
Breastfeeding for Three Months or More Linked to Lower Long-Term Weight Gain in Women
Key Takeaways:
- Women who breastfeed for at least three months may gain significantly less weight later in life, with differences observed decades after childbirth.
- The strongest long-term effect is seen in women who had overweight or obesity before pregnancy.
- Breastfeeding appears to influence energy balance, although individual responses vary and support remains essential.
Long-term impact of breastfeeding on weight
Breastfeeding has long been associated with short-term postpartum weight changes, but new research suggests its effects may extend much further. A study conducted by researchers at the University of Oslo indicates that women who breastfeed for at least three months may experience lower weight gain even decades later.
According to the findings, women gained up to 6.5 kilograms less on average later in life if they breastfed for a minimum of three months. This extends the understanding of breastfeeding beyond its immediate postpartum benefits, highlighting its potential role in long-term weight trajectories.
Previous research has largely focused on weight changes in the first one to two years after childbirth. In contrast, this study followed women for up to 50 years after they had stopped breastfeeding, offering a rare insight into lifelong health patterns. The findings are expected to inform further research into maternal cardiovascular risk.
Large-scale study provides robust data
The analysis drew on data from the Women and Health Study, which includes more than 170,000 women in Norway. The results were published in the American Journal of Clinical Nutrition.
This large cohort allowed researchers to examine how breastfeeding duration relates to weight development across different groups of women, while accounting for factors such as education, physical activity, and smoking.
Strongest effect seen in women with overweight
The most pronounced differences were observed among women who had overweight or obesity in early adulthood, prior to pregnancy.
“We compared women in this group who were otherwise similar in terms of education level, physical activity and smoking. We then found that those who breastfed for three to 15 months gained on average up to 6.5 kilos less from young adulthood to middle age, compared with those who breastfed little,” says Thorbjørn Brun Skammelsrud.
Skammelsrud is completing his doctoral research at the Department of Nutrition, Institute of Basic Medical Sciences at the University of Oslo.
More modest differences in women with normal weight
Among women who had a normal weight in early adulthood, the long-term effect of breastfeeding was still present but less pronounced. Those who breastfed for three to 15 months gained up to 3 kilograms less compared with those who breastfed for shorter periods.
For women who had been underweight before pregnancy, breastfeeding appeared to have little influence on long-term weight outcomes.
Biological mechanisms and individual variation
The study also highlights the complex relationship between breastfeeding and energy balance.
“Breastfeeding increases energy expenditure, so in theory breastfeeding should contribute to weight loss. But precisely because energy expenditure increases, some women will also experience increased appetite when they are breastfeeding,” Skammelsrud explains.
This means that while breastfeeding may support weight regulation at a population level, individual experiences can differ significantly.
Implications for public health
The study included women who had children as early as the 1940s, although the association between breastfeeding and lower weight was strongest among those who gave birth after 1980. This group is considered more representative of current maternal behaviours, particularly in terms of diet and breastfeeding practices.
In Norway, national guidance generally recommends partial breastfeeding for one year or longer, provided both mother and infant are comfortable. Breastfeeding rates in Norway are relatively high compared with many other countries.
“This is positive for public health. At the same time, the study shows that some women may need extra follow-up after giving birth, particularly those with overweight or obesity,” Skammelsrud says.
Supporting women who choose to breastfeed
The findings reinforce the importance of enabling and supporting breastfeeding where desired.
“In this study, we see that breastfeeding for at least three months has a positive effect on women’s weight later in life. It is therefore important that breastfeeding is facilitated, and that women who wish to breastfeed are offered qualified support,” the researcher says.
Ensuring access to appropriate guidance and support may help maximise both short-term and long-term health outcomes for women.
Read More
Whole Milk and Childhood Obesity – New Study Challenges Long-Standing Dietary Advice
Key Takeaways:
- Children who consumed whole-fat milk in early childhood showed lower odds of living with obesity in later childhood compared with those consuming reduced-fat options
- The study found no evidence that whole milk increases adiposity, challenging decades of low-fat dietary guidance
- Researchers suggest milk fat may influence satiety and overall dietary patterns, although mechanisms remain unclear
Rethinking milk fat and childhood health
New research from the University of Toronto suggests that children who consume whole-fat milk during early childhood may have a lower likelihood of living with obesity in middle childhood than those who drink reduced-fat milk.
These findings contribute to a growing body of evidence indicating that lower-fat milk may not provide the protective effect against childhood obesity that has long been assumed. For several decades, dietary guidelines in many countries have promoted low-fat dairy products. For example, Canada’s Dietary Guidelines in 2019 continued to recommend reduced-fat options, reflecting a broader historical focus on reducing dietary fat intake.
Study overview and design
The study, published in the American Journal of Clinical Nutrition, is described as one of the most comprehensive analyses to date examining the relationship between milk consumption and childhood obesity over time.
Researchers, including former postdoctoral fellow Tara Zeitoun and doctoral student Zheng Hao Chen, analysed data from the CHILD Cohort Study. This large, prospective study tracks health data from thousands of children from before birth through to adolescence.
Caregivers reported the type of milk consumed by children, including skim, one per cent, two per cent, and whole-fat milk. Researchers then assessed a range of outcomes at ages five and eight, including:
- Body mass index (BMI)
- Waist-to-height ratio
- Fat mass
- Preclinical and clinical obesity status
Key findings
Milk consumption was common among participants, with over 90 per cent of children consuming milk before the age of five. Among these:
- 24 per cent consumed whole-fat milk
- Approximately half consumed less than one cup per day
Despite relatively modest intake, notable differences emerged. Children who consumed whole milk at age five had significantly lower BMI at age eight. They also had 69 per cent lower odds of living with obesity compared with children who consumed skim milk.
In addition, researchers identified a broader pattern in which higher milk fat content was associated with more favourable adiposity profiles.
Expert insight
Kozeta Miliku, a professor of nutritional sciences at the University of Toronto’s Temerty Faculty of Medicine and a researcher at the Joannah and Brian Lawson Centre for Child Nutrition, emphasised the implications of these findings:
“The most important learning from this study is that whole milk was not associated with higher adiposity or obesity risks risk in children, and may even be linked to healthier growth patterns,”
She also highlighted the limitations of focusing narrowly on fat reduction:
“Switching to lower-fat milk has been about cutting fat in the diet, but that may miss the bigger picture,” says Miliku. “When we think about healthy growth, it’s important to consider the overall nutritional context. Removing fat does not automatically make skim milk a healthier choice for children.”
Implications for public health guidance
The findings raise important questions about long-standing public health recommendations. Prior to 2019, Health Canada advised that children transition from whole milk to reduced-fat milk from the age of two. Similarly, the Dietary Guidelines for Americans 2020–2025 supported reduced-fat dairy intake.
However, recent policy developments suggest a shift in thinking. In the United States, the Whole Milk for Healthy Kids Act has allowed full-fat milk to be reintroduced into school lunches, aligning with updated national guidance that is more permissive of full-fat dairy.
Possible biological mechanisms
While the study did not directly investigate underlying mechanisms, the researchers proposed several hypotheses:
- Milk fat may enhance satiety, potentially reducing the consumption of energy-dense, nutrient-poor foods
- It may influence overall energy balance
- It could play a role in metabolic pathways linked to growth and nutritional status
These potential explanations highlight the complexity of dietary patterns and suggest that focusing on single nutrients may overlook broader physiological effects.
The need for further research
Miliku noted that additional research is needed to better understand how milk fat may influence obesity risk and whether any protective effects persist into adolescence and adulthood.
With Canada’s 2019 dietary recommendations offering limited specific guidance on milk consumption for children, the study’s findings may help inform future discussions among parents, clinicians, and policymakers.
A broader view of healthy diets
Miliku concluded by reinforcing the importance of overall dietary quality:
“Whole fat milk can be part of a healthy diet and does not on its own increase obesity risk,” she adds. “And it’s important to think about the overall quality of the diet – the fruits and vegetables, whole grains and protein-rich foods they consume.”
Funding and support
The research was funded by the Canadian Institutes of Health Research and the Joannah & Brian Lawson Centre for Child Nutrition at the University of Toronto, supported through a donation by President’s Choice Children’s Charity.
CCH insights:
This interesting new research will hopefully be the trigger for governments and public health bodies to review and amend their outdated advice to choose low-fat dairy options instead of full-fat. The reductionist approach to nutrition, which considers food just in terms of calories and individual nutrients, is an oversimplification which does not help our understanding of the relationship between food and health. If the best food for children early in life is whole milk, why would it be beneficial for them to suddenly switch to low-fat milk at the age of 2?
Read More
Visual Signals, Healthier Choices – Study Shows Colour-Coded Labels Influence Consumer Decisions
Key Takeaways:
- Colour-coded nutrition labels are more effective than traditional tables in guiding healthier food choices
- Red warning signals have a stronger behavioural impact than green positive cues, reflecting a “negative bias” in decision-making
- Simple visual labelling systems may support public health efforts to address obesity and poor dietary habits
The growing use of colour-coded nutrition labels
Colour coding on food packaging is becoming increasingly common, particularly as policymakers and manufacturers seek ways to guide consumers towards healthier dietary choices. A recent study conducted by researchers from SWPS University, the University of Wisconsin, and the University of Massachusetts suggests that these visual systems are significantly more effective than traditional nutritional tables.
The findings, published in Current Psychology, indicate that the effectiveness of colour-coded labels lies in how the brain processes signals of benefit and risk. Rather than requiring effortful interpretation, colour cues allow for rapid, intuitive judgements about a product’s healthfulness.
Obesity and the need for clearer nutritional guidance
According to the World Health Organization, overweight and obesity are major contributors to the development of chronic diseases. Over the past three decades, the proportion of children and adolescents in the United States who are overweight or at risk has more than tripled, reaching 37% and 34% respectively.
This trend has been driven largely by reduced physical activity and the increased consumption of foods high in fat and sugar. In response, clearer and more accessible nutritional labelling systems are being explored as tools to help people make more informed food choices.
How traffic light labelling works
One widely adopted approach is the traffic light labelling (TLL) system, originally developed in the United Kingdom. This system uses colours to indicate the levels of key nutrients such as calories, fat, saturated fat, sugar, and salt relative to recommended intake levels.
- Green indicates low levels, typically below 15% of the reference intake
- Red signals high levels, typically exceeding 25% of the reference intake
By translating numerical data into easily recognisable visual cues, the system allows consumers to assess a product’s nutritional profile at a glance.
“A picture is worth a thousand words”
The study aimed to explore the psychological mechanisms behind how people interpret these colour-coded labels.
“We decided to investigate the psychological mechanisms behind the reading of color-coded product labels. We drew on theories about verbal and visual information processing, as well as the perception of information in positive and negative contexts. We wanted to bridge a gap. Previous studies focused exclusively on consumer purchasing behavior and analyzed the extent to which color-coded labels influenced the choice of healthy food products,” says Professor Andrzej Falkowski, a business psychologist from the Institute of Psychology at SWPS University and the author of the study.
To examine this, researchers recruited 79 participants in the United States via Amazon Mechanical Turk. Participants were asked to evaluate products such as chicken noodle soup, ranch dressing, and peanut butter. These products were presented either with colour-coded nutrient indicators or with traditional text-based information.
Participants rated each product on a scale from 0 to 10, where 0 indicated “harmful” and 10 indicated “healthy”.
Faster processing, more intuitive decisions
The findings confirmed that visual information is easier for people to process than text. Colour cues are interpreted almost instantly by the brain, requiring minimal cognitive effort.
This enables individuals to make quick, instinctive judgements about whether a product is beneficial, even in time-pressured situations such as shopping. In contrast, traditional nutritional tables require more deliberate analysis, which may reduce their practical usefulness in real-world settings.
The power of red and the role of negative bias
One of the most striking findings was the disproportionately strong influence of the colour red. While green highlights positive attributes, red signals high levels of fat or sugar and prompts caution.
“This result also aligns with existing theories suggesting that negative events exert a stronger influence on behavior than positive ones. It is this ‘negative bias’ that makes color systems so effective. Red causes us to pause and reconsider a purchase,” Professor Falkowski emphasizes.
This asymmetry – where negative signals carry more weight than positive ones – was not observed with traditional labelling formats. Without clear visual cues, participants found it more difficult to distinguish between beneficial and harmful aspects of a product.
Improved consistency in consumer judgements
The study also found that colour-coded labels led to more consistent evaluations across participants. Because the visual system clearly differentiates between risks and benefits, individuals were better able to assess products in a uniform way.
By contrast, traditional descriptors such as “low fat” can be ambiguous and open to interpretation, particularly for those with limited nutritional knowledge. Colour coding, based on universally recognised traffic signals, offers a more accessible and intuitive alternative.
Implications for public health and obesity prevention
The researchers suggest that these findings have important implications for public health policy.
“Given the ongoing global challenges of obesity and poor dietary habits, color-coded labeling represents a simple yet impactful strategy for guiding healthier consumer choices,” Falkowski says.
By enhancing the visibility and clarity of nutritional information, colour-coded systems may encourage people to select healthier options. Over time, such behavioural shifts could contribute to improvements in population health.
The authors conclude that leveraging visual attention mechanisms and simplifying complex nutritional data may be a practical and scalable approach to addressing poor dietary habits and the global rise in obesity.
CCH insights:
The results of this study supports the use colour-coded labelling system as it enables quick health-based decision-making, with minimal time or effort required. And it also revealed that we use the system more to avoid unhealthy ‘red’ foods than to actively choose healthy ‘green’ foods. These outcomes emphasise the complex range of factors that contribute to shopping behaviours and decisions about what people eat. And if we want to encourage people to eat healthily, we need to understand these factors better and consider how best to influence them.
Read More
Weight Loss Drugs May Be Linked to Bone Health Risks, Five-Year Study Shows
Key Takeaways:
- A large observational study suggests a modest increase in osteoporosis and related conditions among people taking GLP-1 receptor agonists over five years
- The underlying cause remains unclear, with weight loss itself, rather than the drugs alone, likely contributing to changes in bone health
- Despite these findings, the cardiovascular and metabolic benefits of GLP-1 therapies continue to outweigh potential skeletal risks for most people
Growing use of GLP-1 therapies raises new questions
Glucagon-like peptide-1 receptor agonists, commonly referred to as GLP-1 drugs, are widely used to manage type 2 diabetes and support weight loss. These medications are recognised for their ability to reduce body weight, improve glycaemic control, and lower cardiovascular risk.
However, emerging long-term data are beginning to highlight potential concerns relating to bone health. A new study, presented at the 2026 annual meeting of the American Academy of Orthopaedic Surgeons, examined five years of real-world data and suggests that these treatments may be associated with an increased risk of certain skeletal conditions.
The findings are observational and have not yet undergone peer review. They demonstrate association rather than causation. Nevertheless, given the rapid uptake of GLP-1 receptor agonists, researchers emphasise the need for careful, ongoing evaluation.
Study findings – signals of increased skeletal risk
Researchers analysed medical records from more than 146,000 adults living with obesity and type 2 diabetes over a five-year period.
Among those taking GLP-1 therapies, approximately 4 percent developed osteoporosis, compared with just over 3 percent of those not taking these medications.
Additional findings included:
- Osteomalacia, or bone softening, occurred in around 0.2 percent of people using GLP-1 drugs, compared with 0.1 percent in the control group
- Gout was slightly more common, affecting 7.4 percent of people taking GLP-1 therapies compared with 6.6 percent in those not taking them
Lead researcher Muaaz Wajahath, a medical student at Michigan State University College of Human Medicine, highlighted the importance of emerging long-term data:
“We are just now reaching the precipice where five- and 10-year follow-up data are becoming available for patients taking GLP-1 medications,” Wajahath said. “Any medication that sees this rapid adoption warrants close examination, particularly in orthopedics, where obesity and surgical intervention often overlap.”
Dr Giles Scuderi, an orthopaedic surgeon and vice president of Northwell Orthopedics, commented on the findings:
“The study findings contradict recent assertions of musculoskeletal protection and suggest that GLP-1 RA exposure may confer increased long-term skeletal risk.”
Is the risk driven by the drug or by weight loss?
A key question remains whether the observed risks are directly caused by GLP-1 medications or are instead related to weight loss itself.
People living with obesity and type 2 diabetes already have elevated risks of inflammation and bone fragility. In addition, weight loss – particularly when rapid or substantial – can affect bone metabolism.
Dr James J. Chao explained:
“As with any weight loss, bone remodeling can occur if patients lose weight on these medications.”
Bone remodelling is the continuous process of breaking down old bone and replacing it with new tissue. During periods of calorie deficit, this balance can shift, resulting in net bone loss.
“If patients lose lean mass on these medications, bone health can be affected due to less strain being placed on bones,” he added.
Dr Fernando Ovalle Jr. reinforced that this is not unique to GLP-1 therapies:
“We’ve seen it with bariatric surgery for many years and even with aggressive caloric restriction. That’s not unique to GLP-1s.”
Balancing risks and benefits
Despite these findings, experts continue to support the use of GLP-1 receptor agonists in appropriate patients.
These medications have demonstrated strong benefits, including:
- Improved glycaemic control
- Reductions in blood pressure and lipid levels
- Lower risk of heart attack and stroke
“In high-risk patients, those benefits are substantial and often life-saving,” Ovalle said.
As a result, the overall benefit–risk balance remains favourable in most cases. While there may be a modest increase in fracture or gout risk, these risks can typically be monitored and managed.
Scuderi echoed this perspective:
“Since heart disease is a leading cause of death, the potential risk of muscle and bone problems might be less important.”
He also emphasised the importance of active clinical management rather than passive prescribing.
Practical steps to protect bone health
Healthcare professionals can take a proactive role in supporting people receiving GLP-1 therapies.
Recommended strategies include:
- Ensuring adequate protein intake to support muscle mass
- Maintaining sufficient calcium and vitamin D levels
- Engaging in regular resistance and weight-bearing exercise
- Avoiding excessively rapid or unsupported weight loss
“Strength training, in particular, is critical,” Ovalle said. “Preserving muscle mass protects bone. If a patient loses weight but also loses significant muscle, fracture risk can increase regardless of the medication used.”
Certain groups may require closer monitoring:
- Postmenopausal women
- Older adults
- Individuals with a history of fractures
Gout risk may also increase temporarily during periods of rapid weight loss.
“Regarding gout, rapid weight loss and changes in uric acid metabolism can transiently increase flares,” Ovalle said. “That’s something we’ve seen even outside of GLP-1 therapy.”
For individuals concerned about bone health, targeted supplementation may be considered. Scuderi noted that healthcare professionals may recommend therapeutic doses of dietary supplements to support lean mass retention and reduce inflammation.
A signal worth monitoring, not a cause for alarm
While early long-term data suggest a potential association between GLP-1 therapies and bone-related risks, these findings should be interpreted with caution.
The study does not establish causation, and multiple factors – including weight loss, underlying conditions, and changes in body composition – are likely to contribute.
At present, GLP-1 receptor agonists remain a valuable and often transformative option for people living with obesity and type 2 diabetes, provided their use is accompanied by appropriate clinical oversight and supportive lifestyle measures.
CCH insight
With so many people taking GLP-1 medications, it is important to keep researching the long-term effects, and this study sheds important light on potential risks with regard to bone health. The most important message here, however, is that this reminds us how it is vital that patients on GLP-1 therapy need to be carefully monitored and supported, particularly during the first year or so when weight loss is relatively rapid. If bone health is affected, this can be managed and treated.
Source: The Epoch Times
Read More
Children with Obesity Face Elevated Long-Term Health Risks Even with Normal Test Results, Study Finds
Key Takeaways:
- Children living with obesity can face significantly higher risks of future disease even when current clinical tests appear normal
- By early adulthood, rates of type 2 diabetes, hypertension and abnormal lipids are markedly higher compared with the general population
- Effective obesity treatment in childhood is associated with meaningful reductions in long-term health risks
Rethinking “metabolically healthy” obesity in childhood
Children living with obesity who show no immediate signs of metabolic complications may still be at substantial risk of developing serious health conditions later in life. New research from the Karolinska Institutet, published in JAMA Pediatrics, challenges the long-standing notion that some children with obesity can be considered “metabolically healthy” and therefore may not require intervention.
The findings contribute to an ongoing clinical debate about whether normal blood markers, liver function and blood pressure in childhood are sufficient indicators of long-term health.
“There has been a debate about whether children with normal blood and liver values and normal blood pressure might not need treatment for their obesity. Our study shows that this assumption is incorrect,” says Claude Marcus, professor at the Department of Clinical Science, Intervention and Technology at Karolinska Institutet.
Study design and population
The study followed just over 7,200 children aged 7–17 in Sweden who had initiated obesity treatment. Participants were tracked longitudinally up to the age of 30, allowing researchers to assess long-term health outcomes.
Children were grouped into three categories:
- Those with metabolically healthy obesity (MHO)
- Those with obesity and impaired cardiometabolic risk markers (MUO)
- A control group drawn from the general population
This design enabled a direct comparison of long-term disease risk across different metabolic profiles in childhood.
A clearly increased risk of future disease
Despite appearing clinically healthy in childhood, individuals with MHO demonstrated a substantially elevated risk of developing cardiometabolic diseases by early adulthood.
By the age of 30:
- 9 percent of individuals with MHO had developed type 2 diabetes, compared with 17 percent in the MUO group and 0.5 percent in the control group
- High blood pressure was observed in 11 percent of the MHO group, 18 percent of the MUO group and 4 percent of the general population
- Abnormal blood lipid levels were present in 5 percent of those with MHO and 13 percent of those with MUO, compared with just 1 percent among controls
These findings indicate that even in the absence of early warning signs, children living with obesity carry a significantly increased burden of future disease risk.
“Even children with obesity who show no signs of cardiometabolic impact have a clearly increased risk of future diseases. This means that normal blood pressure and the absence of abnormal blood test results are not sufficient protection against future morbidity,” says Emilia Hagman, associate professor at the same department and the study’s corresponding author.
The role of early treatment
All children included in the study received structured support aimed at improving lifestyle habits. Researchers examined whether treatment response during childhood influenced long-term outcomes.
A strong response to treatment was associated with a reduced risk of developing all studied conditions – including type 2 diabetes, hypertension and dyslipidaemia. Notably, this protective effect was observed in both MHO and MUO groups.
This suggests that early intervention has meaningful and lasting clinical benefits, regardless of a child’s initial metabolic profile.
“Our results suggest that all children with obesity need treatment, even if they appear completely healthy upon examination,” says Claude Marcus.
Data sources and funding
The study drew on data from Sweden’s national quality registry BORIS, alongside several national health data registries.
Funding was provided by multiple organisations, including the Center for Innovative Medicine, the Ollie and Elof Ericsson Foundation and the Freemason Foundation for Children’s Welfare.
Several researchers reported receiving compensation from companies unrelated to this work. A full list of potential conflicts of interest is available in the original scientific publication.
Implications for clinical practice
The findings underscore the limitations of relying solely on current metabolic markers when assessing risk in children living with obesity. Even in the absence of immediate clinical abnormalities, long-term risks remain significant.
For clinicians, this supports a more proactive and inclusive approach to obesity management in paediatric populations – one that does not defer intervention based on apparently normal test results, but instead recognises obesity itself as a key driver of future health risk.
Read More
Larger Organs, More Cells – New Study Clarifies How Obesity May Increase Cancer Risk
Key Takeaways:
- A new study suggests that larger organ size in people living with obesity increases cancer risk due to a higher number of cells
- Organ growth appears to be driven largely by an increase in cell number rather than simply larger cells
- Findings indicate that organ size may be a more precise predictor of cancer risk than BMI alone
A longstanding question in obesity and cancer
For many years, researchers have recognised a clear association between obesity and an increased risk of cancer, particularly in organs such as the liver, kidneys and pancreas. However, the biological mechanism underpinning this relationship has remained uncertain.
A research team from City of Hope and its Translational Genomics Research Institute, known as TGen, has now provided a clearer explanation. Their findings suggest that the relationship may be explained by a straightforward principle – larger bodies tend to have larger organs, and larger organs contain more cells.
This increase in cell number creates more opportunities for mutations and, consequently, cancer development.
Study design and key findings
The study, presented in Cancer Research, analysed data from 747 adults across a broad spectrum of body mass index (BMI), ranging from underweight at 18.5 kg/m² to severe obesity above 40 kg/m².
Researchers examined the pancreas, kidneys and liver, identifying a consistent pattern: as body weight increased, organ size increased proportionally.
For every 5-point rise in BMI:
- The liver increased in size by 12%
- The kidneys increased by 9%
- The pancreas increased by 7%
These findings demonstrate a measurable and progressive relationship between BMI and organ enlargement.
More cells, not just bigger cells
To better understand how organs grow, the research team analysed kidney tissue from autopsies and biopsy samples from living individuals. This allowed them to distinguish between two biological processes:
- Hypertrophy – where existing cells grow larger
- Hyperplasia – where the number of cells increases
First author Sophie Pénisson, PhD, explained the importance of this distinction:
“When an organ increases in size, the question is to know whether it’s because the cells in it become bigger or whether there are more of them [that are] the same size,” Pénisson said. “And the first case is we call hypertrophy, with bigger cells, and hyperplasia is when we have more cells.”
The results showed that approximately 60% of kidney growth was due to hyperplasia, meaning an increase in the number of cells, while the remainder was due to hypertrophy.
A simple but powerful explanation for cancer risk
These findings support the idea that a greater number of cells increases the likelihood of cancer simply by increasing the number of opportunities for mutations to occur.
Senior author Cristian Tomasetti, PhD, illustrated this concept with a simple analogy:
“Think of playing the lottery: The more tickets you buy, the greater your chances of winning,” Tomasetti said. “Similarly, the more cells in an organ, the more mutations and the greater the risk of one cell going awry during division and becoming cancerous.”
Importantly, this mechanism does not replace existing explanations such as inflammation or hormonal disruption. Instead, it works alongside them.
Pénisson elaborated on this interaction:
“If more cells is like having more raffle tickets, she said, ‘if on top of that, there is inflammation – it means you play more often. With greater frequency, again, you increase your risk of developing cancer.’”
Rethinking BMI as a predictor of risk
The study also raises important questions about the use of BMI as a measure of cancer risk.
Although BMI is widely used in clinical practice, the researchers observed considerable variation in organ size among individuals with similar BMI values. Some individuals within a “healthy” BMI range had organ sizes typically seen in severe obesity, while others with higher BMI did not.
The authors wrote:
“We…observe substantial interindividual variation in organ size among people with similar BMI: For example, some individuals in the healthy BMI range have organ sizes expected only in severe obesity, and vice versa. This large variability suggests that organ size itself may be a better predictor of cancer risk than BMI, a possibility we believe warrants further investigation.”
They further concluded:
“Taken together, these findings establish organ hyperplasia as a previously unrecognized contributor to obesity-related kidney, liver, and pancreatic cancer risk, complementing known mechanisms including inflammation, hormonal changes, and metabolic dysfunction.”
Pénisson reinforced this point:
“When an organ doubles in size, it is expected to roughly double its risk of developing cancer,” Pénisson said, noting that BMI does not distinguish between fat mass and lean tissue. “Our work suggests that, at least for some organs, their dimensions may predict cancer risk better than BMI.”
Can weight loss reverse the risk?
An important question arising from these findings is whether reducing body weight can reverse organ enlargement and lower cancer risk.
Tomasetti indicated that this is an active area of research:
“It’s actually something we are working on right now,” Tomasetti said. “But yes, preliminary data seem to indicate that essentially, you are reverting back according to the same process” that caused the weight gain.
He also referenced emerging evidence presented at the American Society of Clinical Oncology, suggesting a link between GLP-1 receptor agonists and reduced cancer risk, although further research is needed to confirm this relationship.
Implications for treatment and prevention
Given the global scale of obesity, affecting more than 2 billion people, these findings may have important implications for prevention strategies and treatment approaches.
Tomasetti suggested that therapies such as GLP-1 receptor agonists could play a broader role:
GLP-1 RAs “are something that should be given to people as a treatment option to reduce the cancer risk, among other things,” including heart disease.
While further research is needed, this study provides a clearer mechanistic link between obesity and cancer risk and highlights the potential importance of organ size as a clinical marker.
Read More
Genetic Risk Scores Offer Improved Prediction of Obesity, Type 2 Diabetes and Long-Term Health Outcomes
Key Takeaways:
- A new polygenic risk score integrates genetic data from over 8.5 million people to better predict obesity and type 2 diabetes risk
- The model goes beyond traditional measures such as body mass index by incorporating multiple aspects of metabolic function
- Individuals with higher genetic risk were more likely to develop complications and require interventions such as GLP-1 therapy or bariatric surgery
A more comprehensive approach to metabolic risk
Obesity and type 2 diabetes are complex metabolic conditions influenced by a combination of environmental, behavioural and genetic factors. While traditional clinical measures such as body mass index have long been used to assess risk, they do not fully capture the biological complexity underlying these conditions.
In a new study published in Cell Metabolism, researchers from Mass General Brigham have developed an advanced polygenic risk score designed to improve prediction of both obesity and type 2 diabetes, as well as their long-term health consequences. Polygenic risk scores work by aggregating the effects of many genetic variants across the genome, providing an estimate of an individual’s predisposition to developing a given condition.
“Our intention was to not only capture the risk of being diagnosed with obesity or diabetes, but also to better predict health consequences across the life course by integrating many aspects of metabolic function,” said co-first author Min Seo Kim, MD, MSc. “In the future, this genomic approach could complement established clinical risk factors to inform patient care and preventative strategies.”
Building a next-generation polygenic risk score
The research team constructed two distinct metabolic risk scores – one optimised for obesity and another for type 2 diabetes. Unlike conventional models, these scores incorporate genetic signals linked to 20 different traits associated with metabolic health. These include factors such as fat distribution, insulin regulation and glucose control.
To build these models, the investigators drew on genome-wide association studies conducted across some of the largest biobank datasets globally, encompassing more than 8.5 million individuals. This scale allowed the researchers to capture a broad and diverse range of genetic influences.
Importantly, the model moves beyond reliance on body mass index alone, reflecting a growing recognition that metabolic health cannot be fully understood through weight-based measures in isolation.
Predicting disease progression and clinical outcomes
Beyond predicting the likelihood of developing obesity or type 2 diabetes, the new polygenic risk scores demonstrated the ability to forecast downstream health outcomes.
The researchers found that individuals identified as high risk were more likely to go on to develop complications such as cardiovascular disease and stroke. Even among people who were initially healthy, those with a high genetic risk score were approximately twice as likely to require clinical interventions over time.
Specifically, individuals with higher polygenic risk scores were about twice as likely to receive GLP-1 receptor agonist medications or undergo bariatric surgery compared with those with average risk scores, over a median follow-up period of 5.5 years.
These findings suggest that genetic profiling could help identify people at risk earlier in the disease trajectory, potentially enabling more proactive and targeted care.
Improved performance across diverse populations
A notable strength of the study lies in its use of multi-ancestry genetic data. By incorporating genome-wide association studies from a wide range of populations, including African, East Asian, South Asian and Middle Eastern groups, the researchers were able to develop risk scores that performed better across diverse populations than earlier models.
Historically, many genetic prediction tools have been less accurate in non-European populations due to limited representation in genomic datasets. This study represents a step towards addressing that imbalance and improving equity in precision medicine.
Towards more personalised prevention and treatment
The research team emphasises that this work is part of a broader effort to refine understanding of the genetic subtypes of obesity and type 2 diabetes. Improved classification of these conditions could support more precise patient stratification in clinical trials and, ultimately, more tailored interventions in routine care.
“We want clinicians to be able to think about metabolic conditions in terms beyond body mass index, with a focus more broadly on underlying genetic susceptibility,” said co-senior author Akl Fahed, MD, MPH, of the Cardiovascular Research Center at Massachusetts General Hospital and an interventional cardiologist with the Mass General Brigham Heart and Vascular Institute. “Early identification of people who are likely to have a worse trajectory of poor metabolic health, before they even develop these conditions, can help us improve prevention and clinical interventions. That is how we can cure disease, and that is the bold mission that we are after.”
Implications for clinical practice
While further validation and implementation work will be required, the findings highlight the potential role of genomic tools in enhancing current approaches to metabolic disease prevention and management. By complementing existing clinical risk factors, polygenic risk scores could support earlier identification of people at risk and enable more personalised, proactive care pathways.
As healthcare systems increasingly move towards precision medicine, integrating genetic insights with clinical decision-making may become an important step in improving outcomes for people living with obesity and type 2 diabetes.
CCH insights:
This is exciting research, and a big step towards precision obesity prevention, as it gives us an individual risk score for obesity and diabetes for each patient. However, it is only half the story – ideally we’d also like to be able to determine what type of interventions will work best for each individual (in terms of diet, lifestyle and medicine) in order to optimise their chances of good metabolic health and achieving a healthy weight. Hopefully the ability to do this is not too far away.
Read More
Switching GLP-1 Medications May Improve Long-Term Engagement in Obesity Treatment, Real-World Study Suggests
Key Takeaways:
- Real-world data from nearly 127,000 adults with overweight or obesity found that switching between GLP-1 receptor agonist medications was associated with greater long-term treatment persistence.
- Only about one quarter of patients remained on any GLP-1 therapy after one year, highlighting ongoing challenges with long-term adherence.
- Researchers suggest that changing medications should be viewed as a normal part of obesity care, rather than as a sign that treatment has failed.
Large real-world study examines how patients use GLP-1 medications
Patients without diabetes who switched between glucagon-like peptide-1 receptor agonist (GLP-1RA) medications for overweight or obesity were more likely to remain engaged with treatment than those who stayed on the same medication, according to new research conducted by investigators at UT Southwestern Medical Center.
The findings were published in JAMA Network Open and provide one of the most detailed real-world analyses to date of how adults with overweight or obesity use these medications over time. The study suggests that switching between drugs within the same therapeutic class is relatively common and may play an important role in sustaining long-term treatment.
The researchers argue that clinicians should not interpret medication changes as treatment failure. Instead, they suggest that switching therapies may represent a pragmatic strategy to maintain continuity of care when patients experience side effects, access issues, or other barriers.
“This study provides one of the largest real-world descriptions to date of how adults with overweight or obesity use and switch GLP-1RAs over time,” said first author Luyu (Amber) Xie, Ph.D., Pharm.D., Assistant Professor in the Peter O’Donnell Jr. School of Public Health and co-Director of the Biostatistics and Data Science Core at UT Southwestern. “It highlights that long-term persistence is low and that switching between medications is a relatively common part of ongoing treatment rather than a sign of failure.”
Tracking medication use in nearly 127,000 adults
To examine treatment patterns, the research team analysed insurance claims data from nearly 127,000 adults in the United States who were living with overweight or obesity and initiated GLP-1RA therapy between 2019 and 2024.
Participants in the study did not have diabetes and were prescribed GLP-1 medications specifically for weight management. The researchers tracked medication use over a 12-month period following treatment initiation in order to understand how patients continued, discontinued, or switched therapies.
The analysis revealed that treatment pathways were rarely straightforward. Instead of remaining on a single medication for the entire year, many patients experienced adjustments to their treatment regimen. These changes were often driven by factors such as side effects, medication availability, insurance coverage, and the introduction of newer therapies.
GLP-1 receptor agonists have become a central component of modern obesity treatment. Medicines in this class include semaglutide, liraglutide, and tirzepatide, all of which act on hormonal pathways involved in appetite regulation and metabolic control. Despite their clinical effectiveness, maintaining long-term adherence has proven difficult for many patients.
Persistence remains a major challenge
The study found that long-term persistence with GLP-1RA therapy remains relatively low.
After one year, only around one quarter of patients remained on any GLP-1 medication. During that same period, approximately one in five patients transitioned from their initial therapy to a different GLP-1RA.
However, the data also revealed an important pattern. Patients who switched medications were more likely to continue treatment overall and demonstrated higher levels of adherence compared with those who remained on their original therapy.
These findings suggest that medication switching may reflect proactive clinical management rather than treatment failure.
“Switching between GLP-1RA medications should be viewed as a normal part of long-term obesity care,” said senior author Sarah Messiah, Ph.D., M.P.H., Professor of Epidemiology and Pediatrics, Associate Dean for Research in the O’Donnell School of Public Health, and Director of the Child and Adolescent Population Health Program. “Persistence should not be judged by staying on a single drug indefinitely, but by maintaining engagement in care and working with clinicians to find sustainable, effective treatment strategies over time.”
Visualising treatment pathways
In addition to analysing persistence and switching rates, the researchers also mapped treatment pathways to illustrate how patients moved between different medications over the course of the study period.
These visualisations showed that newer once-weekly injectable therapies frequently served both as initial treatments and as destinations when patients switched from other medications. This pattern reflects the growing role of these agents in contemporary obesity management.
According to the researchers, these dynamic treatment pathways highlight the evolving nature of obesity pharmacotherapy and reinforce the need for flexible treatment strategies.
“In today’s clinical environment, successful obesity care often involves adapting treatment over time rather than expecting a single medication to meet every patient’s needs indefinitely,” said co-author Jaime Almandoz, M.D., M.B.A., Professor of Internal Medicine in the Division of Endocrinology and Medical Director of UTSW’s Weight Wellness Program.
Setting realistic expectations in obesity care
The findings also underline the importance of setting realistic expectations with patients at the start of treatment.
Clinicians may need to emphasise that finding the most effective long-term medication strategy can involve trial and adjustment. In some cases, more than one medication may be prescribed before a sustainable approach to treatment is established.
By framing medication adjustments as part of routine care, clinicians may help patients remain engaged with treatment and reduce the perception that a change in therapy represents a setback.
Future research on personalised treatment pathways
The authors note that additional research is needed to better understand the factors that shape treatment trajectories in obesity care.
Future work will explore how patient characteristics, specific medications, and the timing of therapy influence patterns of persistence and switching. The goal is to generate insights that can support more personalised and sustainable approaches to treatment.
Study contributors and funding
Additional UT Southwestern researchers involved in the study include Diego Anazco Villarreal, M.D., an Internal Medicine resident; Azucena Herrera Chancay, M.D., an Internal Medicine fellow; M. Sunil Mathew, M.S., Senior Population Science Data Manager; and Jackson Francis, M.P.H., Population Science Project Coordinator.
The research was supported by the UTSW Clinical and Translational Science Award, the National Institutes of Health (1U54TR00236), the Texas Health Resource Clinical Scholar program, and the UTSW Nutrition & Obesity Research Center (NORC).
CCH insight:
This is an interesting study which looks at a very important issue. Obesity is a chronic relapsing disease so ongoing, long-term treatment is necessary. If a patient is struggling with a particular medication, the opportunity to try an alternative is very helpful, and will increase the chances of adhering to treatment. The number of options is gradually increasing, most notably with oral formulations becoming available this year, and new drugs in the pipeline such as petrelintide, which promises slightly less weight loss than Wegovy or Tirzepatide, but minimal gastrointestinal side effects – so far better tolerability. All these developments should help patients find a medication that works for them, enabling long-term treatment compliance and better outcomes.
Read More
Hong Kong Unveils First Territory-Wide Weight Management Strategy to Address Rising Obesity Rates
Key Takeaways:
- Hong Kong has launched its first comprehensive three-year Action Plan on Weight Management, introduced on World Obesity Day (4 March) in response to data showing that more than half of the city’s adults are living with overweight or obesity.
- The strategy is built around five pillars and 15 specific objectives, including improved health education, strengthened healthcare services, and environmental changes that support healthier lifestyles.
- Officials acknowledge that low awareness and misperceptions about body weight remain major barriers, with many individuals who are overweight believing their weight is “just right”.
Hong Kong launches its first comprehensive weight management plan
Hong Kong has introduced its first territory-wide action plan aimed at improving weight management across the population, marking a significant step in the city’s efforts to address rising levels of overweight and obesity.
The initiative was officially launched on World Obesity Day, 4 March, and will run for three years. It follows findings from the Department of Health’s Population Health Survey conducted between 2020 and 2022, which revealed that more than half of Hong Kong’s adult population are living with either overweight or obesity.
Officials have positioned the plan as part of broader international and national efforts to address obesity. The strategy contributes to China’s national Weight Management Year initiative and aligns with the World Health Organization’s global framework aimed at reducing obesity worldwide.
The new plan aims not only to raise awareness of weight management but also to create conditions that make healthier choices easier for people across the territory.
A framework built around five strategic pillars
The action plan is organised around five core pillars, each designed to address different aspects of weight management across society.
These pillars include:
- Strengthening health education and promotion
- Creating a supportive social environment
- Enhancing health service delivery
- Adopting a life-course approach to health promotion
- Continuously monitoring population weight trends
Together, these pillars translate into 15 concrete objectives that government departments will pursue during the programme’s three-year implementation period.
The timeline of the plan is also structured in stages. 2026 will focus primarily on raising public awareness, helping people better understand healthy weight and lifestyle behaviours. The second year will concentrate on encouraging positive behavioural change, while the final year will emphasise long-term maintenance, with the goal of embedding healthier habits into everyday life.
Public initiatives begin with a city-wide walking challenge
The first public initiative under the strategy will begin on 21 March, when authorities launch a “10,000 Steps a Day” walking challenge.
The programme will be integrated into the eHealth mobile application’s e+Life platform, allowing participants to track their daily activity digitally. The launch will be marked by a ceremony and public carnival at the West Kowloon Cultural District, intended to encourage participation and raise awareness about physical activity.
Alongside this campaign, the action plan outlines several longer-term measures aimed at promoting healthier lifestyles across the city.
These include:
- Installing weight measurement devices in public housing estates and schools
- Integrating weight management education into school curricula
- Designing pedestrian-friendly urban environments that encourage walking and other forms of physical activity
By combining digital tools, education, and environmental changes, officials hope to create a more supportive ecosystem for healthier behaviours.
A life-course approach to health promotion
According to public health officials, the plan adopts a life-course approach, addressing health and weight management from the earliest stages of life through to older adulthood.
Dr Edwin Tsui, controller of the Centre for Health Protection, explained that the strategy is intended to cover the entire lifespan.
He said the plan takes “a systematic approach covering the full lifespan, from prenatal nutrition to maintaining function in old age.”
Tsui also emphasised the role of primary healthcare as a central component of the initiative, noting that healthcare services will act as the gatekeeper of public health within the strategy.
The plan also encourages collaboration between Chinese medicine and Western medicine practitioners, reflecting Hong Kong’s mixed healthcare landscape. At the same time, authorities intend to use the eHealth digital platform to help residents track and manage their personal health information.
Low awareness and misperceptions present major challenges
Despite the ambitious scope of the initiative, health officials acknowledge that significant barriers remain.
One of the most notable challenges is limited awareness about healthy weight and weight management among the public.
Dr Anne Chee, head of the Non-Communicable Disease Branch at the Department of Health, highlighted this issue during a radio programme. She explained that many individuals living with overweight may not recognise it as a health concern.
Among people who are overweight, she said two-thirds believe their weight is “just right” or even “too thin.”
Chee also noted that many individuals have taken no action to manage their weight over the past year, reflecting gaps in public understanding of healthy weight management.
She further emphasised that some people may not know how to calculate their body mass index, pointing to broader deficiencies in knowledge related to weight and health.
Sustaining behaviour change may prove difficult
Experts outside government have also raised concerns about the challenge of maintaining behavioural change over time.
Sports scientist Professor Lobo Louie from the Education University of Hong Kong warned that while awareness campaigns can be effective, they do not always translate into lasting lifestyle changes.
Louie pointed to the gap between initial engagement and long-term commitment, noting that maintaining motivation may prove difficult for many individuals.
This highlights a broader challenge faced by public health initiatives worldwide – transforming awareness into sustained behaviour change.
Cross-government collaboration to support healthier lifestyles
The action plan is designed as a cross-government initiative, bringing together multiple public agencies.
Departments involved include those responsible for:
- Health
- Education
- Leisure and cultural services
- Urban planning
A cross-departmental working group established in October is coordinating these efforts. The group aims to strengthen collaboration not only within government but also with businesses, academic institutions, and community organisations.
Officials hope that this multi-sector approach will create broader societal support for healthier lifestyles.
A voluntary strategy with long-term ambitions
For the moment, the programme relies largely on voluntary participation and public education, rather than regulatory measures.
Whether these measures will be sufficient to reverse current trends remains uncertain. Officials recognise that individual willpower or clinical care alone cannot solve the obesity challenge.
Instead, they emphasise that the wider social and physical environment must also support healthier choices, making it easier for people to adopt and maintain healthy behaviours.Further information about the strategy and related initiatives is available on the Department of Health’s Change4Health website.
CCH insight:
We wish the authorities and people of Hong Kong the best of luck with this programme, but evidence from other countries suggest it is highly unlikely to make a significant reduction in the prevalence of obesity. We know that obesity results from genetic and biological factors driving overeating, made possible by an environment which encourages over-consumption of food. The programme is not attempting to change the population’s biology (by increasing access to anti-obesity medications, for example), nor to restrict the availability of obesogenic foods, so it is unlikely to lead to the kind of changes in behaviour it is aiming for.
Read More
Reducing Parental Stress May Help Lower Childhood Obesity Risk, Yale Study Suggests
Key Takeaways:
- A Yale study suggests that reducing parental stress may play an important role in lowering obesity risk in young children.
- Parents who took part in a mindfulness-based stress management programme showed improvements in parenting behaviours and children’s eating habits.
- Children whose parents received the stress-focused intervention were less likely to gain excess weight during follow-up compared with those receiving standard nutrition advice alone.
Childhood obesity continues to rise
Childhood obesity has been increasing in recent years and remains a major public health concern. According to the U.S. Centers for Disease Control and Prevention, approximately one in five children and adolescents in the United States met the clinical definition of obesity in 2024.
Efforts to prevent obesity in children have traditionally focused on encouraging healthier diets and increasing levels of physical activity. However, new research from Yale University suggests that another factor may also be important in shaping children’s health outcomes – parental stress.
A research team led by psychologist Rajita Sinha has found evidence that helping parents manage stress more effectively may reduce obesity risk among young children. The findings were published in the journal Pediatrics.
“It’s the third leg of the stool,” said Sinha. “We already knew that stress can be a big contributor in the development of childhood obesity. The surprise was that when parents handled stress better, their parenting improved, and their young child’s obesity risk went down.”
How parent stress may influence children’s health
Previous research has shown that children are more likely to develop obesity if their parents are living with obesity. However, scientists have increasingly suspected that psychological and environmental factors within families may also influence early childhood weight gain.
Parental stress has emerged as one such potential contributor.
Studies suggest that parents experiencing high levels of stress may be more likely to rely on convenient or fast-food options and less nutritious dietary patterns. These habits can influence the types of foods available in the home and shape children’s developing eating behaviours.
Stress can also affect broader family routines. When parents feel overwhelmed, regular meal patterns may become disrupted, healthier foods may be replaced with more convenient alternatives, and positive parenting behaviours may decline. Reduced patience, decreased emotional responsiveness, and less consistent family structure may all affect children’s wellbeing.
Despite these insights, most childhood obesity prevention programmes continue to focus primarily on nutrition education and physical activity promotion.
According to Sinha, these approaches alone often fail to produce long-lasting behavioural change.
Sinha is the Foundations Fund Professor in Psychiatry and a professor in neuroscience and child study at Yale School of Medicine.
A randomised trial examining stress reduction
To better understand the potential role of parental stress, the research team conducted a 12-week randomised prevention trial involving 114 parents.
Participants represented diverse ethnic and socioeconomic backgrounds and all had children aged between two and five years old who were living with overweight or obesity.
Parents were randomly assigned to one of two groups:
- Parenting Mindfully for Health (PMH) – a stress-focused intervention programme
- Standard counselling focusing on nutrition and physical activity
The Parenting Mindfully for Health programme combined several elements. Parents were taught mindfulness techniques and behavioural self-regulation strategies designed to help them manage stress more effectively. The programme also included guidance on healthy eating and physical activity for families.
Both groups attended weekly sessions lasting up to two hours over the 12-week study period.
During the programme, researchers measured parental stress levels, parenting behaviours, and children’s weight. Parenting behaviours assessed included warmth, listening, patience, and positive emotional interactions with children.
Researchers also evaluated children’s dietary patterns, including both healthy and unhealthy food consumption.
Children’s weight was measured again three months after the programme ended in order to assess whether any benefits were sustained.
Stress reduction linked to improvements in parenting and eating habits
The results showed clear differences between the two groups.
Parents who participated in the Parenting Mindfully for Health programme experienced significant reductions in stress levels, alongside improvements in parenting behaviours.
Children in these families also showed reductions in unhealthy food intake.
Importantly, during the three-month follow-up period, children in the PMH group did not experience significant weight gain.
In contrast, the comparison group receiving only nutrition and physical activity counselling showed no meaningful improvements in parental stress or parenting behaviours.
Children in this group experienced greater weight gain during the follow-up period and were six times more likely to move into the overweight or obesity risk category.
Researchers also observed differences in the relationships between stress, parenting, and children’s diet.
Among families in the control group, higher parental stress remained associated with weaker parenting behaviours and lower intake of healthy foods among children.
However, this relationship was no longer statistically significant in families who had participated in the stress management intervention.
“The combination of mindfulness with behavioral self-regulation to manage stress, integrated with healthy nutrition and physical activity, seemed to protect the young children from some of the negative effects of stress on weight gain,” Sinha said.
Building on research into stress and chronic disease
The study builds on broader research conducted at the Yale Stress Center, an interdisciplinary consortium established through a 2007 National Institutes of Health Common Fund initiative.
The centre investigates the biological and behavioural effects of stress, including how stress influences health behaviours and contributes to chronic mental and physical illnesses.
Researchers involved in the current study emphasised that childhood obesity remains a pressing health concern.
“Childhood obesity is such a major issue right now, and the results of this study are highly relevant to the current administration’s priority of reducing childhood chronic diseases,” said Sinha. “When people start moving up the weight scale, their risk of obesity-related illnesses, even in children, is increased.”
The findings suggest that addressing parental stress may represent an additional strategy for preventing early childhood obesity.
Longer-term studies are now underway to better understand the sustained effects of the Parenting Mindfully for Health programme. According to Sinha, results from a larger group of families followed for two years are expected in future research.
Research team and funding
The study was co-led by Wendy Silverman, the Alfred A. Professor in the Child Study Center and professor of psychology, and Ania Jastreboff, the Harvey and Kate Cushing Professor of Medicine and professor of pediatrics.
Additional contributors came from several departments at Yale School of Medicine, including pediatrics, neuroscience, and the Yale Child Study Center.
Researchers from the Bethesda Group, the Chicago School of Professional Psychology, the University of New Mexico, and George Mason University also participated in the study.
The research was supported by funding from the U.S. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).
CCH insight:
Childhood obesity is rising and is a major public health concern, so research like this, which improves our understanding of the determinants of childhood obesity, are very valuable. We know that stress causes overeating in many adults, and it is not surprising that it can impact their children too. People experiencing high levels of stress are usually time-poor and will find it very challenging to provide a healthy diet and lifestyle for their young children. The intervention described in the study appears to be effective, but the difficulty will be in scaling it up, at an affordable cost, so it can reach tens or hundreds of thousands of families. Developing an online version would be one way to approach this.
Read More
Ultra-Processed Food Intake Linked to Higher Risk of Binge Eating in Adults Living with Obesity
Key Takeaways:
- Higher consumption of ultra-processed foods was associated with increased symptoms of binge eating, bulimia-related behaviours, and emotional or uncontrolled eating in adults living with obesity.
- Individuals consuming the greatest proportion of ultra-processed foods had poorer overall diet quality and significantly lower protein intake.
- The findings suggest that addressing eating behaviour patterns alongside dietary composition may be important when supporting people living with obesity.
Rising consumption of ultra-processed foods during nutritional transition
A cross-sectional study published in Archives of Endocrinology and Metabolism has explored the relationship between ultra-processed food (UPF) intake and eating behaviour among adults living with obesity in São Paulo, Brazil.
The research was conducted against the backdrop of a broader nutritional transition that has been occurring in many developing countries. Economic development, demographic changes, cultural shifts, and evolving food systems have led to major transformations in dietary patterns.
While these changes have contributed to reductions in malnutrition and infectious diseases, they have also been accompanied by a marked increase in noncommunicable diseases such as obesity. A key driver of this shift has been the growing consumption of highly processed foods that are rich in fat, sugar, and refined ingredients.
Previous research has linked high consumption of ultra-processed foods to a range of adverse health outcomes, including obesity, overweight, type 2 diabetes, metabolic syndrome, cardiovascular and cerebrovascular disease, anxiety, depression, and increased all-cause mortality.
There is also emerging evidence that ultra-processed foods may influence eating behaviour itself. Some studies suggest that these foods may affect neurobiological and endocrine pathways that regulate appetite, potentially encouraging compulsive overeating.
Disordered eating patterns are also known to occur among individuals living with obesity. These patterns can complicate treatment and may reduce the effectiveness of weight management interventions. Understanding how ultra-processed food consumption interacts with eating behaviour is therefore clinically important.
Study design and participant characteristics
To explore this relationship, researchers recruited adults aged 18 to 59 years living with obesity, defined as a body mass index (BMI) of 30 kg/m² or higher. Participants were recruited both through a clinical obesity treatment service and via social media in São Paulo.
Several exclusion criteria were applied to minimise confounding factors. Individuals were excluded if they were pregnant or had diagnosed eating disorders, cardiac disease, renal disease, obesity caused by genetic disorders, or if they were taking antiepileptic medications or corticosteroids. People who smoked, misused alcohol, or were currently receiving pharmacological treatment for weight loss were also excluded.
Dietary intake was assessed using three non-consecutive 24-hour dietary recalls, including one weekend day. Researchers used the multiple-pass method, a structured interview approach designed to improve the accuracy of dietary reporting.
Foods reported in the recalls were categorised using the NOVA classification system, which groups foods according to the degree of industrial processing. Diet quality was assessed using the Diet Quality Index associated with the Digital Food Guide.
Eating behaviour was evaluated using validated self-administered online questionnaires:
- BITE (Bulimic Investigatory Test Edinburgh) – measuring symptoms and severity of bulimia and binge eating
- TFEQ-21 (Three-Factor Eating Questionnaire) – assessing cognitive restraint, emotional eating, and uncontrolled eating
- DEBQ (Dutch Eating Behaviour Questionnaire) – evaluating external eating, emotional eating, and restrained eating
Associations between ultra-processed food intake and eating behaviours were analysed using generalised linear models.
Prevalence of unusual eating behaviours
A total of 77 adults took part in the study. Of these participants, 78 percent were female.
The mean age of the group was 36 years, and the average BMI was 39.14 kg/m², corresponding to class II obesity.
Participants were divided into three groups based on the proportion of calories derived from ultra-processed foods:
- First tertile – less than 24.1 percent of calories from UPFs
- Second tertile – 24.1 percent to 35.4 percent
- Third tertile – more than 35.4 percent
Only around one quarter of participants displayed what researchers classified as normal eating behaviour.
In contrast:
- Approximately 52 percent exhibited unusual eating behaviour
- 23.4 percent reported binge eating
Symptoms consistent with unusual eating behaviours were observed across all tertiles of ultra-processed food consumption. However, participants in the highest UPF tertile showed significantly higher symptom scores on the BITE questionnaire compared with those in the lowest tertile.
Despite this difference in symptom scores, severity scores did not significantly differ between groups.
Overall, 40.3 percent of participants had clinically significant symptoms, while 13 percent were classified as having severe symptoms.
Eating style patterns associated with UPF intake
The study also examined several different eating style patterns.
Using the DEBQ questionnaire, researchers found that:
- 37.8 percent of participants had elevated external eating scores
- 36.5 percent had elevated emotional eating scores
- 25.7 percent had elevated restrained eating scores
Results from the TFEQ-21 questionnaire revealed:
- 52 percent had higher emotional eating
- 29.3 percent demonstrated increased cognitive restraint
- 18.7 percent showed higher uncontrolled eating
Higher intake of ultra-processed foods was positively associated with several problematic eating behaviours.
These included:
- Binge eating and bulimia-related symptoms measured by BITE
- Emotional eating
- External eating
- Uncontrolled eating
Together, these results suggest that people consuming larger amounts of ultra-processed foods were more likely to display eating behaviours characterised by reduced self-regulation and greater responsiveness to emotional or environmental triggers.
Diet quality and macronutrient intake
Across the overall study population, diet quality was classified as intermediate.
Participants in the highest ultra-processed food tertile had significantly lower diet quality scores than those in the lower tertiles.
Clear dietary differences were also observed between groups.
Participants in the lowest tertile consumed a higher proportion of unprocessed or minimally processed foods, whereas those in the highest tertile consumed more ultra-processed foods.
Interestingly, individuals in the first and second tertiles reported greater intake of processed culinary ingredients, such as oils or sugars used in cooking, compared with those in the third tertile.
The average macronutrient distribution across the entire sample was:
- 20 percent protein
- 48 percent carbohydrates
- 32 percent lipids
Participants in the highest UPF tertile had significantly lower protein intake than those in the other groups. Carbohydrate and lipid intake did not differ significantly between tertiles.
Median total daily caloric intake across the sample was 1,661 kcal. However, participants in the highest UPF tertile reported higher caloric intake than those in the second tertile.
Researchers suggested that lower protein intake associated with higher UPF consumption may influence satiety and appetite regulation, potentially contributing to overeating.
Clinical implications and study limitations
Overall, the study found that more than half of adults living with obesity exhibited unusual eating behaviours.
Higher intake of ultra-processed foods was associated with:
- Binge eating
- Bulimia-related symptoms
- Emotional eating
- External eating
- Uncontrolled eating
In addition, greater consumption of ultra-processed foods was linked to poorer diet quality and reduced protein intake.
These findings suggest that obesity treatment strategies may benefit from incorporating both dietary assessment and evaluation of eating behaviour patterns. Addressing behavioural drivers alongside nutritional composition could potentially improve weight management outcomes.
However, the authors emphasised several important limitations.
Because the study used a cross-sectional design, it cannot establish cause-and-effect relationships. The research was also conducted within a single clinical population in one urban centre, which may limit the generalisability of the findings.
In addition, dietary recalls and questionnaires were self-reported, which may introduce recall bias or social desirability bias. The relatively small sample size and predominantly female participant group may also affect the applicability of the results to broader populations.
Nevertheless, the study highlights the importance of considering ultra-processed food consumption within a wider behavioural and nutritional context when addressing obesity and supporting individuals in weight management.
Read More
GLP-1 Weight-Loss Drugs Found to Work in Rare Genetic Obesity
Key Takeaways:
- GLP-1–based medicines reduced body weight and improved metabolic health in animals lacking the MC4R receptor, a critical regulator of appetite and body weight
- The findings suggest these therapies may work through alternative brain and peripheral pathways, offering potential treatment options for people living with rare genetic obesity
- Researchers highlight potential risks linked to lean mass loss, emphasising the importance of long-term monitoring and muscle-preserving treatment strategies
Understanding genetic obesity and loss of appetite control
For individuals born with certain genetic mutations affecting appetite regulation, managing body weight can resemble attempting to stop a vehicle with failing brakes. Despite sustained effort, biological signals governing hunger and energy balance do not respond normally.
One of the most important regulators of food intake is the melanocortin-4 receptor (MC4R), located within the hypothalamus. This receptor plays a central role in maintaining energy balance by responding to hormonal signals that indicate satiety.
When mutations disrupt signalling pathways linked to MC4R, individuals may experience profound dysregulation of appetite. Children affected by these mutations frequently develop severe early-onset obesity, and by adulthood many conventional interventions have produced limited or no sustained benefit.
New research published in the International Journal of Obesity now suggests that widely used GLP-1–based anti-obesity medicines may offer a potential therapeutic approach even when this critical biological pathway is absent.
Testing GLP-1 medicines without MC4R function
The research team investigated whether modern incretin-based therapies could still produce weight-loss effects in the complete absence of MC4R signalling.
To explore this question, scientists used genetically engineered mice lacking the MC4R gene entirely. These animals closely replicate clinical features seen in people living with MC4R pathway deficiency, including:
- Excessive food intake
- Rapid fat accumulation
- Fatty liver disease
- Elevated cholesterol levels
- Early insulin resistance
Under normal physiological conditions, hunger regulation relies heavily on signalling cascades such as the POMC–MC4R and leptin–MC4R pathways, which transmit satiety signals as the stomach approaches fullness. Disruption anywhere along these pathways can lead to some of the most treatment-resistant forms of obesity recognised in clinical medicine.
The researchers therefore posed a direct question: would GLP-1 therapies still work if MC4R signalling were completely removed?
Three leading anti-obesity drugs evaluated
The study examined three prominent weight-management medicines:
- Semaglutide
- Tirzepatide
- Retatrutide
All belong to the broader class of GLP-1–based therapies, which act on receptors distributed across the brain, pancreas and vagus nerve connecting the brainstem to abdominal organs.
Each drug was administered once daily via injection over a 21-day period.
Despite the absence of functional MC4R signalling, all three treatments produced substantial anti-obesity effects. As the authors reported:
“Our findings demonstrate that all three GLP-1 analogs exhibit significant anti-obesity effects in MC4R KO mice.”
Significant weight and metabolic improvements
Weight reduction occurred across all treatment groups:
- Semaglutide reduced body weight by an average of 19.7 percent
- Retatrutide achieved a 24.1 percent reduction
- Tirzepatide, which targets both GLP-1 and GIP receptors, produced the largest effect with a 31.6 percent reduction
Importantly, these outcomes occurred in animals completely lacking MC4R function.
Food intake declined consistently across groups, accompanied by broader metabolic improvements. Researchers observed:
- Reduced liver injury markers
- Lower cholesterol and triglyceride levels
- Suppression of liver genes associated with fat production
The authors concluded:
“These results suggest that GLP-1 analogs may provide an effective treatment option for patients with MC4R-POMC pathway deficiencies.”
Alternative brain and peripheral mechanisms
The findings indicate that GLP-1 therapies may bypass defective MC4R signalling entirely.
According to the research team:
“GLP-1 analogs appear to exert their anti-obesity effects through central pathways that do not involve MC4R, as well as via peripheral mechanisms involving the vagus nerve.”
This alternative mechanism may explain why the drugs remained effective despite removal of a pathway traditionally considered essential for appetite regulation.
Tirzepatide’s superior performance may relate to its additional action on the GIP receptor, providing dual hormonal signalling that enhances metabolic effects.
Implications for rare genetic obesity disorders
The results carry particular relevance for clinicians caring for people living with rare genetic obesity conditions, including POMC deficiency and Prader–Willi syndrome.
Currently, one approved therapy for some of these disorders, setmelanotide, works by stimulating the melanocortin pathway itself. However, treatment effectiveness depends on partial pathway function, which may limit outcomes in individuals with more severe deficiencies.
GLP-1–based therapies differ in that their effects do not appear dependent on MC4R signalling, potentially expanding treatment possibilities for individuals previously considered difficult to treat pharmacologically.
Lean mass loss and long-term considerations
Alongside reductions in fat mass, researchers observed decreases in lean body mass across all treatment groups. This raises important clinical considerations regarding prolonged therapy.
The authors cautioned:
“Chronic suppression of food intake could lead to muscle loss, potentially resulting in sarcopenia.”
They further noted that:
“Combination strategies, possibly including agents that preserve or increase muscle mass, may help mitigate this effect.”
These findings reinforce growing clinical discussion around muscle preservation during pharmacological weight management.
Early evidence, not yet clinical practice
While the results are encouraging, important limitations remain.
The study:
- Ran for only three weeks
- Included only male mice
- Lost two animals from the tirzepatide group before completion
- Has not yet been replicated in human clinical trials involving individuals with MC4R mutations
As such, the findings represent proof of biological concept rather than immediate clinical guidance.
The researchers summarised their conclusion clearly:
“This study provides the first demonstration that GLP-1 analogs can be effective in treating obesity associated with MC4R deficiency.”
A potential shift in understanding obesity treatment
The study contributes to a broader shift in obesity science, suggesting that effective treatment may not depend on restoring a single disrupted pathway. Instead, therapies capable of engaging multiple neural and peripheral systems may overcome even profound genetic drivers of obesity.
For people living with rare genetic forms of obesity, these findings offer cautious optimism that future treatments may succeed where traditional approaches have historically fallen short.
Read More