Risk Of Adult Obesity Research Articles

Population-Based Study of Rare Coding Variants in NR5A1/SF-1.

Steroidogenic Factor 1/Nuclear Receptor Subfamily 5 Group A Member 1 (SF-1/NR5A1) is critical for the development and function of sex organs, influencing steroidogenesis and reproduction. While rare deleterious NR5A1/SF-1 variants have been identified in individuals with various differences of sex development (DSD), primary ovarian insufficiency, and infertility, their impact on the general population remains unclear. We analyzed health records and exome sequencing data from up to 420 162 individuals (227 858 women) from the UK Biobank study to assess the impact of rare (frequency < 0.1%) predicted deleterious NR5A1/SF-1 variants on age at menopause and 26 other traits. No carriers of rare protein truncating variants in NR5A1/SF-1 were identified. We found that the previously reported association of rare deleterious missense NR5A1/SF-1 variants with earlier age at menopause is driven by variants in the DNA binding domain (DBD) and ligand binding domain (LBD) (combined test: beta = -2.36 years/allele, [95% CI: 3.21, -1.51], N = 107 carriers, P = 4.6 × 10-8). Carriers also had a higher risk of adult obesity (OR = 1.061, [95% CI: 1.003, 1.104], N = 344, P = .015), particularly among women (OR = 1.095 [95% CI: 1.034, 1.163, P = 3.87 × 10-3], N = 176), but not men (OR = 1.019, [95% CI: 0.955, 1.088], P = .57, N = 168). Deleterious missense variants in the DBD and LBD likely disrupt NR5A1/SF-1 function. This study broadens the relevance of deleterious NR5A1/SF-1 variants beyond rare DSDs, suggesting the need for extended phenotyping and monitoring of affected individuals.

A systematic review of social connections as determinants of obesity: Longitudinal evidence limited to marital transitions.

Social relationships impact health and may affect proximal determinants such as obesity. Our review examined empirical evidence of the impact of changes in social relationships on risk of obesity in aging adults, with attention to gender. We systematically searched Medline, EMBASE, Scopus, CINAHL, and ProQuest Dissertations and reference lists of relevant reviews and papers published up to November 2022. Longitudinal studies examining changes in marital status, living arrangement, social participation, and social networks and anthropometric changes or incident obesity were deemed eligible. Relevant data were extracted and synthesized narratively. We identified 41,910 eligible titles, resulting in 252 full texts and 7 included studies. All studies were conducted in the United States and assessed marital transitions only; 3 studies included both women and men. Overall, compared with people who remain non-married, entering marriage leads to a significant increase in body mass index (BMI) for both genders. Conversely, transitioning out of marriage through widowhood or divorce leads to a decrease in weight (kg/lbs), waist circumference, and BMI for both genders. All seven studies were deemed to be of medium quality. Our review revealed a paucity of prospective evidence on social connections as determinants of obesity among aging adults. There is limited evidence that marital transitions are associated with changes in anthropometric measurements in aging individuals, but no evidence on the effects of changes in living arrangements, social participation, and social networks on anthropometric measurements. More research attention to the social determinants of obesity is warranted.

MiR-146a rs2910164 (G/C) variant may predict morbid obesity risk in adults

Obesity is a common public health problem associated with serious, life-threatening complications. MicroRNAs (miRs) have modulating roles in the immune and inflammatory systems. Therefore, this study aimed to analyze the relationship between miR-146a and morbid obesity (MO) in a Turkish population. In this study, a total of 258 subjects (110 patients with MO and 148 controls) were genotyped by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method to analyze miR-146a rs2910164. Then, we examined the patients as males and females separately. The results of the analyses were evaluated for statistical significance. There was a significant difference in genotype and allele frequencies of miR-146a rs2910164 between patients with MO and control individuals. miR-146a rs2910164 CC genotype and C allele were shown to increase in the MO patients’ group compared to the control group (p = 0.000, p = 0.000, respectively). Also, the C allele was higher in both female and male patients compared to controls (p = 0.000, p = 0.000, respectively). High differences were also observed when the patients and the controls were compared according to CC versus GG + GC and GG versus GC + CC (p = 0.000, p = 0.000, respectively). A significant difference was found between the female/male patients and the female/male controls in terms of GG + GC versus CC (p = 0.000, p = 0.000, respectively). To the best of our knowledge, this is the first study to investigate the relationship between this variant and MO in Turkey. Our results showed that miR-146a rs2910164 is a valuable biomarker that can be used to distinguish between patients with MO and the healthy population. The findings can be extended by increasing the sample sizes with diverse ethnicities.

Synergistic effects of COVID-19 pandemic and sedentary lifestyles on obesity rates among South Korean adults

Since March 2020, South Korea has implemented social distancing measures to reduce the spread of the coronavirus disease (COVID-19). These policies resulted in significant changes in the lifestyle of Korean adults, including spending more time indoors and experiencing increased sedentary time during the pandemic. This study aimed to investigate the combined influence of sedentary lifestyle and the COVID-19 pandemic on obesity rates among adults residing in South Korea. Data were obtained from the 2018–2020 Korea National Health and Nutrition Examination Survey (KNHANES). Multiple logistic regression was used to analyze the synergistic effects of a sedentary lifestyle and COVID-19 on obesity. The prevalence of sedentary lifestyles among the participants increased from 30.4% pre-COVID-19 to 36.6% during the pandemic. Furthermore, the obesity rates were raised independently by COVID-19 (OR: 1.16, 95% CI 1.04–1.30) and by a sedentary lifestyle (OR = 1.17, 95% CI 1.04–1.31). A synergistic effect of a sedentary lifestyle and COVID-19 on obesity was identified (OR: 1.57, 95% CI 1.30–1.85). COVID-19 and a sedentary lifestyle significantly increased the risk of obesity in South Korean adults. Moreover, the combined synergistic effects of these risk factors were too substantial to be disregarded by merely summing their individual effects on obesity.

Transition of cooking fuels and obesity risk in Chinese adults

BackgroundSince 1990 s, China has witnessed a widespread transition to clean cooking fuels, presenting an opportunity to investigate whether household fuel transition could mitigate obesity risk and reconcile inconsistencies in the literature regarding the association between cooking fuels and obesity. MethodsThe China Health and Nutrition Survey (CHNS) is a prospective cohort study covering 12 provinces of China (1989–2015). Participants were classified into persistent cleaner fuel users, fuel transitioners, and persistent polluting fuel users according to self-reported primary cooking fuels. Obesity and central obesity were defined as BMI ≥ 28.0 kg/m2 and waist circumference ≥ 90 cm in men and ≥ 85 cm in women according to Chinese criteria. FindingsAmong 13,032 participants, 3657 (28.06 %) were persistent cleaner fuel users; 5264 (40.39 %) transitioned from using polluting fuels to cleaner fuels after the baseline survey; and 4111 (31.55 %) were persistent polluting fuel users. During the period of follow-up of 9.0 ± 6.8 years, 1248 (9.58 %) participants were classified into the obesity category, and 4703 (36.09 %) into the central obesity category. Persistent polluting fuel users had a significantly higher risk of developing obesity (hazard ratio [HR]: 1.45, 95 %CI: 1.22–1.72) and central obesity (HR: 1.32, 95 %CI: 1.21–1.44), compared to persistent cleaner fuel users. Persistent polluting fuel use was positively associated with developing obesity in women (HR: 1.64, 95 %CI: 1.30–2.06), but not in men. Subgroup analyses showed higher HR of persistent polluting fuel use among individuals aged 18–44 years (HR: 2.04, 95 %CI: 1.62–2.56). In contrast, the transitioners did not exhibit a significantly different risk of developing obesity (HR: 0.94, 95 %CI: 0.80–1.10) compared to persistent cleaner fuel users, which was consistent across different sex, age and urbanicity. Similar trends were observed for developing central obesity. InterpretationPersistent polluting fuel use increased obesity risk while the obesity risk of the transition to cleaner fuels was similar to persistent use of cleaner fuels. The finding underscores the significance of advocating for the adoption of cleaner fuels as a strategy to mitigate the disease burden associated with obesity.

Short sleep duration is associated with higher risk of central obesity in adults: A systematic review and meta-analysis of prospective cohort studies.

The relationship between sleep duration and obesity has been the focus of numerous investigations. This systematic review and meta-analysis of prospective cohort studies aimed to assess the relationship between sleep duration, abdominal obesity, and body composition. PubMed, Scopus, and Web of Science were searched until February 2024. Cohort studies that assessed the relationship between sleep duration at night and central obesity measures or body composition indices in adults were included. The quality of studies was assessed using the Newcastle-Ottawa scale. Random-effects meta-analysis was conducted on studies that reported risk ratio (RR) and 95% confidence intervals (CIs). Eighteen studies were eligible to be included. Eleven out of the 18 studies were not included in the analysis as 10 studies did not report RR, and in one study, the definition of short and normal sleep duration was different from others. Theresults of the meta-analysis indicated that short sleep duration was significantly associated with abdominal obesity (RR = 1.08; 95% CI: 1.04-1.12;I 2= 49.1%, n=7), but long sleep duration was not (RR = 1.02; 95% CI: 0.83-1.24;I 2= 98.2%, n= 6). Short sleep duration was associated with a slightly higher risk of central obesity, while long sleep duration was not.

Early Life Programming of Adipose Tissue Remodeling and Browning Capacity by Micronutrients and Bioactive Compounds as a Potential Anti-Obesity Strategy.

The early stages of life, especially the period from conception to two years, are crucial for shaping metabolic health and the risk of obesity in adulthood. Adipose tissue (AT) plays a crucial role in regulating energy homeostasis and metabolism, and brown AT (BAT) and the browning of white AT (WAT) are promising targets for combating weight gain. Nutritional factors during prenatal and early postnatal stages can influence the development of AT, affecting the likelihood of obesity later on. This narrative review focuses on the nutritional programming of AT features. Research conducted across various animal models with diverse interventions has provided insights into the effects of specific compounds on AT development and function, influencing the development of crucial structures and neuroendocrine circuits responsible for energy balance. The hormone leptin has been identified as an essential nutrient during lactation for healthy metabolic programming against obesity development in adults. Studies have also highlighted that maternal supplementation with polyunsaturated fatty acids (PUFAs), vitamin A, nicotinamide riboside, and polyphenols during pregnancy and lactation, as well as offspring supplementation with myo-inositol, vitamin A, nicotinamide riboside, and resveratrol during the suckling period, can impact AT features and long-term health outcomes and help understand predisposition to obesity later in life.

Vaporized nicotine in utero results in reduced birthweight, increased locomotion, and decreased voluntary exercise, dependent on sex and diet in offspring.

Rationale Clinical research has shown that prenatal exposure to nicotine may result in increased obesity risk later in life. Preclinical research has corroborated this finding, but few studies have investigated inhaled nicotine or the interaction with diet on obesity risk. Objective The aim of this study was to investigate the effects of prenatal nicotine exposure on both direct and indirect obesity measures, with both sex and diet as factors. Methods Pregnant rats were exposed to either vehicle or nicotine vapor (24mg/mL or 59mg/mL) throughout the entire gestational period. Offspring from each treatment group were given either a normal diet or a high fat diet starting at postnatal day 22. Caloric intake, body weight, spontaneous locomotion, sleep/wake activity, and voluntary exercise were measured throughout adolescence. Pregnancy weight gain and pup birthweights were collected to further measure developmental effects of prenatal nicotine exposure. Results Both maternal weight gain during pregnancy and pup weight at birth were decreased with prenatal nicotine exposure. Early adolescent males showed increased spontaneous activity in the open field following prenatal nicotine exposure compared to vehicle counterparts, particularly those given high-fat diet. Additionally, high dose nicotine prenatal treated males ran significantly less distance on the running wheel in late adolescence compared to vehicle counterparts, in the normal diet group only. Conclusion The results presented here show decreased birthweight, hyperactivity, and decreased voluntary exercise in adolescence following prenatal nicotine exposure in dose, sex, and diet dependent manners, which could lead to increased obesity risk in adulthood.

Exploring Maternal Diet-Epigenetic-Gut Microbiome Crosstalk as an Intervention Strategy to Counter Early Obesity Programming.

Alterations in a mother's metabolism and endocrine system, due to unbalanced nutrition, may increase the risk of both metabolic and non-metabolic disorders in the offspring's childhood and adulthood. The risk of obesity in the offspring can be determined by the interplay between maternal nutrition and lifestyle, intrauterine environment, epigenetic modifications, and early postnatal factors. Several studies have indicated that the fetal bowel begins to colonize before birth and that, during birth and nursing, the gut microbiota continues to change. The mother's gut microbiota is primarily transferred to the fetus through maternal nutrition and the environment. In this way, it is able to impact the establishment of the early fetal and neonatal microbiome, resulting in epigenetic signatures that can possibly predispose the offspring to the development of obesity in later life. However, antioxidants and exercise in the mother have been shown to improve the offspring's metabolism, with improvements in leptin, triglycerides, adiponectin, and insulin resistance, as well as in the fetal birth weight through epigenetic mechanisms. Therefore, in this extensive literature review, we aimed to investigate the relationship between maternal diet, epigenetics, and gut microbiota in order to expand on current knowledge and identify novel potential preventative strategies for lowering the risk of obesity in children and adults.

Obesity risk in young adults from the Jerusalem Perinatal Study (JPS): the contribution of polygenic risk and early life exposure

Background/ObjectivesThe effects of early life exposures on offspring life-course health are well established. This study assessed whether adding early socio-demographic and perinatal variables to a model based on polygenic risk score (PRS) improves prediction of obesity risk.MethodsWe used the Jerusalem Perinatal study (JPS) with data at birth and body mass index (BMI) and waist circumference (WC) measured at age 32. The PRS was constructed using over 2.1M common SNPs identified in genome-wide association study (GWAS) for BMI. Linear and logistic models were applied in a stepwise approach. We first examined the associations between genetic variables and obesity-related phenotypes (e.g., BMI and WC). Secondly, socio-demographic variables were added and finally perinatal exposures, such as maternal pre-pregnancy BMI (mppBMI) and gestational weight gain (GWG) were added to the model. Improvement in prediction of each step was assessed using measures of model discrimination (area under the curve, AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI).ResultsOne standard deviation (SD) change in PRS was associated with a significant increase in BMI (β = 1.40) and WC (β = 2.45). These associations were slightly attenuated (13.7–14.2%) with the addition of early life exposures to the model. Also, higher mppBMI was associated with increased offspring BMI (β = 0.39) and WC (β = 0.79) (p < 0.001). For obesity (BMI ≥ 30) prediction, the addition of early socio-demographic and perinatal exposures to the PRS model significantly increased AUC from 0.69 to 0.73. At an obesity risk threshold of 15%, the addition of early socio-demographic and perinatal exposures to the PRS model provided a significant improvement in reclassification of obesity (NRI, 0.147; 95% CI 0.068–0.225).ConclusionsInclusion of early life exposures, such as mppBMI and maternal smoking, to a model based on PRS improves obesity risk prediction in an Israeli population-sample.

Physical Activity and Obesity Risk in Adults in Colombia: The Prospective Urban Rural Epidemiology (PURE) Study.

This study aimed to investigate longitudinal associations between physical activity levels and obesity in adults in Colombia, where participation in large amounts of light-intensity physical activity is a necessity for many people. Participation in moderate- and vigorous-intensity physical activity was assessed from 2005 to 2009, and obesity was assessed from 2011 to 2019 in men and women from the Prospective Urban Rural Epidemiology (PURE) study. Total physical activity level was categorized as low (<600 MET·min·wk -1 ), medium (600-3000 MET·min·wk -1 ), or high (>3000 MET·min·wk -1 ; 600 MET·min·wk -1 is equivalent to 150 min of moderate activity or 75 min of vigorous activity per week). Obesity was defined as body mass index ≥30 kg·m -2 . Analyses were adjusted for age, sex, smoking, socioeconomic status, diet, alcohol, sedentary time, and sleep. The main analysis included 3086 men and women aged 51 ± 9 yr at baseline (mean ± SD). Compared with the low physical activity group, the odds ratio (95% confidence interval) for obesity was 0.67 (0.53-0.85) in the medium physical activity group and 0.78 (0.62-0.98) in the high physical activity group after adjustment for potential confounders. Smoking is probably a major confounder, and it is noteworthy that similar associations were observed in participants who reported never smoking. The PURE study is the only prospective cohort study in Colombia. The present analysis is important because it suggests that even the busy people of Colombia could substantially reduce their risk of obesity by participating in moderate- and vigorous-intensity physical activity.

Can an active lifestyle reduce the risk of obesity in adulthood among adolescents with Attention-Deficit/Hyperactivity Disorder symptoms? An ambispective cohort study

Various studies have associated Attention-Deficit/Hyperactivity Disorder (ADHD) with obesity, but the role of physical activity in this connection is uncertain. This study examined whether adopting an active lifestyle can mitigate the link between adolescent ADHD and the risk of adult obesity. Longitudinal data from the Add Health Study (Waves I, III, and V) were used. Participants self-reported ADHD symptoms (hyperactivity/impulsivity, inattention, combined) during Wave III and self-assessed their recent moderate-to-vigorous physical activity. An "active lifestyle" required meeting activity criteria in both adolescence (Wave I) and adulthood (Wave III-V). Of 2609 participants, 1.42 % exhibited combined ADHD symptoms. A non-linear relationship was observed between inattentive/hyperactive scores and body mass index (BMI) and waist circumference (WC). Individuals with ≥ 6 hyperactivity/impulsivity symptoms had higher BMI (1.29 kg/m²) and WC (1.27 cm) at adulthood. Logistic regressions indicate that, compared to individuals without ADHD maintaining an active lifestyle, both inactive participants with and without ADHD show an elevated risk of obesity (odds ratio [OR]=1.56 to 2.63) and abdominal obesity in adulthood (OR = 1.51 to 2.50). Mediation analysis models further confirm these findings, suggesting that physical activity may explain this association. Though exact mechanisms warrant further exploration, adopting an active lifestyle offers promise for reducing obesity risk among individuals with ADHD symptoms.

Maintaining an active lifestyle from adolescence to adulthood might alleviate the adverse association of preterm birth with cardiometabolic health

AimsWe aimed to determine whether physical activity attenuates preterm birth's adverse effects on adult cardiometabolic health. MethodsThis retrospective study utilized data from the Add Health Study, a prospective cohort conducted in the United States. During Wave V (mean age: 37 years; 60.7% women; mean body mass index: 29 kg/m2; mean waist circumference: 95 cm), we evaluated cardiometabolic risk factors and preterm birth status (i.e., born <37 weeks). Self-reported physical activity data was collected through questionnaires during Waves I (ages 12–19) and Wave V. An "active lifestyle" was defined by adherence to recommendations during both waves, spanning from adolescence to adulthood. ResultsThe sample, comprising 3320 individuals, with 9.5% being preterm, included 7.6% who remained physically active throughout both adolescence and adulthood. Preterm-born individuals who were inactive had higher rates of obesity (incidence rate ratio [IRR] = 1.39, 95% confidence interval (CI) 1.05–1.84), abdominal obesity (IRR = 1.46, 95% CI 1.11–1.92), hyperlipidemia (IRR 3.50, 95% CI 1.94–4.29), type 2 diabetes (IRR = 2.37, 95% CI 1.12–5.01), and metabolic syndrome (IRR = 2.61, 95% CI 1.17–5.80) compared to active term-born individuals. Maintaining an active lifestyle appeared to decrease the risk of obesity and hyperlipidemia in adults born preterm (p > 0.05). ConclusionsWhile preterm birth is associated with an elevated risk of adult cardiometabolic risk, maintaining an active lifestyle appeared to slightly mitigate the risk of obesity and hyperlipidemia in adults born preterm.

Pediatricians’ Interventions Aimed to Reduce Overweight and Obesity in Children and Adolescents in Primary Healthcare in Poland. A Cross-sectional Study

Abstract Background Overweight and obesity in children and adolescents are associated with serious health problems and a higher risk of obesity in adults. Objectives This study aimed to determine how often pediatricians identify the condition of overweight and obesity in children and adolescents based on anthropometric measurements. The researchers also wanted to obtain information on counseling provided by pediatricians regarding diet and physical activity in patients. Material and methods In 2022, an observational, cross-sectional study was conducted with the participation of 55 pediatricians working in primary health care sector in the city of Lodz. An anonymous questionnaire consisted of sections regarding the characteristics of the treated patient population, barriers and improvements in the process of patient assessment, control, and management, as well as the health status and health behaviors of pediatricians. Results About 90.9% of the pediatricians declared that they measured body weight on a scale. Similarly, 89.1% of them measured body height. Among the surveyed doctors, 67.3% calculated waist circumference or the ratio of waist-to-hip ratio. All the pediatricians provided advice on diet/eating habits and physical activity to both healthy and overweight/obese patients. In most cases, the study participants indicated that this counseling was provided „often” (83.6%). Only every tenth pediatrician provided detailed dietary advice and every sixth detailed advice on physical activity at each patient visit. A higher chance of providing dietary advice to children and adolescents was observed among pediatricians providing ≤ 100 patient visits during a routine work week (OR = 5.13; p &lt; 0.05). Normal BMI (OR = 12.35; p &lt; 0.05) and having ≤ 100 patient visits per week during a routine work week (OR = 8.28; p &lt; 0.05) were significant correlates of physical activity advice. Conclusions Pediatricians should perform accurate anthropometric measurements to prevent obesity in children and adolescents. During each patient visit, the pediatrician should give advice on diet and physical activity.

Association of Dietary Carotenoids Intakes with Obesity in Adults: NHANES 2007-2018.

Previous studies on the relationship between dietary carotenoids and obesity are few, and the results are inconsistent. Therefore, the purpose of this study was to evaluate the associations between total carotenoids, α-carotene, β-carotene, β-cryptoxanthin, lycopene, and lutein+zeaxanthin intakes and the risk of obesity in adults. This cross-sectional study was carried out based on the National Health and Nutrition Examination Survey (NHANES) 2007-2018. The two 24-h dietary recall interviews were used to collect dietary carotenoids data. Obesity was defined as body mass index (BMI) ≥30 kg/m2. Logistic regression models and restricted cubic spline were used to assess the relationships between carotenoids intakes and obesity. A total of 25,868 adults aged 20 and over were enrolled in the present study. In multivariate logistic regression model 2, the odds ratios (ORs) with 95% confidence intervals (CIs) of obesity were 0.82 (0.74-0.91), 0.80 (0.72-0.90), 0.77 (0.69-0.87), 0.85 (0.76-0.95), and 0.80 (0.73-0.89) for the highest versus the lowest of total carotenoids, α-carotene, β-carotene, β-cryptoxanthin, and lutein+zeaxanthin intakes, respectively. Dose-response analyses suggested that the carotenoids mentioned above were inversely related to obesity in a nonlinear manner. In multivariate-adjusted model 2, total carotenoids intake were associated with lower risk of Class 1, 2, and 3 obesity. This study indicated that intakes of total carotenoids, α-carotene, β-carotene, β-cryptoxanthin, and lutein+zeaxanthin were inversely associated with the risk of obesity.

Child-to-adult body size change and risk of type 2 diabetes and cardiovascular disease.

Childhood overweight increases the risk of type 2 diabetes and cardiovascular disease in adulthood. However, the impact of childhood leanness on adult obesity and disease risk has been overlooked. We examined the independent and combined influences of child and adult body size on the risk of type 2 diabetes and cardiovascular disease. Data from the UK Biobank on 364,695 individuals of European ancestry and free of type 2 diabetes and cardiovascular disease were divided into nine categories based on their self-reported body size at age 10 and measured BMI in adulthood. After a median follow-up of 12.8 years, 33,460 individuals had developed type 2 diabetes and/or cardiovascular disease. We used Cox regression models to assess the associations of body size categories with disease incidence. Individuals with low body size in childhood and high body size in adulthood had the highest risk of type 2 diabetes (HR 4.73; 95% CI 4.50, 4.99), compared to those with average body size in both childhood and adulthood. This was significantly higher than the risk in those with high body size in both childhood and adulthood (HR 4.05; 95% CI 3.84, 4.26). By contrast, cardiovascular disease risk was determined by adult body size, irrespective of childhood body size. Low body size in childhood exacerbates the risk of type 2 diabetes associated with adult obesity but not the risk of cardiovascular disease. Thus, promoting healthy weight management from childhood to adulthood, among lean children, is crucial.

Childhood circumstances, social mobility and the obesity transition: Evidence from South Africa

The distribution of obesity tends to shift from rich to poor individuals as countries develop, in a process of shifting sociodemographic patterns of obesity that has been called the ‘obesity transition’. This change tends to happen with economic development, but little is known about the specific mechanisms that drive the change. We propose that improvements in childhood circumstances with economic development may be one of the drivers of the obesity transition. We explore whether the social gradient in body weight differs by childhood socioeconomic status (SES), proxied by the respondent’s mother having Grade 12, using South Africa’s nationally representative panel National Income Dynamics Study. In support of our hypothesis, we find that the social gradient in body weight is less positive for adults who had a high childhood SES, and already appears to have reversed among high-SES women who also had a high childhood SES. Upward social mobility over an individual’s life course or across a single generation is associated with higher body weight compared to a stable high SES. But a high SES sustained in childhood and adulthood – or across more than one generation – may decrease adult obesity risk, and result in a reversal of the social gradient in body weight. Random effects within-between models show that the social gradient in body weight and its interaction with childhood SES are driven more by differences in income between individuals than by short-run changes in income within individuals, again suggesting that the obesity transition is driven by long-run changes rather than by very short-run changes. Our results are broadly robust to using several alternative measures of body weight, childhood SES and adult SES. Our results are consistent with the hypothesis that widespread improvements in childhood circumstances and nutrition with economic development may contribute to the shift to later stages of the obesity transition.

Metabolic control of puberty: 60 years in the footsteps of Kennedy and Mitra's seminal work.

An individual's nutritional status has a powerful effect on sexual maturation. Puberty onset is delayed in response to chronic energy insufficiency and is advanced under energy abundance. The consequences of altered pubertal timing for human health are profound. Late puberty increases the chances of cardiometabolic, musculoskeletal and neurocognitive disorders, whereas early puberty is associated with increased risks of adult obesity, type 2 diabetes mellitus, cardiovascular diseases and various cancers, such as breast, endometrial and prostate cancer. Kennedy and Mitra's trailblazing studies, published in 1963 and using experimental models, were the first to demonstrate that nutrition is a key factor in puberty onset. Building on this work, the field has advanced substantially in the past decade, which is largely due to the impressive development of molecular tools for experimentation and population genetics. In this Review, we discuss the latest advances in basic and translational sciences underlying the nutritional and metabolic control of pubertal development, with a focus on perspectives and future directions.

Time for bed: diet, sleep and obesity in children and adults.

Sufficient sleep is necessary for optimal health, daytime performance and wellbeing and the amount required is age-dependent and decreases across the lifespan. Sleep duration is usually affected by age and several different cultural, social, psychological, behavioural, pathophysiological and environmental factors. This review considers how much sleep children and adults need, why this is important, what the consequences are of insufficient sleep and how we can improve sleep. A lack of the recommended amount of sleep for a given age group has been shown to be associated with detrimental effects on health including effects on metabolism, endocrine function, immune function and haemostatic pathways. Obesity has increased worldwide in the last few decades and the WHO has now declared it a global epidemic. A lack of sleep is associated with an increased risk of obesity in children and adults, which may lead to future poor health outcomes. Data from studies in both children and adults suggest that the relationship between sleep and obesity may be mediated by several different mechanisms including alterations in appetite and satiety, sleep timing, circadian rhythm and energy balance. Moreover, there is evidence to suggest that improvements in sleep, in both children and adults, can be beneficial for weight management and diet and certain foods might be important to promote sleep. In conclusion this review demonstrates that there is a wide body of evidence to suggest that sleep and obesity are causally related and recommends that further research is required to inform policy, and societal change.

Predicting risk of obesity in overweight adults using interpretable machine learning algorithms.

To screen for predictive obesity factors in overweight populations using an optimal and interpretable machine learning algorithm. This cross-sectional study was conducted between June 2011 and January 2012. The participants were randomly selected using a simple random sampling technique. Seven commonly used machine learning methods were employed to construct obesity risk prediction models. A total of 5,236 Chinese participants from Ningde City, Fujian Province, Southeast China, participated in this study. The best model was selected through appropriate verification and validation and suitably explained. Subsequently, a minimal set of significant predictors was identified. The Shapley additive explanation force plot was used to illustrate the model at the individual level. Machine learning models for predicting obesity have demonstrated strong performance, with CatBoost emerging as the most effective in both model validity and net clinical benefit. Specifically, the CatBoost algorithm yielded the highest scores, registering 0.91 in the training set and an impressive 0.83 in the test set. This was further corroborated by the area under the curve (AUC) metrics, where CatBoost achieved 0.95 for the training set and 0.87 for the test set. In a rigorous five-fold cross-validation, the AUC for the CatBoost model ranged between 0.84 and 0.91, with an average AUC of ROC at 0.87 ± 0.022. Key predictors identified within these models included waist circumference, hip circumference, female gender, and systolic blood pressure. CatBoost may be the best machine learning method for prediction. Combining Shapley's additive explanation and machine learning methods can be effective in identifying disease risk factors for prevention and control.