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This study investigated the association between the food environment, along with other factors, and healthy diet in Thailand.
Design:
A cross-sectional national survey in Thailand (August 2022 and November 2023) used face-to-face interviews to collect socio-demographic and economic characteristics, food environment and diet data. The modified Thailand Healthy Eating Index (MTHEI) was used to measure adherence to a recommended diet of the study participants. Descriptive and multiple regression analyses were performed on the data set.
Setting:
Thailand.
Participants:
10 763 adults.
Results:
The average MTHEI score among participants was 61·7 out of 100, indicating a diet that needs improvement. People age 60 years and over (B = 13·430; p < 0·001), female (B = 1·344; p < 0·001), secondary-school education (B = –0·916; p0·002) and high income (B = –1·132; p < 0·001) were associated with higher MTHEI scores, when compared with their respective reference groups. People with perceived nearby access to both traditional retail and modern trade retail scored 2·1 points (p = 0·017) lower than those without such retail nearby. Whenever modern trade is present, the diet score is observed to be lower. Those with perceived nearby access to both fresh/wet market and modern trade retail scored 1·0 points lower (p = 0·044).
Conclusions:
The findings suggest the need for government intervention to address the perceived influence of the food retail environment in residential areas particularly modern trade retail, promote fresh markets and home gardening to encourage healthy consumption of food and beverages. The government should also dedicate support for vulnerable populations, while simultaneously advancing food literacy programs.
Thousands of studies in nutritional epidemiology and nutritional psychiatry have explored the connections between diet and mood on the one hand and diet and psychiatric conditions on the other. The connection between diet, obesity, low-grade systemic inflammation, and mental health disorders is well established. A burgeoning literature has also connected gut microbiome with well-being and mental health. This chapter provides an overview of the role of gut microbes in depression and bipolar disorder, and how different nutrients and diets affect the microbiome, low-grade systemic inflammation, and the risk of developing depression and bipolar disorder. Populations with contemporary western lifestyles tend to have high rates of obesity, and obesity is a well-known risk factor for depression and bipolar disorder. This connection provides further evidence for the mismatch hypothesis of depression and bipolar disorder, given the evolutionary novelty of contemporary western lifestyles, the obesity epidemic, and the mental health epidemic – and the proximate mechanisms that interlink them. Because diet affects the proximate mechanisms underlying depression and bipolar disorder – such as low-grade systemic inflammation, visceral fat tissue, sleep, and stress sensitivity – the role of nutrition is likely to represent a foundational strategy for preventing and treating depression and bipolar disorder in the future.
Maternal obesity is associated with several disorders, and its neonatal impacts include macrosomia. Botryosphaeran, a (1→3)(1→6)-β-D-glucan, produced by the fungus Botryosphaeria rhodina exhibits antiobesogenic effects in rats. The objective of this work was to evaluate, for the first time, the effects of botryosphaeran on obese and non-obese rats during the pregnancy period and its effects on offspring. Female Wistar rats (n = 18) were separated into two groups: control, which received commercial ration and water; and obese, that received high-fat ration and water with sucrose (300 g/liter), for 8 weeks. In the 8th week, the rats were divided in the proportion of two rats to one breeding male. After confirmation of pregnancy, the females were subdivided into 4 groups: Pregnancy Control, Botryosphaeran Pregnancy Control, Pregnancy Obese, and Botryosphaeran Pregnancy Obese. In the last 2-thirds of gestation, rats of the botryosphaeran group received the -glucan solution (12 mg/kg/day, via gavage), the control and obese rats received saline solution. At the end of the experiment, the mothers and their offspring were evaluated. Obese mothers had fat accumulation, glucose intolerance, insulin resistance, and dyslipidemia. Botryosphaeran significantly reduced blood glucose, corrected insulin resistance and dyslipidemia. The female and male offspring of the obese group showed higher weight gain, adipose tissue accumulation, soleus muscle reduction, hyperglycemia, insulin resistance, and dyslipidemia. Botryosphaeran was effective in correcting these parameters. In conclusion, botryosphaeran exerts significant and promising effects, including antiobesogenic, hypocholesterolemic, and insulin sensitizing action in mothers and their offspring, demonstrating botryosphaeran as a potential agent to prevent obesity and its comorbidities.
This cohort study aims to explore weight gain and stunting in the Syracuse, NY paediatric refugee population.
Design:
Demographics, height and weight were collected through chart review and electronic abstraction in 2019–2020 for N 941. BMI was calculated using Centers for Disease Control and Prevention software and metrics; obesity was defined as a BMI ≥ 95th percentile while overweight was a BMI percentile ≥85th but <95th percentile. Stunting was based on the WHO’s definition of a height-for-age Z score <−2·0. Differences in BMI percentiles were assessed using chi-square tests, t-tests or one-way ANOVA while BMI change over time was analysed using linear mixed modelling.
Setting:
Pediatric International Health Clinic at an academic medical centre from 2012 to 2017.
Participants:
Paediatric refugees.
Results:
The cohort was 49 % female with a mean age (sd) upon arrival of 8·9 (4·7) years. Sixty-one percent of refugees were from Africa, with 33 % from the Middle East. Stunting was observed in 9·7 % of participants upon arrival and varied significantly by region of origin. Obesity was observed in 24 % of refugees after living in the US for 5 or more years while the frequency of overweight at 5 plus years was 19·4 %. In linear mixed modelling, stunting, region of origin and duration of residence in the US were found to be significant predictors of BMI change over time.
Conclusions:
Results support implementing targeted obesity prevention interventions in the Pediatric International Health Clinic refugee population and highlight additional risk for those arriving with stunting.
Carotenoids, a diverse family of isoprenoid pigments obtained exclusively through dietary sources, have emerged as promising modulators of metabolic health through their antioxidant properties and regulation of key signalling pathways. Both provitamin A carotenoids (β-carotene, α-carotene and β-cryptoxanthin) and non-provitamin A carotenoids (lutein, zeaxanthin and lycopene) enhance insulin sensitivity, reduce oxidative stress and regulate adipogenesis through activation of adenosine monophosphate-activated protein kinase and nuclear factor erythroid 2-related factor 2 pathways while suppressing NF-κB-mediated inflammation. Despite promising preclinical and clinical evidence, the complexities of carotenoid metabolism, especially their bioavailability in metabolic diseases, remain inadequately understood. Brassicaceae microgreens, particularly broccoli sprouts, have emerged as promising functional foods for diabetes and obesity management. Given their high carotenoid content (162–224 mg β-carotene equivalents per 100 g dry weight) and enriched in other bioactive compound, this review synthesizes current evidence on carotenoid metabolism and bioavailability in relation to T2DM and obesity. It further emphasises mechanistic insights and the highlights therapeutic potential of Brassicaceae microgreens as accessible dietary strategies for metabolic health disparities.
Bipolar disorders (BD) are associated with a wide range of brain white matter abnormalities, but results vary across studies. This heterogeneity likely relates to effects of additional clinical/diagnostic variables, including medications and obesity, on white matter in BD. In this mega-analysis, we studied the links between relevant clinical variables and four diffusivity measures.
Methods
We obtained diffusion tensor imaging-derived fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, RD) values from 910 individuals with BD and 1256 healthy controls across 16 research sites in the ENIGMA-BD Working Group. We used principal component analysis to detect patterns of covariance across white matter tracts and studied associations between multivariate patterns of white matter alterations and demographic and clinical variables, including body mass index (BMI), medications, and diagnostic information, using mixed regression models.
Results
Higher BMI was associated with lower PC1 FA and higher PC1 RD; BD was associated with higher PC1 MD, while treatment with antiepileptic medications was associated with lower PC1 FA, higher PC1 MD, and PC1 RD.
Conclusions
We found FA and MD are weakly associated, providing complementary information, and there are unique associations between specific diffusivity measures and clinical predictors. Treatment with antiepileptics may inflate the statistical effects of BD on white matter. By using all diffusivity measures and accounting for additional clinical factors, we can gain new insights into brain correlates of severe mental illness.
This study aimed to assess the associations of dietary medium-chain fatty acid (MCFA) intakes with obesity-related outcomes in children and adolescents. Records of children and adolescents in this cross-sectional study were extracted between 2007 and 2023. Weighted univariate and multivariable Logistic models were used to evaluate the relationship of MCFA (total, C8:0, C10:0 and C12:0) with overweight/obesity, obesity and central obesity, with OR and 95 % CI. The associations were further explored by subgroups (age and sex). To adjust for total energy intake, the exposure variables for sensitivity analyses were expressed as energy density. Among the 11 482 included participants, 4713 had overweight/obesity, 2710 had obesity and 2474 had central obesity. High intakes of total MCFA were associated with lower odds of overweight/obesity (OR = 0·71, 95 % CI: 0·60–0·85), obesity (OR = 0·64, 95 % CI: 0·50–0·82) and central obesity (OR = 0·70, 95 % CI: 0·54–0·92). A similar relationship was observed for C8:0, with the inverse association found for obesity-related outcomes (overweight/obesity, OR = 0·69, 95 % CI: 0·57–0·84; obesity, OR = 0·60, 95 % CI: 0·48–0·76; central obesity, OR = 0·68, 95 % CI: 0·52–0·87). Significant protective associations were also consistently present for C10:0 and C12:0. Subgroup analyses showed generally similar inverse associations across age and sex groups, although interactions with age were observed for selected MCFA components and outcomes. In conclusion, higher MCFA intakes were associated with lower odds of overweight/obesity, obesity and central obesity. Future prospective cohort studies are needed to confirm these associations.
Dynapenic abdominal obesity (DAO), characterised by the combination of low muscle strength and abdominal fat accumulation, is an emerging health risk phenotype. Its association with incident stroke remains inadequately explored. This prospective cohort study investigated the relationship between DAO and new-onset stroke in middle-aged and older adults. We analysed data from the China Health and Retirement Longitudinal Study (CHARLS, n 10 153) and used the English Longitudinal Study of Ageing (ELSA, n 5421) for external validation, over a seven-year follow-up. Participants were categorised into four groups: no dynapenia or abdominal obesity (ND/NAO), isolated abdominal obesity, isolated dynapenia and DAO. After adjusting for socio-demographic, lifestyle and comorbidity factors, multivariable logistic regression revealed that DAO was significantly associated with a higher risk of stroke in both CHARLS (OR = 1·96, 95 % CI: 1·37–2·76, P < 0·001) and ELSA (OR = 2·38, 95 % CI: 1·11–5·10, P = 0·025) compared with the ND/NAO group. The risk conferred by DAO exceeded that of either condition in isolation. Stratified analysis suggested a potentially stronger association in urban Chinese men; however, effect modification was not statistically significant. We conclude that DAO is a significant, independent risk factor for stroke in both populations, with combined effects exceeding isolated conditions. This phenotype represents a practical, cross-population marker for clinicians and nutritionists to identify individuals at elevated stroke risk warranting targeted intervention, with potentially important implications for urban Chinese men.
This 12-wk randomised trial evaluated weight loss, body composition changes and metabolic responses to a time-restricted eating with energy restriction (TRE + ER) diet in adults with severe obesity. One hundred participants (20–60 years; BMI > 40 kg/m2) were randomised to TRE + ER (n 50; eating window 10 am–6 pm) or continuous energy restriction (CER, n 50). Diets provided 60 % of total energy expenditure. Body composition, by DXA, and RMR, by indirect calorimetry, were assessed at baseline and after 1, 5, 9 and 12 wk. Subjective appetite ratings and biochemical markers were also determined. After 12 wk, both groups experienced reductions in body weight, fat mass (FM) and visceral adipose tissue (VAT), with no significant change in fat-free mass. Compared with CER, TRE + ER produced similar reductions in weight (−4·3 ± 0·4 kg v. −3·8 ± 0·4 kg; P = 0·46) and VAT (−270 ± 4 g v. −188 ± 4 g; P = 0·24), but greater FM loss (−3·5 ± 0·3 kg v. −2·4 ± 0·3 kg; P = 0·040). TRE + ER showed a greater decline in RMR (P = 0·032) and a trend towards greater adaptive thermogenesis (P = 0·061). Our findings suggest that combining ER with the TRE strategy does not enhance weight loss, despite the modestly greater FM loss after 12 wk. The greater decline in RMR and the greater increase in adaptive thermogenesis suggest limited long-term benefit of the TRE strategy in individuals with severe obesity. Registered at REBEC (RBR-45fpgqh – https://ensaiosclinicos.gov.br/rg/RBR-45fpgqh).
Obesity-related heart failure with preserved ejection fraction is characterised by symptom burden, impaired mobility, and reduced health status. Direct comparative evidence between incretin-based therapies and sodium-glucose cotransporter 2 inhibitors is lacking.
Methods:
We conducted a PRISMA-guided systematic review and programme-level meta-analysis, using the independent parent randomised trial programme as the unit of analysis to avoid double-counting linked reports. The primary endpoint was the Kansas City Cardiomyopathy Questionnaire Clinical Summary Score, and the secondary endpoint was the six-minute walk distance. Random-effects models used restricted maximum likelihood estimation with Knapp-Hartung inference.
Results:
Six parent programmes were included: STEP-heart failure with preserved ejection fraction, STEP-heart failure with preserved ejection fraction DM, SUMMIT, PRESERVED-HF, EMPEROR-Preserved, and DELIVER. In obesity-focused incretin programmes, pooled mean differences were 7.38 Kansas City Cardiomyopathy Questionnaire Clinical Summary Score points (95% confidence interval, 6.29 to 8.48; I2 = 0.00%) and 17.60 m for six-minute walk distance (95% confidence interval, 10.69 to 24.52; I2 = 0.00%). The secondary sodium-glucose cotransporter 2 Kansas City Cardiomyopathy Questionnaire Clinical Summary Score synthesis showed a pooled mean difference of 2.53 points (95% confidence interval, −1.97 to 7.03; I2 = 82.21%). No parent programme was judged to be at high risk of bias.
Conclusions:
Incretin-based therapies showed consistent patient-centred improvements in obesity-related heart failure with preserved ejection fraction, whereas sodium-glucose cotransporter 2 inhibitor evidence was derived from broader heart failure with mildly reduced ejection fraction/heart failure with preserved ejection fraction populations and was more heterogeneous. Cross-class comparisons remain exploratory because of population differences, follow-up differences, limited six-minute walk distance availability, and the absence of direct comparative trials; these findings do not establish class superiority.
Time-restricted eating (TRE) and high-intensity interval training (HIIT) are promising strategies for improving cardiometabolic health in women with overweight or obesity, but whether they interact synergistically remains unclear. We evaluated their independent and combined effects on cardiometabolic outcomes. This prespecified secondary analysis of a 2 × 2 factorial randomised controlled trial assigned 131 women with overweight or obesity (median BMI 30·7 kg/m2; age 18–45 years) to TRE, HIIT, TRE + HIIT or control for 7 weeks. TRE limited daily intake to a ≤10-hour eating window; HIIT comprised three supervised treadmill sessions weekly. The primary analysis followed the intention-to-treat principle after multiple imputation; linear mixed-effects models estimated TRE and HIIT main effects and their interaction, with Holm–Bonferroni-adjusted interaction p-values; per-protocol sensitivity analyses excluded dropouts. No significant TRE × HIIT interaction was detected. In intention-to-treat main-effect analyses, TRE reduced body weight (–3·36 kg, p = 0·008), fat mass (–1·53 kg, p = 0·025) and visceral fat area (–12·82 cm2, p < 0·001), but also reduced muscle mass (–0·80 kg, p = 0·020) and modestly lowered HDL-C. HIIT main effects were minimal in the intention-to-treat analysis, while per-protocol sensitivity analyses suggested reductions in BMI, fat mass, total cholesterol, LDL-C and HbA1c, although these findings are more susceptible to attrition bias. Within the constraints of limited power and short duration, no interaction between TRE and HIIT was detected. TRE-related adiposity benefits should therefore be weighed against concurrent reductions in muscle mass and changes in lipid profiles. Larger, adequately powered, longer-term trials are needed to confirm these findings and clarify their clinical relevance.
Although a relationship between body fat and mental health problems has been established, sex-based differences in this association remain insufficiently understood.
Aims
To investigate the association of whole-body and regional fat mass indices with anxiety symptoms in men and women.
Method
A nationwide sample of 3856 men and 5010 women was analysed. Fat mass of the whole body, trunk, arm and leg was measured using a bioelectrical impedance analyser, and fat mass indices (kg/m2) were derived by dividing fat mass by height squared. Symptoms of anxiety were determined using the Generalized Anxiety Disorder-7. Logistic regressions were used to investigate the association of each fat mass index with anxiety symptoms. Sex-stratified analyses were conducted to assess sex-related differences.
Results
The prevalence of anxiety symptoms was 3.3% among men and 5.5% among women. Among female participants, a one-standard deviation increase in whole-body, trunk, arm or leg fat mass index was associated with 1.20-fold (95% CI: 1.04–1.39), 1.21-fold (95% CI: 1.04–1.41), 1.19-fold (95% CI: 1.04–1.35) and 1.19-fold (95% CI: 1.03–1.38) increases in odds of anxiety symptoms, respectively. By contrast, no clear association was observed between fat mass indices and anxiety symptoms in men.
Conclusions
Our analysis demonstrated sex differences in the relationship between body fat and anxiety, with high whole-body and regional fat mass indices positively associated with anxiety symptoms in women.
Positive attitudes toward healthy nutrition and food literacy have been associated with healthy eating habits in previous research. However, evidence regarding the relationships among food literacy, attitudes toward healthy nutrition, and BMI among school teachers remains limited. This study examined the associations among self-perceived food literacy, attitudes toward healthy nutrition, and BMI among school teachers. This cross-sectional study was conducted with 294 primary, secondary, and high school teachers. An online questionnaire including demographic characteristics, eating habits, anthropometric measurements, the Self-Perceived Food Literacy Scale (SPFLS), and the Attitude Scale for Healthy Nutrition (ASHN) was used to collect data. A total of 294 school teachers aged 20–59 years completed the study, of whom 73.5% were female. Obese participants had lower food literacy (p < 0.001) and healthy nutrition attitude scores (p < 0.05) than normal-weight participants. Food literacy and attitudes toward healthy nutrition were positively correlated with age and years of experience, and negatively correlated with BMI (p < 0.05). Multiple linear regression analysis indicated that attitudes toward healthy nutrition and BMI were associated with self-perceived food literacy (R2adj= 0.501, p < 0.001). These findings contribute to the limited evidence regarding the relationships among food literacy, attitudes toward healthy nutrition, and BMI among school teachers.
We examined the effects of price interventions on the healthiness of a hypothetical food order in a simulated online out-of-home food delivery app.
Design:
The design was a randomised controlled trial, with four conditions (10 % taxation of less healthy menu items; 10 % subsidy of healthier menu items; a combination of taxation and subsidy; standard pricing), and recruitment was stratified by socioeconomic position (SEP). Primary outcomes were healthier v. less healthy main meal selected and total kilocalories (kcals) selected.
Setting:
Participants selected a hypothetical evening meal from out-of-home food outlets on a simulated online food delivery app.
Participants:
N 3106 adult participants from the UK were randomised into taxation (n 750), subsidies (n 808), a combination of taxation and subsidies (n 769), and standard pricing (n 779). 57–58 % of participants were of higher SEP.
Results:
There were no statistically significant effects of the pricing interventions on whether a healthy v. less healthy main meal was selected (e.g. taxation v. control OR 0·91 (95 % CI 0·74, 1·12); subsidies v. control OR 1·08 (95 % CI 0·89, 1·31)) or on total kcals selected (e.g. taxation v. control regression coefficient −44·31 (95 % CI −95·90, 7·28); subsidies v. control regression coefficient −7·94 (95 % CI −60·23, 44·35)). There was no evidence that effects differed by SEP.
Conclusions:
We found no convincing evidence that 10 % changes in price of healthy and less healthy food in a simulated out-of-home food delivery app significantly impacted on healthiness of food selected. Further research may benefit from examining effects of larger price changes and in real-world purchasing conditions.
This chapter examines how Covid-19’s devastating effects on Black people’s health and mortality reflected their overexposure to risk based on socioeconomic inequality, a disproportionate incidence of “underlying health conditions” and a distinct lack of trust in American healthcare. The combination shortens Black lives at all times. Racial reckoning after Covid demands asking why Black people suffer so many racial health disparities in the first place. This critical public health question leads to discoveries about the social determinants of health and the experience of pervasive implicit bias among healthcare professionals. All the underlying conditions associated with dying from Covid are exacerbated by environment and treatment dynamics that weaken trust, produce toxic psychological stresses and, unless reckoned with, put Blacks at heightened risk of the next pandemic.
n-3 PUFA, DHA and EPA possess anti-inflammatory properties, yet their association with obesity-depression comorbidity remains unclear. This study investigated the association among USA adults and explored underlying mechanisms. We performed a cross-sectional analysis of 4,423 adults participating in the National Health and Nutrition Examination Survey 2003–2004 and 2011–2014. Serum fatty acids were quantified by gas chromatography. Obesity was defined using anthropometric criteria, and depression was assessed using the Patient Health Questionnaire-9 or antidepressant use. Multivariable logistic regression estimated odds ratio (OR) per sd increase in PUFA levels. Mechanistic explore through network pharmacology identified potential pathways, which were examined using correlation analyses with inflammatory indices. Higher n-3 PUFA levels were associated with lower odds of central obesity comorbid depression in females (OR: 0·82, 95 % CI: 0·69–0·96) and older adults (OR: 0·79, 95 % CI: 0·64–0·97). DHA was significantly associated with lower odds of central obesity (OR: 0·83, 95 % CI: 0·73–0·95), depressive symptoms (OR: 0·88, 95 % CI: 0·77–1·00) and their comorbidity (OR: 0·85, 95 % CI: 0·74–0·98), whereas no significant associations were found for EPA. Mechanistic exploration implicated DHA in TNF and IL-17 signalling pathways, supported by inverse correlations with monocyte:HDL ratio (r: −0·138, P < 0·001) and lymphocyte:HDL ratio (r: −0·108, P < 0·001). In conclusion, serum DHA is inversely associated with obesity-depression comorbidity, with potential involvement of anti-inflammatory pathways. These findings underscore the potential of DHA for the management of obesity comorbid depression and the need for further interventional trials.
The aim of this study was to provide robust evidence on the long-term use of non-nutritive sweetened (NNS) beverages on weight management, by comparing NNS beverages and water during 1 year of assisted weight management followed by a voluntary, unassisted 1-year extension. In this parallel-group, open-label, controlled equivalence trial, 493 adults with BMI 27–35 kg/m2 who regularly consumed cold beverages were randomised 1:1 to water (n 246) or NNS beverages (n 247). Participants joined a group behavioural weight-management programme comprising assisted meetings weekly (12-week weight-loss phase) then monthly (40-week weight-maintenance phase), followed by unassisted monitoring for 52 weeks with a final meeting at week 104. The final 52-week unassisted phase was completed by 220 participants (water: n 117; NNS beverages: n 103), 27·7 % of whom were NNS beverage-naïve (naïve was defined as NNS beverages comprising ≤ 25 % of beverages in the 5 years before screening). In the unassisted monitoring phase, the primary endpoint was weight change from baseline at week 104 (equivalence: two-sided P > 0·05). Participants consuming water maintained a weight loss of 3·7 kg over 104 weeks, compared with 4·8 kg with NNS beverages; the between-group difference was not significant. After the final 52-week unassisted phase of the 104-week behavioural weight-management programme, water and NNS beverages showed equivalence regarding weight change from baseline. Our findings suggest people can lose weight and maintain it for 2 years, when drinking either NNS beverages or water and taking part in weight-management programmes.
This trial is registered with ClinicalTrials.gov: NCT02591134.
This study aimed to determine the effects of being overweight and obese on central and peripheral olfactory pathways using magnetic resonance imaging.
Methods
The cranial magnetic resonance images of 40 overweight (Group 2) and 40 obese patients (Group 3), and 40 healthy adults with a normal body mass index (Group 1, control) were included in the study. In both groups, olfactory bulb volume and olfactory sulcus depth, and insular gyrus and corpus amygdala areas were measured.
Results
In overweight and obese patients, olfactory bulb volumes decreased (padjusted < 0.0175). Insular gyrus and corpus amygdala areas also decreased in obese patients (padjusted < 0.0175). As body mass indices increased, olfactory bulb volumes, olfactory sulcus depths, insular gyrus areas and corpus amygdala areas decreased bilaterally.
Conclusion
Higher body mass index values were related to a decrease in the measurements of peripheral and central olfactory regions. We also recommend taking into account the effects of obesity on the olfactory system in weight control and the fight against obesity.
This study aimed to investigate the association between the amount and source of dietary protein and the prevalence of sarcopenic obesity.
Design:
A prospective study using data from the European Prospective Investigation of Cancer (EPIC)-Norfolk cohort study.
Setting:
General population-based study conducted in the United Kingdom.
Participants:
About 14 816 community dwelling men and women aged 39–79 years.
Results:
The prevalence of sarcopenic obesity was 8·9 % in men and 11·9 % in women. Median dietary intake of total, animal and plant protein intake, based on fat free mass standardised for BMI to assess sarcopenia, was significantly lower in those with sarcopenic obesity compared with those without sarcopenia and obesity (0·80 v. 1·04, 0·51 v. 0·66, and 0·25 v. 0·35 g/kg body weight/d, respectively, all P < 0·001). Higher intakes of protein, either total, animal or plant-based (in g/kg body weight/d), were associated with a significantly lower likelihood of sarcopenic obesity (OR 0·14 (95 % CI: 0·08, 0·20), 0·58 (0·53, 0·62) and 0·46 (0·41, 0·52), respectively, P < 0·001 for all). The prevalence of both sarcopenic obesity and obesity was significantly (P < 0·001) higher in those with lowest compared with those in the highest intake quartiles of total- animal- and plant protein, but the prevalence of sarcopenia did not appear to depend on protein intake.
Conclusions:
Our findings indicate that consumption of total, animal- and plant-based protein is important for both the prevention of sarcopenic obesity and obesity during ageing, especially in women, smokers or those living with comorbidities such as diabetes and bronchitis.
Obesity is a well-established risk factor for major depressive disorder (MDD), yet the risk is not uniform, highlighting the need for precise risk stratification. This study aimed to develop a metabolomics-based prediction model to identify high-risk metabolic phenotypes among obese participants and to elucidate the causal metabolic pathways involved.
Methods
Forty-one-thousand-four-hundred-fifty-nine obese participants were followed for a median of 14.4 years. We integrated multiple machine learning (ML) algorithms to develop predictive models for 3-, 5-, and 9-year MDD risk, with a temporal validation within the same biobank. Furthermore, we investigated the potential causal relationships within the obesity-metabolite-MDD using mediation Mendelian randomization (MR).
Results
During follow-up, 3,642 incident MDD cases were documented. The optimized LightGBM model demonstrated superior predictive performance, achieving AUCs of 0.844 (95% CI: 0.773–0.914), 0.824 (95% CI: 0.771–0.875), and 0.834 (95% CI: 0.796–0.871) for 3-, 5-, and 9-year intervals, respectively, significantly outperforming existing clinical models. Temporal validation confirmed the model’s robustness (AUCs: 0.738–0.776). MR analysis confirmed that key metabolites causally mediate the pathway from obesity to MDD (mediation proportions: −11.5% and −35.3%, all PME < 0.05).
Conclusions
These findings challenge the notion of a uniform obesity–MDD association, demonstrating that metabolomic signatures can effectively stratify MDD risk. We present a validated ML framework for the early identification of high-risk individuals with obesity, offering a precision medicine approach to guide targeted metabolic and psychiatric interventions.