Search Results (95)

Although evidence suggests adiposity as a modifiable risk factor for postmenopausal breast cancer (BC), its association with premenopausal BC remains uncertain. This potential differential relationship for menopausal status has been insufficiently investigated in the Moroccan population due to limited data. This study aims to assess the relationship between various indicators of adiposity and the risk of BC among Moroccan women by menopausal status. A multicenter case-control study was conducted in Morocco between December 2019 and August 2023, including 1400 incident BC cases and 1400 matched controls. Detailed measures of adiposity and self-reported measures from different life stages were collected. Unconditional logistic regression analyses were conducted to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association between body size indicators and the risk of BC, adjusting for a range of known risk factors for BC. Higher waist circumference (WC) and hip circumference (HC) were associated with an increased risk of BC in both pre- (p-trend < 0.001 for both WC and HC) and post-menopausal women (p-trend < 0.001 for WC, 0.002 for HC). Current body mass index (BMI) ≥30 kg/m² increased the risk of postmenopausal BC (p-trend = 0.012). Among postmenopausal women, higher weight at age 20 was positively associated with BC risk (p-trend < 0.001), while, weight at age 30 was significantly associated with increased BC risk in both pre- (p-trend = 0.008) and post-menopausal women (p-trend = 0.028). Interestingly, weight gain since age 20 was inversely associated with BC risk in postmenopausal women in the adjusted model (p-trend = 0.006). Young-adult BMI observed a significant increased trend with BC risk in both pre- (p-trend = 0.008) and post-menopausal women (p-trend < 0.001). In premenopausal women, larger body shape during childhood and early adulthood was positively associated with BC risk (p-trend = 0.01 and = 0.011, respectively). In postmenopausal women, larger childhood and adolescent body silhouettes were also associated with increased BC risk (p-trend = 0.045 and 0.047, respectively). These results suggest that anthropometric factors may have different associations with pre- and post-menopausal BC among Moroccan women. This underscores the importance of conducting large prospective studies to better understand these findings and explore their links to different molecular subtypes of BC. Full article

Background/Objectives: Childhood overweight/obesity status is a critical risk factor for adverse cardiometabolic outcomes. We aimed to evaluate the sex-specific associations between a maintained childhood overweight status and late-adolescent cardiometabolic risk factors using data from a Korean longitudinal study. Methods: We used data from the Korean Children-Adolescents Study, a prospective cohort of children enrolled at age 7 and followed annually from 2005 to 2020. Among participants who were followed at least once, a total of 899 children (438 boys, 461 girls) with consistent body mass index (BMI) status at ages 7–9 and 10–12 were included in the analysis. Participants were categorized into two groups on the basis of BMI: normal weight maintenance and overweight maintenance. Multivariable linear regression was used to examine the associations between BMI patterns and cardiometabolic risk factors, with adjustments for covariates. Results: Among the 899 children (mean age: 7.1 ± 0.4 years, 48.7% boys), 12.8% of boys and 5.9% of girls were classified into the overweight maintenance group. Boys in the overweight maintenance group had significantly greater BMIs, waist circumferences (WC), body fat percentages, trunk fat mass, and aspartate aminotransferase and alanine aminotransferase levels at ages 15 and 18. Girls in the same group had elevated BMI, WC, body fat percentage, trunk fat mass, and blood pressure and experienced earlier pubertal onset. Conclusions: Maintaining an overweight status during childhood is associated with adverse cardiometabolic profiles in adolescence, with sex-specific differences. These findings highlight the importance of early, sex-specific interventions to prevent long-term health risks associated with childhood obesity. Full article

Background/Objectives: The weight-adjusted waist index (WWI), a novel measure of abdominal obesity independent of overall weight, has shown promise in assessing health risks. However, its relationship with dementia remains unclear. This study investigates the association between the WWI and dementia risk in British older adults. Methods: Employing data from the United Kingdom Biobank, we conducted a prospective cohort study focusing on 155,683 elderly participants. Multivariable logistic regression models were employed to investigate the linear association between the WWI and all-cause dementia. Restricted cubic spline analysis was used to evaluate non-linear relationships, while subgroup analyses and interaction tests were performed to examine the stability of findings across different populations. Results: Among participants (mean age: 63.2 years; 52.2% male), 3211 dementia cases were identified during 13.1 years of follow-up (2.06% prevalence). The analysis revealed a significant inverse relationship between the WWI and dementia risk. In fully adjusted models, higher WWI was associated with a reduced risk of dementia (β = −0.274, p < 0.001). When the WWI was categorized into quartiles, participants in the highest quartile exhibited a 47% lower risk of dementia compared to those in the lowest quartile. This inverse association was particularly pronounced among non-current smokers (p < 0.05 for interaction). Restricted cubic spline analysis confirmed a non-linear relationship, with the protective effect of the WWI becoming more evident at higher values. Conclusions: The WWI is inversely associated with dementia risk in British older adults. These findings reveal that the WWI may serve as a potential predictor for dementia risk, highlighting its potential in risk stratification and prevention strategies. Full article

Background/Objectives: The eating window concept has been understudied in children, with no reports from Austria. This study explored meal timing and its association with obesity-related variables in a sample of Viennese schoolchildren. The effect of a healthy intervention on obesity variables according to the daily eating window was assessed. Methods: The EDDY study included 138 third-grade students from three Vienna schools. Baseline meal timing was assessed using self-administered questionnaires, and the daily eating window—the time between the first and last meal—was calculated and categorized into tertiles. Anthropometric and body fat measurements were taken at baseline and after 21 months. Baseline outcomes were compared between children with long (LEW; 3rd tertile) and short (SEW; 1st tertile) eating windows using adjusted linear regression analysis. Longitudinal changes were analyzed using mixed models for repeated measures. Results: The median age was 7.9 years, and 26.8% were classified with overweight/obesity. The children’s eating window spanned 11:40 h, from 7:00 to 19:00. More than half (52.2%) reported fasting 1–2 h before bed. Children had four daily meals; 16.4% skipped breakfast, while 51.5% ate it regularly. Meal timing variables did not differ by weight status. Children with a LEW (≥12:05 h) had lower BMI-SDS (−0.66) and fat mass index (−1.06) than those with a SEW (≤11:05 h). No longitudinal changes in BMI-SDS, fat mass index, or waist-to-height ratio were observed across eating window tertiles following the intervention. Conclusions: In a non-representative sample of Viennese children, the eating window ranged from 9:30 to 13:30 h, similar to Austrian adults but differing from other Western European countries. Full article

Objectives: This study aims to elucidate the metabolic differences between obese adolescents categorized into low-weight-loss (LWL) and high-weight-loss (HWL) groups. Methods: The objective of this study is to investigate the metabolic characteristics of obese adolescents, with a focus on the statistically significant individual differences observed in weight loss outcomes after the same dietary and exercise training intervention. A four-week exercise and dietary intervention was administered to the participants. Obese adolescents were categorized into LWL (with a weight loss percentage of 5–10%) and HWL (with a weight loss percentage of >10%) groups on the basis of their weight loss outcomes. Post-intervention changes in body morphology and body composition between the two groups were compared using Analysis of Covariance (ANCOVA), with gender as a covariate. Additionally, metabolic changes were analyzed in depth; differential metabolites between the groups were identified through ANCOVA adjusted for gender, followed by pathway analysis. Results: After the four-week exercise intervention, the body morphology and composition of the obese adolescents showed significant improvements compared with those before the intervention (p < 0.001). For example, weight decreased from 80.65 kg to 72.35 kg, BMI decreased from 30.57 kg/m² to 27.26 kg/m², waist circumference decreased from 103.64 cm to 94.72 cm, and body fat percentage decreased from 32.68% to 28.54%. Prior to the exercise intervention, no significant differences in body morphology and composition were observed between the HWL and LWL groups (p > 0.05). After the intervention, the HWL group demonstrated significant improvements in weight, body mass index, waist circumference, body fat percentage, fat mass, fat-free mass, body water amount, and skeletal muscle mass compared with the LWL group (p < 0.001). After controlling for the levels of pre-intervention metabolites, 27 differential metabolites were identified between the HWL and LWL groups. These metabolites were categorized into fatty acids, amino acids, organic acids, carnitines, indoles, benzoic acids, and carbohydrates. Notably, they were significantly enriched in the eight metabolic pathways involved in amino acid metabolism, fatty acid biosynthesis, and coenzyme A biosynthesis. Conclusions: A four-week exercise intervention enhanced the body morphology and physical fitness of obese adolescents, although the degree of weight loss varied among individuals. Considerable weight reduction was significantly correlated with metabolites involved in lipid, amino acid, organic acid, carbohydrate, and gut microbiota metabolism and with the enrichment of pathways involved in amino acid metabolism, fatty acid biosynthesis, and coenzyme A biosynthesis. These findings indicate that intrinsic metabolic characteristics considerably influence individual responsiveness to exercise-based weight-loss interventions. Full article

Objectives: To estimate the association between various indicators of obesity-related health risk and the incidence of rheumatoid arthritis (RA) in a large cohort of women. Methods: The UK Women’s Cohort Study is a prospective cohort of 35,372 middle-aged women (aged 35–69 at recruitment) initiated in 1995–1998. Obesity was assessed using body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), categorised according to WHO and NICE guidelines, as well as clothing size. Incident RA cases were identified via Hospital Episode Statistics (HES) linkage up to March 2019. Cox regression models were used to estimate RA risk, adjusting for demographics, reproductive factors, and lifestyle factors. Non-linear associations were examined using restricted cubic splines. Results: Among 27,968 eligible subjects with complete data linkage (625,269 person-years of follow-up), there were 255 incident RA cases. Obesity (≥30.0 kg/m²) was associated with increased RA risk (HR (95% CI) 1.48 (1.02, 2.17), as were abdominal obesity (WC > 88 cm: 1.58 (1.10, 2.27)), WHR ≥ 0.85 (1.56 (1.03, 2.36)), and WHtR ≥ 0.6 (2.25 (1.34, 3.80)). Each 2.5 kg/m² increase in BMI was associated with a 9% higher risk of RA; each 5 cm increase in WC with 6%; each 0.1 increase in WHR with 20%, and each 0.1 increase in WHtR with 27%. Larger clothing sizes were associated with a greater RA risk: for each onesize increment in blouse size and skirt size, the HRs were 1.13 (95% CI: 1.04, 1.22) and 1.13 (95% CI: 1.05, 1.22), respectively. Notably, skirt size ≥ 20 was associated with a 2.36-fold increased risk of RA. There was evidence of effect modification by weight change and menopausal status in obesity-related RA risk. Conclusions: Our findings suggest that managing obesity and central adiposity in middle-aged women may be associated with the risk of developing RA. WHtR may serve as a practical alternative to BMI in assessing RA risk. Clothing size, particularly skirt size, could provide a simple, cost-effective proxy for identifying at high risk of RA. Full article

Background/Objectives: Individuals with metabolic syndrome (MetS) present reduced 25(OH)D levels. We performed a two-sample Mendelian randomization (MR) study to investigate whether causal relationships exist between 25(OH)D levels and MetS/MetS risk traits, including waist circumference, body mass index (BMI), hypertension (systolic/diastolic blood pressure), triglyceride, high-density lipoprotein cholesterol, and glucose levels. Methods: We employed genetic variants related to 25(OH)D levels from the SUNLIGHT Consortium and a European genome-wide association study meta-analysis, including UK Biobank (UKB) data, as well as variants for MetS and MetS risk traits from UKB and multiple European consortia. Several MR methods were used, i.e., inverse-variance weighted, weighted median, and MR–Egger regression. Heterogeneity and horizontal pleiotropy analyses were performed to ensure the stability of candidate single-nucleotide polymorphisms (SNPs) as the instrumental variable. We first conducted univariable MR to investigate the relationship between 25(OH)D levels and MetS, including its related risk traits, and subsequently performed multivariable MR to adjust for potential confounders. Results: This study did not provide evidence of a causal relationship between 25(OH)D levels and MetS/MetS risk traits. However, we found that several risk traits of MetS, such as waist circumference, BMI, and TG, had an inverse–causal relationship with 25(OH)D levels, suggesting that 25(OH)D levels could be secondary consequences of metabolic illnesses. Conclusions: We identified no causal relationship between 25(OH)D levels and MetS/MetS risk factors. However, 25(OH)D levels may result from MetS traits. Full article

(1) Background: Commonly used anthropometric indices have limitations that discriminate their relevance. The subject of this research was to evaluate the health risks associated with body composition using the new weight-adjusted waist index (WWI). (2) Materials and Methods: The research group consisted of two hundred and thirty-nine Caucasian women. Body composition was analyzed by the MF-BIA method using InBody 970. The WWI was calculated as waist circumference divided by the square root of weight. Biochemical parameters (lipid profile, glucose, hs-CRP and uric acid) were analyzed using a Biolis 24i Premium biochemical analyser. One-factor variance analysis, a post-hoc test, Pearson correlation analysis and WWI quartiles were used for the statistical evaluation. (3) Results: The results showed significant differences between WWI quartiles. Compared to the lowest quartile, participants in the highest quartile groups had the highest values of body weight (58.49 vs. 87.17 kg; p < 0.001), waist circumference (WC) (76.47 vs. 109.45 cm; p < 0.001), body mass index (BMI) (20.65 vs. 32.06 kg/m²; p < 0.001), waist-to-hip ratio (WHR) (0.84 vs. 1.03; p < 0.001), waist-to-height ratio (WHtR) (0.46 vs. 0.66; p < 0.001), fat-free mass (FFM) (44.97 vs. 49.12 kg; p < 0.001), fat mass (FM) (13.52 vs. 38.05 kg; p < 0.001) and visceral fat area (VFA) (56.94 vs. 150.62 cm²; p < 0.001), confirming a higher risk of obesity. The women in the highest quartile had significantly higher values of total cholesterol (TC), triglycerides (TG), glucose (GLU), uric acid (UA), high-sensitivity C-reactive protein (hs-CRP) and systolic and diastolic blood pressure (BP). The correlations showed a strong positive relationship of the WWI with WC (r = 0.924), VFA (r = 0.907) and FM (r = 0.901) and a strong negative relationship with %FFM (r = −0.9) and %SMM (skeletal muscle mass) (r = −0.887). The correlation analysis also confirmed a strong positive association with WHR (r = 0.964), WHtR (r = 0.944), FMI (r = 0.902) and BMI (r = 0.863). (4) Conclusions: Our results confirmed that the WWI is a useful tool for assessing fat and muscle components, as well as for assessing health risks. Full article

(1) Background: Sugar-sweetened beverages (SSBs) are a major source of added sugars and have been linked to adverse health outcomes, including obesity and metabolic disorders. The global rise in adolescents who are overweight and obese presents critical public health challenges. Although there is a growing focus on SSB consumption globally, data on sugar and SSB intake in Iraq, particularly in the Kurdistan region, remain scarce. This study aims to assess SSB consumption and its association with body mass index (BMI) and waist circumference among adolescents in Erbil, Iraq, contributing to efforts to address obesity in this population. (2) Methods: This cross-sectional study included 379 intermediate school students aged 11 to 16 years from Erbil, Iraq. Data were collected using a validated questionnaire to gather information on sociodemographic characteristics, physical activity levels, sedentary behaviors, and sleep duration. Weight and height were measured, and age- and sex-adjusted BMI z-scores were calculated. Waist circumference was measured twice, with the average value recorded. Dietary data were obtained using two non-consecutive 24 h recalls (one on a school day and one on a weekend day), and the average daily SSB consumption was calculated. Multiple regression modeling was used to evaluate the associations between SSB consumption, BMI, and waist circumference, adjusting for potential confounders. Data analysis was conducted using SPSS version 26, with statistical significance set at 5%. (3) Results: The mean daily intake of SSBs was 686.71 ± 197.50 milliliters (mL), with males consuming significantly more (719.8 ± 185.9) than females (658.0 ± 185.3) (p = 0.001). The prevalence of overweight and obesity was 41.7%. Multiple regression analysis showed a significant positive association between BMI and SSB consumption, sedentary behavior, and total caloric intake (p < 0.001), while age was negatively associated with BMI. The consumption of SSBs was strongly associated with BMI, with each additional milliliter of SSB intake associated with a 0.002 unit increase in BMI (t-value = 12.498, p < 0.001). Waist circumference was significantly positively associated with SSB consumption, total caloric intake, and sedentary behavior (p < 0.001), while age (p < 0.001) and moderate-to-vigorous physical activity (MVPA) (p = 0.005) were negatively associated with waist circumference. For each additional milliliter of SSB consumed, waist circumference increased by 0.028 units (t-value = 12.498, p < 0.001). (4) Conclusions: High levels of SSB consumption were observed among adolescents in Erbil, particularly among males. Significant associations were found between SSB intake, overweight/obesity, and waist circumference. These findings highlight the urgent need for targeted public health interventions and further investigation into the factors driving SSB consumption in this population. Full article

Background: Although several studies have demonstrated a link between obesity and cognitive function, the majority have primarily utilized body mass index (BMI) and waist circumference, ignoring the distribution of body fat. Evidence regarding the association of metabolic score for visceral fat (METS-VF), a proposed measurement for visceral adipose tissue (VAT), with cognitive function remains limited. We mainly aimed to investigate this association in older adults in the United States. Methodology: Data were from the National Health and Nutrition Examination Survey (NHANES) 2011 to 2014. Weighted linear regression models were adopted to examine the association of METS-VF and cognitive function scores, with further exploration of these associations across different obesity subgroups. Smoothing curve analysis, along with threshold and saturation effect analysis, were conducted to explore potential non-linear relationships. Results: In the multivariable-adjusted model, participants in the highest quartile (Quartile 4) of METS-VF exhibited a β coefficient of −1.52 [95% CI (−2.43, −0.62)] for the CERAD score compared with those in the lowest quartile (Quartile 1). Threshold and saturation effect analysis revealed non-linear associations of METS-VF with DSST score and Z-score. Conclusions: The findings of this study indicate that elevated METS-VF scores are inversely related to cognitive function, highlighting the importance of considering visceral fat distribution in cognitive health assessments. Full article

Objectives: The aim of this study was to evaluate which anthropometric index, either body mass index (BMI) or weight-adjusted waist index (WWI), is more accurately associated with the prevalence of the most common chronic diseases and components of geriatric assessment in hospitalized older adults. Methods: The study included a total of 2945 hospitalized older adults (median age 82 years). The associations between the presence of chronic diseases and Comprehensive Geriatric Assessment (CGA) results were compared with WWI and BMI values. Results: The WWI was significantly higher in both sex groups suffering from hypertension, diabetes, osteoarthritis, and depression. In women, the parameter was increased among individuals with previous myocardial infarction, who presented heart failure symptoms or had chronic kidney disease diagnosed, whereas in men, among those with pulmonary diseases and osteoporosis, WWI was related to many CGA parameters oftentimes where BMI proved to fail. There was a positive correlation of WWI with the presence of depressive symptoms assessed with the geriatric depression scale (GDS) but no significant correlation with BMI. In multiple logistic regression models, WWI was a stronger predictor of depression as compared to waist circumference or the waist-to-height ratio. Conclusions: There is an association between a higher WWI and depression diagnosis as well as the presence of depressive symptoms according to the GDS in hospitalized older adults, both women and men. There is no such correlation between depression and BMI. Both high BMI and high WWI values seem to identify older patients with cardiometabolic diseases such as hypertension and diabetes. According to this study, WWI seems to be a promising indicator of depression risk and, similarly to BMI, a useful parameter for the assessment of cardiometabolic risk in older hospitalized adults. Full article

Background: The relationship between obesity and respiratory diseases has been widely explored. In this context, the Weight-Adjusted Waist Index (WWI) has emerged as a novel metric for assessing visceral fat. This study aims to evaluate the association between WWI and the risk of emphysema in the U.S. population, by utilizing data from the 2001–2018 National Health and Nutrition Examination Survey (NHANES). Methods: A cross-sectional study was conducted using NHANES data from 2001 to 2018. Logistic regression models were applied to assess the relationship between WWI and emphysema risk. Interaction and subgroup analyses were performed to explore effect modifiers. Results: Our study included a total of 44,949 American adults. The results of the multivariable logistic regression analysis revealed an association between WWI and the incidence of emphysema. In the fully adjusted model, the probability of developing emphysema was 1.5 times higher in the group with WWI > 10.46 compared to those with WWI ≤ 10.46, with an odds ratio of [1.5 (1.1, 1.9), p = 0.003]. Subgroup analysis showed stronger associations among males, non-Hispanic Whites, and individuals with hypertension. Furthermore, we used a two-piece linear regression model and found a nonlinear association between WWI and emphysema, with a breakpoint at 12.5. Conclusions: Our findings indicate a significant association between WWI levels and emphysema. Larger-scale prospective studies are needed to further explore the role of WWI in emphysema. Full article

Background/Objectives: Endogenous metabolic pathways periodically adjust with fluctuations in day and night, a biological process known as circadian rhythm. Time-restricted eating (TRE) aligns the time of food intake with the circadian rhythm. This study aims to investigate the effects of TRE on body weight, body composition and cardiometabolic risk factors. Methods: We reviewed articles from PubMed and Cochrane libraries for clinical trials that compare TRE with regular diet without calorie restriction. We conducted a meta-analysis of 26 studies. Results: Participants who followed TRE demonstrated reduction in body weight [mean-MD: −1.622 kg, (95% confidence interval (CI −2.302 to −0.941)], body mass index (BMI) [MD: −0.919 kg/m² (95% CI: −1.189 to −0.650)], waist circumference [MD: −2.015 cm (95% CI: −3.212 to −0.819] and whole-body fat mass (WBFM) [MD: −0.662 kg (95% CI: −0.795 to −0.530)]. Improvements in cardiometabolic risk factors such as a decrease in insulin concentrations [MD: −0.458 mIU/L, (95% CI: −0.843 to −0.073)], total cholesterol [MD: −2.889 mg/dL (95% CI: −5.447 to −0.330) and LDL concentrations [MD: −2.717 mg/dL (95% CI: −4.412 to −1.021)] were observed. Conclusions: TRE is beneficial for weight loss and improvements in cardiometabolic risk factors. Further large-scale clinical trials are needed to confirm these findings. Full article

Background: Adenosine triphosphate-citrate lyase (ACLY) inhibition has proven clinically efficacious for low-density lipoprotein cholesterol (LDL-c) lowering and cardiovascular disease (CVD) risk reduction. Clinical and genetic evidence suggests that some LDL-c lowering strategies, such as 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) inhibition with statin therapy increase body weight and the risk of developing type 2 diabetes mellitus (T2DM). However, whether ACLY inhibition affects metabolic risk factors is currently unknown. We aimed to investigate the effects of ACLY inhibition on glycaemic and anthropometric traits using Mendelian randomization (MR). Methods: As genetic instruments for ACLY inhibition, we selected weakly correlated single-nucleotide polymorphisms at the ACLY gene associated with lower ACLY gene expression in the eQTLGen study (N = 31,684) and lower LDL-c levels in the Global Lipid Genetic Consortium study (N = 1.65 million). Two-sample Mendelian randomization was employed to investigate the effects of ACLY inhibition on T2DM risk, and glycaemic and anthropometric traits using summary data from large consortia, with sample sizes ranging from 151,013 to 806,834 individuals. Findings for genetically predicted ACLY inhibition were compared to those obtained for genetically predicted HMGCR inhibition using the same instrument selection strategy and outcome data. Results: Primary MR analyses showed that genetically predicted ACLY inhibition was associated with lower waist-to-hip ratio (β per 1 standard deviation lower LDL-c: −1.17; 95% confidence interval (CI): −1.61 to −0.73; p < 0.001) but not with risk of T2DM (odds ratio (OR) per standard deviation lower LDL-c: 0.74, 95% CI = 0.25 to 2.19, p = 0.59). In contrast, genetically predicted HMGCR inhibition was associated with higher waist-to-hip ratio (β = 0.15; 95%CI = 0.04 to 0.26; p = 0.008) and T2DM risk (OR = 1.73, 95% CI = 1.27 to 2.36, p < 0.001). The MR analyses considering secondary outcomes showed that genetically predicted ACLY inhibition was associated with a lower waist-to-hip ratio adjusted for body mass index (BMI) (β = −1.41; 95%CI = −1.81 to −1.02; p < 0.001). In contrast, genetically predicted HMGCR inhibition was associated with higher HbA1c (β = 0.19; 95%CI = 0.23 to 0.49; p < 0.001) and BMI (β = 0.36; 95%CI = 0.23 to 0.49; p < 0.001). Conclusions: Human genetic evidence supports the metabolically favourable effects of ACLY inhibition on body weight distribution, in contrast to HMGCR inhibition. These findings should be used to guide and prioritize ongoing clinical development efforts. Full article

Purpose: This study aimed to investigate the association between social jetlag (SJL) and obesity-related outcomes among adolescents from Valle de Ricote (Region of Murcia, Spain). We explored the relationship between SJL and body mass index (BMI) z-score, waist circumference, and body fat percentage, as well as the odds of having excess weight, obesity, and abdominal obesity in a sample of Spanish adolescents. Methods: A cross-sectional study was conducted using data from the Eating Healthy and Daily Life Activities (EHDLA) project, which included 847 Spanish adolescents aged 12–17 years. SJL was assessed based on the differences in sleep patterns between weekdays and weekends. Obesity-related indicators such as BMI z-score, waist circumference, body fat percentage, excess weight, obesity, and abdominal obesity were measured. Generalized linear models with a Gaussian or binomial distribution were used to analyze the associations between SJL and obesity-related outcomes, adjusting for potential confounders. Results: The analysis revealed significant associations between SJL and BMI z-score (unstandardized beta coefficient [B] = 0.15, 95% CI: 0.05 to 0.25, p = 0.003), waist circumference (B = 1.03, 95% CI: 0.39 to 1.67, p = 0.002), and body fat percentage (B = 0.83, 95% CI: 0.31 to 1.43, p = 0.008). Additionally, the odds ratios (ORs) for excess weight (OR = 1.35, 95% CI: 1.16 to 1.57; p < 0.001), obesity (OR = 1.59, 95% CI: 1.26 to 2.00; p < 0.001), and abdominal obesity (OR = 1.46, 95% CI: 1.23 to 1.72; p < 0.001) increased significantly with each 60 min increment in SJL. Conclusions: This study pointed out that the misalignment of sleeping times during weekdays and weekends (SJL) is significantly associated with higher BMI z-scores, waist circumference, body fat percentage, and higher odds of excess weight, obesity, and abdominal obesity among adolescents, being more significant in boys than in girls. These findings highlight the importance of addressing circadian misalignment in the prevention and management of obesity and its related metabolic disorders in this population. Full article