Objective: This study aimed to examine the association between appearance comparison and adolescent depressive symptoms, the mediating role of body appreciation, and the moderating roles of gender and body-mass index (BMI) among adolescents in different age groups. Methods: A cross-sectional sample of 2645 Chinese students aged 12– 16 years (44.7% girls) participated. The measurements included depressive symptoms, appearance comparison, body appreciation, weight, and height. Multigroup path analysis was used to examine the moderated mediation model. Results: Compared with boys, adolescent girls presented greater levels of appearance, which increased with age. Body appreciation mediated the association between appearance comparison and depressive symptoms in girls, whereas appearance comparison directly correlated with depressive symptoms in boys. Body appreciation decreased with increasing BMI in boys but remained relatively stable in girls. Similar patterns were observed among junior and senior high school students. Conclusion: This study underscores the significant relationship between appearance comparison and adolescent depressive symptoms, suggesting varied mechanisms based on gender and BMI levels.
Although particulate matter has been associated with sleep problems, the effects of PM2.5-bound organophosphate esters (OPEs) on children’s sleep remain unclear. OPEs have neurotoxic and endocrine-disrupting effects that may disrupt sleep–wake regulation during neurodevelopment, supporting biological plausibility for sleep impacts. In this study, we quantified the individual and mixture effects of PM2.5-bound OPEs on the sleep disorder domain. This cross-sectional study included 110,169 children aged 6–18 years from primary and secondary schools in the Pearl River Delta (PRD), China. Sleep disorders were evaluated using the validated Sleep Disturbance Scale for Children (SDSC). Elastic net and mixed effect models identified specific OPE–sleep associations, while weighted quantile sum regression evaluated mixture effects. All odds ratios indicate a change in the likelihood of sleep disorders per interquartile range (IQR) increase in OPE concentrations. The strongest individual associations were observed for TDCIPP with short sleep duration (OR = 1.56–1.61; moderate association), TEHP with short sleep duration (OR = 1.59–1.64; moderate association), and TPHP with overall sleep disorder (OR = 1.32–1.42; modest association). Combined OPE exposure was positively associated with all sleep disorder domains (ORs = 2.02–2.85; moderate-to-large associations). These results indicate that inhaling PM2.5-bound OPE mixtures could negatively impact children’s sleep health. This emphasizes a critical developmental period and highlights the importance of public health concerns related to emerging airborne contaminants.
Chlorinated paraffins (CPs) are emerging contaminants with potential risks to the environment and human health, but their link between fine particulate matter-bound chlorinated paraffins (PM2.5-bound CPs) and the risk of sleep disorders has not been reported. This large-scale, population-based study included 122,965 valid questionnaires from school-aged children in the Pearl River Delta region of China. Generalized linear mixed models, restricted cubic splines, weighted quantile sum regression and Quantile g-computation models were used to evaluate the individual and combined effects of PM2.5-bound CPs on sleep disorders. Mediation analysis assessed the potential role of body weight. Our findings showed that an interquartile range (IQR) increase in PM2.5-bound ∑CPs was linked to a higher risk of sleep disorders, and odds ratio ranging from 1.08 to 3.20. Short-chain chlorinated paraffins (SCCPs) were identified as key contributors of CPs and might interfere with important metabolic pathways. Further analysis indicated that body weight statistically accounted for part of the observed association between exposure to CPs and sleep disorders, with the proportion mediated ranging from 3.40% to 35.67%. Stratified analyses suggested stronger associations among girls and children under 12 years. These findings support prioritizing CPs management strategies to reduce their negative impact among children and adolescents.
Widespread exposure to per- and polyfluoroalkyl substances (PFAS) is a growing public health concern, but its link to muscle damage remains largely unexplored. As PFAS exposure is associated with liver dysfunction, which is an established risk factor for muscle damage, we examined their associations and potential mediating pathways. A total of 1261 participants were recruited from Guangdong province, China, from November 2018 to August 2019 and examined for muscle mass, strength, serum PFAS levels, and biomarkers of liver function. The key results demonstrated significant positive associations between serum PFAS exposure and sarcopenia risk. Specifically, a per ln ng/mL increase in linear perfluorooctane sulfonate (PFOS), branch PFOS, and perfluorooctanoic acid (PFOA) was associated with adjusted odds ratios of 2.32 (95% CI: 1.77 to 3.00), 2.18 (95% CI: 1.67 to 2.90) and 3.01 (95% CI: 1.96 to 4.70), respectively. Analysis of PFAS mixtures via the BKMR model revealed a linear dose–response relationship of sarcopenia, with PFOS and PFOA being the primary contributor. Importantly, mediation analyses showed that liver function biomarkers served as significant mediators of the PFAS–sarcopenia association. Notably, liver synthesis function markers (albumin and globin) mediated a substantial proportion of the association, ranging from 3.48% to 82.42%, whereas liver injury markers (aspartate aminotransferase and gamma-glutamyl transferase) accounted for only 1.54% to 15.44%. This study underscores the need to be aware of the increased risk of muscle damage associated with PFAS exposure, which may primarily operate through liver function abnormalities.
Although particulate matter has been associated with sleep problems, the effects of PM2.5-bound organophosphate esters (OPEs) on children’s sleep remain unclear. In this study, we examined the relationship between OPEs in PM2.5 and sleep disorders in children. This cross-sectional study included 110,169 children aged 6–18 years from primary and secondary schools in the Pearl River Delta (PRD), China. Sleep disorders were evaluated using the validated Sleep Disturbance Scale for Children (SDSC). Concentrations of OPEs were measured through school-based sampling and chemical analysis. Elastic net regression identified key OPE exposures, binomial generalized linear mixed models estimated individual OPE effects with the city as a random effect, and weighted quantile sum regression assessed the combined effects of OPE mixtures. All odds ratios indicate the change in likelihood of sleep disorders per interquartile range (IQR) increase in OPE concentrations. Although all components showed significant associations, the highest odds were observed with TDCIPP for short sleep duration (OR: 1.56–1.61), TEHP for short sleep duration (OR: 1.59–1.64), and TPHP for overall sleep disorder (OR: 1.32–1.42). Combine OPE exposure was positively associated with all childhood sleep disorders, with odds ratios ranging from 2.02 to 2.85 across various sleep outcomes. These findings highlight how OPE mixtures in PM2.5 affect child sleep health, emphasizing the need for comprehensive analytical methods.