Objective: To explore the association between light at night (LAN) of different intensities and ocular biometric parameters among preschool children, so as to provide a reference for optimizing strategies for myopia prevention and control. Methods: From November 2024 to January 2025, a cross sectional study was conducted among 369 preschool children from one kindergarten in Quanzhou City, Fujian Province. Questionnaire survey and eye examination were performed, and portable light sensors were used to collect LAN exposure data. Spearman correlation analysis was used to examine the associations between the duration of LAN exposure at different intensities and ocular biometric parameters. Generalized linear model was employed to explore the relationships between LAN duration at various intensities and ocular biometric parameters, while restricted cubic spline was used to investigate potential nonlinear associations. Results: The spherical equivalent (SE), axial length (AL), and axial length/corneal radius of curvature (AL/CR) for preschool children were 0.38 (-0.13,0.63) diopters, 22.35 (21.86,22.88) mm, and 2.86 (2.82,2.90), respectively. The median daily duration (interquartile ranges) of LAN exposure at intensities of 0, >0-100, >100-300, and >300 lx were 6.09(5.31,6.74), 1.74(1.13,2.42), 0.06(0.00,0.26), 0.00(0.00,0.00)h/d, respectively. The generalized linear model showed that for every additional hour of LAN at >100-300 lx, the AL/CR increased by 0.26 (95% CI =0.01-0.52); for every additional hour of LAN at >300 lx, AL/CR increased by 0.32 (95% CI =0.05-0.59) (both P < 0.05). No statistically significant associations were observed between SE or AL and LAN exposure at any of the intensity levels (0, >0-100, >100-300, and >300 lx) (all P >0.05). The restricted cubic spline model revealed that, except for the nonlinear relationship between LAN duration and AL at >100-300 lx ( P =0.02), all other light intensity levels showed linear correlations between LAN duration and preschool children s SE, AL, and AL/CR (both P >0.05). Time of day subgroup analysis revealed that during school days, for every additional hour of LAN at >100-300 lx and over 300 lx，AL/CR increased by 0.18 (95% CI =0.01-0.35) and 0.22 (95% CI =0.03-0.41), respectively (both P <0.05). However, weekend exposure showed no statistically significant association (all P >0.05). Conclusion Higher intensity of LAN is associated with increased AL/CR, and reducing exposure to LAN may have a potential protective effect on the visual health of preschool children.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective: To analyze the effects of outdoor activities, sedentary behaviors and sleep duration on the risk of poor vision among primary and secondary school students after replacing them with each other, so as to provide a reference for precise intervention in the prevention and control of myopia among children and adolescents. Methods: From March to May 2023, a stratified cluster random sampling method was used to select 6 132 students in grades 4 to 12 in Hefei, Wuhu, Suzhou and Chizhou cities in Anhui Province. A questionnaire survey was conducted to collect the basic information, outdoor activities, sedentary behavior, and sleep duration, and a visual inspection was carried out by 5 m standard logarithmic visual acuity chart. The single activity model, segmentation model and isotemporal substitution model were used to analyze the relationship between outdoor activities, sedentary behaviors, sleep, and poor vision, and stratified analysis was performed by gender. Results: The detection rate of poor vision among the 6 132 primary and secondary school students was 76.9%, and the detection rate of poor vision was higher for girls ( 81.1 %) than for boys (72.6%), and the difference was statistically significant ( χ 2=61.37, P <0.01). The results of the single activity model and segmentation model showed that outdoor activity and sleep duration were correlated with a reduced risk of poor vision in primary and secondary school students ( OR =0.87, 0.88; 0.88, 0.91), while sedentary behavior was correlated with an increased risk of poor vision ( OR =1.05, 1.03) ( P <0.05). The results of the isotemporal substitution model showed that replacing the same amount of sedentary behavior with 1 h/d of outdoor activity was associated with 15% reduction in the risk of poor vision ( OR = 0.85), and replacing the same amount of sedentary behavior with 1 h/d of sleep was associated with a 12% reduction in the risk of poor vision ( OR =0.88) ( P <0.05). The results of the isotemporal substitution model stratified by gender showed that replacing the same amount of sedentary behavior with 1 h/d of outdoor activity and 1 h/d of sleep were associated with 22% and 8% reduction in the risk of poor vision in male students ( OR =0.78, 0.92), and replacing the same amount of sedentary behavior with 1 h/d of sleep was associated with 18% reduction in the risk of poor vision in female students ( OR =0.82) ( P <0.05). Conclusion Replacing sedentary behavior with 1 h/d of outdoor activity for boys and 1 h/d of sleep for girls and boys could reduce the risk of poor vision.

In recent years, organophosphate esters (OPEs), widely used in industrial and consumer products, have become ubiquitous environmental contaminants, raising concerns about their potential effects on human health, particularly fetal neurodevelopment. While published studies have suggested that prenatal exposure to OPEs may negatively impact fetal neurodevelopment, the mechanisms remain unclear. Placental neurotransmitters play a crucial role in fetal neurodevelopment during critical periods, with their synthesis, release, transport, and expression dynamically regulated by various factors, including environmental influences. This review, based on potential mediating role of placental neurotransmitters in fetal neurodevelopment, systematically reviewed studies examining the associations between prenatal OPEs exposure, alterations in maternal placental neurotransmitters, and neurodevelopmental abnormalities in offspring. The majority of studies suggested that OPEs may impact fetal neurodevelopment by interfering with placental neurotransmitter homeostasis. This review provided the first systematic overview of research demonstrating the long-term impact of OPEs on offspring neurodevelopment via placental neurotransmitters, revealing novel mechanisms of OPEs neurotoxicity, and offering a new understanding of the potential mechanisms of OPEs action on neurodevelopment.

Objective: To describe the prevalence and association of dietary rhythm and depressive symptoms among adolescents, so as to provide a basis for improving unhealthy behavioral habits,and to promote adolescent physical and mental health. Methods: From October to December 2021, a total of 22 868 students were selected from one middle school and high school in urban and rural areas of eight cities, namely, Shenyang, Xuzhou, Shenzhen, Taiyuan, Nanchang, Zhengzhou, Chongqing, and Kunming cities, China, using a combination of purposive sampling and stratified cluster random sampling. A self administered questionnaire was used to assess adolescents dietary rhythm, and the Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms. Binary Logistic regression model was employed to analyze the associations between adolescent dietary rhythm and depressive symptoms, while the associations between adolescent dietary rhythm and depressive symptoms across gender and physical activity levels were stratified by gender and physical activity levels. Results: The detection rate of depressive symptoms in adolescents was 44.4%. The respective differences in the detection rates of depressive symptoms among adolescents of different genders, physical activity levels, and dietary rhythm disorders were statistically significant ( χ 2=157.51, 105.02, 3 282.50, P <0.01). Taking the low disordered dietary rhythm group as the reference, binary Logistic regression analyses showed that after adjusting for confounding factors such as age, gender，family location, family economic situation, whether only child, parental education level, and learning burden, physical activity levels, depressive symptoms were positively correlated with adolescents in the moderate disordered dietary rhythm group ( OR=2.63, 95%CI =2.45-2.83) and the high disordered dietary rhythm group ( OR=6.38, 95%CI = 5.93- 6.86). In addition, after stratifying by gender, dietary rhythm were positively correlated with depressive symptoms. The moderate disordered group (male: OR=2.62, 95%CI =2.37-2.89, female: OR=2.67, 95%CI =2.40-2.97) and the highly disordered group (male: OR=5.74, 95%CI =5.19-6.35, female: OR=7.11, 95%CI =6.40-7.89) were positively correlated with depressive symptoms. After stratification by physical activity levels, low, moderate and above physical activity levels among adolescents in the disordered dietary rhythm group (low physical activity: OR=2.91, 95%CI =2.58-3.29, moderate and above physical activity: OR= 2.50, 95%CI =2.28-2.74), high disordered group (low physical activity: OR=6.51, 95%CI =5.94- 7.13 , moderate and higher physical activity: OR=6.18, 95%CI =5.47-6.97) were positively associated with depressive symptoms ( P <0.01). There was an interaction between dietary rhythm and physical activity levels in regard to the development of depressive symptoms in adolescents, taking the group with moderate and above physical activity levels and low disordered dietary rhythm as the reference,the detection rate of which was higher in adolescents with low levels of physical activity and those in the moderate or high disordered dietary rhythm group ( OR=1.50, 3.90, 95%CI=1.39-1.61, 3.63-4.19, P <0.01). Conclusions Dietary rhythm disorders were found to be positively associated with depressive symptoms in adolescents. Regular dietary behaviors and increased physical activity play an important positive role in promoting adolescent mental health.

Objective: To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students. Methods: By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students. Results: The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05). Conclusions Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.

Objective: The aim of this study was to establish a comprehensive concise health index (CHI) for evaluating adolescents, so as to provide a basis for determining the overall health status of adolescents in China. Methods: On the basis of a literature review and consensus among core researchers, adolescent CHI indicators in the following five dimensions were assessed:physical growth, physical fitness, common diseases, mental health and behavioral health. A total of 24 experts used an analysis hierarcgy process (AHP) to calculate the indicators subjective weights. In addition, from October to December of 2021, two regions, A and B were selected to conduct empirical research, and the CRITIC method was used to calculate the objective weights of the indicators. Finally, the weight coefficients were determined through the AHP-CRITIC combination weight method, and comprehensive evaluation was performed with the TOPSIS method. Results: Across academic period and genders, the combined weighted coefficients of the health indicators were as follows:BMI, 0.081-0.095; waist circumference, 0.070-0.081; relative grip strength, 0.101-0.108; myopia, 0.110-0.128; dental caries, 0.055-0.070; psychological symptoms, 0.240-0.262; physical exercise, 0.085-0.115; screen time, 0.097-0.111; and sleep duration, 0.086-0.103. The health index of middle school students in city A (0.626±0.065) was significantly higher than that in city B(0.613±0.066)( t=6.34, P <0.01). Conclusion The comprehensive adolescent CHI evaluation method has good consistency and application value, and may serve as a reference for adolescent health monitoring.

Objective: The study aimed to describe the prevalence of mobile phone use and depressive symptoms and to examine the bidirectional associations between the two among college students, providinb evidence for mental health promotion among college students. Methods: A longitudinal study with follow up at 6 month intervals was conducted in 1 135 students from 2 universities in Hefei, Anhui Province and Shangrao, Jiangxi Province who were selected between April and May 2019. The last follow up was conducted between April and May 2021 based on questionnaire survey, and 999 valid participants were obtained after matching. The self designed questionnaire was used to investigate the duration of cellular phone use and use of cellular phone functions among college students. The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and the Patient Health Questionnaire-9 (PHQ-9) were used to assess cellular phone dependence and depressive symptoms among college students. Pearson correlation analysis was used to examine the correlation between cellular phone use behavior and depressive symptoms at baseline and 2 years later; linear regression model was used to analyze the linear association between cellular phone use behavior and depressive symptoms scores; autoregressive cross lagged model was used to analyze the bidirectional associations between cellular phone use behaviors and depressive symptoms among college students over time. Results: The prevalence of mobile phone dependence and depressive symptoms among college students at baseline were 24.3% and 42.4%, respectively. The mean duration of mobile phone use among college students at baseline and the 2 year follow up were (2.84±0.90)h/d and (2.02±1.05)h/d, respectively; the mean scores of mobile phone dependence were (23.30±9.00) and (23.29±10.45), respectively; the mean scores of mobile phone function use were (30.12±6.66) and (29.12±7.27), respectively; and the mean scores of depressive symptoms were (4.51±4.76) and (2.61±4.40), respectively. Pearson correlation analysis showed there were significant positive correlations between duration of cellular phone use, cellular phone dependence, use of cellular phone functions at baseline or 2 years later and depressive symptoms 2 years later( r =0.08-0.50, P <0.05). Linear regression models showed a significant positive association between cellular phone dependence at baseline and depressive symptoms ( β=0.26, 95%CI =0.23-0.29) at baseline and 2 years later ( β=0.12, 95%CI =0.09-0.15). Autoregressive cross lagged models showed that cellular phone dependence at baseline positively predicted depressive symptoms 2 years later ( β =0.04) and depressive symptoms at baseline positively predicted cellular phone dependence 2 years later( β =0.23)( P <0.05). Conclusion There was a bidirectional association between cellular phone dependence and depressive symptoms among college students. Reducing cellular phone dependence is of positive significance for improving college students mental health.

Objective: To develop a simplified Rating Questionnaire of Social Ecological Risks in Adolescents and to evaluate the reliability and predictive validity of the brief questionnaire, so as to provide data and evidence support for building the evaluation system of cumulative social ecological risk exposure. Methods: A large cross sectional was conducted in eight areas, including Shenzhen, Zhengzhou, Xuzhou, Nanchang, Shenyang, Taiyuan, Kunming and Chongqing, from October to December 2021. A total of 22 868 adolescents were included in the analysis. Data on healthy behaviors from 10 838 adolescents from Shenyang, Taiyuan, Kunming, Chongqing were used for item selection, based on factor analysis, validity and reliability evaluation. The data from Shenzhen, Zhengzhou, Xuzhou, Nanchang, including 12 030 adolescents, were used to define the partition values of the brief questionnaire, and evaluate the predictive validity. Results: The brief questionnaire containing 25-item were developed by analyzing and choosing all items of original questionnaire, and covered seven dimensions including individual, family, school, community, policy, time and culture. The cumulative contribution rate of variance was 54.95%, the Cronbach coefficient was 0.79, and the split half coefficient was 0.70. Participants in the higher risk group had significantly higher risk of smoking ( OR =4.05, 95% CI = 2.78 -5.92), drinking ( OR =3.47, 95% CI =2.86-4.19), suicidal ideation ( OR =8.85, 95% CI =7.68-10.21), suicidal plans ( OR = 8.85, 95% CI =7.27-10.78), suicidal attempt ( OR = 8.86 , 95% CI =6.67-11.78) than individual in the lower risk group ( P < 0.05). After stratified by gender, the above positive correlations still remained significant( P <0.05). Conclusion The brief questionnaire, with good reliability and predictive validity, could be widely applicated in the further researches on social ecological risk factors.

Objective: To analyze the association between non-school sedentary time and myopia among primary and secondary school students with different levels of physical activity, so as to provide data for precise measures to prevent and control myopia. Methods: From September to December 2019, stratified cluster sampling was used to select 7 872 primary and secondary students in grades 4 to 12, middle and high school students from Hefei, Suzhou, Chizhou and Wuhu Cities in Anhui Province. Face-to-face questionnaires and vision examinations were conducted to collect demographic information, physical activity time, sedentary study time and visual health status. Potential categories were analyzed for different types of physical activity time, and Logistic regression was used to assess the relationship between non-school sedentary time and myopia at different levels of physical activity. Results: A total of 2 976 primary and secondary school students were found with high physical activity levels and 4 896 primary and secondary school students with low physical activity levels. The proportion of low physical activity was higher in girls than in boys (68.7% vs . 55.6%), and the differences were statistically significant ( χ 2=143.97, P <0.01). The overall screening myopia rate was 48.2%, with statistically significant differences among female students (53.0%) compared with male students (43.3%), urban students ( 51.8 %) compared with rural students (44.5%), and longer non-school sedentary time students (60.6%) compared with average (45.1%) and shorter (42.1%) non-school sedentary time students, and the differences were statistically significant ( χ 2=73.15, 41.96 , 161.74, P <0.01). Adjusting for confounders such as residence, grade, gender, age, father s education, mother s education, and body mass index (BMI), multivariate Logistic regression analysis revealed that prolonged after-school sedentary study was positivety correlated with myopia among primary and secondary school students of low physical activity levels ( OR=1.52, 95%CI=1.27-1.83, P <0.01), and there was no statistical association between after-school sedentary time and myopia in primary and secondary school students with high physical activity levels ( P >0.05). Conclusion Attention should be paid to non-school sedentary time for primary and secondary school students with low physical activity levels. And students who spend a lot of time sitting outside of school should be encouraged to maintain high physical activity levels to reduce the risk of myopia.