Objective: To explore the association of outdoor activity time and sleep duration with screening myopia in primary school students, so as to provide strategies for myopia prevention. Methods: Through a convenience sampling method, a survey was conducted among 4 248 primary school students aged 7-13 years from three primary schools in Xihu District, Nanchang City, Jiangxi Province from May to July, 2023. The average daily outdoor activity time and sleep duration on both weekdays and weekends were investigated in primary school students by using a self designed questionnaire. Uncorrected visual acuity tests and non cycloplegic autorefraction were measured by professional optometrists. Inter group comparisons were conducted using the Chi square test. Logistic regression model was used to analyze the association of outdoor activity time and sleep duration with screening myopia. Results: The detection rate of screening myopia in primary school students was 33.6%, with the rate in boys (32.0%) lower than that in girls (35.3%), and the difference was statistically significant ( χ 2=5.11, P =0.02). The analysis results of Logistic regression showed that after adjusting for factors such as gender, grade and parental education level, both average daily outdoor activity time ＜2 h on both weekdays and weekends ( OR =1.27, 95% CI =1.11-1.46) and sleep duration <10 h ( OR =1.17, 95% CI =1.01- 1.35 ), as well as their combined effect ( OR =1.57, 95% CI =1.25-1.98), were associated with an increased risk of screening myopia in primary school students(all P <0.05). Subgroup analysis results indicated that compared to boys ( OR =1.46, 95% CI = 1.07 -1.99), girls( OR =1.73, 95% CI =1.22-2.44) with insufficient outdoor activity time and sleep duration had a higher risk of screening myopia(both P <0.05). Conclusions There is a negative correlation of outdoor activity time and sleep duration with screening myopia in primary school students. Outdoor activity time and extending sleep duration should be increased to reduce the risk of myopia in primary school students.

Objective: To determine the association between exposure to entertainment screen content on mobile phones and symptoms of anxiety-depression co-morbidity among college students,so as to provide evidence for mental health interventions. Methods: A baseline survey was conducted from April to May 2019. A total of 1 135 college students were selected from one university each in Shangrao City, Jiangxi Province and Hefei City, Anhui Province using cluster random sampling method. A follow up study was conducted in November 2019, resulting in 1 110 matched valid responses. Self rating questionnaires were used to assess the exposure of entertainment screen content. The Depression Anxiety Stress Scale-21(DASS-21) and the Patient Health Questionnaire-9 (PHQ-9) were used to evaluate the anxiety symptoms, depressive symptoms, and symptoms of anxiety-depression co-morbidity among college students. A multivariate binary Logistic regression model was constructed following initial intergroup comparisons with Chi-square test to determine the association between baseline exposure to mobile entertainment screen content and the risk of symptoms of anxiety depression co-morbidity at baseline and the 6 month follow up. Results: The prevalence rates of symptoms of anxiety-depression co-morbidity among college students were 25.4% and 20.6% at baseline and follow up, respectively.After adjusting for confounding factors such as gender, self rated family economic status and self rated health status, the results of multivariate binary Logistic regression analysis showed that compared with the appropriate exposure level group, the exposure of entertainment screen content on mobile phones at baseline, including frequent exposure to reading( OR =1.65,95% CI =1.14-2.39), occasional exposure to other entertainment screen content ( OR =1.46,95% CI =1.01-2.10)and frequent exposure to other entertainment screen content( OR =1.76,95% CI =1.20-2.60), increased the co-occurrence risk of symptoms of anxiety-depression co-morbidity among college students during the follow up period (all P <0.05). Conclusion Occasional or frequert exposure to mobile entertainment screen content can increase the risk of symptoms of anxiety depression co-morbidity among college students.

Objective: To investigate the association between screening detected myopia in primary school students and mixed exposure to air pollutants, so as to provide a scientific basis for the prevention and control of myopia in children and adolescents. Methods: From May to July 2023, a cluster random sampling method was used to select 15 102 primary school students in grades 3 through 6 from Hefei, Zhongshan, Shenyang, and Nanchang citys. Data were collected through questionnaires, distance vision screening, and computerized refraction. Monthly average concentration data for particulate matter (PM 10 ), fine particulate matter (PM 2. 5), NO 2 and SO 2 were used to calculate the annual average pollutant concentrations for primary school students. Quantile g computation model was employed to analyze the association between mixed exposure to air pollutants and screening detected myopia. Results: The differences in concentrations of the four pollutants among cities were statistically significant ( H =12 886.0, 13 285.0, 8 559.0, 13 181.0, all P <0.01). In the overall sample, there was no statistically significant association between combined exposure to air pollutants and the risk of myopia ( β=0.033, 95%CI=-0.004-0.072, P =0.08). Stratified analysis by outdoor activity time showed that among primary school students with outdoor activity time ≤1 h/d, mixed exposure to air pollutants was positively associated with the risk of myopia ( β=0.050, 95%CI=0.002-0.099, P =0.04); after stratification by city, combined exposure to air pollutants was significantly associated with the risk of myopia among primary school students in Nanchang and Shenyang [ β (95% CI )= 0.232(0.175-0.289), 0.080(0.006-0.155), both P <0.05], whereas no statistically significant association was observed among primary school students in Hefei and Zhongshan [ β (95% CI )=-0.010(-0.071-0.051), -0.032(-0.167-0.102), both P ＞ 0.05 ]. Conclusions Exposure to multiple air pollutants may increase the risk of myopia in primary school students, with the risk influenced by time spent outdoors and geographical location. It is recommended that outdoor activity management for children be strengthened in areas with higher air pollution levels, and that environmental factors be incorporated into comprehensive myopia prevention and control strategies.

Objective:To explore the relationship between parenting styles of toddlers aged 30 months and attention deficit hyperactivity disorder (ADHD) symptom trajectories in preschool children.Methods:The subjects were 2 111 children and their parents in Ma'anshan Birth Cohort. Parenting styles were assessed at 30 months of age using the Brief Toddler Parenting Style Questionnaire, which defines parenting styles on four dimensions: warmth and interaction, attention and acceptance, outdoor and social activities, and neglect and restrictions. The Chinese version of the Conners Abbreviated Symptom Questionnaire was used to examine preschooler's ADHD symptoms aged 3, 5, and 6 years. ADHD symptom trajectories were fitted using group-based trajectory modeling. The multinomial logistic regression model was used to evaluate the relationship between parenting styles at 30 months of age and ADHD symptom trajectories in children. The additive and multiplicative models were applied to analyze the interaction effect of negative parenting styles in children's ADHD symptom trajectories.Results:ADHD symptom trajectories in children included the low-score (48.3%), moderate-score (47.7%), and high-score groups (4.0%). After adjusting for the confounding factors, the results of the multinomial logistic regression analysis showed that negative parenting styles of the father/mother were associated with ADHD symptom trajectories in children ( P<0.05). The father/mother's low warmth and interaction (father: OR=2.07,95% CI:1.68-2.54; mother: OR=2.02,95% CI:1.64-2.48), low attention and acceptance (father: OR=1.94,95% CI:1.57-2.39; mother: OR=1.47,95% CI:1.20-1.81), low outdoor and social (father: OR=1.74,95% CI:1.43-2.13; mother: OR=1.60,95% CI:1.32-1.94), and high neglect and restriction (father: OR=2.09,95% CI:1.67-2.62; mother: OR=2.06,95% CI:1.65-2.56) were associated with ADHD symptom moderate-score trajectories compared to the low-score trajectory group, mother's low warmth and interaction, low outdoor and social, and high neglect and restrictions. Statistically significant association was seen in negative parenting styles of fathers with the high-score group. There was a multiplicative interaction for hostile parenting ( P<0.05). The additive interaction results showed that there was a synergistic effect of hostile parenting, which increased the risk of the high-score trajectories of ADHD symptoms in children. Conclusions:Both parents' parenting styles influenced ADHD symptom change the trajectories in preschoolers. Negative parenting styles of the father/mother increase the risk of the moderate-score and high-score trajectories of ADHD symptoms in children. Hostile parenting by both parents has a synergistic impact on the risk of ADHD symptom trajectories in children, and the simultaneous presence of both increases the risk of the high-score trajectory of ADHD symptoms.

Multimorbidity of common diseases in children and adolescents refers to the coexistence of two or more common diseases or chronic health problems in the same individual. In recent years, the multimorbidity of common diseases in children and adolescents has become increasingly serious, which has enormously increased disease burden and socio-economic losses. These diseases typically share similar influencing factors, such as adverse environmental factors, unhealthy diets, lack of outdoor activities and physical exercise, sedentary lifestyle, excessive use of electronic devices, and disturbed sleep rhythms. Multidimensional interventions targeting these factors are effective methods of preventing and controlling multimorbidity of common diseases in children and adolescents. This review summarizes the public health burden, epidemiological data, risk factors, and interventions for multimorbidity of common diseases in children and adolescents to strengthen relevant research, develop effective intervention strategies, reduce the disease burden of children and adolescents, and promote their healthy growth.

Objective:To explore the direction of the association between smartphone multitasking behavior and comorbid symptoms of anxiety and depression (CAD) among college students.Methods:College students from one college located in Shanxi, Chongqing, and Shenzhen were selected between October and December 2021 using a multistage random cluster sampling method, and a follow-up visit was conducted in May 2022. The Assessment of Smartphone Multitasking for Adolescents, the Patient Health Questionnaire-9 Items, and the Generalized Anxiety Disorder Questionnaire-7 Items were used to assess the smartphone multitasking behaviors and CAD of college students. Multivariate logistic regression models were used to analyze the associations between smartphone multitasking behavior and CAD. Autoregressive cross-lagged models (ARCLM) were used to analyze the bidirectional associations between smartphone multitasking behavior and CAD.Results:A total of 953 college students were included in this study, including 323 (33.9%) males and 630 (66.1%) females, with an age of (18.89±1.33) years. The detection rates of CAD at baseline and follow-up were 25.5% and 27.5%, respectively. The mean of the total smartphone multitasking index at baseline was 2.11±0.48. The mean of smartphone and non-media activity multitasking index was 2.00±0.55. The mean of smartphone and other media activity multitasking index was 1.92±0.67. The mean of smartphone functional use multitasking index was 2.18±0.54. The multivariate logistic regression models showed that smartphone and non-media activity multitasking index ( OR=1.85, 95% CI: 1.39-2.45), smartphone and other media activity multitasking index ( OR=1.42, 95% CI: 1.10-1.83), and total smartphone multitasking index ( OR=1.66, 95% CI: 1.21-2.28) were positively associated with the risk of CAD among college students at baseline. The smartphone and non-media activity multitasking index ( OR=1.74,95% CI: 1.30-2.32), smartphone and other media activity multitasking index ( OR=1.37, 95% CI: 1.04-1.79) and total smartphone multitasking index ( OR=1.48, 95% CI: 1.06-2.06) were positively associated with the risk of CAD at follow-up. There was no statistical association between smartphone functional use multitasking index at baseline and CAD. The ARCLM showed that smartphone and non-media activity multitasking index ( β=0.974, P=0.029), smartphone and other media multitasking index ( β=0.798, P=0.003), and the total smartphone multitasking index ( β=1.379, P=0.011) at baseline could positively predict the risk of CAD at follow-up. The CAD at baseline could positively predict smartphone and other media multitasking index ( β=0.004, P=0.016) and smartphone functional use multitasking index at follow-up ( β=0.004, P=0.016). Conclusion:There is a bidirectional association between smartphone and other media activity multitasking and CAD among college students.

Abstract The issue of multimorbidity in children and adolescents is becoming increasingly prominent, but there is no consensus on the definition of multimorbidity. As research deepens, issues related to the comparability and standardization of relevant findings are gradually emerging. As a solution, a systematic review of both domestic and international research on multimorbidity is conducted, and a classification system for defining the concept of multimorbidity is proposed, offering more convenient conditions for the advancement of future research and cross study exchange.

Objective: To analyze the association and dose response relationship between physical activity and inflammatory markers in college students, so as to provide a reference for promoting cardiometabolic health in college students. Methods: A cluster random sampling method was used to select 747 college students from two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province from April to May 2019. Physical activity was assessed by using the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and peripheral blood was collected to detect plasma inflammatory factor levels [including hypersensitive C reactive protein (hsCRP), interleukin-10 (IL-10), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α)]. The differences between the groups were compared by using the χ 2 test and the Kruskal-Wallis rank sum test, and the association between physical activity and inflammatory markers was analyzed by using the Generalized Linear Model. The dose response relationship between physical activity and inflammatory markers was analyzed using the Restricted Cubic Spline Model. Results: The proportions of low physical activity, moderate physical activity, and high physical activity groups of college students were 15.9%, 53.7% and 30.4%, respectively. The levels of hsCRP, IL-10, IL-1β, IL-6 and TNF-α in the high physical activity group were 0.38(0.21, 1.10)mg/L, 70.74(47.90, 116.43)pg/mL, 1.75(1.21, 2.64)pg/mL, 4.33(2.93, 6.82) pg/mL , 5.27(3.89, 7.30)pg/mL,the levels in the low physical activity group were 0.80(0.31, 1.30)mg/L, 73.88 (47.90, 124.24)pg/mL, 1.88(1.42, 2.81) pg/mL, 4.82 (3.64, 6.67) pg/mL, 5.63 (4.34, 7.62)pg/mL, the levels in the moderate physical activity group were 0.63(0.25, 1.30)mg/L, 89.78(58.21, 127.65)pg/mL, 2.21(1.59, 3.27)pg/mL, 5.15( 3.72 , 7.72)pg/mL, 5.87( 4.63 , 8.00)g/mL, and the differences were statistically significant ( H=10.66, 11.38, 27.79, 14.13, 9.44, P <0.05). After adjusting for variables such as gender, body mass index, smoking, alcohol consumption and health status, the results of Generalized Linear Model showed that compared with the high physical activity group, the low physical activity group ( OR=2.20, 95%CI = 1.46- 3.31) and the moderate physical activity group ( OR=1.65, 95%CI =1.22-2.25) were more likely to have high levels of hsCRP, and the moderate physical activity group was more likely to have high levels of IL-1β ( OR=1.85, 95%CI =1.36-2.51), IL-6 ( OR=1.44, 95%CI =1.06-1.96), and TNF-α ( OR=1.43, 95%CI =1.05-1.94) ( P <0.05). The Restricted Cubic Spline Model showed that there was no linear dose response relationship between the time of moderate to vigorous physical activity weekly and IL-10, IL-6, II-1β, and TNF-α ( P <0.05). Conclusion There is an association between physical activity and inflammation in college students, and moderate to high intensity per week could reduce inflammation levels to promote cardiometabolic health in college students.

Objective:To explore the relationship between parenting styles of toddlers aged 30 months and attention deficit hyperactivity disorder (ADHD) symptom trajectories in preschool children.Methods:The subjects were 2 111 children and their parents in Ma'anshan Birth Cohort. Parenting styles were assessed at 30 months of age using the Brief Toddler Parenting Style Questionnaire, which defines parenting styles on four dimensions: warmth and interaction, attention and acceptance, outdoor and social activities, and neglect and restrictions. The Chinese version of the Conners Abbreviated Symptom Questionnaire was used to examine preschooler's ADHD symptoms aged 3, 5, and 6 years. ADHD symptom trajectories were fitted using group-based trajectory modeling. The multinomial logistic regression model was used to evaluate the relationship between parenting styles at 30 months of age and ADHD symptom trajectories in children. The additive and multiplicative models were applied to analyze the interaction effect of negative parenting styles in children's ADHD symptom trajectories.Results:ADHD symptom trajectories in children included the low-score (48.3%), moderate-score (47.7%), and high-score groups (4.0%). After adjusting for the confounding factors, the results of the multinomial logistic regression analysis showed that negative parenting styles of the father/mother were associated with ADHD symptom trajectories in children ( P<0.05). The father/mother's low warmth and interaction (father: OR=2.07,95% CI:1.68-2.54; mother: OR=2.02,95% CI:1.64-2.48), low attention and acceptance (father: OR=1.94,95% CI:1.57-2.39; mother: OR=1.47,95% CI:1.20-1.81), low outdoor and social (father: OR=1.74,95% CI:1.43-2.13; mother: OR=1.60,95% CI:1.32-1.94), and high neglect and restriction (father: OR=2.09,95% CI:1.67-2.62; mother: OR=2.06,95% CI:1.65-2.56) were associated with ADHD symptom moderate-score trajectories compared to the low-score trajectory group, mother's low warmth and interaction, low outdoor and social, and high neglect and restrictions. Statistically significant association was seen in negative parenting styles of fathers with the high-score group. There was a multiplicative interaction for hostile parenting ( P<0.05). The additive interaction results showed that there was a synergistic effect of hostile parenting, which increased the risk of the high-score trajectories of ADHD symptoms in children. Conclusions:Both parents' parenting styles influenced ADHD symptom change the trajectories in preschoolers. Negative parenting styles of the father/mother increase the risk of the moderate-score and high-score trajectories of ADHD symptoms in children. Hostile parenting by both parents has a synergistic impact on the risk of ADHD symptom trajectories in children, and the simultaneous presence of both increases the risk of the high-score trajectory of ADHD symptoms.

Multimorbidity of common diseases in children and adolescents refers to the coexistence of two or more common diseases or chronic health problems in the same individual. In recent years, the multimorbidity of common diseases in children and adolescents has become increasingly serious, which has enormously increased disease burden and socio-economic losses. These diseases typically share similar influencing factors, such as adverse environmental factors, unhealthy diets, lack of outdoor activities and physical exercise, sedentary lifestyle, excessive use of electronic devices, and disturbed sleep rhythms. Multidimensional interventions targeting these factors are effective methods of preventing and controlling multimorbidity of common diseases in children and adolescents. This review summarizes the public health burden, epidemiological data, risk factors, and interventions for multimorbidity of common diseases in children and adolescents to strengthen relevant research, develop effective intervention strategies, reduce the disease burden of children and adolescents, and promote their healthy growth.