Objective: To investigate the distribution of various types of screen time and examine the association of screen time with psychological and behavioral development problems in children aged 3-6 years, so as to provide scientific basis for children s screen use and mental health promotion. Methods: A total of 3 875 mother child dyads who completed the follow up in Shanghai Maternal-Child Pairs Cohort were included. The daily usage time of children s tablet, mobile phone, TV, projectors, and other types of screens were obtained in questionnaire survey. Children s psychological and behavioral development problems were evaluated by Age-Stage Questionnaire, Third Edition (ASQ-3) and Strengths and Difficulties Questionnaire (Parent version) (SDQ). The Chi-square test, Mann Whitney U and Kruskal Wallis rank sum test were used to compare the detection rate of psychological and behavioral development problems and screen time in children with different characteristics. Multivariate binary Logistic regression was used to analyze the association of screen time with psychological and behavioral development problems. Results: There were 49.91% of children having screen time more than 1 h/d. Children s TV, tablet and mobile phone screen time were 0.39(0.25, 0.96 ), 0.25(0,0.61) and 0.18(0,0.25) h/d. The detection rates of suspected developmental delay in fine motor, problem solving and personal-social domains and pro social behavior deficiency and externalizing behaviors in boys (8.54%, 6.77%, 5.46%, 30.07 %, 27.39%) were higher than that in girls (4.64%, 4.85%, 2.48%, 22.10%, 22.36%) ( χ 2=23.76, 6.49, 22.37, 31.81, 13.06, P <0.05). There were statistically significant differences in the detection rates of suspected developmental delay in communication, fine motor and problem solving, as well as internalizing behavior and externalizing behavior of children with different parents educational levels ( χ 2=14.37, 15.18, 21.10, 11.66, 9.27; 16.34, 26.75, 32.89, 16.97, 6.37, P <0.05). There were significant differences in the detection rates of suspected developmental delay in problem solving, prosocial behavior deficiency, internalizing behavior and externalizing behavior of children whose mothers had anxiety/depression symptoms during pregnancy ( χ 2= 5.61 , 9.05, 21.90, 7.17; 8.75, 6.06, 12.76 , 5.55, P <0.05). The average total screen time of boys was longer than that of girls (1.07, 1.00 h/d, Z=-2.08, P =0.04). Compared with children with other educational levels of their parents, the total screen time, mobile phone and TV screen time of children whose parents had college education or above were short (father: H =42.01, 44.49 , 21.24, mother: H =42.31, 39.21 , 26.47, P <0.01). Among all types of screen time, mobile phone screen time had the most impact on psychological and behavioral development. More mobile phone screen time increased the risk of suspected developmental delay and abnormal emotional behavior ( P < 0.05). Screen time of tablet, mobile phone and TV were positively correlated with externalizing behavior ( OR=1.36, 1.57, 1.27 , P <0.05). Conclusions Screen time is related to children s psychological and behavioral development problems and mobile phones affect the most. Parents should limit their children s screen time to avoid excessive screen time affecting their psychological and behavioral development.

Objective: To evaluate the characteristics and related factors of physical activities both inside and outside the kindergarten among preschool children, so as to provide a reference for promoting targeted physical activities among different types of children in the future. Methods: From April 2016 to December 2022, 706 preschool children aged 3 to 6 years from the Shanghai parent child cohort followed up. Accelerometers were used to measure their physical activities during kindergarten hours, and a parent questionnaire was employed to assess their physical activities and screen time outside the kindergarten. Restrictive cubic spline analysis was used to examine the relationship between moderate to vigorous physical activities (MVPA) inside and outside the kindergarten. Cluster analysis was performed to identify physical activity patterns among children, and multinomial Logistic regression analysis was conducted to explore the influencing factors of these physical activity patterns. Results: On weekdays, preschooler accumulated an average of (40.83±15.71) minutes of MVPA inside the kindergarten and 30(15, 53) minutes outside daily. Restricted cubic spline analysis revealed an inverted U shaped relationship between MVPA inside and outside the kindergarten. Cluster analysis identified four groups: low daily MVPA but active inside (196, 27.8%), moderate daily MVPA but high screen time outside (97, 13.7%), adequate daily MVPA and relatively active outside (96, 13.6%), and low daily MVPA and relatively inactive both inside and outside (317, 44.9%). Compared to the reference group of adequate daily MVPA and relatively active outside, children with screen time exceeding 60 minutes at 2 years old were more likely to belong to the group with adequate daily MVPA but more screen time outside ( OR =3.84, 95% CI =1.16-12.74, P <0.05). Boys had a lower likelihood of being in the group with low daily MVPA and relatively inactive both inside and outside ( OR =0.33, 95% CI =0.16-0.70, P <0.05). Children from neighborhoods with insufficient sport facilities were more likely to be in the low daily MVPA and relatively inactive group ( OR =2.20, 95% CI = 1.05 -4.63, P <0.05). Conclusions Behavior patterns of physical activity and screen time for both inside and outside the kindergarten vary greatly among different children. Screen time at the age of 2 and the sports facilities around the commuinty are key factors influencing the physical activity pattern. It is recommended to implement personalized intervention plans in collaboration with schools and families for different types of children.

Objective: To explore the related factors of myopia among children and adolescents in Yunnan Province, and to predict and evaluate the influencing factors, so as to provide a scientific theoretical basis for the prevention and control of myopia. Methods: From March 9 to 14, 2023, 848 students from 6 primary and secondary schools in Dali and Lijiang of Yunnan Province were selected by multi stage stratified random cluster sampling method for visual acuity detection and questionnaire survey on myopia related factors. Multivariate Logistic regression analysis was used to establish a Nomogram prediction model for the selected influencing factors. Results: The overall myopia rate of the respondents was 68.3%, the myopia rate of boys (63.4%) was lower than that of girls (72.9%), and the myopia rate of primary school students (46.7%) was lower than that of junior high school students (81.1%), and the difference was statistically significant（ χ 2=8.71, 108.07, P <0.05). Daily eye exercises, activities outside the teaching building during recess, having daily sleep time of 7-9 and >9 h, having both parents without myopia were negatively correlated with the occurrence of myopia in children and adolescents in Yunnan Province ( OR=0.64, 0.63, 0.56, 0.28, 0.48, P < 0.05 ). The reading and writing time after school ≥3 h per day and parents unrestricted time to play video games were positively correlated with myopia ( OR=1.94, 1.78, P <0.05). Based on the influencing factors, a Nomogram prediction model was established to quantitatively evaluate the risk of myopia. The results showed that greater risk for myopia was associated with sleep duration, parental history of myopia, and the time spent reading and writing after school every day. Conclusion Both genetic factors and environmental factors are related to myopia in children and adolescents. The prediction model of nomogram is beneficial for screening high risk factors of myopia and taking corresponding prevention and treatment measures.

The construction of healthy schools is one of the key measures to implement the Outline of the Healthy China 2030 Plan. The establishment and implementation of the Guidelines for Healthy Primary and Secondary School Evaluation （Guidelines） is helpful for the large-scale promotion and standardization of healthy school construction by government departments in Shanghai and other major cities in China， thereby more students benefited from the Healthy China Initiative. The Guidelines integrate the efforts of multiple departments related to school health， based on internationally recognized content and strategies for health-promoting schools. They aim to foster students’ health development by combining the basic requirements for school health with priority projects for health promotion. Healthy school evaluation indicators and standardized requirements suitable for the current socio-economic development level of Shanghai have been developed， aligning with international concepts of health-promoting schools. They also reflect a high starting point and high level of investment and development in school health in Shanghai over the past decade. The Guidelines provide recommendations on the basic requirements， organization guarantees and management， social and culture environment， health promotion education， health services， and connection between school and communities， and families， of healthy school evaluation for primary and secondary schools. This paper aims to interpret the compilation process and main content of the Guidelines.

ObjectiveTo study the changes of body composition indexes reflecting muscle condition for stroke hemiplegic patients after isokinetic strength training. MethodsFrom January, 2021 to April, 2022, 30 stroke inpatients with hemiplegia in Beichen Hospital of Nankai University were randomly divided into control group (n = 15) and isokinetic group (n = 15). Both groups accepted routine rehabilitation training, while the isokinetic group accepted isokinetic strength training of shoulder and elbow on the affected side in addition. All patients were tested the lean body mass, affected upper arm muscle circumference, affected upper limb muscle mass, edema index, skeletal muscle index before, and two weeks and four weeks after training. ResultsCompared with the control group, the edema index decreased in isokinetic group after training (t > 2.536, P < 0.05); the affected upper limb muscle mass increased more in the isokinetic group four weeks after training (t = -2.750, P = 0.010). ConclusionIsokinetic training can reduce edema and muscular disuse atrophy of the affected side for stroke patients with hemiplegia.