Objective: To understand the current status and associated factors of sleep problems among preschool children in Hainan Province, so as to provide scientific evidence for improving sleep health in this population. Methods: From January 2021 to June 2022, a total of 4 105 preschool children aged 3-6 years from 62 kindergartens in Hainan Province were selected using stratified cluster random sampling method. Demographic information and lifestyle habits were collected through the Hainan Province Child Growth and Development Survey Questionnaire. The Children s Sleep Habits Questionnaire (CSHQ) was employed to assess sleep status. Unconditional binary Logistic regression model was applied to investigate the associated factors of sleep problems among preschool children. Results: The overall CSHQ score for children was 58.03±18.84, with 80.95% of preschool children exhibiting sleep related issues. The top three most prevalent sleep problem domains were bedtime resistance (72.42%), sleep anxiety ( 54.88 %), and parasomnias (38.86%). Logistic regression analysis revealed that higher family annual income ( OR=0.60, 95%CI = 0.45-0.79), higher maternal education level ( OR=0.53, 95%CI =0.32-0.89), regular or daily vitamin D supplementation ( OR=0.77, 95%CI =0.60-0.99), and fully self initiated eating behavior ( OR=0.71, 95%CI =0.59-0.85) were negatively related with children s sleep problems; in addition, screen exposure ( OR=1.27, 95%CI =1.06-1.51) and picky eating ( OR= 1.47 , 95%CI =1.21-1.78) were positively related to children s sleep problems (all P <0.05). Conclusion The high detection rate of sleep problems among preschool children in Hainan Province is multifactorially associated with family environment, dietary habits, and lifestyle behaviors.

Objective To investigate the serum expression level of miR-182-5p in patients with chronic heart failure(CHF),and analyze its correlation with left ventricular remodeling and prog-nosis.Methods A total of 138 CHF patients admitted to Liaocheng People's Hospital from Janu-ary 2019 to December 2021 were enrolled as CHF group,and another 120 healthy volunteers who took physical examinations at the same time served as the healthy group.The expression level of miR-182-5p in serum was detected in the two groups.Pearson analysis was used to analyze the correlation between its expression level and left ventricular remodeling.ROC curve was plotted to analyze the diagnostic value of miR-182-5p expression level.During 1 year of follow-up,their sur-vival status was collected and analyzed in the CHF patients.The prognostic value of miR-182-5p expression level was evaluated by Kaplan-Meier survival curve.Results The CHF patients had significantly lower LVEF value,but higher left ventricular remodeling index(LVRI)and miR-182-5p expression level than the healthy group(P＜0.05,P＜0.01).The expression level of miR-182-5p was negatively correlated with LVEF(r=-0.496,P=0.000)and positively with LVRI(r=0.460,P=0.000).The AUC value of miR-182-5p expression level in diagnosing CHF was 0.964,the cutoff value was 0.905,the sensitivity was 91.3％,and the specificity was 86.7％.Kaplan-Meier survival curve analysis showed that the high expression level of miR-182-5p could predict the overall survival of CHF patients(P=0.039).Conclusion The expression level of miR-182-5p is higher in CHF patients than healthy people,and the patients with higher level indi-cate more serious left ventricular remodeling.Detecting the expression level of miR-182-5p is help-ful for the diagnosis and poorgnosis prediction of CHF patients.

Objective: To investigate the screen exposure status and influencing factors among 6-12 year-old children in Hainan Province, so as to provide insights into screen exposure intervention for children. Methods: Children aged 6-12 years from 18 counties (cities) in Hainan Province were selected using multi-stage stratified cluster sampling method from December 2020 to July 2021. Demographic information, parents' educational level, family type and screen time was collected using questionnaire surveys. The screen exposure rate of children was analyzed, and factors affecting screen exposure were identified using a multivariable logistic regression model. Results: A total of 27 501 children were surveyed, including 13 901 boys (50.55%) and 13 600 girls (49.45%). The mean age was (9.22±1.86) years. Among them, 3 925 children had screen exposure, with a screen exposure rate of 14.27%. Multivariable logistic regression analysis showed that gender (female, OR=0.859, 95%CI: 0.796-0.926), age (OR=1.078, 95%CI: 1.049-1.108), ethnicity (ethnic minorities, OR=1.147, 95%CI: 1.041-1.254), place of residence (rural area, OR=0.869, 95%CI: 0.801-0.944), father's educational level (high school or technical secondary school, OR=0.879, 95%CI: 0.788-0.981; college degree or above, OR=0.686, 95%CI: 0.589-0.818), mother's educational level (college degree or above, OR=0.706, 95%CI: 0.588-0.846), family type (others, OR=1.250, 95%CI: 1.105-1.414), and annual family income (>100 000 Yuan, OR=0.741, 95%CI: 0.619-0.885) were the influencing factors for screen exposure among children aged 6-12 years. Conclusion The screen exposure among children aged 6-12 years in Hainan Province was affected by gender, age, ethnicity, place of residence, parental education level, family type and annual family income.