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Introduction: The prevalence of cognitive impairment and dementia in the older population is increasing, and thereby, early detection of cognitive decline is essential for effective intervention. Methods: This study included 2,288 participants with normal cognitive function from the Ma'anshan Healthy Aging Cohort Study. Forty-two potential predictors, including demographic characteristics, chronic diseases, lifestyle factors, anthropometric indices, physical function, and baseline cognitive function, were selected based on clinical importance and previous research. The dataset was partitioned into training, validation, and test sets in a proportion of 60% for training, 20% for validation, and 20% for testing, respectively. Recursive feature elimination was used for feature selection, followed by six machine learning algorithms that were employed for model development. The performance of the models was evaluated using area under the curve (AUC), specificity, sensitivity, and accuracy. Moreover, SHapley Additive exPlanations (SHAP) was conducted to access the interpretability of the final selected model and to gain insights into the impact of features on the prediction outcomes. SHAP force plots were established to vividly show the application of the prediction model at the individual level. Results: The final predictive model based on the Naive Bayes algorithm achieved an AUC of 0.820 (95% CI, 0.773–0.887) on the test set, outperforming other algorithms. The top ten influential features in the model included baseline Mini-Mental State Examination (MMSE), education, self-reported economic status, collective or social activities, Pittsburgh sleep quality index (PSQI), body mass index, systolic blood pressure, diastolic blood pressure, instrumental activities of daily living, and age. The model demonstrated the potential to identify individuals at a higher risk of cognitive impairment within 3 years from older adults. Conclusion: The predictive model developed in this study contributes to the early detection of cognitive impairment in older adults by primary healthcare staff in community settings. [ABSTRACT FROM AUTHOR]

To investigate the prevalence of male circumcision and the willingness to undergo male circumcision and influencing factors among MSM in Maanshan City, we conducted a cross-sectional study from June 2016 to December 2019. Respondent-driven sampling (RDS) was used to recruit participants. Influential factors of willingness to accept circumcision were identified by a multivariable logistic regression model. The multivariable logistic regression model revealed that five variables were independent influential factors for willingness to participate. The factors include that used condoms during last anal intercourse (OR = 1.87, 95% CI:1.03–3.41, P = 0.04), sex with female sex partners (OR = 0.499, 95% CI:0.298–0.860, P = 0.012, level of education (junior college: OR = 0.413, 95% CI:0.200–0.854, P = 0.017; bachelor's degree or higher: OR = 0.442, 95% CI:0.208–0.938, P = 0.033), condom use during oral sex in the last six months (OR = 4.20, 95% CI:1.47–12.0, P = 0.007) and level of knowledge of PrEP (OR = 5.09, 95% CI:1.39–18.7, P = 0.014). Given the willingness of MSM to accept circumcision was low in China, establishing a proper understanding of circumcision is essential if it is to be used as a strategy to prevent HIV infection among MSM. Therefore, publicity and education on the operation should be strengthened to increase the willingness to undergo male circumcision. [ABSTRACT FROM AUTHOR]

The impact of adverse childhood experiences (ACEs) on adult health has been extensively examined, but the association between ACEs and sleep, emotion, behavior and academic outcomes of children and adolescents is not well known. A total of 6363 primary and middle school students were included to examine the effect of ACEs on sleep quality, emotional and behavioral problems and academic achievement and further explore the mediation role of sleep quality and emotional and behavioral problems. Children and adolescents with ACE exposure had 1.37 times risk of poor sleep quality (adjusted odds ratio [OR] = 1.37, 95% confidence interval [CI]: 1.21–1.55), 1.91 times risk of emotional and behavioral problems (adjusted OR = 1.91, 95%CI: 1.69–2.15) and 1.21 times risk of self-reported lower academic achievement (adjusted OR = 1.21, 95%CI: 1.08–1.36). Most types of ACEs were significantly associated with poor sleep quality, emotional and behavioral problems and lower academic achievement. There were dose-response relationships between cumulative ACE exposure and risk of poor sleep quality, emotional and behavioral problems, and lower academic achievement. Sleep quality and emotional and behavioral performance mediated 45.9% of the effect of ACEs exposure on math scores and 15.2% of the effect of ACEs exposure on English scores. Early detection and prevention of ACEs among children and adolescents are urgent and essential, and targeted interventions for sleep and emotional and behavioral performance as well as early educational interventions are recommended for children with ACEs exposure. [ABSTRACT FROM AUTHOR]

Increasing studies have investigated inflammatory burden of adults with childhood adversity, but less is known about how childhood maltreatment affects the inflammation level of adolescents. Baseline data of a school cohort of physical and mental health status and life experience survey on primary and secondary school students in Anhui Province, China was used. Childhood maltreatment of children and adolescents was assessed by Chinese version of Childhood Trauma Questionnaire-Short Form (CTQ-SF). Urine samples were collected to assess levels of soluble urokinase Plasminogen Activator Receptor (suPAR), C-reactive protein (CRP) and cytokines interleukin-6 (IL-6) by enzyme-linked immunosorbent assay (ELISA). Logistic regression was conducted to examine the association between childhood maltreatment exposure and risk of high inflammation burden. A total of 844 students were included with mean age 11.41 ± 1.57 years old. Adolescents with emotional abuse were significantly more likely to have high level of IL-6 (OR = 3.59, 95% CI 1.16–11.14). In addition, adolescents with emotional abuse were more likely to show high IL-6 and high suPAR combination (OR = 33.41, 95% CI 1.69–659.22), and high IL-6 and low CRP combination (OR = 4.34, 95% CI 1.29–14.55). Subgroup analyses showed that emotional abuse was associated with high IL-6 burden among boys or adolescents with depression. Childhood emotional abuse was positively associated with higher burden of IL-6. Early detection and prevention of emotional abuse for children and adolescents, especially for boys or adolescents with depression status, may be helpful for preventing elevated inflammatory burden and related health problems. [ABSTRACT FROM AUTHOR]

This study aimed to examine the association between nighttime sleep duration and emotional and behavioral problems (EBPs) among rural preschool children. This longitudinal study including 1595 preschool children aged 3–6 years from 26 kindergartens in four counties was conducted in Anhui Province rural areas. Cross-lagged panel models and multivariable logistic regressions were performed to examine the bidirectional association between nighttime sleep duration and EBPs and further explore the predictive effect of nighttime sleep duration on EBPs. Compared to baseline, preschool children at follow-up had significantly more nighttime sleep duration (10.01 ± 0.68 vs. 10.15 ± 0.69) and lower EBPs (total difficulties: 15.8% vs. 11.2%; prosocial behavior problems: 12.4% vs. 7.0%). Results of cross-lagged panel models indicated that nighttime sleep duration was a predictor for EBPs, but not vice versa. Results of logistic regression analysis showed that each 1-h increase in nighttime sleep duration at T1 was associated with a 0.77-fold reduction in the risk of total difficulties at T2 (the most adjusted OR = 0.774, 95% CI 0.607–0.988, P = 0.040), but not with the prosocial behavior. Interestingly, the predictive effect of nighttime sleep duration at T1 on EBPs at T2 was only found in girls, children aged 3 years and children with lower maternal education. The decreased nighttime sleep duration may predict future EBPs, especially in girls, younger preschool children and children with lower maternal education. Extending sleep duration may improve EBPs in preschool children. [ABSTRACT FROM AUTHOR]

This study aimed to explore the association between family function and sleep disturbances in preschool children in rural areas of China. Caregivers of preschool children completed sociodemographic questionnaires, the Children's Sleep Habits Questionnaire (CSHQ), the Self-rating Anxiety Scale (SAS) and the Family APGAR scale. Using sleep disturbances in children as the dependent variable, family function and other related factors as independent variables, binary logistic regression analyses were performed to examine associations between family function and sleep disturbances in children. A total of 3,636 caregivers of preschool children were enrolled in our study, and the prevalence of sleep disturbances among their preschool children was 89.4%. In our study, lower family function was associated with higher risk of sleep disturbances among preschool children. After adjusting for age (years), education level of mother, discipline attitudes of father and mother, only child status and caregivers' anxiety, the associations were statistically significant both in families of which caregivers of children are their parents or other relatives. (AOR for parents = 1.487, 95% CI:1.152–1.919, P = 0.002; AOR for other relatives = 1.963, 95% CI:1.302–2.958, P = 0.001). Our study results indicated that family function was associated with sleep disturbances in preschool children, and future high-quality cohort studies are needed to explore this topic in more detail. [ABSTRACT FROM AUTHOR]