Falls are the leading cause of accidental injury deaths among the elderly. Currently, the incidence and disease burden of falls among the elderly remain high. By understanding the influencing factors of falls among the elderly and formulating targeted preventive measures, the risk of falls can be effectively reduced. Studies have found that falls among the elderly are results of the interaction of multiple factors. When formulating fall prevention strategies, attention should be paid to fall risk assessment and stratification, fall prevention exercise support and health education, living environment improvement, and primary healthcare service enhancement. Reviewing publications pertaining to the epidemiological studies of falls from January 2004 to January 2024, this article summarizes the epidemiological characteristics, risk factors, prevention and control strategies of falls among the elderly, aiming to provide the reference for prevention and control.

Survival analysis has been widely used in the field of medical research. The Cox proportional hazard model is commonly used, but its practical application is limited. Machine learning method can compensate for the shortcomings of the Cox proportional hazard model in terms of nonlinear data processing and prediction accuracy. This article reviewed the advance of machine learning methods represented by neural networks, within the field of survival analysis, and highlighted the principles and benefits of three machine learning methods that DeepSurv, Deep-Hit and random survival forest, providing methodological insights for the analysis of complex survival data.

Objective To systematically evaluate the influencing factors for medication compliance in patients with comorbidities of chronic diseases, so as to provide the evidence for improving medication compliance. Methods Literature on influencing factors for medication compliance in patients with comorbidities of chronic diseases were retrived from CNKI, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Cochrane Library and Embase from inception to January 20, 2024. After independent literature screening, data extraction, and quality assessment by two researchers, a meta-analysis was performed using RevMan 5.4 and Stata 16.0 softwares. Literature were excluded one by one for sensitivity analysis. Publication bias was assessed using Egger's test. Results Initially, 7 365 relevant articles were retrieved, and 35 of them were finally included, with a total sample size of about 150 000 individuals. There were 30 cross-sectional studies and 5 cohort studies; and 11 high-quality studies and 24 medium-quality studies. The meta-analysis showed that the demographic factors of lower level of education (OR=2.148, 95%CI: 1.711-2.696), lower economic income (OR=1.897, 95%CI: 1.589-2.264), male (OR=0.877, 95%CI: 0.782-0.985), living alone (OR=2.833, 95%CI: 1.756-4.569) and unmarried (OR=2.784, 95%CI: 1.251-6.196); the medication treatment factors of polypharmacy (OR=1.794, 95%CI: 1.190-2.706), potentially inappropriate medication (OR=2.988, 95%CI: 1.527-5.847), low frequency of daily medication (OR=0.533, 95%CI: 0.376-0.754) and adverse drug reactions (OR=3.319, 95%CI: 1.967-5.602); the disease factors of long course of disease (OR=2.118, 95%CI: 1.643-2.730), more comorbidities (OR=1.667, 95%CI: 1.143-2.431) and cognitive impairment (OR=2.007, 95%CI: 1.401-2.874); and the psychosocial factors of poor belief in taking medication (OR=1.251, 95%CI: 1.011-1.547), poor self-rated health (OR=1.990, 95%CI: 1.571-2.522) and being guided by healthcare professionals (OR=0.151, 95%CI: 0.062-0.368) were the influencing factors for medication compliance in patients with chronic comorbidities. Conclusion The medication compliance in patients with comorbidities of chronic diseases is associated with demographic factors, pharmacological factors, disease factors and psychosocial factors, mainly including living alone, adverse drug reactions, course of disease, number of comorbidities and medication beliefs.

Objective To systematically evaluate the prevalence of caries among children and adolescents in China, so as to provide the basis for the prevention and intervention of caries among children and adolescents. Methods Literature on caries among children and adolescents aged 3 to 18 years was collected through SinoMed, CNKI, Wanfang Data, VIP, PubMed and Web of Science published from January 1, 2020 to December 31, 2023. A meta-analysis was performed using R 4.4.0 software. Literature were excluded one by one for sensitivity analysis. Publication bias was assessed using Egger's test and Begg rank correlation test. Results Totally 561 publications were retrieved, and 26 eligible literature were enrolled in the final analysis. The survey period spanned from 2020 to 2023. The survey sites for 14, 4 and 8 eligible literature were eastern, central and western regions, respectively. A total of 95 594 individuals were included, with 45 004 cases of caries. Meta-analysis showed that the prevalence of caries among children and adolescents was 48.11% (95%CI: 41.58%-54.65%). Subgroup analysis results showed that there were no statistically significant differences in the prevalence of dental caries across different genders, regions, educational stages, urban-rural areas, and regional economic levels (all P＞0.05). After sequentially excluding publications, the prevalence of caries ranged from 41.58% to 54.65%, indicating that the research results were relatively stable. Begg rank correlation test and Egger's test indicated no publication bias (all P＞0.05). Conclusion The prevalence of caries among children and adolescents in China ranged from 41.58% to 54.65% from 2020 to 2023.

Objective To investigate the trend in burden of mental disorders among the elderly in China from 1990 to 2021, so as to provide the basis for formulating prevention, control and intervention measures for mental disorders in this population. Methods Based on the data of the Global Burden of Disease 2021 (GBD 2021), the number of cases, prevalence, disability-adjusted life years (DALY) and DALY rate of mental disorders among the elderly in China were collected, and standardized prevalence and DALY rate were calculated using the world standard population. The burden of mental disorders was analyzed, and the trend in burden was analyzed using average annual percent change (AAPC). Results The standardized prevalence and standardized DALY rate of mental disorders among the elderly in China showed upward trends from 1990 to 2021 (AAPC=0.160% and 0.286%, both P<0.05). In 2021, there were 38.944 9 million cases of mental disorders among the elderly in China, the DALY was 5.389 8 million person-years, the standardized prevalence was 14 462.91/10⁵, and the standardized DALY rate was 1 993.69/10⁵, with the increases of 184.12%, 192.90%, 5.71% and 9.60% compared to 1990, respectively. The burden of mental disorders increased significantly among the elderly aged 60 to <65, 65 to <70, 70 to <75, and 75 to <80 years, with the increases of 5.81%, 5.92%, 6.08% and 6.03% in prevalence, and the increases of 10.16%, 10.12%, 10.31% and 9.88% in DALY rates, respectively. Depression and anxiety ranked the top two in standardized prevalence and standardized DALY rates. The standardized prevalence and standardized DALY rate of autism showed the largest increases, at 18.82% and 18.10%, respectively, while congenital intellectual disabilities exhibited the largest decreases, at 36.15% and 29.71%, respectively. The standardized prevalence and standardized DALY rate of mental disorders were higher in women than in men (both P<0.05). Compared to men, women had higher standardized prevalence and standardized DALY rates of depression, anxiety and congenital intellectual disabilities, but lower standardized prevalence and standardized DALY rates of schizophrenia, autism, attention deficit hyperactivity disorder, and other mental disorders (all P<0.05). Conclusion The burden of mental disorders among the elderly population in China showed an upward trend from 1990 to 2021, with heavier burdens observed among women, individuals aged 60 to <80 years, and those with depression and anxiety.

Objective To explore the influencing factors for depressive symptoms in adolescents in China, so as to provide insights into promoting mental health of adolescents. Methods The 2020 follow-up survey data of China Family Panel Studies were collected, including demographic information, lifestyle, family factors and academic factors of adolescents aged 10-19 years. Depressive symptoms were evaluated using the 8-item Center for Epidemiological Studies Depression Scale. The influencing factors for depressive symptoms in adolescents were analyzed using a multivariable logistic regression model. Results A total of 2 777 adolescents were analyzed, including 1 470 males (52.93%) and 1 307 females (47.07%). There were 1 186 adolescents (42.71%) from urban areas and 1 591 adolescents (57.29%) from rural areas, 106 smokers (3.82%), and 459 adolescents (16.53%) with depressive symptoms. Multivariable logistic regression analysis showed that academic stress (OR=1.268, 95%CI: 1.151-1.396), poor self-rated health (OR=1.255, 95%CI: 1.116-1.411), smoking (OR=1.901, 95%CI: 1.127-3.207), low trust in parents (OR=0.780, 95%CI: 0.729-0.835) and large family size (OR=1.095, 95%CI: 1.035-1.158) were associated with an increased risk of depressive symptoms in adolescents. Conclusion The influencing factors for depressive symptoms in adolescents were academic stress, self-rated health, smoking, trust in parents and family size.

Objective To examine the mediating effect of nighttime sleep duration on pain and frailty among elderly patients with comorbidity of chronic diseases, so as to provide insights into frailty control among the elderly. Methods Demographic information, pain and nighttime sleep duration of the elderly at ages of 60 years and older were collected from the China Health and Retirement Longitudinal Study 2020. Frailty were evaluated using frailty index. The mediating effect of sleep duration for pain and frailty was analyzed using the Process program compiled by HAYSS and colleagues, and the significance of the mediating role was tested using the Bootstrap test. Results A total of 2 246 elderly patients with comorbidity of chronic diseases were enrolled, including 1 195 males (53.21%) and 1 051 females (46.79%), with a median age of 65.00 (interquartile range, 8.00) years. There were 504 cases with frailty (22.44%), with a median pain score of 0 (interquartile range, 1.00) points, and a mean nighttime sleep duration of (6.44±1.55) hours. Mediating analysis showed that pain affected frailty directly and positively with the effect value of 0.089 (95%CI: 0.066-0.112), and also affected frailty by nighttime sleep duration directly and positively with the effect value of 0.047 (95%CI: 0.036-0.058), with the mediating effect contributed 34.56% of the total effect. Conclusion Pain can directly or indirectly affect frailty among elderly patients with comorbidity of chronic diseases through nighttime sleep duration.

Objective To evaluate the intervention effectiveness of broken window effect combined with narrative nursing on non-suicidal self-injury (NSSI) in adolescents, so as to provide the basis for NSSI prevention in adolescents. Methods Totally 134 adolescents with NSSI admitted to Mental Health Center of the Affiliated Hospital of Anhui West Health Vocational College from January 2022 to December 2023 were enrolled and randomly assigned into the control and treatment group. All were given narrative nursing and routine care, and the adolescents in the treatment group were given additional intervention based on broken window effect. The effects were evaluated using Self-Rating Depression Scale (SDS), Hamilton Depression Scale (HAMD), Self-Rating Idea of Suicide Scale (SIOSS), Ottawa Self-injury Inventory-Functions (OSI-F) and Nursing Satisfaction Scale, and the two groups were compared before and after intervention. Results The treatment and control groups comprised 67 cases each, had a median age of 14.12 (interquartile range, 2.01) years and 14.10 (interquartile range, 1.52) years, included 71.64% and 68.66% girls, and 79.10% and 74.63% junior high school students, respectively. There were no statistically significant differences between the treatment and control groups in terms of gender, age or educational level (all P>0.05). The results of analysis of variance for repeated measures showed that there were interactions between time and group for SDS, HAMD and SIOSS scores (all P<0.05), and the decrease in scores before and after intervention was greater in the treatment group than in the control group. After intervention, the SDS, HAMD, SIOSS score and incidence of suicidal behaviors in the treatment group were all lower than the control group [SDS: (32.54±1.27) vs. (44.25±2.23); HAMD: (10.54±1.83) vs. (18.73±1.89); SIOSS: (10.37±2.20) vs. (15.76±1.62); incidence of suicidal behavior: 14.93% vs. 32.84%; all P<0.05]. The nursing satisfaction rate was significantly higher in the treatment group than in the control group (98.51% vs. 88.06%, P<0.05). Conclusion The broken window effect combined with narrative nursing would improve the depressive symptoms in adolescents with NSSI, and reduce the suicidal ideation and self injury.

Objective To examine the association of hypertension onset age with diabetes, so as to provide insights into reducing the the risk of cardiovascular events. Methods Permanent residents aged 35 to 75 years were selected through the program of early screening and comprehensive intervention for the high-risk cardiovascular disease population in Changning District and Baoshan District, Shanghai Municipality from 2016 to 2020. Demographic information, disease history, hypertension onset age, blood pressure and fasting blood glucose were collected through questionnaire surveys, physical examination and laboratory tests. The residents were divided into four groups based on the onset age of hypertension: <45, 45-<55, 55-<65 and ≥65 years old, and the residents with normal blood pressure were selected as control. The association of hypertension onset age with prediabetes and diabetes were identified using a multivariable logistic regression model. Results A total of 25 228 residents were recruited, including 8 753 males (34.70%) and 16 475 females (65.30%). The prevalence of hypertension was 43.80%. There were 1 779, 3 274, 3 781 and 2 217 cases with hypertension onset age of <45, 45-<55, 55-<65 and ≥65 years old, respectively, and 14 177 residents with normal blood pressure. The prevalence of prediabetes and diabetes were 24.01% and 11.29%, respectively. Multivariable logistic regression analysis showed that after adjusting for confounding factors such as gender, marital status and educational level, compared with the normal blood pressure group, the risk of prediabetes was higher in the hypertension onset age groups of <45 (OR=1.345, 95%CI: 1.164-1.553), 45-<55 (OR=1.365, 95%CI: 1.212-1.536) and 55-<65 years old (OR=1.376, 95%CI: 1.239-1.527), and the risk of diabetes was higher in the hypertension onset age groups of <45 (OR=2.302, 95%CI: 1.906-2.775), 45-<55 (OR=2.349, 95%CI: 2.016-2.734), 55-<65 (OR=1.909, 95%CI: 1.667-2.184) and ≥65 years old (OR=1.315, 95%CI: 1.131-1.526). Conclusion There are statistically significant associations between hypertension onset age with prediabetes and diabetes.

Objective To investigate the prevalence of frailty and its influencing factors among the elderly, so as to provide the evidence for prevention and control of frailty. Methods The elderly population at ages of 65 years and older were selected from 14 administrative villages or communities in Wuzhong District, Suzhou City, Jiangsu Province, using the random cluster sample method from July to November, 2022. Demographic information, smoking and alcohol consumption were collected through questionnaire surveys. Physical activity, sleep quality and frailty were evaluated using the International Physical Activity Questionnaire-Short, Pittsburgh Sleep Quality Index and the FRAIL Scale, respectively. Factors affecting frailty among the elderly were evaluated using a multinomial logistic regression model. Results A total of 8 782 elderly peolple were surveyed, including 4 259 males (48.50%) and 4 523 females (51.50%). The median age was 71.00 (interquartile range, 8.00) years. There were 2 145 cases with pre-frailty (24.42%) and 189 cases with frailty (2.15%). Multinomial logistic regression analysis showed that age (75-<85 years, OR=1.330, 95%CI: 1.186-1.492; ≥85 years, OR=2.452, 95%CI: 1.882-3.195), smoking (current smoking, OR=0.838, 95%CI: 0.714-0.983), physical activity level (low, OR=1.161, 95%CI: 1.010-1.333) and sleep quality (poor, OR=2.248, 95%CI: 1.822-2.774) were associated with pre-frailty; age (75-<85 years,OR=2.629, 95%CI: 1.921-3.596; ≥85 years, OR=3.067, 95%CI: 1.621-5.801), educational level (junior high school and above, OR=0.488, 95%CI: 0.298-0.798), body mass index (underweight, OR=1.848, 95%CI: 1.023-3.337; obesity, OR=1.798, 95%CI: 1.180-2.740), smoking (quit smoking, OR=1.787, 95%CI: 1.007-3.171; current smoking, OR=0.448, 95%CI: 0.242-0.830), alcohol consumption (yes, OR=0.532, 95%CI: 0.291-0.972), physical activity level (low, OR=2.757, 95%CI: 1.646-4.616) and sleep quality (poor, OR=3.911, 95%CI: 2.438-6.273) were associated with frailty. Conclusion Older, low physical activity level, poor sleep quality, underweight and obesity are associated with frailty of the elderly.