Summary We used statistical approaches to calculate 1-year mortality rates and reveal the relationship between age and the 1-year mortality rate after hip fracture based on data from mainland China between the years 2000 and 2018. Introduction Data on the 1-year mortality rates after hip fracture in mainland China remain limited and localized. We aimed to analyze the 1-year mortality rates and reveal the variations in 1-year mortality by age after hip fracture based on data from mainland China. Methods We searched PubMed, EMBASE, Cochrane Library, CNKI, Wanfang, and CBM-SinoMed for all relevant articles in English or Chinese to estimate the 1-year mortality rates after hip fracture in mainland China. A random-effects meta-analysis model was fitted to pool the overall 1-year mortality rates. A multilevel mixed-effects meta-regression model was developed. Based on the final model, the age-specific 1-year mortality rates after hip fracture in mainland China were generated. Results The pooled estimate of the 1-year mortality rate was 13.96% after hip fracture (95% CI 12.26 to 15.86%), 17.47% after femoral intertrochanteric fracture (95% CI 14.29 to 21.20%), and 9.83% after femoral neck fracture (95% CI 6.96 to 13.72%) between the years 2000 and 2018. We found that the 1-year mortality rates ranged from 2.65% (95% CI 1.76 to 3.99%) in those aged 50~54 years to 28.91% (95% CI 24.23 to 34.30%) in those aged 95~99 years after hip fracture; ranged from 1.73% (95% CI 0.58 to 4.99%) in those aged 50~54 years to 50.11% (95% CI 46.03% to 53.97%) in those aged 95~99 years after femoral intertrochanteric fracture; and ranged from 1.66% (95% CI 1.31 to 2.11%) in those aged 60~64 years to 37.71% (95% CI 27.92 to 48.63%) in those aged 95~99 years after femoral neck fracture. Conclusion In this systematic review and meta-analysis, we calculated the 1-year mortality rate after hip fracture in mainland China and found that this rate was lower than that in most countries. We also estimated the age-specific mortality rates for different age groups after hip fracture. These findings will be beneficial for the prevention and treatment of hip fracture in mainland China. Electronic supplementary material The online version of this article (10.1007/s11657-019-0604-3) contains supplementary material, which is available to authorized users.
Purpose Previous surveys have shown an increase in the prevalence of depression among college students. However, knowledge on the incidence and risk factors of depressive symptoms in Chinese college students is limited. The aim of the present study was to determine the two-year cumulative incidence of depressive symptoms in Chinese college freshmen and identified related psychosocial risk factors. Patients and Methods A prospective survey was used to examine the cumulative incidence and risk factors of depressive symptoms (as assessed by the Centre for Epidemiological Study-Depression Scale, CES-D) among undergraduate freshmen. Five times (baseline, 5, 12, 17, and 24 months later) of self-reported data were collected from the students. Results Of the initial 758 non-depressed respondents at baseline, 235 developed depressive symptoms (CES-D ≥ 16) during the follow-up period. The two-year cumulative incidence was estimated to be 42% and not significantly different between males and females (χ2=3.138, df =1, p=0.077). Logistic regression model showed that female gender (OR=0.43, 95% CI (0.28–0.64)), high level of self-esteem (OR=0.67, 95% CI (0.52–0.86)), and moderate exercise (OR=0.71, 95% CI (0.55–0.92)) reduced the onset of depressive symptoms; while high levels of baseline anxiety (OR=1.48, 95% CI (1.12–1.94)), Eysenck Personality Questionnaire-Neuroticism (OR=1.40, 95% CI (1.09–1.79)), concern over mistakes (OR=1.35,95% CI (1.07–1.71)), daytime sleepiness (OR=1.28, 95% CI (1.02–1.60)), mild exercise (OR=1.25, 95% CI (1.01–1.55)) increased the new onset of depressive symptoms. Conclusion The high two-year cumulative incidence indicates that depressive symptoms are an important mental problem in Chinese college students. The present findings on the risk factors of depressive symptoms in Chinese college students may be useful for the design of student health screening and intervention programs.
Background:Mental disorders are strongly associated with disabilities. National survey on disability could provide a reliable basis for policymaking in care and rehabilitation of disabled persons. This study aimed to describe the disability prevalence rates attributed to mental disorders, their distribution by sociodemographic factors, and utilizations of service.Methods:This study is a secondary data analysis of the Second National Sample Survey on Disability in 2006. The disability and severity were assessed using the World Health Organization Disability Assessment Schedule 2.0. Mental disorders were diagnosed according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision Classification of Mental and Behavioral Disorders. Using descriptive and analytic epidemiological methods, prevalence rates of disability attributed to mental disorders and service use were calculated.Results:Data of 2,526,145 respondents were analyzed. The disability prevalence rate attributed to mental disorders in China was 6.3‰, accounting for 9.9% of all disabled people. Regarding disability prevalence attributed to mental disorders, it showed that gender, residential area, marital status, education level, and economic area were related to the prevalence distributions. The proportions of mild disability were highest in the disabled people with onset age of 18–64 years, while the proportion of extremely severe disability was highest in the disabled people with onset age of 65 years and above. Only 58.6% of disabled people attributed to mental disorders used some of the services.Conclusions:There are statistical differences of disability prevalence attributed to mental disorders by people and region in China. Service use in disabled people with mental disorders is insufficient.
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