BackgroundType 2 diabetes mellitus (T2DM) is a prevalent chronic disease worldwide. The prevalence of T2DM is increasing rapidly in China. Understanding the contribution of modifiable lifestyle factors on T2DM risk is imperative to prevent the development of T2DM in China.MethodsWe examined associations between lifestyle factors including physical activity, smoking and alcohol consumption with incidence of T2DM among middle-aged and elderly men in urban Shanghai. Information on socio-demographics, lifestyle habits, dietary habits, and disease history was collected via in-person interviews. Anthropometric measurements were taken. A total of 51 464 Chinese men aged 40–74 years free of T2DM, coronary heart disease (CHD), and stroke at baseline were included in the current study. Incident T2DM was identified through follow-up surveys conducted every 2–3 years. Cox proportional hazard analyses were conducted to evaluate associations between lifestyle risk factors and incidence of T2DM.ResultsWe documented 1304 new cases of T2DM during 276 929 person-years of follow-up (average: 5.4 years). Physical activity was inversely associated with T2DM risk. Daily living, commuting, and total physical activity METs had inverse negative dose-response relationships with T2DM (P-trend = 0.0033, 0.0022, and <0.0001, respectively). Regular participation in exercise or sports reduced T2DM risk (HR = 0.86, 95%CI: 0.76–0.98). Moderate alcohol intake (1–3 drinks/day) was inversely related to T2DM risk (HR = 0.80, 95%CI: 0.67–0.94). Cigarette smoking, on the other hand, was associated with increased T2DM risk; HRs were 1.25 (95%CI: 1.00–1.56) for smoking more than 20 cigarettes per day and 1.28 (95%CI: 1.04–1.57) for smoking more than 40 pack-years.ConclusionsPhysical activity and moderate alcohol intake are inversely associated with T2DM risk, whereas smoking was positively associated with T2DM risk among middle-age and elderly Chinese men. Preventive measures should be developed to focus on these modifiable lifestyle habits to reduce the upward trend of T2DM.

Depression is one of the most prevalent mental disorders worldwide. Little information is available regarding association of depressive symptoms (DS) with cancer and chronic diseases among middle-aged and elderly Chinese in a population-based setting. In this study we evaluated the prevalence and examined correlates of DS in two population-based cohort studies. Included in the analyses were 103,595 people with a mean age of 61.8 years at the DS assessment. The prevalence of DS was 2.4% in men and 5.6% in women. We found elderly participants, those with lower BMI, or chronic diseases were more likely to experience DS. Having a history of stroke (odds ratio (OR) = 2.2 in men and 1.8 in women), cancer (OR = 3.3 in men and 1.9 in women), or Parkinson’s disease (OR = 3.1 in men and 2.7 in women) was associated with high DS. In women, high income and high education levels were inversely related to DS. Being a single woman, long-term or heavy female smoker was associated with high prevalence of DS. High BMI was correlated with low prevalence of depression in men. Our data suggests a low prevalence of DS among middle-aged and elderly people in Shanghai, China. Age, education, income, marital status, smoking, BMI, and certain health conditions were associated with DS.

The aim of this study is to examine the mutual effects of self-esteem and common mental health problems (CMHPs) as well as the mutual effects of self-esteem and resilience in early adolescence. The recruited participants were 1015 adolescents aged 12.7 years (SD = 0.5 years) from two junior high schools. Data were repeatedly collected at five time points at 6-month intervals over 2-year years. The Social Support Rating Scale (SSRS), Block and Kremen's Ego-Resiliency Scale (ER89), Rosenberg Self-esteem Scale (RSES), and Mental Health Inventory of Middle School Students (MMHI-60) were used to measure social support, resilience, self-esteem, and CMHPs, respectively. Nonrecursive structural equation modeling (SEM) was performed to analyze the data. There were bivariate partial correlations among the five-time measurements for the SSRS, ER89, RSES, and MMHI-60 scores. Self-esteem negatively predicted CMHPs with a standardized direct effect of −0.276 (95% CI: −0.425 to −0.097), and the opposite effect was −0.227 (95% CI: −0.383 to −0.072). Self-esteem positively predicted resilience with the standardized direct effect of 0.279 (95% CI: 0.093–0.425), and the opposite effect was 0.221 (95% CI: 0.063–0.376). Social support was a protective factor for mental health status. The findings of mutual effects of self-esteem and CMHPs as well as self-esteem and resilience can provide researchers and practitioners with a conceptual framework that can help them build effective intervention methods to promote adolescent mental health status.

The results demonstrated that RDS is a robust sampling method in the study of migrant workers. Despite its potential utility, it is also important to recognize and mitigate potential limitations, such as geographic proximity.