Abstract
BackgroundSuboptimal health status (SHS) among urban residents is commonplace in China. However, factors influencing SHS have not been thoroughly explored, especially with regard to the effects of internal factors (e.g., personality and health awareness) on SHS.MethodsA cross-sectional study was conducted with a nationally representative sample of 5460 Chinese urban residents..SHS was measured using the Suboptimal Health Mesurement Scale Version 1.0. Demographic information, and information pertaining to lifestyle behaviors, environmental factors, and internal factors were abtained through a questionnaire. The associations between demographic information, lifestyle behaviors, environmental factors, internal factors and SHS were assessed using logistic regression.ResultsOf the 5460 participants (with a mean age of 41.56 ± 16.14 years), 2640 (48.4 %) were men. Out of 36 variables, 23 were significantly associated with SHS: age (odds ratio [OR]: 1.014), an education level of high school/junior college (OR: 1.443) , marital status (OR: 1.899), area of registered permanent residence (OR: 0.767), monthly household income (p < 0.001) , exposure to second-hand smoke (p = 0.001), alcohol drinking (OR: 1.284), bad eating habits (OR: 1.717), not sleeping before 11 p.m. every day (p = 0.002), spending time online more than five hours a day (OR: 1.526), having a good relationship with parents during one’s growth period (OR: 0.602), living with good quality air (OR:0.817), living in not crowded conditions (OR:0.636), having a harmonious neighborhood (OR:0.775), having adequate fitness facilities (OR:0.783), one’s health being affected by two-child policy (OR: 1.468) and medical policies (OR: 1.265) , high adverse quotient (OR: 0.488), many (≥3 kinds) interests and hobbies (OR: 0.617), mature and steady personality traits (OR: 0.469) , a high attention to one’s health (OR: 0.833), and effective health promotion induced by leading a leisurely lifestyle (OR: 0.466) were significantly associated with SHS.ConclusionsAll these variables were included demographic information, lifestyle behaviors, environmental factors and internal factors. Our study supports the benefits of controlling both internal and external factors in preventing suboptimal health.
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