Xinran He

OBJECTIVE: We aimed to explore the correlation between functional disability and quality of life (QoL). And exploring the interaction of functional disability, basic demographic characteristics and health-related information on QoL among the rural elderly in Anhui Province. METHODS: This study used multi-stage stratified cluster sampling in rural Anhui Province from January to July 2018 to conduct a cross-sectional survey of older adults who met the inclusion criteria. The Five-Dimensional European Quality Of Health Scale (EQ-5D) and the WHO Disability Assessment Schedule (WHODAS2.0) scale were used to evaluate the QoL and functional disability, and the basic demographic characteristics of the survey subjects were also collected. Using binary logistic and Classification and regression tree model (CART) models to analyze the data, explore the relationship between functional disability and QoL in the elderly. RESULTS: A total of 3491 older adults were included in the survey, and 3336 completed the entire survey, with an effective response rate of 95.56%. After adjusting for covariables, those who had limited in dimension of mobility (AOR=2.243, 95%CI: 1.743-2.885), getting along (AOR=1.615, 95%CI: 1.173-2.226), life activities (AOR=2.494, 95%CI:1.928-3.226), and social participation (AOR=2.218, 95%CI: 1.656-2.971) had a lower QoL. However, the dimension of cognition (AOR=0.477, 95%CI: 0.372-0.613) is a protective factor for QoL. Additionally, we also observe that 96.3% of those who were unemployed and limited in both mobility and life activities dimensions had a lower QoL, but among those who were robust in both mobility and social participation dimensions and not suffer from chronic diseases, 56.3% had a higher QoL. CONCLUSIONS: Our findings indicate that special attention should be paid to the elderly who are unemployed, have limited in cognition, getting along, social participation, mobility, life activities and cognition robust to improve their QoL. This research is of great significance for formulating targeted strategies and measures to improve the QoL for rural elderly.

BACKGROUND AND OBJECTIVE: Mental health imbalance are the main cause of anxiety, depression and happiness reduction in the older. Self-assessment living standard and sleep quality are both influencing factors of mental health. Meantime, self-assessment living standard has an impact on sleep quality. But there's no research on the relationship between the three, we conducted this study to explore the relationship between self-assessment living standard and mental health and the mediating role of sleep quality among the older in rural areas of China. METHODS: Using typical field sampling method, M County, Anhui Province was selected as the investigation site, and a total of 1223 respondents were selected. With the help of questionnaires enclosing respondents' sociodemographics information, 12 Items General Health Questionnaire (GHQ-12) and Pittsburgh Sleep Quality Scale (PSQI), face-to-face interviews were used to collect data. Bootstrap test was used for data analysis. RESULTS: The results showed that the age of the respondents ranged from 60 to 99 years, with an average age of (66.53 ± 6.77) years, the proportion of the older with a tendency to mental health problems was 24.7%. Most of the older people's self-assessment living standard was normal (average score was 2.89 ± 0.726), accounting for 59.3% of the total. The average sleep quality score was (6.97 ± 4.066), and 2.5% of the respondents reported serious sleep problems. older with low self- assessment living standards were more likely to report a higher propensity for psychological problems (β = 0.420, P < 0.001) and poorer sleep quality (β = 0.608, P < 0.001) than older with high self- assessment living standards. Mental health of the older may be related to sleep quality (β = 0.117, P < 0.001). In addition, the effect of self- assessment living standard on mental health was significantly mediated by sleep quality (β = 0.071, P < 0.001). CONCLUSION: Mental health is associated with self-assessment living standard, with this association mediated by sleep quality. A reasonable mechanism needs to be established to improve self-assessment living standard and sleep quality.