The factors associated with geriatric depression in rural China: stratified by household structure

2017 ◽  
Vol 23 (5) ◽  
pp. 593-603 ◽  
Author(s):  
Fengfeng Gong ◽  
Dongdong Zhao ◽  
Yuanyuan Zhao ◽  
Shanshan Lu ◽  
Zhenzhong Qian ◽  
...  
PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0203914
Author(s):  
Getahun Ersino ◽  
Gordon A. Zello ◽  
Carol J. Henry ◽  
Nigatu Regassa

BJPsych Open ◽  
2020 ◽  
Vol 6 (5) ◽  
Author(s):  
Yue-Hui Yu ◽  
Wei Luo ◽  
Man-Xi He ◽  
Xin Yang ◽  
Bo Liu ◽  
...  

Background Little is known about poverty trends in people with severe mental illness (SMI) over a long time span, especially under conditions of fast socioeconomic development. Aims This study aims to unravel changes in household poverty levels among people with SMI in a fast-changing rural community in China. Method Two mental health surveys, using ICD-10, were conducted in the same six townships of Xinjin county, Chengdu, China. A total of 711 and 1042 people with SMI identified in 1994 and 2015, respectively, participated in the study. The Foster-Greer-Thorbecke poverty index was adopted to measure the changes in household poverty. These changes were decomposed into effects of growth and equity using a static decomposition method. Factors associated with household poverty in 1994 and 2015 were examined and compared by regression analyses. Results The proportion of poor households, as measured by the headcount ratio, increased significantly from 29.8% in 1994 to 39.5% in 2015. Decomposition showed that poverty in households containing people with SMI had worsened because of a redistribution effect. Factors associated with household poverty had also changed during the study period. The patient's age, ability to work and family size were of paramount significance in 2015. Conclusions This study shows that the levels of poverty faced by households containing people with SMI has become more pressing with China's fast socioeconomic development. It calls for further integration of mental health recovery and targeted antipoverty interventions for people with SMI as a development priority.


2018 ◽  
Vol 30 (10) ◽  
pp. 1489-1497 ◽  
Author(s):  
Dongdong Zhao ◽  
Caiyun Hu ◽  
Jian Chen ◽  
Bao Dong ◽  
Qiongqiong Ren ◽  
...  

ABSTRACTBackground:The number of elderly individuals living in China is increasing rapidly. The aim of this study was to examine the potential risk factors of geriatric depression in rural areas.Methods:A repeated cross-sectional study was conducted between January 2015 and October 2016 in rural China. Nine hundred forty-five elderly individuals were included in both investigations. A generalized estimating equation (GEE) was used to examine the relationships between geriatric depression and socio-demographics, the number of chronic diseases, ADL (Activity of Daily Living) disability, cognitive impairment, and anxiety.Results:Among the participants, the majority was female (61.4%) and illiterate (81.5%) and had a general economic status (63.0%) and more than two kinds of chronic diseases (62.9%). The bivariate analysis indicated that geriatric depression was associated with social support, education level, economic status, ADL disability, anxiety disorders, and cognitive impairment at both survey time points. The GEE results showed that poor economic status (OR = 8.294, p < 0.001), the presence of more than two chronic diseases (OR = 1.681, p = 0.048), ADL disability (OR = 2.184, p < 0.001), cognitive impairment (OR = 1.921, p < 0.001), and anxiety (OR = 5.434, p < 0.001) were risk factors for geriatric depression in rural China; better social support (OR = 0.924, 95% CI = 0.899–0.949, p < 0.001) was found to be a protective factor.Conclusions:Geriatric depression in rural China was associated with several socio-demographic, physical, and mental factors. Targeted interventions are essential to improve the psychological health of aged individuals in rural China.


2019 ◽  
Vol 113 (11) ◽  
pp. 714-721 ◽  
Author(s):  
Jia Yin ◽  
Oliver James Dyar ◽  
Peng Yang ◽  
Ding Yang ◽  
Gaetano Marrone ◽  
...  

Abstract Background This study describes the patterns of antibiotic prescribing in eight village clinics in rural China and evaluates factors associated with antibiotic prescribing using quantitative and qualitative methods. Methods From January 2015 to July 2017, 60 prescriptions were collected monthly from selected village clinics in Shandong, China. Village clinic doctors completed a questionnaire regarding their knowledge of antibiotic prescribing. Semi-structured interviews were conducted with 15 village doctors and 1 deputy director from the township hospital. Results Of the 14 526 prescriptions collected, 5851 (40.3%) contained at least one antibiotic, among which 18.4% had two or more antibiotics and 24.3% had parenteral antibiotics. The antibiotic prescribing rate (β=−0.007 [95% confidence interval −0.009 to −0.004]) showed a declining trend (1.7% per month). Higher antibiotic prescribing rates were observed for patients <45 y of age and those diagnosed with upper respiratory tract infections and among village doctors who had less working experience and a lower level of knowledge on antibiotic prescribing. Qualitative analyses suggested that antibiotic prescribing was influenced by the patients’ symptoms, patients’ requests, policies restraining the overuse of antibiotics, subsidies for referral and routine village doctor training. Conclusions Antibiotic prescribing has declined in the included village clinics, which may be due to the policy of reducing antibiotic overuse in primary health care centres in China.


2016 ◽  
Vol 12 (5) ◽  
pp. 1149-1154 ◽  
Author(s):  
Lijie Yu ◽  
Jian Wang ◽  
Knut R. Wangen ◽  
Ruohan Chen ◽  
Elizabeth Maitland ◽  
...  

2021 ◽  
Vol 4 (12) ◽  
pp. e2137745
Author(s):  
Yishu Liu ◽  
Hongling Chu ◽  
Ke Peng ◽  
Xuejun Yin ◽  
Liping Huang ◽  
...  

Author(s):  
Mingwang Fang ◽  
Jinfeng Chen ◽  
Ling Guo ◽  
Xiao Ma

Physical housing environment and living arrangements are significant determinants of health, particularly in developing countries, although results are mixed. We conducted this study to examine the gender differences in geriatric depressive symptoms in rural China, and further explored the influence of housing environments and living arrangements on depressive symptoms. The data used for this study were from the third wave of the nationally representative China Health and Retirement Longitudinal Study (CHARLS) survey in 2015; a total of 2056 females and 2529 males were included in this study. According to the analysis findings, 46.15% of the respondents had depressive symptoms based on the CES-D, with a statistically significant gender difference of 54.32% in females and 39.50% in males. Logistic Regression findings identified that with regard to the items of physical housing environments, toilets without seats (OR = 1.349) and the unavailability of bathing facilities (OR = 1.469) were statistically associated with depressive symptoms among male participants, whereas for female participants the use of polluting fuels (OR = 1.248) and living arrangements (i.e., living with children, OR = 1.430) was statistically associated with depressive symptoms. Statistically significant gender differences were found for having shower or bath facilities and our findings underscored that physical housing environments and living arrangements were associated with depressive symptoms for both genders. Moreover, the study revealed that a slight gender difference exists in terms of geriatric depression in rural China. Females are more likely to become depressed than their male counterparts with the same characteristics.


2019 ◽  
Vol 47 (2) ◽  
pp. 1-9
Author(s):  
Jingjing Zhou ◽  
Linlin Xiao ◽  
Yicheng Zhou ◽  
Guoqiang Rui ◽  
Xianlin Ni

We used the Geriatric Depression Scale to investigate the depression status of empty nesters living in eastern rural China (N = 967). The results showed that more than half of the participants suffered relatively severe depression and that their mental health was not favorable. Gender, age, level of education, and marital status had a significant influence on depression status. The degree of depression of men was lower than that of women. As participants’ age increased, the degree of depression first rose until the age of 84 and then fell thereafter. The depression of unmarried empty nesters was relatively severe compared to that of married ones. Finally, a higher level of education corresponded with a lower degree of depression. There are varied factors affecting the psychological status of empty nesters in China. To improve their mental state, the government, society, and family need to collaborate and take comprehensive measures.


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