scholarly journals Multidomain Social Determinants of Depressive Symptoms for the Elderly with Chronic Diseases: Evidence from the China Health and Retirement Longitudinal Study

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1765
Author(s):  
Tao Zhang ◽  
Xiaohe Wang ◽  
Yongjian Xu
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Chronic Diseases ◽  
Social Determinants ◽  
Low Income ◽  
Psychological Health ◽  
Depression Score ◽  
Chinese Elderly ◽  
Elderly Individuals ◽  
Score Distributions

Elderly individuals with chronic diseases (CDs) have a much higher risk of mental disorders, especially depression. This study aimed to identify the multidomain social determinants of occurrence and degree of depressive symptoms for the Chinese elderly with CDs. Data of 3438 elderly individuals (aged over 60 years) with CDs were drawn from the fourth wave of the China Health and Retirement Longitudinal Study implemented in 2018. Logistic regression was used to describe associations with the occurrence of depressive symptoms within and across multidomain social determinants (demographic, economic, neighborhood, environmental, and social and cultural). The Shapley value decomposition method was used to measure the relative importance of variables of the five domains. A quantile regression model was used to test how the effects of social factors vary across different points of depression score distributions. Approximately 40.1% of Chinese elderly individuals with CDs reported depressive symptoms. Respondents who were female, had a low income, experienced a disability, lived in rural areas, and were not engaged in work had a higher probability of suffering from depressive symptoms. Conversely, increased age, being covered by social security and being well-educated had a protective effect. Data also showed that the effects of these associated factors varied across different points of depression score distributions. The fact that socially disadvantaged people are more vulnerable to severe depressive symptoms implies that psychological health services and intervention strategies should target this population.

Association of serum adiponectin levels and body mass index with worsening depressive symptoms in elderly individuals: a 10-year longitudinal study

2019 ◽  
Vol 24 (5) ◽  
pp. 725-731
Author(s):  
Cong Huang ◽  
Mana Kogure ◽  
Yasutake Tomata ◽  
Yumi Sugawara ◽  
Atsushi Hozawa ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Body Mass ◽  
Serum Adiponectin ◽  
Elderly Individuals

scholarly journals Forgone care among middle aged and elderly with chronic diseases in China: evidence from the China Health and Retirement Longitudinal Study Baseline Survey

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e019901 ◽  
Author(s):  
Xiangjun Li ◽  
Mingsheng Chen ◽  
Zhonghua Wang ◽  
Lei Si
Keyword(s):  
Longitudinal Study ◽  
Chronic Diseases ◽  
Elderly People ◽  
Inpatient Care ◽  
Healthcare Utilisation ◽  
Income Group ◽  
Baseline Survey ◽  
Middle Aged ◽  
Elderly Individuals ◽  
Physical Examinations

ObjectiveIn general, published studies analyse healthcare utilisation, rather than foregone care, among different population groups. The assessment of forgone care as an aspect of healthcare system performance is important because it indicates the gap between perceived need and actual utilisation of healthcare services. This study focused on a specific vulnerable group, middle-aged and elderly people with chronic diseases, and evaluated the prevalence of foregone care and associated factors among this population in China.MethodsData were obtained from a nationally representative household survey of middle-aged and elderly individuals (≥45 years), the China Health and Retirement Longitudinal Study, which was conducted by the National School of Development of Peking University in 2013. Descriptive statistics were used to analyse sample characteristics and the prevalence of foregone care. Andersen’s healthcare utilisation and binary logistic models were used to evaluate the determinants of foregone care among middle-aged and elderly individuals with chronic diseases.ResultsThe prevalence of foregone outpatient and inpatient care among middle-aged and elderly people was 10.21% and 6.84%, respectively, whereas the prevalence of foregone care for physical examinations was relatively high (57.88%). Predisposing factors, including age, marital status, employment, education and family size, significantly affected foregone care in this population. Regarding enabling factors, individuals in the highest income group reported less foregone inpatient care or physical examinations compared with those in the lowest income group. Social healthcare insurance could significantly reduce foregone care in outpatient and inpatient situations; however, these schemes (except for urban employee medical insurance) did not appear to have a significant impact on foregone care involving physical examinations.ConclusionIn China, policy-makers may need to further adjust healthcare policies, such as health insurance schemes, and improve the hierarchical medical system, to promote reduction in foregone care and effective utilisation of health services.

scholarly journals IDENTIFYING THE TRAJECTORIES OF MULTIMORBIDITY AND THEIR CORRELATES AMONG KOREAN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S697-S697
Author(s):  
Sun Ah Lee ◽  
Hey Jung Jun ◽  
Susanna Joo ◽  
Hye Won Chai
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Psychological Health ◽  
Social Engagement ◽  
Multinomial Logistic Regression ◽  
Growth Mixture Modeling ◽  
Older Adulthood ◽  
Logistic Regression Models ◽  
Nationally Representative

Abstract Multimorbidity, the co-existence of two or more chronic diseases, has become prevalent among the older population. This study focused on identifying different patterns of multimorbidity trajectories across older adulthood and examining their predictors. We used six waves of the Korean Longitudinal Study of Aging (KLoSA), a nationally representative longitudinal data collected every two years from 2006 to 2016. The sample was older adults aged 65 years and older in 2006 (N=1,668). Multimorbidity was measured as the self-reported number of medically-diagnosed chronic diseases, and Growth Mixture Modeling was used to examine multimorbidity trajectories. Identified patterns of multimorbidity trajectories were then used as outcome variables in multinomial logistic regression models. Independent variables were socio-demographic, psychological, health-related behavioral and interpersonal factors at baseline. At Wave1, 76% of the sample had no or one chronic disease and 24% had two or more. At Wave6, 49% had none or one and 51% had two or more. Results identified four patterns of multimorbidity trajectory: “maintaining-low” (59.1%; reference), “maintaining-high” (7.3%), “moderately increasing”(26.4%), and “rapidly increasing” (7.2%). In terms of the correlates of these patterns, female older adults and respondents with higher depressive symptoms were more likely to be in the “maintaining-high” group. In addition, respondents who had less frequent meetings with friends, neighbors or relatives were more likely to be in the “rapidly increasing” group. The findings suggest that there are distinct patterns of multimorbidity trajectories across older adulthood, and interventions focusing on depressive symptoms or social engagement may be useful in preventing the increase in multimorbidity.

Does subjective social status predict depressive symptoms in Chinese elderly? A longitudinal study from Hong Kong

2020 ◽  
pp. jech-2019-212451
Author(s):  
Elizabeth Kwong ◽  
Timothy T Y Kwok ◽  
Timothy S Sumerlin ◽  
William B Goggins ◽  
Jason Leung ◽  
...  
Keyword(s):  
Hong Kong ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Social Status ◽  
Protective Factor ◽  
Depression Scale ◽  
Subjective Social Status ◽  
Chinese Elderly ◽  
Future Risk ◽  
Perceived Social Status

BackgroundSubjective social status (SSS), one’s self-perceived social status, has been gaining interest among researchers as a risk/protective factor of many health outcomes. SSS encompasses both socio-economic factors (eg, income) and intangible aspects of status (eg, esteem from peers). This study’s main objective was to examine the association between SSS and future risk of depression in elderly Chinese.MethodsUsing data from the ongoing Mr/Mrs Os study, a longitudinal study of Hong Kong Chinese elderly, this study analysed baseline SSS-Hong Kong (self-perceived social status within Hong Kong) and SSS-Community (self-perceived status within one’s own social network) as predictors of Geriatric Depression Scale (GDS) score at year 4 (n=3153). The models adjusted for baseline depression scores, socio-economic status indicators, demographic variables, clinical conditions and functional status variables.ResultsHigher depression scores at follow-up were independently associated with lower SSS-Hong Kong (standardised β-coefficient= −0.040, p=0.017), lower SSS-Community (standardised β-coefficient= −0.057, p=0.001), in addition to older age, female gender and stroke history. After stratifying by dementia status, higher baseline SSS was associated with less depressive symptoms only in the non-dementia group. In the multivariable models that included both SSS variables, only SSS-Community was significantly associated with year 4 GDS score. However, both SSS variables were independently associated with year 4 depression status in the logistic regression analysis.ConclusionIn Chinese elderly, SSS captures aspects of social status that are not captured by traditional socio-economic indicators. SSS can be a useful supplementary tool for assessing future risk of developing mental health conditions.

scholarly journals How Does Health Status Affect Marginal Utility of Consumption? Evidence from China

2020 ◽  
Vol 17 (7) ◽  
pp. 2234
Author(s):  
Xiaoyu Wang ◽  
Chunan Wang
Keyword(s):  
Economic Development ◽  
Longitudinal Study ◽  
Health Status ◽  
Standard Deviation ◽  
Chronic Diseases ◽  
Marginal Utility ◽  
Elderly Individuals ◽  
Bequest Motives ◽  
Development Stages ◽  
The Us

This paper investigates how the deteriorating health status of an individual affects the marginal utility of non-medical consumption in China. By using 2011, 2013 and 2015 China Health and Retirement Longitudinal Study (CHARLS) data, we find that when the number of chronic diseases increases one standard deviation, the marginal utility of consumption will increase by 16.0% and 20.0% for samples of the middle-aged and elderly individuals over 50 and 65 years of age, respectively. This result is to some extent contrary to the findings from the US. Different economic development stages, intergenerational norms and bequest motives may be reasons for these contrasting patterns between China and the US.

scholarly journals Time-dependent depressive symptoms and risk of cardiovascular and all-cause mortality among the Chinese elderly: The Beijing Longitudinal Study of Aging

2018 ◽  
Vol 72 (4) ◽  
pp. 356-362 ◽  
Author(s):  
Haibin Li ◽  
Nicholas Van Halm-Lutterodt ◽  
Deqiang Zheng ◽  
Yue Liu ◽  
Jin Guo ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Time Dependent ◽  
Chinese Elderly ◽  
All Cause Mortality

scholarly journals Depressive Symptoms and the Link with Academic Performance among Rural Taiwanese Children

2020 ◽  
Vol 17 (8) ◽  
pp. 2778 ◽  
Author(s):  
Yujuan Gao ◽  
Derek Hu ◽  
Evan Peng ◽  
Cody Abbey ◽  
Yue Ma ◽  
...  
Keyword(s):  
At Risk ◽  
Academic Performance ◽  
Depressive Symptoms ◽  
Low Income ◽  
Depression Scale ◽  
Risk Groups ◽  
Epidemiological Studies ◽  
Depression Score ◽  
School Students ◽  
High Prevalence

Previous studies reflect a high prevalence of depressive symptoms among Taiwanese adolescents (ages 13–18), but there is an absence of literature related to the risk of depression of children in Taiwan (ages 6–12), particularly among potentially vulnerable subgroups. To provide insight into the distribution of depressive symptoms among children in rural Taiwan and measure the correlation between academic performance, we conducted a survey of 1655 randomly selected fourth and fifth-grade students at 92 sample schools in four relatively low-income counties or municipalities. Using the Center for Epidemiological Studies-Depression Scale (CES-D) we assessed the prevalence of depressive symptoms in this sample, in addition to collecting other data, such as performance on a standardized math test as well as information on a number of individual and household characteristics. We demonstrate that the share of children with clinically significant symptoms is high: 38% of the students were at risk of general depression (depression score ≥ 16) and 8% of the students were at risk of major depression (depression score > 28). The results of the multivariate regression and heterogeneous analysis suggest that poor academic performance is closely associated with a high prevalence of depressive symptoms. Among low-performing students, certain groups were disproportionately affected, including girls and students whose parents have migrated away for work. Results also suggest that, overall, students who had a parent who was an immigrant from another country were at greater risk of depression. These findings highlight the need for greater resource allocation toward mental health services for elementary school students in rural Taiwan, particularly for at-risk groups.

scholarly journals Exploring multilevel social determinants of depressive symptoms for Tanzanian adolescents: evidence from a cross-sectional study

2021 ◽  
pp. jech-2020-216200
Author(s):  
Leah Prencipe ◽  
Tanja AJ Houweling ◽  
Frank J van Lenthe ◽  
Tia M Palermo ◽  
Lusajo Kajula
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Social Determinants ◽  
Low Income ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Cross Sectional Study ◽  
Poor Mental Health ◽  
Low Income Countries ◽  
Cross Sectional

BackgroundDepression has substantial and enduring impacts for adolescents, particularly those living in poverty. Yet, evidence on its determinants in low-income countries remains scarce. We examined the social determinants of depressive symptoms for Tanzanian adolescents.MethodsWe used cross-sectional data for 2458 adolescents (aged 14–19), to describe associations with depressive symptoms within and across five domains—demographic, economic, neighbourhood, environmental and social-cultural—using linear mixed models. We estimated depressive symptoms using the 10-item Centre for Epidemiological Studies Depression Scale, which ranges from 0 to 30 and increases with additional symptoms.ResultsFactors associated with depressive symptoms in the fully adjusted models included experiencing five or more household economic shocks (β=2.40; 95% CI 1.48 to 3.32), experiencing droughts/floods (β=0.76; 95% CI 0.36 to 1.17), being in a relationship (β=1.82; 95% CI 1.30 to 2.33), and having moderate (β=1.26; 95% CI 0.80 to 1.71) or low (β=2.27; 95% CI 1.81 to 2.74) social support. Exclusive schooling was protective compared with being engaged in both school and paid work (β=1.07; 95% CI 0.05 to 2.61) and not engaged in either (β=0.73; 95% CI 0.24 to 1.22). Household size and relationship status were more important factors for girls, while employment status, and extreme precipitation were more important for boys.ConclusionMental health is associated with determinants from multiple domains. Results suggest that environmental shocks related to climate change contribute to poor mental health in adolescents, highlighting an important area for intervention and research.

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