The prevalence of depressive symptoms and its determinants among adults in mainland China: Results from a national household survey

Xu, Wen; Sun, Haiyan; Zhu, Bo; Yu, Xiao; Niu, Yaling; Kou, Changgui; Li, Wenjun

doi:10.1016/j.jad.2020.12.009

Cited by 36 publications

(27 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With rapid economic growth and changes in lifestyles, China is undergoing a rapid epidemiological transition from infectious diseases to non-communicable diseases (NCD). Mental disorders such as depression are an important but often overlooked non-communicable disease, which is becoming an increasingly serious cause of disability, suicide and the burden of disease ( 13 ). A study in China showed that a vegetable-based diet was independently associated with a higher prevalence of depressive symptoms in older Chinese men ( 14 ).…”

Section: Introductionmentioning

confidence: 99%

“…A previous meta-analysis reported that the combined prevalence of depressive symptoms in the elderly in China is 22.7%, and the prevalence of depressive symptoms in women (24.2%) is slightly higher than that of men (19.4%) ( 17 ). Although the number of people suffering from depression has increased in recent years, compared with other developed countries, there have been relatively few studies on depression in China ( 13 ). In cross-sectional and prospective studies, both the Mediterranean diet and the “anti-inflammatory” diet are associated with lowering the risk of depression ( 18 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Joint Association Between Multiple Dietary Patterns and Depressive Symptoms in Adults Aged 55 and Over in Northern China

Zhan

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

BackgroundDepression is a common psychiatric disorder in older adults that affects their health-related quality of life. Two percent of adults over the age of 55 suffer from major depression, and the prevalence of depression increases with age. Even in the absence of major depressive disorder, 10–15% of older adults have clinically significant depressive symptoms.ObjectivesEpidemiological studies on the association between different gender eating patterns and depression show inconsistent associations. Our study examined whether different gender eating patterns are related to depression. We consider eating patterns individually and as a joint exposure to predefined eating patterns.MethodsPrincipal component analysis (PCA) was performed on the data of the 24-h diet recall dietary intake, and the dietary pattern was determined. Linear regression models are used to explore the relationship between different diets and depression of men and women; weighted quantile sum (WQS) regression, quantile g calculation (qgcomp) and Bayesian kernel machine regression (BKMR) are performed as Secondary analysis.ResultsIn the dietary patterns model, we found that the vegetable and fruit-based diet has a significant inhibitory effect in women, and the egg-milk-based diet has a significant inhibitory effect in men. We found that when all dietary factors are above the 55th percentile, there is a significant positive correlation between multiple dietary patterns and depression risk. We also determined a positive correlation between meat and obesity risk and a negative correlation between egg and milk and vegetables and fruits.ConclusionsIn the study population, after controlling for other baseline indicators and predictors of dietary pattern exposure, a fruit and vegetable-based diet was associated with a slightly healthier and lower risk of depression, while a meat-based dietary pattern associated with a higher risk of depression, and this association effect varies between genders.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Joint Association Between Multiple Dietary Patterns and Depressive Symptoms in Adults Aged 55 and Over in Northern China

Zhan

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

show abstract

“…The association between social capital and oral health was also found in other countries, including England [ 18 ], Indonesia [ 19 , 20 ], South African [ 21 ], Korea [ 22 ], India [ 23 ]. Although studies have explored the association between social capital and different health outcomes in the Chinese context, including, loneliness [ 24 , 25 ], depression [ 26 – 28 ], life satisfaction [ 29 ], self-rated health [ 30 – 32 ], mental health [ 33 , 34 ], health-related quality of life [ 35 , 36 ], cognitive functions [ 37 ], however, no study has explored its association with oral health. Due to different epidemiological characteristics of oral health conditions and differences in political, socioeconomic, cultural context, and health care system in China, social capital may have a different effect on oral health.…”

Section: Introductionmentioning

confidence: 99%

Association between social capital and oral health among adults aged 50 years and over in China: a cross-sectional study

Guo

Jonasson

2022

BMC Oral Health

View full text Add to dashboard Cite

Background Social capital has a potential effect in protecting oral health among population. However, no study has explored the association between social capital and oral health in the Chinese context. Due to the unique culture, political, social context in China, it is important to understand their association in the Chinese context. The study aims to investigate the association between cognitive and structural dimensions of social capital with edentulism among adults aged 50 years and over in China. Method The study used data from the WHO SAGE (Study on Global AGEing and Adult Health) wave 1 China component. Structural social capital was operationalized as social participation. Cognitive social capital was operationalized as perceived community trust and perceived community safety. Community-level social capital was measured by aggregating individual-level social capital into community level. Oral health was measured using a final marker of oral health status, self-reported edentulism. A 2-level multilevel logistic regression was used to evaluate the association between different dimensions of social capital and oral health. Results In total, 12,856 individuals were included in the study, the overall prevalence of edentulism was 9.1% (95% CI 8.3–10.0). Multilevel logistic analysis revealed that individual-level social capital and community-level social capital are independently associated with edentulism. Individuals with low structural social capital and living in areas with low structural social capital have, respectively, 1.54 (95% CI 1.18–2.01) and 2.14 (95% CI 1.47–3.12) times higher odds for edentulism, after adjustment for potential confounders (age, sex, marital status, residence locality, wealth, education level, chronic conditions) and a potential mediator(smoking). Conclusions Living in a community with lower structural social capital and individual with low structural social capital is associated with higher risk for edentulism among adults aged 50 years and over in China.

show abstract

“…In addition to geographical differences, age may be a key factor. A lower prevalence of DSs (15.94%) was reported in Chinese older adults (aged ≥ 60 years) in 2016 [5], whereas 23.4% of Chinese adults aged 16 years and above were depressed in 2016 [23]. Moreover, differences in samples, depression measurement tools, and analysis methods may also explain certain differences in prevalence.…”

Section: Discussionmentioning

confidence: 90%

Couple-based Study on the Association Between Chronic Diseases and Depressive Symptoms in China: a Cross-section Study

Zhou

Ren

Chen

et al. 2022

Preprint

View full text Add to dashboard Cite

Background: We explored the association between several chronic diseases and depressive symptoms (DSs) at individual and couple levels.Methods: Data were derived from the 2018 China Health and Retirement Longitudinal Study, including 5365 middle-aged and elderly couples. DSs were measured using the 10-item Center for Epidemiological Studies Depression Scale, and chronic diseases were determined by self-report and doctor diagnosis. Multivariate logistic regression models were used to estimate the association between chronic diseases and DSs.Results: Couples’ unilaterality with different numbers of chronic diseases had increased 16%–289% risk on their own DSs and 24%–39% risk on spousal DSs. Couples with different numbers of chronic diseases increased their co-depression by 183%–834%, which was mainly increased in wives’ depressive symptoms (WDSs) by 51%–301%, more severe than husbands’ depressive symptoms (HDSs). WDSs and HDSs increased by 13%–111% in couples with unilateral respiratory disease, dyslipidaemia, digestive disease, arthritis, kidney disease, stroke, memory-related disease and by 24%–244% in couples’ co-morbidity of respiratory, metabolic, and digestive diseases, arthritis, heart problem, kidney disease, stroke. Further, co-depression increased by 34%–458% in couples with unilaterality/co-morbidity of these chronic diseases.Conclusions: Couples’ unilaterality/co-morbidity of most chronic diseases were associated with WDSs, HDSs, and co-depression. WDSs were more susceptible to chronic diseases than HDSs. Physical health of an individual could predict not only his/her own mental health but also his/her spouse’s mental health.

show abstract

The prevalence of depressive symptoms and its determinants among adults in mainland China: Results from a national household survey

Cited by 36 publications

References 37 publications

The Joint Association Between Multiple Dietary Patterns and Depressive Symptoms in Adults Aged 55 and Over in Northern China

The Joint Association Between Multiple Dietary Patterns and Depressive Symptoms in Adults Aged 55 and Over in Northern China

Association between social capital and oral health among adults aged 50 years and over in China: a cross-sectional study

Couple-based Study on the Association Between Chronic Diseases and Depressive Symptoms in China: a Cross-section Study

Contact Info

Product

Resources

About