The prevalence of depressive symptoms among the older in China: a meta‐analysis

Zhang, Ling; Xu, Yong; Nie, Hu; Zhang, Yaodong; Wu, Yan

doi:10.1002/gps.2821

Cited by 113 publications

(96 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results revealed a prevalence rate of 11.6% among CDEP, which was similar to the findings of many previous studies in China (Chen et al, 2005;Phillips et al, 2009;Zhang et al, 2012;Li et al, 2012). The prevalence rate of hospitalized elderly people was relatively higher (18.1%), but it was slightly lower than the rates found in previous studies based on hospitalized population in China (Zhang et al, 2008;Liu et al, 2006).…”

Section: Discussionsupporting

confidence: 93%

See 1 more Smart Citation

Prevalence of depression and its associated factors among Chinese elderly people: A comparison study between community-based population and hospitalized population

Chen

Zeng

et al. 2016

Psychiatry Research

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 93%

“…Studies on Chinese elderly people indicated that the prevalence rate of geriatric depression ranged from 6% to 27% (Chen et al, 2005;Phillips et al, 2009;Zhang et al, 2012;Li et al, 2012). However, most of the existing studies were based on community population, and little was known about geriatric depression among institutionalized population.…”

mentioning

confidence: 95%

Prevalence of depression and its associated factors among Chinese elderly people: A comparison study between community-based population and hospitalized population

Chen

Zeng

et al. 2016

Psychiatry Research

View full text Add to dashboard Cite

“…Although there are some controversies related to the relevant study’s design, it has been shown that females express more hypochondriac concerns than males [29]. Moreover, because depression has been reported to be more prevalent in women, we presume that women are more likely than men to demonstrate overestimation of hearing loss [30]. However, female sex was not related to overestimation of hearing loss in this study (AOR = 0.86, [95% CI = 0.73–1.01]).…”

Section: Discussionmentioning

confidence: 99%

Discrepancy between self-assessed hearing status and measured audiometric evaluation

Kim

et al. 2017

PLoS ONE

View full text Add to dashboard Cite

ObjectiveThe purpose of this study was to examine the difference between self-reported hearing status and hearing impairment assessed using conventional audiometry. The associated factors were examined when a concordance between self-reported hearing and audiometric measures was lacking.MethodsIn total, 19,642 individuals ≥20 years of age who participated in the Korea National Health and Nutrition Examination Surveys conducted from 2009 through 2012 were enrolled. Pure-tone hearing threshold audiometry (PTA) was measured and classified into three levels: <25 dB (normal hearing); ≥25 dB <40 dB (mild hearing impairment); and ≥40 dB (moderate-to-severe hearing impairment). The self-reported hearing loss was categorized into 3 categories. The participants were categorized into three groups: the concordance (matched between self-reported hearing loss and audiometric PTA), overestimation (higher self-reported hearing loss compared to audiometric PTA), and underestimation groups (lower self-reported hearing loss compared to audiometric PTA). The associations of age, sex, education level, stress level, anxiety/depression, tympanic membrane (TM) status, hearing aid use, and tinnitus with the discrepancy between the hearing self-reported hearing loss and audiometric pure tone threshold results were analyzed using multinomial logistic regression analysis with complex sampling.ResultsOverall, 80.1%, 7.1%, and 12.8% of the participants were assigned to the concordance, overestimation, and underestimation groups, respectively. Older age (adjusted odds ratios [AORs] = 1.28 [95% confidence interval = 1.19–1.37] and 2.80 [2.62–2.99] for the overestimation and the underestimation groups, respectively), abnormal TM (2.17 [1.46–3.23] and 1.59 [1.17–2.15]), and tinnitus (2.44 [2.10–2.83] and 1.61 [1.38–1.87]) were positively correlated with both the overestimation and underestimation groups. Compared with specialized workers, service workers, manual workers, and the unemployed were more likely to be in the overestimation group (1.48 [1.11–1.98], 1.39 [1.04–1.86], and 1.50 [1.18–1.90], respectively), and service workers were more likely to be in the underestimation group (AOR = 1.42 [1.01–1.99]). Higher education level (0.77 [0.59–1.01] and 0.43 [0.33–0.57]) and hearing aid use (0.36 [0.17–0.77] and 0.23 [0.13–0.43]) were negatively associated with being in the underestimation group (0.43 [0.37–0.50]). Compared with males, females were less likely to be assigned to the underestimation group (0.43 [0.37–0.50]). Stress (1.98 [1.32–2.98]) and anxiety/depression (1.30 [1.06–1.59]) were associated with overestimation group.ConclusionOlder age, lower education level, occupation, abnormal TM, non-hearing aid use, and tinnitus were related to both overestimation and underestimation groups. Male gender was related to underestimation, and stress and anxiety/depression were correlated with overestimation group. An understanding of these factors associated with the self-reported hearing loss will be instrumental to identifying and managing hearin...

show abstract

“…A recent meta-analysis shows that the mean pooled prevalence rate of depression in rural older Chinese was 29.2%, significantly higher than it was in urban older Chinese (20.5%) (Zhang, Xu, Nie, Zhang, & Wu, 2012). Most prior studies have not controlled for other factors when examining the association between rural-urban strata and late-life depression.…”

mentioning

confidence: 99%

Understanding Rural–Urban Differences in Depressive Symptoms Among Older Adults in China

et al. 2015

View full text Add to dashboard Cite

Objectives Studies have reported that rural elders in China have higher levels of depression than their urban peers. We aimed to examine the extent to which four sets of factors (socioeconomic status (SES), healthcare access, health status, social support and participation) account for such rural-urban differences. Methods Cross-sectional data from the 2011 China Health and Retirement Longitudinal Study were analyzed. A representative sample (N = 5,103) of older Chinese (age 60+) was included. Depressive symptoms were measured by the CESD-10. Multilevel linear regression was conducted. Results Rural elders had more depressive symptoms than urban elders. When SES at the individual-, household- and community-level was simultaneously controlled, the rural-urban difference lost its statistical significance. Health status, social support and social participation accounted for some, whereas healthcare access explained almost none, of the rural-urban difference. Discussion Results suggest that SES is the predominant factor accounting for the rural-urban depression gap in China.

show abstract

The prevalence of depressive symptoms among the older in China: a meta‐analysis

Abstract: The prevalence of depressive symptoms among the older in China was a little high, and it was varied by gender, age, area, and education level.

Cited by 113 publications

References 36 publications

Prevalence of depression and its associated factors among Chinese elderly people: A comparison study between community-based population and hospitalized population

Prevalence of depression and its associated factors among Chinese elderly people: A comparison study between community-based population and hospitalized population

Discrepancy between self-assessed hearing status and measured audiometric evaluation

Understanding Rural–Urban Differences in Depressive Symptoms Among Older Adults in China

Contact Info

Product

Resources

About