Literature DB >> 22892113

Age and risk for depression among the elderly: a meta-analysis of the published literature.

Ke-Xiang Zhao1, Chang-Quan Huang, Qian Xiao, Yuan Gao, Qing-Xiu Liu, Zheng-Rong Wang, Yong-Hong Li, Yi-Zhou Xie.   

Abstract

OBJECTIVE: The goal of this study was to determine the relationship between age and risk for depression among the old and the oldest old. Method MEDLINE, EMBASE, and the Cochrane Library database were used to identify potential studies. The studies were divided into cross-sectional and longitudinal subsets. For each study, the numbers of the total participants, cases (for cross-sectional study), or incident cases (for longitudinal study) of depression in each age group were extracted and entered into Review Manager 4.2 software. Qualitative meta-analyses of cross-sectional studies and of longitudinal studies were performed. For prevalence and incidence rates of depression, odds risk (OR) and relative risk (RR) were calculated, respectively.
RESULTS: The qualitative meta-analyses showed that, compared with younger participants (above vs. below 65 years, above vs. below 70 years, above vs. below 75 years, and above vs. below 80 years), older age groups had a significantly higher risk for depression. (All of the ORs and RRs were significant.) Compared with participants aged 55-89, those aged above 90 years had no higher risk for depression. (Neither the OR nor the RR was significant.)
CONCLUSIONS: Despite the methodological limitations of this meta-analysis, older age appears to be an important risk factor for depression in the general elderly population (aged below 80 years), but not in the oldest population (aged above 85 years).

Entities:  

Mesh:

Year:  2012        PMID: 22892113     DOI: 10.1017/S1092852912000533

Source DB:  PubMed          Journal:  CNS Spectr        ISSN: 1092-8529            Impact factor:   3.790


  8 in total

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Journal:  Psychoneuroendocrinology       Date:  2016-06-15       Impact factor: 4.905

4.  A Comparative Study of Depression and Associated Risk Factors among Elderly Inmates of Old Age Homes and Community of Rajkot: A Gujarati Version of the Geriatric Depression Scale-Short Form (GDS-G).

Authors:  Dipeshkumar D Zalavadiya; Anupam Banerjee; Ankit M Sheth; Matib Rangoonwala; Aarohi Mitra; Amiruddin M Kadri
Journal:  Indian J Community Med       Date:  2017 Oct-Dec

5.  An Age-Period-Cohort Approach to Analyse Late-Life Depression Prevalence in Six European Countries, 2004-2016.

Authors:  Octavio Nicolas Bramajo
Journal:  Eur J Popul       Date:  2022-02-23

6.  Mental health status and associated contributing factors among the Hakka elderly in Fujian, China.

Authors:  Xiaojun Liu; Fengyu Liu; Wenqian Ruan; Yating Chen; Shuming Qu; Wenxin Wang
Journal:  Front Public Health       Date:  2022-07-22

7.  Does Type of Residential Housing Matter for Depressive Symptoms in the Aftermath of a Disaster? Insights From the Great East Japan Earthquake and Tsunami.

Authors:  Yuri Sasaki; Jun Aida; Taishi Tsuji; Yasuhiro Miyaguni; Yukako Tani; Shihoko Koyama; Yusuke Matsuyama; Yukihiro Sato; Toru Tsuboya; Yuiko Nagamine; Yoshihito Kameda; Tami Saito; Kazuhiro Kakimoto; Katsunori Kondo; Ichiro Kawachi
Journal:  Am J Epidemiol       Date:  2018-03-01       Impact factor: 4.897

8.  Long-term PM2.5 exposure and depressive symptoms in China: A quasi-experimental study.

Authors:  Tao Xue; Tianjia Guan; Yixuan Zheng; Guannan Geng; Qiang Zhang; Yao Yao; Tong Zhu
Journal:  Lancet Reg Health West Pac       Date:  2020-12-13
  8 in total

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