Literature DB >> 20565049

Education and risk for late life depression: a meta-analysis of published literature.

Huang Chang-Quan1, Wang Zheng-Rong, Li Yong-Hong, Xie Yi-Zhou, Liu Qing-Xiu.   

Abstract

OBJECTIVE: Less education is commonly viewed as an important risk factor for late life depression. However, this has still not been confirmed. The goal of this study was to determine the relationship between education and risk for depression among the 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. The qualitative meta-analysis of cross-sectional studies and that of longitudinal studies were preformed, respectively. For prevalence and incidence rates of depression, odds risk (OR) and relative risk (RR) were calculated, respectively.
RESULTS: Twenty-four cross-sectional and 12 prospective longitudinal studies were included in this review. In this meta-analysis, in the more and less education groups, there were 22,964 and 28,024 subjects and 3032 and 6462 cases of depression, respectively. The qualitative meta-analysis showed that, compared with old people with more education, those with less education had higher risk for depression (odds risk (OR): 1.58, 95% confidence intervals (95% CI): 1.38-1.82; Relative risk (RR): 1.49, 95% CI: 1.16-1.91).
CONCLUSIONS: Despite the methodological limitations of this meta-analysis, less education is associated with increase risk of late life depression.

Entities:  

Mesh:

Year:  2010        PMID: 20565049     DOI: 10.2190/PM.40.1.i

Source DB:  PubMed          Journal:  Int J Psychiatry Med        ISSN: 0091-2174            Impact factor:   1.210


  38 in total

1.  Educational inequalities in late-life depression across Europe: results from the generations and gender survey.

Authors:  Thomas Hansen; Britt Slagsvold; Marijke Veenstra
Journal:  Eur J Ageing       Date:  2017-03-27

2.  Depression statuses and related predictors in later life: A 10-year follow-up study in Israel.

Authors:  Rabia Khalaila
Journal:  Eur J Ageing       Date:  2016-06-28

3.  Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

Authors:  Meenal J Patel; Carmen Andreescu; Julie C Price; Kathryn L Edelman; Charles F Reynolds; Howard J Aizenstein
Journal:  Int J Geriatr Psychiatry       Date:  2015-02-17       Impact factor: 3.485

Review 4.  Geriatric depression in primary care.

Authors:  Mijung Park; Jürgen Unützer
Journal:  Psychiatr Clin North Am       Date:  2011-06

5.  Depression in the elderly: clinical features and risk factors.

Authors:  Gülfizar Sözeri-Varma
Journal:  Aging Dis       Date:  2012-10-21       Impact factor: 6.745

Review 6.  Late-life depression: issues for the general practitioner.

Authors:  Axel Van Damme; Tom Declercq; Lieve Lemey; Hannelore Tandt; Mirko Petrovic
Journal:  Int J Gen Med       Date:  2018-03-29

Review 7.  What are the causes of late-life depression?

Authors:  Rehan Aziz; David C Steffens
Journal:  Psychiatr Clin North Am       Date:  2013-10-06

8.  The risk factors for depression in cancer patients undergoing chemotherapy: a systematic review.

Authors:  Shuangshuang Wen; Huimin Xiao; Yanqing Yang
Journal:  Support Care Cancer       Date:  2018-09-17       Impact factor: 3.603

9.  Educational inequalities in mental disorders in the Czech Republic: data from CZEch Mental health Study (CZEMS).

Authors:  Marie Kuklová; Anna Kagstrom; Matěj Kučera; Karolína Mladá; Petr Winkler; Pavla Cermakova
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2020-08-12       Impact factor: 4.328

10.  Bipolar symptoms, somatic burden, and functioning in older-age bipolar disorder: Analyses from the Global Aging & Geriatric Experiments in Bipolar Disorder Database project.

Authors:  Martha Sajatovic; Annemiek Dols; Soham Rej; Osvaldo P Almeida; Alexandra J M Beunders; Hilary P Blumberg; Farren B S Briggs; Brent P Forester; Regan E Patrick; Orestes V Forlenza; Ariel Gildengers; Esther Jimenez; Eduard Vieta; Benoit Mulsant; Sigfried Schouws; Nadine Paans; Sergio Strejilevich; Ashley Sutherland; Shangying Tsai; Betsy Wilson; Lisa T Eyler
Journal:  Bipolar Disord       Date:  2021-08-12       Impact factor: 6.744

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.