Literature DB >> 30777704

Urban-Rural Differences in Older Adult Depression: A Systematic Review and Meta-analysis of Comparative Studies.

Jonathan Purtle1, Katherine L Nelson2, Yong Yang3, Brent Langellier2, Ivana Stankov4, Ana V Diez Roux5.   

Abstract

CONTEXT: Depression among older adults (aged 60 years or older) is a problem that could be exacerbated by global trends in urbanization and population aging. The study purpose was to assess whether urban, relative to rural, residence is associated with depression among older adults and whether associations differ in countries with developed versus developing economies. EVIDENCE ACQUISITION: In 2017, the authors identified and extracted information from comparative studies of urban-rural depression prevalence among older adults. Studies were identified in PubMed, PsychINFO, and Web of Science and limited to English language articles published after 1985. Eighteen studies met inclusion criteria. Random effects meta-analysis was conducted to produce weighted pooled ORs estimating the association between urban-rural residence and depression for all study participants (N=31,598) and sub-analyses were conducted for developed (n=12,728) and developing (n=18,870) countries. EVIDENCE SYNTHESIS: Depression prevalence was significantly higher among urban residents in ten studies and significantly higher among rural residents in three studies (all three conducted in China). Associations between urban-rural residence and depression generally remained significant after adjusting for covariates. In developed countries, the odds of depression were significantly higher among urban than rural residents (pooled OR=1.44, 95% CI=1.10, 1.88). However, in developing countries, this association was not observed (pooled OR=0.91, 95% CI=0.46, 1.77).
CONCLUSIONS: Converging trends of urbanization and population aging could increase the global burden of depression among older adults. The pathways through which urban-rural residence influences depression risk among older adults might differ by country context. Future research should focus on measuring variation in these contexts.
Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2019        PMID: 30777704     DOI: 10.1016/j.amepre.2018.11.008

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  25 in total

1.  Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach.

Authors:  Marco Helbich; Julian Hagenauer; Hannah Roberts
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2019-11-14       Impact factor: 4.328

2.  Inequalities in elevated depressive symptoms in middle-aged and older adults by rural childhood residence: The important role of education.

Authors:  Audrey R Murchland; Chloe W Eng; Joan A Casey; Jacqueline M Torres; Elizabeth Rose Mayeda
Journal:  Int J Geriatr Psychiatry       Date:  2019-08-04       Impact factor: 3.485

3.  Residence in urban and rural areas over the life course and depression among Ghanaian and South African older adults.

Authors:  Dzifa Adjaye-Gbewonyo; George W Rebok; Joseph J Gallo; Alden L Gross; Carol R Underwood
Journal:  Health Place       Date:  2020-06-04       Impact factor: 4.078

4.  Neighborhood Characteristics and the Mental Health of Caregivers Cohabiting with Care Recipients Diagnosed with Alzheimer's Disease.

Authors:  Dana M Alhasan; Jana A Hirsch; Chandra L Jackson; Maggi C Miller; Bo Cai; Matthew C Lohman
Journal:  Int J Environ Res Public Health       Date:  2021-01-21       Impact factor: 3.390

5.  Are Rurality, Area Deprivation, Access to Outside Space, and Green Space Associated with Mental Health during the COVID-19 Pandemic? A Cross Sectional Study (CHARIS-E).

Authors:  Gill Hubbard; Chantal den Daas; Marie Johnston; Peter Murchie; Catharine Ward Thompson; Diane Dixon
Journal:  Int J Environ Res Public Health       Date:  2021-04-07       Impact factor: 3.390

6.  Association of Symptoms of Depression With Cardiovascular Disease and Mortality in Low-, Middle-, and High-Income Countries.

Authors:  Selina Rajan; Martin McKee; Sumathy Rangarajan; Shrikant Bangdiwala; Annika Rosengren; Rajeev Gupta; Vellappillil Raman Kutty; Andreas Wielgosz; Scott Lear; Khalid F AlHabib; Homer U Co; Patricio Lopez-Jaramillo; Alvaro Avezum; Pamela Seron; Aytekin Oguz; Iolanthé M Kruger; Rafael Diaz; Mat-Nasir Nafiza; Jephat Chifamba; Karen Yeates; Roya Kelishadi; Wadeia Mohammed Sharief; Andrzej Szuba; Rasha Khatib; Omar Rahman; Romaina Iqbal; Hu Bo; Zhu Yibing; Li Wei; Salim Yusuf
Journal:  JAMA Psychiatry       Date:  2020-10-01       Impact factor: 21.596

7.  Rural-Urban Inequalities in Poor Self-Rated Health, Self-Reported Functional Disabilities, and Depression among Chinese Older Adults: Evidence from the China Health and Retirement Longitudinal Study 2011 and 2015.

Authors:  Haiting Jiang; Bo Burström; Jiaying Chen; Kristina Burström
Journal:  Int J Environ Res Public Health       Date:  2021-06-18       Impact factor: 3.390

8.  Influence of Individual and Contextual Perceptions and of Multiple Neighborhoods on Depression.

Authors:  Médicoulé Traoré; Cécile Vuillermoz; Pierre Chauvin; Séverine Deguen
Journal:  Int J Environ Res Public Health       Date:  2020-03-17       Impact factor: 3.390

9.  Rural-Urban Differences in the Factors Affecting Depressive Symptoms among Older Adults of Two Regions in Myanmar.

Authors:  Yuri Sasaki; Yugo Shobugawa; Ikuma Nozaki; Daisuke Takagi; Yuiko Nagamine; Masafumi Funato; Yuki Chihara; Yuki Shirakura; Kay Thi Lwin; Poe Ei Zin; Thae Zarchi Bo; Tomofumi Sone; Hla Hla Win
Journal:  Int J Environ Res Public Health       Date:  2021-03-10       Impact factor: 3.390

10.  Gender, marital and educational inequalities in mid- to late-life depressive symptoms: cross-cohort variation and moderation by urbanicity degree.

Authors:  Milagros A Ruiz; Marielle A Beenackers; Dany Doiron; Asli Gurer; Aliou Sarr; Nazmul Sohel; Erik J Timmermans; Rita Wissa; Basile Chaix; Martijn Huisman; Steinar Krokstad; Ruzena Kubinova; Sofia Malyutina; Parminder Raina; Abdonas Tamosiunas; Frank J van Lenthe; Martin Bobak
Journal:  J Epidemiol Community Health       Date:  2020-11-05       Impact factor: 3.710

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