Literature DB >> 33802054

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

Yuri Sasaki1, Yugo Shobugawa2, Ikuma Nozaki3, Daisuke Takagi4, Yuiko Nagamine5, Masafumi Funato6, Yuki Chihara2, Yuki Shirakura2, Kay Thi Lwin7, Poe Ei Zin7, Thae Zarchi Bo7, Tomofumi Sone8, Hla Hla Win7.   

Abstract

The aim of the study was to investigate rural-urban differences in depressive symptoms in terms of the risk factors among older adults of two regions in Myanmar to provide appropriate intervention for depression depending on local characteristics. This cross-sectional study, conducted between September and December, 2018, used a multistage sampling method to recruit participants from the two regions, for face-to-face interviews. Depressive symptoms were assessed using the 15-item version of the Geriatric Depression Scale (GDS). Depressive symptoms were positively associated with living in rural areas (B = 0.42; 95% confidence interval (CI): 0.12,0.72), female (B = 0.55; 95% CI: 0.31,0.79), illness during the preceding year (B = 0.68; 95% CI: 0.45,0.91) and non-Buddhist religion (B = 0.57; 95% CI: 0.001,1.15) and protectively associated with education to middle school level or higher (B = -0.61; 95% CI: -0.94, -0.28) and the frequency of visits to religious facilities (B = -0.20; 95% CI: -0.30, -0.10). In women in urban areas, depressive symptoms were positively associated with illness during the preceding year (B = 0.78; 95% CI: 0.36, 1.20) and protectively associated with education to middle school level or higher (B = -0.67; 95% CI: -1.23, -0.11), middle or high wealth index (B = -0.92; 95% CI: -1.59, -0.25) and the frequency of visits to religious facilities (B = -0.20; 95% CI: -0.38, -0.03). In men in rural areas, illness during the preceding year was positively associated with depressive symptoms (B = 0.87; 95% CI: 0.33, 1.42). In women in rural areas, depressive symptoms were positively associated with illness during the preceding year (B = 0.83; 95% CI: 0.36, 1.30) and protectively associated with primary education (B = -0.62; 95% CI: -1.12, -0.12) and the frequency of visits to religious facilities (B = -0.44; 95% CI: -0.68, -0.21). Religion and wealth could have different levels of association with depression between older adults in the urban and rural areas and men and women. Interventions for depression in older adults should consider regional and gender differences in the roles of religion and wealth in Myanmar.

Entities:  

Keywords:  Myanmar; depressive symptom; gender differences; older adult; urban and rural area

Year:  2021        PMID: 33802054      PMCID: PMC7999321          DOI: 10.3390/ijerph18062818

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  52 in total

1.  Correlates of late-life major depression: a comparison of urban and rural primary care patients.

Authors:  Bruce Friedman; Yeates Conwell; Rachel L Delavan
Journal:  Am J Geriatr Psychiatry       Date:  2007-01       Impact factor: 4.105

2.  Comparisons of the prevalence of and risk factors for elderly depression between urban and rural populations in Japan.

Authors:  Y Abe; N Fujise; R Fukunaga; Y Nakagawa; M Ikeda
Journal:  Int Psychogeriatr       Date:  2012-02-20       Impact factor: 3.878

3.  Understanding Rural-Urban Differences in Depressive Symptoms Among Older Adults in China.

Authors:  Lydia W Li; Jinyu Liu; Hongwei Xu; Zhenmei Zhang
Journal:  J Aging Health       Date:  2015-06-22

Review 4.  Geriatric depression in primary care.

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

5.  Association between depressive symptoms and objective/subjective socioeconomic status 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:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

6.  Depressive Symptoms and Family Functionality in the Elderly With Diabetes Mellitus.

Authors:  Diego Micael Barreto Andrade; Roseanne Montargil Rocha; Icaro Jose Santos Ribeiro
Journal:  Issues Ment Health Nurs       Date:  2019-09-23       Impact factor: 1.835

7.  Prevalence and sociodemographic correlates of depression in an elderly population living with family members in Beijing, China.

Authors:  X Ma; Y-T Xiang; S-R Li; Y-Q Xiang; H-L Guo; Y-Z Hou; Z-J Cai; Z-B Li; Z-J Li; Y-F Tao; W-M Dang; X-M Wu; J Deng; G S Ungvari; H F K Chiu
Journal:  Psychol Med       Date:  2008-03-26       Impact factor: 7.723

8.  Perceptions of the religion--health connection among African Americans in the southeastern United States: sex, age, and urban/rural differences.

Authors:  Cheryl L Holt; Emily Schulz; Theresa A Wynn
Journal:  Health Educ Behav       Date:  2007-07-25

Review 9.  Depression in late life: review and commentary.

Authors:  Dan G Blazer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2003-03       Impact factor: 6.053

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  3 in total

1.  Social participation and depressive symptoms among older adults during the Covid-19 pandemic in Serbia: A cross-sectional study.

Authors:  Nataša Egeljić-Mihailović; Nina Brkić-Jovanović; Tatjana Krstić; Dragana Simin; Dragana Milutinović
Journal:  Geriatr Nurs       Date:  2021-12-21       Impact factor: 2.525

2.  Subjective Assessments of Quality of Life Are Independently Associated with Depressive Symptoms among Older Adults Enrolled in Primary Care in Chile.

Authors:  Ximena Moreno; Hugo Sánchez; Martín Huerta; Ximena Cea; Carlos Márquez; Cecilia Albala
Journal:  J Pers Med       Date:  2022-06-29

3.  Association between Happiness and Economic Status among Older Adults in Two Myanmar Regions.

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:  2022-03-09       Impact factor: 3.390

  3 in total

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