Determinants of Depression among poor Elderly Women: Findings from refugee and non-refugee Communities in the Outskirts of Beirut, Lebanon

Saab, Bassem; El-Roueiheb, Zana; Chaaya, Monique; Sibai, Abla Mehio

doi:10.5964/ejop.v1i3.374

Cited by 4 publications

(5 citation statements)

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“…With regard to age, the results showed that this did not have a significant impact on depression for those living in rural areas, but it did have a significant influence on those living in urban areas. This finding was quite similar to those from Bassem et al (2005) and Le et al (2017). In terms of sex, being male resulted in a lower probability of being depressed than being female in urban areas, while there was no such difference in rural areas.…”

Section: Determinants Of Depression Among Older Peoplesupporting

confidence: 92%

“…In both areas, experiencing financial difficulties and domestic violence was found to increase depression in older people. This was quite a common finding for various countries with different socio-economic settings (Bassem et al, (2005); Maulik & Dasgupta (2012);and Borges et al, (2013)).…”

Section: Determinants Of Depression Among Older Peoplementioning

confidence: 60%

“…Using cross-sectional data from the Center for Research and Population Health of the American University of Beirut involving 3,300 households from three poor communities in metropolitan Beirut, Bassem, El-Roueiheb, Chaaya and Sibai (2005) examined factors associated with depression in female elderly people. Using a bivariate data analysis with selected demographic, socio-economic and health variables, this study found that the prevalence rate of depression among elderly women was 29.6%, which was higher than that for elderly women in other neighboring countries.…”

Section: Literature Reviewmentioning

confidence: 99%

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Factors Associated with Depression among Older People in Vietnam

Giang¹,

Nguyen²,

Tran³

et al. 2019

JPSS

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Depression is one of the leading causes of disease burdens in recent years, and it is expected to continue to be so in the coming decades. Depression among older people (defined as those 60 years and older) is associated with disability, increased mortality, and poorer outcomes from physical illness, but it is often under-recognized and under-treated since people know little about the underlying factors influencing it in the elderly, and how they are correlated. This paper aimed to investigate the various factors associated with depressive symptoms among Vietnam's elderly population. We used the first-ever nationally representative data for older people, namely, the Vietnam Aging Survey (VNAS) in 2011, along with probit regression models to identify these factors. We found that, for both urban and rural areas, older people who experienced domestic violence, who did not have enough finance for daily living, and who lived alone were more likely to be depressed than their counterparts. In contrast, marital status, educational level, working status, mutual support between older people and their children, and participation in social activities were not factors significantly related to their depression. Due to different living conditions and arrangements, the depression contexts of urban and rural older people were significantly determined by different factors, such as the roles in family decision-making and the burden of care of great-grandchildren or other family members.

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Section: Determinants Of Depression Among Older Peoplesupporting

confidence: 92%

Section: Determinants Of Depression Among Older Peoplementioning

confidence: 60%

Section: Literature Reviewmentioning

confidence: 99%

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Factors Associated with Depression among Older People in Vietnam

Giang¹,

Nguyen²,

Tran³

et al. 2019

JPSS

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“…Depression is a common and chronic mental health problem faced by older people (Lai, ; Mui & Kang, ), with Chinese older people of no exception (Lai & Tong, ; Zeng & Chan, ; Zeng, North, & Kent, ). Depressive disorders are characterized by a cluster of symptoms including fatigue, reduced energy, reduced pleasure and interest, prevailing sad mood, and increased risk of suicide, disability, and mortality (Chong et al., ; Neugebauer, ; Saab, El‐Roueiheb, Chaaya, & Sibai, ). The World Health Organization (Barua, Ghosh, Kar, & Basilio, ; Rangaswamy, ) has estimated that the prevalence rate of depression among older adults in the world varies between 10% and 20% depending on cultural contexts.…”

mentioning

confidence: 99%

Ageism and Depression: Perceptions of Older People as a Burden in China

Bai

Lai

Guo

2016

Journal of Social Issues

146

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Traditional values and beliefs about aging and older adults appear to be changing in China, as a result of transformations in family structure and social system in the context of rapid modernization and economic growth. This study examined the effects of burden views toward Chinese older adults on their depressive symptoms based on a secondary analysis of data collected from a sample of 954 Chinese adults aged 60 and over in Jiangsu Province. After controlling for sociodemographic, health, and family relationship variables, results of hierarchical multiple regression analysis revealed that participants with stronger views of older people as a burden to family and society were at higher risk of depressive symptoms. Findings of this study can inform the development of policies and programs to address mental health challenges facing older adults in China, focusing on helping them get rid of the burden views about older people, improving family relationship quality, and fostering a positive attitude toward aging in the wider society.

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“…Most studies in Lebanon have focused on nursing home populations Doumit & Nasser, 2010), on older persons living in refugee camps and 'vulnerable' communities (Chaaya, Sibai, Fayad, & El-Roueiheb, 2007;Saab, El-Roueiheb, Chaaya, & Sibai, 2005) or on policy and macro analyses (Chemali, Hospers et al, 2007;Sibai et al, 2004). Some examine particular aspects of older peoples' lives and health arising as data subsets of larger general population studies, primarily smoking, cardiovascular disease, nutrition, mortality rates, and residence patterns (Chaaya, Mehio-Sibai, & El-Chemaly, 2006;MOSA, 2009;Sibai, Beydoun, & Tohme, 2009;Sibai, Kanaan, Chaaya, & Campbell, 2007;Sibai, Yount, & Fletcher, 2007).…”

Section: Introductionmentioning

confidence: 99%