Prevalence of Depression among elderly living in old age homes of Kathmandu Valley and its association with Sociodemographic variants

Kafle, Bharat; Sharma, Vineet; Ojha, Saroj Prasad; Chapagain, Manisha; Tulachan, P; Dhungana, Saraswati

doi:10.3126/jpan.v4i1.16742

Cited by 10 publications

(12 citation statements)

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“…This evidence agreed with the evidence revealed from Brazil, Sri Lanka, and India [ 32 , 44 , 45 ] respectively. The possible explanations for the discrepancies between females and males being exposed to depression because of biological differences, that is females affected by pregnancy and related physiological changes [ 32 ]. And also females take the majority of household responsibilities, and they depend on men economically; particularly in poorer settings [ 44 ].…”

Section: Discussionsupporting

confidence: 91%

“…We had also assessed clinical conditions that might contribute to depression such as hypertension, diabetes mellitus, heart diseases, epilepsy, and HIV/AIDS. Geriatric depression scale item 15 has been extensively tested and validated in low and middle-income countries such as India, Nepal, and other Asian countries [ 15 , 31 , 32 ]. It has been also checked in Ethiopian regions by previous studies [ 6 , 7 ].…”

Section: Methodsmentioning

confidence: 99%

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Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia

Mulat¹,

Gutema

Wassie

2021

BMC Psychiatry

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Background Depression is a common mental disorder that suffers many elderly people who are neglected, their problems are overlooked, and no efforts are made to mitigate their suffering. It is a mental health problem which is both underdiagnosed and under treated in primary care settings. This study was aimed to assess the prevalence and associated factors of depression among elderly people in Womberma District, Ethiopia. Methods A community based cross-sectional study was conducted from March 10/2020 - April 08/2020. From a 2269 study population, 959 study participants were selected by using computer-generated simple random sampling techniques from selected kebeles. Data were collected using Geriatric depression scale item 15 through face-to-face interviews. Then, entered into EpiData version 3.1 and then exported to SPSS version 23.0 for analyses. Bi-variable and multivariable logistic regression models were fitted to identify associated factors of depression. An adjusted odds ratio with 95% confidence interval was reported and statistical significance was declared at P-values < 0.05. Results The prevalence of depression among elderly people was 45% [95% CI: 41.7–48.5%]. Being female [AOR = 1.60, 95% CI [(1.15–2.23)], (age > =75 years [AOR = 7.95, 95% CI (4.98–12.68)], age 70–74 years [AOR = 5.52, 95% CI (3.52–8.66)], age 65–69 years [AOR = 2.39,95% CI (1.54–3.70)]; divorced [AOR = 2.53, 95% CI (1.59–4.03)], widowed [AOR = 2.65, 95% CI (1.61–4.34)]; poor social support [AOR = 3.32, 95% CI (1.77–6.23)] and presence of known chronic disease [AOR = 1.91, 95% CI (1.30–2.81)] were significantly associated factors with depression. Conclusions In this study, the prevalence of depression among elderly people was high compared with previous studies done in other parts of Ethiopia. Older age, being female, marital loss, presence of known chronic disease, and poor social support were contributing factors for depression among elders. Early screening and co-morbidity management of depression should be comprised in basic primary health care packages. And also, ensuring adequate social support by establishing the Geriatrics care center could play a crucial role to mitigate the suffering of the elders from marital loss provoked loneness and depression.

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Section: Discussionsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia

Mulat¹,

Gutema

Wassie

2021

BMC Psychiatry

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“…The study also found that older adults suffered more number of chronic diseases, they were more at risk of depression. This result is supported by many studies which reported that there was high risk of depressive disorders among those with physical illness (Dao et al, 2018;Fiske et al, 2009;Hassanzadeh et al, 2017;Kafle et al, 2015;Peltzer and Phaswana-Mafuya, 2013;Pocklington, 2017). It is worth noting that the relationship between depression and chronic disease is particularly complex when they coexist.…”

Section: Prevalence Of Depressionmentioning

confidence: 62%

“…This is in line with few previous studies ( Buvneshkumar et al, 2018 ; Girma et al, 2016 ). A survey on ethnic minorities in Central Highland Vietnam reported that educational level of ethnic minority groups is low and the percentage of people drop further as the level of education rises and as a result, opportunities to get a job with professional and technical qualifications are limited ( Kafle et al, 2015 ; UNFPA, 2009 ). People with high levels of education are likely employed in well-paid jobs or appointed to more socially recognizable positions; however, they may be more at risk of having depression when they are retired because of reduction in income and decline in social interaction.…”

Section: Discussionmentioning

confidence: 99%

Depression among ethnic minority elderly in the Central Highlands, Vietnam

Lan

Thủy²

2020

Health Psychology Open

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This cross-sectional study is to examine the prevalence of depression and associated factors among 110 ethnic minority elderly in Kon Tum city, Vietnam. Depression was assessed using 30-items Geriatric Depression Scale. Multivariate linear regression analysis was employed to identify factors associated with depression. The prevalence of depression among participants was 25.5%. All were classified as mild depression level. Depression was significantly associated with age, gender, educational level, chronic diseases, stressful life events in the past 12 months, and family history of depression. These risk factors can help formulate effective public health programs to improve mental health among ethnic minority elderly.

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“…A previous study carried out in Nepal has already proved that GDS was a reliable tool to screen depression in the Nepalese patients which showed Cronbach's Alpha= 0.79. 12 Ethical approval was taken from Shree Medical and Technical College Institutional Review Committee (Ref: SMTC-IRC-20201230-05). Permission was also taken from the concerned authorities of old-age homes of Devghat, Tanahun.…”

Section: Methodsmentioning

confidence: 99%

Depression among Elderly Residing in Old-age Homes in Devghat, Nepal

Lamichhane¹,

Dhakal²

2022

Nep. J. Health Sci.

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Introduction: Depression among the elderly is a common phenomenon that is increasing at an alarming rate in recent years. Depression among the elderly leads to various physical and psychological problems and consequently poor quality of life. Objective: This study was aimed at assessing the prevalence of depression among elderly residing in old-age homes in Devghat, Tanahun, Nepal. Methods: A cross-sectional analytical study design was adopted to assess depression among elderly residing in old-age homes of Devghat town in Tanahun district of Nepal. Non-probability enumeration sampling technique was used to collect the data. The validated Nepali translation of the Geriatric Depression Scale-15 was used to assess depression. Collected data were entered in SPSS version 22 and analyzed by using the Chi-square test. Results: Out of 155 respondents, 45.8% had mild depression followed by 36.8% who had moderate depression. A statistically significant association was found between the level of depression and marital status, educational status, asthma, and habit of smoking. Conclusions: This study showed that the prevalence of depression in old-age homes was very high. This necessitates the provision of regular screening and adequate support and initiatives from concerned authorities to uplift the mental status of these elderly people so that it does not affect their overall health and quality of life.

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Prevalence of Depression among elderly living in old age homes of Kathmandu Valley and its association with Sociodemographic variants

Cited by 10 publications

References 0 publications

Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia

Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia

Depression among ethnic minority elderly in the Central Highlands, Vietnam

Depression among Elderly Residing in Old-age Homes in Devghat, Nepal

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