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

Mulat, Nebiyu; Gutema, Hordofa; Wassie, Gizachew Tadesse

doi:10.1186/s12888-021-03205-2

Cited by 5 publications

(5 citation statements)

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“…In our study, being female was a statistically significant factor predisposing to the onset of a depressive episode. A similar finding has been noted in previous studies carried out in Kerala [7,[9][10][11], other Indian states [25,15], and other countries [26][27][28][29][30]. Such findings could be attributed to the genetic predisposition, varying coping styles, and the existing perceptions about a woman's role in a family and society.…”

Section: Discussionsupporting

confidence: 88%

“…In our study, older individuals with these comorbidities were found to be more prone to depressive episodes, as has been robustly recorded in the available literature [6,9,12,13,21,25,28,31]. Elderly individuals who were staying alone, and those who were widowed, were noted to be more depressed, a finding which has been amply recorded in the existing literature.…”

Section: Discussionsupporting

confidence: 81%

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Prevalence and correlates of geriatric depression in a rural community in Kerala, India

et al. 2021

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Background: Elderly constitutes a vulnerable group for depression, as they are especially prone to suffer adverse consequences of a depressive episode and have greater rates of completed suicides. This study aims to estimate the prevalence and determinants of geriatric depression. Methods: A cross-sectional study was done among 250 elderlies from 1st January 2019 to 1st January 2020 in the different rural blocks of Ernakulam district, India. The multistage sampling technique and the Geriatric Depression Scale (GDS-30) were used to collect the data. A score of 0 9 is considered "normal", 10 19 is labeled as "mildly depressed", and 20 30 as "severely depressed". Statistical analysis was performed using the IBM SPSS software. The Chi-square test /Fisher's exact test was used to study the association between the socio-demographic and behavioral variables with depression. Results: The mean age was 69.33 ± 7.41years and male: female ratio was 0.55: 1.The overall prevalence of depression was 52.4%. Advanced age over 70years [OR=2.04;95% CI, 1.227 – 3.394; P=0.006], female gender[OR=2.844;95% CI,1.663-4.865; P =<0.001], lack of gainful employment [OR=3.504; 95% CI, 1.833–6.699; P =<0.001], physical dependence [OR=0.365;95% CI,0.162–0.821; P =0.012], financial dependence [OR=0.388; 95% CI, 0.219–0.687; P =<0.001], presence of medical co morbidities [OR=0.428; 95% CI, 0.212–0.866; P =0.016],poor lifestyle including the lack of regular exercise [OR =2.020; 95% CI,1.174–3.473; P =0.010], addiction to alcohol [OR=4.932;95%CI,1.600-15.208; P =0.004] and addiction to tobacco smoking [OR=2.905;95%CI,1.273-6.628; P =0.009] and poor family support [OR= 5.180;95% CI,716–15.636; P = 0.002] were found to be significantly associated with depression. Conclusion: The prevalence of depression among the elderlies was high, and hence early diagnosis and prompt treatment are essential to reduce its burden in the community.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 81%

Prevalence and correlates of geriatric depression in a rural community in Kerala, India

et al. 2021

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“…Regarding the prevalence of depression, the finding of the current study is in line with studies conducted in Nepal, 53.1% (37); South Africa, 51.9% (38); and North Shoa, 54.6% (15). The finding of this study is higher when compared to studies conducted in Harar, 28.5% (13); Ambo, 41.8% (39); Dega Damot, 45.9% (13); Wenberema, 45% (17); Ghana, 37.8% (40); Egypt, 44.4% (16); and Morocco, 39.9% (41). Possible reasons for the discrepancies in these results might be differences in socio-demographic characteristics, sample sizes, and measurement scales used.…”

Section: Discussionsupporting

confidence: 88%

“…This could raise the likelihood of elderly people experiencing depression. This is also supported by studies conducted in Morocco (41) and Wemberema (17).…”

Section: Discussionsupporting

confidence: 74%

Prevalence of depressive symptoms and their associated factors among older adults in Yirgalem town, Southern Ethiopia: A community-based cross-sectional study

et al. 2023

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BackgroundDepression is a serious mental health issue and the largest contributor to disability worldwide. Elderly people with depression are significantly more likely to experience negative outcomes such as poor physical health, strained social relationships, and decreased quality of life. Studies on geriatric depression are limited in developing nations like Ethiopia.ObjectivesThe purpose of this study was to determine the prevalence of depressive symptoms and associated factors among older adults in Yirgalem, Southern Ethiopia, in 2022.MethodsA community-based cross-sectional study was conducted on a sample of 628 older adults in Yirgalem town from May 15 to June 15, 2022. The study subjects were selected using a multi-stage systematic sampling technique. Data were collected using the 15-item Geriatric depression scale through face-to-face interviews. The collected data were edited, cleaned, coded, and entered into Epi data version 4.6 software and analyzed using STATA version 14. Bivariable and multivariate logistic regression analysis was computed to identify factors associated with depression, and statistical significance was declared at a 95% confidence interval with a P-value less than 0.05.ResultsA total of 620 older adults were included in the study, with a response rate of 97.8%. The prevalence of depressive symptoms among older adults was 51.77% (95% CI: 47.83–55.69). Being a woman (AOR = 2.3, 95% CI: 1.56–3141); being of more advanced age: 70–79 years old (AOR = 1.92, 95% CI: 1.20–3.07), 80–89 years old (AOR = 2.15, 95% CI: 1.27–3.65), 90 and older (AOR = 3.77, 95% CI: 1.95–7.79); living alone (AOR = 1.99, 95% CI = 1.17–3.41); having a chronic illness (AOR = 3.24, 95% CI: 1.06–4.46); having anxiety (AOR = 3.40; 95% CI: 2.25–5.14); and having poor social support (AOR = 3.56, 95% CI: 2.09–6.04) were statistically associated with depressive symptoms at a P-value of less than 0.05.ConclusionThis study found that depression affects more than half of the elderly residents in the study area. More advanced age, being a woman, living alone, having a chronic illness, having anxiety, and having poor social support were all strongly linked to depression. There is a need to integrate counseling and psychiatric services into the community healthcare system.

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“…According to a meta‐analysis by Zenebe et al, 25 a high global prevalence of depressive symptoms was found among the older population ranging from 7.7% to 81.1%. Multiple factors are associated with geriatric depressive symptoms, such as being female, 26 older age, 27 being single or divorced, 28 lower educational attainment, unemployment, low income, 29 low self‐esteem, 30 loneliness or living alone, 31 social deprivation, 32 presence of chronic illness or poor health status, 33 lack of health insurance, 34 smoking habit, 35 cognitive impairment and a history of depressive symptom 25 . Despite geriatric depressive symptoms being a major problem, they are often undiagnosed, underdiagnosed, undertreated or diagnosed late 36 .…”

Section: Introductionmentioning

confidence: 99%

Prevalence of sarcopenia and depressive symptoms among older adults: a scoping review

Ganggaya,

Vanoh,

Ishak

2023

Psychogeriatrics

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Sarcopenia causes a loss of skeletal muscle mass and decreases muscle strength and function. Depressive symptoms are a common cause of distress among geriatrics, significantly affecting the quality of life of older adults. Recently, studies have shown that a correlation exists between sarcopenia and depression. To determine the prevalence of sarcopenia and depressive symptoms and identify the factors associated with sarcopenia, we systematically searched the SCOPUS, Science Direct, and PubMed databases for papers on sarcopenia and depressive symptoms published from 2012 to 2022. We reviewed the literature on sarcopenia, depressive symptom prevalence, the prevalence of subjects with both sarcopenia and depressive symptoms, and the factors associated with sarcopenia. Only cross‐sectional studies were included. Nineteen articles met the inclusion criteria for review, with overall sarcopenia prevalence ranging from 3.9% to 41.7%. The prevalence of depressive symptoms was reported in seven studies, ranging from 8.09% to 40%. The most commonly used tools to diagnose sarcopenia and depressive symptoms were the European Working Group on Sarcopenia in Older People consensus and the Geriatric Depression Scale, respectively. Being aged, malnourished, obese, having comorbidities (hypertension and diabetes), having impaired cognitive function, and having polypharmacy were found to be the factors associated with sarcopenia. Sarcopenia and depressive symptoms have been found to cause adverse health outcomes among older people. Appropriate nutritional assessments and interventions should be taken to manage these two geriatric conditions. Further studies should be planned, considering multidomain intervention strategies to improve sarcopenia and older people's mental health.

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

Abstract: An amendment to this paper has been published and can be accessed via the original article.

Cited by 5 publications

References 1 publication

Prevalence and correlates of geriatric depression in a rural community in Kerala, India

Prevalence and correlates of geriatric depression in a rural community in Kerala, India

Prevalence of depressive symptoms and their associated factors among older adults in Yirgalem town, Southern Ethiopia: A community-based cross-sectional study

Prevalence of sarcopenia and depressive symptoms among older adults: a scoping review

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