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1.
J Nepal Health Res Counc ; 17(4): 506-511, 2020 Jan 21.
Article in English | MEDLINE | ID: mdl-32001857

ABSTRACT

BACKGROUND: Geriatric depression is a significant problem in both the developed and the developing world. To identify this condition, Geriatric Depression Scale has been used in different languages and cultural settings; it has proved to be a reliable and valid instrument. However, the Geriatric Depression Scale-15 version in Nepali has so far not been validated. METHODS: The original 15-item version of the Geriatric Depression Scale-15 was translated into Nepali and administered by trained nurses to a target sample aged ?60 years at Dhulikhel Hospital (n=106). Subsequently, the participants were blindly interviewed by a consultant psychiatrist for possible geriatric depression according to the ICD-10 criteria. Cronbach's alpha checked the reliability. Validity was assessed for three different cut-off points (4/5, 5/6, and 6/7); the related sensitivity, specificity, positive predictive value, and the negative predictive value of the scale were estimated. RESULTS: The mean participant age was 68.1 (±7.2); males and females, 50.9% and 49.1%, respectively. Cronbach's alpha was 0.79.The optimal cut-off point was found to be 5/6 with sensitivity and specificity 86.3% and 74.5%, respectively. CONCLUSIONS: Using a standard statistical protocol, a reliable and valid Geriatric Depression Scale-15-Nepali was developed with an adequate internal consistency and an optimal balance between sensitivity and specificity at cut-off point 5/6.The Geriatric Depression Scale-15-Nepali can serve as an appropriate instrument for assessing geriatric depression in epidemiological research as well as in primary health care settings in Nepal.


Subject(s)
Depression/diagnosis , Geriatric Assessment/methods , Surveys and Questionnaires/standards , Aged , Female , Humans , Language , Male , Middle Aged , Reproducibility of Results , Sensitivity and Specificity , Socioeconomic Factors
2.
BMC Psychiatry ; 19(1): 271, 2019 09 03.
Article in English | MEDLINE | ID: mdl-31481037

ABSTRACT

BACKGROUND: The increasing elderly population worldwide is likely to increase mental health problems such as geriatric depression, which has mostly been studied in high-income countries. Similar studies are scarce in low-and-middle-income-countries like Nepal. METHODS: A cross-sectional, population-based, door-to-door survey was conducted in randomly selected rural and urban population clusters of the Kavre district, Nepal. Trained nurses (field interviewers) administered structured questionnaires that included a validated Nepali version of the Geriatric Depression Scale short form (GDS-15) for identifying geriatric depression among the elderly (≥60 years) participants (N = 460). Those scoring ≥6 on GDS-15 were considered depressed. Logistic regression analysis explored the associations of geriatric depression with regard to socio-demographic information, life style, family support and physical well-being. RESULTS: Of the total 460 selected elderly participants, 439 (95.4%) took part in the study. More than half of them were females (54.2%). The mean age was 70.9 (± 8.6) years. Approximately half (50.6%) were rural inhabitants, the majority (86.1%) were illiterate, and about three-fifths (60.1%) were living with their spouses. The gender-and-age adjusted prevalence of geriatric depression was 53.1%. Geriatric depression was significantly associated with rural habitation (AOR 1.6), illiteracy (AOR 2.1), limited time provided by families (AOR 1.8), and exposure to verbal and/or physical abuse (AOR 2.6). CONCLUSION: Geriatric depression is highly prevalent in Kavre, Nepal. The findings call for urgent prioritization of delivery of elderly mental health care services in the country.


Subject(s)
Depression/epidemiology , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Geriatric Assessment , Humans , Male , Middle Aged , Nepal/epidemiology , Poverty/psychology , Prevalence , Rural Population/statistics & numerical data , Surveys and Questionnaires , Urban Population/statistics & numerical data
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