AIM: To ascertain if the factors associated with depression differ among ethnic groups in community-dwelling older people in Kandy District, Sri Lanka. METHODS: A cross-sectional survey was carried out of people aged ≥60 years living in a single divisional secretariat of Kandy District. The participants were asked about ethnicity (Sinhalese, Tamil and Muslim), sociodemographic characteristics and depression status by face-to-face interviews with a structured questionnaire. Depression was measured by the 15-item Geriatric Depression Scale, and the total score of ≥6 was considered as depression. The χ2 -test and multivariate logistic regression with two-way interaction terms between sociodemographic characteristics and ethnicity were carried out. RESULTS: Participants (n = 778) consisted of 56.6% Sinhalese, 22.1% Tamils and 21.3% Muslims. Of the participants, the prevalence of depression was 31.8% (27.3% in Sinhalese, 42.1% in Tamils and 32.9% in Muslims). Multivariate analyses showed that there were no significant interactions between sociodemographic characteristics and ethnicity. However, low economic status, low perceived social support and more than two self-reported diseases were significantly associated with depression in all ethnic groups. CONCLUSIONS: Some factors were found to be significantly associated with depression, but did not differ among ethnic groups. The findings would help practitioners to identify older people with a high risk of depression, and to intervene in its development or exacerbation. Geriatr Gerontol Int 2017; 17: 2414-2420.
AIM: To ascertain if the factors associated with depression differ among ethnic groups in community-dwelling older people in Kandy District, Sri Lanka. METHODS: A cross-sectional survey was carried out of people aged ≥60 years living in a single divisional secretariat of Kandy District. The participants were asked about ethnicity (Sinhalese, Tamil and Muslim), sociodemographic characteristics and depression status by face-to-face interviews with a structured questionnaire. Depression was measured by the 15-item Geriatric Depression Scale, and the total score of ≥6 was considered as depression. The χ2 -test and multivariate logistic regression with two-way interaction terms between sociodemographic characteristics and ethnicity were carried out. RESULTS:Participants (n = 778) consisted of 56.6% Sinhalese, 22.1% Tamils and 21.3% Muslims. Of the participants, the prevalence of depression was 31.8% (27.3% in Sinhalese, 42.1% in Tamils and 32.9% in Muslims). Multivariate analyses showed that there were no significant interactions between sociodemographic characteristics and ethnicity. However, low economic status, low perceived social support and more than two self-reported diseases were significantly associated with depression in all ethnic groups. CONCLUSIONS: Some factors were found to be significantly associated with depression, but did not differ among ethnic groups. The findings would help practitioners to identify older people with a high risk of depression, and to intervene in its development or exacerbation. Geriatr Gerontol Int 2017; 17: 2414-2420.
Authors: Dhammika Deepani Siriwardhana; Manuj Chrishantha Weerasinghe; Greta Rait; Shaun Scholes; Kate R Walters Journal: Qual Life Res Date: 2019-02-27 Impact factor: 4.147