2018
DOI: 10.1016/j.jad.2018.01.028
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Attempted suicide in Sri Lanka – An epidemiological study of household and community factors

Abstract: BackgroundAn individual's suicide risk is determined by personal characteristics, but is also influenced by their environment. Previous studies indicate a role of contextual effects on suicidal behaviour, but there is a dearth of quantitative evidence from Asia.MethodsIndividual and community level data were collected on 165,233 people from 47,919 households in 171 communities in rural Sri Lanka. Data were collected on individual (age, sex, past suicide attempts and individual socioeconomic position (SEP)) and… Show more

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Cited by 27 publications
(31 citation statements)
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“…This is also reflected in the higher rates of informal work in these areas; which added to poverty, and inequality explain the high suicides rates in these regions. Intervention such as improved employment opportunities, welfare and mental health support services, as well as problem-solving skills development, may help farmers and reduce the burden of disease and suicides in poor areas [30,31].…”
Section: Discussionmentioning
confidence: 99%
“…This is also reflected in the higher rates of informal work in these areas; which added to poverty, and inequality explain the high suicides rates in these regions. Intervention such as improved employment opportunities, welfare and mental health support services, as well as problem-solving skills development, may help farmers and reduce the burden of disease and suicides in poor areas [30,31].…”
Section: Discussionmentioning
confidence: 99%
“…We investigated the risk of fatal and non-fatal repeat self-harm in relation to the following: demographic characteristics (sex and age at first presentation, with four age bands [10–25 years; 26–40 years; 41–55 years; and ≥56 years]); medical history or clinical data (data on previous self-harm before the baseline survey obtained via questioning the household respondent; method of self-harm collected from hospital records or by interviewing the patient or accompanying person); and socioeconomic characteristics collected in the baseline survey. Household socioeconomic position was measured on the basis of a household asset score 13 . This score is a composite three-level measure derived by combining data on household construction and motorised vehicle ownership as follows: low (no motorised vehicle and poor quality household construction); middle (either a motorised vehicle or moderate or high quality household construction); or high (motorised vehicle ownership and moderate or high quality household construction).…”
Section: Methodsmentioning
confidence: 99%
“…This is also reflected in the higher rates of informal work in these areas; which added to poverty, and inequality explain the high suicides rates in these regions. Intervention such as improved employment opportunities, welfare and mental health support services, as well as problem-solving skills 7 development, may help farmers and reduce the burden of disease and suicides in poor areas [30,31].…”
Section: Discussionmentioning
confidence: 99%