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Lower socioeconomic position SEP is associated with an increased risk of suicidal behaviour in high income countries, but this association is not established in low- and middle-income countries LMIC. We investigated the association of SEP with suicidal behaviour in a prospective cohort study of , Sri Lankans followed up for episodes of attempted suicide and suicide. SEP data were collected at baseline at the household and individual level at the start of the follow-up period. The association of these measures of SEP and attempted suicide was stronger in men than women. Individuals living in deprived areas [1. Farmers and daily wage labourers had nearly a doubling in risk of attempted suicide compared to other occupations. The online version of this article Despite this, our knowledge of the factors that contribute to suicidal behaviour in these contexts is limited, partly due to the lack of available data.
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Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page. An 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. Individual and community level data were collected on , people from 47, households in communities in rural Sri Lanka. Data were collected on individual age, sex, past suicide attempts and individual socioeconomic position SEP and household household SEP, pesticide access, alcohol use and multigenerational households level factors. Women living in households with alcohol misuse were at higher risk of attempted suicide.
To investigate the effect of 3-year phased bans of the pesticides dimethoate and fenthion in —, and paraquat in —, on suicide mortality in Sri Lanka. Age-standardised overall, sex-specific, and method-specific suicide rates were calculated using Sri Lankan police data — Using negative binomial regression models, we estimated the change in the rate and number of suicide deaths in post-ban years —15 compared to those expected based on pre-ban trends —
