Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30335
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dc.contributor.authorMachado, Daiane Borges-
dc.contributor.authorWilliamson, Elizabeth-
dc.contributor.authorPescarini, Julia M-
dc.contributor.authorAlves, Flavia J O-
dc.contributor.authorCastro-de-Araujo, Luís F S-
dc.contributor.authorIchihara, Maria Yury-
dc.contributor.authorRodrigues, Laura C-
dc.contributor.authorAraya, Ricardo-
dc.contributor.authorPatel, Vikram-
dc.contributor.authorBarreto, Maurício L-
dc.date2022-
dc.date.accessioned2022-06-23T00:38:04Z-
dc.date.available2022-06-23T00:38:04Z-
dc.date.issued2022-05-18-
dc.identifier.citationPLoS medicine 2022; 19(5): e1004000en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/30335-
dc.description.abstractSocioeconomic factors have been consistently associated with suicide, and economic recessions are linked to rising suicide rates. However, evidence on the impact of socioeconomic interventions to reduce suicide rates is limited. This study investigates the association of the world's largest conditional cash transfer programme with suicide rates in a cohort of half of the Brazilian population. We used data from the 100 Million Brazilian Cohort, covering a 12-year period (2004 to 2015). It comprises socioeconomic and demographic information on 114,008,317 individuals, linked to the "Bolsa Família" programme (BFP) payroll database, and nationwide death registration data. BFP was implemented by the Brazilian government in 2004. We estimated the association of BFP using inverse probability of treatment weighting, estimating the weights for BFP beneficiaries (weight = 1) and nonbeneficiaries by the inverse probability of receiving treatment (weight = E(ps)/(1-E(ps))). We used an average treatment effect on the treated (ATT) estimator and fitted Poisson models to estimate the incidence rate ratios (IRRs) for suicide associated with BFP experience. At the cohort baseline, BFP beneficiaries were younger (median age 27.4 versus 35.4), had higher unemployment rates (56% versus 32%), a lower level of education, resided in rural areas, and experienced worse household conditions. There were 36,742 suicide cases among the 76,532,158 individuals aged 10 years, or older, followed for 489,500,000 person-years at risk. Suicide rates among beneficiaries and nonbeneficiaries were 5.4 (95% CI = 5.32, 5.47, p < 0.001) and 10.7 (95% CI = 10.51, 10.87, p < 0.001) per 100,000 individuals, respectively. BFP beneficiaries had a lower suicide rate than nonbeneficiaries (IRR = 0.44, 95% CI = 0.42, 0.45, p < 0.001). This association was stronger among women (IRR = 0.36, 95% CI = 0.33, 0.38, p < 0.001), and individuals aged between 25 and 59 (IRR = 0.41, 95% CI = 0.40, 0.43, p < 0.001). Study limitations include a lack of control for previous mental disorders and access to means of suicide, and the possible under-registration of suicide cases due to stigma. We observed that BFP was associated with lower suicide rates, with similar results in all sensitivity analyses. These findings should help to inform policymakers and health authorities to better design suicide prevention strategies. Targeting social determinants using cash transfer programmes could be important in limiting suicide, which is predicted to rise with the economic recession, consequent to the Coronavirus Disease 2019 (COVID-19) pandemic.en
dc.language.isoeng
dc.titleRelationship between the Bolsa Família national cash transfer programme and suicide incidence in Brazil: A quasi-experimental study.en
dc.typeJournal Articleen
dc.identifier.journaltitlePLoS medicineen
dc.identifier.affiliationMedicine (University of Melbourne)en
dc.identifier.affiliationCentre for Data and Knowledge Integration for Health (CIDACS)en
dc.identifier.affiliationDepartment of Medical Statistics and Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom..en
dc.identifier.affiliationGonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.en
dc.identifier.affiliationDepartment of Medical Statistics and Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom.en
dc.identifier.affiliationCentre for Global Mental Health, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, United Kingdom.en
dc.identifier.affiliationDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.. Department of Global Health and Population, Chan School of Public Health, Harvard, United States of America.en
dc.identifier.doi10.1371/journal.pmed.1004000en
dc.type.contentTexten
dc.identifier.orcid0000-0003-2959-4650en
dc.identifier.orcid0000-0001-8711-9589en
dc.identifier.orcid0000-0003-1613-2270en
dc.identifier.orcid0000-0002-0952-5052en
dc.identifier.orcid0000-0001-8590-6212en
dc.identifier.orcid0000-0003-1066-8584en
dc.identifier.pubmedid35584178
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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