2017
DOI: 10.21101/cejph.a4160
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An Approach to Determine the Prevalence of Poor Mental Health among Urban and Rural Population in Serbia Using Propensity Score Matching

Abstract: Almost half of the Serbian population suffers from poor mental health, therefore, there is a need to increase efforts on mental health promotion, prevention and treatment. Our study findings also support the importance of promoting benefits of rural settings for people with mental distress.

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Cited by 4 publications
(2 citation statements)
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References 24 publications
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“…Definidos como "condições clinicamente significativas, caracterizadas por alterações do modo de pensar e do humor (emoções) ou por comportamentos associados com angústia pessoal e/ou deterioração do funcionamento" (World Health Organization, 2002, p. 53), os Transtornos Mentais e do Comportamento são identificados entre os maiores responsáveis pelos afastamentos e aposentadorias no Brasil e no mundo (Andersen, Nielsen, & Brinkmann, 2014;Koopmans et al, 2011;Neves, 2016;Šantrić-Milićević et al, 2017;Silva-Junior, 2016;Yin et al, 2018).…”
Section: Exigências Do Trabalho E Adoecimento: Os Transtornos Psíquicunclassified
“…Definidos como "condições clinicamente significativas, caracterizadas por alterações do modo de pensar e do humor (emoções) ou por comportamentos associados com angústia pessoal e/ou deterioração do funcionamento" (World Health Organization, 2002, p. 53), os Transtornos Mentais e do Comportamento são identificados entre os maiores responsáveis pelos afastamentos e aposentadorias no Brasil e no mundo (Andersen, Nielsen, & Brinkmann, 2014;Koopmans et al, 2011;Neves, 2016;Šantrić-Milićević et al, 2017;Silva-Junior, 2016;Yin et al, 2018).…”
Section: Exigências Do Trabalho E Adoecimento: Os Transtornos Psíquicunclassified
“…A study on the relationship between social support and depression and disability in patients with chronic obstructive pulmonary disease reduced selection bias using a propensity scoring model to balance treatment and control groups [13]. When using PSM to determine the prevalence of poor mental health in rural and urban populations in Serbia, PSM eliminates the confounding effects of social variables (age, sex, wealth index, education level, employment, and family status) and self-rated health factors [14].…”
Section: Introductionmentioning
confidence: 99%