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This article analyzes the relations between mental health and well-being in urban and rural contexts marked by poverty. The analysis takes as its basis a quantitative research conducted with 417 adult inhabitants of two communities, one rural and the other urban, in Northeastern Brazil. The data were constructed using questionnaires composed of sociodemographic data, the Personal Wellbeing Index and Self Report Questionnaire (SRQ-20) scales. We found significant differences between the inhabitants of the rural and urban communities regarding well-being and the prevalence of common mental disorders (CMD), with a higher average well-being score in the rural context; the urban sample had a higher average regarding the prevalence of CMD. The variable income significantly influenced the SRQ-20 average scores; the same was not observed with well-being scores. Besides, it was observed that there is a negative correlation with well-being and CMD.

作者:Bárbara Barbosa, Nepomuceno;Antonio Alan Vieira, Cardoso;Ver?nica Morais, Ximenes;Jo?o Paulo Pereira, Barros;Jáder Ferreira, Leite

来源:Journal of prevention & intervention in the community 2016 年 44卷 1期

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作者:
Bárbara Barbosa, Nepomuceno;Antonio Alan Vieira, Cardoso;Ver?nica Morais, Ximenes;Jo?o Paulo Pereira, Barros;Jáder Ferreira, Leite
来源:
Journal of prevention & intervention in the community 2016 年 44卷 1期
标签:
Mental health poverty psychology well-being
This article analyzes the relations between mental health and well-being in urban and rural contexts marked by poverty. The analysis takes as its basis a quantitative research conducted with 417 adult inhabitants of two communities, one rural and the other urban, in Northeastern Brazil. The data were constructed using questionnaires composed of sociodemographic data, the Personal Wellbeing Index and Self Report Questionnaire (SRQ-20) scales. We found significant differences between the inhabitants of the rural and urban communities regarding well-being and the prevalence of common mental disorders (CMD), with a higher average well-being score in the rural context; the urban sample had a higher average regarding the prevalence of CMD. The variable income significantly influenced the SRQ-20 average scores; the same was not observed with well-being scores. Besides, it was observed that there is a negative correlation with well-being and CMD.