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São Paulo med. j ; 137(1): 13-24, Jan.-Feb. 2019. tab, graf
Artículo en Inglés | LILACS | ID: biblio-1004750

RESUMEN

ABSTRACT BACKGROUND: There is a paucity of research on knowledge/attitudes regarding the dangers of exposure to secondhand smoking (SHS) among women. The relationship between exposure to SHS, socioeconomic status (SES) and knowledge/attitudes regarding the risks of SHS has often been ignored. We therefore aimed to examine (1) whether SES and exposure to SHS were independently associated with knowledge/attitudes regarding the risks of SHS; and (2) whether women with low SES and exposure to SHS were uniquely disadvantaged in terms of deficient knowledge and more dismissive attitudes towards the risks of SHS. DESIGN AND SETTING: Cross-sectional study in the Rajshahi district, Bangladesh. METHODS: A total of 541 women were interviewed. Knowledge of and attitudes towards the risks of SHS were the outcomes of interest. RESULTS: A majority of the respondents were exposed to SHS at home (49.0%). Only 20.1% had higher levels of knowledge, and only 37.3% had non-dismissive attitudes towards the risks of SHS. Participants in the low SES group and those exposed to SHS had lower odds of higher knowledge and their attitudes towards the risks of SHS were more dismissive. Regarding deficient levels of knowledge and scores indicating more dismissive attitudes, women in the low SES group and who were exposed to SHS were not uniquely disadvantaged. CONCLUSIONS: Exposure to SHS and low SES were independently associated with deficient knowledge and scores indicating more dismissive attitudes. Regarding knowledge/attitudes, the negative effect of exposure to SHS extended across all socioeconomic backgrounds and was not limited to women in either the low or the high SES group.


Asunto(s)
Humanos , Femenino , Adolescente , Adulto , Persona de Mediana Edad , Adulto Joven , Contaminación por Humo de Tabaco/estadística & datos numéricos , Conocimientos, Actitudes y Práctica en Salud , Esposos , Clase Social , Factores Socioeconómicos , Bangladesh , Modelos Logísticos , Estudios Transversales , Factores de Riesgo , Medición de Riesgo , Exposición a Riesgos Ambientales/estadística & datos numéricos , Autoinforme
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