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Factors associated with cigarette smoking in a Peruvian district of high socioeconomic level
by
Guevara Tirado, Alberto
in
cigarette smoking
/ consumo de cigarrillo
/ factores socioeconómicos
/ fatores socioeconômicos
/ public health
/ salud pública
/ saúde pública
/ socioeconomic factors
/ uso de tabaco
2025
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Factors associated with cigarette smoking in a Peruvian district of high socioeconomic level
by
Guevara Tirado, Alberto
in
cigarette smoking
/ consumo de cigarrillo
/ factores socioeconómicos
/ fatores socioeconômicos
/ public health
/ salud pública
/ saúde pública
/ socioeconomic factors
/ uso de tabaco
2025
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Factors associated with cigarette smoking in a Peruvian district of high socioeconomic level
by
Guevara Tirado, Alberto
in
cigarette smoking
/ consumo de cigarrillo
/ factores socioeconómicos
/ fatores socioeconômicos
/ public health
/ salud pública
/ saúde pública
/ socioeconomic factors
/ uso de tabaco
2025
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Factors associated with cigarette smoking in a Peruvian district of high socioeconomic level
Journal Article
Factors associated with cigarette smoking in a Peruvian district of high socioeconomic level
2025
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Overview
Objective: To identify and classify the socioeconomic factors associated with cigarette smoking in a Peruvian district of high socioeconomic level. Methods: Cohort study using data from the \"Census of Health and Determinants of the District of San Borja\" from 2021 to 2022, with 49,082 respondents. The total database was studied, which responded to the question of whether they had smoked cigarettes in the last 12 months. Variables such as cigarette consumption, sex, age, educational level, marital status, work activity, and others were analyzed. Binary logistic regression and chi-squared automatic interaction detection (CHAID) decision tree analyses were applied. Results: The percentage of smokers was 3.70%. Single adults were 1.46 times more likely to smoke. Those living in shared apartments were 1.38 times more likely to smoke, while people without their own housing were 2.01 times more likely to smoke. Men were 2.574 times more likely to smoke than women. The CHAID decision tree showed that, for males, job instability is a main factor, while for women the economic crisis and criminal acts in the home were key factors. Conclusions: Job instability and precarious living conditions are associated with cigarette smoking in men and women, respectively. The main socioeconomic profile of cigarette users was being male, not owning a house and being single.
Objetivo: Identificar e classificar os fatores socioeconômicos associados ao tabagismo em um distrito peruano de alto nível socioeconômico. Métodos: Estudo transversal utilizando dados do “Censo de Saúde e Determinantes do Distrito San Borja” de 2021 a 2022, com 49.082 entrevistados. Foi estudado todo o banco de dados que respondeu à pergunta se fumaram cigarros nos últimos 12 meses. Foram analisadas variáveis como consumo de cigarro, sexo, idade, nível educacional, estado civil, atividade laboral, entre outras. Regressão logística binária e análises de árvore de decisão foram aplicadas usando um detector automático de interação qui-quadrado. Resultados: O percentual de fumantes foi de 3,70%. Adultos solteiros tinham 1,46 (IC 95%: 1,18-1,8) vezes mais probabilidade de fumar. Aqueles que moram em apartamentos compartilhados tinham 1,38 (IC 95%: 1,12-1,70) vezes mais probabilidade. Pessoas sem moradia própria foram 2,01 (IC 95%: 1,35-2,95). Os homens tinham 2,57 (IC 95%: 2,07-3,19) vezes mais probabilidade de fumar do que as mulheres. A árvore de decisão do CHAID mostrou que, nos homens, a instabilidade no emprego é um fator importante; Nas mulheres, a crise econômica e os atos criminosos no lar foram fatores-chave. Conclusões: A instabilidade no emprego em homens e as condições precárias de vida em mulheres estão associadas ao tabagismo. O principal perfil socioeconômico dos consumidores de cigarros era ser do sexo masculino, não possuir casa própria e ser solteiro.
Objetivo: Identificar y clasificar los factores socioeconómicos asociados al consumo de cigarro en un distrito peruano de nivel socioeconómico alto. Métodos: Estudio de corte utilizando datos del “Censo de Salud y Determinantes del Distrito de San Borja” de 2021 a 2022, con 49 082 encuestados. Se estudió el total de la base de datos que respondió a la pregunta de si fumaron cigarros los últimos 12 meses. Se analizaron variables como consumo de cigarro, sexo, edad, nivel educativo, estado conyugal, actividad laboral y otros. Se aplicaron análisis de regresión logística binaria y árbol de decisiones por detector automático de interacciones de ji al cuadrado. Resultados: El porcentaje de fumadores fue de 3,70 %. Los adultos sin pareja fueron 1,46 (IC95%: 1,18-1,8) veces más propensos a fumar. Quienes viven en departamentos compartidos lo fueron 1,38 (IC 95%: 1,12-1,70) veces. Personas sin vivienda propia lo fueron 2,01 (IC95%: 1,35-2,95). Hombres fueron 2,57 (IC95%: 2,07-3,19) veces más propensos a fumar que mujeres. El árbol de decisiones CHAID mostró que, en hombres, la inestabilidad laboral es un factor principal; en mujeres, la crisis económica y hechos delictivos en el hogar fueron factores clave. Conclusiones: La inestabilidad laboral en hombres y la precarización de las condiciones de vida en mujeres están asociadas al consumo de cigarro. El perfil socioeconómico principal del consumidor de cigarros fue ser hombre, no tener vivienda propia y estar sin pareja.
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