Espinoza Aguirre Azálea, Fantin Romain, Barboza Solis Cristina, Salinas Miranda Abraham
Dirección de Vigilancia de la Salud Ministerio de Salud San José Costa Rica Dirección de Vigilancia de la Salud, Ministerio de Salud, San José, Costa Rica.
Escuela de Salud Pública, Facultad de Medicina Universidad de Costa Rica Costa Rica Escuela de Salud Pública, Facultad de Medicina, Universidad de Costa Rica, Costa Rica.
Rev Panam Salud Publica. 2020 Apr 2;44:e17. doi: 10.26633/RPSP.2020.17. eCollection 2020.
To determine the associations between sociodemographic characteristics and the current prevalence of tobacco use in Costa Rica, based on the results of the Global Adult Tobacco Survey (GATS).
Cross-sectional observational epidemiological study, country-wide (n = 8607), that used the sociodemographic variables included in GATS 2015. A logistic regression model was designed to predict the impact of those variables on current tobacco use. The dependent variable is current tobacco use, considering the social determinants available in the survey: sex, educational level, area of residence, age, and household composition.
The logistic regression model shows that being female (OR = 0.29; < 0.01), being 65 years old and over (OR = 0.61; = 0.02), living in a rural area (OR = 0.63; < 0.01), and living with other people (OR = 0.68; < 0.01), in particular with children 15 years old or under (OR = 0.55; < 0.01), are protective factors against tobacco use. Tobacco use declines significantly with increased wealth, as measured by household items, in women but not in men. Completing secondary education is a protective factor in people 15-34 years old (OR = 0.47; < 0.01) but not in people 35 and over .
There is an association between the sociodemographic variables found in the GATS Costa Rica survey carried out in 2015 and current tobacco use. Interventions at the family and community levels could help consumers give up smoking.
基于全球成人烟草调查（GATS）的结果，确定哥斯达黎加社会人口学特征与当前烟草使用流行率之间的关联。
在全国范围内开展的横断面观察性流行病学研究（n = 8607），使用了2015年GATS中包含的社会人口学变量。设计了一个逻辑回归模型来预测这些变量对当前烟草使用的影响。因变量是当前烟草使用情况，考虑调查中可用的社会决定因素：性别、教育水平、居住地区、年龄和家庭构成。
逻辑回归模型显示，女性（比值比[OR]=0.29；P<0.01）、65岁及以上（OR = 0.61；P = 0.02）、居住在农村地区（OR = 0.63；P<0.01）以及与他人同住（OR = 0.68；P<0.01），特别是与15岁及以下儿童同住（OR = 0.55；P<0.01），是预防烟草使用的保护因素。以家庭物品衡量，随着财富增加，女性的烟草使用显著下降，但男性并非如此。完成中等教育是15 - 34岁人群的保护因素（OR = 0.47；P<0.01），但对35岁及以上人群则不然。
2015年在哥斯达黎加开展的GATS调查中发现的社会人口学变量与当前烟草使用之间存在关联。家庭和社区层面的干预措施可能有助于吸烟者戒烟。
