Cross-sectional personal network analysis of adult smoking in rural areas

TL;DR

This study investigates how personal social networks and sociodemographic factors influence smoking behaviors among middle-aged and older adults in a rural Romanian community, highlighting the importance of social influences in smoking habits.

Contribution

It provides novel insights into the impact of family network dynamics on smoking status among rural adults, an area previously underexplored.

Findings

Social networks significantly influence smoking behaviors.

Having smoking family members increases smoking likelihood.

Women are less likely to smoke.

Abstract

While research on adolescent smoking is extensive, little attention has been given to smoking behaviors among rural middle-aged and older adults. This study examines the role of personal networks and sociodemographic factors in predicting smoking status in a rural Romanian community. Using a link-tracing sampling method, we gathered data from 76 participants out of 83 in Leresti, Arges County. Face-to-face interviews collected sociodemographic data and network information, including smoking status and relational dynamics. We applied multilevel logistic regression models to predict smoking behaviors (current smokers, former smokers, and non-smokers) based on individual characteristics and network influences. Results indicate that social networks significantly influence smoking behaviors. For current smokers, having a smoking family member greatly increased the odds of smoking (OR = 2.51, 95% CI: 1.62, 3.91, p < 0.001). Similarly, non-smoking family members increased the likelihood of being a non-smoker (OR = 1.64, 95% CI: 1.04, 2.61, p < 0.05). Women were less likely to smoke, highlighting sex differences in behavior. These findings emphasize the critical role of social networks in shaping smoking habits, advocating for targeted interventions in rural areas.