Blok David J, de Vlas Sake J, van Empelen Pepijn, van Lenthe Frank J
Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
Prev Med. 2017 Jun;99:105-110. doi: 10.1016/j.ypmed.2017.02.012. Epub 2017 Feb 16.
Understanding the spread of smoking cessation and relapse within social networks may offer new approaches to further curb the smoking epidemic. Whether smoking behavior among social network members determines smoking cessation and relapse of adults however, is less known. For this study, longitudinal data of 4623 adults participating in the Dutch Longitudinal Internet Studies for the Social sciences (LISS) panel were collected in March 2013 with a follow-up in 2014. Logistic regression was used to examine the association between the proportion of smokers in social networks, and (1) smoking cessation (n=762) and (2) smoking relapse (n=1905). Analyses were adjusted for the size of the network, age, sex, and education. Respondents with the largest proportion of smokers in their social network were less likely to quit smoking (OR=0.25; 95% CI=0.11-0.66) and more likely to experience a relapse (6.08; 3.01-12.00). Smoking cessation and relapse were most strongly associated with the proportion of smokers among household members and friends. The proportion of smokers in family outside the household was not related to smoking cessation and smoking relapse. In conclusion, smoking behavior in social networks, especially among household members and friends, is strongly associated with smoking cessation and relapse. These findings further support the spread of smoking within social networks, and provide evidence for network-based interventions, particularly including household members and friends.
了解戒烟行为及复吸行为在社交网络中的传播情况，可能会为进一步遏制吸烟流行提供新方法。然而，社交网络成员的吸烟行为是否会决定成年人的戒烟及复吸情况，目前尚鲜为人知。在本研究中，于2013年3月收集了4623名参与荷兰社会科学纵向互联网研究（LISS）小组的成年人的纵向数据，并于2014年进行了随访。采用逻辑回归分析来检验社交网络中吸烟者比例与（1）戒烟（n = 762）和（2）复吸（n = 1905）之间的关联。分析对网络规模、年龄、性别和教育程度进行了校正。社交网络中吸烟者比例最高的受访者戒烟的可能性较小（OR = 0.25；95% CI = 0.11 - 0.66），而复吸的可能性较大（OR = 6.08；95% CI = 3.01 - 12.00）。戒烟和复吸与家庭成员及朋友中的吸烟者比例关联最为紧密。家庭以外的家庭成员中的吸烟者比例与戒烟及复吸无关。总之，社交网络中的吸烟行为，尤其是家庭成员及朋友之间的吸烟行为，与戒烟和复吸密切相关。这些发现进一步支持了吸烟行为在社交网络中的传播，并为基于社交网络的干预措施提供了证据，特别是将家庭成员和朋友纳入其中的干预措施。
