Meza Benjamin P L, Pollack Craig E, Tilchin Carla, Jennings Jacky M, Latkin Carl A, Cather Corinne, Dickerson Faith, Evins Anne E, Wang Nae-Yuh, Daumit Gail L, Yuan Christina, Gudzune Kimberly A
Division of General Internal Medicine and Health Services Research, University of California Los Angeles, Los Angeles, CA, USA.
Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
J Ment Health. 2024 Dec;33(6):739-748. doi: 10.1080/09638237.2024.2332807. Epub 2024 Apr 8.
Smoking is a major contributor to morbidity and mortality among individuals with serious mental illness (SMI) and social networks may play an important role in smoking behaviors.
Our objectives were to (1) describe the network characteristics of adults with SMI who smoke tobacco (2) explore whether network attributes were associated with nicotine dependence.
We performed a secondary analysis of baseline data from a tobacco smoking cessation intervention trial among 192 participants with SMI. A subgroup ( = 75) completed questions on the characteristics of their social network members. The network characteristics included network composition (e.g. proportion who smoke) and network structure (e.g. density of connections between members). We used multilevel models to examine associations with nicotine dependence.
Participant characteristics included: a mean age 50 years, 49% women, 48% Black, and 41% primary diagnosis of schizophrenia/schizoaffective disorder. The median personal network proportion of active smokers was 22%, active quitters 0%, and non-smokers 53%. The density of ties between actively smoking network members was greater than between non-smoking members (55% vs 43%, = .02). Proportion of network smokers was not associated with nicotine dependence.
We identified potential social network challenges and assets to smoking cessation and implications for network interventions among individuals with SMI.
吸烟是导致严重精神疾病（SMI）患者发病和死亡的主要因素，社交网络可能在吸烟行为中发挥重要作用。
我们的目标是（1）描述吸烟的SMI成年患者的社交网络特征，（2）探讨社交网络属性是否与尼古丁依赖有关。
我们对一项针对192名SMI患者的戒烟干预试验的基线数据进行了二次分析。一个亚组（n = 75）完成了关于其社交网络成员特征的问题。社交网络特征包括网络构成（例如吸烟者的比例）和网络结构（例如成员之间联系的密度）。我们使用多层次模型来检验与尼古丁依赖的关联。
参与者特征包括：平均年龄50岁，49%为女性，48%为黑人，41%的主要诊断为精神分裂症/分裂情感性障碍。活跃吸烟者在个人社交网络中的比例中位数为22%，活跃戒烟者为0%，非吸烟者为53%。活跃吸烟的网络成员之间的联系密度大于非吸烟成员之间的联系密度（55%对43%，P = .02）。网络吸烟者的比例与尼古丁依赖无关。
我们确定了戒烟方面潜在的社交网络挑战和资产，以及对SMI患者进行网络干预的意义。
