Examining Psychosocial Correlates of a Home Smoking Ban Among Low-income Smokers: Analysis of Social Support, Unmet Social Needs, Perceived Stress, and Depressive Symptoms.

Examining Psychosocial Correlates of a Home Smoking Ban Among Low-income Smokers: Analysis of Social Support, Unmet Social Needs, Perceived Stress, and Depressive Symptoms.
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DOI:
10.1007/s10900-022-01094-4
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发表时间:
2022-12
影响因子:
5.9
通讯作者:
Kreuter, Matthew W.
Kreuter, Matthew W.
中科院分区:
医学4区
文献类型:
--
作者:
Thompson, Tess;Evbuoma-Fike, Ebuwa, I;Garg, Rachel;McQueen, Amy;Caburnay, Charlene;Kreuter, Matthew W.

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家庭禁烟减少了二手烟的暴露。了解心理社会因素如何与家庭禁烟有关,可能会为不太可能禁止家庭吸烟的人群(包括低收入吸烟者)提供更好的干预措施。在这项研究中,我们使用了来自密苏里州低收入吸烟者随机试验的1,944名参与者的基线数据,以探索全面家庭禁烟的心理社会相关性。使用逻辑回归,我们检查了心理社会变量(社会支持,未满足的社会需求[例如,食物,住房],感知压力和抑郁症状)和全面禁止在家吸烟。72%的参与者是女性,58%是黑人/非洲裔美国人; 26%的人报告了家庭禁烟令。在未经调整和调整的模型中,更大的社会支持与更大的家庭禁烟的可能性相关。压力是负相关的禁令在调整后的模型。大多数参与者没有家庭禁烟令,这一事实突出了对这一人群进行进一步干预的必要性。结果表明,社会支持和有一个家庭禁烟之间的联系,虽然效果大小很小。增强社会联系或利用现有支持的无烟家庭干预措施可能特别有效。烟草控制规划者还可以考虑与解决社会孤立问题的机构合作。
Home smoking bans reduce exposure to second-hand smoke. Understanding how psychosocial factors are related to having a home smoking ban may lead to better interventions for populations less likely to have home smoking bans, including low-income smokers. In this study, we used baseline data from 1,944 participants in a randomized trial of low-income smokers in Missouri to explore psychosocial correlates of a total home smoking ban. Using logistic regression, we examined associations between psychosocial variables (social support, unmet social needs [e.g., food, housing], perceived stress, and depressive symptoms) and a total home smoking ban. Seventy-two percent of participants were female, and 58% were Black/African American; 26% reported a home smoking ban. In unadjusted and adjusted models, greater social support was associated with greater likelihood of a home smoking ban. Stress was negatively associated with a ban in adjusted models only. The fact that most participants did not have a home smoking ban highlights the need for further intervention in this population. Results suggest links between social support and having a home smoking ban, although effect sizes were small. Smoke-free home interventions that increase social connectedness or leverage existing support may be especially effective. Tobacco control planners may also consider partnering with agencies addressing social isolation.
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