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尼日利亚拉各斯长途司机吸烟行为的患病率及相关因素。

The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria.

作者信息

Ozoh Obianuju B, Akanbi Maxwell O, Amadi Casmir E, Vollmer William M, Bruce Nigel G

机构信息

University of Lagos College of Medicine; Lagos University Teaching Hospital, Department of Medicine.

Jos University Teaching Hospital, Internal Medicine; Northwestern University, Center for Global Health.

出版信息

Afr Health Sci. 2017 Dec;17(4):1110-1119. doi: 10.4314/ahs.v17i4.19.

Abstract

BACKGROUND

Factors associated with tobacco smoking are useful in designing tobacco control programs.

OBJECTIVES

To estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers.

METHODS

A cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they received annual health screening (AHS) or not (non-AHS). We used a structured questionnaire to obtain information and weighted the resulting observations to derive population based estimates. Association between tobacco smoking and socio-demographic factors was explored in multivariate models.

RESULTS

A total of 414 male drivers, with a mean age of 43.6 (standard error 0.6) years were studied. Population weighted prevalence of current smoking was 18.9% (95% CI: 14.3-23.4) all drivers, 6.5% (95% CI: 2.6-10.4) of AHS drivers and 19.5 (95% CI: 14.7-24.2) of non-AHS drivers (p<0.001). In multivariate models, having close friends that smoked (OR= 6.36, 95% CI= 2.49 - 16.20) cargo driving (OR= 2.58, 95% CI= 1.29 - 5.15) and lower education levels (OR for post-secondary education vs. Primary education or less= 0.17, 95% CI= 0.04 - 0.81) were associated with current smoking.

CONCLUSION

Prevalence of tobacco smoking is higher among non-AHS compared to AHS drivers. Having close friends that smoked, cargo driving, and lower education levels were associated with current smoking.

摘要

背景

与吸烟相关的因素有助于设计控烟项目。

目的

估计长途司机中吸烟的患病率及相关因素。

方法

一项横断面研究。采用分层整群抽样方法,根据司机是否接受年度健康筛查(AHS)将其分为AHS组和非AHS组。我们使用结构化问卷获取信息,并对所得观察结果进行加权,以得出基于人群的估计值。在多变量模型中探讨吸烟与社会人口学因素之间的关联。

结果

共研究了414名男性司机,平均年龄为43.6(标准误0.6)岁。所有司机当前吸烟的人群加权患病率为18.9%(95%CI:14.3 - 23.4),AHS组司机为6.5%(95%CI:2.6 - 10.4),非AHS组司机为19.5%(95%CI:14.7 - 24.2)(p<0.001)。在多变量模型中,有吸烟的密友(OR = 6.36,95%CI = 2.49 - 16.20)、从事货物运输(OR = 2.58,95%CI = 1.29 - 5.15)以及较低的教育水平(大专教育与小学教育或以下相比的OR = 0.17,95%CI = 0.04 - 0.81)与当前吸烟有关。

结论

与AHS组司机相比,非AHS组司机的吸烟患病率更高。有吸烟的密友、从事货物运输和较低的教育水平与当前吸烟有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7747/5870278/70ea2968f8fc/AFHS1704-1110Fig1.jpg

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