卢旺达饮料工业工人及其配偶的吸烟和生物标志物特征:一项横断面研究。

IF 2.5
PLOS global public health Pub Date : 2025-07-03 eCollection Date: 2025-01-01 DOI:10.1371/journal.pgph.0003946
Charles Nsanzabera, Jean Claude Rukundo, Mustafe Yusuf Said, Leonard Ndayisenga
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引用次数: 0

摘要

在全球范围内,吸烟每年导致700多万例可预防的死亡,男性(16%)高于女性(7%)。虽然高收入国家的吸烟率有所下降,但卢旺达的烟草使用率仍然相对较低,14%的男性和3%的女性受到影响。对饮料业工人及其配偶的关注是合理的,因为他们的收入水平较高,而且可能面临通常与吸烟有关的压力职业因素。该研究旨在评估卢旺达饮料工业工人及其配偶的吸烟率和生物标志物概况。本研究采用横断面研究设计在卢旺达饮料制造业进行。这项研究的对象是822名年龄在30-75岁之间的人,其中包括饮料行业的员工及其配偶。最初的样本量为384人,使用Cochrane公式计算,考虑到无反应,将其调整为440人。数据收集于2018年5月至12月进行。数据分析采用SPSS version 22,采用卡方检验和logistic回归检验评估烟草使用及其他相关因素,显著性截止值为p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tobacco smoking and biomarker profile among beverage industrial workers and their spouses in Rwanda: A cross-sectional study.

Globally, smoking leads to over 7 million preventable deaths annually, with higher rates in men (16%) than women (7%). Although smoking rates have declined in high-income countries, tobacco use in Rwanda remains relatively low, with 14% of men and 3% of women affected. The focus on beverage industry workers and their spouses is justified by their higher income levels and potential exposure to stressful occupational factors that are commonly associated with smoking. The study aimed to assess tobacco smoking prevalence and the biomarker profiles of beverage industrial workers and their spouses in Rwanda. This research employed a cross-sectional study design conducted in a beverage manufacturing industry in Rwanda. The study targeted 822 individuals, including beverage industry employees and their spouses, aged 30-75 years. An initial sample size of 384 was calculated using the Cochrane formula, which was adjusted to 440 to account for non-responses. Data collection was conducted from May to December 2018. Data analysis was conducted using SPSS version 22, with chi-square and logistic regression tests to assess tobacco use and other associated factors with a significance cutoff of p < 0.05 at 95% CI. The study controlled for confounders by increasing the sample size and using stratified and simple random sampling to ensure representativeness. Additionally, the multicollinearity test with VIF and selection of variables for multivariate analysis were ensured. The analysis reveals 6.8% were smokers and several key predictors of smoking behavior. Participants with elevated cardiovascular disease (CVD) risk (≥10%) have significantly higher odds of smoking, with an adjusted odds ratio of 2.95 (95% CI: 1.10-7.88), suggesting that CVD risk is a crucial factor in smoking behavior due to overlapping lifestyle risks. Additionally, high serum uric acid (SUA) levels (≥7 mg/dl) are strongly associated with smoking, with an adjusted odds ratio of 4.28 (95% CI: 1.14-11.87), indicating that elevated SUA levels are over four times more likely to be linked to smoking. Age is another significant predictor, with participants aged 50 years or older being nearly three times more likely to smoke compared to younger individuals, as shown by an adjusted odds ratio of 2.77 (95% CI: 1.13-6.80). Participants with hypertension or those treated for hypertension have lower adjusted odds ratio of 0.38 (95% CI: 0.10-1.45). The study's findings could guide public health policymakers in designing workplace-based smoking cessation programs tailored to industry employees and their spouses. The study found that tobacco smoking is relatively low in this population, with elevated cardiovascular disease risk. Also, there are significant associations between tobacco smoking and elevated CVD risk, high SUA levels, and older age. Policymakers should implement targeted awareness campaigns and education programs addressing the specific risk factors identified.

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