吸烟对死亡率的影响是否因为忽视了二手烟而被低估了?东北医疗大型银行社区队列研究。

BMJ public health Pub Date : 2025-04-02 eCollection Date: 2025-01-01 DOI:10.1136/bmjph-2024-001746
Masato Takase, Naoki Nakaya, Kozo Tanno, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Sayuri Tokioka, Kotaro Nochioka, Takahiro Tabuchi, Taku Obara, Mami Ishikuro, Yuka Kotozaki, Akira Uruno, Tomoko Kobayashi, Eiichi N Kodama, Yohei Hamanaka, Masatsugu Orui, Soichi Ogishima, Satoshi Nagaie, Takahito Nasu, Hideki Ohmomo, Nobuo Fuse, Junichi Sugawara, Shinichi Kuriyama, Yoko Izumi, Atsushi Hozawa
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引用次数: 0

摘要

研究目的以往的研究使用人群可归因分数(PAF)评估了主动吸烟对死亡率的影响。然而,这些研究并不包括二手烟(SHS),因此可能低估了吸烟的影响。我们比较了单纯主动吸烟的 PAF 和包括 SHS 暴露在内的 PAF:设计:前瞻性队列研究:背景:日本一项基于社区的队列研究:40 796 名年龄≥20 岁的参与者:SHS的定义是过去一年中在工作场所或家中吸入他人的香烟烟雾。我们将吸烟状况和SHS分为十类:从不吸烟但无SHS、从不吸烟但有SHS、过去吸烟但无SHS、过去吸烟但有SHS、当前吸烟1-9支/天但无SHS、当前吸烟1-9支/天但有SHS、10-19支/天但无SHS、10-19支/天但有SHS、≥20支/天但无SHS和≥20支/天但有SHS。主要结果是全因死亡率:中位随访期为 6.5(5.7-7.5)年,共有 788 名男性和 328 名女性死亡。就男性而言,与从未吸过烟的人相比,过去吸过烟但没有吸过烟的人(HR,1.39 [95% CI,1.11 至 1.73])和过去吸过烟但吸过烟的人(HR,1.48 (95% CI,1.10 至 2.00))与全因死亡率相关。对于女性而言,从未吸过二手烟者的全因死亡风险明显更高(HR,1.36(95% CI,1.00 至 1.84))。在不考虑SHS的情况下,男性和女性中分别有28.0%和2.3%的全因死亡率可归因于过去和现在吸烟。如果将SHS计算在内,男性和女性的PAF分别增加到31.3%和8.4%:我们发现,如果不考虑SHS,就会低估吸烟的影响,尤其是对女性的影响。有关 SHS 的信息对于了解吸烟对健康的影响至关重要。这项研究支持了避免吸烟和预防 SHS 的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Has the impact of cigarette smoking on mortality been underestimated by overlooking second-hand smoke? Tohoku medical megabank community-based cohort study.

Objectives: Previous studies have assessed the impact of active smoking on mortality using the population-attributable fraction (PAF). However, these studies have not included second-hand smoking (SHS), potentially underestimating smoking's impact. We compared the PAF from active smoking alone with the PAF, including SHS exposure.

Design: Prospective cohort study.

Setting: A community-based cohort study in Japan.

Participants: 40 796 participants aged ≥20 years.

Main outcome measures: SHS was defined as inhaling someone else's cigarette smoke at the workplace or home in the past year. We classified smoking status and SHS into ten categories: never-smoker without SHS, never-smoker with SHS, past smoker without SHS, past smoker with SHS, current smoker 1-9 cigarettes/day without SHS, current smoker 1-9 cigarettes/day with SHS, 10-19 cigarettes/day without SHS, 10-19 cigarettes/day with SHS, ≥20 cigarettes/day without SHS and ≥20 cigarettes/day with SHS. The main outcome was all-cause mortality.

Results: During the median follow-up period of 6.5 (5.7-7.5) years, 788 men and 328 women died. For men, compared with never-smokers without SHS, past smokers without SHS (HR, 1.39 [95% CI, 1.11 to 1.73]) and past smokers with SHS (HR, 1.48 (95% CI, 1.10 to 2.00)) were associated with all-cause mortality. For women, never-smokers with SHS had a significantly higher risk of all-cause mortality (HR, 1.36 (95% CI, 1.00 to 1.84)). Without considering SHS, 28.0% and 2.3% of all-cause mortality in men and women, respectively, were attributable to past and current smoking. Including SHS, PAF increased to 31.3% in men and 8.4% in women.

Conclusions: We clarified that smoking's impact was underestimated by not accounting for SHS, especially in women. Information on SHS is crucial for understanding smoking's health impact. This study supports the importance of avoiding smoking and preventing SHS.

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