Evidence map›Paper›PMID 39402477›Full record

ArticleBMC public health2024

Smoking cessation and mortality risk reduction in older adults with long-term smoking history.

Shimin Chen, Shanshan Yang, Shengshu Wang, Haowei Li, Rongrong Li, Huaihao Li, Yueting Shi, Junhan Yang, Yinghui Bao, Shengyan Du and 5 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Shimin ChenGraduate School, Chinese PLA General Hospital & Chinese PLA Medical Academy, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Shanshan YangDepartment of Disease Prevention and Control, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Shengshu WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Haowei LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Rongrong LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Huaihao LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Yueting ShiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Junhan YangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Yinghui BaoInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Shengyan DuInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Min ZhaoInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Wenchang WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Jianhua WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Miao LiuGraduate School, Chinese PLA General Hospital & Chinese PLA Medical Academy, No.28 Fuxing Road, Haidian District, Beijing, 100853, China. liumiaolmbxb@163.com.
Yao HeInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China. yhe301@sina.com.

Funding

Capital's Funds for Health Improvement and Research 2022-2G-5031National Nature Science Foundation of China 82173589National Nature Science Foundation of China 82173590
6 · The paper itself

Abstract

backgroundThe association between smoking cessation and decreased mortality existed among former smokers has been well documented. However, evidence is limited for smokers with long-term exposure. This study aims to quantify the association between smoking cessation and mortality by years since quitting in older adults with long-term smoking history.

methodsData from Beijing Healthy Aging Cohort Study (BHACS), conducted among communities aged over 55 years old at recruitment, were collected via questionnaire between July 2009 and September 2015 and followed up for all-cause and cancer mortality until March 2021. Self-reported smoking status and years since quitting were collected at baseline. Cox proportional hazards models were used to examine the association between smoking cessation and all-cause and cancer mortality.

resultsA total of 11 235 participants (43.9% male) were included, with a mean age of 70.35 (SD 7.71) years. Former smokers comprised 31.7% of the cohort, with a median smoking duration of 43 (IQR: 34-50) years. During 71 573 person-years of follow-up, there were 1 617 deaths (14.4% of the total cohort), of which 872 (17.7%) occurred among male participants. Compared with never smokers, HR (95%CI) for participants who current smoked was 2.898 (2.092-4.013); quit smoking less than 10 years (medians [quartiles] 4 [1, 7] years) before recruitment was 2.738(1.972-3.802); 10 to 20 years (16 [13, 20] years), 1.807(1.286-2.540); and 20 years or more (30 [25, 37] years), 1.293(0.981-1.705). The risk of all-cause and cancer mortality decreased gradually over years since quitting. Quitting less than 10 years, 10 to 20 years and 20 years or more, former smokers avoided an estimated 8.4%, 57.5% and 84.6% of excess all-cause mortality associated with current smoking, respectively. The association between smoking cessation and decreased mortality was observed among former smokers regardless of smoking history.

conclusionsIn this study, current smoking was associated with nearly triple the mortality risk compared to never smoking. Smoking cessation, even after a long-term smoking history, was associated with significant decreases in the relative excess mortality linked to continuing smoking. The association were more pronounced in men.

Indexed as

NeoplasmsSmoking CessationAgedBeijingCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk Reduction BehaviorSmokingTime FactorsLong-term smokersMortalityOlder adultsSmoking cessation

Identifiers

PMID39402477
PMCPMC11475556

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.