{"title":"Smoke-free hospitality environments and cognitive health: A population-based study in the United States","authors":"Lucie Kalousová","doi":"10.1016/j.pmedr.2024.102961","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Cigarette smoking is among the largest risk factors for cognitive decline in later life. This study examines the associations between hospitality smoke-free coverage in the US and the prevalence of self-rated cognitive function decline and disparities therein.</div></div><div><h3>Methods</h3><div>I use the repeated cross-sectional Behavioral Risk Factor Surveillance data collected between 2017 and 2022 from a sample of Americans 45 years and older and estimate logistic regression models predicting self-rated cognitive function decline by calculated smoke-free hospitality coverage in restaurants and bars.</div></div><div><h3>Results</h3><div>Fully adjusted models indicate a marginally statistically significant 0.16 percentage point reduction [CI −0.35 to 0.02] in the probability of self-rated cognitive function decline for a 10 % increase in the smoke-free bar coverage. The effect is statistically significant and larger for women, a 0.29 [CI −0.50 to −0.01] percentage point decrease, and for non-smokers, a 0.35 [CI −0.56 to −0.15] percentage point decrease. I do not find a parallel effect of smoke-free restaurant laws and I find no effect of either law on self-rated cognitive function decline-related limitations in daily life for either hospitality law.</div></div><div><h3>Conclusions</h3><div>The findings suggest that smoke-free bar laws could play a role in preventing cognitive decline among older adults in the United States. Effective public health strategies against cognitive decline should include both targeted and broad-based policy measures.</div></div>","PeriodicalId":38066,"journal":{"name":"Preventive Medicine Reports","volume":"50 ","pages":"Article 102961"},"PeriodicalIF":2.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11770490/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventive Medicine Reports","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211335524003760","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
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Abstract
Introduction
Cigarette smoking is among the largest risk factors for cognitive decline in later life. This study examines the associations between hospitality smoke-free coverage in the US and the prevalence of self-rated cognitive function decline and disparities therein.
Methods
I use the repeated cross-sectional Behavioral Risk Factor Surveillance data collected between 2017 and 2022 from a sample of Americans 45 years and older and estimate logistic regression models predicting self-rated cognitive function decline by calculated smoke-free hospitality coverage in restaurants and bars.
Results
Fully adjusted models indicate a marginally statistically significant 0.16 percentage point reduction [CI −0.35 to 0.02] in the probability of self-rated cognitive function decline for a 10 % increase in the smoke-free bar coverage. The effect is statistically significant and larger for women, a 0.29 [CI −0.50 to −0.01] percentage point decrease, and for non-smokers, a 0.35 [CI −0.56 to −0.15] percentage point decrease. I do not find a parallel effect of smoke-free restaurant laws and I find no effect of either law on self-rated cognitive function decline-related limitations in daily life for either hospitality law.
Conclusions
The findings suggest that smoke-free bar laws could play a role in preventing cognitive decline among older adults in the United States. Effective public health strategies against cognitive decline should include both targeted and broad-based policy measures.