Stone Matthew D, Pierce John P, Dang Brian, McMenamin Sara B, Donaldson Candice D, Zhang Xueying, Strong David R, Shi Yuyan, Messer Karen, Trinidad Dennis R
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Moores Cancer Center, University of California, San Diego, La Jolla.
JAMA Netw Open. 2025 Apr 1;8(4):e256834. doi: 10.1001/jamanetworkopen.2025.6834.
There are still significant population-level health consequences of cigarette smoking in US states.
To estimate whether differential sociodemographic trends in smoking prevalence since 1992 will close the prevalence gap between states by 2035.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included data from 18 repeated, state-representative US Tobacco Use Supplement to the Current Population Surveys (TUS-CPS) from 1992 to 2022. Data were analyzed between June and October 2024.
Nonlinear time series trends in smoking prevalence in US states from 1992 to 2022 were projected through 2035 and compared with recommended targets. States were grouped into tertiles using their 1990s prevalence. Differential change in sociodemographic groups were compared across tertiles.
The 18 surveys comprised 1 770 442 respondents (997 569 female [56.3%]; 146 865 Hispanic [8.3%], 160 751 non-Hispanic Black [9.1%], and 1 373 454 non-Hispanic White [78.0%]). From 1992 to 2022, all state tertiles experienced significant declines in smoking prevalence, each decreasing by approximately 13 percentage points from 2001 to 2022. In 2022, prevalence was 7.4% (95% CI, 6.9% to 7.9%) in tertile 1 (lowest 1990s prevalence), 10.0% (95% CI, 9.2% to 10.8%) in tertile 2, and 12.7% (95% CI, 11.9% to 13.4%) in tertile 3. Projections to 2035 indicated the prevalence gap closing between tertiles, to 3.8% (95% CI, 2.6% to 5.1%) in tertile 1, to 5.1% (95% CI, 3.2% to 7.2%) in tertile 2, and to 6.6% (95% CI, 4.8% to 9.1%) in tertile 3. The only sociodemographic trend that reduced the gap occurred among individuals aged 18 to 24 year (tertile 3 change, -21.3% [95% CI, -24.5% to -18.2%] vs tertile 1 change, -16.4% [95% CI, -18.5% to -14.4%]; P = .005). Yet age was not a significant factor in projected changes, as the decline in the group aged 50 years and older was greater in tertile 1 than 3 (-4.7% [95% CI, -5.7% to -3.8%] vs -2.3% [95% CI, -3.5% to -1.2%]; P < .001). By 2035, only 4 states (California, Utah, Hawaii, and Colorado) were projected to be significantly under the recommended target of 5% prevalence.
The findings of these repeated cross-sectional surveys suggest that the difference in cigarette smoking prevalence between historically high vs low prevalence states will shrink by 2035, primarily from much faster declines among young adults in the traditionally highest prevalence states. Slower prevalence declines among older adults are likely to slow the decline in health consequences in these states.
在美国各州,吸烟仍会对人群健康产生重大影响。
评估自1992年以来吸烟流行率的社会人口统计学差异趋势是否会在2035年缩小各州之间的流行率差距。
设计、背景和参与者:这项横断面研究纳入了1992年至2022年期间18次具有州代表性的美国当前人口调查烟草使用补充调查(TUS-CPS)的数据。数据于2024年6月至10月进行分析。
对1992年至2022年美国各州吸烟流行率的非线性时间序列趋势进行预测,直至2035年,并与推荐目标进行比较。根据20世纪90年代的流行率将各州分为三分位数组。比较各三分位数组中社会人口统计学群体的差异变化。
18项调查共有1770442名受访者(997569名女性[56.3%];146865名西班牙裔[8.3%],160751名非西班牙裔黑人[9.1%],1373454名非西班牙裔白人[78.0%])。从1992年到2022年,所有州的三分位数组吸烟流行率均显著下降,从2001年到2022年,每组均下降了约13个百分点。2022年,第一三分位数组(20世纪90年代流行率最低)的流行率为7.4%(95%CI,6.9%至7.9%),第二三分位数组为10.0%(95%CI,9.2%至10.8%),第三三分位数组为12.7%(95%CI,11.9%至13.4%)。到2035年的预测表明,三分位数组之间的流行率差距正在缩小,第一三分位数组为3.8%(95%CI,2.6%至5.1%),第二三分位数组为5.1%(95%CI,3.2%至7.2%),第三三分位数组为6.6%(95%CI,4.8%至9.1%)。唯一能缩小差距的社会人口统计学趋势出现在18至24岁的人群中(第三三分位数组变化,-21.3%[95%CI,-24.5%至-18.2%],而第一三分位数组变化,-16.4%[95%CI,-18.5%至-14.4%];P = 0.005)。然而,年龄并不是预测变化的显著因素,因为50岁及以上人群在第一三分位数组中的下降幅度大于第三三分位数组(-4.7%[95%CI,-5.7%至-3.8%]对-2.3%[95%CI,-3.5%至-1.2%];P < 0.001)。到2035年,预计只有4个州(加利福尼亚州、犹他州、夏威夷州和科罗拉多州)的流行率将显著低于推荐目标的5%。
这些重复横断面调查的结果表明,到2035年,历史上高流行率州与低流行率州之间的吸烟流行率差异将缩小,主要是因为传统上流行率最高的州中年轻人的下降速度更快。老年人中流行率下降较慢可能会减缓这些州健康影响的下降速度。