Fisher Stacey, Bennett Carol, Hennessy Deirdre, Finès Philippe, Jessri Mahsa, Bader Eddeen Anan, Frank John, Robertson Tony, Taljaard Monica, Rosella Laura C, Sanmartin Claudia, Jha Prabhat, Leyland Alastair, Manuel Douglas G
Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
ICES, Ottawa and Toronto, Ontario, Canada.
BMC Public Health. 2022 Mar 10;22(1):478. doi: 10.1186/s12889-022-12849-y.
Modern health surveillance and planning requires an understanding of how preventable risk factors impact population health, and how these effects vary between populations. In this study, we compare how smoking, alcohol consumption, diet and physical activity are associated with all-cause mortality in Canada and the United States using comparable individual-level, linked population health survey data and identical model specifications.
The Canadian Community Health Survey (CCHS) (2003-2007) and the United States National Health Interview Survey (NHIS) (2000, 2005) linked to individual-level mortality outcomes with follow up to December 31, 2011 were used. Consistent variable definitions were used to estimate country-specific mortality hazard ratios with sex-specific Cox proportional hazard models, including smoking, alcohol, diet and physical activity, sociodemographic indicators and proximal factors including disease history.
A total of 296,407 respondents and 1,813,884 million person-years of follow-up from the CCHS and 58,232 respondents and 497,909 person-years from the NHIS were included. Absolute mortality risk among those with a 'healthy profile' was higher in the United States compared to Canada, especially among women. Adjusted mortality hazard ratios associated with health behaviours were generally of similar magnitude and direction but often stronger in Canada.
Even when methodological and population differences are minimal, the association of health behaviours and mortality can vary across populations. It is therefore important to be cautious of between-study variation when aggregating relative effect estimates from differing populations, and when using external effect estimates for population health research and policy development.
现代健康监测与规划需要了解可预防风险因素如何影响人群健康,以及这些影响在不同人群之间如何变化。在本研究中,我们使用可比的个体层面、关联的人群健康调查数据和相同的模型规格,比较加拿大和美国吸烟、饮酒、饮食和身体活动与全因死亡率之间的关联。
使用加拿大社区健康调查(CCHS)(2003 - 2007年)和美国国家健康访谈调查(NHIS)(2000年、2005年),并与截至2011年12月31日的个体层面死亡率结果相链接。使用一致的变量定义,通过特定性别的Cox比例风险模型估计各国的死亡率风险比,包括吸烟、饮酒、饮食和身体活动、社会人口统计学指标以及包括疾病史在内的近端因素。
CCHS共纳入296,407名受访者和1,813,884万人年的随访,NHIS纳入58,232名受访者和497,909人年。与加拿大相比,美国“健康状况良好”人群的绝对死亡风险更高,尤其是女性。与健康行为相关的调整后死亡率风险比通常在幅度和方向上相似,但在加拿大往往更强。
即使方法学和人群差异最小,健康行为与死亡率之间的关联在不同人群中也可能有所不同。因此,在汇总来自不同人群的相对效应估计值,以及将外部效应估计值用于人群健康研究和政策制定时,谨慎对待研究间的差异非常重要。