Morris Lara J, D'Este Catherine, Sargent-Cox Kerry, Anstey Kaarin J
Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Building 62, Eggleston Road, Canberra, ACT 2601, Australia.
National Centre for Epidemiology & Population Health, Research School of Population Health, Australian National University, Building 62, Eggleston Road, Canberra, ACT 2601, Australia.
Prev Med. 2016 Mar;84:1-5. doi: 10.1016/j.ypmed.2015.12.009. Epub 2015 Dec 29.
To examine clustering among three major lifestyle risk factors for chronic disease (smoking, alcohol, and physical inactivity) and define sociodemographic subgroups with elevated risks of multiple lifestyle risk factors.
Data on 6052 adults aged 28-32, 48-52, and 68-72 from wave 3 (2007-2010) of the PATH Through Life Cohort Study, Australia, were used to estimate prevalence of individual and combinations of risk factors, and multinomial regression analysis undertaken to examine demographic factors associated with number of risks.
Clustering of risks varied by age and gender, with more people than expected having none or all of the risk factors. Smoking clustered with harmful alcohol use, as well as physical inactivity. No relationship was observed between physical inactivity and alcohol use. Several sociodemographic characteristics were associated with the number of lifestyle risk factors including partner status, gender, age, education, and physical and mental health related quality of life.
The tendency for lifestyle risk factors to aggregate in different subgroups has meaningful implications for health promotion strategies. Better insight in the more vulnerable subpopulations that are at higher risk of displaying multiple lifestyle risk factors is of importance if we wish to reduce the population propensity for chronic disease.
研究慢性病的三大主要生活方式风险因素（吸烟、饮酒和缺乏身体活动）之间的聚集情况，并确定具有多种生活方式风险因素高风险的社会人口亚组。
利用澳大利亚“贯穿一生队列研究”第三波（2007 - 2010年）中6052名年龄在28 - 32岁、48 - 52岁和68 - 72岁成年人的数据，估计个体风险因素及风险因素组合的患病率，并进行多项回归分析以研究与风险数量相关的人口统计学因素。
风险聚集情况因年龄和性别而异，没有或有所有风险因素的人数多于预期。吸烟与有害饮酒以及缺乏身体活动聚集在一起。未观察到缺乏身体活动与饮酒之间的关系。包括伴侣状况、性别、年龄、教育程度以及与身心健康相关的生活质量在内的几个社会人口学特征与生活方式风险因素的数量有关。
生活方式风险因素在不同亚组中聚集的趋势对健康促进策略具有重要意义。如果我们希望降低人群患慢性病的倾向，更好地了解那些更易出现多种生活方式风险因素的高危亚人群至关重要。
