Feng Xiaoqi, Astell-Burt Thomas, Kolt Gregory S
School of Health and Society, University of Wollongong, Wollongong, Australia; Menzies Centre for Health Policy, University of Sydney, Sydney, Australia; Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia; School of Science and Health, University of Western Sydney, Sydney, Australia.
School of Science and Health, University of Western Sydney, Sydney, Australia.
Prev Med. 2014 Dec;69:172-5. doi: 10.1016/j.ypmed.2014.09.015. Epub 2014 Oct 2.
This study investigated variation in unhealthy lifestyles within Australia according to where people were born.
Multilevel linear regression models were used to explore variation in co-occurring unhealthy lifestyles (from 0 to 8) constructed from responses to tobacco smoking, alcohol consumption, moderate-to-vigorous physical activity and a range of dietary indicators for 217,498 adults born in 22 different countries now living in Australia. Models were adjusted for socio-economic variables. Data was from the 45 and Up Study (2006-2009). Further analyses involved multilevel logistic regression to examine country-of-birth patterning of each individual unhealthy lifestyle.
Small differences in the co-occurrence of unhealthy lifestyles were observed by country of birth, ranging from 3.1 (Philippines) to 3.8 (Russia). More substantial variation was observed for each individual unhealthy lifestyle. Smoking and alcohol ranged from 7.3% and 4.2% (both China) to 28.5% (Lebanon) and 30.8% (Ireland) respectively. Non-adherence to physical activity guidelines was joint-highest among participants born in Japan and China (both 74.5%), but lowest among those born in Scandinavian countries (52.5%). Substantial variation in meeting national dietary guidelines was also evident between participants born in different countries.
The growing trend for constructing unhealthy lifestyle indices can hide important variation in individual unhealthy lifestyles by country of birth.
本研究调查了澳大利亚境内根据出生地不同而存在的不健康生活方式差异。
采用多级线性回归模型,探讨由217498名现居住在澳大利亚、出生于22个不同国家的成年人对吸烟、饮酒、中度至剧烈身体活动及一系列饮食指标的回答所构建的同时存在的不健康生活方式(从0至8种)的差异。模型针对社会经济变量进行了调整。数据来自“45岁及以上研究”(2006 - 2009年)。进一步分析包括多级逻辑回归,以检验每种个体不健康生活方式的出生国模式。
根据出生国观察到不健康生活方式同时出现的差异较小,范围从3.1(菲律宾)至3.8(俄罗斯)。每种个体不健康生活方式观察到的差异更为显著。吸烟率和饮酒率分别从7.3%和4.2%(均为中国)至28.5%(黎巴嫩)和30.8%(爱尔兰)不等。不遵守身体活动指南的情况在出生于日本和中国的参与者中并列最高(均为74.5%),但在出生于斯堪的纳维亚国家的参与者中最低(52.5%)。在不同国家出生的参与者之间,在符合国家饮食指南方面也存在显著差异。
构建不健康生活方式指数的增长趋势可能会掩盖根据出生国不同而存在的个体不健康生活方式的重要差异。