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Commuting by car, lifestyles, and weight gain.开车通勤、生活方式与体重增加。
Am J Prev Med. 2013 Jul;45(1):e1-e2. doi: 10.1016/j.amepre.2013.03.009.
2
Commuting by car: weight gain among physically active adults.驾车通勤:身体活跃的成年人中的体重增加。
Am J Prev Med. 2013 Feb;44(2):169-73. doi: 10.1016/j.amepre.2012.09.063.
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Automobile commuting duration and the quantity of time spent with spouse, children, and friends.汽车通勤时间与陪伴配偶、子女和朋友的时间量。
Prev Med. 2012 Sep;55(3):215-8. doi: 10.1016/j.ypmed.2012.06.015. Epub 2012 Jun 25.
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Trade-offs between commuting time and health-related activities.通勤时间与与健康相关活动之间的权衡。
J Urban Health. 2012 Oct;89(5):746-57. doi: 10.1007/s11524-012-9678-6.
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Sitting time and all-cause mortality risk in 222 497 Australian adults.222497名澳大利亚成年人的久坐时间与全因死亡风险
Arch Intern Med. 2012 Mar 26;172(6):494-500. doi: 10.1001/archinternmed.2011.2174.
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Validity of self-reported height and weight and derived body mass index in middle-aged and elderly individuals in Australia.澳大利亚中老年人群自我报告的身高、体重及由此计算的体重指数的有效性。
Aust N Z J Public Health. 2011 Dec;35(6):557-63. doi: 10.1111/j.1753-6405.2011.00742.x. Epub 2011 Sep 12.
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Kessler Psychological Distress Scale: normative data from the 2007 Australian National Survey of Mental Health and Wellbeing.凯斯勒心理困扰量表:2007 年澳大利亚全国精神健康和幸福感调查的常模数据。
Aust N Z J Psychiatry. 2011 Apr;45(4):308-16. doi: 10.3109/00048674.2010.543653. Epub 2011 Feb 21.
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Social relationships and mortality risk: a meta-analytic review.社会关系与死亡风险:一项荟萃分析研究。
PLoS Med. 2010 Jul 27;7(7):e1000316. doi: 10.1371/journal.pmed.1000316.
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Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies.睡眠时间与全因死亡率:前瞻性研究的系统评价和荟萃分析。
Sleep. 2010 May;33(5):585-92. doi: 10.1093/sleep/33.5.585.
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Sedentary behaviors increase risk of cardiovascular disease mortality in men.久坐行为会增加男性心血管疾病死亡率。
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驾驶:通往不健康生活方式和不良健康结果之路。

Driving: a road to unhealthy lifestyles and poor health outcomes.

作者信息

Ding Ding, Gebel Klaus, Phongsavan Philayrath, Bauman Adrian E, Merom Dafna

机构信息

Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.

Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia; School of Public Health, Tropical Medicine, and Rehabilitation Sciences, James Cook University, Cairns, Queensland, Australia.

出版信息

PLoS One. 2014 Jun 9;9(6):e94602. doi: 10.1371/journal.pone.0094602. eCollection 2014.

DOI:10.1371/journal.pone.0094602
PMID:24911017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4049576/
Abstract

BACKGROUND

Driving is a common part of modern society, but its potential effects on health are not well understood.

PURPOSE

The present cross-sectional study (n = 37,570) examined the associations of driving time with a series of health behaviors and outcomes in a large population sample of middle-aged and older adults using data from the Social, Economic, and Environmental Factor Study conducted in New South Wales, Australia, in 2010.

METHODS

Multiple logistic regression was used in 2013 to examine the associations of usual daily driving time with health-related behaviors (smoking, alcohol use, diet, physical activity, sedentary behavior, sleep) and outcomes (obesity, general health, quality of life, psychological distress, time stress, social functioning), adjusted for socio-demographic characteristics.

RESULTS

Findings suggested that longer driving time was associated with higher odds for smoking, insufficient physical activity, short sleep, obesity, and worse physical and mental health. The associations consistently showed a dose-response pattern and more than 120 minutes of driving per day had the strongest and most consistent associations with the majority of outcomes.

CONCLUSION

This study highlights driving as a potential lifestyle risk factor for public health. More population-level multidisciplinary research is needed to understand the mechanism of how driving affects health.

摘要

背景

驾驶是现代社会的常见组成部分,但其对健康的潜在影响尚未得到充分理解。

目的

本横断面研究(n = 37,570)利用2010年在澳大利亚新南威尔士州进行的社会、经济和环境因素研究的数据,在大量中老年人群样本中考察了驾驶时间与一系列健康行为及结果之间的关联。

方法

2013年采用多重逻辑回归分析,在对社会人口学特征进行调整后,考察日常驾驶时间与健康相关行为(吸烟、饮酒、饮食、身体活动、久坐行为、睡眠)及结果(肥胖、总体健康状况、生活质量、心理困扰、时间压力、社会功能)之间的关联。

结果

研究结果表明,驾驶时间越长,吸烟、身体活动不足、睡眠不足、肥胖以及身心健康状况较差的几率越高。这些关联始终呈现剂量反应模式,每天驾驶超过120分钟与大多数结果之间的关联最为强烈且一致。

结论

本研究强调驾驶是公共健康的一个潜在生活方式风险因素。需要开展更多基于人群的多学科研究,以了解驾驶影响健康的机制。