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本文引用的文献

1
Does rising crime lead to increasing distress? Longitudinal analysis of a natural experiment with dynamic objective neighbourhood measures.犯罪率上升是否会导致人们感到更加痛苦?利用动态客观邻里措施的自然实验进行的纵向分析。
Soc Sci Med. 2015 Aug;138:68-73. doi: 10.1016/j.socscimed.2015.05.014. Epub 2015 May 12.
2
Reconnecting urban planning with health: a protocol for the development and validation of national liveability indicators associated with noncommunicable disease risk behaviours and health outcomes.重新将城市规划与健康联系起来:一项关于制定和验证与非传染性疾病风险行为及健康结果相关的国家宜居性指标的方案。
Public Health Res Pract. 2014 Nov 28;25(1):e2511405. doi: 10.17061/phrp2511405.
3
Lessons from complex interventions to improve health.改善健康的复杂干预措施的经验教训。
Annu Rev Public Health. 2015 Mar 18;36:307-23. doi: 10.1146/annurev-publhealth-031912-114421. Epub 2015 Jan 7.
4
Identification of the impact of crime on physical activity depends upon neighbourhood scale: multilevel evidence from 203,883 Australians.确定犯罪对身体活动的影响取决于邻里规模:来自203,883名澳大利亚人的多层次证据。
Health Place. 2015 Jan;31:120-3. doi: 10.1016/j.healthplace.2014.11.007. Epub 2014 Dec 8.
5
On the causal interpretation of race.关于种族的因果解释。
Epidemiology. 2014 Nov;25(6):937. doi: 10.1097/EDE.0000000000000185.
6
A longitudinal analysis of the influence of the neighborhood built environment on walking for transportation: the RESIDE study.基于邻里建成环境对步行交通出行影响的纵向分析:RESIDE 研究。
Am J Epidemiol. 2014 Sep 1;180(5):453-61. doi: 10.1093/aje/kwu171. Epub 2014 Aug 11.
7
Invited commentary: Taking advantage of time-varying neighborhood environments.特邀评论:利用时变的邻里环境。
Am J Epidemiol. 2014 Sep 1;180(5):462-6. doi: 10.1093/aje/kwu170. Epub 2014 Aug 11.
8
Knuiman et al. respond to "Time-varying neighborhood environments".克努伊曼等人回应《随时间变化的邻里环境》。
Am J Epidemiol. 2014 Sep 1;180(5):467-8. doi: 10.1093/aje/kwu172. Epub 2014 Aug 11.
9
The independent associations of recorded crime and perceived safety with physical health in a nationally representative cross-sectional survey of men and women in New Zealand.在一项针对新西兰男性和女性的具有全国代表性的横断面调查中,记录在案的犯罪和感知到的安全与身体健康之间的独立关联。
BMJ Open. 2014 Mar 10;4(3):e004058. doi: 10.1136/bmjopen-2013-004058.
10
Sedentary behaviour and health: mapping environmental and social contexts to underpin chronic disease prevention.久坐行为与健康:绘制环境和社会背景图,以支持慢性病预防。
Br J Sports Med. 2014 Feb;48(3):174-7. doi: 10.1136/bjsports-2013-093107.

更多的地区层面犯罪是否与更多久坐及更少身体活动相关?来自37162名澳大利亚人的纵向证据。

Is More Area-Level Crime Associated With More Sitting and Less Physical Activity? Longitudinal Evidence From 37,162 Australians.

作者信息

Astell-Burt Thomas, Feng Xiaoqi, Kolt Gregory S, Jalaludin Bin

出版信息

Am J Epidemiol. 2016 Dec 15;184(12):913-921. doi: 10.1093/aje/kww106. Epub 2016 Nov 17.

DOI:10.1093/aje/kww106
PMID:27856450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5161084/
Abstract

Does a rise in crime result in increased sitting time and a reduction in physical activity? We used unobserved ("fixed")-effects models to examine associations between change in objectively measured crime (nondomestic violence, malicious damage, breaking and entering, and stealing, theft, and robbery) in Australia and measures of sitting time, walking, and moderate-to-vigorous physical activity (MVPA) in a residentially stable sample of 17,474 men and 19,688 women at baseline (2006-2008) and follow-up (2009-2010). Possible sources of time-varying confounding included age, income, economic status, relationship (couple) status, and physical functioning. In adjusted models, an increase in all crimes of 10 counts per 1,000 residents was associated with an increase in sitting time (hours/day) among men (β = 0.21, 95% confidence interval (CI): 0.17, 0.25) and women (β = 0.18, 95% CI: 0.15, 0.22). Counterintuitively, the same increase in crime was also associated with an increase in the weekly number of ≥10-minute walking sessions (men: rate ratio (RR) = 1.01 (95% CI: 1.01, 1.02); women: RR = 1.00 (95% CI: 0.99, 1.01)) and MVPA sessions (men: RR = 1.02 (95% CI: 1.02, 1.03); women: RR = 1.01 (95% CI: 1.00, 1.02)). Similar associations were found for the other area-level crime indicators. While area-level crime prevention may be considered a lever for promoting more active lifestyles, these results suggest that the association is not unequivocal.

摘要

犯罪率上升会导致久坐时间增加和身体活动减少吗?我们使用未观察到的(“固定”)效应模型,在一个由17474名男性和19688名女性组成的居住稳定样本中,研究澳大利亚客观测量的犯罪变化(非家庭暴力、恶意破坏、非法侵入和盗窃、偷窃及抢劫)与久坐时间、步行以及中度至剧烈身体活动(MVPA)指标之间的关联。这些样本在基线期(2006 - 2008年)和随访期(2009 - 2010年)保持居住稳定。随时间变化的潜在混杂因素可能包括年龄、收入、经济状况、恋爱(伴侣)状况和身体功能。在调整后的模型中,每1000名居民中所有犯罪数量增加10起,与男性(β = 0.21,95%置信区间(CI):0.17,0.25)和女性(β = 0.18,95% CI:0.15,0.22)的久坐时间(小时/天)增加有关。与直觉相反的是,相同的犯罪率上升还与每周≥10分钟步行次数增加(男性:率比(RR) = 1.01(95% CI:1.01,1.02);女性:RR = 1.00(95% CI:0.99,1.01))以及MVPA次数增加(男性:RR = 1.02(95% CI:1.02,1.03);女性:RR = 1.01(95% CI:1.00,1.02))有关。其他地区层面的犯罪指标也发现了类似的关联。虽然地区层面的犯罪预防可能被视为促进更积极生活方式的一个手段,但这些结果表明这种关联并非明确无疑。