Astell-Burt Thomas, Feng Xiaoqi, Kolt Gregory S, Jalaludin Bin
Am J Epidemiol. 2016 Dec 15;184(12):913-921. doi: 10.1093/aje/kww106. Epub 2016 Nov 17.
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.
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。