搬到东村(前伦敦2012年奥运会运动员村)对身体活动和肥胖水平的影响

C. Nightingale, B. Ram, E. Limb, A. Shankar, D. Procter, A. Cooper, A. Page, C. Clary, D. Lewis, S. Cummins, A. Ellaway, B. Giles-Corti, P. Whincup, A. Rudnicka, D. Cook, C. Owen
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Objective measures of PA using accelerometry (ActiGraph GT3X+), body mass index (BMI) and bioelectrical impedance (fat mass %) were made. We examined change in levels of PA and adiposity, using multilevel models adjusting for sex, age group, ethnicity, housing sector (fixed effects) and household (random effect), comparing those who moved to East Village (intervention group) with those who lived outside East Village (control group). Effects by housing sector and weekdays versus weekends for PA were also examined. Results 877 adults (69%) were followed-up, half had moved to East Village. Moving to East Village was associated with a small increase in daily steps (151, 95% CI −233, 534), more so in the intermediate sector (399, 95% CI −211, 1009) than in the social and market-rent sectors, but effects were not statistically significant. There were no differences in time spent in moderate-to-vigorous PA (MVPA) or any appreciable weekday versus weekend effects. 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引用次数: 2

摘要

人们对建筑环境是否影响健康行为越来越感兴趣,但强有力的纵向证据有限。我们评估了搬进东村(前伦敦2012年奥运会运动员村)的影响,这是一个建立在积极设计原则基础上的社区,对成年人的身体活动水平(PA)和肥胖水平。方法在2013-2015年招募了1278名16岁以上的成年人,他们寻求搬进社会、中间(混合共有所有权、共有股权、可负担租金)和市场租金的东村住房,并在两年后进行了随访。采用加速度计(ActiGraph GT3X+)、体重指数(BMI)和生物电阻抗(脂肪质量%)对PA进行客观测量。我们检查了PA和肥胖水平的变化,使用多层模型调整性别、年龄组、种族、住房部门(固定效应)和家庭(随机效应),比较了搬到东村的人(干预组)和住在东村以外的人(对照组)。还研究了住房部门和工作日与周末对PA的影响。结果随访877名成人(69%),其中半数已迁入东村。搬到东村与每日步数的小幅增加有关(151,95% CI - 233,534),在中间部门(399,95% CI - 211, 1009)比在社会和市场租金部门更重要,但影响没有统计学意义。在中度到剧烈的PA (MVPA)中花费的时间没有差异,也没有任何明显的工作日与周末的影响。除了市场租房组外,总体和住房部门在轻度PA或久坐时间上没有差异(- 13.0分钟,95% CI - 24.7, -1.2分钟)。搬到东村对BMI或总体脂肪量百分比或住房部门没有影响。在两年的随访中,搬到东村(一个为健康积极生活而设计的社区)对客观测量的身体活动或具有公共卫生重要性的肥胖没有有益的、一致的影响。
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OP79 The effect of moving to east village (the former london 2012 olympic games athletes village) on physical activity and adiposity levels
Background There has been increasing interest in whether the built environmentinfluences health behaviours, but robust longitudinal evidence is limited. We assessed the effect of moving into East Village (the former London 2012 Olympic Games Athletes Village), a neighbourhood built on active design principles, on levels of physical activity (PA) and adiposity among adults. Methods A cohort of 1278 adults (16+) seeking to move into social, intermediate (a mixture of shared ownership, shared equity, affordable rent), and market-rent East Village accommodation were recruited in 2013–2015, and followed up after two years. Objective measures of PA using accelerometry (ActiGraph GT3X+), body mass index (BMI) and bioelectrical impedance (fat mass %) were made. We examined change in levels of PA and adiposity, using multilevel models adjusting for sex, age group, ethnicity, housing sector (fixed effects) and household (random effect), comparing those who moved to East Village (intervention group) with those who lived outside East Village (control group). Effects by housing sector and weekdays versus weekends for PA were also examined. Results 877 adults (69%) were followed-up, half had moved to East Village. Moving to East Village was associated with a small increase in daily steps (151, 95% CI −233, 534), more so in the intermediate sector (399, 95% CI −211, 1009) than in the social and market-rent sectors, but effects were not statistically significant. There were no differences in time spent in moderate-to-vigorous PA (MVPA) or any appreciable weekday versus weekend effects. There was no evidence of differences in time spent in light PA or sedentary time both overall and by housing sector with the exception of the market-rent group in whom moving to East Village was associated with a decrease in light PA (−13.0 mins, 95% CI −24.7,–1.2 mins). There were no effects of moving to East Village on BMI or fat mass% overall or by housing sector. Conclusion At two-year follow-up, moving to East Village, a neighbourhood designed for healthy active living, did not have beneficial, consistent effects on objectively measured physical activity or adiposity of public health importance.
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