区分邻里特征与男孩和女孩缺乏身体活动、久坐行为时间和屏幕时间之间的联系。

Ana Andreea Lungu, Adrian E Ghenadenik, Andraea Van Hulst, Marie-Eve Mathieu, Melanie Henderson, Yan Kestens, Tracie A Barnett
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引用次数: 0

摘要

目的:身体不活动(PI)、久坐行为时间(SB)和屏幕时间(ST)是相关但不同的行为,可能需要单独的研究和环境干预框架。我们在两个时间点,即儿童期(8-10岁)和青春期前(10-12岁),研究了有肥胖风险的男孩和女孩的邻里特征与PI/SB/ST之间的关系。方法:数据来自QUALITY队列,这是一项正在进行的对630个魁北克家庭肥胖自然史的研究。基于加速度计,超额PI被定义为累积50%的磨损时间,超额ST是基于自我报告的,被定义为报告bbb - 2小时/天的休闲ST。使用直接观察和地理信息系统测量邻里特征,包括存在体育活动设施、绿地、可步行性、交通指标、物理障碍和食物景观指标。在儿童8-10岁时测量邻里特征。在每个时间点估计单独的逻辑回归模型。模型控制了儿童年龄、父母体重指数、父母教育程度和地区物质匮乏。结果:在所有年龄和性别群体中,公园数量较多的社区,ST过量的几率较低[or范围为0.70 (95% CI: 0.54-0.91)至0.81(95% CI: 0.65-1.01)]。在男孩中,体育活动结构较多的社区中,过量SB的几率较低(OR: 0.44;95% ci: 0.20-0.99);在女孩中,在人行道较多的社区(OR: 0.67, 95% CI: 0.47-0.95)和完全居住的社区(OR: 0.13, 95% CI: 0.04-0.45),过量SB的几率较低。与PI相关的邻域特征很少。结论:我们的研究结果表明,在父母肥胖的儿童中,PI、SB和ST具有共同的和不同的环境决定因素。虽然在不同的背景和人群中可能出现不同的模式,但仍然有必要考虑到,改变建筑环境的特定特征可能对某些结果比其他结果更有效,并且可能不是所有群体都能平等地受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distinguishing associations between neighbourhood features and physical inactivity, sedentary behaviour time, and screen time in boys and girls.

Objective: Physical inactivity (PI), sedentary behaviour time (SB) and screen time (ST) are related but distinct behaviors for which separate research and environmental intervention frameworks may be warranted. We examined associations between neighbourhood features and PI/SB/ST among boys and girls at risk of obesity at two timepoints, i.e., childhood (8-10 years old) and pre-adolescence (10-12 years old).

Methods: Data were from the QUALITY cohort, an ongoing study of the natural history of obesity in 630 Quebec families. Based on accelerometry, excess PI was defined as accumulating < 60 min/day of moderate to vigorous physical activity and excess SB as recording < 100 counts per minute for > 50% of wear time, and excess ST was based on self report and defined as reporting > 2 h/day of recreational ST. Neighbourhood features including presence of physical activity installations, green space, walkability, traffic indicators, physical disorder and foodscape indicators were measured using direct observation and geographic information systems. Neighbourhood features were measured when children were 8-10 years of age. Separate logistic regression models were estimated at each time point. Models controlled for child's age, parental BMI, parental education, and area-level material deprivation.

Results: The odds of excess ST were lower in neighbourhoods with a higher number of parks, across all age and sex groups [ORs ranging from 0.70 (95% CI: 0.54-0.91) to 0.81(95% CI: 0.65-1.01)]. Among boys, the odds of excess SB were lower in neighbourhoods with more physical activity structures (OR: 0.44; 95% CI: 0.20-0.99); among girls, the odds of excess SB were lower in neighbourhoods with more sidewalks (OR: 0.67, 95% CI 0.47-0.95) and those that were exclusively residential (OR: 0.13, 95% CI: 0.04-0.45). Few neighbourhood features were associated with PI.

Conclusion: Our findings suggest that PI, SB and ST have both shared and distinct environmental determinants among children with parental obesity. While different patterns are likely to emerge across diverse contexts and populations, it remains relevant to consider that transforming specific features of the built environment may be more effective for some outcomes than others, and may not benefit all groups equally.

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