Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Int J Behav Nutr Phys Act. 2024 Mar 4;21(1):27. doi: 10.1186/s12966-024-01574-x.
Parental practices and neighbourhood environmental factors may influence children's movement behaviours. We aimed to investigate the cross-sectional and prospective associations of parental practices and neighbourhood environmental factors with accelerometer-measured 24-hour movement behaviours (24 h-MBs) among school-aged children in Singapore.
The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study collected information on dimensions of parental practices and neighbourhood environment at age 5.5 years. Confirmatory factor analyses were performed to generate latent variables and used to compute overall parental practices [involvement in PA + support for PA + control of screen viewing context] and environmental scores [facilities for active play + active mobility facilitators + barriers*-1]. Children wore an accelerometer on their non-dominant wrist for seven consecutive days at ages 5.5 and 8 years. The R-package GGIR 2.6 was used to derive moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), inactivity, and total-sleep (napping+night sleep) minutes per day. Associations were determined using compositional data analysis with multivariate linear regression models, taking into account potential confounders.
Among 425 children (48% girls, 59% Chinese), higher parental involvement in PA, parental support for PA and overall parental practices were associated with 24 h-MBs at ages 5.5 and 8 years, specifically with greater time spent in MVPA and less time being inactive relative to the remaining movement behaviours. The corresponding mean changes in the overall 24 h-MB for increasing parental practices from lowest to highest scores (- 2 to + 2 z-scores) indicated potential increases of up to 15-minutes in MVPA, 20-minutes in LPA, 5-minutes in sleep duration, and a reduction of 40-minutes in inactivity at age 5.5 years. At age 8 years, this could translate to approximately 15-minutes more of MVPA, 20-minutes more of LPA, a 20-minute reduction in sleep duration, and a 20-minute reduction in inactivity. Parental control of screen viewing contexts and neighbourhood environmental factors were not associated with 24 h-MBs.
Parental practices but not environmental factors were associated with higher MVPA and lower inactivity among Singaporean children, even at a later age. Further research may provide insights that support development of targeted public health strategies to promote healthier movement behaviours among children.
This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.
父母的育儿实践和邻里环境因素可能会影响儿童的运动行为。我们旨在调查父母育儿实践和邻里环境因素与新加坡学龄儿童使用加速度计测量的 24 小时运动行为（24 小时运动行为）之间的横断面和前瞻性关联。
新加坡成长为健康成果研究（GUSTO）研究在 5.5 岁时收集了父母育儿实践和邻里环境的信息。进行验证性因子分析以生成潜在变量，并用于计算整体父母实践[参与体育活动+支持体育活动+控制屏幕观看环境]和环境得分[积极游戏设施+积极出行促进因素+障碍*-1]。在 5.5 岁和 8 岁时，儿童在非优势手腕上佩戴加速度计连续 7 天。使用 R 包 GGIR 2.6 计算中等到剧烈强度的体育活动（MVPA）、低强度体育活动（LPA）、不活动和总睡眠时间（小睡+夜间睡眠）分钟数。使用多变量线性回归模型，在考虑潜在混杂因素的情况下，使用组成数据分析确定关联。
在 425 名儿童（48%为女孩，59%为中国人）中，较高的父母参与体育活动、父母对体育活动的支持以及整体父母实践与 5.5 岁和 8 岁时的 24 小时运动行为有关，具体表现为花在 MVPA 上的时间更多，而在其他运动行为中，不活动的时间更少。整体 24 小时运动行为的平均变化（从最低到最高得分增加 2 个 z 分数）表明，MVPA 最多可增加 15 分钟，LPA 最多可增加 20 分钟，睡眠时长增加 5 分钟，不活动时长减少 40 分钟。在 8 岁时，这可能意味着 MVPA 多 15 分钟，LPA 多 20 分钟，睡眠时间减少 20 分钟，不活动时间减少 20 分钟。父母对屏幕观看环境的控制和邻里环境因素与 24 小时运动行为无关。
在新加坡儿童中，父母的育儿实践而不是环境因素与较高的 MVPA 和较低的不活动量有关，即使在年龄较大时也是如此。进一步的研究可能会提供支持制定有针对性的公共卫生策略的见解，以促进儿童更健康的运动行为。
本研究于 2010 年 8 月 4 日注册，可在 ClinicalTrials.gov 上在线获取：NCT01174875。
