Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN 55454, USA.
Int J Behav Nutr Phys Act. 2012 Feb 6;9:8. doi: 10.1186/1479-5868-9-8.
To examine how factors from a social ecologic model predict physical activity (PA) among adolescents using a longitudinal analysis.
Participants in this longitudinal study were adolescents (ages 10-16 at baseline) and one parent enrolled in the Transdisciplinary Research on Energetics and Cancer-Identifying Determinants of Eating and Activity (TREC-IDEA) and the Etiology of Childhood Obesity (ECHO). Both studies were designed to assess a socio-ecologic model of adolescent obesity risk. PA was collected using ActiGraph activity monitors at two time points 24 months apart. Other measures included objective height and weight, adolescent and parent questionnaires on multilevel psychological, behavioral and social determinants of PA, and a home PA equipment inventory. Analysis was conducted using SAS, including descriptive characteristics, bivariate and stepped multivariate mixed models, using baseline adjustment. Models were stratified by gender.
There were 578 adolescents with complete data. Results suggest few statistically significant longitudinal associations with physical activity measured as minutes of MVPA or total counts from accelerometers. For boys, greater self-efficacy (B = 0.75, p = 0.01) and baseline MVPA (B = 0.55, p < 0.01) remained significantly associated with MVPA at follow-up. A similar pattern was observed for total counts. For girls, baseline MVPA (B = 0.58, p = 0.01) and barriers (B = -0.32, p = 0.05) significantly predicted MVPA at follow-up in the full model. The full multilevel model explained 30% of the variance in PA among boys and 24% among girls.
PA change in adolescents is a complex issue that is not easily understood. Our findings suggest early PA habits are the most important predictor of PA levels in adolescence. Intervention may be necessary prior to middle school to maintain PA through adolescence.
本研究旨在通过纵向分析,探讨社会生态学模型中的因素如何预测青少年的身体活动(PA)。
本纵向研究的参与者为青少年(基线时年龄为 10-16 岁)及其一名家长,他们同时参与了跨学科研究能量学和癌症-确定饮食和活动的决定因素(TREC-IDEA)以及儿童肥胖病因学(ECHO)。这两项研究旨在评估青少年肥胖风险的社会生态学模型。PA 使用 ActiGraph 活动监测器在相隔 24 个月的两个时间点收集。其他措施包括客观身高和体重、青少年和家长关于 PA 的多层次心理、行为和社会决定因素的问卷,以及家庭 PA 设备清单。使用 SAS 进行分析,包括描述性特征、双变量和逐步多变量混合模型,使用基线调整。模型按性别分层。
共有 578 名青少年具有完整数据。结果表明,与使用加速度计测量的 MVPA 分钟数或总计数相比,很少有统计学上显著的纵向关联与身体活动相关。对于男孩,自我效能感(B = 0.75,p = 0.01)和基线 MVPA(B = 0.55,p < 0.01)在随访时仍与 MVPA 显著相关。总计数也观察到类似的模式。对于女孩,基线 MVPA(B = 0.58,p = 0.01)和障碍(B = -0.32,p = 0.05)在全模型中显著预测了随访时的 MVPA。全多层次模型解释了男孩 PA 变化的 30%和女孩 PA 变化的 24%。
青少年的 PA 变化是一个复杂的问题,不容易理解。我们的研究结果表明,早期的 PA 习惯是青少年 PA 水平的最重要预测因素。为了在整个青春期保持 PA,可能需要在中学之前进行干预。