Emory University.
University of Pittsburgh.
Behav Med. 2024 Jul-Sep;50(3):232-241. doi: 10.1080/08964289.2023.2238102. Epub 2023 Jul 25.
Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access to parks or low walkability) may limit one's ability to respond to FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of FB on PA, and residents of high walkability neighborhoods will achieve higher PA levels at 12 months than those in low walkability neighborhoods. The study is a secondary analysis of a 12-month behavioral weight-loss trial. Adults with overweight/obesity were randomized to SM + FB ( = 251) or SM alone ( = 251). SM + FB group received smartphone pop-up messages thrice/week tailored to their PA SM data. The assessment included neighborhood walkability Walk Score (low [<50] high [≥50]), moderate to vigorous PA (MVPA) and step count Fitbit Charge 2™, and weight smart scale. We report adjusted linear regression coefficients (b) with standard errors (SE). The analysis included participants who were primarily white, female, and with obesity. In adjusted models, neighborhood walkability did not moderate the effect of treatment assignment on log-transformed (ln) MVPA or steps count over 12 months. The SM + FB group had greater lnMVPA than the SM group, but lnMVPA and steps were similar between walkability groups. There were no significant interactions for group and time or group, time, and walkability. These findings suggest that adding FB to SM had a small but significant positive impact on PA over 12 months, but neighborhood walkability did not moderate the treatment effect of FB on PA.
添加反馈信息(FB)到自我监测(SM)中可能会加强行为改变。然而,社会环境条件(例如,有限的公园访问或低步行性)可能会限制人们对专注于体力活动(PA)的 FB 的反应能力。在这项分析中,我们假设高邻里步行性将积极修改 FB 对 PA 的治疗效果,并且高步行性社区的居民将在 12 个月时达到比低步行性社区更高的 PA 水平。该研究是一项为期 12 个月的行为性减肥试验的二次分析。超重/肥胖的成年人被随机分配到 SM+FB(=251)或 SM 单独组(=251)。SM+FB 组每周收到三次针对其 PA SM 数据的智能手机弹出消息。评估包括邻里步行性 Walk Score(低[<50]高[≥50])、中等至剧烈体力活动(MVPA)和步数计数 Fitbit Charge 2™以及体重智能秤。我们报告了经过调整的线性回归系数(b)及其标准误差(SE)。分析包括主要为白人、女性和肥胖的参与者。在调整后的模型中,邻里步行性并没有调节治疗分配对 12 个月内 log 转换(ln)MVPA 或步数计数的影响。SM+FB 组的 lnMVPA 大于 SM 组,但在步行性组之间 lnMVPA 和步数相似。组和时间或组、时间和步行性之间没有显著的交互作用。这些发现表明,在 12 个月内,将 FB 添加到 SM 中对 PA 有较小但显著的积极影响,但邻里步行性并没有调节 FB 对 PA 的治疗效果。