Abstract：
OBJECTIVE: To evaluate whether the neighborhood social and built environment moderates response to a mobile health multiple health behavior change intervention targeting fruit/vegetable intake, sedentary behavior, and physical activity.
METHODS: Participants were 156 Chicago-residing adults with unhealthy lifestyle behaviors. Using linear mixed models, we evaluated whether access to food facilities (fast food restaurants and grocery stores) and recreational activity spaces (gyms and parks) moderated the difference in behavior change between the active intervention condition relative to control. Using spatial data analysis (cross K functions), we also assessed whether participants who achieved goal levels of behaviors (\"responders\") were more or less likely than those who did not achieve intervention goals (\"non-responders\") to reside near fast food restaurants, grocery stores, gyms, or parks.
RESULTS: According to linear mixed models, none of the neighborhood social and built environment factors moderated the difference in behavior change between the active intervention condition and the control condition (Likelihood Ratio (χ²[1] = 0.02-2.33, P-values > 0.05). Cross K functions showed that diet behavior change responders were more likely than non-responders to reside near fast food restaurants, but not grocery stores. The results for activity behavior change were more variable. Sedentary screen time responders were more likely to reside around recreational activity spaces than non-responders. Moderate-vigorous physical activity responders had greater and lesser clustering than non-responders around parks, dependent upon distance from the park to participant residence.
CONCLUSIONS: A complex relationship was observed between residential proximity to Chicago facilities and response to multiple health behavior change intervention. Replication across diverse geographic settings and samples is necessary.
METHODS: Participants were 156 Chicago-residing adults with unhealthy lifestyle behaviors. Using linear mixed models, we evaluated whether access to food facilities (fast food restaurants and grocery stores) and recreational activity spaces (gyms and parks) moderated the difference in behavior change between the active intervention condition relative to control. Using spatial data analysis (cross K functions), we also assessed whether participants who achieved goal levels of behaviors (\"responders\") were more or less likely than those who did not achieve intervention goals (\"non-responders\") to reside near fast food restaurants, grocery stores, gyms, or parks.
RESULTS: According to linear mixed models, none of the neighborhood social and built environment factors moderated the difference in behavior change between the active intervention condition and the control condition (Likelihood Ratio (χ²[1] = 0.02-2.33, P-values > 0.05). Cross K functions showed that diet behavior change responders were more likely than non-responders to reside near fast food restaurants, but not grocery stores. The results for activity behavior change were more variable. Sedentary screen time responders were more likely to reside around recreational activity spaces than non-responders. Moderate-vigorous physical activity responders had greater and lesser clustering than non-responders around parks, dependent upon distance from the park to participant residence.
CONCLUSIONS: A complex relationship was observed between residential proximity to Chicago facilities and response to multiple health behavior change intervention. Replication across diverse geographic settings and samples is necessary.
摘要：
目的：评估社区社会和建筑环境是否调节了针对水果/蔬菜摄入量的移动健康多重健康行为改变干预措施的反应，久坐的行为，和身体活动。
方法：参与者是156名居住在芝加哥的成年人，他们的生活方式不健康。使用线性混合模型，我们评估了进入食品设施(快餐店和杂货店)和娱乐活动空间(健身房和公园)是否缓解了主动干预条件与对照组之间行为变化的差异.使用空间数据分析(交叉K函数)，我们还评估了达到行为目标水平的参与者（“反应者”）是否比没有达到干预目标的参与者（“无反应者”）居住在快餐店附近的可能性更大或更小，杂货店,健身房,或公园。
结果：根据线性混合模型，社区社会和建筑环境因素均未调节主动干预条件与控制条件之间的行为变化差异（似然比（χ²[1]=0.02-2.33，P值>0.05）。CrossK功能显示，饮食行为改变反应者比非反应者更有可能居住在快餐店附近，但不是杂货店。活动行为变化的结果差异更大。久坐的屏幕时间响应者比非响应者更有可能居住在娱乐活动空间周围。中等强度的体力活动响应者比公园周围的非响应者有更多和更少的聚集，取决于从公园到参与者住所的距离。
结论：观察到住宅靠近芝加哥设施与对多种健康行为改变干预措施的反应之间存在复杂的关系。跨不同地理位置和样本的复制是必要的。
方法：参与者是156名居住在芝加哥的成年人，他们的生活方式不健康。使用线性混合模型，我们评估了进入食品设施(快餐店和杂货店)和娱乐活动空间(健身房和公园)是否缓解了主动干预条件与对照组之间行为变化的差异.使用空间数据分析(交叉K函数)，我们还评估了达到行为目标水平的参与者（“反应者”）是否比没有达到干预目标的参与者（“无反应者”）居住在快餐店附近的可能性更大或更小，杂货店,健身房,或公园。
结果：根据线性混合模型，社区社会和建筑环境因素均未调节主动干预条件与控制条件之间的行为变化差异（似然比（χ²[1]=0.02-2.33，P值>0.05）。CrossK功能显示，饮食行为改变反应者比非反应者更有可能居住在快餐店附近，但不是杂货店。活动行为变化的结果差异更大。久坐的屏幕时间响应者比非响应者更有可能居住在娱乐活动空间周围。中等强度的体力活动响应者比公园周围的非响应者有更多和更少的聚集，取决于从公园到参与者住所的距离。
结论：观察到住宅靠近芝加哥设施与对多种健康行为改变干预措施的反应之间存在复杂的关系。跨不同地理位置和样本的复制是必要的。
