Samuel L Battalio, Benjamin W Barrett, Ivelina I Arnaoudova, David J Press, Donald Hedeker, Angela Fidler Pfammatter, Kiarri N Kershaw, Bonnie Spring
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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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>A complex relationship was observed between residential proximity to Chicago facilities and response to multiple health behavior change intervention. 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引用次数: 0
摘要
目的评估邻里社会和建筑环境是否会调节对针对水果/蔬菜摄入量、久坐行为和体育锻炼的移动健康多重健康行为改变干预的反应：参与者为 156 名居住在芝加哥、有不健康生活方式行为的成年人。通过线性混合模型，我们评估了食品设施（快餐店和杂货店）和娱乐活动场所（健身房和公园）的使用是否调节了积极干预条件与对照条件之间的行为变化差异。利用空间数据分析（交叉 K 函数），我们还评估了达到行为目标水平的参与者（"响应者"）与未达到干预目标的参与者（"未响应者"）相比，是否更有可能居住在快餐店、杂货店、健身房或公园附近：根据线性混合模型，邻里社会和建筑环境因素都没有调节积极干预条件与对照条件之间行为改变的差异（似然比（χ²[1] = 0.02-2.33，P 值大于 0.05）。交叉 K 函数显示，饮食行为改变应答者比非应答者更有可能居住在快餐店附近，但不包括杂货店。活动行为改变的结果差异较大。久坐屏幕时间的响应者比未响应者更有可能居住在娱乐活动场所附近。中度-剧烈运动的响应者比未响应者更多和更少地聚集在公园周围，这取决于公园到参与者住所的距离：结论：观察发现，芝加哥设施的居住距离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。有必要在不同的地理环境和样本中进行复制。
The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.
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.
期刊介绍：
The Journal of Behavioral Medicine is a broadly conceived interdisciplinary publication devoted to furthering understanding of physical health and illness through the knowledge, methods, and techniques of behavioral science. A significant function of the journal is the application of this knowledge to prevention, treatment, and rehabilitation and to the promotion of health at the individual, community, and population levels.The content of the journal spans all areas of basic and applied behavioral medicine research, conducted in and informed by all related disciplines including but not limited to: psychology, medicine, the public health sciences, sociology, anthropology, health economics, nursing, and biostatistics. Topics welcomed include but are not limited to: prevention of disease and health promotion; the effects of psychological stress on physical and psychological functioning; sociocultural influences on health and illness; adherence to medical regimens; the study of health related behaviors including tobacco use, substance use, sexual behavior, physical activity, and obesity; health services research; and behavioral factors in the prevention and treatment of somatic disorders. Reports of interdisciplinary approaches to research are particularly welcomed.
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