Samuel L Battalio, Benjamin W Barrett, Ivelina I Arnaoudova, David J Press, Donald Hedeker, Angela Fidler Pfammatter, Kiarri N Kershaw, Bonnie Spring
{"title":"The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.","authors":"Samuel L Battalio, Benjamin W Barrett, Ivelina I Arnaoudova, David J Press, Donald Hedeker, Angela Fidler Pfammatter, Kiarri N Kershaw, Bonnie Spring","doi":"10.1007/s10865-024-00505-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</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. Replication across diverse geographic settings and samples is necessary.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Medicine","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10865-024-00505-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/7 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
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.
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.