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The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.

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Title: The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.
Authors: Battalio, Samuel L., Barrett, Benjamin W., Arnaoudova, Ivelina I., Press, David J., Hedeker, Donald, Pfammatter, Angela Fidler, Kershaw, Kiarri N., Spring, Bonnie
Source: Journal of Behavioral Medicine. Dec2024, Vol. 47 Issue 6, p965-979. 15p.
Subjects: Fruit, Food consumption, Recreation, Research funding, Sedentary lifestyles, Physical fitness centers, Behavior, Screen time, Telemedicine, Health behavior, Vegetables, Neighborhood characteristics, Built environment, Physical activity
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Behavioral+Medicine%22">Journal of Behavioral Medicine</searchLink>. Dec2024, Vol. 47 Issue 6, p965-979. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Fruit%22">Fruit</searchLink><br /><searchLink fieldCode="DE" term="%22Food+consumption%22">Food consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Recreation%22">Recreation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Sedentary+lifestyles%22">Sedentary lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness+centers%22">Physical fitness centers</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior%22">Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Screen+time%22">Screen time</searchLink><br /><searchLink fieldCode="DE" term="%22Telemedicine%22">Telemedicine</searchLink><br /><searchLink fieldCode="DE" term="%22Health+behavior%22">Health behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetables%22">Vegetables</searchLink><br /><searchLink fieldCode="DE" term="%22Neighborhood+characteristics%22">Neighborhood characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Built+environment%22">Built environment</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+activity%22">Physical activity</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=180457647
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10865-024-00505-2
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 965
    Subjects:
      – SubjectFull: Fruit
        Type: general
      – SubjectFull: Food consumption
        Type: general
      – SubjectFull: Recreation
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Sedentary lifestyles
        Type: general
      – SubjectFull: Physical fitness centers
        Type: general
      – SubjectFull: Behavior
        Type: general
      – SubjectFull: Screen time
        Type: general
      – SubjectFull: Telemedicine
        Type: general
      – SubjectFull: Health behavior
        Type: general
      – SubjectFull: Vegetables
        Type: general
      – SubjectFull: Neighborhood characteristics
        Type: general
      – SubjectFull: Built environment
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      – SubjectFull: Physical activity
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      – TitleFull: The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.
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              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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