↓ Skip to main content

The Influence of Rural Home and Neighborhood Environments on Healthy Eating, Physical Activity, and Weight

Overview of attention for article published in Prevention Science, February 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
165 Mendeley
Title
The Influence of Rural Home and Neighborhood Environments on Healthy Eating, Physical Activity, and Weight
Published in
Prevention Science, February 2013
DOI 10.1007/s11121-012-0349-3
Pubmed ID
Authors

Michelle C. Kegler, Deanne W. Swan, Iris Alcantara, Lynne Feldman, Karen Glanz

Abstract

Despite the recognition that environments play a role in shaping physical activity and healthy eating behaviors, relatively little research has focused on rural homes and neighborhoods as important settings for obesity prevention. This study, conducted through community-based participatory research, used a social ecological model to examine how home and neighborhood food and physical activity environments were associated with weight status among rural-dwelling adults. Data were from a cross-sectional survey of White and African American adults (n = 513) aged 40-70 years living in rural southwest Georgia. Data were analyzed using measured variable path analysis, a form of structural equation modeling. The results support a social ecological approach to obesity prevention. Physical activity had a direct effect on BMI; self-efficacy, family support for physical activity, and household inventory of physical activity equipment also had direct effects on physical activity. Neighborhood walkability had an indirect effect on physical activity through self-efficacy and family social support. Although neither fruit and vegetable intake nor fat intake had direct effects on BMI, self-efficacy and household food inventories had direct effects on dietary behavior. Perceived access to healthy foods in the neighborhood had an indirect effect on healthy eating and a direct effect on weight; neighborhood cohesion had an indirect effect on healthy eating through self-efficacy. Overall, individual factors and home environments tended to exhibit direct effects on behavior, and neighborhood variables more often exhibited an indirect effect.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 161 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 20%
Researcher 22 13%
Student > Ph. D. Student 22 13%
Student > Bachelor 16 10%
Student > Doctoral Student 15 9%
Other 31 19%
Unknown 26 16%
Readers by discipline Count As %
Social Sciences 32 19%
Medicine and Dentistry 22 13%
Nursing and Health Professions 15 9%
Psychology 13 8%
Agricultural and Biological Sciences 10 6%
Other 31 19%
Unknown 42 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from Prevention Science
#975
of 1,022 outputs
Outputs of similar age
#253,533
of 287,575 outputs
Outputs of similar age from Prevention Science
#50
of 51 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.