scholarly journals Indigenous Austalians and physical activity: using a social-ecological model to review the literature

2010 ◽  
Vol 25 (3) ◽  
pp. 498-509 ◽  
Author(s):  
A. Nelson ◽  
R. Abbott ◽  
D. Macdonald
Keyword(s):  
Physical Activity ◽  
Ecological Model ◽  
Social Ecological Model ◽  
Social Ecological

scholarly journals A Social-Ecological Analysis of Barriers to Sports and Physical Activity for Female University Students in China

2021 ◽  
Author(s):  
Min Li ◽  
Xiaozhe Qin ◽  
Dachao Zhang
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Ecological Model ◽  
Participation Rate ◽  
Social Ecological Model ◽  
Ecological Analysis ◽  
Physiological Factors ◽  
Social Ecological ◽  
Female Sports ◽  
Sports And Physical Activity

<p>Female university students’ participation rates in sports and physical activity have been low for decades in China. The purpose of this study is to identify the factors that impact female university students’ participation in sports and physical activities. This study is grounded in the theoretical underpinnings of a social-ecological model of influences on participation in sports and physical activity. The study was conducted in China and focuses on an identification of the factors that impact the participation rate of female university students aged 18 to 22. Questionnaires were distributed to 2000 female university students between the ages of 18 and 22 in 11 cities. The study yielded several interesting findings. First, female university students who infrequently participated in sports and physical activity primarily experienced strong intrapersonal barriers, whereas those who often engaged in sports and physical activity were more likely to encounter greater environmental barriers. Second, the factors examined using a social-ecological model that most affected female university students’ participation in sports and physical activity included personal physiological factors, participation and the support of people around them, site and natural environmental factors, and a lack of female sports facilities and exercise opportunities for women.</p>

The Social Ecological Model and Physical Activity Interventions for Hispanic Women With Type 2 Diabetes: A Review

2016 ◽  
Vol 28 (3) ◽  
pp. 306-314 ◽  
Author(s):  
Patricia Davern Soderlund
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Ecological Model ◽  
Hispanic Women ◽  
Social Ecological Model ◽  
Intervention Strategies ◽  
Social Ecological ◽  
The Social ◽  
Social Environmental

Hispanic women are less physically active and have higher rates of type 2 diabetes (DM2) when compared with other population groups. This review uses the social ecological model as a framework to identify the individual and social environmental factors associated with successful physical activity (PA) interventions for Hispanic women with DM2. Research questions include (a) Which social ecological levels have been applied to PA interventions? (b) Which individual and social environmental intervention strategies are associated with successful PA outcomes? Database searches using CINAHL, PubMed, and Scopus for the years 2000 to 2015 identified 10 studies; with 6 using quasi-experimental study designs and 4 using randomized controlled designs. Inclusion criteria were Hispanic/Latina women with DM2, ≥70% women, PA interventions, measures of PA, and quantitative designs. Future research should focus on a combination of intervention levels, and DM2 programs should place a greater emphasis on PA intervention strategies.

Developing a Social-Ecological Model for Promoting Physical Activity Among Older Adults Based on the Experiences of 50+ Adults

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110329
Author(s):  
Peeter Lusmägi ◽  
Kadri Aavik
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Focus Group ◽  
Ecological Model ◽  
Social Ecological Model ◽  
Older Age ◽  
Focus Group Interviews ◽  
Social Ecological ◽  
Group Interviews ◽  
Definition Of

Various programs have been developed in different countries to encourage physical activity (PA) of older adults; however, older adults themselves have rarely been included in the development of such interventions. This article explores the meanings that people aged 50 years and above attribute to PA and their own engagement in PA, in the framework of a social-ecological model (SEM). In particular, we focus on the motivations and barriers they identified to their PA. We draw on focus group interviews with 44 older adults between the ages of 50 and 80 years, based in Estonia. Our findings suggest that it is important to use an expanded definition of PA (in older age), to include the diverse and perhaps unexpected ways in which people use their bodies and keep fit in different contexts. Based on our findings, we offer developments to existing versions of the SEM, highlighting the interconnectedness of all of its levels and propose ways to encourage PA of older adults.

scholarly journals The relative contribution of layers of the Social Ecological Model to childhood obesity

2014 ◽  
Vol 18 (11) ◽  
pp. 2055-2066 ◽  
Author(s):  
Punam Ohri-Vachaspati ◽  
Derek DeLia ◽  
Robin S DeWeese ◽  
Noe C Crespo ◽  
Michael Todd ◽  
...  
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Low Income ◽  
Weight Status ◽  
Ecological Model ◽  
Parental Perceptions ◽  
Social Ecological Model ◽  
Relative Contribution ◽  
Social Ecological ◽  
The Social

AbstractObjectiveThe Social Ecological Model (SEM) has been used to describe the aetiology of childhood obesity and to develop a framework for prevention. The current paper applies the SEM to data collected at multiple levels, representing different layers of the SEM, and examines the unique and relative contribution of each layer to children’s weight status.DesignCross-sectional survey of randomly selected households with children living in low-income diverse communities.SettingA telephone survey conducted in 2009–2010 collected information on parental perceptions of their neighbourhoods, and household, parent and child demographic characteristics. Parents provided measured height and weight data for their children. Geocoded data were used to calculate proximity of a child’s residence to food and physical activity outlets.SubjectsAnalysis based on 560 children whose parents participated in the survey and provided measured heights and weights.ResultsMultiple logistic regression models were estimated to determine the joint contribution of elements within each layer of the SEM as well as the relative contribution of each layer. Layers of the SEM representing parental perceptions of their neighbourhoods, parent demographics and neighbourhood characteristics made the strongest contributions to predicting whether a child was overweight or obese. Layers of the SEM representing food and physical activity environments made smaller, but still significant, contributions to predicting children’s weight status.ConclusionsThe approach used herein supports using the SEM for predicting child weight status and uncovers some of the most promising domains and strategies for childhood obesity prevention that can be used for designing interventions.

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