scholarly journals Older Adults and Outdoor Physical Activity Equipment: A Social Ecological Analysis

2021 ◽  
Author(s):  
Kevin Gardam ◽  
Helle Møller ◽  
Erin Pearson
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Low Socioeconomic Status ◽  
Ecological Model ◽  
Ecological Factors ◽  
Population Group ◽  
Community Members ◽  
Low Socioeconomic ◽  
Social Ecological ◽  
The Social

Outdoor adult playgrounds (OAPs) have in some cases been in socioeconomically underserved neighbourhoods to improve community members’ access to physical activity infrastructure. Older adults have been identified as one population group who could particularly benefit from OAP equipment. The purpose of this study was to explore and identify the social ecological factors that influenced older adults’ uptake of an OAP installed in a neighbourhood of low-socioeconomic status. We employed the social ecological model (SEM) using a case study design and argue that the OAP’s location may help to lower inequalities in access to physical activity infrastructure. We end this paper with a discussion into all-ages and age-friendly policy as they relate to OAPs and suggest novel ways of activating municipal parks for seniors.

Aging Expectations are Associated With Physical Activity and Health Among Older Adults of Low Socioeconomic Status

2015 ◽  
Vol 23 (2) ◽  
pp. 180-186 ◽  
Author(s):  
Shilpa Dogra ◽  
Ban Al-Sahab ◽  
James Manson ◽  
Hala Tamim
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Short Form ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Linear Regression Models ◽  
Low Socioeconomic ◽  
Aging Expectations

The purpose of the current study was to determine whether aging expectations (AE) are associated with physical activity participation and health among older adults of low socioeconomic status (SES). A cross-sectional analysis of a sample of 170 older adults (mean age 70.9 years) was conducted. Data on AE, physical activity, and health were collected using the 12 item Expectations Regarding Aging instrument, the Healthy Physical Activity Participation Questionnaire, and the Short Form-36, respectively. Adjusted linear regression models showed significant associations between AE and social functioning, energy/vitality, mental health, and self-rated general health, as well as physical activity. These results suggest that AE may help to better explain the established association between low SES, low physical activity uptake, and poor health outcomes among older adults.

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 Exploring the social-ecological factors related to physical activity participation among Black, Asian and minority ethnic immigrants

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Godi Katito ◽  
Emma Davies
Keyword(s):  
Physical Activity ◽  
Cultural Beliefs ◽  
Intervention Development ◽  
Ecological Factors ◽  
Structured Interviews ◽  
Content Type ◽  
Social Ecological ◽  
The Social ◽  
The Cost ◽  
Minority Ethnic

PurposeDespite the health benefits of physical activity (PA), participation rates Black, Asian and minority ethnic (BAME) adults in the United Kingdom (UK) are low in comparison to the general population. This study aimed to explore the social-ecological factors related to PA participation among BAME immigrants.Design/methodology/approachSemi-structured interviews were carried out with 12 purposively selected adults from the BAME populace residing in one postcode district of a city in southern England.FindingsThe three main themes that developed from this study demonstrated that the barriers to PA participation among BAME were perceived to exist at intrapersonal, and environmental (social and physical) levels.Research limitations/implicationsUnderstanding these unique social-ecological factors may assist in intervention development.Originality/valueProminent barriers included intrapersonal factors such as deportation fear and cultural beliefs; and environmental factors such as the cost of accessing PA facilities. Length of residency appeared to be related to increased PA.

Abstract P185: Investigation of Community and Home Factors in Child Physical Activity Levels

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
MIchael Graham ◽  
Vanessa Shannon ◽  
Christa Ice ◽  
Lesley Cottrell
Keyword(s):  
Physical Activity ◽  
Ecological Model ◽  
Screening Program ◽  
Self Report ◽  
Specific Information ◽  
Activity Levels ◽  
Social Ecological ◽  
The Social ◽  
Community Environments ◽  
The Relationship

It is known that physical activity (PA) behavior is influenced by many factors within the social ecological model. Using results from parent surveys distributed after their children’s completion of a cardiovascular risk screening program, we explored the relationship between home and community environments on the amount of PA in which children engaged. Our hypothesis was that more immediate factors such as parent activity would have a greater impact on child activity than factors in their community environments. A large sample (n=450) of children (ages 5-10 years) were examined. Children’s physical activity was assessed by adding the total minutes of active time weekly. Parent physical activity was measured with two self report items regarding the number of days per week they were active . Two scales were constructed to evaluate to effects of the home (9 items; α = .829) and community (16 items; α = .868). The home environment scale measured elements related to activity opportunities and home schedules; the community scale assessed presence of playgrounds, or safe sidewalks, for example. To assess associations between factors and children’s PA, we conducted a linear stepwise regression with child age, parent PA, Home scale, and Community scale as predictors and the log transformed total weekly activity time as the dependent variable. Sixteen percent of children’s PA was explained by the tested model. Figure 1 provides specific information about each variable. The home scale had the greatest weight (β=0.360, p<.001), and proved to have a larger predictive effect than parent PA. These findings are significant for identifying which aspects of a child’s surrounding to intervene for maximum impact on physical activity. Figure 1. R² Change between model levels

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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