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.

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.

scholarly journals Influences on physical activity and screen time amongst postpartum women with heightened depressive symptoms: a qualitative study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maria Apostolopoulos ◽  
Jill A. Hnatiuk ◽  
Jaimie-Lee Maple ◽  
Ellinor K. Olander ◽  
Leah Brennan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Social Factors ◽  
Screen Time ◽  
Ecological Model ◽  
Social Ecological Model ◽  
Postpartum Women ◽  
Social Ecological ◽  
The Social ◽  
Awareness Raising

Abstract Background Postpartum women are at higher risk of depression compared to the general population. Despite the mental health benefits an active lifestyle can provide, postpartum women engage in low physical activity and high screen time. Very little research has investigated the social ecological (i.e. individual, social and physical environmental) influences on physical activity and screen time amongst postpartum women, particularly amongst those with depressive symptoms. Therefore, this study sought to examine the influences on physical activity and screen time amongst postpartum women with heightened depressive symptoms. Methods 20 mothers (3–9 months postpartum) participating in the Mums on the Move pilot randomised controlled trial who reported being insufficiently active and experiencing heightened depressive symptoms participated in semi-structured telephone interviews exploring their perceptions of the key influences on their physical activity and screen time across various levels of the social ecological model. Strategies for promoting physical activity and reducing screen time were explored with participants. Thematic analyses were undertaken to construct key themes from the qualitative data. Results Findings showed that postpartum women with depressive symptoms reported individual (i.e. sleep quality, being housebound, single income), social (i.e. childcare, social support from partner and friends) and physical environmental (i.e. weather, safety in the local neighbourhood) influences on physical activity. Postpartum women reported individual (i.e. screen use out of habit and addiction, enjoyment) and social (i.e. positive role modelling, social isolation) influences on screen-time, but no key themes targeting the physical environmental influences were identified for screen time. Strategies suggested by women to increase physical activity included mother’s physical activity groups, home-based physical activity programs and awareness-raising. Strategies to reduce screen time included the use of screen time tracker apps, increasing social connections and awareness-raising. Conclusions Amongst postpartum women with heightened depressive symptoms, influences on physical activity encompassed all constructs of the social ecological model. However, screen time was only perceived to be influenced by individual and social factors. Intervention strategies targeting predominantly individual and social factors may be particularly important for this high-risk group. These findings could assist in developing targeted physical activity and screen time interventions for this cohort.

scholarly journals Factors That Influence Participation in Physical Activity in School-Aged Children and Adolescents: A Systematic Review from the Social Ecological Model Perspective

2021 ◽  
Vol 18 (6) ◽  
pp. 3147
Author(s):  
Donglin Hu ◽  
Shi Zhou ◽  
Zachary J. Crowley-McHattan ◽  
Zhiyun Liu
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Children And Adolescents ◽  
Influencing Factors ◽  
Ecological Model ◽  
Relevant Literature ◽  
Social Ecological Model ◽  
School Aged Children ◽  
Social Ecological ◽  
The Social

High prevalence of physical inactivity and obesity in children and adolescents has become a global problem. This systematic review aimed to examine the existing literature regarding the factors that influence participation in physical activity (PA) in children and adolescents with reference to the social ecological model (SEM) proposed by McLeroy et al. (1988). The SEM provides a framework under which the influencing factors are categorized into five levels: intrapersonal, interpersonal, organizational, community, and public policy. A systematic search of relevant literature published before July 2020 was conducted through Ebsco, ProQuest, PubMed Central, Scopus, and Web of Science. A total of fourteen studies met the inclusion criteria. The selected articles were all of high quality as assessed using the Mixed Methods Appraisal Tool (2018). The results indicated that gender, age, ethnicity, and self-concept were the most common influencing factors at the intrapersonal level. At the interpersonal and organization levels, supports from friends, parents, and teachers were positive predictors of students’ PA participation. Accessibility of facilities and safe neighborhoods was a crucial factor that influenced children and adolescents’ participation in PA at the community level. Future studies on the effective types of policies or practices that could successfully promote facilities’ accessibility and improve neighborhood safety are required. The outcomes of this systematic review are expected to inform practice and support the development and implementation of sound policies for the promotion of PA participation in children or adolescents from a comprehensive social ecological viewpoint.

Taking Steps Toward Health Equity Through Physical Activity

2021 ◽  
pp. 1-10
Author(s):  
NiCole R. Keith
Keyword(s):  
Physical Activity ◽  
Best Practices ◽  
Health Equity ◽  
Ecological Model ◽  
Social Ecological Model ◽  
The Past ◽  
Social Ecological ◽  
Science Models ◽  
The Social ◽  
Improve Health

Health equity will be achieved when all demographics have a fair opportunity be healthy. This essay describes the possibility of achieving health equity through physical activity. It presents the social ecological model of physical activity and describes how both microenvironmental and macroenvironmental factors influence one’s ability to participate. There is then a description of watershed moments in American history that negatively influenced the ability of certain demographics to be active today. It then describes groups participating in less physical activity when compared to others. Several public health and political science models are then suggested with specific examples of how they have been implemented in the past to improve health or physical activity. The essay ends by describing the need to build the physical activity evidence among vulnerable populations that tend to be underrepresented in research and explains best practices in engaging these populations in investigative work.

scholarly journals Testing Implementation of FFC-AL-EIT

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 342-343
Author(s):  
Barbara Resnick ◽  
Marie Boltz
Keyword(s):  
Physical Activity ◽  
Social Cognitive Theory ◽  
Assisted Living ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Ecological Model ◽  
Social Ecological Model ◽  
Social Ecological ◽  
The Social ◽  
Evidence Integration

Abstract Residents in assisted living settings engage in limited amounts of physical activity and decline functionally more rapidly than peers in nursing homes. To address the persistent functional decline and increased time spent in sedentary activity Function Focused Care was developed. Function Focused Care involves teaching caregivers to evaluate residents’ underlying functional capability and physical activity and engage them in physical activity during all care interactions. Prior research has demonstrated that implementing function focused care improves or maintains function and increases physical activity, improves mood and decreases behavioral symptoms among residents. To optimize implementation of Function Focused Care a theoretically based implementation strategy, Function Focused Care for Assisted Living Using the Evidence Integration Triangle (FFC-AL-EIT), was developed. FFC-AL-EIT combines the social ecological model, social cognitive theory and the Evidence Integration Triangle. The social ecological model includes intrapersonal, interpersonal, environmental, and policy factors that influence behavior. Social cognitive theory guides the interpersonal interactions that motivate caregivers and residents to engage in function focused care. Lastly, the Evidence Integration Triangle facilitates systemic implementation of function focused care. A total of 85 facilities from three states were randomized (FFC-AL-EIT versus Education Only) and 794 residents consented. The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) model was used to evaluate outcomes. This symposium will provide the implementation outcomes and value of the Evidence Integration Triangle, the effectiveness of FFC-AL-EIT on function and physical activity and the effectiveness on psychosocial outcomes and care interactions.

scholarly journals Conceptualizing the effects of the COVID-19 pandemic on people with opioid use disorder: an application of the social ecological model

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ethan Cowan ◽  
Maria R. Khan ◽  
Siri Shastry ◽  
E. Jennifer Edelman
Keyword(s):  
Structural Changes ◽  
Ecological Model ◽  
Disease Incidence ◽  
Opioid Use Disorder ◽  
Social Ecological Model ◽  
Physical And Mental Health ◽  
Opioid Use ◽  
Social Ecological ◽  
The Social ◽  
The Impact

AbstractThe COVID-19 pandemic has resulted in unparalleled societal disruption with wide ranging effects on individual liberties, the economy, and physical and mental health. While no social strata or population has been spared, the pandemic has posed unique and poorly characterized challenges for individuals with opioid use disorder (OUD). Given the pandemic’s broad effects, it is helpful to organize the risks posed to specific populations using theoretical models. These models can guide scientific inquiry, interventions, and public policy. Models also provide a visual image of the interplay of individual-, network-, community-, structural-, and pandemic-level factors that can lead to increased risks of infection and associated morbidity and mortality for individuals and populations. Such models are not unidirectional, in that actions of individuals, networks, communities and structural changes can also affect overall disease incidence and prevalence. In this commentary, we describe how the social ecological model (SEM) may be applied to describe the theoretical effects of the COVID-19 pandemic on individuals with opioid use disorder (OUD). This model can provide a necessary framework to systematically guide time-sensitive research and implementation of individual-, community-, and policy-level interventions to mitigate the impact of the COVID-19 pandemic on individuals with OUD.

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