scholarly journals Testing Implementation of FFC-AL-EIT

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 342-343
Author(s):  
Barbara Resnick ◽  
Marie Boltz

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.

2016 ◽  
Vol 28 (3) ◽  
pp. 306-314 ◽  
Author(s):  
Patricia Davern Soderlund

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.


1990 ◽  
Vol 12 (4) ◽  
pp. 388-405 ◽  
Author(s):  
David A. Dzewaltowski ◽  
John M. Noble ◽  
Jeff M. Shaw

Social cognitive theory and the theories of reasoned action and planned behavior were examined in the prediction of 4 weeks of physical activity participation. The theories of reasoned action and planned behavior were supported. Attitude and perceived control predicted intention, and intention predicted physical activity participation. The social cognitive theory variables significantly predicted physical activity participation, with self-efficacy and self-evaluation of the behavior significantly contributing to the prediction. The greater the confidence in participating in physical activity and the greater the satisfaction with present physical activity, the more physical activity performed. Hierarchical regression analyses indicated that perceived control and intentions did not account for any unique variation in physical activity participation over self-efficacy. Therefore the social cognitive theory constructs were better predictors of physical activity than those from the theories of reasoned action and planned behavior.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 115-115
Author(s):  
Myriam Dagher ◽  
Tamar Kabakian-Khasholian ◽  
Lara Nasreddine ◽  
Lamis Jomaa

Abstract Objectives To explore the perspectives and experiences of children and their mothers towards healthy eating habits and regular physical activity in Lebanon and to identify potential strategies that can be recommended for future interventions to promote healthy lifestyles among children. Methods Qualitative research methodology and the social cognitive theory were used. Focus group discussions and in-depth interviews were conducted with children (aged 10–11 years) and their mothers, respectively, from two private and one public schools in Beirut, Lebanon. Thematic inductive analytical approach was adopted. Results A total of six FGDs and 11 in-depth interviews with mothers were conducted from February till November 2020. Four main overarching themes emerged. Theme 1 pertained to the different views of children and mothers regarding the meaning of healthy eating and physical activity and their perceived impact on children's wellbeing. Theme 2 revealed a set of intrapersonal, social, and environmental determinants, which were reported differently between children and their mothers. Participants in our study who were interviewed after the COVID-19 pandemic talked about how their eating habits were adversely affected as a result of the sudden changes in daily schedules, boredom and anxiety. Theme 3 reflected the role of schools and sports facilities in setting a good example for children's healthy eating and active behaviors. Theme 4 revolved around participants’ suggestions to receive support for healthy eating and lifestyle habits at multiple levels, including intrapersonal, family/social, community, and policy-level strategies. Our findings highlight the importance of using theory-driven interventions, such as the social cognitive theory, to improve long-term health behaviors. Conclusions Findings highlight the multiple influences that pertain to children's eating and activity habits and shed light on the need to use child- and parental-driven strategies in the planning and development of programs to promote children's health and wellbeing. Funding Sources This study was partially funded by the Department of Nutrition and Food Sciences at the American University of Beirut.


2014 ◽  
Vol 18 (11) ◽  
pp. 2055-2066 ◽  
Author(s):  
Punam Ohri-Vachaspati ◽  
Derek DeLia ◽  
Robin S DeWeese ◽  
Noe C Crespo ◽  
Michael Todd ◽  
...  

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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