scholarly journals An Extended Theory of Planned Behavior Intervention for Older Adults With Type 2 Diabetes and Cardiovascular Disease

2012 ◽  
Vol 20 (3) ◽  
pp. 281-299 ◽  
Author(s):  
Katherine M. White ◽  
Deborah J. Terry ◽  
Carolyn Troup ◽  
Lynn A. Rempel ◽  
Paul Norman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Older Adults ◽  
Theory Of Planned Behavior ◽  
Healthy Eating ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Perceived Behavioral Control

A randomized controlled trial evaluated the effectiveness of a 4-wk extended theory of planned behavior (TPB) intervention to promote regular physical activity and healthy eating among older adults diagnosed with Type 2 diabetes or cardiovascular disease (N= 183). Participants completed TPB measures of attitude, subjective norm, perceived behavioral control, and intention, as well as planning and behavior, at preintervention and 1 wk and 6 wk postintervention for each behavior. No significant time-by-condition effects emerged for healthy eating. For physical activity, significant time-by-condition effects were found for behavior, intention, planning, perceived behavioral control, and subjective norm. In particular, compared with control participants, the intervention group showed short-term improvements in physical activity and planning, with further analyses indicating that the effect of the intervention on behavior was mediated by planning. The results indicate that TPB-based interventions including planning strategies may encourage physical activity among older people with diabetes and cardiovascular disease.

The Theory of Planned Behavior and Physical Activity Change: Outcomes of the Aging Well and Healthily Intervention Program for Older Adults

2017 ◽  
Vol 25 (3) ◽  
pp. 438-445 ◽  
Author(s):  
Elske Stolte ◽  
Marijke Hopman-Rock ◽  
Marja J. Aartsen ◽  
Theo G. van Tilburg ◽  
Astrid Chorus
Keyword(s):  
Physical Activity ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Structural Equation ◽  
Intervention Program ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Aging Well

The predictive value of the Theory of Planned Behavior (TPB) on intention and physical activity (PA) over time was examined. Data from the Aging Well and Healthily intervention program (targeting perceived behavioral control and attitude, not subjective norm) were analyzed, including pretest (T0), posttest (T1, except subjective norm) and 4–6 months follow-up (T2, PA outcomes only) (N = 387, M age 72 years). Structural equation modeling was used to test a TPB model. PA was measured subjectively using the Voorrips sports subscale (T0 and T2), items measured perceived increase in PA (T1), and adherence to exercises (T1 and T2). Model fit was good. The TPB explained variation in intention well (R2 .54–.60) and some PA behavior (R2 .13–.16). The intervention successfully got participants to exercise independent of the measured TPB concepts. More TPB studies in the context of interventions are needed.

Working with Older Adults Scale: Application of the Theory of Planned Behavior

2019 ◽  
Vol 60 (6) ◽  
pp. e428-e437
Author(s):  
Kirsten L Graham ◽  
Lee A Rosén
Keyword(s):  
Older Adults ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Behavioral Control ◽  
The United States ◽  
Subjective Norm ◽  
Perceived Behavioral Control ◽  
Student Sample ◽  
Service Gap ◽  
The Impact

Abstract Background and Objectives The expanding population of older adults in the United States, coupled with provider hesitance to work with this population, is expected to result in a large service gap, particularly in the health care field. Research on provider hesitancy has largely focused on the impact of attitudes toward older adults and professional competency, with some recent explorations of social influences. There is currently no comprehensive measure that includes all of these areas. Research Design and Methods The present study outlines the development of the Working with Older Adults Scale (WOAS), which is grounded in the theory of planned behavior as applied to working with older adults. The WOAS is composed of 20 items, rated on a 7-point Likert scale, that make up four subscales: (i) Attitude, (ii) Subjective Norm, (iii) Perceived Behavioral Control, and (iv) Intention. Results Results indicated that, for the young adult college student sample it was developed with, the measure has an excellent factor structure and good internal reliability and construct validity. Consistent with the theory of planned behavior model, intention to work with older adults was significantly predicted by attitudes, subjective norm, and perceived behavioral control. Subjective norm accounted for the greatest amount of variance. Further analyses revealed differential effects of age, gender, and experience on the WOAS subscales. Discussion and Implications The WOAS, and underlying theory, offers new insights and ideas for future exploration of the service gap between older adults’ needs and professional availability across health service fields.

Testing the Efficacy of the Theory of Planned Behavior to Explain Strength Training in Older Adults

2007 ◽  
Vol 15 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Rachel N. Dean ◽  
Jocelyn M. Farrell ◽  
Mary Lou Kelley ◽  
M. Jane Taylor ◽  
Ryan E. Rhodes
Keyword(s):  
Older Adults ◽  
Theory Of Planned Behavior ◽  
Strength Training ◽  
Planned Behavior ◽  
Perceived Control ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Current Strength ◽  
Perceived Behavioral Control ◽  
The Relationship

The purpose of this study was to use the constructs of the theory of planned behavior (TPB) to gain a better understanding of the factors influencing older adults’ participation in strength training. Two hundred men and women age 55 years and older were purposely sampled from seniors’ centers in Ontario Canada. Participants completed a TPB questionnaire and reported their current physical activity participation. It was hypothesized that perceived behavioral control followed by attitude would be the strongest determinants of strength-training intentions and that intention would be the strongest determinant of strength-training behavior. Regression analyses revealed that subjective norm and perceived behavioral control explained 42% of the variance in intention and intention explained 40% of the variance in behavior. Gender and current strength-training participation did not significantly moderate the relationship between the TPB variables. The results suggest that interventions targeting subjective norm and perceived control might be helpful in promoting strength-training behavior among older adults.

scholarly journals Testing a Model of Physical Activity Among Mothers and Fathers of Young Children: Integrating Self-Determined Motivation, Planning, and the Theory of Planned Behavior

2012 ◽  
Vol 34 (1) ◽  
pp. 124-145 ◽  
Author(s):  
Kyra Hamilton ◽  
Stephen Cox ◽  
Katherine M. White
Keyword(s):  
Physical Activity ◽  
Decision Making ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Perceived Behavioral Control ◽  
Mothers And Fathers ◽  
Parental Physical Activity

Parents are at risk for inactivity; however, research into understanding parental physical activity (PA) is scarce. We integrated self-determined motivation, planning, and the theory of planned behavior (TPB) to better understand parental PA. Parents (252 mothers, 206 fathers) completed a main questionnaire assessing measures underpinning these constructs and a 1-week follow-up of PA behavior to examine whether self-determined motivation indirectly influenced intention via the TPB variables (i.e., attitude, subjective norm, and perceived behavioral control) and intention indirectly influenced behavior via planning. We found self-determined motivation on intention was fully mediated by the TPB variables and intention on behavior was partially mediated by the planning variables. In addition, slight differences in the model’s paths between the sexes were revealed. The results illustrate the range of important determinants of parental PA and provide support for the integrated model in explaining PA decision making as well as the importance of examining sex differences.

scholarly journals Determinants of Physical Activity in Older Adults: Integrating Self-Concordance into the Theory of Planned Behavior

2021 ◽  
Vol 18 (11) ◽  
pp. 5759
Author(s):  
Paula Stehr ◽  
Constanze Rossmann ◽  
Tabea Kremer ◽  
Johanna Geppert
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Structural Equation ◽  
Behavioral Control ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Combined Model ◽  
Physically Active

Based on the theory of planned behavior (TPB), augmented by the concept of self-concordance (derived from self-determination theory, SDT), we conducted a study to identify the key determinants of physical activity in older adults. We applied structural equation modeling of telephone survey data from a random sample of adults aged 65 years and older living in Germany (N = 865). Relations of attitude, subjective norms, and perceived behavioral control (PBC) with intention strength and self-concordance of intention to be physically active were tested. Habit strength was analyzed as a moderator. Data analysis showed this model to be well-suited for explaining the intention to be physically active—especially for people with a weak habit. The influence of TPB components on intention would have been underestimated if we had investigated intention strength only, without considering the self-concordance of intention. While attitude and PBC had positive relations with a strong and self-determined intention, the subjective norm showed no relation with intention strength but, rather, with non-self-determined regulation forms. We conclude that the combined model provides a better theoretical foundation from which to explain physical activity intentions than does just one of the theories.

Physical activity less than the recommended amount may prevent the onset of major biological risk factors for cardiovascular disease: a cohort study of 198 919 adults

2018 ◽  
Vol 54 (4) ◽  
pp. 238-244 ◽  
Author(s):  
David Martinez-Gomez ◽  
Irene Esteban-Cornejo ◽  
Esther Lopez-Garcia ◽  
Esther García-Esquinas ◽  
Kabir P Sadarangani ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Highly Active ◽  
Atherogenic Dyslipidaemia

ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.

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