Factors in Women’s Maintenance of Vigorous or Moderate Physical Activity

2003 ◽  
Vol 12 (1) ◽  
pp. 87-111 ◽  
Author(s):  
Marie Dacey ◽  
Amy Baltzell ◽  
Len Zaichkowsky

Strategies for exercise maintenance of vigorous (n=54) and moderate (n=38) regular women exercisers were compared using the Processes of Change (Marcus, Rossi et al., 1992) and Self-Efficacy scales (Marcus, Selby et al., 1992). Both groups reported highest utilization of Counterconditioning, Self-liberation, Self-reevaluation, and Reinforcement Management, as well as a high degree of exercise self-efficacy. Vigorous exercisers indicated greater utilization of Counterconditioning (p=.004) and a higher degree of self-efficacy (p=.009), whereas moderate exercisers reported higher utilization of Environmental Reevaluation (p=.028). In follow-up interviews with vigorous exercisers (n=4) and moderate exercisers (n=4), all participants reported psychological benefits of physical activity, high exercise self-efficacy, and exercising to meet personal needs. Reported differences between the two groups include physical experiences while exercising, the development of exercise behavior patterns, and social influences. Based upon this study we suggest that similarities outweigh differences in the maintenance of vigorous and moderate exercise, but certain mode-specific interventions may be warranted to enhance adherence.

Author(s):  
Matthew Plow ◽  
Robert W Motl ◽  
Marcia Finlayson ◽  
Francois Bethoux

Abstract Background People with multiple sclerosis (MS) often experience fatigue, which is aggravated by inactivity. Identifying mediators of changes in physical activity (PA) and fatigue self-management (FSM) behaviors could optimize future interventions that reduce the impact of MS fatigue. Purpose To examine the effects of telephone-delivered interventions on Social Cognitive Theory constructs and test whether these constructs mediated secondary outcomes of PA and FSM behaviors. Methods Participants with MS (n = 208; Mean age = 52.1; Female = 84.6%) were randomized into contact–control intervention (CC), PA-only intervention, and PA+FSM intervention. Step count (Actigraphy) and FSM behaviors as well as self-efficacy, outcome expectations, and goal setting for PA and FSM were measured at baseline, post-test (12 weeks), and follow-up (24 weeks). Path analyses using bias-corrected bootstrapped 95% confidence intervals (CI) determined whether constructs at post-test mediated behaviors at follow-up when adjusting for baseline measures. Results Path analysis indicated that PA-only (β = 0.50, p < .001) and PA+FSM interventions (β = 0.42, p < .010) had an effect on goal setting for PA, and that PA + FSM intervention had an effect on self-efficacy for FSM (β = 0.48, p = .011) and outcome expectations for FSM (β = 0.42, p = .029). Goal setting for PA at post-test mediated the effects of PA-only (β = 159.45, CI = 5.399, 371.996) and PA + FSM interventions (β = 133.17, CI = 3.104, 355.349) on step count at follow-up. Outcome expectations for FSM at post-test mediated the effects of PA + FSM intervention on FSM behaviors at follow-up (β = 0.02, CI = 0.001, 0.058). Conclusions Goal setting for PA and outcome expectations for FSM may be important constructs to target in telephone-delivered interventions designed to reduce the impact of MS fatigue. Trial registration Clinicaltrials.gov (NCT01572714)


1992 ◽  
Vol 74 (2) ◽  
pp. 555-560 ◽  
Author(s):  
Stella W. Brown ◽  
M. Cay Welsh ◽  
Elise E. Labbé ◽  
William F. Vitulli ◽  
Pandu Kulkarni

A small group of psychiatrically institutionalized adolescents (16 boys, 11 girls) were assigned to a three-day-per-week running/aerobic exercise program or a regular physical activity class. The complete program continued over 9 weeks, with 11 subjects remaining throughout the program. Dependent measures of body-mass index, timed performance on a one-mile run, resting, exercise, and recovery heart rates, and measures of depression, mood-states, and self-efficacy were assessed pre-, mid-, and post-9-wk. treatment and at a 4-wk. follow-up. Improvements in depression, anxiety, hostility, confused thinking, and fatigue were shown in treated girls, with increases in vigor and self-efficacy for all treated subjects.


1992 ◽  
Vol 14 (4) ◽  
pp. 352-360 ◽  
Author(s):  
Kim Poag ◽  
Edward McAuley

Whereas the success of goal setting is well documented in the industrial-organizational literature (Locke & Latham, 1990), the empirical efforts to determine its effectiveness in sport settings have met with minimal success, and no studies exist that document the role played by goals in successful adherence to exercise regimens. We examined the relationships among goals, efficacy, and exercise behavior in the context of community conditioning classes. Female participants' goal efficacy was predictive of perceived goal achievement at the end of the program, and exercise self-efficacy was significantly related to subsequent intensity but not frequency of exercise participation. Moreover, a proposed interaction between exercise importance and self-efficacy failed to account for further variation in physical activity participation. The results are discussed in terms of the physical activity history of the sample and the roles played by goals and efficacy at diverse stages of the exercise process.


2007 ◽  
Vol 15 (1) ◽  
pp. 103-118 ◽  
Author(s):  
Corjena Cheung ◽  
Jean Wyman ◽  
Cynthia Gross ◽  
Jennifer Peters ◽  
Mary Findorff ◽  
...  

The transtheoretical model (TTM) was developed as a guide for understanding behavior change. Little attention has been given, however, to the appropriateness of the TTM for explaining the adoption of exercise behavior in older adults. The purposes of this study were to determine the reliability of the TTM instruments and validate TTM predictions in 86 community-dwelling older adults (mean age 75.1 ± 7.0 years, 87% women) who were participants in a 16-week walking program. TTM construct scales—self-efficacy, decisional balance (pros and cons), and processes of change (behavioral and cognitive)—were generally reliable (all α > .78). Behavioral processes of change increased from baseline to follow-up, but pros, cons, and cognitive processes did not change among participants who became regular exercisers. Stage of change did not predict exercise adoption, but baseline self-efficacy predicted walking behavior. These results lend partial support to the TTM in predicting exercise behavior.


2006 ◽  
Vol 23 (1) ◽  
pp. 49-64 ◽  
Author(s):  
Maria Kosma ◽  
Rebecca Ellis Gardner ◽  
Bradley J. Cardinal ◽  
Jeremy J. Bauer ◽  
Jeffrey A. McCubbin

A high proportion of individuals with disabilities remain physically inactive. Therefore, this study (web-based survey) investigated the relationships between the Transtheoretical Model (TTM) and physical activity among 224 adults with physical disabilities (M age = 45.4 years, SD = 10.78, females = 71%). Additionally, the most important TTM predictors of the stages of change and physical activity were examined. Standardized self-report scales of the TTM constructs and physical activity were completed. The study findings supported the theorized relationships between the TTM constructs and physical activity. The behavioral and cognitive processes of change distinguished the stages of change. These two constructs and self-efficacy mostly predicted physical activity (R2total = .18). The assessment methodology of the TTM constructs needs to be revisited.


Author(s):  
Georgia Maggouritsa ◽  
Dimitrios Kokaridas ◽  
Konstantinos Bonotis

The purpose of this study is to provide a short report concerning token economy system application in psychiatry units and connect this approach with physical activity programming, as an effective way to promote psychological benefits, skills and exercise behavior of patients with schizophrenia. Conclusions: Token economy combined with physical activity can be a useful non-pharmaceutical approach that helps patients with schizophrenia to improve psychological aspects and quality of life. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0798/a.php" alt="Hit counter" /></p>


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 859-859
Author(s):  
Candace Brown

Abstract The benefits of physical activity (PA) are well-established and it is recommended that older adults achieve at least 150 to 300 minutes of moderate intensity PA and strengthening activities weekly. However, only 54.0% and 23.2% of older adults achieve these recommendations for endurance and strengthening (respectively), and 48% dropout within the first 6-months. Most PA research focuses on the 6-month initiation phase leaving a gap regarding long-term adherence. We explored predictors of long-term adherence (&gt;2-years) to PA from 97participants at 6-month follow-up and yearly surveys. Variables examined included age, race, gender, body mass index (BMI), and self-reported comorbidities, symptoms, physical function, and barrier-specific self-efficacy scale (α-level 0.05). Lower BMI (29.1±5.1 versus 31.6±6.5, p=0.047) and higher self-efficacy to overcome environmental barriers (p=0.016) and social isolation (p=0.05) were associated with long-term adherence. Self-efficacy to overcome environmental and social barriers should be addressed to promote long-term adherence to exercise among older adults


2017 ◽  
Vol 29 (4) ◽  
pp. 259-267 ◽  
Author(s):  
Yen-Huai Lin ◽  
Po-Wen Ku ◽  
Pesus Chou

The associations of modifiable lifestyle-related factors with cardiovascular and all-cause mortality were examined in a population-based sample of older Taiwanese people. A total of 4176 individuals aged 50 years and older, with 11 years of follow-up, were analyzed. Current and former smokers had a higher risk of all-cause mortality compared with never smokers ([HR = 1.33; 95% CI = 1.12, 1.58], [HR = 1.39; 95% CI = 1.16, 1.68]). Low intake of vegetables and fruits was associated with a significantly higher risk of 1.43 (95% CI = 1.13, 1.81) for cardiovascular mortality and 1.22 (95% CI = 1.09, 1.38) for all-cause mortality. The low physical activity group at baseline who became part of the low, moderate, and high physical activity groups during follow-up had the following risks of cardiovascular mortality: ([HR = 2.89; 95% CI = 1.91, 4.36], [HR = 2.17; 95% CI = 1.29, 3.63], [HR = 1.59; 95% CI = 0.90, 2.82]). Similarly, the moderate physical activity group at baseline who became part of the low, moderate, and high physical activity groups during follow-up had the following risks of cardiovascular mortality: ([HR = 3.52; 95% CI = 2.14, 5.80], [HR = 2.25; 95% CI = 1.34, 3.80], [HR = 1.44; 95% CI = 0.78, 2.66]). The same tendencies were found in all-cause mortality. Smoking, diet, and physical activity were significantly modifiable lifestyle-related factors for mortality.Besides, individuals who decreased their physical activity had a significantly higher risk, whereas those who increased their physical activity had a significantly lower risk.


2014 ◽  
Vol 11 (2) ◽  
pp. 256-265 ◽  
Author(s):  
Meghan Baruth ◽  
Sara Wilcox

Background:Understanding who is most and least likely to remain active after the completion of physical activity (PA) interventions can assist in developing more targeted and effective programs to enhance prolonged behavior change. The purpose of this study was to examine predictors of meeting PA recommendations 6 months postintervention in participants enrolled in Active for Life.Methods:Participants from 2 behavioral PA programs [158 Active Choices (AC); 1025 Active Living Every Day (ALED)] completed surveys 6 months after completion of the active intervention. Analyses examined predictors of meeting PA recommendations at follow-up.Results:The following were significant predictors: In ALED: self-report health status, satisfaction with body function, and self-efficacy at baseline; PA status at posttest; changes in self-efficacy, perceived stress, and satisfaction with body function and appearance from baseline to posttest. In AC: PA status at posttest.Conclusions:The ultimate goal of health promotion programs is to teach the behavioral skills necessary to sustain behavior change once an active intervention is complete. The findings from this study suggest that predicting PA behavior after cessation of PA interventions may not be straightforward, and predictor variables may operate differently in different intervention approaches.


Stroke ◽  
2019 ◽  
Vol 50 (12) ◽  
pp. 3553-3560 ◽  
Author(s):  
Roderick Wondergem ◽  
Cindy Veenhof ◽  
Eveline M.J. Wouters ◽  
Rob A. de Bie ◽  
Johanna M.A. Visser-Meily ◽  
...  

Background and Purpose— Movement behaviors, that is, both physical activity and sedentary behavior, are independently associated with health risks. Although both behaviors have been investigated separately in people after stroke, little is known about the combined movement behavior patterns, differences in these patterns between individuals, or the factors associated with these patterns. Therefore, the objectives of this study are (1) to identify movement behavior patterns in people with first-ever stroke discharged to the home setting and (2) to explore factors associated with the identified patterns. Methods— Cross-sectional design using data from 190 people with first-ever stroke discharged to the home setting. Movement, behavior was measured over 2 weeks using an accelerometer. Ten movement behavior outcomes were calculated and compressed using principal component analysis. Movement behavior patterns were identified using a k-means clustering algorithm. Demographics, stroke, care, physical functioning, and psychological, cognitive and social factors were obtained. Differences between and factors associated with the patterns were investigated. Results— On average, the accelerometer was worn for 13.7 hours per day. The average movement behavior of the participants showed 9.3 sedentary hours, 3.8 hours of light physical activity, and 0.6 hours of moderate-vigorous physical activity. Three patterns and associated factors were identified: (1) sedentary exercisers (22.6%), with a relatively low age, few pack-years, light drinking, and high levels of physical functioning; (2) sedentary movers (45.8%), with less severe stroke symptoms, low physical functioning and high levels of self-efficacy; and (3) sedentary prolongers (31.6%), with more severe stroke symptoms, more pack-years, and low levels of self-efficacy. Conclusions— The majority of people with stroke are inactive and sedentary. Three different movement behavior patterns were identified: sedentary exercisers, sedentary movers, and sedentary prolongers. The identified movement behavior patterns confirm the hypothesis that an individually tailored approach might be warranted with movement behavior coaching by healthcare professionals.


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