16 results match your criteria: "Center for Research in Health Behavior[Affiliation]"

DASH to wellness: emphasizing self-regulation through e-health in adults with prehypertension.

Health Psychol

March 2014

Laboratory for Eating Behaviors & Weight Management, Department of Human Nutrition, Foods, and Exercise, Virginia Tech University.

Objective: High prevalence rates of prehypertension require nonpharmaceutical lifestyle interventions. The objective of this study was to assess the feasibility and initial efficacy of a primarily electronically delivered intervention for prehypertension.

Methods: Twenty-three adults with prehypertension (M age of 54.

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Part one of this study investigated the effect of aging on social-cognitive characteristics related to physical activity (PA) among adults in the baseline phase of a health promotion intervention. Participants' questionnaire responses and activity logs indicated PA levels and self-efficacy declined with age, while social support and the use of self-regulatory behaviors (e.g.

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Background: Evaluation of online health interventions should investigate the function of theoretical mechanisms of behavior change in this new milieu.

Objectives: To expand our understanding of how Web-based interventions influence behavior, we examined how changes at 6 months in participants' psychosocial characteristics contributed to improvements at 16 months in nutrition, physical activity (PA), and weight management as a result of the online, social cognitive theory (SCT)-based Guide to Health intervention (WB-GTH).

Methods: We conducted recruitment, enrollment, and assessments online with 272 of 655 (41.

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Background: The Internet is a trusted source of health information for growing majorities of Web users. The promise of online health interventions will be realized with the development of purely online theory-based programs for Web users that are evaluated for program effectiveness and the application of behavior change theory within the online environment. Little is known, however, about the demographic, behavioral, or psychosocial characteristics of Web-health users who represent potential participants in online health promotion research.

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In an evaluation of the theoretical foundations of behavior change, the current study examined whether social cognitive (SCT) variables mediated treatment effects on physical activity and nutrition in the recently reported Guide-to-Health trial (GTH). Adults (N = 661) were assessed at baseline, seven months and 16 months to examine whether treatment-related changes in SCT variables at seven months mediated change in nutrition and physical activity at 16 months. GTH treatment effects were mediated by self-efficacy, self-regulation and social support; self-regulation mediated self-efficacy.

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A social-cognitive model of physical activity was tested, using structural equation analysis of data from 999 adults (21% African American; 66% female; 38% inactive) recruited from 14 southwestern Virginia churches participating in the baseline phase of a health promotion study. Within the model, age, race, social support, self-efficacy, and self-regulation contributed to participants' physical activity levels, but outcome expectations did not. Of the social-cognitive variables, self-regulation exerted the strongest effect on physical activity.

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Objective: The purpose of this article is to evaluate an 8-week pilot intervention based on Social Cognitive Theory to improve quality of life for women with breast cancer.

Methods: A total of 32 breast cancer patients were randomized to either the intervention or standard care. Outcome variables included quality of life, mood, self-efficacy, outcome expectations, and self-regulation.

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Background: Outcome expectancy is a central construct in social cognitive models of health behavior widely used as frameworks for physical activity research.

Purpose: This article provides a review of the outcome expectancy construct and its application to research on physical activity.

Methods: Theoretical articles describing definitions and placement of outcome expectancy within social cognitive models, as well as empirical research on outcome expectancy and physical activity, were reviewed.

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A threshold model postulates that prescriptively applying the appropriate cardiorespiratory and strength stimulus at a designated threshold of intensity for a brief time results in the targeted adaptations. A randomized control group design was used with 17 unfit males and females (mean age = 37.1 +/- 6.

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This study used a prospective design to test a model of the relation between social cognitive variables and physical activity in a sample of 277 university students. Social support, self-efficacy, outcome expectations, and self-regulation were measured at baseline and used to predict physical activity 8 weeks later. Results of structural equation modeling indicated a good fit of the social cognitive model to the data.

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Public health guidelines primarily focus on the promotion of physical activity and steady-state aerobic exercise, which enhances cardiorespiratory fitness and has some impact on body composition. However, research demonstrates that resistance exercise training has profound effects on the musculoskeletal system, contributes to the maintenance of functional abilities, and prevents osteoporosis, sarcopenia, lower-back pain, and other disabilities. More recent seminal research demonstrates that resistance training may positively affect risk factors such as insulin resistance, resting metabolic rate, glucose metabolism, blood pressure, body fat, and gastrointestinal transit time, which are associated with diabetes, heart disease, and cancer.

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This study examined the direct and mediated impact of a self-administered, computer-based intervention on nutrition behavior self-efficacy, and outcome expectations among supermarket food shoppers. The intervention, housed in kiosks in supermarkets and based on social cognitive theory, used tailored information and self-regulation strategies delivered in 15 brief weekly segments. The study sample (N = 277), stratified and randomly assigned to treatment or control, was 96% female, was 92% White, had a median annual income of about $35,000, and had a mean education of 14.

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Public health guidelines focus on increasing low to moderate physical activity levels in a largely sedentary population. While there is some evidence that inactivity is associated with increased risk of morbidity and mortality, there appears to be much stronger and consistent evidence for a graded inverse relationship between physical fitness and morbidity and mortality. However, epidemiological studies investigating physical fitness have often not directly measured aerobic capacity.

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A social-cognitive model of nutrition behavior (A. Bandura, 1997) was tested using structural equation modeling of data from 307 food shoppers recruited from 5 supermarkets in Southwest Virginia. The shoppers were participating in the baseline phase of an ongoing nutrition promotion program.

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A randomized-control test of a multimedia nutrition intervention-the Nutrition for a Lifetime System (NLS©)- utilized supermarket receipts to examine effects of NLS treatment on the daily per person nutritional content of participants' supermarket purchases. In regression analyses controlling for background variables, baseline purchases and trends toward increased purchasing, NLS treatment contributed to lower levels of total fat and to higher levels of total fiber and servings of fruits and vegetables at post-test. Redemption of NLS coupons contributed to greater decreases in fat and increases in servings of fruits and vegetables in users' purchases.

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This study assessed the effects of frequency of prompting (phone calls once a week versus once every 3 weeks) and structure of prompting (high versus low structure) in 135 participants (132 women and 3 men) in a walking program designed to meet the American College of Sports Medicine's cardiovascular exercise goals. Survival analysis using 6 months of data points and using the criteria of walking at least 20 min a day for at least 3 times per week indicated an effect for more frequent versus less frequent prompting (46% and 13%) but not for high- versus low-structure prompting (30% and 31%). The results suggested the efficacy of frequent prompting delivered in inexpensive ways as a means to increase exercise adherence and the further parametric study of other basic behavior change strategies.

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