Browsing by Author "Dorough, Ashley E."
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- Dash 2 Wellness: Effects of a Multi-Component Lifestyle Modification Program on Nutrition, Physical Activity, and Blood Pressure in Prehypertensive Middle-Aged Adults, a Randomized Controlled TrialDorough, Ashley E. (Virginia Tech, 2009-04-17)The primary goal of this project was to develop, implement, and evaluate a lifestyle modification intervention that did not require extensive, ongoing personal contact to improve lifestyle behaviors shown to lower blood pressure (BP) in adults with prehypertension (N=23, mean age=54, mean BP=126.7/75.1). Incorporating clinical practices and psychological approaches to behavior change, this intervention used primarily the DASH Eating Plan, coupled with a low-sodium diet and a walking program; it applied social cognitive theory to health behavior change, specifically self-regulation for self-monitoring and management of BP, diet, exericse, and weight. The study compared two conditions, the DASH 2 Wellness Only standard of care condition to the DASH 2 Wellness Plus treatment condition on the primary outcome measures of fruit and vegetable (servings/day), sodium consumption (milligrams/day), physical activity (steps/day), weight (kgs), and blood pressure (primarily systolic BP). Consistent with hypotheses, MANOVAs detected significant differences between the conditions with D2W Plus evidencing a larger increase in change of total daily steps (M= 2900.14, SD= 1903.83) than D2W Only, (M= 636.39, SD= 1653.26), a larger decrease in systolic BP change (MMHG) (M= 15.14, SD= 4.33) than D2W Only, (M= 4.61, SD= 8.28), and a larger decrease in weight change (kg) (M= 4.78, SD= 3.81) than D2W Only, (M= 1.47, SD= 2.57). While conditions did not significantly differ on daily sodium reduction or fruit and vegetable increase, D2W Plus evidenced a larger decrease in sodium (mg) (M= 932.22, SD= 1019.22) than D2W Only, (M= 423.64, SD= 749.15) and larger increase in fruit and vegetable increase, (M= 2.10, SD= 1.73) than D2W Only, (M= 1.02, SD= 2.24). It was also hypothesized that the D2W Plus condition would show greater improvements in nutrition-specific and PA-specific health beliefs of self-regulation, social support, self-efficacy, social support, and outcome-expectancy compared to those in the D2W Only condition. A MANOVA revealed significant group differences in PA-specific health beliefs primarily attributable to increased PA self-regulation in D2W Plus compared to D2W Only, (M= 1.78, SD= 0.75) and (M= 0.55, SD= 0.57), respectively. While no overall significant group differences were found for nutrition-specific health beliefs, analyses showed meaningful differences in nutrition-specific health beliefs attributable to increased nutrition self-regulation strategies in D2W Plus compared to D2W Only. Results provide preliminary support for the efficacy of an electronic delivery of an intervention aimed at improving lifestyle behaviors and lowering BP in middle-aged individuals with prehypertension.
- The Relationship of Preferences and Self-Regulation Among Consistent ExercisersDorough, Ashley E. (Virginia Tech, 2005-12-15)Previous research, such as 'exercise determinants', has primarily sampled minimally physically active and sedentary people. In turn, studies focused on correlates of and perceived barriers to minimal physical activity (PA). The present study focused on exercisers (N=247, mean age=34) to assess social cognitive variables associated with PA consistency. Participants were categorized as either inconsistent, or slightly, fairly, or highly consistent exercisers. A new preference construct (type of activity, environment, social setting, feedback) for exercise was developed, and its association with consistency was assessed. Online measures assessed PA levels, preferences, enjoyment, outcome expectancy, self-efficacy, social-support, self-regulation. Higher planning confidence (Ã =.333, p<.000) and frequency (Ã =.276, p<.000) was associated with higher levels of PA consistency. Planning preference influenced planning frequency (Ã =.498, p<.000). Planning confidence influenced planning preference (Ã =.187, p<.003), which mediated its effect on planning frequency (Ã =.220, p<.000). Goal-setting frequency influenced consistency (Ã =.279, p<.000). Goal-setting preference influenced goal-setting frequency (Ã =.668, p<.000). Tracking frequency influenced consistency (Ã =.216, p<.000). Tracking preference influenced tracking frequency (Ã =.696, p<.000). Tracking confidence influenced tracking preference (Ã =.517, p< .000). Age influenced planning confidence (Ã =-.147, p<.021) and goal-setting confidence (Ã =-.164, p<.01). Engaging in PA in one's preferred environment (Ã =.540, p<.000) or with preferred company (Ã =.220, p<.001) was higher among more consistent exercisers. Using strategies to offset perceived barriers to exercise was highly predictive of consistency (Ã =.458, p<.000). Results suggest interventions should assess and match people to PA preference dimensions (i.e. environment, company, and self-regulation strategies) which will increase their self-regulation and ultimately exercise consistency.