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THE SCIENCE
OF HEALTH PROMOTION |
| Interventions |
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Nutrition |
Mical Kay Shilts
Marcel Horowitz
Marilyn S. Townsend
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81 |
Goal Setting as a Strategy for
Dietary and Physical Activity Behavior Change: A Review of the Literature
A systematic search of the literature on goal setting for physical activity
and nutrition identified 18 articles on interventions for adults, one for
adolescents, and four for children. Six of nine studies of adults found
interventions were more effective when goal setting was added. Four of four
additional evaluation studies with adults and four of four studies with
children found the interventions utilizing goal setting showed positive
outcomes. Results were inclusive in terms of identifying the most important
characteristics of goal setting. |
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Behavior
Change |
Erin L. O'Hea,
Edwin D. Boudreaux,
Shawn K. Jeffries,
Cindy L. Carmack Taylor,
Isabel C. Scarinci,
Phillip J. Brantley
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94 |
Stage of Change Movement Across
Three Health Behaviors: The Role of Self-Efficacy
Self-efficacy and stages of readiness to change smoking, exercise, and
dietary fat consumption were measured among 554 low income patients in
primary care clinics. Self-efficacy accurately predicted stage change one
month in the future for 44% of people who progressed to a more advanced
stage, 27% who regressed, and 64% who stayed in the same stage. |
Joel B. Bennett
Camille R. Patterson
G. Shawn Reynolds
Wyndy L. Wiitala
Wayne E. K. Lehman
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103 |
Team Awareness, Problem
Drinking, and Drinking Climate: Workplace Social Health Promotion in a
Policy Context
Employees in safety-sensitive departments of a large municipality were
randomly assigned to an eight-hour team awareness (n = 201), 4-hour
informational (n = 192) or control (n = 194) condition to reduce alcohol
related problems. Employees in the team awareness condition reduced
prevalence of problem drinking from 20% to 11%, and missing work or working
with a hangover from 16% to 6% over six months. Information-trained workers
also reduced problem drinking from 18% to 10%.
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Maria Kosma
Bradley J. Cardinal,
Jeffrey A. McCubbin
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114 |
Predictors of Physical Activity
Stage of Change Among Adults With Physical Disabilities
Participants in a web-based physical activity program designed for people
with physical disabilities participated in a cross-sectional survey to
determine the components of the transtheoretical model most important in
predicting stage of physical activity. A direct discriminant function
analysis revealed that the most important stage of change predictors were
the behavioral (r2 = .88) and cognitive (r2 = .50) processes of change,
followed by self-efficacy (r2 = .33) and decisional balance (r2 = .13). The
most accurate stages in prediction were the contemplation (76.3%),
preparation (58.3%), and precontemplation (40%) stages, whereas the least
accurate stages were the action (0.0%) and maintenance (8.3%) stages.
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Nancy A. Garrett
Nina L. Alesci
Monica M. Schultz
Steven S. Foldes
Sanne J. Magnan
Marc W. Manley
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118 |
The Relationship of Stage of
Change for Smoking Cessation to Stage of Change for Fruit and Vegetable
Consumption and Physical Activity in a Health Plan Population
The relationship between stage of change for smoking cessation and stage of
change for fruit and vegetable consumption, and physical activity were
studied at a stratified random sample of 9675 health plan members through a
telephone interview. Stage of change for smoking is more closely related to
stage of change for fruit and vegetable consumption than physical activity,
but neither is a strong predictor.
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| Applications |
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Health Promoting Community
Design |
Mark Braza
Wendy Shoemaker
Anne Seeley
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128 |
Neighborhood Design and Rates
of Walking and Biking to Elementary School in 34 California Communities
Students (2993) in 105 classrooms in 35 schools in California public
elementary schools were asked if they were driven, rode the buses , or biked
or walked to school on the day of the study.
In the multiple regression analysis, 70.3% of the variance in walking or
biking to school was explained by close proximity to school, small school
size, low-income family, and Hispanic race.
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| Jay Maddock |
137 |
The Relationship Between
Obesity and the Prevalence of Fast Food Restaurants: State-Level Analysis
The relationship between obesity and density of fast food restaurants was
measured at the state level using 2000 Behavioral Risk Factor Surveillance
System data, 2000 U.S. Census data and 2002 U.S.Yellow Pages. Ethnicity,
age, gender, physical activity, and fruit and vegetable intake explained 55%
of the variance in obesity by state. Addition of density of fast food
restaurants and residents per fast food restaurant increased the variance
explained to 69%.
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| Research
Methods |
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Abstracts DataBase: Research and Evaluation Results |
144 148 |
9 abstracts
are featured from a variety of publications
Four new studies are critiqued and added to the DataBase chart.
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