Mary L. Greaney

A Site-Specific Literature Review of Policy and Environmental Interventions That Promote Physical Activity and Nutrition for Cardiovascular Health: What Works?

Objective. To review the literature to determine whether policy and environmental interventions can increase peoples physical activity or improve their nutrition. Data Sources. The following databases were searched for relevant intervention studies: Medline, Chronic Disease Prevention File, PsychInfo, Health Star, Web of Science, ERIC, the U.S. Department of Transportation, and the U.S. Department of Agriculture. Study Selection. To be included in the review, studies must have (1) addressed policy or environmental interventions to promote physical activity and/or good nutrition; (2) been published from 1970 to October 2003; (3) provided a description of the intervention; and (4) reported behavioral, physiological, or organizational change outcomes. Studies that had inadequate intervention descriptions or that focused on determinants research, individual-level interventions only, the built environment, or media-only campaigns were excluded. Data Extraction. We extracted and summarized studies conducted before 1990 (n = 65) and during 1990–2003 (n = 64). Data Synthesis. Data were synthesized by topic (i.e., physical activity or nutrition), by type of intervention (i.e., point-of-purchase), and by setting (i.e., community, health care facility, school, worksite). Current studies published during 1990–2003 are described in more detail, including setting and location, sample size and characteristics, intervention, evaluation period, findings, and research design. Findings are also categorized by type of intervention to show the strength of the study designs and the associations of policy and environmental interventions with physical activity and nutrition. Conclusions. The results of our review suggest that policy and environmental strategies may promote physical activity and good nutrition. Based on the experimental and quasi-experimental studies in this review, the following interventions provide the strongest evidence for influencing these behaviors: prompts to increase stair use (N = 5); access to places and opportunities for physical activity (N = 6); school-based physical education (PE) with better-trained PE teachers, and increased length of time students are physically active (N = 7); comprehensive work-site approaches, including education, employee and peer support for physical activity, incentives, and access to exercise facilities (N = 5); the availability of nutritious foods (N = 33), point-of-purchase strategies (N = 29); and systematic officer reminders and training of health care providers to provide nutritional counseling (N = 4). Further research is needed to determine the long-term effectiveness of different policy and environmental interventions with various populations and to identify the steps necessary to successfully implement these types of interventions.

College students' barriers and enablers for healthful weight management: a qualitative study.

OBJECTIVE To identify barriers and enablers for healthful weight management among college students. DESIGN Sixteen on-line focus groups, homogeneous by sex and university. SETTING Eight universities in 8 states. PARTICIPANTS College students (N = 115; 55% female; mean age 19.7 +/- 1.6). ANALYSIS Qualitative software, Nvivo version 2 (QSR International, Victoria, Australia, 2002), was used; similar codes were grouped together and categorized using an ecological model. RESULTS Males and females cited the same barriers to weight management: intrapersonal (eg, temptation and lack of discipline); interpersonal (social situations); and environmental (eg, time constraints, ready access to unhealthful food). Similar enablers were identified by sex: intrapersonal (eg, regulating food intake, being physically active); interpersonal (social support); and environmental (eg, universitys environment supports physical activity). More barriers than enablers were given, indicating that these college students were more sensitive to barriers than the enablers for weight management. Factors viewed by some students as barriers to weight management were viewed as enablers by others. CONCLUSIONS AND IMPLICATIONS When designing weight management interventions for college students, sex specificity may not be as important as considering that a barrier for one student may be an enabler for another. From an ecological perspective, individually focused interventions must be implemented in conjunction with environmental-level interventions to facilitate behavior change.

Influence of Social Context on Eating, Physical Activity, and Sedentary Behaviors of Latina Mothers and Their Preschool-Age Children

As more U.S. children grow up in Latino families, understanding how social class, culture, and environment influence feeding practices is key to preventing obesity. The authors conducted six focus groups and 20 in-depth interviews among immigrant, low-income Latina mothers in the Northeast United States and classified 17 emergent themes from content analysis according to ecologic frameworks for behavior change. Respondents related environmental influences to child feeding, diet, and activity, namely, supermarket proximity, food cost, access to recreational facilities, neighborhood safety, and weather. Television watching was seen as integral to family life, including watching during meals and using TV as babysitter and tool to learn English. Participation in the WIC program helped families address food insecurity, and child care provided healthy eating and physical activity opportunities. Health promotion efforts addressing obesity trends in Latino children must account for organizational and environmental influences on the day-to-day social context of young immigrant families.

The Relationship Between Obesity, Physical Activity, and Physical Function in Older Adults

Objective: This study investigated the relationship between overweight and obesity, age, and gender with physical activity and physical function in community-dwelling older men and women. Method: Multivariate analysis of covariance was used to analyze differences between normal weight, overweight, and obese adults (n = 821) above the age of 60 years. Results: Obesity but not overweight was associated with lower levels of physical activity and physical function. Within BMI groups, individuals who were physically active were less likely to have abnormal physical function scores compared to those who were sedentary. Compared to men, obese women had lower physical function scores, placing them at higher risk for future disability. Aging was associated with lower levels of physical activity and physical function. Discussion: The study illustrates the importance of avoiding obesity and participating in regular physical activity to prevent or slow down the loss of functioning in older age.

Physical and mental health-related correlates of physical function in community dwelling older adults: a cross sectional study

BackgroundPhysical function is the ability to perform both basic and instrumental activities of daily living, and the ability of older adults to reside in the community depends to a large extent on their level of physical function. Multiple physical and health-related variables may differentially affect physical function, but they have not been well characterized. The purpose of this investigation was to identify and examine physical and mental health-related correlates of physical function in a sample of community-dwelling older adults.MethodsNine hundred and four community dwelling older men (n = 263) and women (n = 641) with a mean (95% Confidence Interval) age of 76.6 (76.1, 77.1) years underwent tests of physical function (Timed Up and Go; TUG), Body Mass Index (BMI) was calculated from measured height and weight, and data were collected on self-reported health quality of life (SF-36), falls during the past 6 months, number of medications per day, depression (Geriatric Depression Scale; GDS), social support, and sociodemographic variables.ResultsSubjects completed the TUG in 8.7 (8.2, 9.2) seconds and expended 6,976 (6,669, 7,284) Kcal.wk-1 in physical activity. The older persons had a mean BMI of 27. 6 (27.2, 28.0), 62% took 3 or more medications per day, and14.4% had fallen one or more times over the last 6 months. Mean scores on the Mental Component Summary (MCS) was 50.6 (50.2, 51,0) and the Physical Component Summary (PCS) was 41.3 (40.8, 41.8).Multiple sequential regression analysis showed that, after adjustment for TUG floor surface correlates of physical function included age, sex, education, physical activity (weekly energy expenditure), general health, bodily pain, number of medications taken per day, depression and Body Mass Index. Further, there is a dose response relationship such that greater degree of physical function impairment is associated with poorer scores on physical health-related variables.ConclusionsPhysical function in community-dwelling older adults is associated with several physical and mental health-related factors. Further study examining the nature of the relationships between these variables is needed.

Intervening on exercise and nutrition in older adults: the Rhode Island SENIOR Project.

Presented are the basic design, methods, and baseline data analyses for the Study of Exercise and Nutrition in Older Rhode Islanders (SENIOR Project) an experimental study to investigate the relative effectiveness of a 12-month, stage of readiness to change-based multiple-behavior intervention (exercise and nutrition) compared to single-behavior interventions in a community-dwelling population of 1,277 older adults. Relationships between stage of readiness to change in the two target behaviors, as well as the relationship between stage of readiness and self-reported exercise levels and fruit and vegetable consumption, were examined using a combination of Pearson chi-squares, analyses of variance (ANOVA), and Spearman’s rank order correlations. Stage of change (SOC) for fruit and vegetable consumption was significantly associated with the dietary measure, and SOC for exercise was associated with both the three physical activity measures and servings of fruits and vegetables per day. Overall, individual older adults readiness to change seems largely to be behavior-specific.

Disordered Weight Control Behaviors in Early Adolescent Boys and Girls of Color: An Under-Recognized Factor in the Epidemic of Childhood Overweight

OBJECTIVES Ethnic disparities in childhood overweight are well-documented. In addition, disordered weight control behaviors (DWCB) have been linked to overweight and weight gain in multiple ways, but little is known about DWCB in youth of color, especially boys. We examined the distribution and determinants of ethnic and gender disparities in DWCB in early adolescents. METHODS In fall 2005, 47 Massachusetts middle schools participating in the Healthy Choices overweight prevention study administered a self-report baseline survey assessing student sociodemographics, height, weight, and DWCB (vomiting or use of laxatives or diet pills in the past month to control weight). Data from 16,978 girls and boys were used in multivariate logistic regression models to estimate the odds of DWCB in youth of color compared with their white peers, controlling for individual- and school-level factors. RESULTS Among white youth, 2.7% of girls and 2.3% of boys reported DWCB. The odds of DWCB were elevated 2-10 times in most ethnic groups relative to whites. Disparities were attenuated but persisted after controlling for multiple individual- and school-level factors. CONCLUSIONS Ethnic disparities in DWCB must be considered in efforts to address the epidemic of childhood overweight.

Physical activity, physical function, and stages of change in older adults.

OBJECTIVE To characterize physical activity and physical function by stage of change and age in older adults. METHODS One thousand two hundred thirty-four individuals completed The Yale physical activity survey (YPAS), stage of change for exercise, and the Up-and-Go physical function test. RESULTS Most subjects were in the maintenance (50.4%) or precontemplation stages (21/0%). YPAS scores were higher and Upand-Go scores were lower as exercise stage increased. Physical activity and physical function scores were lower in older age groups. CONCLUSION Higher stages were positively associated with physical activity and physical function. Age was a significant moderator variable affecting stage, physical activity, and physical function.

Accumulation of Behavioral Validation Evidence for Physical Activity Stage of Change

OBJECTIVE The purpose of this study was to accumulate behavioral validity evidence for physical activity Stage of Change (SOC). DESIGN Nine studies used a common physical activity SOC measure and examined self-report, objective, and performance physical activity indicators to accumulate behavioral validity evidence for SOC. Type of measure, the strength of the expected relationship between the measure and SOC, and the predicted SOC differences were examined. Validity evidence for the SOC was also examined by population and sampling method. MAIN OUTCOME MEASURES Validity evidence for physical activity SOC was classified with respect to the type of measurement instrument and the hypothesized magnitude of the relationship between the measure and the SOC. RESULTS Physical activity SOC was found to be behaviorally valid as evidenced by self-reported physical activity, self-reported exercise, self-reported sedentary behaviors, pedometers, and physical functioning. Physical activity SOC does not appear to be related to physical fitness or weight indicators. CONCLUSIONS This study highlights a successful multi-site collaboration. Physical activity data from nine large-scale, health trials was combined and accumulated behavioral validation evidence for the physical activity SOC.

Achieving recruitment goals through community partnerships: the SENIOR Project.

Summary: This article discusses the process of developing collaborative relationships for a community-based health promotion project. A partnership was established among the university, the city where the intervention took place, and the community senior center. A community advisory board was created to identify the strengths, diversity, and needs of each partner. The community advisory board guided the partnership to recruit 1,277 older adults to participate in the intervention study. A sample was deemed representative after comparison with Census 2000 data, with gender and educational attainment being similar.