Biomedical subjects

Ross C Brownson

Publications and source records attributed to Ross C Brownson.

At least 19 recordsLinked to original sources

PubMed2007

Recognition of childhood overweight during health supervision visits: Does BMI help pediatricians?

OBJECTIVE: To assess, in diverse pediatric practices, the frequency of overweight/obesity (OW/OB) identification during health supervision visits and its association with BMI curve use. RESEARCH METHODS AND PROCEDURES: Pediatricians in public and private practice in St. Louis, MO, participated in a study of the care of chronic conditions during health supervision visits. Requested information from 30 visits per pediatrician of children 6 to 17 years of age included the visit note, the growth chart, and a one-page questionnaire about patient demographics and visit content. Pediatricians indicated the presence and discussion of common chronic conditions, including OW/OB. Identification was compared with patient BMI category, and associations between identification and patient and visit characteristics, including BMI curve use, were examined. RESULTS: Twenty-one (40%) of contacted pediatricians returned information from 557 visits. Pediatricians identified OW/OB in 27% of children with a BMI at the 85th to 94th percentile and 86% of children with a BMI at or above the 95th percentile. Identification was higher in adolescents but was not associated with patient sex or race, practice setting, insurance type, or visit length. Only 41% of growth charts were current, and 6.1% had BMI plotted. BMI plotting was associated with OW/OB identification when the BMI was at the 85th to 94th percentile but not when the BMI was at or above the 95th percentile. After controlling for BMI percentile, OW/OB identification was significantly associated with diet counseling (odds ratio, 7.46; 95% confidence interval, 3.42 to 16.24) and exercise counseling (odds ratio, 5.57; 95% confidence interval, 2.61 to 11.90). DISCUSSION: Despite low BMI curve use, pediatricians recognized most overweight/obese children with a BMI at or above the 95th percentile. BMI plotting may increase recognition in mildly overweight children.

Adolescent↗

PubMed2007

Rural family caregivers and health behaviors: results from an epidemiologic survey.

This study examined health behaviors in a sample of rural family caregivers. In a community telephone survey of rural Missouri, Arkansas, and Tennessee, respondents were asked about their health, physical activity, nutrition, health providers, and family caregiving. Among 1,234 survey respondents, 12% self-identified as family caregivers. Caregivers reported lower fruit intake, more walking for exercise, and more provider advice about stress, fruits, and vegetables than noncaregivers. Groups did not differ in smoking, dietary fat, obesity, or self-rated health. Women caregivers reported more favorable patterns of physical activity, smoking, and provider interactions than men caregivers, and White caregivers had healthier reports of physical activity and body mass index than Black caregivers. These results provide new information about rural caregivers' health habits. Apart from nutritional intake, caregivers were not significantly different in most health behaviors. However, health providers seemed more attentive to caregivers regarding nutrition and stress.

Arkansas↗

PubMed2006

Modifiable risk factors for developing diabetes among women with previous gestational diabetes.

INTRODUCTION: Gestational diabetes mellitus (GDM) affects approximately 2% to 4% of all pregnant women in the United States each year. Women who have had GDM are at high risk for developing nongestational diabetes. The objective of this study was to assess the prevalence of modifiable risk factors for developing diabetes among women with previous GDM only. METHODS: Cross-sectional data for nonpregnant women from the 2003 Behavioral Risk Factor Surveillance System were used to estimate and compare the prevalence of modifiable risk factors among three groups: nonpregnant women with previous GDM only, nonpregnant women with current diabetes, and nonpregnant women without diabetes. RESULTS: In 2003, 7.6% of nonpregnant women aged 18 years and older in the United States had current self-reported physician-diagnosed diabetes, and 1.5% had previous GDM only. Compared with women without diabetes, women with previous GDM only had higher prevalence of no leisure-time physical activity (32.0% vs 25.7%), overweight (62.2% vs 49.0%), and obesity (29.4% vs 20.0%). After adjusting for sociodemographic variables, women with previous GDM only were more likely to have no leisure-time physical activity (prevalence odds ratio [POR], 1.4; 95% confidence interval [CI], 1.2-1.7) and more likely to be overweight (POR, 1.8; 95% CI, 1.6-2.2) or obese (POR, 1.7; 95% CI, 1.4-2.1), compared with women with no diabetes. CONCLUSION: Women with previous GDM are more likely to have modifiable risk factors for developing diabetes than women without diabetes. More attention to this issue is needed from health care providers and public health officials to encourage the promotion of healthy lifestyles during and after pregnancy.

Adolescent↗

PubMed2006

Radon, secondhand smoke, glutathione-S-transferase M1 and lung cancer among women.

Tobacco smoke and ionizing radiation induce oxidative stress by transmitting or generating reactive oxygen species (ROS). We hypothesized that glutathione-S-transferase M1 (GSTM1) null homozygotes would have decreased ability to neutralize ROS that might increase their susceptibility to lung cancer. A case-only design was used with lung cancer cases pooled from 3 previously completed case-control studies using archival tissue samples from 270 lung cancer cases to genotype GSTM1. Radon concentrations were measured with long-term alpha-track radon detectors. Secondhand smoke (SHS) was measured with questionnaires and interviews. Unconditional logistic regression was used to calculate the interaction odds ratios (OR) and 95% confidence intervals (95% CI). Radon concentrations >121 Bq m(-3) were associated with a >3-fold interaction OR (OR = 3.41; 95% CI = 1.10, 10.61) for GSTM1 null homozygotes compared to GSTM1 carriers; the linear trend was significant (p trend = 0.03). The SHS and GSTM1 interaction OR was also elevated (OR = 2.28; 95% CI = 1.15-4.51) among never-smokers. This may be the first study to provide evidence of a GSTM1 and radon interaction in risk of lung cancer. Additionally, these findings support the hypothesis that radon and SHS promote neoplasia through shared elements of a common pathway.

Aged↗

PubMed2006

If you build it, they will come: lessons from developing walking trails in rural Missouri.

Given the high rates of sedentary behaviors, attempts to increase physical activity have incorporated individual and, more recently, policy and environmental approaches for promotion of activity. This article presents a summary of the approaches being used by the Ozark Heart Health Coalitions in developing walking trails in rural Missouri. In summarizing these approaches the authors describe 10 lessons with the aim of articulating the process and, thereby, increasing interest and capacity in development of walking trails. Qualitative and quantitative data were used to show burden and priorities and build support with numerous stakeholders. Stakeholders were engaged to identify common objectives, obtain land and funding, and determine trail size, materials, and time needed for construction. Implementation activities focused on trail maintenance and addition of amenities (e.g., playgrounds, benches). In the area of evaluation, they collect data via interviews with walkers on trails and community telephone surveys.

Community-Based Participatory Research↗

PubMed2006

Cross-national comparison of environmental and policy correlates of obesity in Europe.

BACKGROUND: Despite the growing agreement that modern environments fuel increased food consumption and decreased physical activity, few studies have addressed environmental and policy correlates of obesity. This study describes obesity patterns across Europe and identifies macroenvironmental factors associated with obesity prevalence at a national level. METHODS: Data on obesity prevalence and indicators of the physical, economic, and policy environment were assembled from international databases for 24 European countries. Coefficient estimates between overall, male, and female obesity prevalence and each independent variable were calculated using linear regression. RESULTS: The obesity prevalence varied widely across countries and between genders with higher values in Central and Eastern European countries and lower values in France, Italy, and some Scandinavian countries. Statistically significant inverse associations were observed between overall and female obesity prevalence and variables from the following domains: economic (real domestic product), food (available fat), urbanization (urban population), transport (passenger cars, price of gasoline, motorways), and policy (governance indicators). There was also a negative association between overall obesity and available fruits/vegetables, and between female obesity and single-member households. Male obesity was inversely associated with available fruits/vegetables and density of motorways. The magnitude of the coefficient estimates suggests stronger associations for female obesity than for male obesity in all cases. CONCLUSIONS: This exploratory study suggests a need to conduct additional research examining the role of obesogenic environments in European countries, with a special focus on policy-related variables, and to further study gender-specific differences in obesity and its correlates.

Cross-Cultural Comparison↗

PubMed2006

Researchers and policymakers: travelers in parallel universes.

Public policy, in the form of laws, guidelines, and regulations, has a profound effect on our daily lives and health status. Reasons for a lack of consistent and systematic translation of public health research into public policy is examined, including differences in decision-making processes, poor timing, ambiguous findings, the need to balance objectivity and advocacy, personal demands of the process, information overload, lack of relevant data, and the mismatch of randomized thinking with nonrandom problems. Next, several actions are suggested that should help bridge the chasm between science and policy, such as greater involvement in the process, better understanding of political decision making, building of effective teams, and development of political champions. Scientists are obligated not only to discover new knowledge but also to ensure that discoveries are applied to improve health.

Communication↗

PubMed2006

Methodologic challenges in disseminating evidence-based interventions to promote physical activity.

During the past decade, numerous intervention studies have been published on the effectiveness of programs to promote active living; however, few studies have addressed the dissemination of effective physical activity interventions. Both community settings and healthcare settings are important locations for dissemination of evidence-based programs and policies. A major gap in the existing literature involves the appropriate methodologic approaches for planning, evaluating, and reporting on dissemination efforts for effective and promising interventions in these locations. To address this gap, two hypothetical dissemination studies are presented: a quasi-experimental study of local health agencies (Scenario 1) and a group-randomized trial of clinical practices (Scenario 2). These studies help to elucidate the barriers and opportunities for implementing evidence-based physical activity interventions across different settings. Based on the scenarios, the existing literature, and the authors' experience, dissemination challenges that researchers and practitioners may experience (i.e., issues of design, measures of outcomes and external validity, the balance between fidelity and adaptation to local settings, and the review and funding of dissemination science) are discussed. Researchers, practitioners, and policymakers are invited to address the issues outlined in this article in order to bridge the gap between the generation of new knowledge on efficacious physical activity interventions and widespread application of these approaches in community and clinical settings.

Community Health Services↗

PubMed2006

Indicators of activity-friendly communities: an evidence-based consensus process.

BACKGROUND: Regular physical activity, even at modest intensities, is associated with many health benefits. Most Americans, however, do not engage in the recommended levels. As practitioners seek ways to increase population rates of physical activity, interventions and advocacy efforts are being targeted to the community level. Yet, advocates, community leaders, and researchers lack the tools needed to assess local barriers to and opportunities for more active, healthy lifestyles. Investigators used a systematic review process to identify key indicators of activity-friendly communities that can assess and improve opportunities for regular physical activity. METHODS: Investigators conducted a comprehensive literature review of both peer-reviewed literature and fugitive information (e.g., reports and websites) to generate an initial list of indicators for review (n=230). The review included a three-tiered, modified Delphi consensus-development process that incorporated input of international, national, state, and local researchers and practitioners from academic institutions, federal and state government agencies, nonprofit organizations, and funding agencies in public health, transportation, urban planning, parks and recreation, and public policy. RESULTS: Ten promising indicators of activity-friendly communities were identified: land use environment, access to exercise facilities, transportation environment, aesthetics, travel patterns, social environment, land use economics, transportation economics, institutional and organizational policies, and promotion. CONCLUSIONS: Collaborative, multidisciplinary approaches are underway to test, refine, and expand this initial list of indicators and to develop measures that communities, community leaders, and policymakers can use to design more activity-friendly community environments.

Consensus↗

PubMed2006

Relationship between urban sprawl and weight of United States youth.

BACKGROUND: Among United States youth there is an obesity epidemic with potential life-long health implications. To date, relationships between the built environment and body mass index (BMI) have not been evaluated for youth, and have not been evaluated longitudinally. OBJECTIVES: To determine if urban sprawl is associated with BMI for U.S. youth. METHODS: Using data from the 1997 National Longitudinal Survey of Youth (NLSY97), both cross-sectional and longitudinal analyses were conducted. Hierarchical modeling was used to relate characteristics of individuals, households, and places to BMI. Individual and household data were extracted from the NLSY97. The independent variable of interest was the county sprawl index, which was derived with principal components analyses from census and other data. RESULTS: In a cross-sectional analysis, the likelihood of U.S. adolescents (aged 12-17 years) being overweight or at risk of overweight (> or =85th percentile relative to the Centers for Disease Control growth charts) was associated with county sprawl (p=0.022). In another cross-sectional analysis, after controlling for sociodemographic and behavioral covariates, the likelihood of young adults (aged 18-23 years) being obese was also associated with county sprawl (p=0.048). By contrast, in longitudinal analyses, BMI growth curves for individual youth over the 7 years of NLSY97, and BMI changes for individual youth who moved between counties, were not related to county sprawl (although coefficient signs were as expected). CONCLUSIONS: Cross-sectional analyses suggest that urban form is associated with being overweight among U.S. youth. The strength of these relationships proved comparable to those previously reported for adults. Longitudinal analyses show no such relationship. It is unclear why these approaches give different results, but sample sizes, latent effects, and confounders may contribute.

Adolescent↗

PubMed2006

Shaping the context of health: a review of environmental and policy approaches in the prevention of chronic diseases.

Given the growing attention on how environmental and policy interventions can affect chronic disease burden, our objectives are to describe (a) effective and promising interventions to address tobacco use, physical activity, and healthy eating and (b) lessons learned from the literature and practice experience in applying environmental and policy approaches. A total of 17 interventions were reviewed, organized across 3 domains affecting the physical environment/access, economic environment, and communication environment. Many of these interventions are effective. Several lessons are important to consider, such as the need to start with environmental and policy approaches, intervene comprehensively and across multiple levels, make use of economic evaluations, make better use of existing analytic tools, understand the politics and local context, address health disparities, and conduct sound policy research.

Chronic Disease↗

PubMed2006

Individual, social environmental, and physical environmental influences on physical activity among black and white adults: a structural equation analysis.

BACKGROUND: Social ecological models suggest that conditions in the social and physical environment, in addition to individual factors, play important roles in health behavior change. Using structural equation modeling, this study tested a theoretically and empirically based explanatory model of physical activity to examine theorized direct and indirect effects of individual (e.g., motivation and self-efficacy), social environmental (e.g., social support), and physical environmental factors (e.g., neighborhood quality and availability of facilities). METHOD: A community-based sample of adults (N = 910) was recruited from 2 public health centers (67% female, 43% African American, 43% < $20,000/year, M age = 33 years) and completed a self-administered survey assessing their current physical activity level, intrinsic and extrinsic motivation for physical activity, perceived social support, self-efficacy, and perceptions of the physical environment. RESULTS: Results indicated that (a) perceptions of the physical environment had direct effects on physical activity, (b) both the social and physical environments had indirect effects on physical activity through motivation and self-efficacy, and (c) social support influenced physical activity indirectly through intrinsic and extrinsic motivation. For all forms of activity, self-efficacy was the strongest direct correlate of physical activity, and evidence of a positive dose-response relation emerged between self-efficacy and intensity of physical activity. CONCLUSIONS: Findings from this research highlight the interactive role of individual and environmental influences on physical activity.

Adolescent↗

PubMed2006

Barriers to physical activity among women in the rural midwest.

Physical activity is an important factor in chronic disease control and prevention. Yet women and rural residents consistently report lower rates of physical activity than their male and urban/suburban counterparts. The objective of this study was to assess the relationship between personal, social, and environmental barriers and meeting moderate physical activity recommendations in a sample of rural women. Data were obtained from a telephone survey of 2,510 residents of rural southeastern Missouri, Tennessee, and Arkansas. After adjusting for age and income, women who identified personal barriers, such as lack of time, no motivation, disinterest in exercise, and having no one to exercise with were less likely to meet physical activity recommendations. There was evidence of a dose-response relationship between the number of barriers identified and meeting moderate physical activity recommendations among women with higher incomes and women with lower incomes; however, this relationship was most striking among women with annual household incomes of 25,000 US Dollar or more. These findings may be used to tailor physical activity interventions to women in rural communities.

Adult↗

PubMed2005

Using concept mapping to develop a logic model for the Prevention Research Centers Program.

INTRODUCTION: Concept mapping is a structured conceptualization process that provides a visual representation of relationships among ideas. Concept mapping was used to develop a logic model for the Centers for Disease Control and Prevention's Prevention Research Centers Program, which has a large and diverse group of stakeholders throughout the United States. No published studies have used concept mapping to develop a logic model for a national program. METHODS: Two logic models were constructed using the data from the concept mapping process and program documents: one for the national level and one for the local level. Concept mapping involved three phases: 1) developing questions to generate ideas about the program's purpose and function, 2) gathering input from 145 national stakeholders and 135 local stakeholders and sorting ideas into themes, and 3) using multivariate statistical analyses to generate concept maps. Logic models were refined using feedback received from stakeholders at regional meetings and conferences and from a structured feedback tool. RESULTS: The national concept map consisted of 9 clusters with 88 statements; the local concept map consisted of 11 clusters with 75 statements. Clusters were categorized into three logic model components: inputs, activities, and outcomes. Based on feedback, two draft logic models were combined and finalized into one for the Prevention Research Centers Program. CONCLUSION: Concept mapping provides a valuable data source, establishes a common view of a program, and identifies inputs, activities, and outcomes in a logic model. Our concept mapping process resulted in a logic model that is meaningful for stakeholders, incorporates input from the program's partners, and establishes important program expectations. Our methods may be beneficial for other programs that are developing logic models for evaluation planning.

Cluster Analysis↗

PubMed2005

Evaluating changeability to improve fruit and vegetable intake among school aged children.

BACKGROUND: The purposes of this paper are two fold. First, to describe an approach used to identify fruits and vegetables to target for a child focused dietary change intervention. Second, to evaluate the concept of fruit and vegetable changeability and feasibility of applying it in a community setting. METHODS: Steps for identifying changeable fruits and vegetables include (1) identifying a dietary database (2) defining geographic and (3) personal demographics that characterize the food environment and (4) determining which fruits and vegetables are likely to improve during an intervention. The validity of these methods are evaluated for credibility using data collected from quasi-experimental, controlled design among 7-9 year old children (n = 304) participating in a tutoring or mentoring program in St. Louis, MO. Using a 28-item food frequency questionnaire, parents were asked to recall for their child how often foods were eaten the past 7 days. This questionnaire was repeated eight months later (response rate 84%). T-test analyses are used to determine mean serving differences from baseline to post test. RESULTS: The mean serving differences from baseline to post test were significant for moderately eaten fruits (p < .001), however, not for vegetables (p = .312). Among the intervention group, significantly more children ate grapes (p < .001), peaches (p = .022), cantaloupe (p < .001), and spinach (p = .044) at post testing - all identified as changeable with information tailored to participants. CONCLUSION: Data driven, food focused interventions directed at a priority population are feasible and practical. An empirical evaluation of the assumptions associated with these methods supports this novel approach. However, results may indicate that these methods may be more relevant to fruits than vegetables. This process can be applied to diverse populations for many dietary outcomes. Intervention strategies that target only those changeable fruits and vegetables are innovative and warrant further study.

Behavior Therapy↗

PubMed2005

A multilevel ecological approach to promoting walking in rural communities.

BACKGROUND: Walking is a key focus of public health interventions yet is particularly uncommon in rural residents. This study's purpose was to determine whether a multilevel community intervention affected rates of moderate physical activity, in particular walking. METHODS: A quasi-experimental design examined changes in walking in six rural intervention communities in Missouri and six comparison communities in Arkansas and Tennessee in 2003-2004. Interventions were developed with community input and included individually tailored newsletters; interpersonal activities that stressed social support and health provider counseling; and community-wide events such as fun walks. A dose variable estimated exposure to intervention activities. Primary outcomes were rates of walking and moderate physical activity in the past week. RESULTS: At follow-up (n = 1531), the percentage of respondents who met the recommendation for walking was the same across the intervention and comparison areas. Among the dependent variables, walking showed some evidence of a positive linear trend across dose categories (P = 0.090). After adjusting for covariates and baseline rates, intervention participants in the moderate and high dose categories were about three times more likely to meet recommended guidelines for walking. CONCLUSIONS: Some evidence of effectiveness was shown for a multilevel intervention approach to promote walking.

Adolescent↗

PubMed2005

Prevention Research Centers: contributions to updating the public health workforce through training.

Because public health is a continually evolving field, it is essential to provide ample training opportunities for public health professionals. As a natural outgrowth of the Centers for Disease Control and Prevention's Prevention Research Centers Program, training courses of many types have been developed for public health practitioners working in the field. This article describes three of the Prevention Research Center training program offerings: Evidence-Based Public Health, Physical Activity and Public Health for Practitioners, and Social Marketing. These courses illustrate the commitment of the Prevention Research Centers Program to helping create a better trained public health workforce, thereby enhancing the likelihood of improving public health.

Centers for Disease Control and Prevention, U.S.↗

PubMed2005

Perceived and objective environmental measures and physical activity among urban adults.

BACKGROUND: Enhancing community environments to support walking and bicycling serves as a promising approach to increase population levels of physical activity. However, few studies have simultaneously assessed perceptions and objectively measured environmental factors and their relative association with transportation or recreational physical activity. METHODS: For this cross-sectional study, high- and low-income study areas were selected among census tracts in St. Louis MO ("low-walkable" city) and Savannah GA ("high-walkable" city). Between February and June 2002, a telephone survey of 1068 adults provided measures of the perceived environment and physical activity behavior. In this timeframe, objective measures were collected through environmental audits of all street segments (n =1158). These measures were summarized using 400-m buffers surrounding each respondent. Neighborhood characteristics included the land use environment, transportation environment, recreational facilities, aesthetics, and social environment. Associations were examined between neighborhood features and transportation- and recreation-based activity. RESULTS: After adjusting for age, gender, and education, transportation activity was negatively associated with objective measures of sidewalk levelness and perceived and objective neighborhood aesthetics. It was positively associated with perceived and objectively measured number of destinations and public transit, perceived access to bike lanes, and objective counts of active people in the neighborhood. Recreational activity was positively associated with perceived access to recreational facilities and objective measures of attractive features. CONCLUSIONS: These findings indicate that physical activities for transportation or recreational are associated with different perceived and objective environmental characteristics. Modifications to these features may change the physical activity behavior of residents exposed to them.

Adolescent↗