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Biomedical subjects

Ross C Brownson

Publications and source records attributed to Ross C Brownson.

At least 19 recordsLinked to original sources

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↗

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↗

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↗

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↗

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↗

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↗

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.↗

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↗

Teaching evidence-based public health to public health practitioners.

PURPOSE: The purpose of the Evidence Based Public Health (EBPH) course is to train public health practitioners to utilize a comprehensive approach for program development and evaluation from a scientific perspective, including principles of scientific reasoning and systematic uses of data and information systems. The increasing technical sophistication of public health problems and approaches emphasizes the importance for an evidence-based approach to developing policy and interventions. METHODS: The training methods used highlight the linkages between data systems and program/policy initiatives. Participants learn to access and interpret existing data systems and methods of using data to impact specific policies or decision-makers. From 1992 through mid-2004 the EBPH course was offered a total of 20 times, in Missouri, nationally and internationally. In March 2002, the workshop was taped and pressed into a 16-CD set that public health workers can use as a self-teaching program in their own homes and offices. The group exercises from the classroom workshop have been adapted into individual self-guided applications, and background readings are included in the set. RESULTS: Compiled results of course evaluations indicate average ratings for course satisfaction ranging from 8.50 to 10.00 on a scale from 1 to 10. Satisfaction with course instructors ranged between 8.00 and 10.00 on the same scale. Ninety-four to ninety-six per cent of participants reported that they would use the course in their day-to-day work. Qualitative comments from participants at the time of and after the course show that the material is applied in a variety of ways. CONCLUSIONS: The EBPH course is making a valuable contribution in strengthening the application of scientific methods to public health practice. To expand the offerings of this training, a train-the-trainer component for the EBPH course is being developed, to be made available in 2005.

Curriculum↗

Intermediate term biochemical progression rates after radical prostatectomy and radiotherapy in patients with screen detected prostate cancer.

PURPOSE: We compared biochemical progression rates measured by increasing prostate specific antigen (PSA) levels using a standard definition of biochemical recurrence among patients with screen detected prostate cancer treated with radical prostatectomy (RP) or radiotherapy (RT). MATERIALS AND METHODS: A total of 1,939 patients diagnosed with clinically localized prostate cancer in a community based screening study from 1989 to 1998, followed through 2001, were treated with RP or RT and agreed to enroll in a followup study. This prospective cohort study (median followup 62 months, range 0.2 to 141) used adjusted Cox proportional hazards models to examine time to progression. Selection bias was addressed with propensity scores. Biochemical evidence of cancer progression was defined as PSA greater than 0.2 ng/ml in patients who underwent RP and 3 consecutive PSA increases as recommended by the American Society for Therapeutic Radiology and Oncology criteria for radiotherapy. RESULTS: Of the patients 17% had evidence of cancer progression. The percentage with progression-free survival at 5 and 9 years for RP was 84% and 76%, respectively, and for RT 80% and 70%, respectively. Cox proportional hazards models produced a hazard ratio of 1.63 (95% CI, 1.12, 2.38) for RT compared with RP, adjusting for clinical stage, Gleason grade, preoperative PSA, biopsy age, treatment year and propensity for treatment type. CONCLUSIONS: With intermediate term followup, patients treated with RT were more likely to have cancer progression than with RP adjusting for demographics, clinical factors, selection bias and treatment year.

Adult↗

A multilevel analysis of change in neighborhood walking activity in older adults.

The article reports on a multilevel analysis conducted to examine change in neighborhood walking activity over a 12-month period in a community-based sample of 28 neighborhoods of 303 older adults age 65 and over. The study employed a multilevel (residents nested within neighborhoods) and longitudinal (4 repeated measures over 1 year) design and a multilevel analysis of change and predictors of change in neighborhood walking activity. Results indicated a significant neighborhood effect, with neighborhood-level walking characterized by a downward trajectory over time. Inclusion of baseline variables using selected perceived neighborhood-level social- and physical-environment measures indicated that neighborhoods with safe walking environments and access to physical activity facilities had lower rates of decline in walking activity. The findings provide preliminary evidence of neighborhood-level change and predictors of change in walking activity in older adults. They also suggest the importance of analyzing change in physical activity in older adults from a multilevel or macrolevel framework.

Aged↗

Multilevel modelling of built environment characteristics related to neighbourhood walking activity in older adults.

OBJECTIVE: To examine the relation between built environment factors (representing several dimensions of urban form of neighbourhoods) and walking activity at both the neighbourhood level and the resident level, in an older adult sample. DESIGN, SETTING, PARTICIPANTS: A cross sectional, multilevel design with neighbourhoods as the primary sampling unit and senior residents as the secondary unit. Five hundred and seventy seven residents (mean age = 74 years, SD = 6.3 years) participated in the survey, which was conducted among 56 city defined neighbourhoods in Portland, Oregon, USA. Neighbourhood level variables were constructed using geographical information systems. Resident level variables consisted of a mix of self reports and geocoded data on the built environment. MAIN OUTCOME MEASURE: Self reported neighbourhood walking. MAIN RESULTS: A positive relation was found between built environment factors (density of places of employment, household density, green and open spaces for recreation, number of street intersections) and walking activity at the neighbourhood level. At the resident level, perceptions of safety for walking and number of nearby recreational facilities were positively related to high levels of walking activity. A significant interaction was observed between number of street intersections and perceptions of safety from traffic. CONCLUSIONS: Certain neighbourhood built environment characteristics related to urban form were positively associated with walking activity in the neighbourhoods of senior residents. Public health promotion of walking activity/urban mobility and the design of interventions need to consider the contribution of neighbourhood level built environment influences.

Aged↗

Declining rates of physical activity in the United States: what are the contributors?

This review describes current patterns and long-term trends (up to 50 years when possible) related to (a) physical activity, (b) employment and occupation, (c) travel behavior, (d) land use, and (e) related behaviors (e.g., television watching). On the basis of available data, the following trends were observed according to type of physical activity: relatively stable or slightly increasing levels of leisure-time physical activity, declining work-related activity, declining transportation activity, declining activity in the home, and increasing sedentary activity. These result in an overall trend of declining total physical activity. Large differences were noted in the rates of walking for transportation across metropolitan statistical areas. A strong linear increase existed in vehicle miles traveled per person over the past half century, coupled with a strong and consistent trend toward Americans living in suburbs. Although it is difficult to precisely quantify owing to the lack of long-term data, it is apparent that a combination of changes to the built environment and increases in the proportion of the population engaging in sedentary activities put the majority of the American population at high risk of physical inactivity.

Adolescent↗

Children's physical activity: using accelerometers to validate a parent proxy record.

INTRODUCTION: The purpose of this study was to validate a parent proxy record of children's physical activity with CSA Model 7164 accelerometers. METHODS: A parent proxy record was developed to record children's activity after school on weekdays and all day long on weekends for 7 d. Parents recorded both duration and intensity of activity (light, medium, hard and very hard). Children simultaneously wore a CSA-7164 accelerometer around their right hip, which served as the objective measurement against which the proxy record was validated. Sixty-five parent/child dyads participated in the study. RESULTS: The overall activity level of the children was low (<3 METs). Spearman-rho analyses indicated that the accelerometer and proxy record showed poor to fair agreement for the entire monitoring period, with parents consistently overreporting their child's activity levels. Correlation between the two instruments was highest at midday on weekends (0.383) and immediately after school on weekdays (0.267). CONCLUSION: Due to the low correlation between this proxy record and the accelerometer, the need still exists for a valid measurement of child physical activity that is both inexpensive and easy to employ in larger community-based interventions.

Child↗

Correlates of physical activity among pregnant women in the United States.

INTRODUCTION: Physical activity recommendations for pregnant and nonpregnant women have been issued, but little data exist to compare the extent that these women are meeting the recommendation levels. METHODS: A population-based, cross-sectional study using data from the 1994, 1996, 1998, and 2000 Behavioral Risk Factor Surveillance System evaluated the physical activity recommendations met by pregnant and nonpregnant women. The study population included women who were 18-44 yr of age. Random digit dialing, telephone surveys were used to assess all information. Pregnant and nonpregnant women were categorized into five mutually exclusive groups based upon their level of physical activity in the past month: vigorous activity (meeting guidelines) moderate activity (meeting guidelines), moderate or vigorous activity (not meeting guidelines), irregular activity, or no physical activity. RESULTS: Nonpregnant women were more likely than pregnant women to meet the vigorous or moderate physical activity recommendations. Walking was the most common activity among pregnant and nonpregnant women (52 and 45%, respectively). Pregnant women meeting the moderate or vigorous physical activity recommendations were more likely to be younger, nonhispanic white, more educated, not married, nonsmokers, and to have higher incomes. CONCLUSION: Many pregnant women do not appear to be meeting the physical activity recommendations. Healthcare providers should further encourage the promotion of physical activity during uncomplicated pregnancies.

Adolescent↗

Environmental correlates of physical activity among individuals with diabetes in the rural midwest.

OBJECTIVE: To determine the relationship between physical and social environment attributes and levels of physical activity in a population-based sample of diabetic individuals living in rural areas. RESEARCH DESIGN AND METHODS: Cross-sectional telephone survey data from rural communities of southeastern Missouri, Tennessee, and Arkansas were used. Logistic regression was used to calculate crude and adjusted prevalence odds ratios (PORs) and 95% CIs. RESULTS: A total of 278 (11%) individuals with diabetes were identified. Almost 37% of this group reported no leisure-time physical activity. Individuals with diabetes who reported regular physical activity were more likely to report better general health status, normal BMI, and no physical impairment. After adjustment, regular activity was positively associated with use of three or more facilities (POR 14.3, 95% CI 3.0-67.3) in the past 30 days, the availability of many nearby places to walk (2.3, 1.1-4.8), the availability of shoulders on streets (2.4, 1.3-4.5), often walking to nearby places (4.1, 2.0-8.3), and rating the community for physical activity as generally pleasant (2.3, 1.1-4.8). Additionally, the regular activity group was more likely to report their physician had helped make a plan to increase physical activity (2.8, 1.3-5.8) and followed up on their plan (2.2, 1.1-4.4). Social environment variables were not associated with physical activity after adjustment. CONCLUSIONS: Physical inactivity is a significant problem in rural diabetic populations. We have identified aspects of the social and physical environment that are positively associated with physical activity. Understanding the role of the environment may result in increased physical activity for individuals with diabetes.

Adult↗

A community-based approach to promoting walking in rural areas.

BACKGROUND: Ecologic models are often recommended to promote physical activity, yet sparse data exist on their effectiveness. DESIGN: A quasi-experimental design examined changes in walking behavior in six rural intervention communities in the Missouri "bootheel" region and in six comparison communities in Arkansas and Tennessee. SETTING/ PARTICIPANTS: The communities ranged in population from 2399 to 17,642; interventions focused on adults aged >/=18 years. INTERVENTION: Interventions were developed with community input and included individually tailored newsletters, interpersonal activities that stressed social support, and community-wide events such as walk-a-thons. MAIN OUTCOME MEASURES: Primary outcomes were rates of walking-trail use, total number of minutes walked in the past week, and total minutes walked for exercise. RESULTS: Among persons who used trails at baseline (16.9% of the total population), 32.1% reported increases in physical activity since they began using the trail. From community-wide samples, two subgroups indicated a positive net change in rates of 7-day total walking: people with high school degrees or less and people living in households with annual incomes of <==$20,000. However, no studied group showed a statistically significant net intervention effect. CONCLUSIONS: Although there was an increase in the rate of walking-trail use, a community-wide change in walking rates in rural communities was not documented. Results of this study should provide guidance for future projects.

Adolescent↗