Katie M. Heinrich

Exploring the Distribution of Park Availability, Features, and Quality Across Kansas City, Missouri by Income and Race/Ethnicity: an Environmental Justice Investigation

BackgroundParks are key community assets for physical activity, but some evidence suggests these resources are not equitably distributed.PurposeThis study examined disparities by income and race/ethnicity in the availability, features, and quality of parks across Kansas City, Missouri.MethodsAll parks and census tracts (CTs) were mapped using geographical information systems, and park features and quality were determined via audits. Multivariate analyses of covariance analyzed differences in park availability, features, and quality across low-, medium-, and high-income and race/ethnicity CT tertiles.ResultsLow-income CTs contained significantly more parks, but also had fewer parks with playgrounds and more quality concerns per park. High minority CTs had more parks with basketball courts, but fewer parks with trails. Medium-income CTs contained more aesthetic features per park.ConclusionsFuture research should examine policies that contribute to and that might rectify disparities in park features and quality, especially in low-income and high minority areas.

How Does the Built Environment Relate to Body Mass Index and Obesity Prevalence Among Public Housing Residents

Purpose. This study examined associations of environmental variables with obesity prevalence and individual body mass index (BMI) among impoverished residents of public housing developments. Design. Cross-sectional data were drawn from two studies in the same Midwestern metropolitan area of participants within neighborhoods. Setting. Pathways to Health interviewed housing development residents and Understanding Neighborhood Determinants of Obesity assessed built environment factors in the surrounding neighborhoods (i.e., 800–m radius from center of housing development). Subjects. Four hundred twenty-one residents participated (mean age = 43.8 years; 72.0% women, 59.6% high school degree, 79.6% African-American). Fifty-five physical activity resources were identified and assessed. Measures. Demographics and measured weights and heights were obtained for participants. The Physical Activity Resource Assessment measured the type, accessibility, features, amenities, qualities, and incivilities of neighborhood physical activity resources. Neighborhood street connectivity was also measured. Results. Average age-adjusted BMI was 31.4 (SD = 1.3), with 45% of residents obese. High negative correlations were found between BMI and street connectivity (p = .05) and between obesity prevalence and resource accessibility (p = .09), number of amenities (p = .04), and amenity quality (p = .04). Higher resource accessibility, feature quality, number of amenities, and fewer incivilities per resource accounted for 71% of obesity variance (p < .05). Male gender and higher feature quality, F(11, 407)37.19 and 12.66, p < .001, predicted lower BMI among residents. Conclusion. Supportive neighborhood environments were related to lower obesity prevalence and lower BMI among residents.

Associations between the built environment and physical activity in public housing residents

BackgroundEnvironmental factors may influence the particularly low rates of physical activity in African American and low-income adults. This cross-sectional study investigated how measured environmental factors were related to self-reported walking and vigorous physical activity for residents of low-income public housing developments.MethodsPhysical activity data from 452 adult residents residing in 12 low-income housing developments were combined with measured environmental data that examined the neighborhood (800 m radius buffer) around each housing development. Aggregated ecological and multilevel regression models were used for analysis.ResultsParticipants were predominately female (72.8%), African American (79.6%) and had a high school education or more (59.0%). Overall, physical activity rates were low, with only 21% of participants meeting moderate physical activity guidelines. Ecological models showed that fewer incivilities and greater street connectivity predicted 83% of the variance in days walked per week, p < 0.001, with both gender and connectivity predicting days walked per week in the multi-level analysis, p < 0.05. Greater connectivity and fewer physical activity resources predicted 90% of the variance in meeting moderate physical activity guidelines, p < 0.001, and gender and connectivity were the multi-level predictors, p < 0.05 and 0.01, respectively. Greater resource accessibility predicted 34% of the variance in days per week of vigorous physical activity in the ecological model, p < 0.05, but the multi-level analysis found no significant predictors.ConclusionThese results indicate that the physical activity of low-income residents of public housing is related to modifiable aspects of the built environment. Individuals with greater access to more physical activity resources with fewincivilities, as well as, greater street connectivity, are more likely to be physically active.

A Picture of the Healthful Food Environment in Two Diverse Urban Cities

Background Local food environments influence fresh produce purchase and consumption, and previous research has found disparities in local food environments by income and ethnicity. Other existing studies have begun to quantify the distribution of food sources, but there has been limited attention to important features or types of healthful food that are available or their quality or cost. Two studies assessed the type, quantity, quality and cost of healthful food from two diverse urban cities, Kansas City, Kansas and Missouri and Honolulu, Hawaii, and evaluated differences by neighborhood income and ethnic composition. Method A total of 343 food stores in urban neighborhoods were assessed using the one-page Understanding Neighborhood Determinants of Obesity (UNDO) Food Stores Assessment (FSA) measuring healthful foods. US Census data were used to define median household income and ethnic minority concentration. Results In Study 1, most low socioeconomic status (SES), high ethnic minority neighborhoods had primarily convenience, liquor or small grocery stores. Quality of produce was typically lower, and prices of some foods were more than in comparison neighborhoods. In Study 2, low SES neighborhoods had more convenience and grocery stores. Farmers’ markets and supermarkets had the best produce availability and quality, and farmers’ markets and pharmacies had the lowest prices. Conclusions Messages emphasizing eating more fruits and vegetables are not realistic in urban, low SES, high ethnic concentration neighborhoods. Farmers’ markets and supermarkets provided the best opportunities for fresh produce. Increasing access to farmers’ markets and supermarkets or reducing prices could improve the local food environment.

High-intensity compared to moderate-intensity training for exercise initiation, enjoyment, adherence, and intentions: an intervention study

BackgroundUnderstanding exercise participation for overweight and obese adults is critical for preventing comorbid conditions. Group-based high-intensity functional training (HIFT) provides time-efficient aerobic and resistance exercise at self-selected intensity levels which can increase adherence; behavioral responses to HIFT are unknown. This study examined effects of HIFT as compared to moderate-intensity aerobic and resistance training (ART) on exercise initiation, enjoyment, adherence, and intentions.MethodsA stratified, randomized two-group pre-test posttest intervention was conducted for eight weeks in 2012 with analysis in 2013. Participants (n = 23) were stratified by median age (< or ≥ 28) and body mass index (BMI; < or ≥ 30.5). Participants were physically inactive with an average BMI of 31.1 ± 3.5 kg/m2, body fat percentage of 42.0 ± 7.4%, weight of 89.5 ± 14.2 kg, and ages 26.8 ± 5.9 years. Most participants were white, college educated, female, and married/engaged. Both groups completed 3 training sessions per week. The ART group completed 50 minutes of moderate aerobic exercise each session and full-body resistance training on two sessions per week. The HIFT group completed 60-minute sessions of CrossFit™ with actual workouts ranging from 5–30 minutes. Participants completed baseline and posttest questionnaires indicating reasons for exercise initiation (baseline), exercise enjoyment, and exercise intentions (posttest). Adherence was defined as completing 90% of exercise sessions. Daily workout times were recorded.ResultsParticipants provided mostly intrinsic reasons for exercise initiation. Eighteen participants adhered (ART = 9, 81.8%; HIFT = 9, 75%). HIFT dropouts (p = .012) and ART participants (p = .009) reported lower baseline exercise enjoyment than HIFT participants, although ART participants improved enjoyment at posttest (p = .005). More HIFT participants planned to continue the same exercise than ART participants (p = .002). No significant changes in BMI or body composition were found. Workouts were shorter for HIFT than ART (p < .001).ConclusionsHIFT participants spent significantly less time exercising per week, yet were able to maintain exercise enjoyment and were more likely to intend to continue. High-intensity exercise options should be included in public health interventions.Trial registrationClinicalTrials.gov Identifier: http://NCT02185872. Registered 9 July 2014.

Mission essential fitness: comparison of functional circuit training to traditional Army physical training for active duty military.

Appropriate and effective physical fitness training is imperative for soldier survival and mission success. The purpose of this study was to determine the effects of Mission Essential Fitness (MEF) circuit-style training program compared to standard Army Physical Readiness Training (APRT) on fitness, physiological, and body composition changes. Active duty Army personnel were randomly assigned to two groups (MEF = 34 or APRT = 33) for 8 weeks of training (15 sessions each). The MEF program included functional movements focused on strength, power, speed, and agility. Fifteen exercises were performed continuously for 60 to 90 seconds for 45 minutes. Baseline and post-test measures included the Army physical fitness test, physiological indicators, body composition, and additional fitness indicators. One-way analysis of covariance models indicated that MEF participants significantly increased their push-ups (p = 0.033), bench press (p = 0.001), and flexibility (p = 0.003) and significantly decreased their 2-mile run (p = 0.003) and step test heart rate (p = 0.004) compared to participants doing APRT. Both groups maintained body composition (p > 0.05) and reported no injuries. The MEF training program safely improved muscular strength and endurance, cardiovascular endurance, and flexibility, supporting functional fitness circuit-style exercise training for military personnel.

Obesity Classification in Military Personnel: A Comparison of Body Fat, Waist Circumference, and Body Mass Index Measurements

OBJECTIVE The purpose of this study was to evaluate obesity classifications from body fat percentage (BF%), body mass index (BMI), and waist circumference (WC). METHODS A total of 451 overweight/obese active duty military personnel completed all three assessments. RESULTS Most were obese (men, 81%; women, 98%) using National Institutes of Health (NIH) BF% standards (men, >25%; women, >30%). Using the higher World Health Organization (WHO) BF >35% standard, 86% of women were obese. BMI (55.5% and 51.4%) and WC (21.4% and 31.9%) obesity rates were substantially lower for men and women, respectively (p < 0.05). BMI/WC were accurate discriminators for BF% obesity (theta for all comparisons >0.75, p < 0.001). Optimal cutoff points were lower than NIH/WHO standards; WC = 100 cm and BMI = 29 maximized sensitivity and specificity for men, and WC = 79 cm and BMI = 25.5 (NIH) or WC = 83 cm and BMI = 26 (WHO) maximized sensitivity and specificity for women. CONCLUSIONS Both WC and BMI measures had high rates of false negatives compared to BF%. However, at a population level, WC/BMI are useful obesity measures, demonstrating fair-to-high discriminatory power.

Physical Activity-Related Policy and Environmental Strategies to Prevent Obesity in Rural Communities: A Systematic Review of the Literature, 2002-2013

Introduction Health disparities exist between rural and urban residents; in particular, rural residents have higher rates of chronic diseases and obesity. Evidence supports the effectiveness of policy and environmental strategies to prevent obesity and promote health equity. In 2009, the Centers for Disease Control and Prevention recommended 24 policy and environmental strategies for use by local communities: the Common Community Measures for Obesity Prevention (COCOMO); 12 strategies focus on physical activity. This review was conducted to synthesize evidence on the implementation, relevance, and effectiveness of physical activity–related policy and environmental strategies for obesity prevention in rural communities. Methods A literature search was conducted in PubMed, PsycINFO, Web of Science, CINHAL, and PAIS databases for articles published from 2002 through May 2013 that reported findings from physical activity–related policy or environmental interventions conducted in the United States or Canada. Each article was extracted independently by 2 researchers. Results Of 2,002 articles, 30 articles representing 26 distinct studies met inclusion criteria. Schools were the most common setting (n = 18 studies). COCOMO strategies were applied in rural communities in 22 studies; the 2 most common COCOMO strategies were “enhance infrastructure supporting walking” (n = 11) and “increase opportunities for extracurricular physical activity” (n = 9). Most studies (n = 21) applied at least one of 8 non-COCOMO strategies; the most common was increasing physical activity opportunities at school outside of physical education (n = 8). Only 14 studies measured or reported physical activity outcomes (10 studies solely used self-report); 10 reported positive changes. Conclusion Seven of the 12 COCOMO physical activity–related strategies were successfully implemented in 2 or more studies, suggesting that these 7 strategies are relevant in rural communities and the other 5 might be less applicable in rural communities. Further research using robust study designs and measurement is needed to better ascertain implementation success and effectiveness of COCOMO and non-COCOMO strategies in rural communities.

Obesity, Physical Activity, and Sedentary Behavior of Youth With Learning Disabilities and ADHD

Obesity, physical activity, and sedentary behavior in childhood are important indicators of present and future health and are associated with school-related outcomes such as academic achievement, behavior, peer relationships, and self-esteem. Using logistic regression models that controlled for gender, age, ethnicity/race, and socioeconomic status, we investigated the likelihood that youth with learning disabilities (LD) and attention-deficit/hyperactivity disorder (ADHD) are obese, physically active, and sedentary using a nationally representative sample of 45,897 youth in the United States from 10 to 17 years of age. Results indicated that youth with comorbid LD/ADHD were significantly more likely than peers without LD or ADHD to be obese; that youth with LD only, ADHD only, and comorbid LD/ADHD were significantly less likely to meet recommended levels of physical activity; and that youth with LD only were significantly more likely to exceed recommended levels of sedentary behavior. Medication status mediated outcomes for youth with ADHD. We offer school-based recommendations for improving health-related outcomes for students with LD and ADHD.

Obesogenic and Youth Oriented Restaurant Marketing in Public Housing Neighborhoods

OBJECTIVES To compare restaurant marketing by restaurant and neighborhood type. METHODS All restaurants (61=fast food, FF; 72=table service, TS) within an 800-meter radius of 13 public housing developments (HD) and 4 comparison neighborhoods were audited using the Restaurant Assessment Tool©2010. HD neighborhoods were lower income and higher minority than comparison neighborhoods with similar density and street connectivity. RESULTS Restaurants in HD neighborhoods had fewer healthy entrées than comparison neighborhoods. FF restaurants had cheaper beverages and more childrens meals, supersize drinks, free prize with purchase, super-size items, special characters, and more items geared to driving than TS restaurants. CONCLUSIONS Residents of lower socioeconomic neighborhoods may be differentially exposed to unhealthy food options.