Exploratory Decision Trees to Predict Obesity Intervention Response among Hispanic American Youth.

Introduction: Individual variability in weight-related outcomes from obesity intervention is widely acknowledged, yet infrequently addressed. This study takes a first step to address individual variation by determining characteristics that distinguish responsive (improvements in BMI) from unresponsive individuals. Methods: Classification regression tree (CRT) analysis grouped 185 low-income, Hispanic American middle school students who received a school-based obesity intervention. Predictors included baseline age, gender, standardized BMI, health-related quality of life (PedsQL), minutes of moderate-vigorous physical activity (MVPA; accelerometry), energy consumption, and dietary quality (Block Kids 2004 Food Frequency Questionnaire). Response regarding weight-related outcomes to the intervention was defined according to the American Academy of Pediatrics (AAP) guidelines. Six trees were produced, one for 3- and one for 6-month outcomes among all participants, participants with healthy weight status, and participants with overweight/obesity at baseline. Results: The AAP criteria for response were met by 57.3% and 35.1% of participants at 3 and 6 months, respectively. CRT produced six unique trees. Notably, minutes of MVPA appeared twice (the first time at the top of the tree) in most 3-month models. In addition, response at 3 months consistently appeared as the first variable in all the 6-month models. Conclusions: Overall, the number of distinct pathways and the repeated appearance of the same variable within a pathway illustrate the complex, interactive nature of factors predicting an intervention response. Initially unresponsive individuals were unlikely to respond later in the intervention. More complex modeling is needed to better understand how to best predict who will be responsive to interventions.

Harmonizing Ratings From Different School Environment Assessment Methods: A Simplified Approach.

BACKGROUND: This study describes a method for harmonizing data collected with different tools to compute a rating of compliance with national recommendations for school physical activity (PA) and nutrition environments. METHODS: We reviewed questionnaire items from 84 elementary schools that participated in the Childhood Obesity Research Demonstration (CORD) project, which was 3 distinct childhood obesity prevention projects in 7 communities in California, Massachusetts, and Texas. Each project used tools specific to its programs, schools, and communities. While this approach increased the feasibility of data collection, it created a challenge with the need to combine data across projects. We evaluated all questionnaire items and retained only those items that assessed one or more recommendations and constructed several items to indicate compliance or noncompliance with the respective associated recommendations. RESULTS: Ten constructed items covered 11 of the 20 recommendations. Analysis indicated that the scores detected variability in compliance both among communities and among school within communities. CONCLUSIONS: The scores captured differences in compliance with the national recommendations at multiple levels. Our method, designed for creating common scores, may be useful in integrated data analysis, systematic reviews, or future studies requiring harmonizing of data collected via different tools.

Psychometric properties of the Food Environment Assessment Survey Tool (FEAST) in people with mobility impairment.

OBJECTIVE: Approximately one in ten adults under the age of 65 in the USA has a mobility impairing disability. People with mobility impairment generally have poorer dietary habits contributing to obesity and related negative health outcomes. This article presents the psychometric properties of the Food Environment Assessment Survey Tool (FEAST) instrument that measures barriers to accessing healthy food from the perspective of people with mobility impairment (PMI). DESIGN: The current study presents cross-sectional data from two sequential independent surveys. SETTING: Surveys were administered online to a national sample of PMI. PARTICIPANTS: Participants represented PMI living throughout the USA. The pilot FEAST survey involved 681 participants and was used to shape the final instrument; 25 % completed a retest survey. After following empirically and theoretically guided item reduction strategies, the final FEAST instrument was administered to a separate sample of 304 PMI. RESULTS: The final twenty-seven-item FEAST instrument includes items measuring Neighbourhood Environment, Home Environment, Personal Control and Access to Support (Having Help, Food Delivery Services, Parking/Transportation). The final four scales had acceptable intra-class correlations, indicating that the scales could be used as reliable measures of the hypothesised constructs in future studies. CONCLUSIONS: The FEAST instrument is the first of its kind developed to assess the food environment from the perspective of PMI themselves. Future studies would benefit from using this measure in research and practice to help guide the development of policy aimed at improving access to healthy food and promoting healthy eating in community-dwelling PMI.

Evaluation of the Role of Leisure Time Physical Activity and Sedentary Behavior Simultaneously on the Income-Overweight/Obesity Relationship.

In the United States, overweight/obesity is more prevalent among those with low-income; higher income is related to greater leisure time physical activity (LTPA) and sedentary behavior (SB), which are inversely related to overweight/obesity. This study aimed to evaluate the role of LTPA and SB simultaneously in the income-overweight/obesity relationship. Cross-sectional data from the National Health and Nutrition Examination Survey (2007-2014) were utilized (n = 10,348 non-older adults (aged 20-59 years)). A multiple mediator structural equation model was conducted to evaluate the indirect effects from income to overweight/obesity (Body Mass Index ≥25 kg/m2) through LTPA and SB simultaneously, controlling for confounding variables, including diet, smoking, and alcohol consumption. As expected, greater income was negatively associated with overweight/obesity. Income indirectly influenced overweight/obesity through LTPA (Indirect effect: B = -0.005; CI = -0.01, -0.003), and through SB (Indirect effect: B = 0.008; CI = 0.005, 0.01), in opposing directions. The direct effect from income to overweight/obesity remained statistically significant. LTPA partially accounted for the negative relationship between income and overweight/obesity; SB reduced the strength of the negative relationship between income and overweight/obesity. Targeted behavior approaches for weight management may be beneficial. Increasing LTPA among adults with lower income and decreasing SB among adults with higher income may provide some overweight/obesity protection.

Organizational Characteristics and Readiness for Tobacco-Free Workplace Program Implementation Moderates Changes in Clinician's Delivery of Smoking Interventions within Behavioral Health Treatment Clinics.

BACKGROUND: Smoking is elevated amongst individuals with behavioral health disorders, but not commonly addressed. Taking Texas Tobacco Free is an evidence-based, tobacco-free workplace program that addresses this, in-part, by providing clinician training to treat tobacco use in local mental health authorities (LMHAs). This study examined organizational moderators of change in intervention delivery from pre- to post-program implementation. METHODS: LMHA leaders completed the Organizational Readiness for Implementing Change (ORIC) and provided organization demographics pre-implementation. Clinicians (N = 1237) were anonymously surveyed about their consistent use of the 5As (Asking about smoking; Advising clientele to quit; Assessing willingness to quit; Assisting them to quit; Arranging follow-up) pre- and post-program implementation. Adjusted generalized linear mixed models were used for analyses (responses nested within LMHAs), with interaction terms used to assess moderation effects. RESULTS: Clinician delivery of 5As increased pre- to post-implementation (p < .001). LMHAs with fewer employees (ref = ≤300) demonstrated greater increases in Asking, Assessing, and Assisting over time. LMHAs with fewer patients (ref = ≤10 000) evinced greater changes in Asking over time. Less initial ORIC Change Efficacy, Change Commitment, and Task Knowledge were each associated with greater pre- to post-implementation changes in Asking. Less initial Task Knowledge was associated with greater increases in Advising, Assessing, and Assisting. Finally, less initial Resource Availability was associated with greater increases in Assisting (all moderation term ps < .025). CONCLUSION: The smallest and least ready LMHAs showed the largest gains in tobacco cessation intervention delivery; thus, low initial readiness was not a barrier for program implementation, particularly when efficacy-building training and resources are provided. IMPLICATIONS: This study examined organizational moderators of increases in tobacco cessation treatment delivery over time following the implementation of a comprehensive tobacco-free workplace program within 20 of 39 LMHAs across Texas (hundreds of clinics; servicing >50% of the state) from 2013 to 2018. Overall, LMHAs with fewer employees and patients, and that demonstrated the least initial readiness for change, evinced greater gains in intervention delivery. Findings add to dissemination and implementation science by supporting that low initial readiness was not a barrier for this aspect of tobacco-free workplace program implementation when resources and clinician training sessions were provided.

Developing Content for the Food Environment Assessment Survey Tool (FEAST): A Systematic Mixed Methods Study with People with Disabilities.

Almost 1 in every 8 adults in the U.S. have a physical disability that impairs mobility. This participatory project aimed to identify and describe environmental and personal barriers to healthy eating among people with mobility impairments using a rigorous, structured mixed methodology. Community-dwelling adults with a self-reported mobility impairment (N = 20, M = 40.4 years old, 60% female) participated in nominal group technique focus groups. The Ecologic Model of Obesity grounded stimulus questions asked about barriers to obtaining and preparing healthy food. Participants emphasized common barriers across everyday settings-focusing, for example, on the ability to reach shelved food inside the home, navigating to and inside stores and restaurants, and using delivery services. Home environments often did not afford suitable spaces for food preparation and storage. Participants reported inadequate transportation and numerous additional barriers in many settings to be able to eat healthfully. Participants reported lack of accessible transportation and architectural barriers inside stores, restaurants, and their own homes, highlighting the need for efforts aimed at improving accessibility and usability. Findings support the use of the Ecologic Model of Obesity to guide research and suggest the need for improvement in assessment practices and policies that enhance access to healthy food.

Cross-Site Process Evaluation Results for the Early Childhood Education Center Setting: CORD Study.

Background: The Childhood Obesity Research Demonstration project aimed to deliver evidence-based obesity prevention interventions to at-risk families at three demonstration sites. The interventions were delivered in multiple settings, including early childhood education centers (ECECs), public schools, and primary care clinics. An evaluation center conducted cross-site process, impact, and sustainability evaluations. Results of the cross-site process evaluation for the ECECs will be described. Methods: Reach (proportion of the target population who participated), dose delivered (materials and interventions that were distributed), and fidelity (proportion of planned intervention components delivered) were assessed at two levels (researcher-to-provider and provider-to-family levels). Standardized data forms were completed by research team members at each demonstration site with assistance from the evaluation center. Results: The Childhood Obesity Research Demonstration project reached 5174 children and 390 teachers in 58 ECECs. The centers delivered an average of 3.9 hours of training to teachers. A total of 1382 different types of materials were distributed to providers, and from 1.3 to 4.3 hours of technical support were delivered to centers monthly. For fidelity at the researcher-to-provider level, 49.5% (n = 370) of eligible teachers completed all training sessions. Considerable variations across demonstration sites in reach, dose delivered, and fidelity across were observed. Conclusion: The Childhood Obesity Research Demonstration project reached large numbers of children, families, teachers, and ECECs. Maintaining intervention fidelity while reaching large numbers of at-risk individuals proved to be a challenge.

The Effect of Exercise Training on Total Daily Energy Expenditure and Body Composition in Weight-Stable Adults: A Randomized, Controlled Trial.

BACKGROUND: The present study examined, among weight-stable overweight or obese adults, the effect of increasing doses of exercise energy expenditure (EEex) on changes in total daily energy expenditure (TDEE), total body energy stores, and body composition. METHODS: Healthy, sedentary overweight/obese young adults were randomized to one of 3 groups for a period of 26 weeks: moderate-exercise (EEex goal of 17.5 kcal/kg/wk), high-exercise (EEex goal of 35 kcal/kg/wk), or observation group. Individuals maintained body weight within 3% of baseline. Pre/postphysical activity between-group measurements included body composition, calculated energy intake, TDEE, energy stores, and resting metabolic rate. RESULTS: Sixty weight-stable individuals completed the protocols. Exercise groups increased EEex in a stepwise manner compared with the observation group (P < .001). There was no group effect on changes in TDEE, energy intake, fat-free mass, or resting metabolic rate. Fat mass and energy stores decreased among the females in the high-exercise group (P = .007). CONCLUSIONS: The increase in EEex did not result in an equivalent increase in TDEE. There was a sex difference in the relationship among energy balance components. These results suggest a weight-independent compensatory response to exercise training with potentially a sex-specific adjustment in body composition.

Do Neighborhood Physical Activity Resources and Land Use Influence Physical Activity among African American Public Housing Residents?

Few studies have examined neighborhood influences on physical activity (PA) among low-income African Americans living in public housing. This study measured the associations of PA resources and land use with PA among 216 African Americans living in 12 low-income housing developments in Houston, Texas. Neighborhood measures included both detailed information from in-person audits and geographic information systems (GIS) data. Hierarchical linear regression models tested the associations of neighborhood PA resource availability and quality and land use density and diversity with individual-level, self-reported PA. Land use diversity was positively associated with walking among men after controlling for other neighborhood characteristics. Policies that promote land use diversity or improve the pedestrian environment in areas with diverse destinations may encourage PA among public housing residents.

An exploratory decision tree analysis to predict cardiovascular disease risk in African American women.

OBJECTIVE: African American (AA) women are at greater risk for cardiovascular disease (CVD) compared to White women, which can be attributed to disparities in risk factors. The built environment may contribute to improving CVD risk factors by increasing physical activity (PA). This study used recursive partitioning, a multivariate decision tree risk classification approach, to determine which built environment characteristics contributed to the classification of AA women as having 4 or more CVD risk factors at optimal levels. METHOD: Recursive partitioning has the ability to detect interactions and does not have sample size limitations to detect effects. The Classification and Regression Trees (CR&T) growing method was used to group participants as having 4 or more versus 3 or fewer risk factors at optimal levels. Risk factors were smoking, body mass index (BMI), PA, healthy diet, cholesterol, glucose, and blood pressure. Built environment predictors were presence and quality of neighborhood PA resources (PARs), walkability, traffic safety, and crime. RESULTS: Participants (N = 30, mean age of 54.1 ± 7.5) all had at least 1 risk factor at the optimal level, none had all 7, and 66.7% had 4 or more risk factors at optimal levels. The CR&T identified participants with few, low-quality neighborhood PARs and who were older than 55 as least likely to have 4 or more CVD risk factors at optimal levels. CONCLUSION: Being younger than 55 years old and having many, high-quality neighborhood PARs may predict lower risk for CVD in AA women. Results should be used in future studies with larger sample sizes to inform logistic regression models. (PsycINFO Database Record

Development of the policy indicator checklist: a tool to identify and measure policies for calorie-dense foods and sugar-sweetened beverages across multiple settings.

OBJECTIVES: We developed the policy indicator checklist (PIC) to identify and measure policies for calorie-dense foods and sugar-sweetened beverages to determine how policies are clustered across multiple settings. METHODS: In 2012 and 2013 we used existing literature, policy documents, government recommendations, and instruments to identify key policies. We then developed the PIC to examine the policy environments across 3 settings (communities, schools, and early care and education centers) in 8 communities participating in the Childhood Obesity Research Demonstration Project. RESULTS: Principal components analysis revealed 5 components related to calorie-dense food policies and 4 components related to sugar-sweetened beverage policies. Communities with higher youth and racial/ethnic minority populations tended to have fewer and weaker policy environments concerning calorie-dense foods and healthy foods and beverages. CONCLUSIONS: The PIC was a helpful tool to identify policies that promote healthy food environments across multiple settings and to measure and compare the overall policy environments across communities. There is need for improved coordination across settings, particularly in areas with greater concentration of youths and racial/ethnic minority populations. Policies to support healthy eating are not equally distributed across communities, and disparities continue to exist in nutrition policies.

Childhood Obesity Research Demonstration project: cross-site evaluation methods.

INTRODUCTION: The Childhood Obesity Research Demonstration (CORD) project links public health and primary care interventions in three projects described in detail in accompanying articles in this issue of Childhood Obesity. This article describes a comprehensive evaluation plan to determine the extent to which the CORD model is associated with changes in behavior, body weight, BMI, quality of life, and healthcare satisfaction in children 2-12 years of age. DESIGN/METHODS: The CORD Evaluation Center (EC-CORD) will analyze the pooled data from three independent demonstration projects that each integrate public health and primary care childhood obesity interventions. An extensive set of common measures at the family, facility, and community levels were defined by consensus among the CORD projects and EC-CORD. Process evaluation will assess reach, dose delivered, and fidelity of intervention components. Impact evaluation will use a mixed linear models approach to account for heterogeneity among project-site populations and interventions. Sustainability evaluation will assess the potential for replicability, continuation of benefits beyond the funding period, institutionalization of the intervention activities, and community capacity to support ongoing program delivery. Finally, cost analyses will assess how much benefit can potentially be gained per dollar invested in programs based on the CORD model. CONCLUSIONS: The keys to combining and analyzing data across multiple projects include the CORD model framework and common measures for the behavioral and health outcomes along with important covariates at the individual, setting, and community levels. The overall objective of the comprehensive evaluation will develop evidence-based recommendations for replicating and disseminating community-wide, integrated public health and primary care programs based on the CORD model.

Does social support mediate the relationship among neighborhood disadvantage, incivilities, crime and physical activity?

OBJECTIVE: Neighborhood disadvantage (ND), incivilities, and crime disproportionately impact minority women, discouraging physical activity (PA). Social support (SS) is a cultural tool promoting PA in minority women. Socially supportive environments may promote PA in disadvantaged neighborhoods, yet few studies have investigated the mediating role of social support among minority women. This study examined SS as a mediator among ND, incivilities, crime, and PA. METHODS: The Health Is Power study aimed to increase PA in African American and Hispanic Latina women (N=410) in Houston and Austin, TX. ND and crime data were taken from the National Neighborhood Crime Study. Incivilities were measured using the Pedestrian Environment Data Scan (PEDS). SS was measured using the Family and Friend Support for Exercise Habits scale and physical activity was measured using the International Physical Activity Questionnaire. Linear regression analysis was used to examine SS as a mediator following the Baron and Kenny method. RESULTS: ND was negatively associated with PA and SS. SS was not a mediator as it was not significantly associated with ND, crime, and incivilities (F(3,264)=2.02, p>.05) or PA (F(1,266)=3.8 p=.052). CONCLUSION: ND significantly discourages PA and limits SS. Future research should focus on developing strategies to overcoming these negative environmental factors.

The association of binge eating and neighbourhood fast-food restaurant availability on diet and weight status.

OBJECTIVE: Fast-food restaurants (FFR) are prevalent. Binge eating is common among overweight and obese women. For women prone to binge eating, neighbourhood FFR availability (i.e. the neighbourhood around one's home) may promote poor diet and overweight/obesity. The present study tested the effects of binge eating and neighbourhood FFR availability on diet (fat and total energy intake) and BMI among African American and Hispanic/Latino women. DESIGN: All measures represent baseline data from the Health is Power randomized clinical trial. The numbers of FFR in participants' neighbourhoods were counted and dichotomized (0 or ≥1 neighbourhood FFR). Participants completed measures of binge eating status and diet. Weight and height were measured and BMI calculated. 2 (binge eating status) × 2 (neighbourhood FFR availability) ANCOVA tested effects on diet and BMI while controlling for demographics. SETTING: Houston and Austin, TX, USA. SUBJECTS: African American and Hispanic/Latino women aged 25-60 years. RESULTS: Of the total sample (n 162), 48 % had 1-15 neighbourhood FFR and 29 % were binge eaters. There was an interaction effect on BMI (P = 0·05). Binge eaters with ≥1 neighbourhood FFR had higher BMI than non-binge eaters or binge eaters with no neighbourhood FFR. There were no significant interactions or neighbourhood FFR main effects on total energy or fat intake (P > 0·05). A main effect of binge eating showed that binge eaters consumed more total energy (P = 0·005) and fat (P = 0·005) than non-binge eaters. CONCLUSIONS: Binge eaters represented a substantial proportion of this predominantly overweight and obese sample of African American and Hispanic/Latino women. The association between neighbourhood FFR availability and weight status is complicated by binge eating status, which is related to diet.

Ultrasound and clinical evaluation of soft-tissue versus hardware biceps tenodesis: is hardware tenodesis worth the cost?

This study assesses the failure rate of soft-tissue versus hardware fixation of biceps tenodesis by ultrasound to determine if the expense of a hardware tenodesis technique is warranted. Seventy-two patients that underwent arthroscopic biceps tenodesis over a 3-year period were evaluated using postoperative ultrasonography and clinical examination. The tenodesis technique employed was either a soft-tissue technique with sutures or an interference screw technique using hardware based on surgeon preference. Patient age was 57.9 years on average with ultrasound and clinical examination done at an average of 9.3 months postoperatively. Thirty-one patients had a hardware technique and 41 a soft-tissue technique. Overall, 67.7% of biceps tenodesis done with hardware were intact, compared with 75.6% for the soft-tissue technique by ultrasound (P = .46). Clinical evaluation indicated that 80.7% of hardware techniques and 78% of soft-tissue techniques were intact. Average material cost to the hospital for the hardware technique was $514.32, compared with $32.05 for the soft-tissue technique. Biceps tenodesis success, as determined by clinical deformity and ultrasound, was not improved using hardware as compared to soft-tissue techniques. Soft-tissue techniques are equally efficacious and more cost effective than hardware techniques.

Longitudinal cardiorespiratory fitness algorithms for clinical settings.

BACKGROUND: Non-exercise algorithms are cost-effective methods to estimate cardiorespiratory fitness (CRF) in healthcare settings. The limitation of current non-exercise models is that they were developed with cross-sectional data. PURPOSE: To extend the non-exercise research by developing algorithms for men and women using longitudinal data on indicators available in healthcare settings. METHODS: The sample included 1325 women (aged 20-78 years) and 10,040 men (aged 20-86 years) who completed two to 21 maximal treadmill tests between 1977 and 2005. The data were analyzed in 2011 and 2012. The dependent variable was CRF measured by treadmill test. The independent variables were age; body composition (percentage fat or BMI); waist circumference; self-reported physical activity; resting heart rate; and smoking behavior. RESULTS: Linear mixed-models regression showed that all variables were independently related to CRF. There was a positive association between CRF and physical activity. Higher levels of body composition were linked to lower CRF. High resting heart rate and smoking resulted in lower estimates of CRF. The error estimates of the percentage fat algorithms were as follows: women, 1.41 METs (95% CI=1.35, 1.47); and men, METs 1.54 (95% CI=1.51, 1.55). The BMI models were somewhat less accurate: women, METs 1.51 (95% CI=1.45, 1.58); and men, 1.66 METs (95% CI=1.63, 1.68). CONCLUSIONS: These results showed that the CRF of women and men can be estimated from easily obtained health indicators. The longitudinal non-exercise algorithms provide models to accurately estimate CRF changes associated with aging and provide cost-effective algorithms to track CRF over time with health indicators available in healthcare settings.

Mediating effects of group cohesion on physical activity and diet in women of color: health is power.

PURPOSE: To determine the effects and mediating factors of a physical activity (PA) or vegetable and fruit (VF) group cohesion intervention. DESIGN: Longitudinal design. SETTING: Harris County and Travis County, Texas. PARTICIPANTS: Community-dwelling African-American and Hispanic or Latina women. INTERVENTION: Three hundred ten women were randomized to a PA (n  =  204) or VF (n  =  106) intervention group. Women met in groups six times over the course of 6 months and were exposed to a group cohesion intervention to promote walking or to increase VF consumption. MEASURES: Women completed the International PA Questionnaire, National Cancer Institute VF and fat screeners, PA Group Environment Questionnaire, and 7-day accelerometer protocol at baseline and post-intervention. ANALYSES: The direct and mediated effects of the intervention on outcomes were evaluated using a mediational chain model, controlling for baseline values and covariates using path analysis. RESULTS: Women were middle aged (mean  =  44.4 years) and overweight or obese (mean body mass index  =  34.0 kg/m(2)). PA increased and fat consumption decreased for both groups, whereas VF consumption increased for women in VF group only (all p < .05). Increased task cohesion led to hypothesized increases in psychosocial factors in the PA group but not to behavioral changes. CONCLUSIONS: Group cohesion interventions may have psychological and physical health benefits for African-American and Hispanic or Latina women, but refinement of measures and intervention delivery is needed to determine whether hypothesized mediational pathways are valid.

The concordance of directly and indirectly measured built environment attributes and physical activity adoption.

BACKGROUND: Physical activity (PA) adoption is essential for obesity prevention and control, yet ethnic minority women report lower levels of PA and are at higher risk for obesity and its comorbidities compared to Caucasians. Epidemiological studies and ecologic models of health behavior suggest that built environmental factors are associated with health behaviors like PA, but few studies have examined the association between built environment attribute concordance and PA, and no known studies have examined attribute concordance and PA adoption. PURPOSE: The purpose of this study was to associate the degree of concordance between directly and indirectly measured built environment attributes with changes in PA over time among African American and Hispanic Latina women participating in a PA intervention. METHOD: Women (N = 410) completed measures of PA at Time 1 (T1) and Time 2 (T2); environmental data collected at T1 were used to compute concordance between directly and indirectly measured built environment attributes. The association between changes in PA and the degree of concordance between each directly and indirectly measured environmental attribute was assessed using repeated measures analyses. RESULTS: There were no significant associations between built environment attribute concordance values and change in self-reported or objectively measured PA. Self-reported PA significantly increased over time (F(1,184) = 7.82, p = .006), but this increase did not vary by ethnicity or any built environment attribute concordance variable. CONCLUSIONS: Built environment attribute concordance may not be associated with PA changes over time among minority women. In an effort to promote PA, investigators should clarify specific built environment attributes that are important for PA adoption and whether accurate perceptions of these attributes are necessary, particularly among the vulnerable population of minority women.

Electrocardiogram testing during athletic preparticipation physical examinations.

CONTEXT: Sudden cardiac death (SCD) is a relatively rare yet unfortunate risk of athletic participation. To reduce the incidence of SCD, electrocardiogram (ECG) use during athletic preparticipation examinations (PPEs) has been proposed to detect underlying cardiac abnormalities. OBJECTIVE: To estimate the effectiveness of ECG use during athletic PPEs. DESIGN: Epidemiologic modeling. POPULATIONS: Public high school athletes. DATA COLLECTION AND ANALYSIS: Estimates of ECG sensitivity (70%) and specificity (84%) were drawn from the literature, as was the estimate of overall prevalence of cardiac conditions relevant to SCD (0.3%). Participation rate by sex was determined from National Federation of State High School Associations data. Participation by ethnicity was assumed to be proportionate to the public high school attendance rates for grades 9 through 12 (18.4% African American). Population-specific ECG effectiveness (positive predictive value), estimated total costs, cost per year of life saved, and cost to identify 1 additional case were computed. Total annual PPE screening costs reflected a cardiologist's office visit, including echocardiogram for those athletes with a positive ECG screen. RESULTS: The model predicted that 16% of all athletes would be expected to have a positive ECG, but only 1.3% of athletes with a positive ECG would have a cardiac abnormality capable of causing SCD, including hypertrophic cardiomyopathy, structural defects, and various conduction abnormalities. Total annual cost estimates for ECG screening and follow-up exceeded $126 million. Average cost per year of life saved across groups was $2693, and the cost to identify 1 additional case averaged $100 827. Compared with females, males had both lower cost per year of life saved and lower cost to identify 1 true case. Similarly, black males exhibited lower costs than white males. Across groups, false-positive ECG screening exams accounted for 98.8% of follow-up costs. CONCLUSIONS: Large-scale, mass ECG testing would be a costly method to identify athletes with cardiac abnormalities. Targeting high-risk populations can increase the effectiveness of the ECG for athletic PPE screening.

Payer type has little effect on operative rate and surgeons' work intensity.

Does health-care payer type affect the rate of operative treatment and surgeons' work intensity for patients with orthopaedic conditions? We analyzed the clinical and financial data collected during 6 consecutive years (1999-2004) for a group practice of 40 orthopaedic surgeons. We examined the rate of operative treatment and surgeons' work intensity (total physician's work Resource-based Relative Value System units) by diagnosis, patient age, and payer type. The eight payer types were: capitation health maintenance organization, health maintenance organization, preferred provider organization, indemnity, self-pay, Workers' Compensation, Medicaid, and Medicare. There were 230,306 patients with 526 unique primary diagnoses. Diagnosis accounted for most of the variability in operative rates and surgeons' work intensity. After adjusting for differences attributable to diagnosis, payer type had little effect on the rate of operative treatment and surgeons' work intensity.