Are Neighborhood Characteristics Associated With Outcomes After THA and TKA? Findings From a Large Healthcare System Database.

BACKGROUND: Non-White patients have higher rates of discharge to an extended care facility, hospital readmission, and emergency department use after primary THA and TKA. The reasons for this are unknown. Place of residence, which can vary by race, has been linked to poorer healthcare outcomes for people with many health conditions. However, the potential relationship between place of residence and disparities in these joint arthroplasty outcomes is unclear. QUESTIONS/PURPOSES: (1) Are neighborhood-level characteristics, including racial composition, marital proportions, residential vacancy, educational attainment, employment proportions, overall deprivation, access to medical care, and rurality associated with an increased risk of discharge to a facility, readmission, and emergency department use after elective THA and TKA? (2) Are the associations between neighborhood-level characteristics and discharge to a facility, readmission, and emergency department use the same among White and Black patients undergoing elective THA and TKA? METHODS: Between 2007 and 2018, 34,008 records of elective primary THA or TKA for osteoarthritis, rheumatoid arthritis, or avascular necrosis in a regional healthcare system were identified. After exclusions for unicompartmental arthroplasty, bilateral surgery, concomitant procedures, inability to geocode a residential address, duplicate records, and deaths, 21,689 patients remained. Ninety-seven percent of patients in this cohort self-identified as either White or Black, so the remaining 659 patients were excluded due to small sample size. This left 21,030 total patients for analysis. Discharge destination, readmissions within 90 days of surgery, and emergency department visits within 90 days were identified. Each patient's street address was linked to neighborhood characteristics from the American Community Survey and Area Deprivation Index. A multilevel, multivariable logistic regression analysis was used to model each outcome of interest, controlling for clinical and individual sociodemographic factors and allowing for clustering at the neighborhood level. The models were then duplicated with the addition of neighborhood characteristics to determine the association between neighborhood-level factors and each outcome. The linear predictors from each of these models were used to determine the predicted risk of each outcome, with and without neighborhood characteristics, and divided into tenths. The change in predicted risk tenths based on the model containing neighborhood characteristics was compared to that without neighborhood characteristics.The change in predicted risk tenth for each outcome was stratified by race. RESULTS: After controlling for age, sex, insurance type, surgery type, and comorbidities, we found that an increase of one SD of neighborhood unemployment (odds ratio 1.26 [95% confidence interval 1.17 to 1.36]; p < 0.001) was associated with an increased likelihood of discharge to a facility, whereas an increase of one SD in proportions of residents receiving public assistance (OR 0.92 [95% CI 0.86 to 0.98]; p = 0.008), living below the poverty level (OR 0.82 [95% CI 0.74 to 0.91]; p < 0.001), and being married (OR 0.80 [95% CI 0.71 to 0.89]; p < 0.001) was associated with a decreased likelihood of discharge to a facility. Residence in areas one SD above mean neighborhood unemployment (OR 1.12 [95% CI [1.04 to 1.21]; p = 0.002) was associated with increased rates of readmission. An increase of one SD in residents receiving food stamps (OR 0.83 [95% CI 0.75 to 093]; p = 0.001), being married (OR 0.89 [95% CI 0.80 to 0.99]; p = 0.03), and being older than 65 years (OR 0.93 [95% CI 0.88 to 0.98]; p = 0.01) was associated with a decreased likelihood of readmission. A one SD increase in the percentage of Black residents (OR 1.11 [95% CI 1.00 to 1.22]; p = 0.04) and unemployed residents (OR 1.15 [95% CI 1.05 to 1.26]; p = 0.003) was associated with a higher likelihood of emergency department use. Living in a medically underserved area (OR 0.82 [95% CI 0.68 to 0.97]; p = 0.02), a neighborhood one SD above the mean of individuals using food stamps (OR 0.81 [95% CI 0.70 to 0.93]; p = 0.004), and a neighborhood with an increasing percentage of individuals older than 65 years (OR 0.90 [95% CI 0.83 to 0.96]; p = 0.002) were associated with a lower likelihood of emergency department use. With the addition of neighborhood characteristics, the risk prediction tenths of the overall cohort remained the same in more than 50% of patients for all three outcomes of interest. When stratified by race, neighborhood characteristics increased the predicted risk for 55% of Black patients for readmission compared with 17% of White patients (p < 0.001). The predicted risk tenth increased for 60% of Black patients for emergency department use compared with 21% for White patients (p < 0.001). CONCLUSION: These results can be used to identify high-risk patients who might benefit from preemptive interventions to avoid these particular outcomes and to create more realistic, comprehensive risk adjustment models for value-based care programs. Additionally, this study demonstrates that neighborhood characteristics are associated with greater risk for these outcomes among Black patients compared with White patients. Further studies should consider that race/ethnicity and neighborhood characteristics may not function independently from each other. Understanding this link between race and place of residence is essential for future racial disparities research. LEVEL OF EVIDENCE: Level III, therapeutic study.

Challenges and Possible Solutions to Adapting to Virtual Recruitment: Lessons Learned from a Survey Study during the Covid-19 Pandemic.

The Covid-19 pandemic required rapid changes to research protocols, including immediate transitions to recruiting research participants and conducting the informed consent process virtually. This case study details the challenges our research team faced adapting an in-person, behavioral-intervention and survey study to virtual recruitment. We reflect on the impact of these rapid changes on recruitment and retention, discuss protocol changes we made to address these challenges and the needs of potential and enrolled participants, and propose recommendations for future work. Using computer technology to display professional return phone numbers, being flexible by contacting potential participants through various means, minimizing email communication due to added regulatory requirements, and partnering with the institutional review board to shorten and improve the consent document and process were critical to study success. This case study can offer insight to other researchers as they navigate similar processes. Virtual recruitment is likely to continue; it is important to ensure that it facilitates, rather than hinders, equitable and just recruitment practices.

What matters most: Randomized controlled trial of breast cancer surgery conversation aids across socioeconomic strata.

BACKGROUND: Women of lower socioeconomic status (SES) with early-stage breast cancer are more likely to report poorer physician-patient communication, lower satisfaction with surgery, lower involvement in decision making, and higher decision regret compared to women of higher SES. The objective of this study was to understand how to support women across socioeconomic strata in making breast cancer surgery choices. METHODS: We conducted a 3-arm (Option Grid, Picture Option Grid, and usual care), multisite, randomized controlled superiority trial with surgeon-level randomization. The Option Grid (text only) and Picture Option Grid (pictures plus text) conversation aids were evidence-based summaries of available breast cancer surgery options on paper. Decision quality (primary outcome), treatment choice, treatment intention, shared decision making (SDM), anxiety, quality of life, decision regret, and coordination of care were measured from T0 (pre-consultation) to T5 (1-year after surgery. RESULTS: Sixteen surgeons saw 571 of 622 consented patients. Patients in the Picture Option Grid arm (n = 248) had higher knowledge (immediately after the visit [T2] and 1 week after surgery or within 2 weeks of the first postoperative visit [T3]), an improved decision process (T2 and T3), lower decision regret (T3), and more SDM (observed and self-reported) compared to usual care (n = 257). Patients in the Option Grid arm (n = 66) had higher decision process scores (T2 and T3), better coordination of care (12 weeks after surgery or within 2 weeks of the second postoperative visit [T4]), and more observed SDM (during the surgical visit [T1]) compared to usual care arm. Subgroup analyses suggested that the Picture Option Grid had more impact among women of lower SES and health literacy. Neither intervention affected concordance, treatment choice, or anxiety. CONCLUSIONS: Paper-based conversation aids improved key outcomes over usual care. The Picture Option Grid had more impact among disadvantaged patients. LAY SUMMARY: The objective of this study was to understand how to help women with lower incomes or less formal education to make breast cancer surgery choices. Compared with usual care, a conversation aid with pictures and text led to higher knowledge. It improved the decision process and shared decision making (SDM) and lowered decision regret. A text-only conversation aid led to an improved decision process, more coordinated care, and higher SDM compared to usual care. The conversation aid with pictures was more helpful for women with lower income or less formal education. Conversation aids with pictures and text helped women make better breast cancer surgery choices.

Barriers to accessing opioid agonist therapy in pregnancy.

BACKGROUND: The incidence of opioid use disorder during pregnancy has risen dramatically in the last couple of decades. Despite the safety and efficacy of treatment for opioid use during pregnancy, pregnant women often cannot access treatment. OBJECTIVE: This study aimed to determine the availability of opioid agonist therapy to pregnant women in Missouri and Illinois and to compare different markers of treatment accessibility between opioid treatment programs and buprenorphine providers and between rural and urban practices. STUDY DESIGN: Buprenorphine providers and opioid treatment programs in Missouri and Illinois were identified using the Substance Abuse and Mental Health Services Administration website. A phone audit was conducted to evaluate barriers to care, including whether clinics accepted new patients, pregnant patients, and insurance, and the time to the first appointment and appointment cost. Rural-urban commuting area codes and practice ZIP codes were used to determine whether practice location was rural or urban. Provider specialty was determined from state licensing databases. RESULTS: There were 1363 buprenorphine providers and 98 opioid treatment programs listed. Clinics were clustered around metropolitan areas, and only 13% of buprenorphine providers (183 of 1363) and 5% of opioid treatment programs (5 of 98) were in rural areas. Despite 3 contact attempts for each clinic, we were unable to reach 42% of buprenorphine providers (401 of 965) and 14% of opioid treatment programs (14 of 98). Of those reached, 40% of buprenorphine providers (223 of 564) and 80% of opioid treatment programs (67 of 84) were accepting new pregnant patients (P=.01). Buprenorphine providers required more contact attempts (>2 attempts in 34% vs 15%; P<.0001) and had longer wait times for the first appointment (>7 days in 27% vs 4%; P=.002) than opioid treatment programs. Buprenorphine providers in urban areas required more attempts to reach (>2 attempts in 36% vs 24%; P=.03) and were less likely to accept Medicaid than those in rural areas (52% vs 74%; P=.008). More than 23% of buprenorphine provider listings (238 of 1038) contained incorrect information, whereas no opioid treatment program listing had incorrect information. Most buprenorphine providers were in primary care or psychiatry, whereas <5% of buprenorphine providers (43 of 1363) were obstetrician-gynecologists. CONCLUSION: This is the first phone audit to evaluate access to opioid agonist therapy for pregnant women. Only a minority of buprenorphine providers offered care for this patient population, and a large proportion required multiple contact attempts and wait times of >7 days. Opioid treatment programs were more responsive and accepting of new pregnant patients but comprised a minority of clinics and were predominately located in urban areas. There is an urgent need for improved reliability of contact information for opioid agonist providers, timely intake and acceptance for treatment of pregnant patients, and overall improved access to clinics that are challenged by geographic and insurance status barriers.

Urban-Rural Disparities in Access to Low-Dose Computed Tomography Lung Cancer Screening in Missouri and Illinois.

INTRODUCTION: Low-dose computed tomography (LDCT) lung cancer screening is recommended for current and former smokers who meet eligibility criteria. Few studies have quantitatively examined disparities in access to LDCT screening. The objective of this study was to examine relationships between 1) rurality, sociodemographic characteristics, and access to LDCT lung cancer screening and 2) screening access and lung cancer mortality. METHODS: We used census block group and county-level data from Missouri and Illinois. We defined access to screening as presence of an accredited screening center within 30 miles of residence as of May 2019. We used mixed-effects logistic models for screening access and county-level multiple linear regression models for lung cancer mortality. RESULTS: Approximately 97.6% of metropolitan residents had access to screening, compared with 41.0% of nonmetropolitan residents. After controlling for sociodemographic characteristics, the odds of having access to screening in rural areas were 17% of the odds in metropolitan areas (95% CI, 12%-26%). We observed no association between screening access and lung cancer mortality. Southeastern Missouri, a rural and impoverished area, had low levels of screening access, high smoking prevalence, and high lung cancer mortality. CONCLUSION: Although access to LDCT is lower in rural areas than in urban areas, lung cancer mortality in rural residents is multifactorial and cannot be explained by access alone. Targeted efforts to implement rural LDCT screening could reduce geographic disparities in access, although further research is needed to understand how increased access to screening could affect uptake and rural disparities in lung cancer mortality.

Does Availability of Worksite Supports for Physical Activity Differ by Industry and Occupation?

PURPOSE: To explore combinations of worksite supports (WSS) for physical activity (PA) that may assist employees in meeting PA recommendations and to investigate how availability of WSS differs across industries and occupations. DESIGN: Cross-sectional. SETTING: Several Missouri metropolitan areas. PARTICIPANTS: Adults employed >20 h/wk outside the home. MEASURES: Survey utilized existing self-reported measures (eg, presence of WSS for PA) and the International Physical Activity Questionnaire. ANALYSIS: Logistic regression was conducted for 2 outcome variables: leisure and transportation PA. Independent variables included 16 WSS. Of particular interest were interaction effects between WSS variables. Analyses were stratified by 5 occupation and 7 industry types. RESULTS: Overall, 2013 people completed the survey (46% response rate). Often, availability of 1 WSS did not increase the likelihood of meeting PA recommendations, but several pairs of WSS did. For example, in business occupations, the odds of meeting PA recommendations through transportation PA increased when employees had access to showers and incentives to bike/walk (odds ratio [OR] = 1.6; 95% confidence interval [CI] = 1.16-2.22); showers and maps (OR = 1.25; 1.02-1.55); maps and incentives to bike/walk (OR = 1.48; 1.04-2.12). CONCLUSION: Various combinations of WSS may increase the likelihood that employees will meet PA recommendations. Many are of low or no cost, including flexible time for exercise and maps of worksite-adjacent walk/bike routes. Findings may be instructive for employers seeking to improve employee health through worksite PA.

Mixed methods analysis of eighteen worksite policies, programs, and environments for physical activity.

BACKGROUND: This study examined whether specific worksite supports for physical activity (PA) were associated with total and domain-specific PA. METHODS: A cross-sectional, telephone-based study was conducted in four Missouri, USA, metropolitan areas in 2012 and 2013. Outcome variables included total PA and sub-domains (leisure, work, travel) measured using the International Physical Activity Questionnaire. Logistic regression determined odds of meeting PA recommendations, given access to and use of 18 unique PA worksite supports. A subsample of 119 participants also wore hip accelerometry for seven consecutive days and maintained a wear-time diary. Access to worksite supports were associated with odds of meeting objective moderate and vigorous (MV) PA above 150 min per week. RESULTS: Among 2013 survey participants, meeting PA recommendations while performing work-related tasks was significantly associated with several supports (e.g., walking maps, stair prompts), as was meeting recommendations during travel (e.g., flextime for PA, incentives for public transportation, walking/bicycling to work). Access to 11 worksite supports increased odds of meeting PA recommendations through leisure-time PA; five supports were associated with total PA. There were significant differences between access to and use of supports. Using objective MVPA, access to worksite challenges and bike storage were significantly associated with five and three times greater odds of meeting 150 min of MVPA per week, respectively. CONCLUSIONS: Worksite wellness plans are increasing across the US and employers are eager for evidence-based supports for increasing PA. This study provides insights into the utility of multiple worksite supports for PA to increase odds that employees meet PA recommendations.

Work-related correlates of occupational sitting in a diverse sample of employees in Midwest metropolitan cities.

The worksite serves as an ideal setting to reduce sedentary time. Yet little research has focused on occupational sitting, and few have considered factors beyond the personal or socio-demographic level. The current study i) examined variation in occupational sitting across different occupations, ii) explored whether worksite level factors (e.g., employer size, worksite supports and policies) may be associated with occupational sitting. Between 2012 and 2013, participants residing in four Missouri metropolitan areas were interviewed via telephone and provided information on socio-demographic characteristics, schedule flexibility, occupation, work related factors, and worksite supports and policies. Occupational sitting was self-reported (daily minutes spent sitting at work), and dichotomized. Occupation-stratified analyses were conducted to identify correlates of occupational sitting using multiple logistic regressions. A total of 1668 participants provided completed data. Those employed in business and office/administrative support spent more daily occupational sitting time (median 330 min) compared to service and blue collar employees (median 30 min). Few worksite supports and policies were sitting specific, yet factors such as having a full-time job, larger employer size, schedule flexibility, and stair prompt signage were associated with occupational sitting. For example, larger employer size was associated with higher occupational sitting in health care, education/professional, and service occupations. Work-related factors, worksite supports and policies are associated with occupational sitting. The pattern of association varies among different occupation groups. This exploratory work adds to the body of research on worksite level correlates of occupational sitting. This may provide information on priority venues for targeting highly sedentary occupation groups.

Which worksite supports for healthy weight do employees use?

This paper explores factors associated with employee use of available supports for improving nutrition and activity behaviors. A cross-sectional telephone-survey assessed presence and use of available program, facility, and policy supports. Logistic regression was used to explore associations between job characteristics (e.g., supervising others) and use of available supports, adjusting for demographic characteristics. After adjustment, most supports were associated with at least one job-related factor. Participants supervising others were more likely to utilize eight supports including personal services for fitness, indoor exercise and shower facilities, and flextime for physical activity. The programs and facilities associated with the most factors were health fairs (e.g., increased likelihood with increased hours worked/week) and indoor exercise and shower facilities (e.g., increased likelihood with increased flexibility at work), respectively. Policies were associated with fewer factors. Since use of many programs and facilities differed based on job-related factors, employers might target supports based on job-related factors.

Choice of commuting mode among employees: Do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter?

BACKGROUND: Promoting the use of public transit and active transport (walking and cycling) instead of car driving is an appealing strategy to increase overall physical activity. PURPOSE: To quantify the combined associations between self-reported home and worksite neighborhood environments, worksite support and policies, and employees' commuting modes. METHOD: Between 2012 and 2013, participants residing in four Missouri metropolitan areas were interviewed via telephone (n = 1,338) and provided information on socio-demographic characteristics, home and worksite neighborhoods, and worksite support and policies. Commuting mode was self-reported and categorized into car driving, public transit, and active commuting. Commuting distance was calculated using geographic information systems. Commuters providing completed data were included in the analysis. Multivariate logistic regression models were used to examine the correlates of using public transit and active commuting. RESULT: The majority of participants reported commuting by driving (88.9%); only 4.9% used public transit and 6.2% used active modes. After multivariate adjustment, having transit stops within 10-15 minutes walking distance from home (p=0.05) and using worksite incentive for public transit (p<0.001) were associated with commuting by public transit. Commuting distance (p<0.001) was negatively associated with active commuting. Having free or low cost recreation facilities around the worksite (p=0.04) and using bike facilities to lock bikes at the worksite (p<0.001) were associated with active commuting. CONCLUSION: Both environment features and worksite supports and policies are associated with the choice of commuting mode. Future studies should use longitudinal designs to investigate the potential of promoting alternative commuting modes through worksite efforts that support sustainable commuting behaviors as well as the potential of built environment improvements.

Review of measures of worksite environmental and policy supports for physical activity and healthy eating.

INTRODUCTION: Obesity prevention strategies are needed that target multiple settings, including the worksite. The objective of this study was to assess the state of science concerning available measures of worksite environmental and policy supports for physical activity (PA) and healthy eating (HE). METHODS: We searched multiple databases for instruments used to assess worksite environments and policies. Two commonly cited instruments developed by state public health departments were also included. Studies that were published from 1991 through 2013 in peer-reviewed publications and gray literature that discussed the development or use of these instruments were analyzed. Instrument administration mode and measurement properties were documented. Items were classified by general health topic, 5 domains of general worksite strategy, and 19 subdomains of worksite strategy specific to PA or HE. Characteristics of worksite measures were described including measurement properties, length, and administration mode, as well as frequencies of items by domain and subdomain. RESULTS: Seventeen instruments met inclusion criteria (9 employee surveys, 5 manager surveys, 1 observational assessment, and 2 studies that used multiple administration modes). Fourteen instruments included reliability testing. More items were related to PA than HE. Most instruments (n = 10) lacked items in the internal social environment domain. The most common PA subdomains were exercise facilities and lockers/showers; the most common HE subdomain was healthy options/vending. CONCLUSION: This review highlights gaps in measurement of the worksite social environment. The findings provide a useful resource for researchers and practitioners and should inform future instrument development.

Workplace social and organizational environments and healthy-weight behaviors.

BACKGROUND: The workplace is an important setting for health promotion including nutrition and physical activity behaviors to prevent obesity. This paper explores the relationship between workplace social environment and cultural factors and diet and physical activity (PA) behaviors and obesity among employees. METHODS: Between 2012 and 2013, telephone interviews were conducted with participants residing in four Missouri metropolitan areas. Questions included demographic characteristics, workplace socio/organizational factors related to activity and diet, and individual diet and PA behaviors, and obesity. Multivariate logistic regression was used to examine associations between the workplace socio/organizational environment and nutrition, PA, and obesity. RESULTS: There were differences in reported health behaviors and socio/organizational environment by gender, race, age, income, and worksite size. For example, agreement with the statement the 'company values my health' was highest among Whites, older employees, and higher income workers. As worksite size increased, the frequency of reporting seeing co-workers doing several types of healthy behaviors (eat fruits and vegetables, doing PA, and doing PA on breaks at work) increased. In adjusted analyses, employees agreeing the company values my health were more likely to engage in higher PA levels (aOR=1.54, 95% CI: 1.09-2.16) and less likely to be obese (aOR=0.73, 95% CI: 0.54-0.98). Seeing co-workers eating fruits and vegetables was associated with increased reporting of eating at least one vegetable per day (aOR=1.43, 95% CI: 1.06-1.91) and seeing co-workers being active was associated with higher PA levels (aOR 1.56, 95% CI: 1.19-2.05). CONCLUSIONS: This research suggests that social/organizational characteristics of the workplace environment, particularly feeling the company values the workers' health and to seeing co-workers engaging in healthy behaviors, may be related to nutrition and PA behaviors and obesity. These findings point to the potential for intervention targets including environment and policy changes.

Occupational sitting and weight status in a diverse sample of employees in Midwest metropolitan cities, 2012-2013.

INTRODUCTION: Few studies have examined the association between occupational sitting and body mass index (BMI). There is a particular lack of evidence among diverse populations. The objective of this study was to quantify the association between self-reported occupational sitting time and BMI by sex and race, independent of levels of occupational and leisure-time physical activity. METHODS: In 2012 and 2013, participants residing in 4 Missouri metropolitan areas were interviewed via telephone. The interview included questions on sociodemographic characteristics and time spent sitting at work. Multinomial logistic regressions were used to examine the association between occupational sitting and BMI between men and women and between black and white women. RESULTS: Overall 1,891 participants (66.9% women, 29.5% black) provided complete data. Median daily time spent by both men and women in occupational sitting was 180 minutes (interquartile range, 30 to 360 minutes); most participants were overweight (32.3%) or obese (33.6%). After adjusting for potential confounders, we found that black women in 3 categories of sitting time (31-180 minutes, 181-360 minutes, and >360 minutes) were approximately 2.5 times as likely (P for trend, .02) to be obese as black women who reported sitting for 30 minutes or less, independent of occupational and leisure-time physical activity. This association was not seen among white women. No significant associations were found among men. CONCLUSION: Occupational sitting is associated with an increased likelihood of obesity among black women, independent of occupational and leisure-time physical activity. Areas of future research include evaluating associations among various occupations and industries, assessing the association in prospective cohorts, and exploring the feasibility of worksite interventions that target sitting.

Understanding the independent and joint associations of the home and workplace built environments on cardiorespiratory fitness and body mass index.

This observational study examined the associations of built environment features around the home and workplace with cardiorespiratory fitness (CRF) based on a treadmill test and body mass index (BMI) (weight (kg)/height (m)(2)). The study included 8,857 adults aged 20-88 years who completed a preventive medical examination in 2000-2007 while living in 12 Texas counties. Analyses examining workplace neighborhood characteristics included a subset of 4,734 participants. Built environment variables were derived around addresses by using geographic information systems. Models were adjusted for individual-level and census block group-level demographics and socioeconomic status, smoking, BMI (in CRF models), and all other home or workplace built environment variables. CRF was associated with higher intersection density, higher number of private exercise facilities around the home and workplace, larger area of vegetation around the home, and shorter distance to the closest city center. Aside from vegetation, these same built environment features around the home were also associated with BMI. Participants who lived and worked in neighborhoods in the lowest tertiles for intersection density and the number of private exercise facilities had lower CRF and higher BMI values than participants who lived and worked in higher tertiles for these variables. This study contributes new evidence to suggest that built environment features around homes and workplaces may affect health.

Development and reliability testing of the Worksite and Energy Balance Survey.

CONTEXT: Worksites represent important venues for health promotion. Development of psychometrically sound measures of worksite environments and policy supports for physical activity and healthy eating are needed for use in public health research and practice. OBJECTIVE: Assess the test-retest reliability of the Worksite and Energy Balance Survey (WEBS), a self-report instrument for assessing perceptions of worksite supports for physical activity and healthy eating. DESIGN: The WEBS included items adapted from existing surveys or new items on the basis of a review of the literature and expert review. Cognitive interviews among 12 individuals were used to test the clarity of items and further refine the instrument. A targeted random-digit-dial telephone survey was administered on 2 occasions to assess test-retest reliability (mean days between time periods = 8; minimum = 5; maximum = 14). SETTING: Five Missouri census tracts that varied by racial-ethnic composition and walkability. PARTICIPANTS: Respondents included 104 employed adults (67% white, 64% women, mean age = 48.6 years). Sixty-three percent were employed at worksites with less than 100 employees, approximately one-third supervised other people, and the majority worked a regular daytime shift (75%). MAIN OUTCOME MEASURES: Test-retest reliability was assessed using Spearman correlations for continuous variables, Cohen's κ statistics for nonordinal categorical variables, and 1-way random intraclass correlation coefficients for ordinal categorical variables. RESULTS: Test-retest coefficients ranged from 0.41 to 0.97, with 80% of items having reliability coefficients of more than 0.6. Items that assessed participation in or use of worksite programs/facilities tended to have lower reliability. Reliability of some items varied by gender, obesity status, and worksite size. Test-retest reliability and internal consistency for the 5 scales ranged from 0.84 to 0.94 and 0.63 to 0.84, respectively. CONCLUSIONS: The WEBS items and scales exhibited sound test-retest reliability and may be useful for research and surveillance. Further evaluation is needed to document the validity of the WEBS and associations with energy balance outcomes.

Where is obesity prevention on the map?: distribution and predictors of local health department prevention activities in relation to county-level obesity prevalence in the United States.

CONTEXT: The system of local health departments (LHDs) in the United States has the potential to advance a locally oriented public health response in obesity control and reduce geographic disparities. However, the extent to which obesity prevention programs correspond to local obesity levels is unknown. OBJECTIVE: This study examines the extent to which LHDs across the United States have responded to local levels of obesity by examining the association between jurisdiction-level obesity prevalence and the existence of obesity prevention programs. DESIGN: Data on LHD organizational characteristics from the Profile Study of Local Health Departments and county-level estimates of obesity from the Behavioral Risk Factor Surveillance System were analyzed (n = 2300). Since local public health systems are nested within state infrastructure, multilevel models were used to examine the relationship between county-level obesity prevalence and LHD obesity prevention programming and to assess the impact of state-level clustering. SETTING: Two thousand three hundred local health department jurisdictions defined with respect to county boundaries. PARTICIPANTS: Practitioners in local health departments who responded to the 2005 Profile Study of Local Health Departments. MAIN OUTCOME MEASURES: Likelihood of having obesity prevention activities and association with area-level obesity prevalence. RESULTS: The existence of obesity prevention activities was not associated with the prevalence of obesity in the jurisdiction. A substantial portion of the variance in LHD activities was explained by state-level clustering. CONCLUSIONS: This article identified a gap in the local public health response to the obesity epidemic and underscores the importance of multilevel modeling in examining predictors of LHD performance.

When one plus one equals three: the role of relationships and context in community research.

This paper explores the role of relationships within and between the community of the researchers and the community of the research participants, as they relate to qualitative, community psychology research. Although relationships are salient to all research, their role is particularly prominent in qualitative research, in which a closer rapport is established between researcher and research participant than in quantitative research, and the impact of both sides of this interaction on the research process is acknowledged. Instead of merely looking at the community and relationships of the participants, the usual focus of research, this paper also explores the often-overlooked community and relationships of the researchers and then goes on to look at the impact on the research process of the interaction of these two separate communities. This inside story, while seldom explicitly explored or articulated, has implications for community research in general and particularly for applied research.