The Effect of Limb Salvage Efforts in Different Age Groups: Relationships Between Major and Minor Amputations.

"Limb salvage" efforts, such as performing minor amputations before infections spread proximally from the foot to decrease major lower extremity amputation, are an important part of healthcare today. It is unclear whether these efforts are preventing the number of major amputations and improving patients' quality of life and the cost-effectiveness of the U.S. healthcare system. Rates of non-traumatic lower extremity amputation (NLEA) among patients with diabetes decreased in the early 2000s but rebounded in the 2010s. We analyzed the proportion of major amputations and differences in amputation rates between age groups in Texas. Patient data was extracted from the Texas Hospital Discharge Data Public Use Data File. Population estimates were obtained from the Texas Population Estimates Program from 2011 to 2015 and from intercensal estimates provided by the U.S. Census Bureau from 2006 to 2010. Raw numbers of minor, major, and all NLEA surgeries and the ratio of major amputations to total amputations per year were reported for each age group. Poisson regression and Joinpoint analyses were performed to capture these changes in trends. Rates of amputations increased, with significant decreasing relative prevalence of major amputations. Patients aged 45 to 64 with diabetes are likely driving these increases. Rates of lower extremity amputation in patients with diabetes increased from 2009 to 2015. This holds for all and minor amputations. In contrast, the ratio of major to all amputations decreased from 2010. Utilization of major and minor amputation differs between age groups, remaining stable in the youngest subjects, with minor amputation rates increasing in those aged 45 to 64.

Disparities in utilization of preventive health services among Asian young adults in the United States.

Despite the favorable health impacts of preventive services use, young adults remain at a higher risk of not using these services compared with older adults. This study seeks to identify barriers to receiving recommended preventive services among Asian young adults compared to other racial/ethnic young adults. Using 2016-2018 National Health Interview Survey data, this study examined barriers to recommended preventive services among non-Hispanic (NH) Asian young adults aged 18-39 years compared with other racial/ethnic groups in the United States (Total = 25,430; NH Asians = 6.3%). General prevention included fasting blood sugar, cholesterol, blood pressure, and Human Immunodeficiency Virus checkups. We documented information on vaccinations for influenza, pneumonia, tetanus, hepatitis A/B, and female-specific preventive care measures. NH Asian young adults reported blood pressure checkups less often than NH Whites (72.88% vs. 79.92%, p < 0.001). NH Asian young adults were also less likely to report HIV testing than all other racial/ethnic groups (p < 0.001). After controlling for covariates, NH Whites (odds ratio [OR] = 2.00, 95% confidence interval [CI] = 1.60, 2.50), NH Blacks (OR = 1.55, 95% CI = 1.18, 2.02), and other races (OR = 2.40, 95% CI = 1.60, 3.58) were more likely to receive any preventive services than NH Asians. Among those receiving any preventive services, there were no differences between NH Asians and all other racial/ethnic groups in whether they reported receiving relatively more preventive services. Our findings demonstrate that the rates of certain recommended preventive services use were lower among NH Asian young adults. Targeted public health strategies are needed to increase the use of preventive healthcare for racial/ethnic minority young adults.

Development and Evaluation of Rehabilitation Service Areas for the United States.

BACKGROUND: Geographic areas have been developed for many healthcare sectors including acute and primary care. These areas aid in understanding health care supply, use, and outcomes. However, little attention has been given to developing similar geographic tools for understanding rehabilitation in post-acute care. The purpose of this study was to develop and characterize post-acute care Rehabilitation Service Areas (RSAs) in the United States (US) that reflect rehabilitation use by Medicare beneficiaries. METHODS: A patient origin study was conducted to cluster beneficiary ZIP (Zone Improvement Plan) code tabulation areas (ZCTAs) with providers who service those areas using Ward's clustering method. We used US national Medicare claims data for 2013 to 2015 for beneficiaries discharged from an acute care hospital to an inpatient rehabilitation facility (IRF), skilled nursing facility (SNF), long-term care hospital (LTCH), or home health agency (HHA). Medicare is a US health insurance program primarily for older adults. The study population included patient records across all diagnostic groups. We used IRF, SNF, LTCH and HHA services to create the RSAs. We used 2013 and 2014 data (n = 2,730,366) to develop the RSAs and 2015 data (n = 1,118,936) to evaluate stability. We described the RSAs by provider type availability, population, and traveling patterns among beneficiaries. RESULTS: The method resulted in 1,711 discrete RSAs. 38.7% of these RSAs had IRFs, 16.1% had LTCHs, and 99.7% had SNFs. The number of RSAs varied across states; some had fewer than 10 while others had greater than 70. Overall, 21.9% of beneficiaries traveled from the RSA where they resided to another RSA for care. CONCLUSIONS: Rehabilitation Service Areas are a new tool for the measurement and understanding of post-acute care utilization, resources, quality, and outcomes. These areas provide policy makers, researchers, and administrators with small-area boundaries to assess access, supply, demand, and understanding of financing to improve practice and policy for post-acute care in the US.

Feasibility and thematic analysis of narrative visualization materials with physical activity monitoring among breast cancer survivors.

BACKGROUND: Breast cancer survivors have a unique risk for negative health outcomes. Engaging in routine physical activity (PA) can reduce these risks. However, PA levels are low among this population. Narrative visualization (NV) is a technique that uses drawings, photographs, and text to contextualize data, which may increase integrated regulation, or motivation related to personal values and identity. A PA intervention targeting breast cancer survivors using an NV strategy may improve PA behavior. The purpose of this study was to determine whether scrapbooking activities could successfully be used as an NV strategy for older (55+) breast cancer survivors. METHODS: Breast cancer survivors were given workbooks, wearable electronic activity monitors, instant cameras, and art supplies including a variety of stickers (e.g., emojis, affirmations). Participants were instructed to use these materials for 7 days. The workbook pages prompted participants to re-draw their daily activity graphs from the wearable's mobile app, then annotate them with text, photographs, stickers, etc. to reflect what the data meant to them. Hybrid thematic analysis was used to analyze the photographs, drawings, and written content to identify emergent themes. Content analysis was also used to investigate use of stickers and photographs. RESULTS: Of the 20 consented women (mean age 67 ± 5 years, 45% non-Hispanic white), 3 participants were lost to follow-up or unable to complete the procedures. The NV procedures were successfully utilized by the remaining 17 participants, who collectively used 945 stickers over 7 days, most of which were emojis. Emojis were both positively and negatively valanced. Participants took a mean of 9 photos over 7 days and completed workbook questions regarding current PA and PA goals. Themes within the photos included family, specific locations, everyday objects, religion, and friends. Themes within the written portions of the workbook included family, chores and obligations, health, personal reflection, hobbies, and shopping. CONCLUSIONS: The materials provided allowed breast cancer survivors to successfully use NV techniques to reflect on their PA data and behavior. These techniques show promise for promoting integrated regulation in activity monitoring interventions. TRIAL REGISTRATION: This study was funded by the National Cancer Institute ( R21CA218543 ) beginning July 1, 2018.

Post-acute care use patterns among Hospital Service Areas by older adults in the United States: a cross-sectional study.

BACKGROUND: Despite the success of stroke rehabilitation services, differences in service utilization exist. Some patients with stroke may travel across regions to receive necessary care prescribed by their physician. It is unknown how availability and combinations of post-acute care facilities in local healthcare markets influence use patterns. We present the distribution of skilled nursing, inpatient rehabilitation, and long-term care hospital services across Hospital Service Areas among a national stroke cohort, and we describe drivers of post-acute care service use. METHODS: We extracted data from 2013 to 2014 of a national stroke cohort using Medicare beneficiaries (174,498 total records across 3232 Hospital Service Areas). Patients' ZIP code of residence was linked to the facility ZIP code where care was received. If the patient did not live in the Hospital Service Area where they received care, they were considered a "traveler". We performed multivariable logistic regression to regress traveling status on the care combinations available where the patient lived. RESULTS: Although 73.4% of all Hospital Service Areas were skilled nursing-only, only 23.5% of all patients received care in skilled nursing-only Hospital Service Areas; 40.8% of all patients received care in Hospital Service Areas with only inpatient rehabilitation and skilled nursing, which represented only 18.2% of all Hospital Service Areas. Thirty-five percent of patients traveled to a different Hospital Service Area from where they lived. Regarding "travelers," for those living in a skilled nursing-only Hospital Service Area, 49.9% traveled for care to Hospital Service Areas with only inpatient rehabilitation and skilled nursing. Patients living in skilled nursing-only Hospital Service Areas had more than five times higher odds of traveling compared to those living in Hospital Service Areas with all three facilities. CONCLUSIONS: Geographically, the vast majority of Hospital Service Areas in the United States that provided rehabilitation services for stroke survivors were skilled nursing-only. However, only about one-third lived in skilled nursing-only Hospital Service Areas; over 35% traveled to receive care. Geographic variation exists in post-acute care; this study provides a foundation to better quantify its drivers. This study presents previously undescribed drivers of variation in post-acute care service utilization among Medicare beneficiaries-the "traveler effect".

Rural-urban differences in estimated life expectancy associated with neighborhood-level cumulative social and environmental determinants.

Diverse neighborhood-level environmental and social impacts on health are well documented. While studies typically examine these impacts individually, examining potential health impacts from multiple sources as a whole can provide a broader context of overall neighborhood-level health impacts compared to examining each component independently. This study examined the association between cumulative neighborhood-level potential health impacts on health and expected life expectancy within neighborhoods (census tracts) across Texas using the Neighborhood Potential Health Impact Score tool. Among urban census tract neighborhoods, a difference of nearly 5 years was estimated between neighborhoods with the least health promoting cumulative health impacts compared to neighborhoods with the most health promoting cumulative health impacts. Differences were observed between rural and urban census tract neighborhoods, with rural areas having less variability in expected life expectancy associated with neighborhood-level cumulative potential health impacts compared to urban areas.

The utility of a system dynamics approach for understanding cumulative health risk from exposure to environmental hazards.

The potential of system dynamics modeling to advance our understanding of cumulative risk in the service of optimal health is discussed. The focus is on exploring system dynamics modeling as a systems science methodology that can provide a framework for examining the complexity of real-world social and environmental exposures among populations-particularly those exposed to multiple disparate sources of risk. The discussion also examines how system dynamics modeling can engage a diverse body of key stakeholders throughout the modeling process, promoting the collective assessment of assumptions and systematic gathering of critical data. Though not a panacea, system dynamics modeling provides a promising methodology to complement traditional research methods in understanding cumulative health effects from exposure to multiple environmental and social stressors.

Subjective neighborhood assessment and physical inactivity: An examination of neighborhood-level variance.

Research suggests a linkage between perceptions of neighborhood quality and the likelihood of engaging in leisure-time physical activity. Often in these studies, intra-neighborhood variance is viewed as something to be controlled for statistically. However, we hypothesized that intra-neighborhood variance in perceptions of neighborhood quality may be contextually relevant. We examined the relationship between intra-neighborhood variance of subjective neighborhood quality and neighborhood-level reported physical inactivity across 48 neighborhoods within a medium-sized city, Texas City, Texas using survey data from 2706 residents collected between 2004 and 2006. Neighborhoods where the aggregated perception of neighborhood quality was poor also had a larger proportion of residents reporting being physically inactive. However, higher degrees of disagreement among residents within neighborhoods about their neighborhood quality was significantly associated with a lower proportion of residents reporting being physically inactive (p=0.001). Our results suggest that intra-neighborhood variability may be contextually relevant in studies seeking to better understand the relationship between neighborhood quality and behaviors sensitive to neighborhood environments, like physical activity.

Firearm carrying and concurrent substance use behaviours in a community-based sample of emerging adults.

INTRODUCTION: This paper examines associations between high-risk gun carrying and substance use in emerging adults (ages 18-22). The coexistence of these high-risk behaviours in a general population of emerging adults can have disastrous consequences. METHODS: Dating it Safe is an ongoing longitudinal (2010-2016) survey of emerging adults recruited from seven high schools in five south-east Texas-area school districts (current sample n=684). Multiple logistic regression modelling was used to examine the association between past-year use of legal and illegal substances and past-year firearm carrying for a reason other than sport or hunting. RESULTS: 6% of emerging adults carried firearms in the past year, with most (68%) carrying for protection. Use of cocaine, hallucinogens, methamphetamine, ecstasy and prescription medications in the past year, as well as episodic heavy drinking in the past month, was associated with increased risk of carrying a firearm (p<0.05 for all). After controlling for covariates, hallucinogens (OR 2.81, 95% CI 1.00 to 7.81), ecstasy (OR 3.66, 95% CI 1.32 to 10.14) and prescription medications (OR 2.85, 95% CI 1.22 to 6.68) remained associated with firearm carrying. Episodic heavy drinking was associated with firearm carrying, but only for those who had five or more episodes/month (OR 3.61, 95% CI 1.51 to 8.66). CONCLUSIONS: In this community-based sample of emerging adults, firearm carrying, mostly for protection, was associated with a variety of past-year substance use behaviours. These findings extend previous research and suggest directions for further exploration of the clustering of high-risk behaviours in emerging adults.

Common and Critical Components Among Community Health Assessment and Community Health Improvement Planning Models.

Community health assessment and community health improvement planning are continuous, systematic processes for assessing and addressing health needs in a community. Since there are different models to guide assessment and planning, as well as a variety of organizations and agencies that carry out these activities, there may be confusion in choosing among approaches. By examining the various components of the different assessment and planning models, we are able to identify areas for coordination, ways to maximize collaboration, and strategies to further improve community health. We identified 11 common assessment and planning components across 18 models and requirements, with a particular focus on health department, health system, and hospital models and requirements. These common components included preplanning; developing partnerships; developing vision and scope; collecting, analyzing, and interpreting data; identifying community assets; identifying priorities; developing and implementing an intervention plan; developing and implementing an evaluation plan; communicating and receiving feedback on the assessment findings and/or the plan; planning for sustainability; and celebrating success. Within several of these components, we discuss characteristics that are critical to improving community health. Practice implications include better understanding of different models and requirements by health departments, hospitals, and others involved in assessment and planning to improve cross-sector collaboration, collective impact, and community health. In addition, federal and state policy and accreditation requirements may be revised or implemented to better facilitate assessment and planning collaboration between health departments, hospitals, and others for the purpose of improving community health.

Utilization of Professional Mental Health Services Related to Population-Level Screening for Anxiety, Depression, and Post-traumatic Stress Disorder Among Public High School Students.

This study examines results from three mental health screening measures in a cohort of adolescent public school students in seven public schools in Southeast Texas affiliated with the Dating it Safe study. We estimated the odds of receiving professional mental health treatment in the previous year given results from different mental health screening batteries: the CES-D 10 battery for depression screening, the Screen for Child Anxiety Related Disorders, and the Primary Care Posttraumatic Stress Disorder screen. Overall, students with higher scores on screening instruments for depression, posttraumatic stress disorder, and combinations of screening instruments were more likely to have sought past-year professional mental health treatment than non-symptomatic youth. However, the proportion of students screening positive and receiving professional treatment was low, ranging from 11 to 16 %. This study emphasizes the need for broader evaluation of population-based mental health screening among adolescents.

Geospatial analysis of the associations between environmental contamination with livestock feces and children with chronic fascioliasis in the Anta province of Cusco, Peru.

Fasciola hepatica is a neglected parasitic infection with significant human health and livestock industry impact. The Andean Altiplano harbors an estimated 50% of the Fasciola's world infection burden. There is scarce data regarding the spatial associations between different Fasciola hosts. In this project, we aimed to determine the geospatial relationships between Fasciola eggs passed in feces of different livestock species and the risk of infection among each household as a unit. We used data from a cross-sectional study evaluating children and livestock feces for Fasciola infection around households in three districts of Anta province, in the Cusco region of Peru. Each sample was geographically tagged and evaluated for fascioliasis using microscopy methods. A total of 2070 households were included, the median age was 9.1 years (6.7-11.8), 49.5% were female, and 7.2% of the households had at least one infected child. A total of 2420 livestock feces samples were evaluated. The infection rate in livestock samples was 30.9%. The highest infection rate was found in sheep with 40.8%, followed by cattle (33.8%), and swine (26.4%). The median distance between a household with an infected child to a positive animal sample was 44.6 meters (IQR 14.7-112.8) and the distance between a household with no infected children to a positive animal sample was 62.2 meters (IQR 18.3-158.6) (p = 0.025). The multivariable logistic regression adjusted by presence of poor sanitation, unsafe water consumption, altitude, and presence of multiple infected children per household demonstrated an association between household infection and any cattle feces at a 50 meters radius (Uninfected: OR 1.42 (95%CI 1.07-1.89), p = 0.017. Infected: OR 1.89 (95%CI 1.31-2.73), p = 0.001), positive cattle feces at a 100 meters radius (OR 1.35 (95% CI 1.08-1.69), p = 0.008), and negative cattle feces at a 200 meters radius (OR 1.08 (95% CI 1.01-1.15), p = 0.022). We identified potential hot and cold spots for fascioliasis in the Anta province. An association between environmental contamination with feces from different livestock species and infected children in rural households was found in our study. Local health authorities may apply this strategy to estimate the risk of infection in human populations and apply targeted interventions.

Characterization of international partnerships in global retinoblastoma care and research: A network analysis.

Global cooperation is an integral component of global health research and practice. One Retinoblastoma World (1RBW) is a cooperative network of global treatment centers that care for children affected by retinoblastoma. The study aimed to determine the number, scope and nature of collaborations within 1RBW, and uncover how they are perceived to contribute towards improving retinoblastoma outcomes. A cross-sectional, mixed-methods egocentric network analysis was conducted. Treatment centers (n = 170) were invited to complete an electronic survey to identify collaborative activities between their institution (ego), and respective partners (alters). Network maps were generated to visualize connectivity. Key informants (n = 18) participated in semi-structured interviews to add details about the reported collaborations. Interviews were analysed through inductive thematic analysis. Surveys were completed by 56/170 (33%) of 1RBW treatment centers. Collectively, they identified 112 unique alters (80 treatment centers; 32 other organizations) for a total network size of 168 nodes. Most collaborations involved patient referrals, consultations and twinning/capacity building. Interviews identified four main themes: conceptualization of partnership; primary motivation for collaborations; common challenges to collaboration; and benefits to partnership. There is extensive global collaboration to reduce global retinoblastoma mortality, but there is room to expand connectivity through active efforts to include actors located at network peripheries.

Understanding Variation in Postacute Care: Developing Rehabilitation Service Areas Through Geographic Mapping.

OBJECTIVE: The aims of the study were to demonstrate a method for developing rehabilitation service areas and to compare service areas based on postacute care rehabilitation admissions to service areas based on acute care hospital admissions. DESIGN: We conducted a secondary analysis of 2013-2014 Medicare records for older patients in Texas (N = 469,172). Our analysis included admission records for inpatient rehabilitation facilities, skilled nursing facilities, long-term care hospitals, and home health agencies. We used Ward's algorithm to cluster patient ZIP Code Tabulation Areas based on which facilities patients were admitted to for rehabilitation. For comparison, we set the number of rehabilitation clusters to 22 to allow for comparison to the 22 hospital referral regions in Texas. Two methods were used to evaluate rehabilitation service areas: intraclass correlation coefficient and variance in the number of rehabilitation beds across areas. RESULTS: Rehabilitation service areas had a higher intraclass correlation coefficient (0.081 vs. 0.076) and variance in beds (27.8 vs. 21.4). Our findings suggest that service areas based on rehabilitation admissions capture has more variation than those based on acute hospital admissions. CONCLUSIONS: This study suggests that the use of rehabilitation service areas would lead to more accurate assessments of rehabilitation geographic variations and their use in understanding rehabilitation outcomes.

Confronting the diabetes disparity: a look at diabetes, nutrition, and physical activity programs in the Lower Rio Grande Valley.

Diabetes prevalence is higher along U.S.-Mexico border than in nonborder regions, and numerous community-based organizations are addressing this diabetes disparity through prevention and management programs. However, the nature, scope, and effectiveness of these efforts and programs are not well documented. This study aims at identifying key characteristics of diabetes programs in a Texas-Mexico border region with a predominately Hispanic, underserved population. A survey is administered to 84 community-based organizations in the Lower Rio Grande Valley (LRGV); 25 organizations respond. Nineteen programs related to diabetes and healthy lifestyle behaviors are identified in the LRGV. The majority of the programs are based on guidelines of national and state professional associations and agencies; target low-income and minority populations; are offered at no cost; and include program evaluation activities. Future research should examine the effectiveness, as well as the fidelity of the guidelines, of diabetes programs in the border region.

Interorganizational network changes among health organizations in the Brazos Valley, Texas.

Community health development is a process by which a community identifies factors influencing population health, assesses available resources to build the capacity to plan and take action, and implement interventions to address identified needs. At its core, community health development targets structural change and infrastructure development to facilitate more efficient and effective health service delivery systems and environmental changes to support improvements in community health. One indicator of structural change and common measure of community capacity is the relationships among the network of organizations that comprise that system. The Brazos Valley has employed a community health development approach to population health improvement in partnership with the Center for Community Health Development. Changes in interorganizational networks illustrate progress in the Brazos Valley. Contextual factors provide some insight into how the process has unfolded.

A NEIGHBORHOOD-LEVEL POTENTIAL HEALTH IMPACT SCORING TOOL TO SUPPORT LOCAL-LEVEL HEALTH IMPACT ASSESSMENTS.

Health Impact Assessments (HIAs) have quickly become a widely utilized tool for integrating health and health-related evidence and data into decision making processes across a range of projects and polices. Integrating and utilizing the wide range of available data can be daunting. To support communities seeking to engage in health impact assessments, we developed the Neighborhood Potential Health Impact Score (NPHIS) methodology. We present the NPHIS method's four step process, and how this process was applied to an HIA focusing on the rebuilding of public housing following a natural disaster. We discuss developing the boundary definition, selection and definition of indicators, calculation of the NPHIS, and interpretation and utilization of the scores. Findings were validated using feedback from a community stakeholder advisory board as well as through feedback collected from focus groups of community residents. NPHIS methodology has proven to be a useful resource in better understanding the complex sources of potential health impacts facing communities, and in being an evidence-based, data-driven resource for HIA decision-makers and their stakeholders in our specific application. Other groups seeking to integrate similar data into their decision-making processes could benefit from replicating the NPHIS in their efforts.

An examination between census tract unhealthy food availability and colorectal cancer incidence.

BACKGROUND: Unhealthy food environments may be associated with higher risks of developing diet-related cancers, such as, colorectal cancer. We conducted an ecological analysis to evaluate the relationship between the local food environment and colorectal cancer incidence overall and separately for males and females. METHODS: Data from the Texas Cancer Registry was utilized to geocode individuals aged 40 years and older diagnosed with colorectal cancer from 2005 to 2015 to their residential 2010 census tract. Total number of establishments classified as Limited Service Restaurants for each census tract was retrieved from the 2005 Business Patterns Survey by using a crosswalk to map zip codes to census tract. Census tract unhealthy food availability was calculated by dividing the estimated number of Limited Service Restaurant establishments in each census tract by the census tract population and divided into quartiles. Generalized estimating equations were used to assess the association between unhealthy food availability quartiles and colorectal cancer incidence. RESULTS: Adjusting for the census tract level sociodemographic characteristics, the incidence of colorectal cancer was slightly higher in unhealthy food availability quartile 2 (Incidence Rate Ratio (IRR) = 1.03, 95 % CI: 1.00-1.05), but not quartile 3 (IRR = 1.02, 95 % CI: 1.00-1.05), and quartile 4 (highest availability, IRR = 1.02, 95 % CI: 0.99-1.05) compared to census tracts with lowest unhealthy food availability. CONCLUSION: Colorectal cancer incidence was not strongly associated with census tracts with higher unhealthy food availability. Future observational studies should be conducted to examine the influence of the built environment on colorectal cancer risk.

One Size Does Not Fit All: Sociodemographic Factors Affecting Weight Loss in Adolescents.

Successful lifestyle changes for weight reduction are heavily dependent on recognizing the importance of societal and cultural factors. Patients 13-19 years of age with a BMI ≥95th percentile are eligible for our multidisciplinary adolescent weight loss clinic. A behavioral questionnaire was administered at the initial visit. Patients were seen every 4-6 weeks. Bivariate analysis was used to identify sociodemographic factors associated with differences in weight loss. Overall, receiving reduced cost meals was associated with a lower likelihood of losing weight (kg) (p < 0.01). When stratified by race, White adolescents were more likely to lose weight if caretakers reported having enough money to buy healthy food (p < 0.05); in contrast, Black adolescents were less likely to lose weight (p < 0.05). However, Black patients were more likely to lose weight if they reported eating fruits and vegetables (p < 0.05). Female adolescents were more likely to lose weight if they felt unhappy about their appearance (p < 0.05). Interestingly, male adolescents were less likely to lose weight if they felt unhappy about their appearance (p < 0.05). Social and cultural norms influence weight loss in adolescents in unique and differing ways. Culturally competent individualized interventions could increase weight loss in diverse groups of adolescents with obesity.

Proximity to Oil Refineries and Risk of Cancer: A Population-Based Analysis.

BACKGROUND: The association between proximity to oil refineries and cancer rate is largely unknown. We sought to compare the rate of cancer (bladder, breast, colon, lung, lymphoma, and prostate) according to proximity to an oil refinery in Texas. METHODS: A total of 6 302 265 persons aged 20 years or older resided within 30 miles of an oil refinery from 2010 to 2014. We used multilevel zero-inflated Poisson regression models to examine the association between proximity to an oil refinery and cancer rate. RESULTS: We observed that proximity to an oil refinery was associated with a statistically significantly increased risk of incident cancer diagnosis across all cancer types. For example, persons residing within 0-10 (risk ratio [RR] = 1.13, 95% confidence interval [CI] = 1.07 to 1.19) and 11-20 (RR = 1.05, 95% CI = 1.00 to 1.11) miles were statistically significantly more likely to be diagnosed with lymphoma than individuals who lived within 21-30 miles of an oil refinery. We also observed differences in stage of cancer at diagnosis according to proximity to an oil refinery. Moreover, persons residing within 0-10 miles were more likely to be diagnosed with distant metastasis and/or systemic disease than people residing 21-30 miles from an oil refinery. The greatest risk of distant disease was observed in patients diagnosed with bladder cancer living within 0-10 vs 21-30 miles (RR = 1.30, 95% CI = 1.02 to 1.65), respectively. CONCLUSIONS: Proximity to an oil refinery was associated with an increased risk of multiple cancer types. We also observed statistically significantly increased risk of regional and distant/metastatic disease according to proximity to an oil refinery.