Spatiotemporal trends in diabetes-related mortality by school district in the state of Michigan, United States.

OBJECTIVES: This study examined the spatiotemporal epidemiological status of diabetes-related death in relation to school district boundaries in the state of Michigan, United States. METHODS: A retrospective observational study was conducted using death records spanning the years 2007-2014 in Michigan, with school districts as the geographic unit of analysis. Geocoding was performed for each death record. Cluster analysis used spatial autocorrelation with local Moran's I, and spatiotemporal analysis used the Space Time Pattern Mining tool in ArcGIS Pro 2.1. RESULTS: The study revealed spatial clusters of high-high locations of diabetes-related mortality rate by school district in Michigan from 2007 to 2014. Spatiotemporal analysis showed grids with intensifying, consecutive, sporadic, and persistent hotspots of diabetes-related death in the Lansing, Royal Oak, Flint City, Berkley, Detroit City, East Lansing, South Lake, and Holt public school districts. These school districts should be prioritized for school-based diabetes prevention programs. CONCLUSIONS: The study demonstrated the presence of various hotspots of diabetes-related deaths within the state of Michigan across the 8-year period of analysis. Understanding spatial and temporal hotspots could further improve our ability to evaluate diabetes burden across both time and space.

Mapping diabetes burden by school-district for school-based diabetes prevention interventions in selected cities in Michigan, USA.

To decrease diabetes morbidity and mortality rates, early interventions are needed to change lifestyles that are often cemented early, making school-based interventions important. However, with limited resources and lack of within-county diabetes data, it is difficult to determine which local areas require intervention. To identify at-risk school districts, this study mapped diabetes prevalence and related deaths by school district using geographic information systems (GIS). The 2010-2014 records of diabetes-related deaths were identified for 13 cities in Michigan, USA. Diabetes prevalence was estimated using the weighted average of population by school district from the '500 Cities Project' of the Centres of Disease Control and prevention (CDC). Prevalence and mortality rates were mapped by school district and the correlation between diabetes prevalence and mortality rate analysed using the Spearman's rank correlation. Years of potential life lost (YPLL) were calculated using a 75-year endpoint. The result indicated there were geographic variations in diabetes prevalence, mortality and YPLL across Michigan. Most census tracts in the cities of Detroit, Flint and downtown Grand Rapids had higher diabetes prevalence and mortality rate with rs (628)=0.52, P<0.005. School districts with high mortality rates also had high prevalence with rs (13)=0.72, P=0.002. Flint City School District showed a higher rate of diabetes prevalence, death and YPLL than others and should thus be considered a priority for diabetes prevention interventions. Using school districts as the geographic spatial unit of analysis, we identified local variation in diabetes burden for targeting school-based diabetes prevention interventions.

Predicting coliform presence in private wells as a function of well characteristics, parcel size and leachfield soil rating.

Public water systems must be tested frequently for coliform bacteria to determine whether other pathogens may be present, yet no testing or disinfection is required for private wells. In this paper, we identify whether well age, type of well, well depth, parcel size, and soil ratings for a leachfield can predict the probability of detecting coliform bacteria in private wells using a multivariate logistic regression model. Samples from 1163 wells were analyzed for the presence of coliform bacteria between October 2017 and October 2019 across Gaston County, North Carolina, USA. The maximum well age was 30 years, and bored wells (median age = 24 years) were older than drilled wells (median age = 19 years). Bored wells were shallower (mean depth = 18 m) compared to drilled wells (mean depth = 79 m). We found coliform bacteria in 329 samples, including 290 of 1091 drilled wells and 39 of 72 bored wells. The model results showed bored wells were 4.76 times more likely to contain bacteria compared to drilled wells. We found that the likelihood of coliform bacteria significantly increased with well age, suggesting that those constructed before well standards were enforced in 1989 may be at a higher risk. We found no significant association between poorly rated soils for a leachfield, well depth, parcel size and the likelihood of having coliform in wells. These findings can be leveraged to determine areas of concern to encourage well users to take action to reduce their risk of drinking possible pathogens in well water.

Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan.

Background: One of modifiable risk factors of diabetes is unhealthy diet which is related to obesity. Individuals with childhood obesity are at higher risk of adulthood obesity. School-based diabetes prevention programs are important to reduce childhood obesity. When resources are limited, evidence-based priority need to be undertaken. However, data related to childhood obesity was not widely available, the study used diabetes-related death records as the proxy of diabetes burden. This study aimed to map and identify geographic variation of diabetes-related mortality rate by school district level in Michigan to be used for policy-relevant information. Design and Methods: This study used death records in Michigan. Diabetes-related mortality rate and years potential life lost (YPLL) was calculated at the school district level. Spatial autocorrelation local Moran's I and geographically weighted regression were used to evaluate spatial pattern of age-adjusted diabetes-related mortality rate by school districts. Results: The age-adjusted diabetes-related mortality rate ranged from 17.0 (95% CI, 8.6-25.5) to 171.3 (95% CI, 135.9-206.7) deaths per 100,000 population. The YPLL per person ranged from 0 to 19.3 years (95% CI, 15.5-23.1). High rates of diabetes-related mortality rate and YPLL clustered in East central and Southeastern region of Lower Peninsula Michigan including Flint, Kearsley, Beecher, Westwood Heights, Detroit, Ecorse, River Rouge, Taylor, Allen Park and Lincoln Consolidated school districts. Conclusions: There was variation in diabetes burden examined by diabetes-related mortality rate and YPLL at the school district level within Michigan State. The high cluster can be prioritized for the intervention programs.

Fish Consumption for the Adult Population of Hawai'i, Collected with a Self-Reported Household Survey.

The population of Hawai'i has traditionally been high in average fish consumption when compared to the national average. However, information is lacking on patterns of fish consumption among subpopulations. Data on fish consumption in the last 30 days from 11,293 adults was collected with the use of the Hawai'i Health Survey (an annual telephone survey of households and household members) during the years 2007 and 2008 and weighted to represent the adult population of Hawai'i. The US Department of Agriculture's, Environmental Protection Agency, and the United States Food and Drug Administration, recommend 8-12 ounces of fish per week for associated health benefits. Present estimates of fish consumption were skewed to the right (mean 10.5 and median 7.9 ounces) with some adults eating large amounts of fish per day and frequently. It may be of concern, given high amounts of methylmercury in select fish, that 13.7% of adults were eating fish 20 or more times per month. In addition, the serving size increased with increasing number of times per week fish was eaten. The subpopulation variables examined included age, sex, marital status, education, ethnicity, poverty, and demographics representing the adults of Hawai'i. The prevalence of adults consuming 8 or more ounces was highest for other than Honolulu counties, men, ages 18-74, married, with at least one year of college, Filipino and Native Hawaiian ethnicities (White, Japanese, Chinese, and All Others were also examined), employed, and adults living with higher income levels (lower poverty). However, only an estimated 46.9% of adults in Hawai'i were eating the eight or more ounces of fish weekly. Prevalence was lowest for women, Chinese, age >74 years, and the City and County of Honolulu. Adults who rated their general health better (excellent/good compared to fair/poor) were more likely to consume 8 or more ounces of fish per week, significantly for men. Men who rated their physical health higher and their mental health higher (via Optum SF™ Health Surveys) were associated with higher prevalence of consuming 8 or more ounces of fish per week. Higher consumption of the beneficial omega-3 fatty acids associated with fish low in methylmercury needs to be encouraged for those not meeting the recommended ounces of fish per week, particularly women, Chinese, older age groups, and adults living below the poverty level.

Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan.

We determine the impact of residential mobility in the prevalence and transmission dynamics of sexually transmitted infections. We illustrate our approach on reported chlamydia infections obtained from the Michigan Disease Surveillance System for Kalamazoo County, USA, from 2006 to 2014. We develop two scenarios, one with fixed residential addresses and one considering residential mobility. We then compare the resulting space-time clusters and relative risk (RR) of infection. The space-time scan statistics showed increased RR in an area with previously low risk of sexually transmitted infections. In addition, even though the spatial extent of the three clusters identified did not change significantly at the scale we conducted our analysis at, the temporal extent (duration) did exhibit significant changes and could be considered for unique interventions. The results indicate that residential mobility has some dependency on the prevalence and transmission dynamics of sexually transmitted infections to new areas. We suggest that strategies adopted to reduce the burden of sexually transmitted infections take into consideration the relatively high residential mobility of at-risk populations to reduce spreading the infections to new areas.

Geospatial Analysis of Birth Records to Target Programming for Mothers With Gestational Diabetes Mellitus in Michigan, 2013.

OBJECTIVES: The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan. MATERIALS AND METHODS: We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate). RESULTS: We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses. PRACTICE APPLICATIONS: Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal-child health interventions.

A Prospective, Randomized Trial of Mobilization Protocols Following Ligament Reconstruction and Tendon Interposition.

BACKGROUND: The purpose of this study was to evaluate the hypothesis that an increased duration of immobilization following trapeziectomy with ligament reconstruction and tendon interposition (LRTI) leads to improved patient-reported outcomes compared with an early mobilization protocol. METHODS: At 2 institutions, we prospectively randomized 223 patients (238 thumbs) undergoing LRTI to receive 1 of 2 postoperative rehabilitation protocols. The immobilization protocol consisted of use of a postoperative forearm-based thumb-spica splint for 7 days followed by a forearm-based thumb-spica cast for 5 weeks and then by a custom forearm-based thermoplastic thumb-spica splint for an additional 6 weeks. An active range of motion (ROM) was started 6 weeks postoperatively. The early mobilization protocol consisted of the same postoperative splint for 7 days followed by use of a forearm-based thermoplastic thumb-spica splint for 3 weeks and then by a hand-based thumb-spica splint for 4 weeks. An active ROM was started 4 weeks postoperatively. The outcome measures included the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire; pinch and grip strength; 9-hole peg test (NHP); visual analog scale (VAS) for pain; VAS for patient satisfaction; and wrist and thumb ROM. These were measured preoperatively and at 6, 12, 26, 52, and 104 weeks postoperatively. Differences in continuous and categorical variables were assessed with use of Tukey multiple comparisons following 1-way analysis of variance and Fisher exact tests, respectively. RESULTS: A minimum follow-up of 1 year (mean, 1.7 years) was achieved for 71% (169) of the 238 randomized thumbs (157 of the 223 patients): 74 patients (80 thumbs) treated with the immobilization protocol and 83 patients (89 thumbs) treated with the early mobilization protocol. DASH scores, VAS pain scores, VAS patient satisfaction scores, and strength all improved similarly with no significant differences between groups at any time point. Wrist and thumb ROM and NHP outcomes were significantly worse for the immobilization group at 6 weeks postoperatively, with no differences observed between groups at 12 weeks and beyond. CONCLUSIONS: A conservative immobilization protocol does not improve functional outcomes, satisfaction, strength, or ROM following LRTI compared with an early mobilization protocol. LEVEL OF EVIDENCE: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.

Assessing the association of diabetes self-management education centers with age-adjusted diabetes rates across U.S.: Aspatial cluster analysis approach.

The purpose of this study is to identify regions with diabetes health-service shortage. American Diabetes Association (ADA)-accredited diabetes self-management education (DSME) is recommended for all those with diabetes. In this study, we focus on demographic patterns and geographic regionalization of the disease by including accessibility and availability of diabetes education resources as a critical component in understanding and confronting differences in diabetes prevalence, as well as addressing regional or sub-regional differences in awareness, treatment and control. We conducted an ecological county-level study utilizing publicly available secondary data on 3,109 counties in the continental U.S. We used a Bayesian spatial cluster model that enabled spatial heterogeneities across the continental U.S. to be addressed. We used the American Diabetes Association (ADA) website to identify 2012 DSME locations and national 2010 county-level diabetes rates estimated by the Centers for Disease Control and Prevention and identified regions with low DSME program availability relative to their diabetes rates and population density. Only 39.8% of the U.S. counties had at least one ADA-accredited DSME program location. Based on our 95% credible intervals, age-adjusted diabetes rates and DSME program locations were associated in only seven out of thirty five identified clusters. Out of these seven, only two clusters had a positive association. We identified clusters that were above the 75th percentile of average diabetes rates, but below the 25th percentile of average DSME location counts and found that these clusters were all located in the Southeast portion of the country. Overall, there was a lack of relationship between diabetes rates and DSME center locations in the U.S., suggesting resources could be more efficiently placed according to need. Clusters that were high in diabetes rates and low in DSME placements, all in the southeast, should particularly be considered for additional DSME programming.

Modelling individual vulnerability to sexually transmitted infections to optimise intervention strategies: analysis of surveillance data from Kalamazoo County, Michigan, USA.

OBJECTIVE: We modelled individual vulnerability to STI using personal history of infection and neighbourhood characteristics. METHODS: Retrospective chlamydia and gonorrhoea data of reported confirmed cases from Kalamazoo County, Michigan for 2012 through 2014 were analysed. Unique IDs were generated from the surveillance data in collaboration with local health officials to track the individual STI histories. We then examine the concept that individuals with similar STI histories form a 'peer' group. These peer group include: (1) individuals with a single chlamydia; (2) individuals with single gonorrhoea; (3) individuals with repeated cases of one type of STI and (4) individuals that were diagnosed with both infections during the study period. Using Kernel density estimation, we generated densities for each peer group and assigned the intensity of the infection to the location of the individual. Finally, the individual vulnerability was characterised through ordinary least square regression (OLS) using demographics and socioeconomic variables. RESULTS: In an OLS regression adjusted for frequency of infection, individual vulnerability to STI was only consistently significant for race and neighbourhood-level socioeconomic status (SES) in all the models under consideration. In addition, we identified six areas in three townships in Kalamazoo County that could be considered for unique interventions based on overlap patterns among peer groups. CONCLUSIONS: The results provide evidence that individual vulnerability to STI has some dependency on individual contextual (race) and exogenous factors at the neighbourhood level such as SES, regardless of that individual's personal history of infection. We suggest place-based intervention strategies be adopted for planning STI interventions instead of current universal screening of at-risk populations.

Prevalence and diversity of avian Haemosporida infecting songbirds in southwest Michigan.

Avian blood parasites from the genera Plasmodium, Haemoproteus, and Leucocytozoon (Haemosporida) affect hosts in numerous ways. They influence species interactions, host behavior, reproductive success, and cause pathology and mortality in birds. The Great Lakes region of North America has extensive aquatic and wetland habitat and supports a diverse vector community. Here we describe the community of bird-infecting Haemosporida in southwest Michigan and their host associations by measuring parasite prevalence, diversity, and host breadth across a diverse community of avian hosts. Over 700 songbirds of 55 species were screened for Haemosporida infection across southwest Michigan, including 11 species that were targeted for larger sample sizes. In total, 71 parasite lineages infected over 40% of birds. Of these, 42 were novel, yet richness estimates suggest that approximately half of the actual parasite diversity in the host community was observed despite intensive sampling of multiple host species. Parasite prevalence varied among parasite genera (7-24%) and target host species (0-85%), and parasite diversity was consistently high across most target species. Host breadth varied widely across the most prevalent parasite lineages, and we detected around 60% of host species richness for these parasite lineages. We report many new lineages and novel host-parasite associations, but substantial parasite diversity remains undiscovered in the Midwest.

Antibiotic resistant bacteria are widespread in songbirds across rural and urban environments.

The widespread use of antibiotics in human and veterinary medicine to treat pathogenic bacteria has resulted in the rapid emergence of antibiotic-resistant bacteria (ARB). Wild animals may enable the spread of pathogenic and non-pathogenic ARB when they are exposed to reservoirs (e.g., contaminated soil, water, or crops) and carry ARB in and on their bodies to other environments. We tested for the presence of ARB in four songbird species in southwest Michigan across a gradient of land use. Our specific objectives were to: 1) quantify the prevalence of ARB found in the gut microbiome of birds; 2) identify the specific bacteria exhibiting resistance; 3) assess whether ARB prevalence and identity varied among bird species; and 4) assess whether anthropogenic land use influenced the prevalence and identity of ARB found on birds. We sampled birds across a land use gradient consisting of urban, agricultural, and natural land covers using a randomized, spatially-balanced sampling design and cultured bacteria from fecal samples in the presence of three different antibiotics (amoxicillin, tetracycline, and ciprofloxacin). Overall prevalence of ARB was high, with 88% of total birds carrying ARB resistant to one of three antibiotics that we tested. Resistance to amoxicillin was more common (83% of sampled birds) than resistance to tetracycline (15%) or ciprofloxacin (1%). Identified ARB were diverse, and included 135 isolates representing 5 bacterial phyla and 22 genera. There was no effect of land use on ARB prevalence, with 90% of sampled birds captured in rural sites and 85% of sampled birds in urban sites carrying ARB. We provide the first analysis of ARB prevalence across multiple bird species and land uses utilizing a spatially-balanced, randomized study design. Our results demonstrate that nearly all sampled birds carried at least some ARB, and that they may serve as important dispersal agents of ARB across large spatial scales.

Decomposing an urban soundscape to reveal patterns and drivers of variation in anthropogenic noise.

Continuous and intermittent noise may have different effects on humans and wildlife, therefore distinguishing temporal patterns of noise and their drivers is important for policy regarding both public health and wildlife management. We visualized patterns and explored land-use drivers of continuous and high-amplitude intermittent sound pressure levels (SPLs) on an urban campus in Michigan, U.S.A. To visualize patterns of SPLs, we introduce decibel duration curves (DDCs), which show the cumulative frequency distribution of SPLs and aid in the interpretation of statistical SPLs (Ln values) that reflect continuous versus intermittent sounds. DDCs and Ln values reveal that our 24 recording locations varied in the intensity of both continuous and intermittent noise, with intermittent high-amplitude sound events in particular contributing to variability in SPLs over the study site. Time of day influenced both continuous and intermittent SPLs, as locations relatively close to manmade structures (buildings, roads and parking lots) experienced higher SPLs as the day progressed. Continuous SPLs increased with decreasing distance to manmade structures, whereas intermittent SPLs increased with decreasing distance to roads and increasing distance to buildings. Thus, different land-use factors influenced patterns of continuous and intermittent noise, which suggests that different policy and strategies may be needed to ameliorate their effects on the public and wildlife.

The Ebola Vaccine Team B: a model for promoting the rapid development of medical countermeasures for emerging infectious disease threats.

In support of accelerated development of Ebola vaccines from preclinical research to clinical trials, in November, 2014, the Wellcome Trust and the Center for Infectious Disease Research and Policy (CIDRAP) at the University of Minnesota established the Wellcome Trust-CIDRAP Ebola Vaccine Team B initiative. This ongoing initiative includes experts with global experience in various phases of bringing new vaccines to market, such as funding, research and development, manufacturing, determination of safety and efficacy, regulatory approval, and vaccination delivery. It also includes experts in community engagement strategies and ethical issues germane to vaccination policies, including eight African scientists with direct experience in developing and implementing vaccination policies in Africa. Ebola Vaccine Team B members have worked on a range of vaccination programmes, such as polio eradication (Africa and globally), development of meningococcal A disease vaccination campaigns in Africa, and malaria and HIV/AIDS vaccine research. We also provide perspective on how this experience can inform future situations where urgent development of vaccines is needed, and we comment on the role that an independent, expert group such as Team B can have in support of national and international public health authorities toward addressing a public health crisis.

The interplay of race, socioeconomic status and neighborhood residence upon birth outcomes in a high black infant mortality community.

This study examined the interrelationship of race and socioeconomic status (SES) upon infant birthweight at the individual and neighborhood levels within a Midwestern US county marked by high Black infant mortality. The study conducted a multi-level analysis utilizing individual birth records and census tract datasets from 2010, linked through a spatial join with ArcGIS 10.0. The maternal population of 2861 Black and White women delivering infants in 2010, residing in 57 census tracts within the county, constituted the study samples. The main outcome was infant birthweight. The predictors, race and SES were dichotomized into Black and White, low-SES and higher-SES, at both the individual and census tract levels. A two-part Bayesian model demonstrated that individual-level race and SES were more influential birthweight predictors than community-level factors. Specifically, Black women had 1.6 higher odds of delivering a low birthweight (LBW) infant than White women, and low-SES women had 1.7 higher odds of delivering a LBW infant than higher-SES women. Moderate support was found for a three-way interaction between individual-level race, SES and community-level race, such that Black women achieved equity with White women (4.0% Black LBW and 4.1% White LBW) when they each had higher-SES and lived in a racially congruous neighborhood (e.g., Black women lived in disproportionately Black neighborhood and White women lived in disproportionately White neighborhood). In sharp contrast, Black women with higher-SES who lived in a racially incongruous neighborhood (e.g., disproportionately White) had the worst outcomes (14.5% LBW). Demonstrating the layered influence of personal and community circumstances upon health, in a community with substantial racial disparities, personal race and SES independently contribute to birth outcomes, while environmental context, specifically neighborhood racial congruity, is associated with mitigated health risk.

Investigating Measures of Social Context on 2 Population-Based Health Surveys, Hawaii, 2010-2012.

Measures from the Social Context Module of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System were used on 2 population-based health surveys in Hawaii to explicate the role of the nonmedical and social determinants of health; these measures were also compared with conventional socioeconomic status (SES) variables. Results showed that the self-reported SES vulnerabilities of food and housing insecurity are both linked to demographic factors and physical and mental health status and significant when controlling for the conventional measures of SES. The social context module indicators should be increasingly used so results can inform appropriate interventions for vulnerable populations.

Prognosis Related to Metastatic Burden Measured by ¹8F-Fluorocholine PET/CT in Castration-Resistant Prostate Cancer.

UNLABELLED: This study investigated the prognostic significance of metabolically active tumor volume (MATV) measurements applied to (18)F-fluorocholine PET/CT in castration-resistant prostate cancer (CRPC). METHODS: (18)F-fluorocholine PET/CT imaging was performed on 30 patients with CRPC. Metastatic disease was quantified on the basis of maximum standardized uptake value (SUV(max)), MATV, and total lesion activity (TLA = MATV × mean standardized uptake value). Tumor burden indices derived from whole-body summation of PET tumor volume measurements (i.e., net MATV and net TLA) were evaluated as variables in Cox regression and Kaplan-Meier survival analyses. RESULTS: Net MATV ranged from 0.12 cm(3) to 1,543.9 cm(3) (median, 52.6 cm(3)). Net TLA ranged from 0.40 to 6,688.7 g (median, 225.1 g). Prostate-specific antigen level at the time of PET correlated significantly with net MATV (Pearson r = 0.65, P = 0.0001) and net TLA (r = 0.60, P = 0.0005) but not highest lesional SUV(max) of each scan. Survivors were followed for a median 23 mo (range, 6-38 mo). On Cox regression analyses, overall survival had a significant association with net MATV (P = 0.0068), net TLA (P = 0.0072), and highest lesion SUV(max) (P = 0.0173) and a borderline association with prostate-specific antigen level (P = 0.0458). Only net MATV and net TLA remained significant in univariate-adjusted survival analyses. Kaplan-Meier analysis demonstrated significant differences in survival between groups stratified by median net MATV (log-rank P = 0.0371), net TLA (log-rank P = 0.0371), and highest lesion SUV(max) (log-rank P = 0.0223). CONCLUSION: Metastatic prostate cancer detected by (18)F-fluorocholine PET/CT can be quantified on the basis of volumetric measurements of tumor metabolic activity. The prognostic value of (18)F-fluorocholine PET/CT may stem from this capacity to assess whole-body tumor burden. With further clinical validation, (18)F-fluorocholine PET-based indices of global disease activity and mortality risk could prove useful in patient-individualized treatment of CRPC.

The influence of community and individual health literacy on self-reported health status.

BACKGROUND: Individual health literacy is an established predictor of individual health outcomes. Community-level health literacy may also impact individual health, yet limited research has simultaneously considered the influence of individual and community health literacy on individual health. OBJECTIVE: The study goal was to determine if community health literacy had an independent relationship with individual self-reported health beyond individual health literacy. DESIGN: We used data from the 2008 and 2010 Hawai'i Health Survey, a representative statewide telephone survey. Multilevel models predicted individual self-reported health by both individual and community health literacy, controlling for relevant individual-level (education, race/ethnicity, gender, poverty, insurance status, age, and marital status) and community-level variables (community poverty and community education). PARTICIPANTS: The sample included 11,779 individuals within 37 communities. MAIN MEASURES: Individual health literacy was defined by validated self-reported measurement. Communities were defined by zip code combinations. Community health literacy was defined as the percentage of individuals within a community reporting low health literacy. Census data by ZIP Code Tabulation Areas provided community-level variables. KEY RESULTS: In descriptive results, 18.2 % self-reported low health literacy, and 14.7 % reported self-reported poor health. Community-level low health literacy ranged from 5.37 % to 35.99 %. In final, multilevel models, both individual (OR: 2.00; 95 % CI: 1.63-2.44) and community low health literacy (OR: 1.02; 95 % CI: 1.00-1.03) were significantly positively associated with self-reported poor health status. Each percentage increase of average low health literacy within a community was associated with an approximately 2 % increase in poor self-reported health for individuals in that community. Also associated with poorer health were lower educational attainment, older age, poverty, and non-White race. CONCLUSIONS: Both individual and community health literacy are significant, distinct correlates of individual general health status. Primary care providers and facilities should consider and address health literacy at both community and individual levels.

A test of the circumvention-of-limits hypothesis in scientific problem solving: the case of geological bedrock mapping.

Sources of individual differences in scientific problem solving were investigated. Participants representing a wide range of experience in geology completed tests of visuospatial ability and geological knowledge, and performed a geological bedrock mapping task, in which they attempted to infer the geological structure of an area in the Tobacco Root Mountains of Montana. A Visuospatial Ability × Geological Knowledge interaction was found, such that visuospatial ability positively predicted mapping performance at low, but not high, levels of geological knowledge. This finding suggests that high levels of domain knowledge may sometimes enable circumvention of performance limitations associated with cognitive abilities.