Exploring Spatial Patterning and the Impact of Obesogenic built Environments for Youth Obesity

Youth obesity is a major public health concern due to an array of physical, social, and psychological health consequences. Residential location, often referred to as ‘place’, has continued to emerge as a key health determinant with studies showing that where a child lives impacts their health. Environments where it is easy for individuals to have low levels of physical activity – either by discouraging active behavior or promoting sedentary behavior – and easy for individuals to consume unhealthful foods – either by the limited availability of healthful foods or increased availability of unhealthy foods – have been coined ‘obesogenic’. Additional research is needed to improve measurement of obesogenic built environments and test associations with childhood obesity. This study occurred in a southeastern US county (population:474,266) in 2013 and combined four unique datasets: 1) demographic, weight status, and addresses from all 3rd through 5th grade youth enrolled in a large southeastern school district (n=13,469), 2) detailed audit data on all public park facilities, 3) location of all food stores and restaurants , and 4) sociodemographic Census data. Global Moran’s Index and Anselin’s Local Moran’s I (LISA) were used to detect global and local spatial clustering of youth obesity, while residuals from a series of linear regression models were subsequently spatially analyzed and mapped to examine correlates of spatial clustering. Significant, positive global clustering (Index=0.04,p\u3c0.001) was detected. In addition, LISA results showed that about 4.7% (n=635) and 7.9% (n=1,058) of the sample were identified as high and low obesity localized spatial clusters (p\u3c0.01). Individual and neighborhood sociodemographic characteristics accounted for the majority of spatial clustering and differential patterns emerged by level of urbanization (e.g., urban, suburban, rural). The second part of this study developed and tested an obesogenic built environment measure. Public parks (n=103) were identified and then scored using detailed audit data, while two commercial databases of food stores (n=395) and restaurants (n=717) were collected, categorized, and geocoded. Grocery stores that offered access to fresh produce were classified as ‘healthy’ while convenience stores, discount/drug stores, fast food restaurants, and fast casual restaurants with less access to fresh produce were classified as ‘less healthy’. Using GIS techniques, kernel density estimation procedures were used to create, normalize, and summarize separate raster (pixel) surfaces representing the nutrition and park environments. Using multilevel linear analyses, results showed that health promoting built environments, as indicated by availability of parks, presence of healthy food stores, and lack of unhealthy food outlets, were related to lower BMI z-score among youth (b=-0.25, p\u3c0.05). Identifying geographic areas that contain spatial clusters is a powerful tool for understanding the location of and contributing factors to patterns of childhood obesity. Environments that were classified as health promoting by providing greater access to public spaces to be active and places to consume healthier food options were related to lower youth obesity. This dissertation study integrated innovative methodology to analyze spatial patterns of youth obesity and develop and test a unique characterization of obesogenic built environments

ParkIndex: Validation and Application of a Pragmatic Measure of Park Access and Use

Composite metrics integrating park availability, features, and quality for a given address or neighborhood are lacking. The purposes of this study were to describe the validation, application, and demonstration of ParkIndex in four diverse communities. This study occurred in Fall 2018 in 128 census block groups within Seattle(WA), Brooklyn(NY), Raleigh(NC), and Greenville County(SC). All parks within a half-mile buffer were audited to calculate a composite park quality score, and select households provided data about use of proximal parks via an online, map-based survey. For each household, the number of parks, total park acreage, and average park quality score within one half-mile were calculated using GIS. Logistic regression was used to identify a parsimonious model predicting park use. ParkIndex values (representing the probability of park use) were mapped for all study areas and after scenarios involving the addition and renovation/improvement of parks. Out of 360 participants, 23.3% reported visiting a park within the past 30 days. The number of parks (OR = 1.36, 95% CI = 1.15–1.62), total park acreage (OR = 1.13, 95% CI = 1.07–1.19), and average park quality score (OR = 1.04, 95% CI = 1.01–1.06) within one half-mile were all associated with park use. Composite ParkIndex values across the study areas ranged from 0 to 100. Hypothetical additions of or renovations to study area parks resulted in ParkIndex increases of 22.7% and 19.2%, respectively. ParkIndex has substantial value for park and urban planners, citizens, and researchers as a common metric to facilitate awareness, decision-making, and intervention planning related to park access, environmental justice, and community health

Impact of community-based participatory initiative on children\u27s pedometer-determined physical activity

Abstract of poster that presented at 2013 AAHPERD National Convention & Exposition, Charlotte, NC , 23-27 April 2013

What will B will B: identifying molecular determinants of diverse B-cell fate decisions through systems biology

B-cells are the poster child for cellular diversity and heterogeneity. The diverse repertoire of B lymphocytes, each expressing unique antigen receptors, provides broad protection against pathogens. However, B-cell diversity goes beyond unique antigen receptors. Side-stepping B-cell receptor (BCR) diversity through BCR-independent stimuli or engineered organisms with monoclonal BCRs still results in seemingly identical B-cells reaching a wide variety of fates in response to the same challenge. Identifying to what extent the molecular state of a B-cell determines its fate is key to gaining a predictive understanding of B-cells and consequently the ability to control them with targeted therapies. Signals received by B-cells through transmembrane receptors converge on intracellular molecular signaling networks, which control whether each B-cell divides, dies, or differentiates into a number of antibody-secreting distinct B-cell subtypes. The signaling networks that interpret these signals are well known to be susceptible to molecular variability and noise, providing a potential source of diversity in cell fate decisions. Iterative mathematical modeling and experimental studies have provided quantitative insight into how B-cells achieve distinct fates in response to pathogenic stimuli. Here, we review how systems biology modeling of B-cells, and the molecular signaling networks controlling their fates, is revealing the key determinants of cell-to-cell variability in B-cell destiny

The Effectiveness of Incarceration-Based Drug Treatment on Criminal Behavior: A Systematic Review

Many, if not most, incarcerated offenders have substance abuse problems. Without effective treatment, these substance-abusing offenders are likely to persist in non-drug offending. The period of incarceration offers an opportunity to intervene in the cycle of drug abuse and crime. Although many types of incarceration-based drug treatment programs are available (e.g., therapeutic communities and group counseling), the effectiveness of these programs is unclear. The objective of this research synthesis is to systematically review quasi-experimental and experimental (RCT) evaluations of the effectiveness of incarceration-based drug treatment programs in reducing post-release recidivism and drug relapse. A secondary objective of this synthesis is to examine variation in effectiveness by programmatic, sample, and methodological features. In this update of the original 2006 review (see Mitchell, Wilson, and MacKenzie, 2006), studies made available since the original review were included in an effort to keep current with emerging research. This synthesis of evaluations of incarceration-based drug treatment programs found that such programs are modestly effective in reducing recidivism. These findings most strongly support the effectiveness of therapeutic communities, as these programs produced relatively consistent reductions in recidivism and drug use. Both counseling and incarceration-based narcotic maintenance programs had mixed effects. Counseling programs were associated with reductions in recidivism but not drug use; whereas, incarceration-based narcotic maintenance programs were associated with reductions in drug use but not recidivism. Note that our findings regarding the effectiveness of incarceration-based narcotic maintenance programs differ from a larger review of community-based narcotic maintenance programs (see Egli, Pina, Christensen, Aebi, and Killias, 2009). Finally, boot camp programs for drug offenders had negligible effects on both recidivism and drug use

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Observation of gravitational waves from the coalescence of a 2.5–4.5 M ⊙ compact object and a neutron star

We report the observation of a coalescing compact binary with component masses 2.5–4.5 M ⊙ and 1.2–2.0 M ⊙ (all measurements quoted at the 90% credible level). The gravitational-wave signal GW230529_181500 was observed during the fourth observing run of the LIGO–Virgo–KAGRA detector network on 2023 May 29 by the LIGO Livingston observatory. The primary component of the source has a mass less than 5 M ⊙ at 99% credibility. We cannot definitively determine from gravitational-wave data alone whether either component of the source is a neutron star or a black hole. However, given existing estimates of the maximum neutron star mass, we find the most probable interpretation of the source to be the coalescence of a neutron star with a black hole that has a mass between the most massive neutron stars and the least massive black holes observed in the Galaxy. We provisionally estimate a merger rate density of 55−47+127Gpc−3yr−1 for compact binary coalescences with properties similar to the source of GW230529_181500; assuming that the source is a neutron star–black hole merger, GW230529_181500-like sources may make up the majority of neutron star–black hole coalescences. The discovery of this system implies an increase in the expected rate of neutron star–black hole mergers with electromagnetic counterparts and provides further evidence for compact objects existing within the purported lower mass gap

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM