Neighborhood-level Factors Research Articles

Are individual-level risk factors for gastroschisis modified by neighborhood-level socioeconomic factors?

Two strong risk factors for gastroschisis are young maternal age (<20 years) and low/normal pre-pregnancy body mass index (BMI), yet the reasons remain unknown. We explored whether neighborhood-level socioeconomic position (nSEP) during pregnancy modified these associations. We analyzed data from 1269 gastroschisis cases and 10,217 controls in the National Birth Defects Prevention Study (1997-2011). To characterize nSEP, we applied the neighborhood deprivation index and used generalized estimating equations to calculate odds ratios and relative excess risk due to interaction. Elevated odds of gastroschisis were consistently associated with young maternal age and low/normal BMI, regardless of nSEP. High-deprivation neighborhoods modified the association with young maternal age. Infants of young mothers in high-deprivation areas had lower odds of gastroschisis (adjusted odds ratio [aOR]: 3.1, 95% confidence interval [CI]: 2.6, 3.8) than young mothers in low-deprivation areas (aOR: 6.6; 95% CI: 4.6, 9.4). Mothers of low/normal BMI had approximately twice the odds of having an infant with gastroschisis compared to mothers with overweight/obese BMI, regardless of nSEP (aOR range: 1.5-2.3). Our findings suggest nSEP modified the association between gastroschisis and maternal age, but not BMI. Further research could clarify whether the modification is due to unidentified biologic and/or non-biologic factors.

Multilevel Effects of Environmental and Neighborhood Factors on Sober Living House Resident 12-Month Outcomes.

Sober living houses (SLHs) are abstinence-based environments designed for individuals in recovery to live with others in recovery. Research shows that SLHs help some individuals maintain recovery and that certain SLH-related factors may be particularly protective. Here we assess how SLH housing and neighborhood characteristics are related to abstinence and psychiatric symptoms over time. Baseline, 6-month, and 12-month data were collected from 557 SLH residents. Multilevel mixed models tested associations between house and neighborhood characteristics and individual-level percent days abstinent (PDA) and the number of psychiatric symptoms (measured with the Psychiatric Diagnostic Screening Questionnaire [PDSQ]) as outcomes. Final models adjusted for sex, age, and race/ethnicity; ratings of house characteristics; and objective measurements of neighborhood-level exposures. Both PDA and PDSQ improved significantly (ps ≤ .05) over time in both unadjusted and adjusted models. More self-help groups and fewer alcohol outlets within one mile were significantly protective for PDA, whereas walkability was significantly related to worse PDA and PDSQ (ps ≤ .05). For house-level factors, better ratings of house maintenance were related to significantly fewer psychiatric symptoms, whereas higher scores on SLH's safety measures and personal or residence identity were related to more psychiatric symptoms (ps ≤ .05). No house-level factor was significantly related to PDA. Neighborhood-level factors such as increased availability of self-help groups and fewer nearby alcohol outlets may increase abstinence among individuals living in SLHs. House-level factors related to better maintenance may also facilitate improved mental health.

Community led housing, health and wellbeing: a comprehensive literature review

Community Led Housing (CLH) is an umbrella term encompassing several non-profit models of housing delivery, which is used internationally. There has been little comprehensive assessment of the health impacts of housing arrangements where people intentionally live or work together in a community. This systematic review provides the first overview of the health, wellbeing and heath inequality impacts of all forms of CLH. 4,091 literature items were identified from a structured search of eight databases and manual searching for grey literature. Literature published between January 2009 and June 2022, in OECD countries, were eligible. 34 academic and 11 grey literature items were included. The review identifies far more literature reporting that CLH has positive rather than negative impacts, on primary health outcomes and on neighbourhood level factors which impact on health (social contact, employment, safety, environmental sustainability, and affordability). There is a lack of research on CLH impacts on the health of children and young people, and on health inequalities. These findings provide an indication of largely positive impacts of CLH arrangements on health and wellbeing. They indicate the importance of further longitudinal, objective research, and of policies and actions to support this form of housing delivery.

Association between neighborhood disadvantage and children's oral health outcomes in urban families in the Chicago area.

The prevalence of childhood caries in urban Chicago, compared with national and state data, indicates that neighborhood context influences oral health. Our objective was to delineate the influence of a child's neighborhood on oral health outcomes that are predictive of caries (toothbrushing frequency and plaque levels). Our study population represents urban, Medicaid-enrolled families in the metropolitan Chicago area. Data were obtained from a cohort of participants (child-parent dyads) who participated in the Coordinated Oral Health Promotion (CO-OP) trial at 12 months of study participation (N = 362). Oral health outcomes included toothbrushing frequency and plaque levels. Participants' neighborhood resource levels were measured by the Area Deprivation Index (ADI). Linear and logistic regression models were used to measure the influence of ADI on plaque scores and toothbrushing frequency, respectively. Data from 362 child-parent dyads were analyzed. The mean child age was 33.6 months (SD 6.8). The majority of children were reported to brush at least twice daily (n = 228, 63%), but the mean plaque score was 1.9 (SD 0.7), classified as "poor." In covariate-adjusted analyses, ADI was not associated with brushing frequency (0.94, 95% CI 0.84-1.06). ADI was associated with plaque scores (0.05, 95% CI 0.01-0.09, p value = 0.007). Findings support the hypothesis that neighborhood-level factors influence children's plaque levels. Because excessive plaque places a child at high risk for cavities, we recommend the inclusion of neighborhood context in interventions and policies to reduce children's oral health disparities. Existing programs and clinics that serve disadvantaged communities are well-positioned to support caregivers of young children in maintaining recommended oral health behaviors.

Wildfire smoke knows no borders: Differential vulnerability to smoke effects on cardio-respiratory health in the San Diego-Tijuana region.

Exposure to fine particles in wildfire smoke is deleterious for human health and can increase cases of cardio-respiratory illnesses and related hospitalizations. Neighborhood-level risk factors can increase susceptibility to environmental hazards, such as air pollution from smoke, and the same exposure can lead to different health effects across populations. While the San Diego-Tijuana border can be exposed to the same wildfire smoke event, socio-demographic differences may drive differential effects on population health. We used the October 2007 wildfires, one the most devastating wildfire events in Southern California that brought smoke to the entire region, as a natural experiment to understand the differential effect of wildfire smoke on both sides of the border. We applied synthetic control methods to evaluate the effects of wildfire smoke on cardio-respiratory hospitalizations in the Municipality of Tijuana and San Diego County separately. During the study period (October 11th- October 26th, 2007), 2009 hospital admissions for cardio-respiratory diseases occurred in San Diego County while 37 hospital admissions were reported in the Municipality of Tijuana. The number of cases in Tijuana was much lower than San Diego, and a precise effect of wildfire smoke was detected in San Diego but not in Tijuana. However, social drivers can increase susceptibility to environmental hazards; the poverty rate in Tijuana is more than three times that of San Diego. Socio-demographics are important in modulating the effects of wildfire smoke and can be potentially useful in developing a concerted regional effort to protect populations on both sides of the border from the adverse health effects of wildfire smoke.

1147-P: Disparities in Insulin Pump and CGM Use in Youth with Type 1 Diabetes

Youth with T1D of underrepresented race/ethnicity (URE) have lower pump/CGM use, higher A1c, and greater DKA risk; however, the correlation of social determinants of health (SDoH) and neighborhood-level factors to pump/CGM use and clinical outcomes are unknown. In this study, multivariable models were used to evaluate the association of race/ethnicity, SDoH factors, and area deprivation index (ADI, range 1-10 with 10 being most deprived neighborhood) with pump/CGM use, A1c, and DKA in 1,461 T1D youth (50% F, age 12.8 ± 3.6 yrs, A1c 8.7 ± 2.1%, 52% pump, 70% CGM) seen over a 1-yr period. Youth were less likely to use a pump if they were Black or Hispanic, had Medicaid or were uninsured, received government assistance (i.e., SSI, Temporary Assistance for Needy Families (TANF), WIC, SNAP), or lived in a higher ADI neighborhood. Youth were less likely to use CGM if they were Black or Hispanic, had Medicaid or were uninsured, or lived in a higher ADI neighborhood. Youth had higher DKA risk in the past year if they lived in a higher ADI neighborhood or had government assistance; however, pump and CGM use were associated with lower DKA risk (Figure 1). For every 1 unit increase in ADI, A1c increased by 0.09 (95% CI: 0.05, 0.13). A1c was 0.62 lower (95% CI: -0.82, -0.42) in pump users vs. not and 0.78 lower (95% CI: -0.99, -0.56) in CGM users vs. not. Advocacy efforts and QI projects promoting technology use in T1D youth of URE and lower SES may improve A1c and decrease risk of DKA. Disclosure E.R.Crain: None. R.Ramphul: None. A.Butler: None. X.C.Huang: None. C.G.Minard: None. M.J.Redondo: None. D.Desalvo: Consultant; Dexcom, Inc., Research Support; Insulet Corporation.

Social Risk Factor Associations With Presenting Visual Acuity in Patients With Microbial Keratitis

Neighborhood-level social risk factors may contribute to health disparities in microbial keratitis (MK) disease presentation. Understanding neighborhood-level factors may identify areas for revised health policies to address inequities that impact eye health. To investigate if social risk factors were associated with presenting best-corrected visual acuity (BCVA) for patients with MK. This was a cross-sectional study of patients with a diagnosis of MK. Patients presenting to the University of Michigan with a diagnosis of MK between August 1, 2012, and February 28, 2021, were included in the study. Patient data were obtained from the University of Michigan electronic health record. Individual-level characteristics (age, self-reported sex, self-reported race and ethnicity), presenting log of the minimum angle of resolution (logMAR) BCVA, and neighborhood-level factors, including measures on deprivation, inequity, housing burden, and transportation at the census block group, were obtained. Univariate associations of presenting BCVA (< 20/40 vs ≥20/40) with individual-level characteristics were assessed with 2-sample t, Wilcoxon, and χ2 tests. Logistic regression was used to test associations of neighborhood-level characteristics with the probability of presenting BCVA worse than 20/40 after adjustment for patient demographics. A total of 2990 patients with MK were identified and included in the study. Patients had a mean (SD) age of 48.6 (21.3) years, and 1723 were female (57.6%). Patients self-identified with the following race and ethnicity categories: 132 Asian (4.5%), 228 Black (7.8%), 99 Hispanic (3.5%), 2763 non-Hispanic (96.5%), 2463 White (84.4%), and 95 other (3.3%; included any race not previously listed). Presenting BCVA had a median (IQR) value of 0.40 (0.10-1.48) logMAR units (Snellen equivalent, 20/50 [20/25-20/600]), and 1508 of 2798 patients (53.9%) presented with BCVA worse than 20/40. Patients presenting with logMAR BCVA less than 20/40 were older than those who presented with 20/40 or higher (mean difference, 14.7 years; 95% CI, 13.3-16.1; P < .001). Furthermore, a larger percentage of male vs female sex patients presented with logMAR BCVA less than 20/40 (difference, 5.2%; 95% CI, 1.5-8.9; P = .04), as well as Black race (difference, 25.7%; 95% CI, 15.0%-36.5%;P < .001) and White race (difference, 22.6%; 95% CI, 13.9%-31.3%; P < .001) vs Asian race, and non-Hispanic vs Hispanic ethnicity (difference, 14.6%; 95% CI, 4.5%-24.8%; P = .04). After adjusting for age, self-reported sex, and self-reported race and ethnicity, worse Area Deprivation Index (odds ratio [OR], 1.30 per 10-unit increase; 95% CI, 1.25-1.35; P < .001), increased segregation (OR, 1.44 per 0.1-unit increase in Theil H index; 95% CI, 1.30-1.61; P < .001), higher percentage of households with no car (OR, 1.25 per 1 percentage point increase; 95% CI, 1.12-1.40; P = .001), and lower average number of cars per household (OR, 1.56 per 1 less car; 95% CI, 1.21-2.02; P = .003) were associated with increased odds of presenting BCVA worse than 20/40. Findings of this cross-sectional study suggest that in a sample of patients with MK, patient characteristics and where they live were associated with disease severity at presentation. These findings may inform future research on social risk factors and patients with MK.

The intersection of neighborhood-level disadvantage and overall lung cancer survival.

6551 Background: Despite recent advances in lung cancer therapeutics leading to considerable improvement in survival, disparities continue to persist among socially disadvantaged populations. Although the reasons underlying this phenomenon are uncertain, we posit that neighborhood-level factors could play a role. Furthermore, neighborhood disadvantage may lead to epigenetic changes which promote malignant progression. This study aimed to determine the effects of neighborhood-deprivation index (NDI), a validated 13-factor-based measure, that combines income, education, employment, and housing in a neighborhood, on lung cancer mortality. Methods: A retrospective cohort study assessed the relationship of NDI with survival weighted by age, stage, and DNA methylation among biopsy-proven lung cancer from two U.S. medical centers, Johns Hopkins University and the University of Illinois Chicago, between 2008-2020. In our analysis, U.S.-standardized NDI values for each year of sample collection were computed at the U.S. census tract level and categorized into quartiles. Participants’ residential addresses were geocoded to U.S. census tracts and linked to NDI quartiles. DNA extraction from liquid biopsy samples was performed for quantification of DNA methylation. Results: The study included 184 lung cancer patients, with 89 in the low-deprivation group and 95 in the high-deprivation group. The high-deprivation group had a higher percentage of females (57% vs. 48%), a higher percentage of African Americans (AA) (50% vs. 36%), a lower pack-year smoking history (30 vs. 39 median pack-years), and a higher percentage with stage IV disease (28% vs. 20%) than the low-deprivation group. Overall, NDI was significantly higher among AA when compared with Whites (p=0.003) and associated with lung cancer stage at diagnosis with an odds ratio of 1.17 (p=0.02). There was a significant correlation between DNA methylation and stage for HOXA7, SOX17, ZPF42, TAC1 and HOXA9. Only HOXA7 DNA methylation correlated with NDI (p=0.003).The high-deprivation group had a significantly shorter survival duration compared to the low-deprivation group, with a 1-year survival rate of 79% vs. 90%, a 2-year survival rate of 70% vs. 84%, and a 5-year-survival rate of 51% vs. 73% (p=0.02). After adjusting for age at diagnosis, stage, and DNA methylation status, belonging to the high-deprivation group was associated with a higher mortality risk with a hazard ratio of 2.02 (p=0.04). Conclusions: Neighborhood-level socioeconomic status and DNA methylation may be associated with late stage lung cancer at diagnosis; whereas NDI shows a potential association with shorter survival and increased mortality risk. Higher neighborhood deprivation among AA suggests that changes in health care policy that account for neighborhood-level indices of socioeconomic deprivation may enable more equitable improvement of lung cancer mortality.

Incomplete HPV vaccination among individuals aged 27-45 years in the United States: A mixed effect analysis of individual and contextual factors.

10546 Background: In the United States, the Human papillomavirus (HPV) vaccine is approved for use up to age 45. Incomplete HPV vaccination rates among those over age 26, however, remain high. The aim of this study was to examine the independent effects of individual- and neighborhood-level factors on incomplete HPV vaccine series in the United States (US) among those aged 27-45 years. Methods: This retrospective cohort study used administrative data from Optum’s Clinformatics DataMart Database to identify individuals aged 27-45 years who received 1 or more doses of HPV vaccine between July 2019 and June 2022. Multilevel multivariable logistic regression models were applied to the data on 7,662 individuals aged 27-45 years who were fully vaccinated against HPV or not, nested within 3839 neighborhoods across the US. Results: More than half of the participants in this study (52.93%) were not completely vaccinated against HPV. About 64% of the eligible participants aged 27-30 years did not complete their HPV vaccine series. After adjusting for all other covariates in the final model, being older than 30 years old decreased the odds of incomplete HPV vaccine series. Participants living in neighborhoods of South region of the US had enhanced odds of incomplete HPV vaccine series compared to those residing in Northeast region (aOR 1.21; 95% CrI 1.03–1.42). There was significant clustering of incomplete HPV vaccine series at the neighborhood level. Conclusions: This study revealed that individual- and neighborhood-level factors significantly influence HPV vaccination incompleteness in the US. Interventions to improve HPV vaccination uptake and completion should take into consideration both individual- and contextual-level characteristics during design, planning and implementation of policies and programs to improve HPV vaccination coverage and completion in the US and other similar countries. Acknowledgement Dr. Adekanmbi is supported by a research career development award (K12HD052023: Building Interdisciplinary Research Careers in Women’s Health Program-BIRCWH; Berenson, PI) from the National Institutes of Health/Office of the Director (OD), National Institute of Allergy and Infectious Diseases (NIAID), and Eunice Kennedy Shriver National Institute of Child Health &amp; Human Development (NICHD). Dr. Guo is currently supported by an award (K07CA222343) from the National Institutes of Health, National Cancer Institute (NIH/NCI). Dr. Berenson is supported by an award (PP200048) from the Cancer Prevention and Research Institute of Texas (CPRIT). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or CPRIT. Conflict of Interest: All authors report no conflicts of interest.

Comorbidities and neighborhood factors associated with prescription of sodium-glucose cotransporter protein-2 inhibitors and glucagon-like peptide-1 receptor agonists among medically underserved populations

BACKGROUND: Evidence from clinical trials shows that newer second-line diabetes medications-glucagon-like peptide 1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is)-have cardio-renal protective effects in addition to their glucose-lowering properties. Despite strong evidence of benefits, there is limited evidence regarding prescribing patterns for these medications, especially among populations at high risk for disparities. OBJECTIVE: To examine the associations of cardio-renal and obesity comorbidities and neighborhood factors with the prescribing of GLP-1RAs or SGLT2is in comparison with dipeptidyl peptidase 4 inhibitors (DPP-4is) or sulfonylureas (SFUs) and for each of the newer second-line diabetes medications (GLP-1RA vs DPP-4i, SGLT2i vs DPP-4i, GLP-1RA vs SFU, and SGLT2i vs SFU) in medically underserved populations. METHODS: A retrospective cohort study was conducted using electronic medical records from a health care delivery system that serves medically underserved populations in the Mid-South region of the United States. Metformin-treated adult patients with type 2 diabetes, and at least 1 prescription for GLP-1RA, SGLT2i, DPP-4i, or SFU class medications, were identified between April 2016 and August 2021. Neighborhood factors were assessed at the census tract level by geocoding and linking patient addresses to neighborhood-level risk factors. Using multilevel logistic regression models, we examined the associations of comorbidities and neighborhood factors with the prescription of newer second-line diabetes medications. RESULTS: 7,723 patients received newer second-line diabetes medications, with 16% prescribed GLP-1RAs, 11% prescribed SGLT2is, 28% prescribed DPP-4is, and 45% prescribed SFUs. Patients with cerebrovascular disease were significantly less likely to receive newer second-line diabetes medications (odds ratio [OR] = 0.65, 95% CI = 0.52-0.80). Patients with obesity were more likely to receive newer second-line diabetes medications (OR = 1.68, 95% CI = 1.48-1.90). Living in neighborhoods with higher proportions of college graduates was associated with a higher likelihood of receiving newer second-line diabetes medications (quartile 3 vs 1: OR = 1.30, 95% CI = 1.06-1.59; and quartile 4 vs 1: OR = 1.46, 95% CI = 1.13-1.88). CONCLUSIONS: Our findings demonstrate substantial underprescribing and significant clinical and neighborhood variations in the use of newer second-line diabetes medications. We found lower use of newer second-line diabetes medications among patients with cerebrovascular disease and higher use in those with obesity. Our findings also suggest that newer second-line diabetes medications are first adopted by those in higher socioeconomic groups, thus increasing disparities in care. DISCLOSURES: Dr Surbhi reports grants or contracts from the Tennessee Department of Health, Agency for Healthcare Research and Quality, and PhRMA Foundation. Dr Bailey reports honoraria from the SouthEast Texas Chapter of the American College of Healthcare Executives, leadership or fiduciary role in the Coalition for Better Health and The Healthy City, Inc., and stock or stock options in Proctor and Gamble, Walmart, and Apple. Dr Kovesdy reports personal fees from Bayer, Abbott, AstraZeneca, Takeda, Tricida, Akebia, Cara Therapeutics, Vifor, Rockwell, CSL Behring, Boehringer Ingelheim, and GSK, outside the submitted work. The other authors report no conflicts of interest.

Physical Activity Level of Physically Independent Older Adults in a Densely Populated City.

The aim of this study was to estimate older adults' physical activity level in all types and categories of physical activities and calculate their total physical activity level. This cross-sectional descriptive study estimated the physical activity level of older adults on a quota sample of 500 physically independent older adults living in a densely populated city (in this case, Hong Kong). It used the Physical Activity Questionnaire (Hong Kong version) to assess participants' physical activity level. Based on the frequency, duration, and intensity of each type of physical activity being performed by the participants, their physical activity level in terms of energy expenditure (in kilocalories per day) for all types and categories of physical activities and the total physical activity level were calculated. Independent t test or analysis of variance, whatever appropriate, was used to examine the difference in the total physical activity level between participants with different individual characteristics. Linear regression analysis was conducted to determine the contribution of individual characteristics to the total physical activity level (p < .05). Results indicated that the participants mostly engaged in leisurely sitting, watching television, listening to radio, and leisurely walking. They spent the greatest amount of energy on the category of "leisure activity" (710.77kcal/day). Their total physical activity level was 1,727.09kcal/day, which was much less than previously reported. Linear regression indicates that age accounted for 3.1% of the variance of the total physical activity level (p = .001) with senior older adults warranting additional support. Future research is suggested to confirm the role of specific neighborhood-level factors on the physical activity performance of older adults.

Neighborhood-level Socioeconomic Position During Early Pregnancy and Risk of Gastroschisis.

Neighborhood-level socioeconomic position has been shown to influence birth outcomes, including selected birth defects. This study examines the un derstudied association between neighborhood-level socioeconomic position during early pregnancy and the risk of gastroschisis, an abdominal birth defect of increasing prevalence. We conducted a case-control study of 1,269 gastroschisis cases and 10,217 controls using data from the National Birth Defects Prevention Study (1997-2011). To characterize neighborhood-level socioeconomic position, we conducted a principal component analysis to construct two indices-Neighborhood Deprivation Index (NDI) and Neighborhood Socioeconomic Position Index (nSEPI). We created neighborhood-level indices using census socioeconomic indicators corresponding to census tracts associated with addresses where mothers lived the longest during the periconceptional period. We used generalized estimating equations to estimate odds ratios (ORs) and 95% confidence intervals (CIs), with multiple imputations for missing data and adjustment for maternal race-ethnicity, household income, education, birth year, and duration of residence. Mothers residing in moderate (NDI Tertile 2 aOR = 1.23; 95% CI = 1.03, 1.48 and nSEPI Tertile 2 aOR = 1.24; 95% CI = 1.04, 1.49) or low socioeconomic neighborhoods (NDI Tertile 3 aOR = 1.28; 95% CI = 1.05, 1.55 and nSEPI Tertile 3 aOR = 1.32, 95% CI = 1.09, 1.61) were more likely to deliver an infant with gastroschisis compared with mothers residing in high socioeconomic neighborhoods. Our findings suggest that lower neighborhood-level socioeconomic position during early pregnancy is associated with elevated odds of gastroschisis. Additional epidemiologic studies may aid in confirming this finding and evaluating potential mechanisms linking neighborhood-level socioeconomic factors and gastroschisis.

The Use of Preventive Health Care in Asian Americans: The Cross-level Interactions between Individual and Neighborhood Factors in the United States.

The present study explored how individual- and neighborhood-level factors contribute to predicting the use of preventive health care in a sample of Asian Americans. The cross-level interaction between individual- and neighborhood-level factors was also examined. We found a significant interaction between individual-level health insurance coverage and neighborhood health care providers' availability. Those who were uninsured and living in areas with limited health care provider availability (bottom 20%) were the most disadvantaged. This study adds to the growing literature on the effect of neighborhood-level factors on health care as sources of disparities. For health care policy, identifying individuals without health insurance coverage and living in a neighborhood with limited health care providers should be a priority to diminish disparities in access to care.

Dynamic risk trajectories, community context, and juvenile recidivism

PurposeWhile the implementation of risk assessment has expanded, the extent to which there are different trajectories of risk/protective factors among adjudicated youth during supervision in the community remains unanswered. The goal of the current study is to identify the distinct trajectories in dynamic risk and protective factors among youth on probation and assess whether different patterns in risk over time are associated with continued offending. MethodGroup-based trajectory modeling is used to identify distinct trajectories across multiple domains of risk/need. The individual- and neighborhood-level factors associated with these trajectories are then explored, prior to examining their relationship to continued delinquency. ResultsResults suggest that a sizable combination of risk/needs trajectories exist among youth on probation. These distinct trajectories are differentially associated with individual and neighborhood characteristics. A select number of trajectories also appear to be indicative of continued offending post-completion of community supervision. ConclusionsInformation regarding the evolving nature of juvenile risk/needs during supervision is critically important to reduce incarceration, flatten the age-crime curve, and ensure public safety. Findings have implications for the use of dynamic risk assessment among youth on probation as well as juvenile recidivism research more generally.

Individual and Neighborhood Environmental Factors Affecting Healthy Eating Among Korean Rural Adults.

Although it is recognized that social and environmental factors influence healthy eating behaviors, few studies have investigated the association between environmental factors and healthy eating among rural adults in Korea. We aimed to identify individual and neighborhood environmental factors influencing adherence to fruit and vegetable intake among adults living in rural areas using an ecological approach. The study sample comprised 1,582 adults from 38 rural areas from Chungbuk Province, South Korea in 2017 who provided individual- and neighborhood-level data. Neighborhood-level data were obtained by aggregating individual-level responses measured for each residential town resulting in an average value for each neighborhood-level variable for the 38 rural areas. The data were merged and used for a series of multilevel logistic regression analyses. Among the individual-level factors, age, alcohol drinking, physical activity, self-efficacy for healthy eating, and social support for healthy eating were significantly associated with adherence to fruit and vegetable intake. Among the neighborhood-level factors, social cohesion and perceived neighborhood safety were significantly associated with adherence to fruit and vegetable intake. Multifaceted intervention strategies to increase consumption of fruits and vegetables should include behavioral modification, social support, and improvement of neighborhood environments.

The Association of Neighborhood Characteristics and Frailty in Childhood Cancer Survivors: A Report from the St. Jude Lifetime Cohort Study.

Childhood cancer survivors experience reduced physiologic reserve, or frailty, earlier and more frequently than peers. In other populations, frailty is impacted by one's neighborhood. This study's purpose was to evaluate associations between neighborhood characteristics and frailty in childhood cancer survivors. Participants in the St. Jude Lifetime Cohort Study with geocoded residential addresses were analyzed. Pre-frailty/Frailty was defined as having 1-2/≥3 of sarcopenia, muscle weakness, poor endurance, slow walking speed, and exhaustion from direct assessments. Neighborhood characteristics [e.g., access to exercise opportunities and healthy food, neighborhood socioeconomic status (nSES), and rurality/urbanicity] were determined using publicly available geospatial data. Nested multivariable logistic regression models identified associations between neighborhood characteristics and pre-frailty/frailty, adjusting for chronic health conditions, individual health behaviors and socio-demographics, and high-risk cancer treatment exposures. For our cohort (N = 3,806, 46.79% female, 81.40% white, mean age 33.63±9.91 years), compared with non-frail survivors (n = 2,573; 67.6%), pre-frail (n = 900; 23.6%) and frail survivors (n = 333; 8.7%) were more likely to live in neighborhoods with decreased exercise opportunities (frail OR: 1.62, 1.26-2.09), reduced healthy food access (pre-frail OR: 1.28, 1.08-1.51; frail OR: 1.36, 1.06-1.75), and lower nSES (pre-frail OR: 1.31, 1.12-1.52; frail OR: 1.64, 1.30-2.07). Participants had 8% increased odds (95% confidence interval, 2%-14%) of being pre-frail/frail if they lived in "resource poor" neighborhoods as opposed to "resource rich" neighborhoods after adjusting for other pre-frailty/frailty risk factors. The neighborhood a childhood cancer survivor resides in as an adult is associated with pre-frailty/frailty. This study provides valuable information for creating interventions using neighborhood-level factors to mitigate frailty and improve health outcomes in survivors. See related commentary by Bhandari and Armenian, p. 997.

Incomplete HPV Vaccination among Individuals Aged 27-45 Years in the United States: A Mixed-Effect Analysis of Individual and Contextual Factors.

Background: In the United States, the human papillomavirus (HPV) vaccine is approved for use in individuals up to age 45. Individuals 15 years and older require three doses of the vaccine to complete the recommended dosing series. Incomplete HPV vaccination rates (i.e., one or two doses) among those over age 26, however, remain high. This study examined the independent effects of individual- and neighborhood-level factors on incomplete HPV vaccination rates in the United States (U.S.) among those aged 27-45 years. Methods: This retrospective cohort study used administrative data from Optum's de-identified Clinformatics® Data Mart Database to identify individuals aged 27-45 years who received one or more doses of HPV vaccine between July 2019 and June 2022. Multilevel multivariable logistic regression models were applied to the data on 7662 individuals identified as being fully or partially vaccinated against HPV, nested within 3839 neighborhoods across the U.S. Results: Approximately half of the patients in this study (52.93%) were not completely vaccinated against HPV. After adjusting for all other covariates in the final model, being older than 30 years old decreased the odds of not completing the HPV vaccine series. Participants living in South-region neighborhoods of the U.S. had enhanced odds of not completing the vaccine series compared with those residing in Northeast-region neighborhoods (aOR 1.21; 95% CrI 1.03-1.42). There was significant clustering of incomplete HPV vaccination rates at the neighborhood level. Conclusions: This study revealed that individual- and neighborhood-level factors were associated with the risk of not completing the HPV vaccine series among individuals aged 27-45 years in the U.S. Interventions to improve HPV vaccination series completion rates for this age group should take into consideration both individual and contextual factors.

Spatiotemporal Modeling of the Association between Neighborhood Factors and COVID-19 Incidence Rates in Scotland

This study aims to investigate the association between neighborhood-level factors and COVID-19 incidence in Scotland from a spatiotemporal perspective. The outcome variable is the COVID-19 incidence in Scotland. Based on the identification of the wave peaks for COVID-19 cases between 2020 and 2021, confirmed COVID-19 cases in Scotland can be divided into four phases. To model the COVID-19 incidence, sixteen neighborhood factors are chosen as the predictors. Geographical random forest models are used to examine spatiotemporal variation in major determinants of COVID-19 incidence. The spatial analysis indicates that proportion of religious people is the most strongly associated with COVID-19 incidence in southern Scotland, whereas particulate matter is the most strongly associated with COVID-19 incidence in northern Scotland. Also, crowded households, prepandemic emergency admission rates, and health and social workers are the most strongly associated with COVID-19 incidence in eastern and central Scotland, respectively. A possible explanation is that the association between predictors and COVID-19 incidence might be influenced by local context (e.g., people’s lifestyles), which is spatially variant across Scotland. The temporal analysis indicates that dominant factors associated with COVID-19 incidence also vary across different phases, suggesting that pandemic-related policy should take spatiotemporal variations into account.

Importance of caregivers' subjective social status and neighbourhood disadvantage for adolescents with type 1 diabetes.

Adolescents with type 1 diabetes from low-income populations are more likely to have difficulty in managing their diabetes and ultimately have poorer glycaemic outcomes, but less is known about neighbourhood-level factors or subjective social status (SSS) as risk/protective factors. We examined associations between multiple indicators of socio-economic status with diabetes outcomes. One hundred and ninety-eight adolescents ages 13-17 (58% female, 58% White, non-Hispanic) experiencing moderate diabetes distress completed measures of diabetes management and diabetes distress, and their caregivers reported on SSS. Glycaemic indicators were extracted from medical records, and participants' addresses were used to determine area deprivation index (ADI). Higher levels of neighbourhood disadvantage were significantly associated with higher haemoglobin A1c levels and average glucose levels, but caregivers' SSS was more strongly associated with all glycaemic indicators, diabetes management and diabetes distress. Given strong associations between caregivers' SSS and glycaemic control, diabetes management, and diabetes distress, screening for caregivers' SSS may identify adolescents who would benefit from additional support.

Area deprivation index and segregation on the risk of HIV: a U.S. Veteran case–control study

Preventing HIV infection remains a critically important tool in the continuing fight against HIV/AIDS. The primary aim is to evaluate the effect and interactions between a composite area-level social determinants of health measure and an area-level measure of residential segregation on the risk of HIV/AIDS in U.S. Veterans. Using the individual-level patient data from the U.S. Department of Veterans Affairs, we constructed a case-control study of veterans living with HIV/AIDS (VLWH) and age-, sex assigned at birth- and index date-matched controls. We geocoded patient's residential address to ascertain their neighborhood and linked their information to two measures of neighborhood-level disadvantage: area deprivation index (ADI) and isolation index (ISOL). We used logistic regression to estimate the odds ratio (OR) and 95% confidence interval (CI) for comparing VLWH with matched controls. We performed analyses for the entire U.S. and separately for each U.S. Census division. Overall, living in minority-segregated neighborhoods was associated with a higher risk of HIV (OR: 1.88 (95% CI: 1.79-1.97) while living in higher ADI neighborhoods was associated with a lower risk of HIV (OR: 0.88; 95% CI: 0.84-0.92). The association between living in a higher ADI neighborhood and HIV was inconsistent across divisions, while living in minority-segregated neighborhoods was consistently associated with increased risk across all divisions. In the interaction model, individuals from low ADI and high ISOL neighborhoods had a higher risk of HIV in three divisions: East South Central; West South Central, and Pacific. Our results suggest that residential segregation may prevent people in disadvantaged neighborhoods from protecting themselves from HIV independent from access to health care. There is the need to advance knowledge about the neighborhood-level social-structural factors that influence HIV vulnerability toward developing interventions needed to achieve the goal of ending the HIV epidemic. US National Cancer Institute.