The embodiment of the neighborhood socioeconomic environment in the architecture of the immune system.

There is growing recognition of the importance of immune health for understanding the origins of ageing-related disease and decline. Numerous studies have demonstrated consistent associations between the social determinants of health and immunosenescence (i.e. ageing of the immune system). Yet few studies have interrogated the relationship between neighborhood socioeconomic status (nSES) and biologically specific measures of immunosenescence. We used data from the US Health and Retirement Study to measure immunosenescence linked with neighborhood socioeconomic data from the National Neighborhood Data Archive to examine associations between indicators of nSES and immunosenescence. We found associations between both the ratio of terminally differentiated effector memory to naïve (EMRA:Naïve) CD4+ T cells and cytomegalovirus (CMV) immunoglobulin G (IgG) levels and nSES. For the CD4+ EMRA:Naïve ratio, each 1% increase in the neighborhood disadvantage index was associated with a 0.005 standard deviation higher value of the EMRA:Naïve ratio (95% CI: 0.0003, 0.01) indicating that living in a neighborhood that is 10% higher in disadvantage is associated with a 0.05 higher standardized value of the CD4+ EMRA:Naïve ratio. The results were fully attenuated when adjusting for both individual-level SES and race/ethnicity. For CMV IgG antibodies, a 1% increase in neighborhood disadvantage was associated a 0.03 standard deviation higher value of CMV IgG antibodies (ß = 0.03; 95% CI: 0.002, 0.03) indicating that living in a neighborhood that is 10% higher in disadvantage is associated with a 0.3 higher standardized value of CMV. This association was attenuated though still statistically significant when controlling for individual-level SES and race/ethnicity. The findings from this study provide compelling initial evidence that large, nonspecific social exposures, such as neighborhood socioeconomic conditions, can become embodied in cellular processes of immune ageing.

Neighborhood racial income inequality and cognitive health.

INTRODUCTION: Neighborhood socioeconomic status (SES) has been linked to dementia, but the distribution of SES within a neighborhood may also matter. METHODS: Data from 460 (47% Black, 46% White) older adults from the Michigan Cognitive Aging Project were linked to census tract-level data from the National Neighborhood Data Archive (NaNDA). Neighborhood SES included two composites reflecting disadvantage and affluence. Neighborhood racial income inequality was the ratio of median incomes for White versus Black residents. Generalized estimating equations examined associations between neighborhood factors and cognitive domains. RESULTS: Neighborhood racial income inequality was uniquely associated with worse cognitive health, and these associations did not differ by participant race. Neighborhood disadvantage was only associated with worse cognitive health among Black participants. DISCUSSION: Both the level and racial distribution of SES within a neighborhood may be relevant for dementia risk. Racial differences in the level and impact of neighborhood SES contribute to dementia inequalities. HIGHLIGHTS: Black participants lived in neighborhoods with lower socioeconomic status (SES) than White participants, on average. Neighborhood SES and racial income inequality were associated with worse cognition. Effects of neighborhood racial income inequality did not differ across racial groups. Effects of neighborhood SES were only evident among Black participants.

Does Neighborhood Socioeconomic Status Alter Memory Change Associated with a Cancer Diagnosis? Preliminary Evidence from the US Health and Retirement Study.

BACKGROUND: Neighborhood disadvantage has been linked to cognitive impairment, but little is known about the effect of neighborhood disadvantage on long-term cancer-related memory decline. METHODS: Incident cancer diagnosis and memory (immediate and delayed recall, combined with proxy-reported memory) were assessed at biennial interviews in the US Health and Retirement Study (N = 13,293, 1998-2016). Neighborhood disadvantage was measured using the National Neighborhood Data Archive disadvantage index, categorized into tertiles (T1: least disadvantaged-T3: most disadvantaged). Linear mixed-effects models estimated the standardized memory trajectories in participants with or without cancer, by neighborhood disadvantage. RESULTS: Living in more disadvantaged neighborhoods was associated with worse mean memory function and steeper memory declines, regardless of cancer status. An incident cancer diagnosis was associated with an acute memory drop for those living in least disadvantaged neighborhoods but not more disadvantaged neighborhoods [T1: -0.05, 95% confidence interval (CI): -0.08, -0.01; T3: -0.13, 95% CI: -0.06, 0.03]. Cancer survivors in the least disadvantaged neighborhoods had a slight memory advantage in the years prior to diagnosis (T1: 0.09, 95% CI: 0.04, 0.13) and after diagnosis (T1: 0.07, 95% CI: 0.01, 0.13). CONCLUSIONS: An incident cancer diagnosis among those living in the least disadvantaged neighborhoods was associated with an acute memory drop at the time of diagnosis and a long-term memory advantage before and after diagnosis compared with cancer-free individuals in similar neighborhoods. IMPACT: These findings could inform interventions to promote cancer survivor's long-term aging. Future studies should investigate the social and biological pathways through which neighborhood socioeconomic status could influence cancer-related memory changes.

Histories of neighborhood socioeconomic status contribute to race differences in later-life cognition.

INTRODUCTION: Neighborhood characteristics are increasingly implicated in cognitive health disparities, but no research has investigated how the historical context of neighborhoods shapes these disparities. METHODS: Four hundred sixty-four Black (55%) and White older adults (Mage = 63.6) were drawn from the Michigan Cognitive Aging Project, a community-based, prospective study of older adults. Participants' addresses at baseline (2017-2020) were geocoded and linked to 2000-2017 measures of neighborhood socioeconomic status (NSES): disadvantage [NDis] and affluence [NAff]. Latent class growth analysis (LCGA) characterized 18 interpolated year trajectories of NSES across 1344 census tracts. Path analysis examined whether NSES trajectory classes mediated the association between race and a global cognition composite. RESULTS: LCGA identified three NDis and two NAff trajectory classes, which were associated with participant race. Only one NDis class was associated with cognition, and it mediated the association between the Black race and cognition. DISCUSSION: Disinvestment in neighborhoods may be particularly salient in race disparities in cognitive function. HIGHLIGHTS: Race is implicated in the likelihood of living in more disadvantaged neighborhoods. Historical trends in neighborhood disadvantage are associated with cognitive function in older adulthood. Identifying patterns of neighborhood change may inform neighborhood-level interventions.

State variation in neighborhood COVID-19 burden across the United States.

BACKGROUND: A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 infection burden has been distributed across neighborhoods, a key determinant of both risk and resilience. Without more spatially resolute data, efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities will remain difficult to quantify and intervene on. METHODS: We leveraged spatially-referenced data from 21 states collated through the COVID Neighborhood Project to examine the distribution of COVID-19 cases across neighborhoods and states in the U.S. We also linked the COVID-19 case data with data on the neighborhood social environment from the National Neighborhood Data Archive. We then estimated correlations between neighborhood COVID-19 burden and features of the neighborhood social environment. RESULTS: We find that the distribution of COVID-19 at the neighborhood-level varies within and between states. The median case count per neighborhood (coefficient of variation (CV)) in Wisconsin is 3078.52 (0.17) per 10,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (CV) is 810.98 (0.84) per 10,000 population. We also find that correlations between features of the neighborhood social environment and burden vary in magnitude and direction by state. CONCLUSIONS: Our findings underscore the importance that local contexts may play when addressing the long-term social and economic fallout communities will face from COVID-19.

A lack of data on the geographic location of COVID-19 cases in the U.S has limited our ability to examine how COVID-19 burden has been distributed across neighborhoods within U.S. states. It may be that certain neighborhoods have borne a disproportionate burden of COVID-19 and are more likely to experience greater long-term social and economic consequences from the pandemic. We used data from 21 states to examine the distribution of COVID-19 cases across neighborhoods and states in the U.S. We find that the distribution of COVID-19 varies widely both within neighborhoods in a state, and between states. We also find that the features of the neighborhood social environment that are correlated with neighborhood COVID-19 burden vary by state. Our findings show that the local neighborhood may play an important role in addressing long-term social and economic consequences from COVID-19.

Location Matters: The Role of the Neighborhood Environment for Incident Cardiometabolic Disease in Adults Aging With Physical Disability.

PURPOSE: People aging with disability may be limited in their ability to engage in healthy behaviors to maintain cardiometabolic health. We investigated the role of health promoting features in the neighborhood environment for incident cardiometabolic disease in adults aging with physical disability in the United States. DESIGN: Retrospective cohort study. SETTING: Optum's Clinformatics® Data Mart Database (2007-2018) of administrative health claims. SUBJECTS: ICD-9-CM codes were used to identify 15 467 individuals with a diagnosis of Cerebral Palsy, Spina Bifida, Multiple Sclerosis, or Spinal Cord Injury. MEASURES: Cardiometabolic disease was identified using ICD-9-CM/ICD-10-CM codes over 3 years of follow-up. Measures of the neighborhood environment came from the National Neighborhood Data Archive and linked to individual residential ZIP codes over time. Covariates included age, sex, and comorbid health conditions. ANALYSIS: Cox regression models estimated hazard ratios (HR) for incident cardiometabolic disease. Using a 1-year lookback period, individuals with pre-existing cardiometabolic disease were excluded from the analysis. RESULTS: Net of individual risk factors, residing in neighborhoods with a greater density of broadband Internet connections (HR = .88, 95% CI: .81, .97), public transit stops (HR = .89, 95% CI: .83, .95), recreational establishments (HR = .89, 95% CI: .83, .96), and parks (HR = .88, 95% CI: .82, .94), was associated with reduced risk of 3-year incident cardiometabolic disease. CONCLUSION: Findings identify health-promoting resources that may mitigate health disparities in adults aging with disability.

Individual and Community level Developmental Adversities: Associations with Marijuana and Alcohol Use in Late-Adolescents and Young Adults.

Exposure to community and individual level stressors during adolescence has been reported to be associated with increased substance use. However, it remains unclear what the relative contribution of different community- and individual-level factors play when alcohol and marijuana use become more prevalent during late adolescence. The present study uses a large longitudinal sample of adolescents (Wave 1: N = 2017; 55% Female; 54.5% White, 22.3% Black, 8% Hispanic, 15% other) to evaluate the association and potential interactions between community- and individual-level factors and substance use from adolescence to young adulthood (Wave 1 to Wave 3 Age Mean [SD]: 16.7 [1.1], 18.3 [1.2], 19.3 [1.2]). Across three waves of data, multilevel modeling (MLM) is used to evaluate the association between community affluence and disadvantage, individual household socioeconomic status (SES, measured as parental level of education and self-reported public assistance) and self-reported childhood maltreatment with self-reported 12-month alcohol and 12-month marijuana use occasions. Sample-selection weights and attrition-adjusted weights are accounted for in the models to evaluate the robustness of the estimated effects. Across the MLMs, there is a significant positive association between community affluence and parental education with self-reported alcohol use but not self-reported marijuana use. In post hoc analyses, higher neighborhood affluence in older adolescents is associated with higher alcohol use and lower use in younger adolescents; the opposite association is found for neighborhood disadvantage. Consistent with past literature, there is a significant positive association between self-reported childhood maltreatment and self-reported 12-month alcohol and 12-month marijuana use. Results are largely consistent across weighted and unweighted analyses, however, in weighted analyses there is a significant negative association between community disadvantage and self-reported 12-month alcohol use. This study demonstrates a nuanced relationship between community- and individual-level factors and substance use during the transitional window of adolescence which should be considered when contextualizing and interpreting normative substance use during adolescence.

COVID-19, Disability, and the International Classification of Functioning, Disability and Health: A Scoping Review of Early-Stage Pandemic Response.

Introduction: This study aimed to systematically identify the environmental factors that impacted people with disability during the COVID-19 pandemic. Methods: A scoping literature review was conducted using LitCOVID (January 1-July 31, 2020). Sixty-six articles met the inclusion criteria that (1) discussed disability and/or health conditions related to functioning and (2) considered environmental factors. A qualitative content analysis was conducted using codes from the WHO International Classification of Functioning, Disability and Health. Results: A total of 212 International Classification of Functioning, Disability and Health codes were used in the coding process. The most frequent codes referred to health services policies and public health guidelines. These policies, although generally considered facilitators for minimizing infection, were frequently identified as barriers to the health, participation, and human rights of people with disability. The lack of disability-specific population data was identified as a key barrier to planning and decision making. Conclusions: The social determinants of health for people with disability were not adequately considered in the acute phase of infection prevention at the population level. Integrating the International Classification of Functioning, Disability and Health in emergency management provides a tool to evaluate functioning and address barriers for those in need.

Comparison of two area-level socioeconomic deprivation indices: Implications for public health research, practice, and policy.

OBJECTIVES: To compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI). METHODS: Index agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed. RESULTS: Index correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0-1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified. CONCLUSIONS: Differences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operationalized affects interpretation by researchers as well as public health practitioners and policymakers making decisions about resource allocation and working to address health equity.

Neighborhood resources and risk of cognitive decline among a community-dwelling long-term care population in the U.S.

Objective: To examine the associations between neighborhood resources (i.e., number of restaurants, recreation centers, or social services for seniors and persons with disability per land area) and cognitive decline among a community-dwelling long-term care population and whether they differ by baseline cognition status. Study design: Prospective longitudinal cohort study. Methods: We used a longitudinal dataset that assessed over a two-year period older adults receiving state-funded home- and community-based services in Michigan Metropolitan areas (N = 9,802) and applied nonlinear mixed models with a random intercept with Poisson distribution. Results: Cognitively intact older adults were less likely to experience cognitive decline when they resided in resource-rich neighborhoods, compared to those cognitively intact but living in neighborhoods that lacked resources. But their cognitively impaired or dementia-diagnosed counterparts did not similarly benefit from living in neighborhoods with rich resources. Conclusions: Neighborhood resources may be an important aspect of intervention to mitigate cognitive decline before older adults become cognitively impaired.

Public transit stop density is associated with walking for exercise among a national sample of older adults.

BACKGROUND: Walking is the primary and preferred mode of exercise for older adults. Walking to and from public transit stops may support older adults in achieving exercise goals. This study examined whether density of neighborhood public transit stops was associated with walking for exercise among older adults. METHODS: 2018 National Health and Aging Trends Study (NHATS) data were linked with the 2018 National Neighborhood Data Archive, which reported density of public transit stops (stops/mile2) within participants' neighborhood, defined using census tract boundaries. Walking for exercise in the last month was self-reported. The extent to which self-reported public transit use mediated the relationship between density of neighborhood public transit stops and walking for exercise was examined. Covariates included sociodemographic characteristics, economic status, disability status, and neighborhood attributes. National estimates were calculated using NHATS analytic survey weights. RESULTS: Among 4,836 respondents with complete data, 39.7% lived in a census tract with at least one neighborhood public transit stop and 8.5% were public transit users. The odds of walking for exercise were 32% higher (OR = 1.32; 95% confidence interval: 1.08, 1.61) among respondents living in a neighborhood with > 10 transit stops per mile compared to living in a neighborhood without any public transit stops documented. Self-reported public transit use mediated 24% of the association between density of neighborhood public transit stops and walking for exercise. CONCLUSIONS: Density of neighborhood public transit stops was associated with walking for exercise, with a substantial portion of the association mediated by self-reported public transit use. Increasing public transit stop availability within neighborhoods may contribute to active aging among older adults.

'My neighbourhood is fuzzy, not hard and fast': Individual and contextual associations with perceived residential neighbourhood boundaries among ageing Americans.

Neighborhoods are fluid social and spatial constructs that vary by person and place. How do residential neighborhoods shift as people age? This mixed-method study investigates how perceived neighborhood boundaries and size vary by individual and contextual characteristics. Semi-structured interviews with 125 adults aged 55-92 living in the Minneapolis (Minnesota) metropolitan area suggested that neighborhood boundaries are "fuzzy". Qualitative thematic analysis identified duration of residence and housing stability, race, life-space mobility, social capital, sense of safety, and the built and social environment as key neighborhood determinants. This informed quantitative analyses among 7,811 respondents (mean age 72) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study who self-reported how many blocks composed their neighborhoods. We tested individual and contextual factors identified in the qualitative results as related to perceived neighborhood size. Three-level gamma regression models showed that being older, white, less educated, lower income, less physically and cognitively healthy, less active, less socially supported, and feeling unsafe were significantly associated with smaller self-reported neighborhood sizes. Further, living in less racially diverse, less dense, and less affluent areas were significantly associated with smaller neighborhoods. The mixed-methods findings deepen understanding of scale in neighborhood-based research, inform urban planning interventions, and help understand what "neighborhood" means among diverse aging Americans.

Biological expressions of early life trauma in the immune system of older adults.

BACKGROUND: Poor immune function is associated with increased risk for a number of age-related diseases, however, little is known about the impact of early life trauma on immune function in late-life. METHODS: Using nationally representative data from the Health and Retirement Study (n = 5,823), we examined the association between experiencing parental/caregiver death or separation before age 16 and four indicators of immune function in late-life: C-reactive Protein (CRP), Interleukin-6 (IL-6), soluble Tumor Necrosis Factor (sTNFR), and Immunoglobulin G (IgG) response to cytomegalovirus (CMV). We also examined racial/ethnic differences. FINDINGS: Individuals that identified as racial/ethnic minorities were more likely to experience parental/caregiver loss and parental separation in early life compared to Non-Hispanic Whites, and had poorer immune function in late-life. We found consistent associations between experiencing parental/caregiver loss and separation and poor immune function measured by CMV IgG levels and IL-6 across all racial/ethnic subgroups. For example, among Non-Hispanic Blacks, those that experienced parental/caregiver death before age 16 had a 26% increase in CMV IgG antibodies in late-life (ß = 1.26; 95% CI: 1.17, 1.34) compared to a 3% increase in CMV antibodies among Non-Hispanic Whites (ß = 1.03; 95% CI: 0.99, 1.07) controlling for age, gender, and parental education. INTERPRETATION: Our results suggest a durable association between experiencing early life trauma and immune health in late-life, and that structural forces may shape the ways in which these relationships unfold over the life course.

State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project.

A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19.

Dynamic protein deacetylation is a limited carbon source for acetyl-CoA-dependent metabolism.

The ability of cells to store and rapidly mobilize energy reserves in response to nutrient availability is essential for survival. Breakdown of carbon stores produces acetyl-CoA (AcCoA), which fuels essential metabolic pathways and is also the acyl donor for protein lysine acetylation. Histones are abundant and highly acetylated proteins, accounting for 40% to 75% of cellular protein acetylation. Notably, histone acetylation is sensitive to AcCoA availability, and nutrient replete conditions induce a substantial accumulation of acetylation on histones. Deacetylation releases acetate, which can be recycled to AcCoA, suggesting that deacetylation could be mobilized as an AcCoA source to feed downstream metabolic processes under nutrient depletion. While the notion of histones as a metabolic reservoir has been frequently proposed, experimental evidence has been lacking. Therefore, to test this concept directly, we used acetate-dependent, ATP citrate lyase-deficient mouse embryonic fibroblasts (Acly-/- MEFs), and designed a pulse-chase experimental system to trace deacetylation-derived acetate and its incorporation into AcCoA. We found that dynamic protein deacetylation in Acly-/- MEFs contributed carbons to AcCoA and proximal downstream metabolites. However, deacetylation had no significant effect on acyl-CoA pool sizes, and even at maximal acetylation, deacetylation transiently supplied less than 10% of cellular AcCoA. Together, our data reveal that although histone acetylation is dynamic and nutrient-sensitive, its potential for maintaining cellular AcCoA-dependent metabolic pathways is limited compared to cellular demand.

Neighborhood Social Determinants of Health in Patients Seen in Neurology Movement Disorders Clinics.

Background and Objectives: Chronic health conditions are influenced by social determinants of health (SDH) including neighborhood-linked markers of affluence. We explored whether neighborhood socioeconomic factors differ in people with different types of clinical movement disorders (MDs). Methods: We conducted a retrospective study of patients seen in MD clinics at our center in 2021. Patient data were linked to the US National Neighborhood Data Archive linked to US census tract data. We evaluated variations in neighborhood socioeconomic factors across 8 different categories of MDs. Results: Compared with the neighborhoods of patients with Parkinson disease, neighborhoods of patients with cerebellar ataxias, functional movement disorders, and Huntington disease were characterized by higher proportions of people earning less than 15,000 US dollars/year, people receiving public assistance, and people with less than a high school diploma. Discussion: Neighborhood-linked SDH vary among different MDs. These findings have implications for public health interventions aimed at improving the care of people affected by MDs.

Neighborhood 'Disamenities': local barriers and cognitive function among Black and white aging adults.

BACKGROUND: This study examined the association between cognitive function and three neighborhood 'disamenities' that may pose local barriers to utilizing community resources and increase risk for cognitive decline. METHOD: Using national data from 21,165 urban- and suburban-dwelling Black and white adults (mean age: 67 years) in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, we assessed global cognitive function through a factor score of five cognitive screening tests. General Additive Mixed Models (GAMM) tested whether residing in areas with more polluting sites, highways, and limited walkability was associated with worse cognitive function. RESULTS: Limited walkability and the presence of polluting sites had a significant negative association with cognitive function after controlling for individual and neighborhood factors. CONCLUSION: Neighborhood disamenities may be linked to cognitive function among aging residents. Identifying neighborhood factors that pose barriers to accessing community resources may inform upstream policy applications to reduce risk for cognitive decline.

Self-Reported Visual Difficulty and Daily Activity Limitations: The Moderating Role of Neighborhood Characteristics.

BACKGROUND AND OBJECTIVES: Understanding how neighborhood-level factors moderate the relationship between visual health and activity limitations could inform strategies for successful aging in place among older adults with sensory impairments. Guided by a vision loss impact framework, this study aims to examine whether neighborhood social cohesion and physical disorder moderate the association between visual difficulty and activity limitation. RESEARCH DESIGN AND METHODS: Secondary analyses were conducted using data from Round 5 of the National Health and Aging Trend Study. A 4-level indicator was used to indicate the visual difficulty. Neighborhood social cohesion and physical disorder were each measured using a 3-item scale. Summary scores were created for daily activity limitations. Ordinary least squares regressions were performed to test the study hypotheses. The complex survey design factors were applied. Missing data were handled using multiple imputations. RESULTS: Older adults reporting any type of visual difficulty experienced more limitations in self-care tasks, household activities, and mobility than those without visual difficulty. Neighborhood physical disorder moderated visual difficulty and activity limitations. Specifically, visual difficulty was associated with higher risk of activity limitations among participants perceiving physical disorder in the neighborhood compared to those perceiving no physical disorder. DISCUSSION AND IMPLICATIONS: The study findings suggest that the vision loss impact framework provides an integrative approach to identify the health needs of older adults with visual difficulty. Future research is needed to further understand the role of neighborhood in independent living among older adults with visual difficulty and to inform community-level interventions.

Risk of type 2 diabetes mellitus among adults aging with vision impairment: The role of the neighborhood environment.

BACKGROUND: Vision impairment (VI) affects approximately 1 in 28 Americans over the age of 40 and the prevalence increases sharply with age. However, experiencing vision loss with aging can be very different from aging with VI acquired earlier in life. People aging with VI may be at increased risk for diabetes due to environmental barriers in accessing health care, healthy food, and recreational resources that can facilitate positive health behaviors. OBJECTIVE: This study examined the relationship between neighborhood characteristics and incident type 2 diabetes mellitus (T2DM) among a cohort of 22,719 adults aging with VI. METHODS: Data are from Optum® Clinformatics® DataMart, a private administrative claims database (2008-2017). Individuals 18 years of age and older at the time of their initial VI diagnosis were eligible for analysis. VI was determined using vision impairment, low vision, and blindness codes (ICD-9-CM, ICD-10-CM). Covariates included age, sex, and comorbidities. Cox models estimated adjusted hazard ratios (HRs) for incident T2DM. Stratified models examined differences in those aging with (age 18-64) and aging into (age 65+) vision impairment. RESULTS: Residence in neighborhoods with greater intersection density (HR = 1.26) and high-speed roads (HR = 1.22) were associated with increased risk of T2DM among older adults with VI. Living in neighborhoods with broadband internet access (HR = 0.67), optical stores (HR = 0.62), supermarkets (HR = 0.78), and gyms/fitness centers (HR = 0.63) was associated with reduced risk of T2DM for both younger and older adults with VI. CONCLUSIONS: Findings emphasize the importance of neighborhood context for mitigating the adverse consequences of vision loss for health.

Identifying latent classes of Relative Energy Deficiency in Sport (RED-S) consequences in a sample of collegiate female cross country runners.

OBJECTIVE: The purpose of this study was to identify patterns of clustering of the 10 health consequences identified in the Relative Energy Deficiency in Sport (RED-S) framework among collegiate female Cross-Country runners. We also assessed risk characteristics associated with each cluster. METHODS: This randomly sampled population included 211 current National Collegiate Athletics Association (NCAA) Division I (DI) female cross country runners who completed a quantitative survey. We used latent class analysis (LCA) to group athletes into mutually exclusive classes based on shared response patterns of RED-S consequences. We computed descriptive statistics to identify demographics, personal characteristics, disordered eating and emotional health characteristics associated with each class. RESULTS: The average age of the sample was 21 years with mean body mass index 20.4 kg/m2. The LCA identified three unique classes of potential RED-S presentations: (1) low probability of RED-S consequences; (2) complex physical and psychological concerns with a higher burden of cardiovascular concern and (3) very high probability of anxiety with high burden of menstrual disturbance, bone injury and gastrointestinal concern. All classes were characterised by high levels of menstrual disturbance and distinguished by the number and burden of other potential RED-S consequences and in reported abuse history, emotional regulation and perfectionism. CONCLUSION: This study identified a high burden of menstrual disturbance in NCAA D1 cross country runners, and three unique presentations of RED-S consequences. Future research is warranted to better understand how early prevention and intervention strategies may mitigate RED-S consequences in distance runners.