Geographic Variation of Antidementia and Antipsychotic Medication Use Among US Nursing Home Residents With Dementia.

BACKGROUND: Several antidementia medications have been approved for symptomatic treatment of cognitive and functional impairment due to Alzheimer disease. Antipsychotics are often prescribed off-label for behavioral symptoms. OBJECTIVE: The aim of this study was to describe the basis for regional variation in antidementia and antipsychotic medication use. SETTING: US nursing homes (n=9735), hospital referral regions (HRR; n=289). SUBJECTS: Long-stay residents with dementia (n=273,004). METHODS: Using 2018 Minimum Data Set 3.0 linked to Medicare data, facility information, and Dartmouth Atlas files, we calculated prevalence of use and separate multilevel logistic models [outcomes: memantine, cholinesterase inhibitor (ChEI), antipsychotic use] estimated adjusted odds ratios (aOR) and 95% CIs for resident, facility, and HRR characteristics. We then fit a series of cross-classified multilevel logistic models to estimate the proportional change in cluster variance (PCV). RESULTS: Overall, 20.9% used antipsychotics, 16.1% used memantine, and 23.3% used ChEIs. For antipsychotics, facility factors [eg, use of physical restraints (aOR: 1.08; 95% CI: 1.05-1.11) or poor staffing ratings (aOR: 1.10; 95% CI: 1.06-1.14)] were associated with more antipsychotic use. Nursing homes in HRRs with the highest health care utilization had greater antidementia drug use (aOR memantine: 1.68; 95% CI: 1.44-1.96). Resident/facility factors accounted for much regional variation in antipsychotics (PCVSTATE: 27.80%; PCVHRR: 39.54%). For antidementia medications, HRR-level factors accounted for most regional variation (memantine PCVSTATE: 37.44%; ChEI PCVSTATE: 39.02%). CONCLUSION: Regional variations exist in antipsychotic and antidementia medication use among nursing home residents with dementia suggesting the need for evidence-based protocols to guide the use of these medications.

Antidementia Medication Use in Nursing Home Residents.

BACKGROUND: Antidementia medication can provide symptomatic improvements in patients with Alzheimer's disease, but there is a lack of consensus guidance on when to start and stop treatment in the nursing home setting. METHODS: We describe utilization patterns of cholinesterase inhibitors (ChEI) and memantine for 3,50,197 newly admitted NH residents with dementia between 2011 and 2018. RESULTS: Overall, pre-admission use of antidementia medications declined from 2011 to 2018 (ChEIs: 44.5% to 36.9%; memantine: 27.4% to 23.2%). Older age, use of a feeding tube, and greater functional dependency were associated with lower odds of ChEI initiation. Coronary artery disease, parenteral nutrition, severe aggressive behaviors, severe cognitive impairment, and high functional dependency were associated with discontinuation of ChEIs. Comparison of clinical factors related to anti-dementia drug treatment changes from pre to post NH admission in 2011 and 2018 revealed a change toward lower likelihood of initiation of treatment among residents with more functional dependency and those with indicators of more complex illness as well as a change toward higher likelihood of discontinuation in residents having 2 or more hospital stays. CONCLUSIONS: These prescribing trends highlight the need for additional research on the effects of initiating and discontinuing antidementia medications in the NH to provide clear guidance for clinicians when making treatment decisions for individual residents.

Association of neighborhood-level sociodemographic factors with Direct-to-Consumer (DTC) distribution of COVID-19 rapid antigen tests in 5 US communities.

BACKGROUND: Many interventions for widescale distribution of rapid antigen tests for COVID-19 have utilized online, direct-to-consumer (DTC) ordering systems; however, little is known about the sociodemographic characteristics of home-test users. We aimed to characterize the patterns of online orders for rapid antigen tests and determine geospatial and temporal associations with neighborhood characteristics and community incidence of COVID-19, respectively. METHODS: This observational study analyzed online, DTC orders for rapid antigen test kits from beneficiaries of the Say Yes! Covid Test program from March to November 2021 in five communities: Louisville, Kentucky; Indianapolis, Indiana; Fulton County, Georgia; O'ahu, Hawaii; and Ann Arbor/Ypsilanti, Michigan. Using spatial autoregressive models, we assessed the geospatial associations of test kit distribution with Census block-level education, income, age, population density, and racial distribution and Census tract-level Social Vulnerability Index. Lag association analyses were used to measure the association between online rapid antigen kit orders and community-level COVID-19 incidence. RESULTS: In total, 164,402 DTC test kits were ordered during the intervention. Distribution of tests at all sites were significantly geospatially clustered at the block-group level (Moran's I: p < 0.001); however, education, income, age, population density, race, and social vulnerability index were inconsistently associated with test orders across sites. In Michigan, Georgia, and Kentucky, there were strong associations between same-day COVID-19 incidence and test kit orders (Michigan: r = 0.89, Georgia: r = 0.85, Kentucky: r = 0.75). The incidence of COVID-19 during the current day and the previous 6-days increased current DTC orders by 9.0 (95% CI = 1.7, 16.3), 3.0 (95% CI = 1.3, 4.6), and 6.8 (95% CI = 3.4, 10.2) in Michigan, Georgia, and Kentucky, respectively. There was no same-day or 6-day lagged correlation between test kit orders and COVID-19 incidence in Indiana. CONCLUSIONS: Our findings suggest that online ordering is not associated with geospatial clustering based on sociodemographic characteristics. Observed temporal preferences for DTC ordering can guide public health messaging around DTC testing programs.

Paramagnetic rim lesions are associated with pathogenic CSF profiles and worse clinical status in multiple sclerosis: A retrospective cross-sectional study.

BACKGROUND: Paramagnetic rims have been observed as a feature of some multiple sclerosis (MS) lesions on susceptibility-sensitive magnetic resonance imaging (MRI) and indicate compartmentalized inflammation. OBJECTIVE: To investigate clinical, MRI, and intrathecal (cerebrospinal fluid, CSF) associations of paramagnetic rim lesions (PRLs) using 3T MRI in MS. METHODS: This is a retrospective, cross-sectional analysis. All patients underwent 3T MRI using a T2*-weighted sequence with susceptibility postprocessing (susceptibility-weighted angiography (SWAN) protocol, GE). SWAN-derived filtered-phase maps and corresponding T2-FLAIR images were manually reviewed to determine PRL. Descriptive statistics, t-tests, and regression determined demographic, clinical, MRI, and CSF associations with PRL. RESULTS: A total of 147 MS patients were included; 79 of whom had available CSF. Forty-three percent had at least one PRL. PRL status (presence/absence) did not vary by sex or Expanded Disability Status Scale (EDSS) but was associated with younger age, shorter disease duration, worse disease severity, high-efficacy therapy use, and poorer dexterity, as well as lower age-adjusted brain volumes and cognitive processing speeds. PRL status was moreover associated with blood-brain barrier disruption as determined by pathologically elevated albumin quotient. Sensitivity analyses remained supportive of these findings. CONCLUSION: PRLs, an emerging noninvasive biomarker of chronic neuroinflammation, are confirmed to be associated with greater disease severity and newly shown to be preliminarily associated with blood-brain barrier disruption.

Trajectories of physical frailty and cognitive impairment in older adults in United States nursing homes.

BACKGROUND: U.S. nursing homes provide long-term care to over 1.2 million older adults, 60% of whom were physically frail and 68% had moderate or severe cognitive impairment. Limited research has examined the longitudinal experience of these two conditions in older nursing home residents. METHODS: This national longitudinal study included newly-admitted non-skilled nursing care older residents who had Minimum Data Set (MDS) 3.0 (2014-16) assessments at admission, 3 months, and 6 months (n = 266,001). Physical frailty was measured by FRAIL-NH and cognitive impairment by the Brief Interview for Mental Status. Separate sets of group-based trajectory models were fitted to identify the trajectories of physical frailty and trajectories of cognitive impairment, and to estimate the association between older residents' characteristics at admission with each set of trajectories. A dual trajectory model was used to quantify the association between the physical frailty trajectories and cognitive impairment trajectories. RESULTS: Over the course of the first six months post-admission, five physical frailty trajectories ["Consistently Frail" (prevalence: 53.0%), "Consistently Pre-frail" (29.0%), "Worsening Frailty" (7.6%), "Improving Frailty" (5.5%), and "Consistently Robust" (4.8%)] and three cognitive impairment trajectories ["Consistently Severe Cognitive Impairment" (35.5%), "Consistently Moderate Cognitive Impairment" (31.8%), "Consistently Intact/Mild Cognitive Impairment" (32.7%)] were identified. One in five older residents simultaneously followed the trajectories of "Consistently Frail" and "Consistently Severe Cognitive Impairment". Characteristics associated with higher odds of the "Improving Frailty", "Worsening Frailty", "Consistently Pre-frail" and "Consistently Frail" trajectories included greater at-admission cognitive impairment, age ≥ 85 years, admitted from acute hospitals, cardiovascular/metabolic diagnoses, neurological diagnoses, hip or other fractures, and presence of pain. Characteristics associated with higher odds of the "Consistently Moderate Cognitive Impairment" and "Consistently Severe Cognitive Impairment" included worse at-admission physical frailty, neurological diagnoses, hip fracture, and receipt of antipsychotics. CONCLUSIONS: Findings provided information regarding the trajectories of physical frailty, the trajectories of cognitive impairment, the association between the two sets of trajectories, and their association with residents' characteristics in older adults' first six months post-admission to U.S. nursing homes. Understanding the trajectory that the residents would most likely follow may provide information to develop a comprehensive care approach tailored to their specific healthcare goals.

Healthcare use in commercially insured youth with mental health disorders.

BACKGROUND: The objective of this study is to describe age-related patterns of outpatient healthcare utilization in youth and young adults with mental health disorders. METHOD: We used the IBM® MarketScan® Commercial Database to identify 359,413 youth and young adults (12-27 years) with a mental health disorder continuously enrolled in private health insurance in 2018. Exploratory analysis was used to describe patterns of outpatient healthcare use (e.g., primary, reproductive, mental health care) and therapeutic management (e.g., medication prescriptions, psychotherapy) by age. Period prevalence and median number of visits are reported. Additional analysis explored utilization patterns by mental health disorder. RESULTS: The prevalence of outpatient mental health care and primary care decreased with age, with a larger drop in primary care utilization. While 74.0-78.4% of those aged 12-17 years used both outpatient mental health care and primary care, 53.1-59.7% of those aged 18-27 years did. Most 18-19-year-olds had a visit with an internal medicine or family medicine specialist, a minority had a pediatrician visit. The prevalence of medication management increased with age, while the prevalence of psychotherapy decreased. CONCLUSIONS: Taken together, this descriptive study illustrates age-related differences in outpatient healthcare utilization among those with mental health disorders. Additionally, those with the most severe mental health disorders seem to be least connected to outpatient care. This knowledge can inform efforts to improve utilization of healthcare across the transition to adulthood.

Geographic Variation of Statin Use Among US Nursing Home Residents With Life-limiting Illness.

BACKGROUND: Medically compromised nursing home residents continue to be prescribed statins, despite questionable benefits. OBJECTIVE: To describe regional variation in statin use among residents with life-limiting illness. RESEARCH DESIGN: Cross-sectional study using 2016 Minimum Data Set 3.0 assessments linked to Medicare administrative data and health service utilization area resource files. SETTING: Nursing homes (n=14,147) within hospital referral regions (n=306) across the United States. SUBJECTS: Long-stay residents (aged 65 y and older) with life-limiting illness (eg, serious illness, palliative care, or prognosis <6 mo to live) (n=361,170). MEASURES: Prevalent statin use was determined by Medicare Part D claims. Stratified by age (65-75, 76 y or older), multilevel logistic models provided odds ratios with 95% confidence intervals. RESULTS: Statin use was prevalent (age 65-75 y: 46.0%, 76 y or more: 31.6%). For both age groups, nearly all resident-level variables evaluated were associated with any and high-intensity statin use and 3 facility-level variables (ie, higher proportions of Black residents, skilled nursing care provided, and average number of medications per resident) were associated with increased odds of statin use. Although in residents aged 65-75 years, no associations were observed, residents aged 76 years or older located in hospital referral regions (HRRs) with the highest health care utilization had higher odds of statin use than those in nursing homes in HRRs with the lowest health care utilization. CONCLUSIONS: Our findings suggest extensive geographic variation in US statin prescribing across HRRs, especially for those aged 76 years or older. This variation may reflect clinical uncertainty given the largely absent guidelines for statin use in nursing home residents.

Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes.

INTRODUCTION: In older US nursing home (NH) residents, there is limited research on the prevalence of physical frailty, its potential dynamic changes, and its association with cognitive impairment in older adults' first 6 months of NH stay. METHODS: Minimum Data Set (MDS) 3.0 is the national database on residents in US Medicare-/Medicaid-certified NHs. MDS 3.0 was used to identify older adults aged ≥65 years, newly admitted to NHs during January 1, 2014, and June 30, 2016, with life expectancy ≥6 months at admission and NH length of stay ≥6 months (N = 571,139). MDS 3.0 assessments at admission, 3 months, and 6 months were used. In each assessment, physical frailty was measured by FRAIL-NH (robust, prefrail, and frail) and cognitive impairment by Brief Interview for Mental Status and Cognitive Performance Scale (none/mild, moderate, and severe). Demographic characteristics and diagnosed conditions were measured at admission, while presence of pain and receipt of psychotropic medications were at each assessment. Distribution of physical frailty and its change over time by cognitive impairment were described. A nonproportional odds model was fitted with a generalized estimation equation to longitudinally examine the association between physical frailty and cognitive impairment, adjusting for demographic and clinical characteristics. RESULTS: Around 60% of older residents were physically frail in the first 6 months. Improvement and worsening across physical frailty levels were observed. Particularly, in those who were prefrail at admission, 23% improved to robust by 3 months. At admission, 3 months, and 6 months, over 37% of older residents had severe cognitive impairment and about 70% of those with cognitive impairment were physically frail. At admission, older residents with moderate cognitive impairment were 35% more likely (adjusted odds ratio [aOR]: 1.35, 95% confidence interval [CI]: 1.33-1.37) and those with severe impairment were 74% more likely (aOR: 1.74, 95% CI: 1.72-1.77) to be frail than prefrail/robust, compared to those with none/mild impairment. The association between the 2 conditions remained positive and consistently increased over time. DISCUSSION/CONCLUSION: Physical frailty was prevalent in NHs with potential to improve and was strongly associated with cognitive impairment. Physical frailty could be a modifiable target, and interventions may include efforts to address cognitive impairment.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis.

BACKGROUND: Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents. METHODS: Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs). RESULTS: In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)]. CONCLUSIONS: Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Adiposity in Adolescents: The Interplay of Sleep Duration and Sleep Variability.

OBJECTIVE: To assess whether adiposity measures differed according to joint categories of sleep duration and sleep variability in a sample of Mexican adolescents. STUDY DESIGN: A sample of 528 Mexico City adolescents aged 9-17 years wore wrist actigraphs for 6-7 days. Average sleep duration was categorized as age-specific sufficient or insufficient. Sleep variability, the standard deviation of sleep duration, was split at the median into stable versus variable. Adiposity measures-body mass index (BMI)-for-age Z score (BMIz), triceps skinfolds, waist circumference, and percent body fat-were collected by trained assistants. We regressed adiposity measures on combined sleep duration and variability categories. Log binomial models were used to estimate prevalence ratios and 95% CI for obesity (>2 BMIz) by joint categories of sleep duration and variability, adjusting for sex, age, and maternal education. RESULTS: Approximately 40% of the adolescents had insufficient sleep and 13% were obese. Relative to sufficient-stable sleepers, adolescents with insufficient-stable sleep had higher adiposity across all 4 measures (eg, adjusted difference in BMIz was 0.68; 95% CI, 0.35-1.00) and higher obesity prevalence (prevalence ratio, 2.54; 95% CI, 1.36-4.75). Insufficient-variable sleepers had slightly higher BMIz than sufficient-stable sleepers (adjusted difference, 0.30; 95% CI, 0.00-0.59). CONCLUSIONS: Adolescents with consistently insufficient sleep could be at greater risk for obesity. The finding that insufficient-variable sleepers had only slightly higher adiposity suggests that opportunities for "catch-up" sleep may be protective.

Geographic Variation in the Initiation of Commonly Used Opioids and Dosage Strength in United States Nursing Homes.

OBJECTIVES: To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents. METHODS: We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state. RESULTS: Oxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%-74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57-5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25-0.31) to be prescribed potentially inappropriately high doses. CONCLUSIONS: We documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level.

Associations of the infancy body mass index peak with anthropometry and cardiometabolic risk in Mexican adolescents.

BACKGROUND: Early-life growth dynamics are associated with future health. Little is known regarding timing and magnitude of the infancy body mass index (BMI) peak with adiposity and metabolic biomarkers during adolescence. AIM: To examine associations of the infancy BMI peak with anthropometry and cardiometabolic risk during peripuberty. METHODS: Among 163 ELEMENT participants, this study estimated age and magnitude of the infancy BMI peak from eight anthropometric measurements from birth-36 months using Newton's Growth Models, an acceleration-based process model. Associations were examined of the infancy milestones with anthropometry and cardiometabolic risk at 8-14 years using linear regression models that accounted for maternal calcium supplementation and age; child's birthweight, sex, and age; and the other infancy milestone. RESULTS: Median age at the infancy BMI peak was 9.6 months, and median peak BMI was 16.5 kg/m2. Later age and larger magnitude of the peak predicted higher BMI z-score, waist circumference, and skinfold thicknesses; i.e. each 1 month of age at peak and each 1 kg/m2 of peak BMI corresponded with 0.04 (0.01-0.07) and 0.33 (0.17-0.48) units of higher BMI z-score, respectively. Later age at peak was also a determinant of worse glycaemia and higher blood pressure. CONCLUSION: Later age and larger magnitude of the infancy BMI peak are associated with higher adiposity at 8-14 years of age. Later age but not magnitude of the BMI peak are related to a worse cardiometabolic profile during peripuberty.

Prognosis of Midlife Stroke.

OBJECTIVE: To characterize stroke outcomes in a midlife population-based stroke cohort, and to describe comorbidities, quality of care, and risk of recurrence in this age group. MATERIALS AND METHODS: Ischemic strokes (ISs) were identified from the population-based Brain Attack Surveillance in Corpus Christi Project (2000-2012). Data were from medical records and patient interviews. Ninety-day outcomes (functional, neurologic, cognitive, quality of life [QOL]), prevalence of comorbidities, quality of care, and 1-year recurrence were estimated for those aged 45-64 (midlife) and compared with those aged ≥65 using sex and race-ethnicity adjusted regression models. RESULTS: Of 4858 ISs, 33% occurred in midlife. On average, the midlife group reported some difficulty with function, favorable neurologic and cognitive outcomes, and moderate QOL scores at 90 days. All outcomes except QOL were better in the midlife group. Prevalent comorbidities in midlife were hypertension (74%), diabetes (51%), hyperlipidemia (34%), heart disease (26%), prior stroke/transient ischemic attack (23%), smoking 37%, excess alcohol 10%, and atrial fibrillation 4%. Median body mass index (BMI) was 30 (interquartile range: 26-35). Diabetes, smoking, and alcohol were more prevalent and BMI higher in the midlife group. Quality of stroke care did not differ by age. One-year recurrence in midlife was 8% (95% confidence interval: 6%-9%) and did not differ by age. CONCLUSION: While 90-day outcomes were more favorable than in the elderly, midlife stroke survivors faced some disability and did not experience better QOL despite better outcomes. Additional research should identify targets to optimize secondary stroke prevention and improve outcomes in midlife stroke survivors-an understudied group with great potential disability and economic impact.

Reach Out Churches: A Community-Based Participatory Research Pilot Trial to Assess the Feasibility of a Mobile Health Technology Intervention to Reduce Blood Pressure Among African Americans.

Innovative strategies are needed to reduce the hypertension epidemic among African Americans. Reach Out was a faith-collaborative, mobile health, randomized, pilot intervention trial of four mobile health components to reduce high blood pressure (BP) compared to usual care. It was designed and tested within a community-based participatory research framework among African Americans recruited and randomized from churches in Flint, Michigan. The purpose of this pilot study was to assess the feasibility of the Reach Out processes. Feasibility was assessed by willingness to consent (acceptance of randomization), proportion of weeks participants texted their BP readings (intervention use), number lost to follow-up (retention), and responses to postintervention surveys and focus groups (acceptance of intervention). Of the 425 church members who underwent BP screening, 94 enrolled in the study and 73 (78%) completed the 6-month outcome assessment. Median age was 58 years, and 79% were women. Participants responded with their BPs on an average of 13.7 (SD = 10.7) weeks out of 26 weeks that the BP prompts were sent. All participants reported satisfaction with the intervention. Reach Out, a faith-collaborative, mobile health intervention was feasible. Further study of the efficacy of the intervention and additional mobile health strategies should be considered.

Statistical Methods to Study Variation in Associations Between Food Store Availability and Body Mass in the Multi-Ethnic Study of Atherosclerosis.

Research linking characteristics of the neighborhood environment to health has relied on traditional regression methods where prespecified distances from participant's locations or areas are used to operationalize neighborhood-level measures. Because the relevant spatial scale of neighborhood environment measures may differ across places or individuals, using prespecified distances could result in biased association estimates or efficiency losses. We use novel hierarchical distributed lag models and data from the Multi-Ethnic Study of Atherosclerosis (MESA) to (1) examine whether and how the association between the availability of favorable food stores and body mass index (BMI) depends on continuous distance from participant locations (instead of traditional buffers), thus allowing us to indirectly infer the spatial scale at which this association operates; (2) examine if the spatial scale and magnitude of the association differs across six MESA sites, and (3) across individuals. As expected, we found that the association between higher availability of favorable food stores within closer distances from participant's residential location was stronger than at farther distances, and that the magnitude of the adjusted association declined quickly from zero to two miles. Furthermore, between-individual heterogeneity in the scale and magnitude of the association was present; the extent of this heterogeneity was different across the MESA sites. Individual heterogeneity was partially explained by sex. This study illustrated novel methods to examine how neighborhood environmental factors may be differentially associated with health at different scales, providing nuance to previous research that ignored the heterogeneity found across individuals and contexts.

Sex Disparity in Stroke Quality of Care in a Community-Based Study.

BACKGROUND: Studies have suggested that women may receive lower stroke quality of care (QOC) than men, although population-based studies at nonacademic centers are limited. We investigated sex disparities in stroke QOC in the Brain Attack Surveillance in Corpus Christi Project. METHODS: All ischemic stroke patients admitted to 1 of 6 Nueces County nonacademic hospitals between February 2009 and June 2012 were prospectively identified. Data regarding compliance with 7 performance measures (PMs) were extracted from the medical records. Two overall quality metrics were calculated: a composite score of QOC representing the number of achieved PMs over all patient-appropriate PMs, and a binary measure of defect-free care. Multivariable models with generalized estimating equations assessed the association between sex and individual PMs and between sex and overall quality metrics. RESULTS: A total of 757 patients (51.6% female) were included in our analysis. After adjustment, women were less likely to receive deep vein thrombosis prophylaxis at 48 hours (relative risk [RR] = .945; 95% CI, .896-.996), an antithrombotic by 48 hours (RR = .952; 95% CI, .939-.965), and to be discharged on an antithrombotic (RR = .953; 95% CI, .925-.982). Women had a lower composite score (mean difference -.030, 95% CI -.057 to -.003) and were less likely to receive defect-free care than men (RR = .914; 95% CI, .843-.991). CONCLUSIONS: Women had lower overall stroke QOC than men, although absolute differences in most individual PMs were small. Further investigation into the factors contributing to the sex disparity in guideline-concordant stroke care should be pursued.

The Impact of Pre-Stroke Depressive Symptoms, Fatalism, and Social Support on Disability after Stroke.

BACKGROUND: Psychological and social factors have been linked to stroke mortality; however, their impact on stroke disability is unclear. The purpose of this study was to evaluate the impact of pre-stroke fatalism, depressive symptoms, and social support on 90-day neurologic, functional, and cognitive outcomes. METHODS: Ischemic strokes (2008-2011) were identified from the Brain Attack Surveillance in Corpus Christi Project. Validated scales were used to assess fatalism, depressive symptoms, and social support during baseline interviews. The National Institutes of Health Stroke Scale, activities of daily living/instrumental activities of daily living (ADL/IADL) scale, and Modified Mini-Mental State Exam (3MSE) were used to assess 90-day outcomes. The associations between the pre-stroke variables and 90-day outcomes were estimated from regression models adjusting for demographics, risk factors, tissue-type plasminogen activator treatment, and comorbidities. RESULTS: Among 364 stroke survivors, higher pre-stroke fatalism was associated with worse functional (.17 point higher ADL/IADL per interquartile range [IQR] higher fatalism; 95% confidence interval [CI]: .05, .30) and cognitive (2.81 point lower 3MSE per IQR higher fatalism; 95% CI: .95, 4.67) outcomes. Higher pre-stroke depressive symptoms were associated with worse functional (.16 point higher ADL/IADL per IQR higher Patient Health Questionnaire-9; 95% CI: .04, .28) and cognitive (2.28 point lower 3MSE per IQR higher Patient Health Questionnaire-9; 95% CI: .46, 4.10) outcomes. Participants in the middle tertile of social support had better cognitive outcomes (3.75 points higher 3MSE; 95% CI: .93, 6.56) compared with the highest tertile. CONCLUSIONS: The associations between pre-stroke fatalism, depressive symptoms, and social support and 90-day outcomes suggest that psychosocial factors play an important role in stroke recovery.

Hierarchical Distributed-Lag Models: Exploring Varying Geographic Scale and Magnitude in Associations Between the Built Environment and Health.

It is well known that associations between features of the built environment and health depend on the geographic scale used to construct environmental attributes. In the built environment literature, it has long been argued that geographic scales may vary across study locations. However, this hypothesized variation has not been systematically examined due to a lack of available statistical methods. We propose a hierarchical distributed-lag model (HDLM) for estimating the underlying overall shape of food environment-health associations as a function of distance from locations of interest. This method enables indirect assessment of relevant geographic scales and captures area-level heterogeneity in the magnitudes of associations, along with relevant distances within areas. The proposed model was used to systematically examine area-level variation in the association between availability of convenience stores around schools and children's weights. For this case study, body mass index (weight kg)/height (m)2) z scores (BMIz) for 7th grade children collected via California's 2001-2009 FitnessGram testing program were linked to a commercial database that contained locations of food outlets statewide. Findings suggested that convenience store availability may influence BMIz only in some places and at varying distances from schools. Future research should examine localized environmental or policy differences that may explain the heterogeneity in convenience store-BMIz associations.

Distributed Lag Models: Examining Associations Between the Built Environment and Health.

Built environment factors constrain individual level behaviors and choices, and thus are receiving increasing attention to assess their influence on health. Traditional regression methods have been widely used to examine associations between built environment measures and health outcomes, where a fixed, prespecified spatial scale (e.g., 1 mile buffer) is used to construct environment measures. However, the spatial scale for these associations remains largely unknown and misspecifying it introduces bias. We propose the use of distributed lag models (DLMs) to describe the association between built environment features and health as a function of distance from the locations of interest and circumvent a-priori selection of a spatial scale. Based on simulation studies, we demonstrate that traditional regression models produce associations biased away from the null when there is spatial correlation among the built environment features. Inference based on DLMs is robust under a range of scenarios of the built environment. We use this innovative application of DLMs to examine the association between the availability of convenience stores near California public schools, which may affect children's dietary choices both through direct access to junk food and exposure to advertisement, and children's body mass index z scores.