Search

Background: Studies are increasingly examining the relationship between the neighborhood environment and cognitive decline; yet, few have investigated associations between multiple neighborhood features and Alzheimer's disease and related dementias (ADRD)., Objective: We investigated the relationship between neighborhood features and ADRD cumulative incidence from 2010 to 2014 in the South Carolina Alzheimer's Disease Registry (SCADR)., Methods: Diagnosed ADRD cases ≥ 50  years of age were ascertained from the SCADR by ZIP code and census tract. Neighborhood features from multiple secondary sources included poverty, air pollution [particulate matter with a diameter of 2.5 micrometers or less ( PM 2.5 )], and rurality at the census-tract level and access to healthy food, recreation facilities, and diabetes screening at the county level. In addition to using Poisson generalized linear regression to estimate ADRD incident rate ratios (IRR) with 95% confidence intervals (CIs), we applied integrated nested Laplace approximations and stochastic partial differential equations (INLA-SPDE) to address disparate spatial scales. We estimated associations between neighborhood features and ADRD cumulative incidence., Results: The average annual ADRD cumulative incidence was 690 per 100,000 people per census tract (95% CI: 660, 710). The analysis was limited to 98% of census tracts with a population ≥ 50  years old (i.e., 1,081 of 1,103). The average percent of families living below the federal poverty line per census tract was 18.8%, and ∼ 20 % of census tracts were considered rural. The average percent of households with limited access to healthy food was 6.4%. In adjusted models, every 5 μ g / m 3 ) increase of PM 2.5 was associated with 65% higher ADRD cumulative incidence ( IRR = 1.65 ; 95% CI: 1.30, 2.09), where PM 2.5 at or below 12   μ g / m 3 is considered healthy. Compared to large urban census tracts, rural and small urban tracts had 10% ( IRR = 1.10 ; 95% CI: 1.00, 1.23) and 5% ( IRR = 1.05 ; 95% CI: 0.96, 1.16) higher ADRD, respectively. For every percent increase of the county population with limited access to healthy food, ADRD was 2% higher ( IRR = 1.02 ; 95% CI: 1.01, 1.04)., Conclusions: Neighborhood environment features, such as higher air pollution levels, were associated with higher neighborhood ADRD incidence. The INLA-SPDE method could have broad applicability to data collected across disparate spatial scales. https://doi.org/10.1289/EHP13183.

Background The Framingham 10-year cardiovascular disease risk score, which is based on age, sex, smoking, total cholesterol, high-density lipoprotein-cholesterol, blood pressure, and diabetes, has been found to be associated with cognitive health, but these findings have not been validated in a representative sample in the United States. We aimed to examine the associations of Framingham risk score with cognitive function among older adults in a nationally representative sample, as well as by race or ethnicity, education, and family income. Methods and Results A total of 2254 older adults ≥60 years (57% female, 79% non-Hispanic White) in the National Health and Nutrition Examination Survey 2011 to 2014 were included in the final sample for analysis. All components of the Framingham risk score were obtained with questionnaire or measured in the laboratory. Cognitive function was examined using the Consortium to Establish a Registry for Alzheimer's Disease Word List Memory Task (immediate and delayed memory), Digit Symbol Substitution Test, and Animal Fluency Test. Multivariable linear regression models were used to assess the associations between Framingham risk score and test-specific and global cognition Z scores. Each incremental 5% in Framingham 10-year cardiovascular disease risk was associated with lower Z scores for Digit Symbol Substitution Test (β=-0.06 [95% CI, -0.09 to -0.03]), delayed memory (β=-0.05 [95% CI, -0.08 to -0.01]), immediate memory (β=-0.07 [95% CI, -0.10 to -0.03]), and global cognition (β=-0.05 [95% CI, -0.09 to -0.02]). Socioeconomic status, particularly race or ethnicity and monthly income levels, were strong effect measure modifiers of the associations. Conclusions Lower cardiovascular risk factors are associated with better cognitive function.

Background: Neonatal health at delivery as measured by apgar scores is an important outcome. This study was done to assess the impact of anesthesia on Apgar 1-minute and 5-minute scores of infants delivered through elective cesarean section in Zimbabwe., Methods: We carried out a secondary analysis of data from the Efficacy of Tranexamic Acid in Preventing Postpartum Hemorrhage (ETAPPH) clinical trial in Zimbabwe. Outcomes measured were infant Apgar scores at 1 and 5 min, exposure was the administration of either a general (intravenous propofol/ketamine/sodium thiopental) or spinal (hyperbaric bupivacaine 0.5%) anesthesia for anesthesia during the elective cesarean section procedure. Marginal Structural Logistic Modelling (MSM) using an unstabilized Inverse Probability Treatment Weight (IPTW) estimator was used to assess the relationship between anesthetic administration method and infant Apgar scores., Results: Four hundred and twenty-one (421) women who had an elective caesarean section in the ETAPPH study had their infants assessed for Apgar scores. Comparing general anesthesia to spinal anesthesia, spinal anesthesia was related to good Apgar scores at 1-minute (adjusted odds ratio [aOR] = 4.0, 95% Confidence Interval = 1.5-10.7, sensitivity analysis E-value = 3.41). Spinal anesthetic administration was also related to good Apgar scores at 5 min (adjusted odds ratio [aOR] = 6.2, 95% Confidence Interval = 1.6-23.1, sensitivity analysis E-value = 4.42)., Conclusions: When providing anesthesia for patients undergoing elective cesarean section, care should be taken on the method of administration of anesthetic agents. General anesthesia tends to depress Apgar scores at 1 min, although most neonates recover and have better scores at 5 min. Spinal anesthesia should be the first choice whenever possible., Trial Registration: The clinical trial from which data of this study was abstracted was registered under clinical trials registration number NCT04733157., (© 2023. The Author(s).)

Background: Neuropsychiatric symptoms (NPSs) lead to myriad poor health outcomes among individuals with Alzheimer's disease (AD). Prior studies have observed associations between the various aspects of the home environment and NPSs, but macro-level environmental stressors (e.g., neighborhood income) may also disrupt the neuronal microenvironment and exacerbate NPSs. Yet, to our knowledge, no studies have investigated the relationship between the neighborhood environment and NPSs., Methods: Using 2010 data among older adults with AD collected from a sample of the South Carolina Alzheimer's Disease Registry, we estimated cross-sectional associations between neighborhood characteristics and NPSs in the overall population and by race/ethnicity. Neighborhood measures (within a 1/2-mile radius of residence) came from the American Community Survey and Rural Urban Commuting Area Code. We categorized median household income into tertiles: < $30,500, $30,500-40,000, and > $40,000, and rurality as: rural, small urban, and large urban. Residential instability was defined as the percent of residents who moved within the past year. NPSs were defined using the Neuropsychiatric Inventory Questionnaire that included the composite measure of all 12 domains. Adjusting for age, sex/gender, race/ethnicity, and caregiver educational attainment, we used negative binomial regression to estimate prevalence ratios (PR) and 95% confidence intervals (CI) for NPSs by neighborhood characteristics., Results: Among 212 eligible participants, mean age was 82 ± 8.7 years, 72% were women, and 55% non-Hispanic (NH)-Black. Individuals with AD living in < $30,500 vs. > $40,000 income neighborhoods had a 53% (PR = 1.53; 95% CI = 1.06-2.23) higher prevalence of NPSs while individuals living in rural vs. large urban neighborhoods had a 36% lower prevalence of NPSs (PR = 0.64; 95% CI = 0.45-0.90), after adjustment. We did not observe an association between residential instability and NPSs (PR = 0.92; 95% CI = 0.86-1.00); however, our estimates suggested differences by race/ethnicity where NH-White older adults living in residential instable areas had lower NPSs (PR = 0.89; 95% CI = 0.82-0.96) compared to NH-Black older adults (PR = 0.96; 95% CI = 0.86-1.07)., Discussion: Across racial/ethnic groups, individuals with AD had more symptomology when living in lower income areas. Pending replication, intervention efforts should consider resource allocation to high-need neighborhoods (e.g., lower income), and studies should investigate underlying mechanisms for this relationship., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Alhasan, Lohman, Hirsch, Miller, Cai and Jackson.)

Depression in the United States (US) is increasing across all races and ethnicities and is attributed to multiple social determinants of health (SDOH). For members of historically marginalized races and ethnicities, depression is often underreported and undertreated, and can present as more severe. Limited research explores multiple SDOH and depression among African American adults in the US. Guided by Healthy People (HP) 2030, and using cross-disciplinary mental health terminology, we conducted a comprehensive search to capture studies specific to African American adults in the US published after 2016. We applied known scoping review methodology and followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. From 12,315 initial results, 60 studies were included in our final sample. Most studies explored the HP 2030 Social and Community Context domain, with a heavy focus on discrimination and social support; no studies examined Health Care Access and Quality. Researchers typically utilized cross-sectional, secondary datasets; no qualitative studies were included. We recommend research that comprehensively examines mental health risk and protective factors over the life course within, not just between, populations to inform tailored health promotion and public policy interventions for improving SDOH and reducing racial and ethnic health disparities.

While studies have documented the influence of caregiver and care recipient factors on caregiver health, it is important to address the potential impact of neighborhood contexts. This study estimated the cross-sectional associations between neighborhood characteristics and mental health among caregivers cohabiting with Alzheimer's disease care recipients that were experiencing severe or non-severe neuropsychiatric symptoms (NPSs) (e.g., aggression/anxiety). We obtained data collected in 2010 on caregivers and care recipients ( n = 212) from a subset of South Carolina's Alzheimer's Disease Registry. Neighborhood measures (within 1 mile of the residence) came from the American Community Survey and the Rural-Urban Commuting Area Code. We categorized the neighborhood median household income into tertiles, namely, "low" (<$31,000), "medium" ($31,000-40,758), and "high" (>$40,758), and rurality as "large urban," "small urban," and "rural." We used negative binomial regression to estimate the prevalence ratios (PRs) and 95% confidence intervals (CIs) for caregiver mental health using neighborhood characteristics. The mean age was 58 ± 10.3 years, 85% were women, and 55% were non-Hispanic Black. Among the caregivers cohabiting with a recipient experiencing severe NPS, higher distress was experienced by caregivers living in low- (PR = 1.61 (95% CI = 1.26-2.04)) and medium- (PR = 1.45 (95% CI = 1.17-1.78)) vs. high-income neighborhoods after an adjustment. These results suggest that neighborhood characteristics may amplify other social stressors experienced by caregivers.

There is conflicting evidence regarding the association between insomnia and the onset of mild cognitive impairment (MCI) or dementia. This study aimed to evaluate if time-varying insomnia is associated with the development of MCI and dementia. Data from the Health and Retirement Study ( n = 13,833) from 2002 to 2014 were used (59.4% female). The Brief Insomnia Questionnaire was used to identify insomnia symptoms which were compiled in an insomnia severity index, ranging from 0 to 4. In analysis, participants' symptoms could vary from wave-to-wave. Dementia was defined using results from the Health and Retirement Study (HRS) global cognitive assessment tool. Respondents were classified as either having dementia, MCI, or being cognitively healthy. Cox proportional hazards models with time-dependent exposure using the counting process (start-stop time) were used for analysis. For each one-unit increase in the insomnia symptom index, there was a 5-percent greater hazard of MCI (HR = 1.05; 95% CI: 1.04-1.06) and dementia (HR = 1.05; 95% CI: 1.03-1.05), after fully adjusting. Using a nationally representative sample of adults age 51 and older, this study found that time-varying insomnia symptoms are associated with risk of MCI and dementia. This highlights the importance of identifying sleep disturbances and their change over time as potentially important risk factors for MCI and dementia.

Objective: This systematic review examined the impact of health homes on cardiometabolic risk among adults with serious mental illness., Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures were used to conduct the systematic review. Databases were searched for peer-reviewed articles published between 1946 and August 2018 that compared health homes with a control condition (e.g., usual care and secondary data analyses using matched samples). Participants, interventions, comparisons, outcomes, and study design criteria were used to assess study eligibility. Studies were assessed for methodological quality by using the Quality Assessment of Before and After Studies With No Control Group and the Quality Assessment of Controlled Intervention Studies., Results: Eighteen studies (i.e., 11 observational studies, four quasi-experimental studies, and three randomized controlled trials) reported on 17 health homes. Most studies reported increases in receipt of screening for cardiometabolic risk factors and service use. There was a modest reduction in selected cardiometabolic risk factors among people with serious mental illness, but clinical outcomes varied widely among studies., Conclusions: Improvement in cardiometabolic risk factors varied across the studies, and the clinical significance of these reductions was not clear. Peer support and self-management training may represent strategies to improve cardiometabolic risk factors. Colocation of services may not be enough to significantly affect cardiometabolic risk factors. Health homes that include standardized screening, peer support and self-management training, and intervention components that target interdependent risk factors may have a greater impact on clinical outcomes.

Objectives: Body composition changes with aging can increase rates of obesity, frailty and impact function. Measuring adiposity using body fat (%BF) or central adiposity using waist circumference (WC) have greater diagnostic accuracy than traditional measures such as body mass index (BMI)., Design: This is an observational study., Setting: This study focused on older community-dwelling participants., Participants: We identified individuals age ≥ 60 years old using the 1999-2004 cross-sectional National Health and Nutrition Survey (NHANES)., Intervention: The primary analysis evaluated the association between frailty and %BF or WC. Frailty was the primary predictor (robust=referent) and %BF and WC were considered continuous outcomes. Multiple imputation analyses accounted for missing characteristics., Measurement: Dual energy x-ray absorptiometry was used to assess %BF and WC was objectively measured. Frailty was defined using an adapted version of Fried's criteria that was self-reported: (low BMI<18.5kg/m2; slow walking speed [<0.8m/s]; weakness [unable to lift 10lbs]; exhaustion [difficulty walking between rooms on same floor] and low physical activity [compared to others]). Robust, pre-frail and frail persons met zero, 1 or 2, and ≥3 criteria, respectively., Results: Of the 4,984 participants, the mean age was 71.1±0.2 (SE) years and 56.5% were females. We classified 2,246 (50.4%), 2,195 (40.3%), and 541 (9.2%) individuals as robust, pre-frail and frail, respectively. Percent BF was 35.9±0.13, 38.3±0.20 and 40.0±0.46 in the robust, pre-frail and frail individuals, respectively. WC was 99.5±0.32 in the robust, 100.1±0.43 in pre-frail, 104.7±1.17 in frail individuals. Compared to robust individuals, only frail individuals had greater %BF on average (β=0.97±0.43,p=0.03); however, pre-frail and frail individuals had 2.18 and 4.80 greater WC, respectively (β=2.18±0.64,p=0.002, and β=4.80±1.1,p<0.001)., Conclusion: Our results demonstrate that in older adults, frailty and pre-frailty are associated with a greater likelihood of high WC (as dichotomized) and a greater average WC (continuous)., Competing Interests: There are no conflicts of interest pertaining to this manuscript

Objective: This study aimed to investigate the association between dietary inflammation, pre-frailty and frailty among older US adults. Additionally, effect modification of gender on the association between dietary inflammation and frailty was assessed., Design: Study data came from the National Health and Nutrition Examination Survey (2007-2014) - a nationally representative, cross-sectional study of adults., Participants: The analytic sample included adults ≥60 years (n=7,182)., Measurements: Dietary Inflammatory Index (DII®) scores were calculated from 24-hour dietary recalls; DII was categorized into quintiles from Quintile 1 (Q1) (least inflammatory) to Q5 (most inflammatory). Frailty was assessed by four criteria: exhaustion, weakness, low body mass, and low physical activity. Individuals were then categorized into robust (0 criteria), pre-frail (1-2 criteria), or frail (3-4 criteria). Multinomial logistic regression was used to examine the odds of frailty categories (pre-frail vs. robust; frail vs. robust)., Results: After adjusting for potential confounders, individuals in DII quintile 5 (vs Q1) were more likely to be pre-frail (OR = 1.71; 95% CI: 1.36-2.15) and frail (OR = 1.70; 95% CI: 1.02-2.85). Individuals in Q4 had greater odds of frailty only (OR = 1.82; 95% CI: 1.13, 2.93). No evidence of effect modification by gender on the association of DII and frailty was found., Conclusion: This study expands upon previous evidence of a relationship between dietary inflammation and frailty. When designing nutrition-based frailty interventions, inflammatory properties of diets should be considered., Competing Interests: None

Background: Hospitalizations and potentially inappropriate medication (PIM) use are significant and costly issues among older home health patients, yet little is known about the prevalence of PIM use in home health or the relationship between PIM use and hospitalization risk in this population., Objective: To describe the prevalence of PIM use and association with hospitalization among Medicare home health patients., Design: Cross-sectional analysis using data from 132 home health agencies in the US., Subjects: Medicare beneficiaries starting home health nursing services between 2013 and 2014 (n = 87,780)., Main Measures: Prevalence of individual and aggregate PIM use at start of care, measured using the 2012 Beers criteria. Relative risk (RR) of 30-day hospitalization or re-hospitalization associated with individual and aggregate PIM use, compared to no PIM use., Key Results: In total, 30,168 (34.4%) patients were using at least one PIM, with 5969 (6.8%) taking at least two PIMs according to the Beers list. The most common types of PIMs were those affecting the brain or spinal cord, analgesics, and medications with anticholinergic properties. With the exception of nonsteroidal anti-inflammatory drugs (NSAIDs), PIM use across all classes was associated with elevated risk (10-33%) of hospitalization compared to non-use. Adjusting for demographic and clinical characteristics, patients using at least one PIM (excluding NSAIDs) had a 13% greater risk (RR = 1.13, 95% CI: 1.09, 1.17) of being hospitalized than patients using no PIMs, while patients using at least two PIMs had 21% greater risk (RR = 1.21, 95% CI: 1.12, 1.30). Similar associations were found between PIMs and re-hospitalization risk among patients referred to home health from a hospital., Conclusions: Given the high prevalence of PIM use and the association between PIMs and hospitalization risk, home health episodes represent opportunities to substantially reduce PIM use among older adults and prevent adverse outcomes. Efforts to address medication use during home health episodes, hospitalizations, and care transitions are justified.

Background : Falls present a major challenge to active aging, but the relationship between neighborhood factors and falls is poorly understood. This study examined the relationship between fall events and neighborhood factors, including neighborhood social cohesion (sense of belonging, trust, friendliness, and helpfulness) and physical environment (vandalism/graffiti, rubbish, vacant/deserted houses, and perceived safety walking home at night). Methods : Data were analyzed from 9259 participants over four biennial waves (2006-2012) of the Health and Retirement Study (HRS), a nationally representative sample of adults aged 65 and older in the United States. Results : In models adjusting for demographic and health-related covariates, a one-unit increase in neighborhood social cohesion was associated with 4% lower odds of experiencing a single fall (odds ratio (OR): 0.96, 95% confidence interval (CI): 0.93-0.99) and 6% lower odds of experiencing multiple falls (OR: 0.94, 95% CI: 0.90-0.98). A one-unit increase in the physical environment scale was associated with 4% lower odds of experiencing a single fall (OR: 0.96, 95% CI: 0.93-0.99) and with 5% lower odds of experiencing multiple falls (OR: 0.95, 95% CI: 0.91-1.00) in adjusted models. Conclusions : The physical and social neighborhood environment may affect fall risk among community-dwelling older adults. Findings support the ongoing need for evidence-based fall prevention programming in community and clinical settings.

Objective: Resources and treatment for individuals with borderline personality disorder (BPD) are limited and often difficult to obtain. This article aimed to identify key resources for and barriers to obtaining supportive and treatment services for BPD from the perspective of individuals seeking information or services related to BPD ("BPD care seekers")., Methods: Data came from transcripts of resource requests to the Borderline Personality Disorder Resource Center from January 2008 to December 2015 (N=6,253). Basic statistics, including the type of service requested, demographic information for the BPD care seeker, and national distribution of requests, were generated for all eligible transcripts. Qualitative analysis of a random subset of 500 transcripts was used to identify themes, challenges, and common experiences reported by BPD care seekers., Results: The greatest number of requests for primary services or resources among the random subset of transcripts was for outpatient services (51%), informational materials (13%), and day programs (9%). Family services, crisis intervention, and mental health literacy were identified as areas where available resources did not meet current demand and that could be improved or expanded. Factors identified as potential barriers to finding and obtaining appropriate treatment for BPD included stigmatization and marginalization within mental health care systems, financial concerns, and comorbidity with psychiatric or medical disorders., Conclusions: BPD care seekers face numerous barriers to obtaining appropriate care. Expanded services and resources to connect individuals with treatment are needed to meet the current demands and preferences of those seeking care., Competing Interests: Dr. L has no potential conflicts of interest or financial interests to report. Dr. W. has no potential conflicts of interest or financial interests to report. Dr. Y. has no potential conflicts of interest or financial interests to report. Ms. C. has no potential conflicts of interest or financial interests to report. Dr. C. has no potential conflicts of interest or financial interests to report.

Objective: To estimate trajectories of body mass index (BMI) and determine their association with incident frailty in later life., Methods: Data come from the 2004 to 2012 waves of the Health and Retirement Study, a longitudinal survey of older adults. Analysis was restricted to respondents who were not frail at baseline (n = 10,827). BMI (kg/m(2) ) was calculated from self-reported weight and height. Incident frailty was assessed using the Frailty Index. Longitudinal growth mixture modeling was used to estimate the relationship between BMI trajectories and incident frailty over a 10-year period., Results: Four trajectory classes were identified: weight gain (n = 162 [1.4%], mean final BMI = 42 kg/m(2) ), weight loss (n = 171 [1.7%], mean final BMI = 25.0 kg/m(2) ), consistent obesity (n = 640 [6.8%], mean final BMI = 34.7 kg/m(2) ), and consistent overweight (n = 9,864 [90.1%] mean final BMI = 26.0 kg/m(2) ). Cumulative incidence of frailty was 19.9%. Relative to the consistent overweight class, the weight gain class had the highest likelihood of incident frailty (odds ratio, OR: 3.61, 95% confidence interval, CI: 2.39-5.46). The consistent obesity (OR: 2.72, 95% CI: 2.06-3.58) and weight loss (OR: 2.81, 95% CI: 1.84-4.30) classes had similarly elevated risk of frailty., Conclusions: Weight change and obesity are associated with risk of frailty., (© 2016 The Obesity Society.)