Effects of the First Year of the COVID-19 Pandemic on Utilization of Emergency Medical Services in Maryland.

BACKGROUND: The opioid epidemic in the United States has devastated the lives of individuals and imposed decades-long opportunity costs on the community. METHODS: We analyzed Emergency Medical Services (EMS) data from the Maryland Department of Health installation of the Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE) to assess the impact of COVID-19 on EMS call volume and how COVID-19 impacted patients' decisions whether to accept transport to a hospital following an EMS call. RESULTS: The rate of patients accepting transportation via EMS to a hospital emergency department (ED) declined for both opioid-related and non-opioid-related calls from prepandemic (before April 2020) to mid-pandemic (mid-March 2020 to mid-April 2020). The opioid-related call volume increased more from pre- to mid-pandemic for male patients than for female patients, and this "gender gap" had not returned to prepandemic levels by April 2021. CONCLUSION: Consistent with reports from other states, the pandemic worsened the opioid crisis in Maryland, impacting some populations more than others while also decreasing the likelihood that individuals experiencing an opioid-related overdose would seek further medical care following an EMS call.

Current Treatment Status and Treatment Seeking Time of Breast Cancer Patients during COVID-19 Pandemic in Bangladesh.

BACKGROUND: Rising incidence of cancer is a challenging form of seeking help to start treatment, especially in a pandemic situation. Treatment in due time may reduce the time interval of treatment-seeking, which influences the survival of breast cancer patients. The objective of this study was to determine the effect of the pandemic on treatment delays among breast cancer patients in Bangladesh. METHOD: A cross-sectional study was conducted from July 2020 to June 2021. A total of 200 samples were collected randomly from the out clinic department of the National Institute of Cancer Research and Hospital. A face-to-face interview was taken with a pretested semi-structured questionnaire. Patients were selected by histopathologically confirmed breast cancer and excluded by their metastasis history, treatment history, physical condition, and informed consent. RESULTS: Mean illness period was 16 months with patient delay was 4 months, provider delay was 7 months and total (treatment delay) was 11 months. Stage of cancer had 6 times chance to develop patient delay where OR of 6.234 at 95% CI (2.0, 19.23) and p-value 0.001, Stage of cancer had 4 times chance to develop provider delay where OR of 4.513 at 95% CI (1.35, 12.15) and p-value 0.012, to whom first seek help had 5 times chance to develop provider delay OR of 5.287 at 95% CI (2.58, 10.84) and p-value <0.0001. Provider delay was 2 times associated with a number of FNAC at 95% CI (1.13, 5.13) and a p-value of 0.023. Stage of cancer had 8 times chance to develop total delay where OR of 7.960, at 95% CI (3.20, 19.75) and p-value <0.0001, to whom first seek help had 4 times chance to develop total delay OR 3.860 at 95% CI (1.88, 7.95) and p-value <0.0001. CONCLUSION: Stage of cancer and first health care provider play a role in treatment-seeking, so, to improve treatment-seeking time, health education is needed to whom they go first, to where they go first.

Trajectories in allostatic load as predictors of sleep quality among urban adults: Healthy aging in neighborhoods of diversity across the life span study.

OBJECTIVE: /Background: The allostatic framework is a theoretical perspective that identifies allostatic load (AL) as a meaningful measure of dysregulation and desynchrony across biological processes due to cumulative stress exposure, thereby increasing disease risk. Research exploring the relationships of AL with sleep quality have yielded inconsistent findings. We examined AL at three visits (2004-2009 [Visit 1], 2009-2013 [Visit 2] and 2013-2017 [Visit 3]) in relation to sleep quality [Visit 3] among urban adults by sex, race and age group. PATIENTS/METHODS: We analyzed data on 1489 Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) participants [59.6% female, baseline age: 48.2 years, 58.5% African Americans] with available data on cardiovascular, metabolic and inflammatory AL markers and Pittsburgh Sleep Quality Index (PSQI) scores. Least squares regression models were constructed to evaluate AL score at Visit 1 (ALv1) and z-transformed probability of higher trajectory in AL score between Visit 1 and Visit 3 (ALtraj) as predictors of PSQI score at Visit 3, controlling for demographic, lifestyle and health characteristics at Visit 1. ALtraj was generated using group-based trajectory modeling. RESULTS: In fully adjusted models, ALv1 and PSQI score were positively related among men only (ß = 0.43, P = 0.001), whereas higher ALtraj was associated with PSQI score among women (ß = 0.51, P = 0.001), White (ß = 0.45, P = 0.011) and African American (ß = 0.33, P = 0.014) populations. There were no statistically significant interactions according to age group (<50 vs. ≥ 50). CONCLUSIONS: Disparities exist whereby AL trajectory predicted sleep quality among women irrespective of race and baseline AL predicted sleep quality among men. Future studies should examine bi-directional AL-sleep relationships.

Life's simple 7 and its association with trajectories in depressive symptoms among urban middle-aged adults.

BACKGROUND: The American Heart Association Life's Simple 7 (LS7) is a composite metric assessing cardiovascular health on a scale of 0-14 comprised of nutrition, physical activity, cigarette use, body mass index, blood pressure, cholesterol and glucose. METHODS: Using data from the Healthy Aging in Neighborhoods of Diversity across the Life Span study [n = 1465, Age at visit 1 (v1: 2004-2009): 30-66 y, 41.7 % male, 60.6 % African American], we investigated associations of trajectories in depressive symptoms (2004-2017) with Life's simple 7 scores after ∼8.6 years follow-up (2013-2017). Analyses used group-based zero-inflated Poisson trajectory (GBTM) models and multiple linear or ordinal logistic regression. GBTM analyses generated two classes of depressive symptoms trajectories ("low declining" and "high declining"), based on intercept and slope direction and significance. RESULTS: Overall, "high declining depressive symptoms" vs. the "low declining" group was associated with -0.67 ± 0.10 lower scores on LS7 total score (P < 0.001) in analyses adjusted for age, sex, race and the inverse mills ratio. This effect was markedly attenuated to -0.45 ± 0.10 score-points (P < 0.001) upon adjustment for socio-economic factors and to -0.27 ± 0.10 score-points (P < 0.010) in fully adjusted analyses, with a stronger association detected among women (ß ± SE: -0.45 ± 0.14, P = 0.002). An association between elevated depressive symptoms over time ("high declining" vs "low declining") and LS7 total score was detected among African American adults (ß ± SE: -0.281 ± 0.131, p = 0.031, full model). Moreover, the "high declining" vs. "low declining" depressive symptoms group was associated with a lower score on LS7 physical activity (ß ± SE: -0.494 ± 0.130, P < 0.001). CONCLUSIONS: Poorer cardiovascular health was linked to higher depressive symptoms over time.

Longitudinal association of allostatic load with depressive symptoms among urban adults: Healthy Aging in Neighborhoods of Diversity across the Life Span study.

BACKGROUND: Evidence suggests that lifetime exposure to stressful life events and chronic stressors may be linked to geriatric depression. Allostatic load (AL) is considered a mediator of the stress-health relationship and has been linked to psychosocial factors reflecting health disparities. The purpose of this study was to examine the longitudinal associations of AL with depressive symptoms scores among urban adults, before and after stratifying by sex and race. METHODS: Secondary analyses were performed using Visit 1 (2004-2009), Visit 2 (2009-2013) and Visit 3 (2013-2017) data collected on 2298 Healthy Aging in Neighborhoods of Diversity across the Life Span study participants (baseline age: 30-64 y). AL at Visit 1 (ALv1) and z-transformed probability of higher AL trajectory (ALtraj) between Visits 1 and 3 were calculated using cardiovascular, metabolic and inflammatory risk indicators. The 20-item Center for Epidemiologic Studies Depression (CES-D) scale was used to calculate total and domain-specific depressive symptoms scores. Mixed-effects linear models controlled for socio-demographic, lifestyle and health characteristics. RESULTS: In fully adjusted models, a positive cross-sectional relationship was observed between ALv1 and "somatic complaints" depressive symptoms (ß = 0.21, P = 0.006) score at Visit 1, whereas ALtraj was associated with increasing depressive symptoms score (ß = 0.086, P = 0.003) between Visits 1 and 3. An inverse relationship was observed between ALtraj and "positive affect" depressive symptoms score at Visit 1 among women (ß = -0.31, P < 0.0001) and White adults (ß = -0.32, P = 0.004). Among women, ALtraj was also positively related to change in "somatic complaints" depressive symptoms score between Visits 1 and 3 (ß = 0.043, P = 0.020). CONCLUSIONS: Among urban adults, AL may be associated with "somatic complaints" depressive symptoms at baseline. Higher AL trajectories may predict increasing depressive symptoms (overall) and increasing "somatic complaints" depressive symptoms (among women). A higher AL trajectory may be associated with lower "positive affect" depressive symptoms at baseline among women and White adults only.

Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006-2020 Health and Retirement Study.

BACKGROUND: The coronavirus disease 19 (COVID-19) was declared a global pandemic on 11 March 2020. To date, a limited number of studies have examined the impact of this pandemic on healthcare-seeking behaviors of older populations. This longitudinal study examined personal characteristics linked to COVID-19 outcomes as predictors of self-reported delayed healthcare services attributed to this pandemic, among U.S. adults, ≥50 years of age. METHODS: Secondary analyses were performed using cross-sectional data (1413 participants) and longitudinal data (2881 participants) from Health and Retirement Study (HRS) (2006-2018) linked to the 2020 HRS COVID-19 Project (57% female, mean age: 68 years). Demographic, socioeconomic, lifestyle and health characteristics were evaluated in relation to delayed overall, surgical and non-surgical healthcare services ("Since March 2020, was there any time when you needed medical or dental care, but delayed getting it, or did not get it at all?" and "What type of care did you delay") using logistic regression and Ensemble machine learning for cross-sectional data as well as mixed-effects logistic modeling for longitudinal data. RESULTS: Nearly 32.7% delayed healthcare services, 5.8% delayed surgical services and 31.4% delayed non-surgical services. Being female, having a college degree or higher and 1-unit increase in depression score were key predictors of delayed healthcare services. In fully adjusted logistic models, a history of 1 or 2 cardiovascular and/or metabolic conditions (vs. none) was associated with 60-70% greater odds of delays in non-surgical services, with distinct findings for histories of hypertension, cardiovascular disease, diabetes and stroke. Ensemble machine learning predicted surgical better than overall and non-surgical healthcare delays. CONCLUSION: Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.

Plasma neurofilament light and its association with all-cause mortality risk among urban middle-aged men and women.

BACKGROUND: Neurofilament light chain (NfL) is released into the blood during neuronal damage. NfL is linked to mortality in neurological disorders, remaining unexplored in population studies. We investigated whether initial (v1) and annualized change (δ) in plasma NfL can predict all-cause mortality in middle-aged dementia-free urban adults. METHODS: Longitudinal data were from 694 participants in the Healthy Aging in Neighborhoods of Diversity Across the Life Span study (HANDLS, mean agev1: 47.8 years, 42% male, 55.8% African American). Plasma NfL was measured prospectively at three visits. Analyses included Cox proportional hazards models for all-cause mortality risk and 4-way decomposition testing for interaction and mediation. RESULTS: Unlike men, women exhibited a direct association between δNfL (above vs. below median) and all-cause mortality risk in both the minimally (HR = 3.91, 95% CI 1.10-13.9, p = 0.036) and fully adjusted models (HR = 4.92, 95% CI 1.26-19.2, p = 0.022), and for δNfL (per unit increase) in the full model (HR = 1.65, 95% CI 1.04-2.61, p = 0.034). In both models, and among women, 1 standard deviation of NfLv1 was associated with an increased all-cause mortality risk (reduced model: HR = 2.01, 95% CI 1.24-3.25, p = 0.005; full model: HR = 1.75, 95% CI 1.02-2.98, p = 0.041). Only few interactions were detected for cardio-metabolic risk factors. Notably, NfLv1 was shown to be a better prognostic indicator at normal hsCRP values among women, while HbA1c and δNfL interacted synergistically to determine mortality risk, overall. CONCLUSIONS: These findings indicate that plasma NfL levels at baseline and over time can predict all-cause mortality in women and interacts with hsCRP and HbA1c to predict that risk.

Association of Serum Antioxidant Vitamins and Carotenoids With Incident Alzheimer Disease and All-Cause Dementia Among US Adults.

BACKGROUND AND OBJECTIVES: Serum antioxidant vitamins and carotenoids may protect against neurodegeneration with age. We examined associations of these nutritional biomarkers with incident all-cause and Alzheimer disease (AD) dementia among US middle-aged and older adults. METHODS: Using data from the third National Health and Nutrition Examination Surveys (1988-1994), linked with Centers for Medicare & Medicaid follow-up data, we tested associations and interactions of serum vitamins A, C, and E and total and individual serum carotenoids and interactions with incident AD and all-cause dementia. Cox proportional hazards regression models were conducted. RESULTS: After ≤26 years follow-up (mean 16-17 years, 7,283 participants aged 45-90 years at baseline), serum lutein+zeaxanthin was associated with reduced risk of all-cause dementia (65+ age group), even in the lifestyle-adjusted model (per SD: hazard ratio [HR] 0.93, 95% CI 0.87-0.99; p = 0.037), but attenuated in comparison with a socioeconomic status (SES)-adjusted model (HR 0.92, 95% CI 0.86-0.93; p = 0.013). An inverse relationship was detected between serum ß-cryptoxanthin (per SD increase) and all-cause dementia (45+ and 65+) for age- and sex-adjusted models (HR 0.86, 95% CI 0.80-0.93; p < 0.001 for 45+; HR 0.86, 95% CI 0.80-0.93; p = 0.001 for 65+), a relationship remaining strong in SES-adjusted models (HR 0.89, 95% CI 0.82-0.96; p = 0.006 for 45+; HR 0.88, 95% CI 0.81-0.96; p = 0.007 for 65+), but attenuated in subsequent models. Antagonistic interactions indicate putative protective effects of 1 carotenoid may be observed at lower levels other carotenoids or antioxidant vitamin. DISCUSSION: Incident all-cause dementia was inversely associated with serum lutein+zeaxanthin and ß-cryptoxanthin levels. Further studies with time-dependent exposures and randomized trials are needed to test neuroprotective effects of supplementing the diet with select carotenoids. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that incident all-cause dementia was inversely associated with serum lutein+zeaxanthin and ß-cryptoxanthin levels.

Predictors of Covid-19 level of concern among older adults from the health and retirement study.

The purpose of this longitudinal study is to construct a prediction model for Covid-19 level of concern using established Covid-19 socio-demographic, lifestyle and health risk characteristics and to examine specific contributions of obesity-related cardiometabolic health characteristics as predictors of Covid-19 level of concern among a representative sample of U.S. older adults. We performed secondary analyses of existing data on 2872 2006-2020 Health and Retirement Study participants and examined 19 characteristics in relation to the outcome of interest using logistic regression and machine learning algorithms. In mixed-effects ordinal logistic regression models, a history of diabetes, stroke as well as 1-2 cardiometabolic risk factors and/or chronic conditions were associated with greater Covid-19 level of concern, after controlling for confounders. Female sex, birth cohort, minority race, Hispanic ethnicity and total wealth as well as depressive symptoms were associated with higher level of Covid-19 concern, and education was associated with lower level of Covid-19 concern in fully adjusted mixed-effects ordinal logistic regression models. The selected socio-demographic, lifestyle and health characteristics accounted for < 70% of the variability in Covid-19 level of concern based on machine learning algorithms. Independent risk factors for Covid-19 level of concern among U.S. older adults include socio-demographic characteristics and depressive symptoms. Advanced research is needed to identify relevant predictors and elucidate underlying mechanisms of observed relationships.

Pathways explaining racial/ethnic disparities in incident all-cause and Alzheimer's disease dementia among older US men and women.

Introduction: Racial disparities in Alzheimer's disease (AD) and all-cause dementia (DEMENTIA) incidence may exist differentially among men and women, with unknown mechanisms. Methods: A retrospective cohort study examining all-cause and AD dementia incidence was conducted linking Third National Health and Nutrition Examination Survey (NHANES III) to Centers for Medicare & Medicaid Services Medicare data over ≤26 years of follow-up (1988 to 2014). Cox regression and generalized structural equation models (GSEMs) were constructed among men and women ≥60 years of age at baseline (N = 4592). Outcomes included onset ages of all-cause and AD dementia, whereas the main exposures were race/ethnicity contrasts (RACE_ETHN). Potential mediators) included socio-economic status (SES), lifestyle factors (dietary quality [DIET] nutritional biomarkers [NUTR], physical activity [PA], social support [SS], alcohol [ALCOHOL], poor health [or HEALTH], poor cognitive performance [or COGN]. In addition to RACE_ETHN, the following were exogenous covariates in the GSEM and potential confounders in Cox models: age, sex, urban-rural, household size, and marital status. Results: Non-Hispanic Black (NHB) women had a higher risk of DEMENTIA versus non-Hispanic White (NHW) women in GSEM, consistent with Cox models (age-adjusted model: hazard ratio [HR] = 1.34, 95% confidence interval [CI]: 1.10 to 1.61). The total effect of this RACE_ETHN contrast in women was explained by four main pathways: (1) RACE_ETHN→ poor cognitive performance (COGN, +) → DEMENTIA (+); (2) RACE_ETHN → SES (-) → COGN (-) → DEMENTIA (+); (3) RACE_ETHN → SES (-) → physical activity (PA, +) → COGN (-) → DEMENTIA (+); and (4) RACE_ETHN → SES (-) → DIET (+) → COGN (-) → DEMENTIA (+). A reduced AD risk in Mexican American (MA) women versus NHW women upon adjustment for SES and downstream factors (HR = 0.53, 95% CI: 0.35 to 0.80). For the non-White versus NHW contrast in incident DEMENTIA, pathways involved lower SES, directly increasing cognitive deficits (or indirectly through lifestyle factors), which then directly increases DEMENTIA . Discussion: Socioeconomic and lifestyle factors explaining disparities between NHB and NHW in dementia onset among women are important to consider for future observational and intervention studies.

Socio-demographic, lifestyle and health characteristics as predictors of self-reported Covid-19 history among older adults: 2006-2020 Health and Retirement Study.

BACKGROUND: To identify key socio-demographic, lifestyle, and health predictors of self-reported coronavirus disease 2019 (Covid-19) history, examine cardiometabolic health characteristics as predictors of self-reported Covid-19 history and compare groups with and without a history of Covid-19 on trajectories in cardiometabolic health and blood pressure measurements over time, among United States (U.S.) older adults. METHODS: Nationally representative longitudinal data on U.S. older adults from the 2006-2020 Health and Retirement Study were analyzed using logistic and mixed-effects logistic regression models. RESULTS: Based on logistic regression, number of household members (OR=1.26, 95% CI: 1.05, 1.52), depressive symptoms score (OR = 1.21, 95% CI: 1.04, 1.42) and number of cardiometabolic risk factors or chronic conditions ("1-2" vs "0") (OR = 0.27, 95% CI: 0.11, 0.67) were significant predictors of self-reported Covid-19 history. Based on mixed-effects logistic regression, several statistically significant predictors of Covid-19 history were identified, including female sex (OR = 3.06, 95% CI: 1.57, 5.96), other race (OR = 5.85, 95% CI: 2.37, 14.43), Hispanic ethnicity (OR = 2.66, 95% CI: 1.15, 6.17), number of household members (OR = 1.25, 95% CI: 1.10, 1.42), moderate-to-vigorous physical activity (1-4 times per month vs never) (OR = 0.38, 95% CI: 0.18, 0.78) and number of cardiometabolic risk factors or chronic conditions ("1-2" vs "0") (OR = 0.34, 95% CI: 0.19, 0.60). CONCLUSIONS: Number of household members, depressive symptoms and number of cardiometabolic risk factors or chronic conditions may be key predictors for self-reported Covid-19 history among U.S. older adults. In-depth analyses are needed to confirm preliminary findings.

COVID-19 Pandemic Impact on Trajectories in Cardiometabolic Health, Physical Activity, and Functioning Among Adults from the 2006-2020 Health and Retirement Study.

BACKGROUND: The aim of this study was to evaluate the impact of the COVID-19 pandemic on trajectories in cardiometabolic health, physical activity, and functioning among U.S. older adults, overall and according to selected baseline sociodemographic characteristics. METHODS: We performed secondary analyses using longitudinal data on 1,372 participants from the 2006-2020 Health and Retirement Study. Pre-post COVID-19 pandemic onset was examined in relation to body mass index (BMI), number of cardiometabolic risk factors and/or chronic conditions, physical activity, Activities of Daily Living (ADL), and Instrumental Activities of Daily Living (IADL) using mixed-effects regression models and group-based trajectory models. RESULTS: The COVID-19 pandemic was associated with significantly increased BMI (ß = 1.39, 95% confidence interval [CI]: 0.74, 2.03). Furthermore, the odds of having at least one cardiometabolic risk factor and/or chronic disease increased pre-post COVID-19 onset (odds ratio 1.16, 95% CI: 1.00, 1.36), whereas physical functioning worsened pre-post COVID-19 onset (ADL: ß = 1.11, 95% CI: 0.94, 1.28; IADL: ß = 0.59, 95% CI: 0.46, 0.73). The pre-post COVID-19 period (2018-2020) showed a stable group of trajectories, with low, medium and high levels of the selected health indicators. Health disparities according to sex, race/ethnicity, educational level, work status, and total wealth are highlighted. CONCLUSIONS: The COVID-19 pandemic onset appears to worsen cardiometabolic health and physical functioning among U.S. older adults, with clusters of individuals defined by selected sociodemographic characteristics experiencing distinct trajectories pre-post COVID-19 pandemic onset.

Determinants of Hepatitis B Virus (HBV) Infection Among University Students in Central Bangladesh.

This study aimed to determine the seroprevalence and determinants of hepatitis B virus (HBV) infection among university students in Bangladesh. This cross-sectional study was conducted among 614 students from five universities in central Bangladesh. Data were collected on demographic information, immunization history, medical and blood transfusion history through the face-to-face interview. Blood samples were collected and screened for anti-HBsAg using ELISA, HBsAg Rapid Test-cassette, and immune chromatographic test. The overall seroprevalence of HBV infection was 5.0%, and vaccination coverage was 19.2% among the participants. Students having a history of surgery (OR 11.004, 95% CI 3.211-37.707), blood transfusion (OR 5.651, 95% CI 0.965-33.068), being married (OR 4.776, 95% CI 1.508-15.127), and not being vaccinated (OR 9.825, 95% CI 1.130-85.367) were at higher risk of being infected by HBV. This study showed the endemicity of HBV infection among the Bangladeshi population. Marriage, surgical or blood transfusion history, not being vaccinated were the determinants of HBV infection within the study population. Public health initiatives for preventing HBV infection at the university levels should be envisaged.

Women in procedural leadership roles in cardiology: The Women In Local Leadership (WILL) observational study.

BACKGROUND: Although 50% of U.S. medical students are women, this percentage fails to translate to cardiology. Gender disparities are striking in interventional cardiology (IC) and electrophysiology (EP) and in leadership. Left atrial appendage closure with the WATCHMAN device, as a novel procedure, is a lens into inequities. OBJECTIVE: The purpose of this study was to identify the characteristics and prevalence of women (1) as early WATCHMAN implanters and (2) in related leadership. METHODS: Data were collected on WATCHMAN implanters and hospitals from January 2017 to December 2018. The gender of physicians in leadership positions was identified via survey as Director of IC, Director of EP, and Chief of Cardiology. The Firth logistic model controlling for covariates modeled the rare event of a woman implanter. RESULTS: Data were obtained for 100% of the cohort. Men comprised 97% of implanters (860/886). No differences in subspecialty or implants by gender were observed. There were 414 hospitals performing WATCHMAN: 24% academic, 97% urban, and most medium/large size (94%). EP made up 61% of implanters. Only 4.8% of hospitals had women in selected leadership roles. Women represented <1% of Directors of IC and only 2.6% of both Directors of EP and Chiefs of Cardiology. Hospitals with a woman in leadership had a 4 times greater odds of a woman implanter (odds ratio 4.24; 95% confidence interval 1.16-15.41; P = .028). CONCLUSION: Women are underrepresented in cardiology procedural subspecialties in the use of novel technology and in key leadership roles. There was a greater odds of women early implanters of WATCHMAN if a woman led locally. Increasing women in leadership may improve gender diversity through visibility of role models.

Associations between race, APOE genotype, cognition, and mortality among urban middle-aged white and African American adults.

We examined associations between cognition and mortality and how these relationships vary by race and Apolipoprotein E (APOE) genotype, in a longitudinal study of 2346 middle-aged White and African American adults (30-64 years at baseline) from the Healthy Aging in Neighborhoods of Diversity across the Life Span cohort study. Baseline cognition spanned global mental status, and several domains obtained using principal components analysis (PCA; PCA1: verbal memory/fluency; PCA2: attention/working memory; PCA3: executive function/visuo-spatial abilities). Cox regression models evaluated associations between cognition and all-cause and cardiovascular disease (CVD)-mortality. Interactions between cognition and APOE2 as well as APOE4 allelic dose were tested, and race was a key effect modifier. Higher APOE4 dose was associated with increased CVD-mortality (hazard ratio [HR] per allele = 1.37; 95% CI 1.01-1.86, p = 0.041); APOE2 dosage's association with CVD-mortality was non-significant (HR = 0.60; 95% CI 0.35-1.03, p = 0.065). Higher PCA3 was associated with lower all-cause (HR = 0.93; 95% CI 0.87-0.99, p = 0.030) and CVD (HR = 0.85; 95% CI 0.77-0.95, p = 0.001) mortality risks, the latter association being more pronounced among Whites. PCA2 interacted synergistically with APOE2 dosage, reducing risks for all-cause mortality (PCA2 × APOE2: - 0.33 ± 0.13, p = 0.010) and CVD mortality (PCA2 × APOE2: - 0.73 ± 0.31, p = 0.019). In conclusion, greater executive function/visuo-spatial abilities were associated with reduced CVD-specific mortality, particularly among Whites. Greater "attention/working memory" coupled with higher APOE2 dosage was linked with reduced all-cause and CVD mortality risks.

Race, APOE genotypes, and cognitive decline among middle-aged urban adults.

BACKGROUND: Associations of Apolipoprotein (APOE) ε2 or ε4 (APOE2 or APOE4) dosages with cognitive change may differ across racial groups. METHODS: Longitudinal data on 1770 middle-aged White and African American adults was compiled from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS 2004-2013) study. APOE2 and APOE4 dosages were the two main exposures, while v1 and annual rate of change in cognitive performance (between v1 and v2) on 11 test scores were the main outcomes of interest (v1: 2004-2009 and v2: 2009-2013). Mixed-effects linear regression models were conducted adjusting for socio-demographic, lifestyle, and health-related potential confounders. Race (African American vs. White) and sex within racial groups were main effect modifiers. RESULTS: Upon adjustment for multiple testing and potential confounders, APOE4 allelic dosage was associated with faster decline on a test of verbal memory among Whites only (CVLT-List A: γ12 = - 0.363 ± 0.137, p = 0.008), but not among African Americans. In contrast, among African American women, APOE4 dosage was linked to slower decline on a test of attention (BTA: γ12 = + 0.106 ± 0.035, p = 0.002), while no association was detected among African American men. APOE2 and APOE4 dosages showed inconsistent results in other domains of cognition overall and across racial groups that did not survive correction for multiple testing. CONCLUSIONS: In conclusion, APOE4 dosage was associated with faster decline on a test of verbal memory among Whites only, while exhibiting a potential protective effect among African American women in the domain of attention. Further longitudinal studies are needed to replicate our race and sex-specific findings.

Caregiver Status and Diet Quality in Community-Dwelling Adults.

OBJECTIVE: We investigated cross-sectional and longitudinal associations of diet quality with middle-aged caregiver status. METHODS: Caregiving in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (57.7% women, 62% African American (AA)) was measured at waves 3 (2009-2013) and 4 (2013-2017) (mean follow-up time 4.1 years). Diet quality was assessed by the Healthy Eating Index 2010 (HEI-2010) derived from two separate 24 h diet recalls. Multivariable ordinary least square regression was performed for cross-sectional analyses of the association of wave 4 caregiving with wave 4 HEI-2010. Wave 3 caregiving was examined both cross-sectionally and with annual rate of change in HEI using mixed-effects linear regression Models. Multivariable models were adjusted for age, sex, and poverty status. RESULTS: Cross-sectional analyses at wave 4 demonstrate an inverse association of frequent caregiving ("Daily or Weekly" vs. "Never") for grandchildren with HEI-2010 total score (i.e., lower diet quality) among Whites (ß = -2.83 ± 1.19, p = 0.03, Model 2) and AAs (ß = -1.84 ± 0.79, p = 0.02,). The "cross-sectional" analysis pertaining to grandchildren caregiving frequency suggested that frequent caregiving (i.e., "Daily or Weekly" vs. "Never" (ß = -2.90 ± 1.17, p = 0.04)) only among Whites was inversely related to HEI-2010 total score. Total HEI-2010 score was also related to caring (Model 1), for the elderly over "5 years vs. Never" among Whites (-7.31 ± 3.54, p = 0.04, Model 2). Longitudinally, we found slight potential improvement in diet quality over time ("Daily or Weekly" vs. Never by TIME interaction: +0.88 ± 0.38, p = 0.02) with frequent caregiving among Whites, but not so among AAs. CONCLUSIONS: Frequent caring for grandchildren had an inverse relationship with the diet quality of White and AA urban middle-aged caregivers, while caring for elderly was inversely linked to diet quality among Whites only. Longitudinal studies should address the paucity of research on caregivers' nutritional quality.

Red cell distribution width, anemia and their associations with white matter integrity among middle-aged urban adults.

Anemia (blood hemoglobin [Hb] <13 g/dL among males; <12 g/dL among females) and elevated red cell distribution width (RDW) are potential risk factors for reduced brain white matter integrity (WMI), reflected by lower fractional anisotropy or increased mean diffusivity. Cross-sectional data with exposure-outcome lag time was used, whereby hematological exposures (RDW and Hb) and covariates were compiled from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study with available visit 1 (v1; 2004-2009) and/or v2 (2009-2013) data; while diffusion tensor magnetic resonance imaging (dMRI) outcome data were collected at HANDLS SCAN visit (vscan: 2011-2015, n = 214, mean follow-up from v1 ±SD: 5.6 ± 1.8 year). Multivariable-adjusted linear regression analyses were conducted, overall, stratifying by sex, and further restricting to the nonanemic for RDW exposures in part of the analyses. Among males, RDW(v1) was linked with lower global mean fractional anisotropy (standardized effect size b = -0.30, p= 0.003, q < 0.05; basic model), an association only slightly attenuated with further covariate adjustment. Anemia was not a risk factor for poor WMI, independently of RDW. Ultimately, pending further longitudinal evidence, initial RDW appears to be associated with poorer WMI among males.

Corrigendum: Vitamin D, Folate, and Cobalamin Serum Concentrations Are Related to Brain Volume and White Matter Integrity in Urban Adults.

[This corrects the article DOI: 10.3389/fnagi.2020.00140.].

Red Cell Distribution Width, Anemia, and Brain Volumetric Outcomes Among Middle-Aged Adults.

BACKGROUND: Anemia and red cell distribution width (RDW) have been linked to poor cognitive performance, pending studies of underlying mechanisms. OBJECTIVE: We examined cross-sectional relationships of initial RDW status (v1), RDW change (δ), and anemia with brain structural magnetic resonance imaging (sMRI) markers, including global and cortical brain and hippocampal and white matter lesion (WML) volumes, 5-6 years later. METHODS: Data were used from three prospective visits within the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study with complete v1 (2004-2009) and v2 (2009-2013) exposures and ancillary sMRI data at vscan (2011-2015, n = 213, mean v1 to vscan time: 5.7 years). Multivariable-adjusted linear regression models were conducted, overall, by sex, by race, and within non-anemics, correcting for multiple testing with q-values. RESULTS: In minimally adjusted models (socio-demographics and follow-up time), anemiav1 and RDWv1 were consistently associated with smaller bilateral hippocampal volumes overall, and among females (q < 0.05), without significant sex differences. RDWv1 was related to smaller select regional cortical brain gray and white matter volumes in hematological measure-adjusted models; anemiav1 was associated with larger WML volumes only among whites. CONCLUSION: In summary, baseline anemia and RDW were consistently associated with smaller bilateral hippocampal volumes, particularly among females, while anemia was linked to larger WML volume among Whites. In hematological measure-adjusted models, baseline RDW was linked to smaller regional gray and white matter volumes. Pending studies with sMRI repeats, randomized controlled trials are needed, demonstrating associations of anemia and elevated RDW with reduced brain volumes and cognitive dysfunction.