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Troxel WM, Haas A, Ghosh-Dastidar B, Rosso AL, Hale L, Buman MP, Dubowitz T. Sustained impacts of neighborhood investments on sleep health over a 5-year period: Insights from a natural experiment in two urban neighborhoods in the United States. Sleep Health 2025:S2352-7218(25)00070-1. [PMID: 40263076 DOI: 10.1016/j.sleh.2025.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 03/13/2025] [Accepted: 03/24/2025] [Indexed: 04/24/2025]
Abstract
STUDY OBJECTIVES Neighborhood disinvestment is a downstream impact of structural racism, especially afflicting minoritized communities. Thus, neighborhood reinvestment may serve as a policy-level intervention to mitigate sleep and other health disparities. This study builds on previous work by leveraging a natural experimental design to evaluate the 5-year effects of neighborhood investments on residents' sleep. METHODS Data are from the PHRESH Zzz study, a natural experiment conducted in two low-income, predominantly Black American, urban neighborhoods in Pittsburgh, Pennsylvania, with a randomly selected cohort [n=567; mean age=54.8 (SD=14.8); 77.6% female; 96% Black]. Sleep duration, wakefulness after sleep onset, and sleep efficiency were assessed via actigraphy and sleep quality via survey in 2013, 2016, and 2018. All publicly funded neighborhood investments between 2013 and 2016 were recorded and geocoded to calculate the distance from each respondent's residence to the investment. The primary exposure variable was residents' proximity to neighborhood investments (<0.1 of a mile). RESULTS The overall pattern of results showed worsening sleep over time, regardless of exposure to investments. However, over the 5-year period, those who lived physically close to investments (<0.1 mile) experienced significantly smaller decreases in sleep efficiency and smaller increases in wakefulness after sleep onset, relative to those who lived farther away. CONCLUSIONS Previously, we found that living near a neighborhood investment improved sleep outcomes over a short-term period of 3years. Current results indicate that improvements were partially sustained over 5years. Findings have implications for policy initiatives targeting upstream, structural determinants of sleep health disparities.
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Affiliation(s)
- Wendy M Troxel
- Division of Social and Economic Well-Being, RAND, Pittsburgh, Pennsylvania, United States.
| | - Ann Haas
- Division of Social and Economic Well-Being, RAND, Pittsburgh, Pennsylvania, United States
| | | | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Lauren Hale
- Stony Brook University, Department of Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook, New York, United States
| | - Matthew P Buman
- Arizona State University, College of Health Solutions, Phoenix, Arizona, United States
| | - Tamara Dubowitz
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
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Beydoun MA, Beydoun HA, Georgescu MF, Tate R, Hossain S, Vieytes CAM, Gamaldo AA, Evans MK, Zonderman AB. Sleep patterns, global mental status and mortality risk among middle-aged urban adults. J Alzheimers Dis 2024; 102:1155-1171. [PMID: 39610286 DOI: 10.1177/13872877241297111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
BACKGROUND Sleep, cognition, and mortality may be interdependent. OBJECTIVE We explored paths between sleep, cognition and mortality and potential interactions. METHODS The study examines the relationship among sleep, global mental status, and mortality risk using data from 1364 participants from the Healthy Aging in Neighborhood of Diversity across the Life Span (HANDLS) study. We used Cox proportional hazards models and four-way decomposition models to analyze sleep patterns and global mental status. RESULTS After a median time at risk of 8.2 years, 172 deaths occurred, with rate of 16 per 1000 person-years. A 1-unit increase in the Pittsburgh Sleep Quality Index (PSQI) global score was linked to a 7% increase in mortality risk in the reduced model, but this effect was attenuated in the full model. In both reduced and fully adjusted models, the PSQI global score and sleep quality domains interacted with global mental status, with poor sleep generally associated with mortality risk in the group with better global mental status at first-visit. In four-way decomposition models, total effects (TE) of PSQI scores on mortality risk were positive and statistically significant, while being mostly controlled direct effects. However, among women, the inverse TE of global mental status on mortality risk was partially mediated by PSQI sleep latency and the PSQI global. CONCLUSIONS Poor global mental status is associated with greater mortality risk at better sleep quality levels and vice versa. Further longitudinal studies with multiple sleep and cognitive performance repeats are needed to corroborate these findings.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Hind A Beydoun
- VA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC, USA
- Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Michael F Georgescu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Rio Tate
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Sharmin Hossain
- Department of Human Services (DHS), State of Maryland, Baltimore, MD, USA
| | - Christian A Maino Vieytes
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | | | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
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Hokett E, Lao P, Avila-Rieger J, Turney IC, Adkins-Jackson PB, Johnson DA, Davidson P, Chen R, Shechter A, Osorio RS, Brickman AM, Palta P, Manly JJ. Interactions among neighborhood conditions, sleep quality, and episodic memory across the adult lifespan. ETHNICITY & HEALTH 2024; 29:809-827. [PMID: 39044310 PMCID: PMC11410512 DOI: 10.1080/13557858.2024.2379116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
OBJECTIVES On average, adults racialized as non-Hispanic Black and Hispanic sleep more poorly than adults racialized as non-Hispanic White (hereafter, Black, Hispanic, White), but associations between factors that may moderate sleep-memory associations in these groups, such as neighborhood conditions, are unclear. Poorer neighborhood conditions (e.g. lower neighborhood cohesion) may be negatively associated with sleep quality and multiplicatively influence sleep-memory associations. We hypothesized lower ratings of neighborhood conditions would be associated with poorer sleep quality and moderate the association between sleep quality and episodic memory, especially in Black and Hispanic adults, who are disproportionately situated in poor neighborhood conditions. DESIGN Seven-hundred-thirty-six adults across the adult lifespan (27-89 years) were recruited from the northern Manhattan community as a part of the Offspring Study of Racial and Ethnic Disparities in Alzheimer's disease. Sleep quality was assessed using a modified version of the Pittsburgh Sleep Quality Index, and episodic memory was evaluated with the Buschke Selective Reminding Test. With multiple regression models, we measured associations between perceived neighborhood conditions and sleep quality and the interaction between sleep quality and neighborhood conditions on episodic memory stratified by racial/ethnic and gender identity groups. RESULTS Overall, poorer neighborhood conditions were associated with poorer sleep quality. In Black and Hispanic women, the sleep-memory association was moderated by neighborhood conditions. With more favorable neighborhood conditions, Black women showed an association between higher sleep quality and higher memory performance, and Hispanic women showed a protective effect of neighborhood (higher memory even when sleep quality was poor). CONCLUSION Poorer neighborhood experiences may contribute to poorer sleep quality across groups. In Black and Hispanic women, the association between sleep quality and episodic memory performance was dependent upon neighborhood conditions. These findings may inform tailored, structural level sleep interventions, aimed to improve neighborhood experiences and thereby sleep quality and episodic memory.
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Affiliation(s)
- Emily Hokett
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Patrick Lao
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Justina Avila-Rieger
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Indira C. Turney
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | | | | | - Per Davidson
- Department of Psychology, Kristianstad University
| | - Ruijia Chen
- Department of Epidemiology, Boston University
| | | | | | - Adam M. Brickman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Priya Palta
- Department of Neurology, University of North Carolina, Chapel Hill
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
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Li J, Liu PP, Wang Y, Ren CY, Zhang M. Lectin YKL-40 Level and Telomere Length are Indicators of Insomnia Disorder. J Integr Neurosci 2024; 23:180. [PMID: 39344239 DOI: 10.31083/j.jin2309180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 10/01/2024] Open
Abstract
OBJECTIVE To explore the relationship between YKL-40 level, telomere length, and different subtypes of insomnia disorder. METHODS A total of 145 individuals suffering from insomnia were enrolled and divided into four groups according to the insomniac subtypes: difficulty initiating sleep, early morning awakening, difficulty maintaining sleep, and mixed symptoms. Eighty healthy controls were also collected at the same time. Peripheral leukocyte genomic DNA was extracted, relative telomere lengths were measured using the real-time quantitative polymerase chain reaction method, and YKL-40 levels were determined using enzyme-linked immunoassay. Logistic regression modeling was used to analyze the correlation between different insomnia subtypes, YKL-40 level, and telomere length. RESULTS People with telomere lengths in the lowest tertile were more likely to have trouble falling asleep (odds ratio (OR) 2.13, 95% confidence interval (CI) 1.22-3.63; p = 0.03) and had a higher frequency of mixed symptoms (OR 1.49, 95% CI 1.30-2.81; p = 0.04). People in the highest tertile of YKL-40 level had an increased chance of waking up early (OR 2.98, 95% CI 1.54-5.33; p = 0.01) and more mixed symptoms (OR 1.47, 95% CI 1.22-2.79; p = 0.02). Furthermore, using receiver operating characteristic curve analysis, the area under the curve of YKL-40 level and telomere length was 0.806 and 0.746, respectively. CONCLUSIONS Telomere length in patients with difficulty initiating sleep and mixed symptoms was significantly shortened and the level of YKL-40 in people who have early morning awakening and mixed symptoms was significantly increased. Our findings provide the first evidence that leukocyte telomere length and YKL-40 level are individually linked to mixed symptoms.
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Affiliation(s)
- Jing Li
- Department of Neurology, The First Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), 232000 Huainan, Anhui, China
| | - Pei-Pei Liu
- Department of Neurology, Fu Yang Fifth People's Hospital, 236000 Fuyang, Anhui, China
| | - Yan Wang
- Department of Neurology, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 230000 Hefei, Anhui, China
| | - Chong-Yang Ren
- Department of General Medicine, The First Affiliated Hospital of Anhui Medical University, 230000 Hefei, Anhui, China
| | - Mei Zhang
- Department of Neurology, The First Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), 232000 Huainan, Anhui, China
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Troxel WM, Dubowitz T, Haas A, Ghosh-Dastidar B, Butters MA, Gary-Webb TL, Weinstein AM, Ibeanu A, Wagner L, Gildengers A, Rosso AL. A Preliminary Analysis of Stress Burden and Cognitive Function and Clinically Adjudicated Cognitive Outcomes in Black American Adults. J Gerontol A Biol Sci Med Sci 2024; 79:glae177. [PMID: 39021075 PMCID: PMC11329620 DOI: 10.1093/gerona/glae177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND The combination of exposure to multiple stressors and psychological distress may contribute to the disproportionate burden of dementia risk among Black Americans. This study estimates the effect of an index of stress and psychological distress (ie, "stress burden") on cognitive function and clinically adjudicated cognitive outcomes among older Black American adults, and examines sleep as a mediator. METHODS The sample included 204 Black adults (79% female; mean age = 64 years) from Pittsburgh, PA, USA. Stress burden comprised 3 self-reported stress and distress measures assessed in 2016: discrimination, psychological distress, and posttraumatic stress. Potential mediators included actigraphy-assessed sleep duration and efficiency from 2018. Cognitive battery and clinical adjudication in 2019 assessed cognitive function and clinically adjudicated outcomes. Causal mediation analysis estimated the direct effect between stress burden and cognitive outcomes, and indirect effects through sleep, after adjusting for sociodemographics and hypertension. RESULTS Higher stress burden had a significant direct effect on lower executive functioning and visuospatial performance. However, there were no significant indirect effects (ie, mediation) by sleep disturbances on any domain of cognitive function assessed. Also, there were no significant direct or indirect effects on clinically adjudicated outcomes. CONCLUSIONS Multiple stressors often co-occur and may contribute to racial disparities in cognitive health. Findings suggest that higher stress burden had negative effects on functioning in executive and visuospatial domains in this community-based sample of older Black American adults. However, there was no evidence of mediation by sleep. Findings highlight the importance of continued work to identify modifiable pathways between stress burden and cognitive health disparities.
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Affiliation(s)
- Wendy M Troxel
- Division of Social and Economic Well-Being, RAND Corporation, Pittsburgh, Pennsylvania, USA
| | - Tamara Dubowitz
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ann Haas
- Division of Social and Economic Well-Being, RAND Corporation, Pittsburgh, Pennsylvania, USA
| | - Bonnie Ghosh-Dastidar
- Division of Economics and Sociology, RAND Corporation, Santa Monica, California, USA
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Tiffany L Gary-Webb
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Andrea M Weinstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Ada Ibeanu
- Division of Social and Economic Well-Being, RAND Corporation, Pittsburgh, Pennsylvania, USA
| | | | - Ariel Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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6
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Cook JD, Malik A, Plante DT, Norton D, Langhough Koscik R, Du L, Bendlin BB, Kirmess KM, Holubasch MS, Meyer MR, Venkatesh V, West T, Verghese PB, Yarasheski KE, Thomas KV, Carlsson CM, Asthana S, Johnson SC, Gleason CE, Zuelsdorff M. Associations of sleep duration and daytime sleepiness with plasma amyloid beta and cognitive performance in cognitively unimpaired, middle-aged and older African Americans. Sleep 2024; 47:zsad302. [PMID: 38011629 PMCID: PMC10782500 DOI: 10.1093/sleep/zsad302] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 09/01/2023] [Indexed: 11/29/2023] Open
Abstract
STUDY OBJECTIVES Given the established racial disparities in both sleep health and dementia risk for African American populations, we assess cross-sectional and longitudinal associations of self-report sleep duration (SRSD) and daytime sleepiness with plasma amyloid beta (Aβ) and cognition in an African American (AA) cohort. METHODS In a cognitively unimpaired sample drawn from the African Americans Fighting Alzheimer's in Midlife (AA-FAiM) study, data on SRSD, Epworth Sleepiness Scale, demographics, and cognitive performance were analyzed. Aβ40, Aβ42, and the Aβ42/40 ratio were quantified from plasma samples. Cross-sectional analyses explored associations between baseline predictors and outcome measures. Linear mixed-effect regression models estimated associations of SRSD and daytime sleepiness with plasma Aβ and cognitive performance levels and change over time. RESULTS One hundred and forty-seven participants comprised the cross-sectional sample. Baseline age was 63.2 ± 8.51 years. 69.6% self-identified as female. SRSD was 6.4 ± 1.1 hours and 22.4% reported excessive daytime sleepiness. The longitudinal dataset included 57 participants. In fully adjusted models, neither SRSD nor daytime sleepiness is associated with cross-sectional or longitudinal Aβ. Associations with level and trajectory of cognitive test performance varied by measure of sleep health. CONCLUSIONS SRSD was below National Sleep Foundation recommendations and daytime sleepiness was prevalent in this cohort. In the absence of observed associations with plasma Aβ, poorer self-reported sleep health broadly predicted poorer cognitive function but not accelerated decline. Future research is necessary to understand and address modifiable sleep mechanisms as they relate to cognitive aging in AA at disproportionate risk for dementia. CLINICAL TRIAL INFORMATION Not applicable.
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Affiliation(s)
- Jesse D Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
| | - Ammara Malik
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
| | - David T Plante
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Derek Norton
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca Langhough Koscik
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Lianlian Du
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | | | | | | | | | - Tim West
- C2N Diagnostics, St. Louis, MO, USA
| | | | | | - Kevin V Thomas
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M Carlsson
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sanjay Asthana
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Carey E Gleason
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- School of Nursing, University of Wisconsin-Madison, Madison, WI, USA
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Dark HE, Huang A, Cordon J, Deal JA, Palta P, Windham BG, Barnes LL, Kucharska-Newton A, Mosley T, Gottesman RF, Sims M, Griswold M, Rentería MA, Manly JJ, Walker KA. The association of perceived discrimination with dementia risk in Black older adults. Alzheimers Dement 2023; 19:4346-4356. [PMID: 37218405 PMCID: PMC10734390 DOI: 10.1002/alz.13135] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION Non-Hispanic Black, compared to non-Hispanic White, older adults are at increased risk for dementia. This may be due partly to greater exposure to psychosocial stressors, such as discrimination; however, few studies have examined this association. METHODS We examined the association of perceived discrimination (e.g., everyday, lifetime, and discrimination burden) with dementia risk in 1583 Black adults co-enrolled in the Atherosclerosis Risk in Communities (ARIC) Study and the Jackson Heart Study (JHS). Perceived discrimination (defined continuously and using tertiles) was assessed at JHS Exam 1 (2000-2004; mean age ± SD:66.2 ± 5.5) and related to dementia risk through ARIC visit 6 (2017) using covariate-adjusted Cox proportional hazards models. RESULTS Associations of perceived everyday, lifetime, and burden of discrimination with dementia risk were not supported in age-adjusted models or demographic- and cardiovascular health-adjusted models. Results were similar across sex, income, and education. DISCUSSION In this sample, associations between perceived discrimination and dementia risk were not supported. HIGHLIGHTS In Black older adults perceived discrimination not associated with dementia risk. Younger age and greater education linked to greater perceived discrimination. Older age and less education among factors associated with dementia risk. Factors increasing exposure to discrimination (education) are also neuroprotective.
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Affiliation(s)
- Heather E. Dark
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, 21224
| | - Alison Huang
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Cochlear Center for Hearing & Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, 21205, USA
| | - Jenifer Cordon
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, 21224
| | - Jennifer A. Deal
- Cochlear Center for Hearing & Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, 21205, USA
| | - Priya Palta
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Epidemiology, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - B. Gwen Windham
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Lisa L. Barnes
- Department of Neurological Sciences at Rush University Medical Center, Chicago, IL, 60612, USA
- Rush Alzheimer’s Disease Center at Rush University Medical Center, Chicago, IL, 60612, USA
| | - Anna Kucharska-Newton
- University of North Carolina, Gillings School of Global Public Health, Chapel Hill, NC, 27599, USA
| | - Thomas Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Program, NIH, Bethesda, MD, 20892, USA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Michael Griswold
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Miguel Arce Rentería
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Jennifer J. Manly
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Keenan A. Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, 21224
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8
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Rosso AL, Troxel WM, Gary-Webb TL, Weinstein AM, Butters MA, Palimaru A, Ghosh-Dastidar B, Wagner L, Nugroho A, Hunter G, Parker J, Dubowitz T. Design of the think PHRESH longitudinal cohort study: Neighborhood disadvantage, cognitive aging, and alzheimer's disease risk in disinvested, black neighborhoods. BMC Public Health 2023; 23:636. [PMID: 37013498 PMCID: PMC10069058 DOI: 10.1186/s12889-023-15381-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/06/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Black Americans have disproportionately higher rates and earlier onset of Alzheimer's disease and related dementias (ADRD) relative to White Americans. We currently lack a comprehensive understanding of how the lived experience and broader societal factors, including cumulative exposure to structural racism and the mechanisms underlying the risks, may contribute to elevated ADRD risk in Black Americans. METHODS The Think PHRESH study builds on existing, community-based research infrastructure, from the ongoing Pittsburgh Hill/Homewood Research on Neighborhood Change and Health (PHRESH) studies, to examine the contributions of dynamic neighborhood socioeconomic conditions across the lifecourse to cognitive outcomes in mid- and late-life adults living in two historically disinvested, predominantly Black communities (anticipated n = 1133). This longitudinal, mixed-methods study rests on the premise that neighborhood racial segregation and subsequent disinvestment contributes to poor cognitive outcomes via factors including (a) low access to educational opportunities and (b) high exposure to race- and socioeconomically-relevant stressors, such as discrimination, trauma, and adverse childhood events. In turn, these cumulative exposures foster psychological vigilance in residents, leading to cardiometabolic dysregulation and sleep disruption, which may mediate associations between neighborhood disadvantage and ADRD risk. This premise recognizes the importance of potential protective factors that may promote cognitive health, including neighborhood social cohesion, safety, and satisfaction. The proposed study will leverage our existing longitudinal data on risk/protective factors and biobehavioral mediators and will include: (1) up to three waves of cognitive assessments in participants ages 50 years + and one assessment in participants ages 35-49 years; clinical adjudication of ADRD will be completed in participants who are 50+, (2) extensive surveys of risk and protective factors, (3) two assessments of blood pressure and objectively measured sleep, (4) a comprehensive assessment of life and residential history; and (5) two rounds of in-depth qualitative interviews to reveal lifecourse opportunities and barriers experienced by Black Americans in achieving optimal cognitive health in late life. DISCUSSION Understanding how structural racism has influenced the lived experience of Black Americans, including dynamic changes in neighborhood conditions over time, is critical to inform multi-level intervention and policy efforts to reduce pervasive racial and socioeconomic disparities in ADRD.
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Affiliation(s)
- Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, US.
| | - Wendy M Troxel
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | - Tiffany L Gary-Webb
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, US
| | | | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, US
| | - Alina Palimaru
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | | | - La'Vette Wagner
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | - Alvin Nugroho
- Survey Research Group, RAND Corporation, Santa Monica, US
| | - Gerald Hunter
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | | | - Tamara Dubowitz
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
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Gao F, Wei S, Dang L, Gao Y, Gao L, Shang S, Chen C, Huo K, Wang J, Wang J, Qu Q. Sleep disturbance is associated with mild cognitive impairment: a community population-based cross-sectional study. BMC Public Health 2022; 22:2000. [PMID: 36320021 PMCID: PMC9624002 DOI: 10.1186/s12889-022-14391-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 10/02/2022] [Accepted: 10/19/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Sleep is conducive to the elimination of brain metabolites and the recovery of brain function. However, the relationship between sleep disturbance and Mild Cognitive Impairment is not fully been determined. METHODS This was a community population-based cross-sectional study. A total of 1,443 participants from a village in the suburbs of Xi'an, China were enrolled in 2017. Sleep quality was evaluated using the Pittsburgh sleep quality index (PSQI), and sleep disturbance was defined as a PSQI score > 5. Mini-Mental State Examination (MMSE) was used to assess cognitive function and Mild Cognitive Impairment(MCI) was defined as the MMSE score less than cutoff values and meets the diagnostic criteria. Univariate and multivariate analyses were used to analyze the relationships between sleep disturbance and MCI. RESULTS Among 1,443 subjects, 69(4.78%) had MCI, and 830 (57.52%) had sleep disturbance. In bivariate analysis, MCI was associated with sleep disturbance (ρ = 0.094, P<0.001). In the binary logistic regression, MCI was positively associated with the sleep disturbance (OR = 2.027, 95%CI = 1.112-3.698, P = 0.021). In the internal constitution of PSQI, MCI was negatively associated with the habitual sleep efficiency (OR = 0.447, 95%CI = 0.299-0.669, P < 0.001). Compared with waking up before or at 7 am, waking up after 7 am (OR = 0.555, 95%CI = 0.309-0.995, P = 0.048), or 8 am (OR = 0.296, 95%CI = 0.097-0.902, P = 0.032) was probably more likely to have normal cognition. However, people who slept more than 8 h a day might be more likely to suffer from MCI (OR = 5.560, 95%CI = 1.419-21.789, P = 0.014). CONCLUSION Sleep disturbance is associated with Mild Cognitive Impairment. However, the causal relationship between them is not clear. It needs to be further studied.
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Affiliation(s)
- Fan Gao
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Shan Wei
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Liangjun Dang
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Yao Gao
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Ling Gao
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Suhang Shang
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Chen Chen
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Kang Huo
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Jingyi Wang
- Huyi Hospital of Traditional Chinese Medicine, Xi’an, China
| | - Jin Wang
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
| | - Qiumin Qu
- grid.452438.c0000 0004 1760 8119Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 West Yanta Rd, 710061 Xi’an, China
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