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Rodriguez FS, Röhr S, Dragano N, Schmidt B, Becher H, Schikowski T, Gastell S, Harth V, Hoven H, Linseisen J, Greiser KH, Leitzmann M, Bohmann P, Castell S, Heise JK, Krist L, Keil T, Karch A, Teismann H, Moreno Velásquez I, Pischon T, Peters A, Führer A, Mikolajczyk R, Günther K, Brand T, Meinke-Franze C, Schipf S, Grabe HJ, Brenner H, Koch-Gallenkamp L, Berger K, Wagner M, Katzke V, Lieb W, Pabst A, Riedel-Heller SG. Low income, being without employment, and living alone: how they are associated with cognitive functioning-Results from the German national cohort (NAKO). NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2024:1-16. [PMID: 39688104 DOI: 10.1080/13825585.2024.2438825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 12/02/2024] [Indexed: 12/18/2024]
Abstract
Aim was to investigate to what extent cognitive functioning differs by three socioeconomic conditions: low income, being without employment, and living alone. A total of N = 158,144 participants of the population-based German National Cohort (NAKO) provided data on socioeconomic conditions and completed cognitive tests. Multivariable confounder-adjusted regression analyses indicated that cognitive functioning was lower in those with low income (b = -0.21) compared to not having low income, living alone (b = -0.04) compared to not living alone, and being without employment (b = -0.09) compared to being employed. An interaction with age indicated that the difference in cognitive functioning was getting larger with age between the income groups and living alone status groups. Accordingly, the three conditions appear independently associated with poorer cognitive functioning. Pathways of how cognitive health in this population group can be improved need to be explored.
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Affiliation(s)
- Francisca S Rodriguez
- RG Psychosocial Epidemiology & Public Health, German Center for Neurodegenerative Diseases (DZNE), Greifswald, Germany
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Susanne Röhr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
- School of Psychology, Massey University, Auckland, Aotearoa New Zealand
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Nico Dragano
- Institute of Medical Sociology, Centre for Health and Society, University Hospital and Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, Essen, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition, NAKO Study Center, Potsdam-Rehbruecke, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Hanno Hoven
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Jakob Linseisen
- Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Karina Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Patricia Bohmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Jana-Kristin Heise
- Department of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economic, Charité - Universitätsmedizin, Berlin, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economic, Charité - Universitätsmedizin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ilais Moreno Velásquez
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Tobias Pischon
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, München, Germany
- German Center for Mental Health (DZPG), Munich, Germany
| | - Amand Führer
- Institute of Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Halle, Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Halle, Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Halle, Germany
| | - Kathrin Günther
- Leibniz-Institut für Präventionsforschung und Epidemiologie, Bremen, Germany
| | - Tilman Brand
- Leibniz-Institut für Präventionsforschung und Epidemiologie, Bremen, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Sabine Schipf
- Institute for Community Medicine, Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- RG Psychosocial Epidemiology & Public Health, German Center for Neurodegenerative Diseases (DZNE), Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lena Koch-Gallenkamp
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- Neuropsychology, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Verena Katzke
- AG Ernährungsepidemiologie, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
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Yun JS, Han K, Kim B, Ko SH, Kwon HS, Ahn YB, Park YMM, Lee SH. All-cause and cause-specific mortality risks in individuals with diabetes living alone: A large-scale population-based cohort study. Diabetes Res Clin Pract 2024; 217:111876. [PMID: 39343144 DOI: 10.1016/j.diabres.2024.111876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 09/02/2024] [Accepted: 09/26/2024] [Indexed: 10/01/2024]
Abstract
AIMS The rise in one-person households is a global trend. We aimed to investigate mortality risk in individuals with diabetes living alone (IDLA) using a large-scale population-based database. METHODS A total of 2,447,557 adults with type 2 diabetes were identified from the Korean National Health Information Database. One-person households were defined based on the number of registered family members. The risks of all-cause and cause-specific mortalities were estimated using a multivariable Cox proportional hazards regression model. RESULTS During a median follow-up period of 6.0 years, 191,084 deaths (7.8 %) occurred. IDLA had a higher risk of mortality compared to those not living alone after adjusting for potential confounders (HR 1.20, 95 % CI: 1.18-1.22). This association was more prominent in younger individuals, men, and those with low income, and it was dependent on the duration of living alone. The risks of cause-specific mortality were all significantly higher in the IDLA group compared with the non-IDLA group. Adherence to favorable lifestyle behaviors was associated with a significant reduction in all-cause mortality, particularly in IDLA. CONCLUSIONS The elevated risk of mortality in IDLA highlights the need for tailored medical interventions and social assistance, particularly for those with unhealthy lifestyles or low income.
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Affiliation(s)
- Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Bongseong Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyuk-Sang Kwon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yu-Bae Ahn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong-Moon Mark Park
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Seung-Hwan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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Pomeroy ML, Umoh M, Qian Y, Gimm G, Ornstein KA, Cudjoe TKM. Social Isolation and Hospitalization in Community-Dwelling Older Adults by Dementia Status. J Gerontol A Biol Sci Med Sci 2024; 79:glae224. [PMID: 39275949 PMCID: PMC11525541 DOI: 10.1093/gerona/glae224] [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: 03/19/2024] [Indexed: 09/16/2024] Open
Abstract
BACKGROUND Social isolation is a well-known risk factor for poor health outcomes, including incident dementia, yet its associations with outcomes among persons living with dementia are understudied. We examined the association between social isolation and hospitalization among a nationally representative sample of older adults with and without dementia. METHODS This observational cohort study included 5 533 community-dwelling Medicare beneficiaries from the 2015 and 2016 National Health and Aging Trends Study (NHATS). Using multivariable logistic regression analyses, we examined associations between social isolation and hospitalization in the following year, examining differences by dementia status. Social isolation was measured using a 4-item typology. Dementia was identified using a prespecified classification in NHATS. RESULTS 20.7% of older adults were socially isolated. Social isolation was more prevalent among persons with dementia (35.4%) than among those without dementia (19.0%) (p < .001). Among persons with dementia, social isolation was associated with 1.68 greater odds of hospitalization (confidence interval [CI]: 1.23-2.28), translating into a 9% average increase in the predicted probability of hospitalization for persons with dementia who were socially isolated compared to those who were not (p = .001). In the combined sample that included persons with and without dementia, there was a significant moderation effect of dementia on the association between social isolation and hospitalization (odds ratio: 1.70; CI: 1.19-2.43). CONCLUSIONS For persons with dementia, social isolation is prevalent and associated with greater odds of subsequent hospitalization. Efforts to reduce acute healthcare utilization should explore ways to bolster social connection to improve health outcomes among persons with dementia.
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Affiliation(s)
- Mary Louise Pomeroy
- Center for Equity in Aging, School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Health Policy and Management, Roger and Flo Lipitz Center to Advance Policy in Aging and Disability, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Mfon Umoh
- Department of Health Policy and Management, Roger and Flo Lipitz Center to Advance Policy in Aging and Disability, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Yiqing Qian
- Center for Equity in Aging, School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
| | - Gilbert Gimm
- Department of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, Virginia, USA
| | - Katherine A Ornstein
- Center for Equity in Aging, School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Health Policy and Management, Roger and Flo Lipitz Center to Advance Policy in Aging and Disability, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Thomas K M Cudjoe
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Dauphinot V, Laurent M, Prodel M, Civet A, Vainchtock A, Moutet C, Krolak-Salmon P, Garnier-Crussard A. Identification of profiles associated with conversions between the Alzheimer's disease stages, using a machine learning approach. Alzheimers Res Ther 2024; 16:166. [PMID: 39061107 PMCID: PMC11282744 DOI: 10.1186/s13195-024-01533-5] [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: 08/04/2023] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND The identification of factors involved in the conversion across the different Alzheimer's disease (AD) stages is crucial to prevent or slow the disease progression. We aimed to assess the factors and their combination associated with the conversion across the AD stages, from mild cognitive impairment to dementia, at a mild, moderate or severe stage and to identify profiles associated with earliest/latest conversion across the AD stages. METHODS In this study conducted on the real-life MEMORA cohort data collected from January 1, 2013, and December 31, 2019, three cohorts were selected depending on the baseline neurocognitive stage from a consecutive sample of patients attending a memory center, aged between 50 and 90 years old, with a diagnosis of AD during the follow-up, and with at least 2 visits at 6 months to 1 year of interval. A machine learning approach was used to assess the relationship between factors including socio-demographic characteristics, comorbidities and history of diseases, prescription of drugs, and geriatric hospitalizations, and the censored time to conversion from mild cognitive impairment to AD dementia, from the mild stage of dementia to the moderate or severe stages of AD dementia, and from the moderate stage of AD dementia to the severe stage. Profiles of earliest/latest conversion compared to median time to conversion across stages were identified. The median time to conversion was estimated with a Kaplan-Meier estimator. RESULTS Overall, 2891 patients were included (mean age 77±9 years old, 65% women). The median time of follow-up was 28 months for mild cognitive impairment (MCI) patients, 33 months for mild AD dementia and 30 months for moderate AD dementia. Among the 1264 patients at MCI stage, 61% converted to AD dementia (median time to conversion: 25 months). Among the 1142 patients with mild AD dementia, 59% converted to moderate/severe stage (median time: 23 months) and among the 1332 patients with moderate AD dementia, 23% converted to severe stage (Q3 time to conversion: 22 months). Among the studied factors, cardiovascular comorbidities, anxiety, social isolation, osteoporosis, and hearing disorders were identified as being associated with earlier conversion across stages. Symptomatic treatment i.e. cholinesterase inhibitors for AD was associated with later conversion from mild stage of dementia to moderate/severe stages. CONCLUSION This study based on a machine learning approach allowed to identify potentially modifiable factors associated with conversion across AD stages for which timely interventions may be implemented to delay disease progression.
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Affiliation(s)
- Virginie Dauphinot
- Clinical and Research Memory Centre, Lyon Institute For Aging, Charpennes Hospital, Hospices Civils de Lyon, 27 rue Gabriel Péri, Villeurbanne, Lyon, 69100, France.
| | | | | | | | | | - Claire Moutet
- Clinical and Research Memory Centre, Lyon Institute For Aging, Charpennes Hospital, Hospices Civils de Lyon, 27 rue Gabriel Péri, Villeurbanne, Lyon, 69100, France
| | - Pierre Krolak-Salmon
- Clinical and Research Memory Centre, Lyon Institute For Aging, Charpennes Hospital, Hospices Civils de Lyon, 27 rue Gabriel Péri, Villeurbanne, Lyon, 69100, France
| | - Antoine Garnier-Crussard
- Clinical and Research Memory Centre, Lyon Institute For Aging, Charpennes Hospital, Hospices Civils de Lyon, 27 rue Gabriel Péri, Villeurbanne, Lyon, 69100, France
- PhIND "Physiopathology and Imaging of Neurological Disorders", Neuropresage Team, Normandie Univ, UNICAEN, INSERM, U1237, Cyceron, Caen, 14000, France
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Cong CH, Li PL, Qiao Y, Li YN, Yang JT, Zhao L, Zhu XR, Tian S, Cao SS, Liu JR, Su JJ. Association between household size and risk of incident dementia in the UK Biobank study. Sci Rep 2024; 14:11026. [PMID: 38744903 PMCID: PMC11094068 DOI: 10.1038/s41598-024-61102-6] [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: 11/21/2023] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
Currently, the relationship between household size and incident dementia, along with the underlying neurobiological mechanisms, remains unclear. This prospective cohort study was based on UK Biobank participants aged ≥ 50 years without a history of dementia. The linear and non-linear longitudinal association was assessed using Cox proportional hazards regression and restricted cubic spline models. Additionally, the potential mechanisms driven by brain structures were investigated by linear regression models. We included 275,629 participants (mean age at baseline 60.45 years [SD 5.39]). Over a mean follow-up of 9.5 years, 6031 individuals developed all-cause dementia. Multivariable analyses revealed that smaller household size was associated with an increased risk of all-cause dementia (HR, 1.06; 95% CI 1.02-1.09), vascular dementia (HR, 1.08; 95% CI 1.01-1.15), and non-Alzheimer's disease non-vascular dementia (HR, 1.09; 95% CI 1.03-1.14). No significant association was observed for Alzheimer's disease. Restricted cubic splines demonstrated a reversed J-shaped relationship between household size and all-cause and cause-specific dementia. Additionally, substantial associations existed between household size and brain structures. Our findings suggest that small household size is a risk factor for dementia. Additionally, brain structural differences related to household size support these associations. Household size may thus be a potential modifiable risk factor for dementia.
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Affiliation(s)
- Chao-Hua Cong
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Pan-Long Li
- Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7 Weiwu Road, Zhengzhou, 450001, China
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, No. 5 Dongfeng Road, Zhengzhou, 450001, China
| | - Yuan Qiao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Yu-Na Li
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Jun-Ting Yang
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Lei Zhao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Xi-Rui Zhu
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, No. 5 Dongfeng Road, Zhengzhou, 450001, China
| | - Shan Tian
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Shan-Shan Cao
- Department of Neurology, Gongli Hospital of Shanghai Pudong New Area, No. 219 Miaopu Road, Pudong New District, Shanghai, 200135, China
| | - Jian-Ren Liu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China.
| | - Jing-Jing Su
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China.
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Yang TC, Kim S, Choi SWE, Halloway S, Mitchell UA, Shaw BA. Neighborhood Features and Cognitive Function: Moderating Roles of Individual Socioeconomic Status. Am J Prev Med 2024; 66:454-462. [PMID: 37871754 DOI: 10.1016/j.amepre.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 10/12/2023] [Accepted: 10/16/2023] [Indexed: 10/25/2023]
Abstract
INTRODUCTION There is an interest in exploring the associations between neighborhood characteristics and individual cognitive function; however, little is known about whether these relationships can be modified by individual socioeconomic status, such as educational attainment and income. METHODS Drawing from the 2010-2018 Health and Retirement Study, this study analyzed 10,621 older respondents (aged 65+) with a total of 33,931 person-waves. These respondents did not have dementia in 2010 and stayed in the same neighborhood throughout the study period. Cognitive function was measured with a 27-point indicator biennially, and neighborhood characteristics (i.e., walkability, concentrated disadvantage, and social isolation) were assessed in 2010. All analyses were performed in 2023. RESULTS Cognitive function is positively associated with neighborhood walkability and negatively related to concentrated disadvantage, suggesting that exposures to these neighborhood characteristics have long-lasting impacts on cognitive function. Furthermore, individual socioeconomic status modifies the relationship between neighborhood characteristics and cognitive function. Compared with those graduating from college, respondents without a bachelor's degree consistently have lower cognitive function but the educational gap in cognitive function narrows with increases in walkability (b= -0.152, SE=0.092), and widens when neighborhood concentrated disadvantage (b=0.212, SE=0.070) or social isolation (b=0.315, SE=0.125) rises. The income gap in cognitive function shrinks with increases in walkability (b= -0.063, SE=0.027). CONCLUSIONS The moderating role of socioeconomic status indicates that low-socioeconomic status older adults who also live in disadvantaged neighborhoods face a higher risk of poor cognitive function. Low-education and low-income aging adults may have the most to gain from investments to improve neighborhood characteristics.
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Affiliation(s)
- Tse-Chuan Yang
- Department of Sociology, University at Albany, State University of New York, Albany, New York.
| | - Seulki Kim
- Department of Sociology, University of Nebraska-Lincoln, Lincoln, Nebraska
| | - Seung-Won Emily Choi
- Department of Sociology, Anthropology, and Social Work, Texas Tech University, Lubbock, Texas
| | - Shannon Halloway
- Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois
| | - Uchechi A Mitchell
- Division of Community Health Sciences, University of Illinois Chicago, Chicago, Illinois
| | - Benjamin A Shaw
- Division of Community Health Sciences, University of Illinois Chicago, Chicago, Illinois
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Wang X, Dai M, Xu J. Association of living alone and living alone time with hypertension among Chinese men aged 80 years and older: a cohort study. Front Public Health 2024; 11:1274955. [PMID: 38249394 PMCID: PMC10796616 DOI: 10.3389/fpubh.2023.1274955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024] Open
Abstract
Objective There is little evidence of the influence of living alone on hypertension risk among men 80 years or older. Additionally, the influence of living alone duration on hypertension risk lacks thorough investigation. Hence, this cohort study examines living alone and its duration's link to hypertension risk in this specific group. Methods We included 2009 older men aged ≥80 years without hypertension from the Chinese Longitudinal Healthy Longevity Survey in the 2008 wave. Follow-up was conducted in the 2011 wave. Multivariable Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) to assess hypertension risk related to living alone and living alone time. Results We included 2,009 older men, with a mean age of 90.7 years (standard deviation: 6.8). Over a median follow-up of 2.9 (1.3-3.0) years, 573 participants (28.5%) developed hypertension. Living alone was significantly associated with a higher hypertension risk than living with family (HR: 1.42; 95% CI 1.11-1.80). When compared to living with family, the hypertension risk was increased in the first quartile of living alone time (0-6.1 years) (HR: 1.76; 95% CI 1.16-2.66), the second quartile (6.1-10.6 years) (HR: 1.56; 95% CI 1.07-2.29), and the third quartile (10.6-19.3 years) (HR: 1.66; 95% CI 1.08-2.55). Surprisingly, no significant association was found in the fourth quartile (≥19.3 years) with hypertension risk. Stratified and Interaction analyses indicated no significant interaction effects between subgroups. Sensitivity analyses yielded consistent results. Conclusion Living alone was independently associated with an increased risk of hypertension in older men. The highest risk was found in those with the least time alone. These findings imply that social isolation and lack of companionship could be pivotal in hypertension development. Furthermore, the study highlights the need to consider living alone duration when assessing its impact on health outcomes.
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Affiliation(s)
- Xiang Wang
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- Department of Cardiology, Jiujiang First People’s Hospital, Jiujiang, China
| | - Miao Dai
- Department of Geriatrics, Jiujiang First People’s Hospital, Jiujiang, China
| | - Jingsong Xu
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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