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Hozakowska-Roszkowska DM, Mengel-From J, Hristozova TK, Pedersen JK, Jeune B, Andersen-Ranberg K, Hjelmborg JVB, Christensen K, Röttger R, Nygaard M. Mosaic loss of Y chromosome and the association to mortality in Danish men aged 56-100 years. Mech Ageing Dev 2024; 222:111979. [PMID: 39265710 DOI: 10.1016/j.mad.2024.111979] [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: 05/25/2024] [Revised: 08/16/2024] [Accepted: 09/02/2024] [Indexed: 09/14/2024]
Abstract
Mosaic loss of the Y chromosome (mLOY) is a common somatic mutation in the blood of elderly men and several studies have found mLOY in blood cells to be associated with an increased risk of various diseases and mortality. However, most of these studies have focused on middle-aged and older adults, meaning that mLOY in extremely old individuals like centenarians is understudied. To explore mLOY across a wider age range compared to earlier studies and to specifically focus on centenarians, mLOY was estimated in 917 Danish men aged 56-100 years. We found that the percentage of men with LOY increased with age until age 85, after which it plateaued at around 40 %. Consistently, a longitudinal comparison of mLOY revealed that mLOY predominantly increased with age, although inter-individual variation was seen. Using a twin sub-sample, the broad-sense heritability of mLOY was estimated at 72 %, indicating a substantial genetic influence. Supporting previous findings, mLOY was found to associate with increased mortality across all study participants and in men younger than 80 years. In centenarians, however, a higher level of mLOY associated with better survival, most likely due to selection, although confirmation of our findings in larger studies is needed.
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Affiliation(s)
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
| | - Teodora K Hristozova
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
| | - Jacob Krabbe Pedersen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
| | - Bernard Jeune
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
| | - Karen Andersen-Ranberg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark; Department of Clinical Research, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark; Department of Geriatric Medicine, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark.
| | - Jacob V B Hjelmborg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark; Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark; Department of Clinical Biochemistry, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark.
| | - Richard Röttger
- Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
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Grubic N, Andreacchi AT, Batomen B. Is Your Smartphone a Heartbreaker? Dialing into the Connection Between Mobile Phone Use and Cardiovascular Disease. Can J Cardiol 2024:S0828-282X(24)00526-9. [PMID: 39230549 DOI: 10.1016/j.cjca.2024.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 07/05/2024] [Accepted: 07/08/2024] [Indexed: 09/05/2024] Open
Affiliation(s)
- Nicholas Grubic
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
| | - Alessandra T Andreacchi
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Brice Batomen
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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3
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Schattner A. The Wide Spectrum of Presentations of Cytomegalovirus Infection in Immunocompetent Hosts: An Exhaustive Narrative Review. Pathogens 2024; 13:667. [PMID: 39204267 PMCID: PMC11357360 DOI: 10.3390/pathogens13080667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/09/2024] [Accepted: 07/26/2024] [Indexed: 09/03/2024] Open
Abstract
CMV is a ubiquitous DNA virus that establishes infection and results in 40-100% seropositivity. Viral replication occurs following an acquired primary infection (or reinfection) or by the reactivation of life-long latency. In immunocompetent patients, CMV infection is mostly asymptomatic or mild and self-limited. However, an extensive review of the literature published up to April 2024 reveals that despite immunocompetence, CMV can cause a very large variety of clinical syndromes in any part of the gastrointestinal tract (the most common pattern), the central or peripheral nervous system, and the eyes, as well as hematological, pulmonary, cardiac, and cutaneous disease. Not uncommonly, more than one system is involved, and though the disease is often self-limited, treatment with intravenous ganciclovir or oral valganciclovir may be required, and in isolated cases, fatalities may occur. Thus, a potential CMV infection should be considered in the differential of myriad syndromes in non-immunocompromised patients. Associated systemic symptoms (fever, sweats, and weight loss), lymphocytosis, and hepatitis are not uncommon and can be a useful clue. Some populations, such as critically ill patients in intensive care, pregnant women, elderly patients, and those with inflammatory bowel disease, may be more susceptible. Moreover, the potential of past, latent CMV infection (i.e., CMV seropositivity) to be associated with significant cardiovascular morbidity and all-cause mortality years later is intriguing and requires further study. All these data indicate the outstanding importance of developing a vaccine against CMV, which hopefully will become available in the foreseeable future. Meanwhile, a solid diagnosis of active CMV infection can be quickly established (or ruled out) by widely available serology tests and PCR amplification, and clinicians in all disciplines need to be more aware of the diverse guises of CMV infection and remember to consider it in any host, including an immunocompetent one.
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Affiliation(s)
- Ami Schattner
- The Faculty of Medicine, Hebrew University Hadassah Medical School, Ein Kerem, Jerusalem 91120, Israel
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Crestol A, de Lange AMG, Schindler L, Subramaniapillai S, Nerland S, Oppenheimer H, Westlye LT, Andreassen OA, Agartz I, Tamnes CK, Barth C. Linking menopause-related factors, history of depression, APOE ε4, and proxies of biological aging in the UK biobank cohort. Horm Behav 2024; 164:105596. [PMID: 38944998 PMCID: PMC11372440 DOI: 10.1016/j.yhbeh.2024.105596] [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: 02/13/2024] [Revised: 06/14/2024] [Accepted: 06/18/2024] [Indexed: 07/02/2024]
Abstract
In a subset of females, postmenopausal status has been linked to accelerated aging and neurological decline. A complex interplay between reproductive-related factors, mental disorders, and genetics may influence brain function and accelerate the rate of aging in the postmenopausal phase. Using multiple regressions corrected for age, in this preregistered study we investigated the associations between menopause-related factors (i.e., menopausal status, menopause type, age at menopause, and reproductive span) and proxies of cellular aging (leukocyte telomere length, LTL) and brain aging (white and gray matter brain age gap, BAG) in 13,780 females from the UK Biobank (age range 39-82). We then determined how these proxies of aging were associated with each other, and evaluated the effects of menopause-related factors, history of depression (= lifetime broad depression), and APOE ε4 genotype on BAG and LTL, examining both additive and interactive relationships. We found that postmenopausal status and older age at natural menopause were linked to longer LTL and lower BAG. Surgical menopause and longer natural reproductive span were also associated with longer LTL. BAG and LTL were not significantly associated with each other. The greatest variance in each proxy of biological aging was most consistently explained by models with the addition of both lifetime broad depression and APOE ε4 genotype. Overall, this study demonstrates a complex interplay between menopause-related factors, lifetime broad depression, APOE ε4 genotype, and proxies of biological aging. However, results are potentially influenced by a disproportionate number of healthier participants among postmenopausal females. Future longitudinal studies incorporating heterogeneous samples are an essential step towards advancing female health.
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Affiliation(s)
- Arielle Crestol
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway; Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Ann-Marie G de Lange
- Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Louise Schindler
- Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sivaniya Subramaniapillai
- Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; Department of Psychology, University of Oslo, Oslo, Norway
| | - Stener Nerland
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway; Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hannah Oppenheimer
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo & Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo & Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo & Oslo University Hospital, Oslo, Norway; Department of Clinical Neuroscience, Centre for Psychiatry Research, Stockholm Health Care Services, Karolinska Institute, Stockholm County Council, Stockholm, Sweden; Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christian K Tamnes
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Claudia Barth
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway.
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Grubic N, Khattar J, De Rubeis V, Banack HR, Dabravolskaj J, Maximova K. The Weight of Trauma: Navigating Collider Stratification Bias in the Association Between Childhood Maltreatment and Adult Body Mass Index. CJC PEDIATRIC AND CONGENITAL HEART DISEASE 2024; 3:98-101. [PMID: 39070954 PMCID: PMC11282882 DOI: 10.1016/j.cjcpc.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 05/02/2024] [Indexed: 07/30/2024]
Affiliation(s)
- Nicholas Grubic
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jayati Khattar
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Vanessa De Rubeis
- Department of Psychiatry & Behavioural Neurosciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Hailey R. Banack
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Julia Dabravolskaj
- MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Katerina Maximova
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Toronto, Ontario, Canada
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Guan L, Tuttle CSL, Galkin F, Zhavoronkov A, Maier AB. Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT. Exp Gerontol 2024; 190:112421. [PMID: 38588752 DOI: 10.1016/j.exger.2024.112421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/27/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Accelerated biological ageing is a major underlying mechanism of frailty development. This study aimed to investigate if the biological age measured by a blood biochemistry-based ageing clock is associated with frailty in geriatric rehabilitation inpatients. METHODS Within the REStORing health of acutely unwell adulTs (RESORT) cohort, patients' biological age was measured by an ageing clock based on completed data of 30 routine blood test variables measured at rehabilitation admission. The delta of biological age minus chronological age (years) was calculated. Ordinal logistic regression and multinomial logistic regression were performed to evaluate the association of the delta of ages with frailty assessed by the Clinical Frailty Scale. Effect modification of Cumulative Illness Rating Scale (CIRS) score was tested. RESULTS A total of 1187 geriatric rehabilitation patients were included (median age: 83.4 years, IQR: 77.7-88.5; 57.4 % female). The biochemistry-based biological age was strongly correlated with chronological age (Spearman r = 0.883). After adjustment for age, sex and primary reasons for acute admission, higher biological age (per 1 year higher in delta of ages) was associated with more severe frailty at admission (OR: 1.053, 95 % CI:1.012-1.096) in patients who had a CIRS score of <12 not in patients with a CIRS score >12. The delta of ages was not associated with frailty change from admission to discharge. The specific frailty manifestations as cardiac, hematological, respiratory, renal, and endocrine conditions were associated with higher biological age. CONCLUSION Higher biological age was associated with severe frailty in geriatric rehabilitation inpatients with less comorbidity burden.
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Affiliation(s)
- Lihuan Guan
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Victoria, Australia; Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore.
| | - Camilla S L Tuttle
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Victoria, Australia; Department of Surgery, St Vincent's Hospital, The University of Melbourne, Victoria, Australia.
| | | | - Alex Zhavoronkov
- Deep longevity, Hong Kong; Insilico Medicine, Hong Kong Science and Technology Park, Hong Kong; The Buck Institute for Research on Aging, Novato, CA, USA.
| | - Andrea B Maier
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Victoria, Australia; Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam Movement Sciences, Amsterdam, the Netherlands.; Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore.
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7
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Dodds L, Brayne C, Siette J. Associations between social networks, cognitive function, and quality of life among older adults in long-term care. BMC Geriatr 2024; 24:221. [PMID: 38438951 PMCID: PMC10910782 DOI: 10.1186/s12877-024-04794-9] [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: 08/15/2023] [Accepted: 02/08/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Having rich social networks is associated with better physical and cognitive health, however older adults entering long-term care may experience an increased risk of social isolation and consequent negative impacts on cognitive function. Our study aimed to identify if there is an association between accessing specific types of services or activities within long-term care on social networks and cognition. METHODS A cross-sectional study of 96 residents from 2 aged care providers in New South Wales, Australia. Residents were given a battery of assessments measuring social network structure (Lubben Social Network Scale, LSNS-12), quality of life (EuroQol 5D, Eq. 5D5L) and cognitive function (Montreal Cognitive Assessment, MoCA). Demographic factors and service use factors were also collected from aged care providers' electronic records. Independent sample t-test, ANOVA and linear regression analyses were used to explore associated factors for cognition. RESULTS Residents had a mean age of 82.7 ± 9.4 years (median = 81) and 64.6% were women. Most residents had cognitive impairment (70.8%) and reported moderate sized social networks (26.7/60) (Lubben Social Network Scale, LSNS-12). Residents who had larger social networks of both family and friends had significantly better cognitive performance. Service type and frequency of attendance were not associated with cognitive function. CONCLUSIONS Among individuals most at risk of social isolation, having supportive and fulfilling social networks was associated with preserved cognitive function. The relationship between service provision and social interactions that offer psychosocial support within long-term facilities and its impact over time on cognitive function requires further exploration.
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Affiliation(s)
- Laura Dodds
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW, Australia
| | - Carol Brayne
- Cambridge Public Health, Cambridge University, Cambridge, UK
| | - Joyce Siette
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW, Australia.
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Yang YP, Chiu CT, Chao A, Yeh YC, Sun WZ, Liu CM, Chan WS. An observational study of microcirculation among healthy individuals by age and sex. Clin Hemorheol Microcirc 2024; 86:407-417. [PMID: 38073381 DOI: 10.3233/ch-231807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
OBJECTIVE This study measured normal ranges of microcirculatory parameters in healthy individuals and investigated differences in parameters by age and sex. METHODS Participants were enrolled into three groups with equal numbers of male and female: young (20-39 years), middle-aged (40-59 years), and elderly (60-79 years). Sublingual microcirculation images were obtained using the incident dark field (IDF). RESULTS A total of 75 female and 75 male healthy individuals were enrolled. The elderly group had a higher TVD (26.5 [2] vs. 25.2 [1.8]; p = 0.019) and a lower PPV (97 [2] vs. 98 [3]; p = 0.03) than did the young group. In the elderly group, systolic blood pressure (SBP) and mean arterial pressure (MAP) were moderately and positively correlated with MFI score (r = 0.407, p < 0.05, and r = 0.403, p < 0.05, respectively). The female participants had a lower MFI score than did the male participants (2.9 [2.8-3] vs. 3.0 [2.9-3]; p = 0.015). CONCLUSIONS This study revealed the range of microcirculatory parameters between different ages and sexes in healthy individuals. We found that blood pressure levels were correlated with microcirculatory parameters, especially in elders and female.
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Affiliation(s)
- Yun-Ping Yang
- Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ching-Tang Chiu
- Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan
| | - Anne Chao
- Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yu-Chang Yeh
- Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan
| | - Wei-Zen Sun
- Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Min Liu
- Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan
| | - Wing-Sum Chan
- Department of Anesthesiology, Far Eastern Memorial Hospital, New Taipei, Taiwan
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do Amaral Júnior OL, Fagundes MLB, Menegazzo GR, do Amaral Giordani JM. The mediating role of social capital in socioeconomic inequalities of oral health behaviours among Brazilian older adults. Community Dent Oral Epidemiol 2023; 51:879-886. [PMID: 35964240 DOI: 10.1111/cdoe.12780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Knowledge of the possible pathways linking socioeconomic status (SES) to oral health-related behaviours can improve the understanding of inequalities in oral health. Therefore, in this study, it was investigated whether social capital mediates the relationship between SES and oral health behaviours. METHODS Through a cross-sectional study, data were analysed from participants aged ≥60 years from the Brazilian National Health Survey 2019 (n = 21 575). Structural equation modelling was used to test the direct and indirect pathways from a latent variable for SES to a latent variable for oral health behaviours: daily flossing, toothbrushing frequency and the use of dental care services. RESULTS The maximum likelihood estimator was used for complex samples with robust standard errors, and the final model demonstrated an adequate fit. The findings demonstrated that a higher SES was directly associated with better oral health-related behaviours (standardized coefficient [SC]: 0.82; [90% CI: 0.78-0.85]) and indirectly via structural social capital (SC: 0.05; [90% CI: 0.02-0.07]). The total effect of SES on oral health-related behaviours was (SC: 0.87, [90% CI: 0.85-0.89]). CONCLUSION The findings demonstrate that structural social capital in older Brazilian adults might partly mediate the pathways to socioeconomic inequalities in oral health behaviours. However, there is a direct effect on oral health behaviours, reinforcing the hypothesis that SES is associated with oral health, based on paths that link income inequality to oral health.
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Affiliation(s)
- Orlando Luiz do Amaral Júnior
- Department of Stomatology, School of Dentistry, Universidade Federal de Santa Maria - UFSM, Santa Maria, Brazil
- Department of Oral Health, School of Dentistry, Centro Universitário FAI - UCEFF, Itapiranga, Brazil
| | | | - Gabriele Rissotto Menegazzo
- Department of Stomatology, School of Dentistry, Universidade Federal de Santa Maria - UFSM, Santa Maria, Brazil
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Cheng M, Sommet N, Kerac M, Jopp DS, Spini D. Exposure to the 1959-1961 Chinese famine and risk of non-communicable diseases in later life: A life course perspective. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0002161. [PMID: 37585364 PMCID: PMC10431657 DOI: 10.1371/journal.pgph.0002161] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 06/20/2023] [Indexed: 08/18/2023]
Abstract
Child undernutrition and later-life non-communicable diseases (NCDs) are major global health issues. Literature suggests that undernutrition/famine exposure in childhood has immediate and long-term adverse health consequences. However, many studies have theoretical and methodological limitations. To add to the literature and overcome some of these limitations, we adopted a life course perspective and used more robust methods. We investigated the association between exposure to the 1959-1961 Chinese famine and later-life NCDs and if this association depends on: life stage at exposure, famine severity, and sex. We conducted a secondary data analysis of a large-scale, nationally representative, longitudinal study-the China Health and Retirement Longitudinal Study (2011-2018, 11,094 participants). We measured famine exposure/severity using self-reported experience, life stage using age at exposure, and health using the number of NCDs. We performed Poisson growth curve models. We obtained three findings. First, compared with unexposed participants, those exposed before age 18 had a higher risk of later-life NCDs, particularly if exposed in-utero (IRR = 1.90, 95% CI [1.70, 2.12], p < .001) and in the "first 1,000 days" of life (IRR = 1.86, 95% CI [1.73, 2.00], p < .001; for 0-6 months group, IRR = 1.95, 95% CI [1.67, 2.29], p < .001). Second, the famine effects among participants moderately and severely exposed were similar (IRR = 1.18, 95% CI [1.09, 1.28], p < .001 and IRR = 1.24, 95% CI [1.17, 1.32], p < .001). Third, the famine effects did not differ between females and males (IRR = 0.98, 95% CI [0.90, 1.07], p = .703). In an individual's life course, in-utero and the "first 1,000 days" are a particularly sensitive time period with marked long-term implications for NCDs if undernutrition/famine is experienced in this period. However, this window remains open until young adulthood. This highlights the need to invest more in preventing and treating child/adolescent undernutrition to tackle later-life NCDs.
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Affiliation(s)
- Mengling Cheng
- Swiss Centre of Expertise in Life Course Research, Faculty of Social and Political Sciences, University of Lausanne, Lausanne, Switzerland
| | - Nicolas Sommet
- Swiss Centre of Expertise in Life Course Research, Faculty of Social and Political Sciences, University of Lausanne, Lausanne, Switzerland
| | - Marko Kerac
- Centre for Maternal Adolescent Reproductive & Child Health (MARCH), London School of Hygiene & Tropical Medicine, London, United Kingdom
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Daniela S. Jopp
- Swiss Centre of Expertise in Life Course Research, Faculty of Social and Political Sciences, University of Lausanne, Lausanne, Switzerland
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - Dario Spini
- Swiss Centre of Expertise in Life Course Research, Faculty of Social and Political Sciences, University of Lausanne, Lausanne, Switzerland
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
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11
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Okoye SM, Fabius CD, Reider L, Wolff JL. Predictors of falls in older adults with and without dementia. Alzheimers Dement 2023; 19:2888-2897. [PMID: 36633222 PMCID: PMC10336176 DOI: 10.1002/alz.12916] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 01/13/2023]
Abstract
INTRODUCTION Persons living with, versus without, dementia (PLWD) have heightened fall-risk. Little is known about whether fall-risk factors differ by dementia status. METHODS Using the 2015 and 2016 National Health and Aging Trends Study, we prospectively identified fall-risk factors over a 12-month period among community-living older adults ≥65 years with and without dementia (n = 5581). RESULTS Fall rates were higher among PLWD compared to persons without dementia (45.5% vs. 30.9%). In a multivariable model including sociodemographic, health, function, and environmental characteristics as predictors, vision impairment (OR: 2.22, 95% CI: 1.12-4.40), and living with a spouse versus alone (OR: 2.43, 95% CI: 1.09-5.43) predicted falls among PLWD, but not among persons without dementia. History of previous falls predicted subsequent falls regardless of dementia status (OR: 6.20, 95% CI: 3.81-10.09, and OR: 2.92, 95% CI: 2.50-3.40, respectively). DISCUSSION Incorporating appropriate fall-risk factors could inform effective falls screening and prevention strategies for PLWD. HIGHLIGHTS 46% of persons with dementia had ≥1 falls versus 31% of those without dementia in 2016. Vision impairment and living with a spouse predicted falls in persons with dementia. Study results support tailored fall prevention strategies for persons with dementia.
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Affiliation(s)
| | - Chanee D. Fabius
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Lisa Reider
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Jennifer L. Wolff
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Rydén L, Wetterberg H, Ahlner F, Falk Erhag H, Gudmundsson P, Guo X, Joas E, Johansson L, Kern S, Mellqvist Fässberg M, Najar J, Ribbe M, Rydberg Sterner T, Sacuiu S, Samuelsson J, Sigström R, Skoog J, Waern M, Zettergren A, Skoog I. Attrition in the Gothenburg H70 birth cohort studies, an 18-year follow-up of the 1930 cohort. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1151519. [PMID: 38455909 PMCID: PMC10910926 DOI: 10.3389/fepid.2023.1151519] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/17/2023] [Indexed: 03/09/2024]
Abstract
Background Longitudinal studies are essential to understand the ageing process, and risk factors and consequences for disorders, but attrition may cause selection bias and impact generalizability. We describe the 1930 cohort of the Gothenburg H70 Birth Cohort Studies, followed from age 70 to 88, and compare baseline characteristics for those who continue participation with those who die, refuse, and drop out for any reason during follow-up. Methods A population-based sample born 1930 was examined with comprehensive assessments at age 70 (N = 524). The sample was followed up and extended to increase sample size at age 75 (N = 767). Subsequent follow-ups were conducted at ages 79, 85, and 88. Logistic regression was used to analyze baseline characteristics in relation to participation status at follow-up. Results Refusal to participate in subsequent examinations was related to lower educational level, higher blood pressure, and lower scores on cognitive tests. Both attrition due to death and total attrition were associated with male sex, lower educational level, smoking, ADL dependency, several diseases, poorer lung function, slower gait speed, lower scores on cognitive tests, depressive symptoms, and a larger number of medications. Attrition due to death was also associated with not having a partner. Conclusions It is important to consider different types of attrition when interpreting results from longitudinal studies, as representativeness and results may be differently affected by different types of attrition. Besides reducing barriers to participation, methods such as imputation and weighted analyses can be used to handle selection bias.
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Affiliation(s)
- Lina Rydén
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Hanna Wetterberg
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Felicia Ahlner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Hanna Falk Erhag
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Pia Gudmundsson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Xinxin Guo
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Department of Mood Disorders, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Erik Joas
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Lena Johansson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Madeleine Mellqvist Fässberg
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mats Ribbe
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Simona Sacuiu
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jessica Samuelsson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Robert Sigström
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Johan Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Psychiatry, Psychotic Disorders, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
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Parada H, Bergstrom J, Bangen KJ, Reas ET. Pulse pressure trajectories predict brain microstructure in community-dwelling older adults: Associations with executive function and modification by APOE. Alzheimers Dement 2023; 19:1963-1973. [PMID: 36377803 PMCID: PMC10182213 DOI: 10.1002/alz.12844] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/16/2022] [Accepted: 10/05/2022] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Effects of chronic arterial stiffness on brain aging remain unclear. We, therefore, examined whether long-term trajectories of pulse pressure (PP) predicted brain microstructure, microstructure mediated PP-executive function associations, and APOE genotype modified PP-microstructure associations. METHODS We examined associations of PP trajectories with brain microstructure measured using restriction spectrum imaging in 146 community-dwelling older adults, whether microstructure mediated PP trajectory-executive function associations, and whether PP-restriction spectrum imaging correlations were modified by APOE-ε4 status. RESULTS Participants with trajectories of high PP had lower restricted isotropic diffusion (RI) compared to those with low PP trajectories and PP-executive function associations were mediated by subcortical and white matter RI. High PP more strongly correlated with lower RI and higher hindered diffusion among APOE-ε4 carriers than non-carriers. DISCUSSION Prolonged elevated PP predicts microstructural abnormalities which may contribute to impaired executive function. APOE-ε4 carriers may be most vulnerable to the adverse effects of PP on brain microstructure.
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Affiliation(s)
- Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA
- University of California, San Diego Moores Cancer Center, La Jolla, CA, USA
- Department of Radiation Medicine & Applied Science, University of California, San Diego, La Jolla, CA, USA
| | - Jaclyn Bergstrom
- Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Katherine J. Bangen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Emilie T. Reas
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
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14
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Severe mitral regurgitation in nonagenarians: Impact of symptomatic status, frailty and etiology on management and outcomes. Int J Cardiol 2023; 377:92-98. [PMID: 36702362 DOI: 10.1016/j.ijcard.2023.01.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/26/2022] [Accepted: 01/16/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND Data regarding mitral regurgitation (MR) in extremely elderly patients are limited. The aim of the present study was to assess symptomatic status, frailty, etiology and outcomes for nonagenarians with severe MR. METHODS Single-center cohort study of patients ≥90 years of age with at least 3+ MR on echocardiography between September 2010 and August 2018. Out of a total of 11,998 patients with at least 3+ MR, 267 patients were included in the present study. RESULTS The average age was 93.5 ± 2.6 years, and 57% were female. At baseline, 88% were symptomatic, with mean Charlson co-morbidity index of 6 ± 2 points, and mean frailty score of 2.9 ± 1.4 points. Primary MR was present in 50%, secondary in 47%, and prosthetic valve dysfunction in 3%. Among patients with primary MR, the most common etiology was mitral annular calcification (58%). In comparison, the most common etiology of secondary MR was atrial functional MR (52%). Of all, 95% were treated conservatively, and 5% underwent interventional management. Among 253 patients who had follow-up data with a median follow-up of 14 months (25th-75th interquartile range: 3-31 months), 191 patients (75%) died. Mortality trended higher in the conservative group versus the interventional group (60% vs. 22%, log-rank P = 0.063). CONCLUSIONS Most nonagenarians with significant MR were symptomatic at presentation, had elevated Charlson co-morbidity index and frailty scores. Etiologies of MR were almost equally distributed between primary and secondary causes. The vast majority of nonagenarians with significant MR were conservatively managed.
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15
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Viljanen A, Salminen M, Irjala K, Korhonen P, Vahlberg T, Viitanen M, Löppönen M, Viikari L. Re-examination of successful agers with lower biological than chronological age still after a 20-year follow-up period. BMC Geriatr 2023; 23:128. [PMID: 36882768 PMCID: PMC9990196 DOI: 10.1186/s12877-023-03844-y] [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: 10/13/2022] [Accepted: 02/24/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Successful ageing is the term often used for depicting exceptional ageing but a uniform definition is lacking. The aim was to re-examine and describe the successful agers living at home at the age of 84 years or over after a 20-year follow-up. The purpose was also to identify possible factors leading to their successful ageing. METHODS Successful ageing was defined as the ability to live at home without daily care. Data on the participants' functional ability, objective health, self-rated health and satisfaction with life were gathered at baseline and after a 20-year follow-up period. A measurement of personal biological age (PBA) was established and the difference between the PBA and the chronological age (CA) was counted. RESULTS The participants' mean age was 87.6 years (Standard deviation 2.5, range 84-96). All analyzed variables depicted poorer physical ability and subjective health at re-examination than at baseline. Still, 99% of the participants were at least moderately satisfied with their lives. The PBA at baseline was 6.5 years younger than CA, and at re-examination, the difference was even more pronounced at 10.5 years. DISCUSSION Even though the participants were chronologically older, had poorer physical ability and subjective health, they were still satisfied with their lives indicating possible psychological resilience. The difference between the PBA and CA was greater at re-examination than at baseline indicating that they were also biologically successful agers. CONCLUSIONS Successful agers were satisfied with life despite hardships and had a lower biological than chronological age. Further research is needed to evaluate causality.
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Affiliation(s)
- Anna Viljanen
- Wellbeing Services County of Southwest Finland, Turku University Hospital, Domain of General Practice and Rehabilitation, Turku, Finland. .,Department of Clinical Medicine, Faculty of Medicine, Unit of Geriatric Medicine, University of Turku and Turku City Hospital, Kunnallissairaalantie 20, 20700, Turku, Finland.
| | - Marika Salminen
- Wellbeing Services County of Southwest Finland, Turku University Hospital, Medical Domain, Geriatric Medicine, Turku, Finland.,Faculty of Medicine, Department of Clinical Medicine, Unit of General Practice, University of Turku and Turku University Hospital, 20014, Turku, Finland
| | - Kerttu Irjala
- Faculty of Medicine, Department of Clinical Medicine, Unit of Clinical Chemistry, University of Turku and Turku University Hospital, 20521, Turku, Finland
| | - Päivi Korhonen
- Faculty of Medicine, Department of Clinical Medicine, Unit of General Practice, University of Turku and Turku University Hospital, 20014, Turku, Finland
| | - Tero Vahlberg
- Faculty of Medicine, Department of Clinical Medicine, Unit of Biostatistics, University of Turku and Turku University Hospital, Turku, Finland
| | - Matti Viitanen
- Department of Clinical Medicine, Faculty of Medicine, Unit of Geriatric Medicine, University of Turku and Turku City Hospital, Kunnallissairaalantie 20, 20700, Turku, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Minna Löppönen
- Wellbeing Services County of Southwest Finland, Turku University Hospital, Domain of General Practice and Rehabilitation, Turku, Finland
| | - Laura Viikari
- Department of Clinical Medicine, Faculty of Medicine, Unit of Geriatric Medicine, University of Turku and Turku City Hospital, Kunnallissairaalantie 20, 20700, Turku, Finland.,Wellbeing Services County of Southwest Finland, Turku University Hospital, Medical Domain, Geriatric Medicine, Turku, Finland
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16
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Mak JKL, Kuja-Halkola R, Bai G, Hassing LB, Pedersen NL, Hägg S, Jylhävä J, Reynolds CA. Genetic and Environmental Influences on Longitudinal Frailty Trajectories From Adulthood into Old Age. J Gerontol A Biol Sci Med Sci 2023; 78:333-341. [PMID: 36124734 PMCID: PMC9951061 DOI: 10.1093/gerona/glac197] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Frailty is a complex, dynamic geriatric condition, but limited evidence has shown how genes and environment may contribute to its longitudinal changes. We sought to investigate sources of individual differences in the longitudinal trajectories of frailty, considering potential selection bias when including a sample of oldest-old twins. METHODS Data were from 2 Swedish twin cohort studies: a younger cohort comprising 1 842 adults aged 29-96 years followed up to 15 waves, and an older cohort comprising 654 adults aged ≥79 years followed up to 5 waves. Frailty was measured using the frailty index (FI). Age-based latent growth curve models were used to examine longitudinal trajectories, and extended to a biometric analysis to decompose variability into genetic and environmental etiologies. RESULTS A bilinear model with an inflection point at age 75 best described the data, indicating a fourfold to fivefold faster FI increase after 75 years. Twins from the older cohort had significantly higher mean FI at baseline but slower rate of increase afterward. FI level at age 75 was moderately heritable in both men (42%) and women (55%). Genetic influences were relatively stable across age for men and increasing for women, although the most salient amplification in FI variability after age 75 was due to individual-specific environmental influences for both men and women; conclusions were largely consistent when excluding the older cohort. CONCLUSION Increased heterogeneity of frailty in late life is mainly attributable to environmental influences, highlighting the importance of targeting environmental risk factors to mitigate frailty in older adults.
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Affiliation(s)
- Jonathan K L Mak
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ge Bai
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Linda B Hassing
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
- Centre for Ageing and Health, University of Gothenburg, Gothenburg, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| | - Chandra A Reynolds
- Department of Psychology, University of California, Riverside, California, USA
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17
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Paradela RS, Farias-Itao DS, Leite REP, Pasqualucci CA, Grinberg LT, Naslavsky MS, Zatz M, Nitrini R, Jacob-Filho W, Suemoto CK. Apolipoprotein E genotypes were not associated with intracranial atherosclerosis: a population-based autopsy study. Cardiovasc Pathol 2023; 62:107479. [PMID: 36155836 PMCID: PMC9990746 DOI: 10.1016/j.carpath.2022.107479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/16/2022] [Accepted: 09/17/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Apolipoprotein E gene (APOE) ε4 allele is associated with a higher risk of carotid atherosclerosis, but less is known about the association of APOE with intracranial atherosclerotic disease (IAD). We aimed to investigate the association of APOE alleles with IAD in a cross-sectional autopsy study. METHODS We measured the stenosis in the 12 arteries of the Circle of Willis using postmortem morphometric measurements. The APOE polymorphism was determined by real-time polymerase chain reaction. We assessed the association between APOE polymorphism and IAD using regression models adjusted for sociodemographic and clinical variables. We also verified the modifier effect of age, sex, and race on this association. We stratified the analysis by age group to investigate the possibility of attrition bias. RESULTS In 400 participants (mean age=73.2±12.3 years old, 51% female, and 64% White), IAD was evaluated in 4,504 artery segments. APOE-ε4 was not associated with IAD nor with the number of artery stenosis compared to non-APOE-ε4 carriers. Sociodemographic variables did not modify this relationship. Among participants older than 70 years, there was a trend towards an association between APOE allele ε4 and a lower stenosis index in the middle cerebral artery, suggesting attrition bias related to the APOE-ε4 effect on mortality. CONCLUSIONS APOE alleles were not associated with IAD in this population-based autopsy study. Lower stenosis in older participants suggests the possibility of attrition bias.
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Affiliation(s)
| | | | - Renata E P Leite
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Carlos A Pasqualucci
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Lea T Grinberg
- Memory and Aging Center, University of California San Francisco, USA
| | - Michel Satya Naslavsky
- Human Genome and Stem Cell Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil
| | - Mayana Zatz
- Human Genome and Stem Cell Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil
| | - Ricardo Nitrini
- Department of Neurology, University of São Paulo Medical School, Brazil
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Banack HR, LaMonte MJ, Manson JE, Zhu K, Evans WJ, Shankaran M, Wactawski-Wende J. Association of muscle mass measured by D3-Creatine (D3Cr), sarcopenic obesity, and insulin-glucose homeostasis in postmenopausal women. PLoS One 2022; 17:e0278723. [PMID: 36490255 PMCID: PMC9733841 DOI: 10.1371/journal.pone.0278723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
The D3-Creatine (D3Cr) dilution method is a direct and accurate measure of skeletal muscle mass. In this study, we examined the association of D3Cr muscle mass with measures of insulin-glucose homeostasis in community dwelling postmenopausal women. Additionally, we examined association of sarcopenic obesity, defined as low D3Cr muscle mass and high percent body fat, with fasting plasma glucose, insulin, hemoglobin A1c and insulin resistance. Insulin resistance was measured by the homeostatic measure of insulin resistance (HOMA-IR). This pilot study included 74 participants (mean age = 82.3 years) from the Women's Health Initiative-Buffalo site. The D3Cr method was initiated at a clinic visit and used to measure muscle mass via remote urine sample collection. Descriptive and graphical approaches and age-adjusted linear regression models were used to analyze study data. We examined muscle mass as an absolute value (kg) and scaled to body weight (D3Cr muscle mass/kg). There was an inverse relationship between skeletal muscle mass, and impaired insulin-glucose homeostasis. Women with low muscle mass had higher levels of insulin (uIU/mL; β = -0.40; 95% CI: -0.79, -0.01), fasting plasma glucose (mg/dL; β = -0.1; 95% CI: -0.2, 0.03), HbA1c (%; β = -2.30; 95% CI: -5.7, 1.1), and calculated homeostatic model of insulin resistance, HOMA-IR, (β = -1.49; 95% CI: -2.9, -0.1). Sarcopenic obesity was common in this population of women; 41% of participants were categorized as having low muscle mass and high percent body fat. Results demonstrate that D3Cr muscle mass is independently associated with measures of insulin-glucose homeostasis, but obesity is a stronger predictor of insulin resistance than muscle mass.
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Affiliation(s)
- Hailey R. Banack
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, United States of America
- * E-mail:
| | - Michael J. LaMonte
- School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, United States of America
| | - JoAnn E. Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Kexin Zhu
- School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, United States of America
| | - William J. Evans
- Duke University Medical Center, Division of Geriatrics, Durham, North Carolina, United States of America
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California, United States of America
| | - Mahalakshmi Shankaran
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California, United States of America
| | - Jean Wactawski-Wende
- School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, United States of America
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Li Z, Gong X, Wang S, Liu M, Liu S, Wang Y, Wu D, Yang M, Li R, Li H, Li X, Chen S, Zhang X, Jia R, Guo J, He Y, Wang Y. Cognitive impairment assessed by Mini-Mental State Examination predicts all-cause and CVD mortality in Chinese older adults: A 10-year follow-up study. Front Public Health 2022; 10:908120. [PMID: 36518570 PMCID: PMC9744251 DOI: 10.3389/fpubh.2022.908120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 11/03/2022] [Indexed: 11/29/2022] Open
Abstract
Objective Cognitive impairment (CI) has been demonstrated as a useful proxy measure of mortality in Western populations. However, the predictive value of CI in Chinese populations is unknown. We aimed to explore whether CI is independently associated with increased long-term all-cause and cardiovascular disease (CVD) mortality in Chinese older adults and the association of performance in specific MMSE sub-domains to subsequent mortality. Methods and results A total of 4,499 older adults [mean (SD) age, 70.3(6.7) years] who received a sample investigation from 2011 to 2014 were followed up till 2021 for mortality. The Mini-Mental State Examination was used to assess cognitive function, and Cox's proportional hazard models were used to evaluate the effects of cognitive function on the risk of all-cause and CVD mortality. Demographic characteristics, lifestyle, and health status were included as covariates. During a 10-year follow-up, a total of 667 (14.8%) died. In the fully adjusted model, compared with cognitively normal participants with CI had a 1.33-fold [HR, 1.33; (95% CI, 1.10-1.61)] greater risk of all-cause mortality and a 1.45-fold [HR, 1.45; (95% CIs, 1.11-1.92)] greater risk of CVD mortality. After a similar multivariable adjustment, a per-SD increase in MMSE scores was associated with a reduced risk of all-cause mortality [HR, 0.85; (95% CI, 0.78-0.93)] and CVD mortality [HR, 0.74; (95% CI, 0.65-0.84)]. In the unadjusted model, MMSE sub-domains (apart from immediate recall) were associated with mortality. But only orientation and calculation and attention were still independently associated with all-cause and CVD mortality in a multivariable model. Conclusion These findings confirmed that CI is a marker of all-cause and CVD mortality risk in Chinese older adults, independently of other commonly assessed risk factors, and some sub-domains of the MMSE may have stronger associations with mortality. Further research is needed to identify the mechanisms underlying the observed associations.
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Affiliation(s)
- Zhiqiang Li
- School of Public Health, China Medical University, Shenyang, China,Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Xinran Gong
- School of Public Health, China Medical University, Shenyang, China,Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Shengshu Wang
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China,Department of Healthcare, Agency for Offices Administration, Central Military Commission, Beijing, China
| | - Miao Liu
- Department of Epidemiology and Statistics, Graduate School of Chinese PLA General Hospital, Beijing, China
| | - Shaohua Liu
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Yanding Wang
- School of Public Health, China Medical University, Shenyang, China,Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Di Wu
- School of Public Health, China Medical University, Shenyang, China,Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Meitao Yang
- School of Public Health, China Medical University, Shenyang, China,Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Rongrong Li
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Haowei Li
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Xuehang Li
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Shimin Chen
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Xiushan Zhang
- Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Ruizhong Jia
- Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Jinpeng Guo
- Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China
| | - Yao He
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China,State Key Laboratory of Kidney Diseases, Department of Epidemiology, Chinese People's Liberation Army General Hospital, Beijing, China,Yao He
| | - Yong Wang
- School of Public Health, China Medical University, Shenyang, China,Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China,*Correspondence: Yong Wang
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20
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Duggan MR, Peng Z, An Y, Kitner Triolo MH, Shafer AT, Davatzikos C, Erus G, Karikkineth A, Lewis A, Moghekar A, Walker KA. Herpes Viruses in the Baltimore Longitudinal Study of Aging: Associations With Brain Volumes, Cognitive Performance, and Plasma Biomarkers. Neurology 2022; 99:e2014-e2024. [PMID: 35985823 PMCID: PMC9651463 DOI: 10.1212/wnl.0000000000201036] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 06/15/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Although an infectious etiology of Alzheimer disease (AD) has received renewed attention with a particular focus on herpes viruses, the longitudinal effects of symptomatic herpes virus (sHHV) infection on brain structure and cognition remain poorly understood, as does the effect of sHHV on AD/neurodegeneration biomarkers. METHODS We used a longitudinal, community-based cohort to characterize the association of sHHV diagnoses with changes in 3 T MRI brain volume and cognitive performance. In addition, we related sHHV to cross-sectional differences in plasma biomarkers of AD (β-amyloid [Aβ]42/40), astrogliosis (glial fibrillary acidic protein [GFAP]), and neurodegeneration (neurofilament light [NfL]). Baltimore Longitudinal Study of Aging participants were recruited from the community and assessed with serial brain MRIs and cognitive examinations over an average of 3.4 (SD = 3.2) and 8.6 (SD = 7.7) years, respectively. sHHV classification used International Classification of Diseases, Ninth Revision codes documented at comprehensive health and functional screening evaluations at each study visit. Linear mixed-effects and multivariable linear regression models were used in analyses. RESULTS A total of 1,009 participants were included in the primary MRI analysis, 98% of whom were cognitively normal at baseline MRI (mean age = 65.7 years; 54.8% female). Having a sHHV diagnosis (N = 119) was associated with longitudinal reductions in white matter volume (annual additional rate of change -0.34 cm3/y; p = 0.035), particularly in the temporal lobe. However, there was no association between sHHV and changes in total brain, total gray matter, or AD signature region volumes. Among the 119 participants with sHHV, exposure to antiviral treatment attenuated declines in occipital white matter (p = 0.04). Although the sHHV group had higher cognitive scores at baseline, sHHV diagnosis was associated with accelerated longitudinal declines in attention (annual additional rate of change -0.01 Z-score/year; p = 0.008). In addition, sHHV diagnosis was associated with elevated plasma GFAP, but not related to Aβ42/40 and NfL levels. DISCUSSION These findings suggest an association of sHHV infection with white matter volume loss, attentional decline, and astrogliosis. Although the findings link sHHV to several neurocognitive features, the results do not support an association between sHHV and AD-specific disease processes.
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Affiliation(s)
- Michael R Duggan
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Zhongsheng Peng
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Yang An
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD.
| | - Melissa H Kitner Triolo
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Andrea T Shafer
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Christos Davatzikos
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Guray Erus
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ajoy Karikkineth
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Alexandria Lewis
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Abhay Moghekar
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Keenan A Walker
- From the Laboratory of Behavioral Neuroscience (M.R.D., Z.P., Y.A., M.H.K.T., A.T.S., K.A.W.), National Institute on Aging, Baltimore, MD; Section of Biomedical Image Analysis (C.D., G.E.), Department of Radiology, University of Pennsylvania, Philadelphia; Clinical Research Core (A.K.), National Institute on Aging; and Department of Neurology (A.L., A.M.), Johns Hopkins University School of Medicine, Baltimore, MD.
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21
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Huh Y, Kim DH, Jung JH, Park YG, Roh YK, Kim SM, Cho KH. Risk Assessment of Mortality in Elderly Individuals: A Nationwide Cohort Study. Gerontology 2022; 68:1266-1275. [PMID: 35100599 DOI: 10.1159/000521725] [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: 07/19/2021] [Accepted: 12/30/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION There are several methods that are used to predict emergency room visits or rehospitalization for the elderly. However, existing risk assessment models of mortality in elderly people are limited. The purpose of this study was to ascertain the factors that affect all-cause mortality and to show the risk assessment model of mortality in elderly Koreans. METHODS This was a cohort study conducted using the health checkup data of 246,422 individuals aged ≥60 years, which was provided by the National Health Insurance Service of South Korea between January 1, 2009, and December 31, 2012. The hazard ratios and 95% confidence intervals (CIs) of several conditions and all-cause deaths were estimated using a multivariable Cox proportional hazards model. A nomogram was constructed to visualize the risk factors of mortality; a calibration plot and area under the curve (AUC) were also used to verify the nomogram. RESULTS Being 85 years or older (100 points) had the greatest influence on all-cause mortality, followed by being underweight (57 points), having more than five chronic diseases (49 points), and ages 78-84 years (45 points); smoking and lack of regular exercise affected mortality to a similar degree. The calibration curves showed good agreement between predictions and observations. The AUC of our nomogram was 0.73 (95% CI: 0.72-0.73). CONCLUSIONS Our results showed the relationship between each condition and mortality rate among elderly individuals in Korea. Our nomogram showed a satisfactory performance in the assessment of the risk of all-cause mortality in elderly Korean people.
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Affiliation(s)
- Youn Huh
- Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University, Daejeon, Republic of Korea,
| | - Do-Hoon Kim
- Department of Family Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Daejeon, Republic of Korea
| | - Jin-Hyung Jung
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong-Gyu Park
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong-Kyun Roh
- Department of Family Medicine, Hallym University Medical Center, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Seon Mee Kim
- Department of Family Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyung-Hwan Cho
- Department of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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22
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Payne CF, Kobayashi LC. Changes in Life Expectancy and Disability-Free Life Expectancy in Successive Birth Cohorts of Older Cancer Survivors: A Longitudinal Modeling Analysis of the US Health and Retirement Study. Am J Epidemiol 2022; 191:104-114. [PMID: 34613389 PMCID: PMC8751799 DOI: 10.1093/aje/kwab241] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 09/01/2021] [Accepted: 09/28/2021] [Indexed: 01/05/2023] Open
Abstract
The population of older cancer survivors in the United States is rapidly growing. However, little is currently known about how the health of older cancer survivors has changed over time and across successive birth cohorts. Using data from the US Health and Retirement Study, we parameterized a demographic microsimulation model to compare partial cohort life expectancy (LE) and disability-free LE for US men and women without cancer and with prevalent and incident cancer diagnoses for 4 successive 10-year birth cohorts, born 1918–1927 to 1948–1957. Disability was defined as being disabled in ≥1 activity of daily living. These cohorts had midpoint ages of 55–64, 65–74, and 75–84 years during the periods 1998–2008 (the “early” period) and 2008–2018 (the “later” period). Across all cohorts and periods, those with incident cancer had the lowest LE, followed by those with prevalent cancer and cancer-free individuals. We observed declines in partial LE and an expansion of life spent disabled among more recent birth cohorts of prevalent-cancer survivors. Our findings suggest that advances in treatments that prolong life for individual cancer patients may have led to population-level declines in conditional LE and disability-free LE across successive cohorts of older cancer survivors.
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Affiliation(s)
- Collin F Payne
- Correspondence to Dr. Collin F. Payne, RSSS Building, Room 4.60, 146 Ellery Crescent, Acton, ACT, 2614, Australia (e-mail: )
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23
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Li Z, Wang S, Liu S, Gong X, Wang Y, Wu D, Yang M, Li R, Li H, Li X, Chen S, Jia R, Guo J, Wang J, Liu M, He Y, Wang Y. Synergistic impact of diabetes and cognitive impairment on all-cause and cause-specific mortality in Chinese older adults: A prospective population-based cohort study. Front Endocrinol (Lausanne) 2022; 13:997260. [PMID: 36452317 PMCID: PMC9702801 DOI: 10.3389/fendo.2022.997260] [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: 07/18/2022] [Accepted: 10/14/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Diabetes mellitus (DM) or cognitive impairment (CI) is known to be strongly associated with mortality. DM commonly coexists with CI and proportionally increases with age. However, little is known about the combined effect of cognitive function and diabetes on mortality. This study aimed to evaluate the combined effects of DM and CI on all-cause and cause-specific mortality in Chinese older adults. METHODS This prospective population-based cohort study was based on the Beijing Elderly Comprehensive Health Cohort Study. A total of 4,499 older adults were included. Cox's proportional hazard models were utilized to calculate the effect of DM and CI on all-cause, cardiovascular disease (CVD) mortality and cancer mortality, and a multiplicative term was introduced to study a potential interaction between DM and CI on outcomes. RESULTS During a median follow-up of 6.8 years (ranging from 6.6 to 11.7 years), 667 (14.8%) participants died from all causes, 292 from CVD, and 215 from cancer. In the fully adjusted model, participants with coexisting DM and CI had the highest risk of all-cause mortality [hazard ratios (HRs), 3.08; 95% confidence intervals (CIs), 2.30,4.11] and CVD mortality (HRs, 3.85; 95% CIs, 2.60,5.71) compared with individuals with normal cognition and non-DM. We also found a multiplicative interaction between DM and CI in respect to all-cause (HRs, 2.46; 95% CI, 1.87,3.22) and CVD mortality (HRs, 3.15 95% CI, 2.19,4.55). In the diabetic population, CI was associated with an increased risk of all-cause mortality (HRs, 2.09; 95% CIs, 1.51,2.89) and CVD mortality (HRs, 3.16; 95% CIs, 2.02,5.05) compared with the normal cognition group. Restricted cubic spline revealed a linear inverse association between Mini-Mental State Examination (MMSE) score and all-cause, CVD mortality in the total sample and participants without diabetes. However, a nearly reverse J association was observed between MMSE and mortality from all causes and CVD in the diabetes group. CONCLUSION The findings highlighted that cognitive impairment concomitant with diabetes further increases the risk of mortality. In addition to strengthening routine screening of cognitive functioning in older adults with early-stage diabetes, more extensive assessment of prognostic risks has high clinical value for developing comprehensive treatment plans.
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Affiliation(s)
- Zhiqiang Li
- School of Public Health, China Medical University, Shenyang, China
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Shengshu Wang
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
- Department of Healthcare, Agency for Offices Administration, Central Military Commission, People’s Republic of China, Beijing, China
| | - Shaohua Liu
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xinran Gong
- School of Public Health, China Medical University, Shenyang, China
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Yanding Wang
- School of Public Health, China Medical University, Shenyang, China
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Di Wu
- School of Public Health, China Medical University, Shenyang, China
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Meitao Yang
- School of Public Health, China Medical University, Shenyang, China
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Rongrong Li
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Haowei Li
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xuehang Li
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Shimin Chen
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Ruizhong Jia
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Jinpeng Guo
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
| | - Jianhua Wang
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Miao Liu
- Department of Epidemiology and Statistics, Graduate School of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Yao He
- Beijing Key Laboratory of Aging and Geriatrics, Institute of Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
- Department of Epidemiology, State Key Laboratory of Kidney Diseases, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Yong Wang, ; Yao He,
| | - Yong Wang
- School of Public Health, China Medical University, Shenyang, China
- Center for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
- *Correspondence: Yong Wang, ; Yao He,
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Amin RM, Raad M, Rao SS, Musharbash F, Best MJ, Amanatullah DF. Survival bias may explain the appearance of the obesity paradox in hip fracture patients. Osteoporos Int 2021; 32:2555-2562. [PMID: 34245343 PMCID: PMC8819709 DOI: 10.1007/s00198-021-06046-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 06/21/2021] [Indexed: 01/29/2023]
Abstract
UNLABELLED Patients with low-energy hip fractures do not follow the obesity paradox as previously reported. In datasets where injury mechanism is not available, the use of age >50 years (as opposed to commonly used >65 years) as a surrogate for a low-energy hip fracture patients may be a more robust inclusion criterion. PURPOSE: In elderly patients with a hip fracture, limited data suggests that obese patients counterintuitively have improved survival compared to normal-weight patients. This "obesity paradox" may be the byproduct of selection bias. We hypothesized that the obesity paradox would not apply to elderly hip fracture patients. METHODS The National Surgical Quality Improvement Project dataset identified 71,685 hip fracture patients ≥50 years-of-age with complete body mass index (BMI) data that underwent surgery. Patients were stratified into under and over 75-year-old cohorts (n=18,956 and 52,729, respectively). Within each age group, patients were stratified by BMI class and compared with respect to preoperative characteristics and 30-day mortality. Significant univariate characteristics (p<0.1) were included in multivariate analysis to determine the independent effect of obesity class on 30-day mortality (p<0.05). RESULTS Multivariate analysis of <75-year-old patients with class-III obesity were more likely to die within 30-days than similarly aged normal-weight patients (OR 1.91, CI 1.06-3.42, p=0.030). Multivariate analysis of ≥75-year-old overweight (OR 0.69, CI 0.62-0.77, p<0.001), class-I obese (OR 0.62, CI 0.51-0.74, p<0.001), or class-II obese (OR=0.69, CI 0.50-0.95, p=0.022) patients were less likely to die within 30-days when compared to similarly aged normal-weight patients. CONCLUSIONS Our data suggest that obesity is a risk factor for mortality in low-energy hip fracture patients, but the appearance of the "obesity paradox" in elderly hip fracture patients results from statistical bias that is only evident upon subgroup analysis.
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Affiliation(s)
- R M Amin
- Department of Orthopaedic Surgery, Stanford Medicine University, 450 Broadway Street, Redwood City, CA, 94063, USA
| | - M Raad
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - S S Rao
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - F Musharbash
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - M J Best
- Department of Orthopedic Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - D F Amanatullah
- Department of Orthopaedic Surgery, Stanford Medicine University, 450 Broadway Street, Redwood City, CA, 94063, USA.
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25
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Banack HR, Hayes-Larson E, Mayeda ER. Monte Carlo Simulation Approaches for Quantitative Bias Analysis: A Tutorial. Epidemiol Rev 2021; 43:106-117. [PMID: 34664653 DOI: 10.1093/epirev/mxab012] [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: 10/31/2020] [Revised: 09/17/2021] [Accepted: 10/14/2021] [Indexed: 11/14/2022] Open
Abstract
Quantitative bias analysis can be used to empirically assess how far study estimates are from the truth (i.e., an estimate that is free of bias). These methods can be used to explore the potential impact of confounding bias, selection bias (collider stratification bias), and information bias. Quantitative bias analysis includes methods that can be used to check the robustness of study findings to multiple types of bias and methods that use simulation studies to generate data and understand the hypothetical impact of specific types of bias in a simulated dataset. In this article, we review two strategies for quantitative bias analysis: 1) traditional probabilistic quantitative bias analysis and 2) quantitative bias analysis with generated data. An important difference between the two strategies relates to the type of data (real vs. generated data) used in the analysis. As we describe, Monte Carlo simulations are used in both approaches, but the simulation process is used for different purposes in each. For both approaches, we outline and describe the steps required to carry out the quantitative bias analysis and also present a bias analysis tutorial demonstrating how both approaches can be applied in the context of an analysis for selection bias. Our goal is to highlight the utility of quantitative bias analysis for practicing epidemiologists and increase the use of these methods in the epidemiologic literature.
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Affiliation(s)
- Hailey R Banack
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
| | - Eleanor Hayes-Larson
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Elizabeth Rose Mayeda
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
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Ciciliati AMM, Adriazola IO, Souza Farias-Itao D, Pasqualucci CA, Leite REP, Nitrini R, Grinberg LT, Jacob-Filho W, Suemoto CK. Severe Dementia Predicts Weight Loss by the Time of Death. Front Neurol 2021; 12:610302. [PMID: 34054683 PMCID: PMC8160379 DOI: 10.3389/fneur.2021.610302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 03/30/2021] [Indexed: 12/05/2022] Open
Abstract
Background: Body mass index (BMI) in midlife is associated with dementia. However, the association between BMI and late-life obesity is controversial. Few studies have investigated the association between BMI and cognitive performance near the time of death using data from autopsy examination. We aimed to investigate the association between BMI and dementia in deceased individuals who underwent a full-body autopsy examination. Methods: Weight and height were measured before the autopsy exam. Cognitive function before death was investigated using the Clinical Dementia Rating (CDR) scale. The cross-sectional association between BMI and dementia was investigated using linear regression models adjusted for sociodemographic and clinical variables. Results: We included 1,090 individuals (mean age 69.5 ± 13.5 years old, 46% women). Most participants (56%) had a normal BMI (18.5–24.9 kg/m2), and the prevalence of dementia was 16%. Twenty-four percent of the sample had cancer, including 76 cases diagnosed only by the autopsy examination. Moderate and severe dementia were associated with lower BMI compared with participants with normal cognition in fully adjusted models (moderate: β = −1.92, 95% CI = −3.77 to −0.06, p = 0.042; severe: β = −2.91, 95% CI = −3.97 to −1.86, p < 0.001). Conclusion: BMI was associated with moderate and severe dementia in late life, but we did not find associations of BMI with less advanced dementia stages.
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Affiliation(s)
| | | | | | | | | | - Ricardo Nitrini
- Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil
| | - Lea T Grinberg
- Department of Pathology, University of São Paulo Medical School, São Paulo, Brazil.,Department of Neurology and Pathology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Wilson Jacob-Filho
- Discipline of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil
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Foscolou A, Chrysohoou C, Dimitriadis K, Masoura K, Vogiatzi G, Gkotzamanis V, Lazaros G, Tsioufis C, Stefanadis C. The Association of Healthy Aging with Multimorbidity: IKARIA Study. Nutrients 2021; 13:nu13041386. [PMID: 33924100 PMCID: PMC8074281 DOI: 10.3390/nu13041386] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/11/2021] [Accepted: 04/18/2021] [Indexed: 01/02/2023] Open
Abstract
The aim of this study was to evaluate several sociodemographic, lifestyle, and clinical characteristics of the IKARIA study participants and to find healthy aging trajectories of multimorbidity of Ikarian islanders. During 2009, 1410 people (aged 30+) from Ikaria Island, Greece, were voluntarily enrolled in the IKARIA study. Multimorbidity was defined as the combination of at least two of the following chronic diseases: hypertension; hypercholesterolemia; diabetes; obesity; cancer; CVD; osteoporosis; thyroid, renal, and chronic obstructive pulmonary disease. A healthy aging index (HAI) ranging from 0 to 100 was constructed using 4 attributes, i.e., depression symptomatology, cognitive function, mobility, and socializing. The prevalence of multimorbidity was 51% among men and 65.5% among women, while the average number of comorbidities was 1.7 ± 1.4 for men and 2.2 ± 1.4 for women. The most prevalent chronic diseases among men with multimorbidity were hypertension, hypercholesterolemia, and obesity while among women they were hypertension, hypercholesterolemia, and thyroid disease. Multimorbidity was correlated with HAI (Spearman’s rho = −0.127, p < 0.001) and for every 10-unit increase in HAI, participants had 20% lower odds of being multimorbid. Multimorbidity in relation to HAI revealed a different trend across aging among men and women, coinciding only in the seventh decade of life. Aging is usually accompanied by chronic diseases, but multimorbidity seems to also be common among younger adults. However, healthy aging is a lifelong process that may lead to limited co-morbidities across the lifespan.
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Affiliation(s)
- Alexandra Foscolou
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17676 Athens, Greece;
| | - Christina Chrysohoou
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
- Correspondence: ; Tel.: +30-213-208-8000
| | - Kyriakos Dimitriadis
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
| | - Konstantina Masoura
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
| | - Georgia Vogiatzi
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
| | - Viktor Gkotzamanis
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17676 Athens, Greece;
| | - George Lazaros
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
| | - Costas Tsioufis
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
| | - Christodoulos Stefanadis
- First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.F.); (K.D.); (K.M.); (G.V.); (G.L.); (C.T.); (C.S.)
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Kobayashi LC, Farrell MT, Langa KM, Mahlalela N, Wagner RG, Berkman LF. Incidence of Cognitive Impairment during Aging in Rural South Africa: Evidence from HAALSI, 2014 to 2019. Neuroepidemiology 2021; 55:100-108. [PMID: 33657567 PMCID: PMC8058235 DOI: 10.1159/000513276] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 11/20/2020] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Despite rapid population aging, there are currently limited data on the incidence of aging-related cognitive impairment in sub-Saharan Africa. We aimed to determine the incidence of cognitive impairment and its distribution across key demographic, social, and health-related factors among older adults in rural South Africa. METHODS Data were from in-person interviews with 3,856 adults aged ≥40 who were free from cognitive impairment at baseline in the population-representative cohort, "Health and Aging in Africa: a Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), in Agincourt sub-district, Mpumalanga province, South Africa (2014-19). Cognitive impairment was defined as scoring <1.5 standard deviations below the mean of the baseline distribution of orientation and episodic memory scores. Incidence rates and rate ratios for cognitive impairment were estimated according to key demographic, social, and health-related factors, adjusted for age, sex/gender, and country of birth. RESULTS The incidence of cognitive impairment was 25.7/1,000 person-years (PY; 95% confidence interval [CI]: 23.0-28.8), weighted for mortality (12%) and attrition (6%) over the 3.5-year mean follow-up (range: 1.5-4.8 years). Incidence increased with age, from 8.9/1,000 PY (95% CI: 5.2-16.8) among those aged 40-44 to 93.5/1,000 PY (95% CI: 75.9-116.3) among those aged 80+, and age-specific risks were similar by sex/gender. Incidence was strongly associated with formal education and literacy, as well as marital status, household assets, employment, and alcohol consumption but not with history of smoking, hypertension, stroke, angina, heart attack, diabetes, or prevalent HIV. CONCLUSIONS This study presents some of the first incidence rate estimates for aging-related cognitive impairment in rural South Africa. Social disparities in incident cognitive impairment rates were apparent in patterns similar to those observed in many high-income countries.
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Affiliation(s)
- Lindsay C Kobayashi
- Center for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA,
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA,
| | - Meagan T Farrell
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA
| | - Kenneth M Langa
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA
| | - Nomsa Mahlalela
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ryan G Wagner
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lisa F Berkman
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Shaw C, Hayes-Larson E, Glymour MM, Dufouil C, Hohman TJ, Whitmer RA, Kobayashi LC, Brookmeyer R, Mayeda ER. Evaluation of Selective Survival and Sex/Gender Differences in Dementia Incidence Using a Simulation Model. JAMA Netw Open 2021; 4:e211001. [PMID: 33687445 PMCID: PMC7944377 DOI: 10.1001/jamanetworkopen.2021.1001] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPORTANCE Dementia research is susceptible to bias arising from selective survival, a process that results in individuals with certain characteristics disproportionately surviving to old age. Spurious associations between risk factors and dementia may be induced when factors associated with longer survival also influence dementia incidence. OBJECTIVE To assess the role of selective survival in explaining reported sex/gender differences in dementia incidence. DESIGN, SETTING, AND PARTICIPANTS This decision analytical model used a simulated cohort of US participants aged 50 years and without dementia at baseline followed up for incident dementia through age 95 years. Selective survival was induced by a selection characteristic (eg, childhood social disadvantage or Alzheimer genetic risk) that influenced both mortality and dementia incidence at varying magnitudes. Data analysis was performed from April 2018 to May 2020. EXPOSURE Sex/gender, conceptualized as the combination of biological sex and social consequences of gender. MAIN OUTCOMES AND MEASURES Dementia incidence rate ratios (IRRs) for women compared with men. In all simulations, it was assumed that there would be no true effect of sex/gender on dementia incidence; all observed sex/gender differences were due to selective survival. RESULTS At baseline, the simulation included 100 000 participants aged 50 years (51 000 [51%] women, mirroring the 1919-1921 US birth cohort of non-Latino White individuals at age 50 years); distributions of the selection characteristic were standard normal (mean [SD], 0.0 [1.0]). Observed sex/gender differences in dementia incidence in individuals aged 85 years or older ranged from insignificant (IRR, 1.00; 95% CI, 0.91-1.11) to consistent with sex/gender differences (20% higher risk for women [IRR, 1.20; 95% CI, 1.08-1.32]) reported in an extant study. Simulations in which bias was large enough to explain prior findings required moderate to large differential effects of selective survival (eg, hazard ratio for selection characteristic on mortality at least 2.0 among men, no effect among women). CONCLUSIONS AND RELEVANCE These results suggest that selective survival may contribute to observed sex/gender differences in dementia incidence but do not preclude potential contributions of sex/gender-specific mechanisms. Further research on plausibility of selection characteristics with outcomes of the magnitude required for selective survival to explain sex/gender differences in dementia incidence and sex/gender-specific mechanisms represent an opportunity to understand prevention and treatment of dementia.
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Affiliation(s)
- Crystal Shaw
- Fielding School of Public Health, Department of Epidemiology, University of California, Los Angeles
- Fielding School of Public Health, Department of Biostatistics, University of California, Los Angeles
| | - Eleanor Hayes-Larson
- Fielding School of Public Health, Department of Epidemiology, University of California, Los Angeles
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Carole Dufouil
- Centre Inserm U1219, d’Epidémiologie et de Développement, Bordeaux School of Public Health, Institut de Santé Publique Université de Bordeaux, Bordeaux, France
- Pole de sante publique, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Rachel A. Whitmer
- Alzheimer’s Disease Research Center, University of California, Davis
- Department of Public Health Sciences, University of California, Davis
| | - Lindsay C. Kobayashi
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Ron Brookmeyer
- Fielding School of Public Health, Department of Biostatistics, University of California, Los Angeles
| | - Elizabeth Rose Mayeda
- Fielding School of Public Health, Department of Epidemiology, University of California, Los Angeles
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Wangping J, Ke H, Shengshu W, Yang S, Shanshan Y, Wenzhe C, Yao H, Miao L. Associations Between Anemia, Cognitive Impairment, and All-Cause Mortality in Oldest-Old Adults: A Prospective Population-Based Cohort Study. Front Med (Lausanne) 2021; 8:613426. [PMID: 33644094 PMCID: PMC7902775 DOI: 10.3389/fmed.2021.613426] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 01/18/2021] [Indexed: 11/24/2022] Open
Abstract
Objective: To evaluate the combined effects of anemia and cognitive function on the risk of all-cause mortality in oldest-old individuals. Design: Prospective population-based cohort study. Setting and Participants: We included 1,212 oldest-old individuals (men, 416; mean age, 93.3 years). Methods: Blood tests, physical examinations, and health questionnaire surveys were conducted in 2012 were used for baseline data. Mortality was assessed in the subsequent 2014 and 2018 survey waves. Cox proportional hazards models were used to evaluate anemia, cognitive impairment, and mortality risk. We used restricted cubic splines to analyze and visualize the association between hemoglobin (Hb) levels and mortality risk. Results: A total of 801 (66.1%) deaths were identified during the 6-year follow-up. We noted a significant association between anemia and mortality (hazard ratio [HR] 1.32, 95% confidence interval [CI] 1.14-1.54) after adjusting for confounding variables. We also observed a dose-response relationship between the severity of anemia and mortality (P < 0.001). In the restricted cubic spline models, Hb levels had a reverse J-shaped association with mortality risk (HR 0.88, 95% CI 0.84-0.93 per 10 g/L-increase in Hb levels below 130 g/L). The reverse J-shaped association persisted in individuals without cognitive impairment (HR 0.88, 95% CI 0.79-0.98 per 10 g/L-increase in Hb levels below 110 g/L). For people with cognitive impairment, Hb levels were inversely associated with mortality risk (HR 0.83, 95% CI 0.78-0.89 per 10 g/L-increase in Hb levels below 150 g/L). People with anemia and cognitive impairment had the highest risk of mortality (HR 2.60, 95% CI 2.06-3.27). Conclusion: Our results indicate that anemia is associated with an increased risk of mortality in oldest-old people. Cognitive impairment modifies the association between Hb levels and mortality.
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Affiliation(s)
- Jia Wangping
- Graduate School, Chinese People's Liberation Army General Hospital, Beijing, China
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
- Department of Military Medical Technology Support, School of Non-commissioned Officer, Army Medical University, Shijiazhuang, China
| | - Han Ke
- Graduate School, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Wang Shengshu
- Graduate School, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Song Yang
- Graduate School, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Yang Shanshan
- Department of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Cao Wenzhe
- Graduate School, Chinese People's Liberation Army General Hospital, Beijing, China
| | - He Yao
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Institute of Geriatrics, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Liu Miao
- Graduate School, Chinese People's Liberation Army General Hospital, Beijing, China
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Gupta N, Sheng Z. Beyond weight: examining the association of obesity with cardiometabolic related inpatient costs among Canadian adults using linked population based survey and hospital administrative data. BMC Health Serv Res 2021; 21:54. [PMID: 33430872 PMCID: PMC7802132 DOI: 10.1186/s12913-020-06051-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 12/28/2020] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The global population has transitioned to one where more adults are living with obesity than are underweight. Obesity is associated with the development of cardiometabolic diseases and widely attributed to increased hospital resource use; however, empirical evidence is limited regarding obesity prevention to support hospital cost containment. This study aims to test for obesity in predicting hospitalization costs for cardiometabolic conditions among the Canadian population aged 45 and over. METHODS Data from the 2007-2011 Canadian Community Health Survey were linked to eight years of hospital discharge records. A cohort was identified of inpatients admitted for diabetes, hypertension, and other cardiometabolic diseases. Multiple linear regressions were used to investigate the association between obesity status and inpatient costs, controlling for sociodemographic and behavioural factors. RESULTS The target cohort included 23,295 admissions for cardiometabolic diseases. Although inflation-adjusted inpatient costs generally increased over time, compared with the non-obese group, living with obesity was not a significant predictor of differences in cardiometabolic-related resource use (0.972 [95% CI: 0.926-1.021]). Being female and rural residence were found to be protective factors. CONCLUSIONS Obesity was not found in this study to be independently linked to higher cardiometabolic hospitalization costs, suggesting that actions to mitigate disease progression in the population may be more beneficial than simply promoting weight loss. Results amplified the need to consider gender and urbanization when formulating which levers are most amenable to adoption of healthy lifestyles to reduce impacts of obesogenic environments to the healthcare system.
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Affiliation(s)
- Neeru Gupta
- Department of Sociology, University of New Brunswick, P.O. Box 4400, E3B 5A3, Fredericton, New Brunswick, Canada.
| | - Zihao Sheng
- Department of Economics, Dalhousie University, Halifax, Canada
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Trudel-Fitzgerald C, Tworoger SS, Zhang X, Giovannucci EL, Meyerhardt JA, Kubzansky LD. Anxiety, Depression, and Colorectal Cancer Survival: Results from Two Prospective Cohorts. J Clin Med 2020; 9:E3174. [PMID: 33007946 PMCID: PMC7599619 DOI: 10.3390/jcm9103174] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/24/2020] [Accepted: 09/29/2020] [Indexed: 12/20/2022] Open
Abstract
Given the unalterable nature of most risk factors for colorectal cancer (CRC) survival (e.g., disease stage), identifying modifiable determinants is critical. We investigated whether anxiety and depression were related to CRC survival using data from the Nurses' Health Study (NHS) and Health Professional Follow-up Study (HPFS). Participants who received a CRC diagnosis and provided information about anxiety (nNHS = 335; nHPFS = 232) and depression (nNHS = 893; nHPFS = 272) within 4 years of diagnosis were included. Cox regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) of overall mortality, while controlling for covariates (sociodemographics, cancer characteristics, and lifestyle factors). Pooled risk estimates were derived from fixed effects meta-analyses of the cohorts. Among 1732 CRC patients, 814 deaths occurred during the 28-year follow-up. Each 1 standard deviation increase in anxiety or depression symptoms was associated with a similar 16% higher mortality risk (anxiety: 95% CI = 1.05-1.29; depression: 95% CI = 1.07-1.26). Comparable results were observed across all sensitivity analyses (introducing a 1-year lag, restricting to CRC-related mortality, considering potential behavioral pathways) and stratified models (cancer stage, sex). Our findings suggest greater anxiety and depression symptoms can not only impede adherence to healthy habits and reduce quality of life in cancer patients but could also be a marker for accelerated CRC progression.
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Affiliation(s)
- Claudia Trudel-Fitzgerald
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Shelley S. Tworoger
- Division of Population Science, Moffitt Cancer Center, Tampa, FL 33612, USA;
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA;
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02115, USA;
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jeffrey A. Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02115, USA;
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
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