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Lopes De Oliveira T, Tang B, Bai G, Sjölander A, Jylhävä J, Finkel D, Pedersen NL, Hassing LB, Reynolds CA, Karlsson IK, Hägg S. Effects from medications on functional biomarkers of aging in three longitudinal studies of aging in Sweden. Aging Cell 2024:e14132. [PMID: 38426357 DOI: 10.1111/acel.14132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 03/02/2024] Open
Abstract
Antihypertensive, lipid-lowering, and blood glucose-lowering drugs have slowed down the aging process in animal models. In humans, studies are limited, have short follow-up times, and show mixed results. Therefore, this study aimed to estimate the effects of commonly used medications on functional aging, cognitive function, and frailty. We included information on individuals from three Swedish longitudinal population-based studies collected between 1986 and 2014. Our exposures were the 21 most used groups of medications among individuals aged 65 years and older in the Swedish population in 2022. Functional aging index (n = 1191), cognitive function (n = 1094), and frailty index (n = 1361) were the outcomes of interest. To estimate the medication effects, we used a self-controlled analysis, where each individual is his/her own control, thereby adjusting for all time-stable confounders. The analysis was additionally adjusted for time-varying confounders (chronological age, Charlson Comorbidity Index, smoking, body mass index, and the number of drugs). The participants were 65.5-82.8 years at the first in-person assessment. Adrenergics/inhalants (effect size = 0.089) and lipid-modifying agents/plain (effect size = 0.082) were associated with higher values of cognitive function (improvement), and selective calcium channel blockers with mainly vascular effects (effect size = -0.129) were associated with lower values of the functional aging index (improvement). No beneficial effects were found on the frailty index. Adrenergics/inhalants, lipid-modifying agents/plain, and selective calcium channel blockers with mainly vascular effects may benefit functional biomarkers of aging. More research is needed to investigate their clinical value in preventing adverse aging outcomes.
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Affiliation(s)
- Thaís Lopes De Oliveira
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet, Stockholm, Sweden
| | - Bowen Tang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ge Bai
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Women's and Children's Health, Uppsala Universitet, Uppsala, Sweden
| | - Arvid Sjölander
- 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
| | - Deborah Finkel
- School of Health and Welfare, Institute of Gerontology, Jönköping University, Jönköping, Sweden
- Center for Economic and Social Research, University of Southern California, Los Angeles, California, USA
| | - Nancy L Pedersen
- 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
| | - Chandra A Reynolds
- Department of Psychology, The University of California at Riverside, Riverside, California, USA
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Ida K Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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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: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [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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Dybjer E, Dahl Aslan AK, Engström G, Nilsson ED, Nägga K, Nilsson PM, Hassing LB. Type 1 diabetes, cognitive ability and incidence of cardiovascular disease and death over 60 years of follow-up time in men. Diabet Med 2022; 39:e14806. [PMID: 35129223 PMCID: PMC9540636 DOI: 10.1111/dme.14806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 02/04/2022] [Indexed: 11/30/2022]
Abstract
AIMS There are few cohorts of type 1 diabetes that follow individuals over more than half a century in terms of health outcomes. The aim of this study was to examine associations between type 1 diabetes, diagnosed before age 18, and long-term morbidity and mortality, and to investigate whether cognitive ability plays a role in long-term morbidity and mortality risk. METHODS In a Swedish cohort, 120 men with type 1 diabetes and 469 without type 1 diabetes were followed between 18 and 77 years of age as regards morbidity and mortality outcomes, and impact of cognitive ability at military conscription for the outcomes. In Cox regression analyses and Kaplan-Meier analyses with log-rank tests, associations between diabetes and cognitive ability respectively, and outcomes (mortality, cardiovascular morbidity and diabetes complications) were investigated. RESULTS Men with type 1 diabetes suffered from dramatically higher mortality (HR 4.62, 95% CI: 3.56-5.60), cardiovascular mortality (HR 5.60, 95% CI: 3.27-9.57), and cardiovascular events (HR 3.97, 95% CI: 2.79-5.64) compared to men without diabetes. Higher cognitive ability at military conscription was associated with lower mortality in men without diabetes, but was not associated with any outcome in men with diabetes. CONCLUSIONS In this historical cohort study with 60 years of follow-up time and a less effective treatment of diabetes than today, mortality rates and cardiovascular outcomes were high for men with type 1 diabetes. Morbidity or mortality did not differ between those that had low to normal or high cognitive ability among men with type 1 diabetes.
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Affiliation(s)
- Elin Dybjer
- Department of Clinical Sciences MalmöLund UniversityMalmöSweden
| | - Anna K. Dahl Aslan
- School of Health SciencesUniversity of SkövdeSkövdeSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Institute of GerontologySchool of Health and WelfareJönköping UniversityJönköpingSweden
| | - Gunnar Engström
- Department of Clinical Sciences MalmöLund UniversityMalmöSweden
| | - Erik D. Nilsson
- Clinical Memory Research UnitDepartment of Clinical Sciences MalmöLund UniversityMalmöSweden
| | - Katarina Nägga
- Clinical Memory Research UnitDepartment of Clinical Sciences MalmöLund UniversityMalmöSweden
- Department of Acute Internal Medicine and GeriatricsLinköping UniversityLinköpingSweden
| | | | - Linda B. Hassing
- Department of PsychologyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and HealthUniversity of GothenburgGothenburgSweden
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4
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Ler P, Li X, Hassing LB, Reynolds CA, Finkel D, Karlsson IK, Dahl Aslan AK. Independent and joint effects of body mass index and metabolic health in mid- and late-life on all-cause mortality: a cohort study from the Swedish Twin Registry with a mean follow-up of 13 Years. BMC Public Health 2022; 22:718. [PMID: 35410261 PMCID: PMC9004188 DOI: 10.1186/s12889-022-13082-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 03/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is robust evidence that in midlife, higher body mass index (BMI) and metabolic syndrome (MetS), which often co-exist, are associated with increased mortality risk. However, late-life findings are inconclusive, and few studies have examined how metabolic health status (MHS) affects the BMI-mortality association in different age categories. We, therefore, aimed to investigate how mid- and late-life BMI and MHS interact to affect the risk of mortality. METHODS This cohort study included 12,467 participants from the Swedish Twin Registry, with height, weight, and MHS measures from 1958-2008 and mortality data linked through 2020. We applied Cox proportional hazard regression with age as a timescale to examine how BMI categories (normal weight, overweight, obesity) and MHS (identification of MetS determined by presence/absence of hypertension, hyperglycemia, low HDL, hypertriglyceridemia), independently and in interaction, are associated with the risk of all-cause mortality. Models were adjusted for sex, education, smoking, and cardiovascular disease. RESULTS The midlife group included 6,252 participants with a mean age of 59.6 years (range = 44.9-65.0) and 44.1% women. The late-life group included 6,215 participants with mean age 73.1 years (65.1-95.3) and 46.6% women. In independent effect models, metabolically unhealthy status in midlife increased mortality risks by 31% [hazard ratio 1.31; 95% confidence interval 1.12-1.53] and in late-life, by 18% (1.18;1.10-1.26) relative to metabolically healthy individuals. Midlife obesity increased the mortality risks by 30% (1.30;1.06-1.60) and late-life obesity by 15% (1.15; 1.04-1.27) relative to normal weight. In joint models, the BMI estimates were attenuated while those of MHS were less affected. Models including BMI-MHS categories revealed that, compared to metabolically healthy normal weight, the metabolically unhealthy obesity group had increased mortality risks by 53% (1.53;1.19-1.96) in midlife, and across all BMI categories in late-life (normal weight 1.12; 1.01-1.25, overweight 1.10;1.01-1.21, obesity 1.31;1.15-1.49). Mortality risk was decreased by 9% (0.91; 0.83-0.99) among those with metabolically healthy overweight in late-life. CONCLUSIONS MHS strongly influenced the BMI-mortality association, such that individuals who were metabolically healthy with overweight or obesity in mid- or late-life did not carry excess risks of mortality. Being metabolically unhealthy had a higher risk of mortality independent of their BMI.
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Affiliation(s)
- Peggy Ler
- Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden.
| | - Xia Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Linda B Hassing
- Department of Psychology and Centre for Ageing and Health, University of Gothenburg, Gothenburg, Sweden
| | - Chandra A Reynolds
- Department of Psychology, University of California - Riverside, Riverside, CA, USA
| | - Deborah Finkel
- Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden.,Department of Psychology, Indiana University Southeast, New Albany, Indiana, USA
| | - Ida K Karlsson
- Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna K Dahl Aslan
- Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,School of Health Sciences, University of Skövde, Skövde, Sweden
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5
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Zulka LE, Thorvaldsson V, Hassing LB. IQ in Young Adulthood and Depressive Symptoms Over the Retirement Transition. Innov Aging 2021. [PMCID: PMC8680751 DOI: 10.1093/geroni/igab046.2128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Retirement can be a challenging life transition for mental health. Higher levels of IQ in young adulthood have been shown to be advantageous for different outcomes later in life such as quality of life and well-being. However, it remains unclear whether possessing higher cognitive abilities in early life also favors individuals’ mental health when facing challenges related to the retirement transition. In this study, we therefore investigated the relationship between IQ in young adulthood and depressive symptoms over the retirement transition. We used data of six waves from the longitudinal population-based HEalth, Aging and Retirement in Sweden (HEARTS) study, as well as data on IQ in young adulthood from conscription. In a piecewise structural equation model, we modelled trajectories of depressive symptoms (measured by the CES-D scale) before and after retirement and in relation to young adulthood IQ (n = 1722 men). Results indicated an average decrease in depressive symptoms over the retirement transition for this sample of men. Higher childhood IQ was associated with further reduction in post-retirement depressive symptoms while controlling for education, retirement age, and memory ability and cardiovascular health at baseline. Our findings support the conclusion that higher IQ in young adulthood may act as a protective factor for mental health in the retirement transition. Individuals with higher IQ in young adulthood may have acquired coping strategies throughout their life-course, which they can apply when handling challenges related to retiring.
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Affiliation(s)
| | | | - Linda B Hassing
- University of Gothenburg, Gothenburg, Vastra Gotaland, Sweden
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6
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Zulka LE, Hansson I, Thorvaldsson V, Hassing LB. Cognitive Functioning When Retiring: Findings From a Swedish Population-Based Longitudinal Study. Innov Aging 2020. [PMCID: PMC7742499 DOI: 10.1093/geroni/igaa057.1498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The effects of retirement on cognition are still unclear and empirical evidence is conflicting. Especially for retirement from cognitively demanding jobs, positive as well as negative effects have been reported. Leisure activity engagement has been hypothesized to play an important role in explaining the mixed evidence. In this study, we examine the interplay between job demands before retirement and changes in leisure activities before and after retirement and their relation to post-retirement cognitive functioning. Using data from the HEalth, Aging and Retirement in Sweden (HEARTS) study, cognitive trajectories before and after retirement were modeled in a multi-level piecewise model (N = 2688 observations). Post-retirement memory and reasoning ability were predicted by self-reported work demands and changes in leisure activity engagement. Results imply a stable increase in memory over the retirement transition and less steep increase in abstract reasoning after retirement. Work demands and leisure activity participation were not related to post-retirement cognitive change. Job demands and leisure activity engagement may not play an important role for short-term post-retirement cognitive functioning. These findings support the conclusion that retirement, independent of prior work demands, does not affect cognitive functioning negatively.
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7
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Hassing LB. Gender Differences in the Association Between Leisure Activity in Adulthood and Cognitive Function in Old Age: A Prospective Longitudinal Population-Based Study. J Gerontol B Psychol Sci Soc Sci 2020; 75:11-20. [PMID: 29304225 PMCID: PMC6909435 DOI: 10.1093/geronb/gbx170] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives To examine the long-term association between leisure activities in adulthood and cognitive function in old age while recognizing gender differences in activity profiles. Methods The sample included 340 cognitively healthy twins enrolled in the OCTO-Twin Study, a longitudinal study on cognitive aging. Leisure activity was measured in midlife and cognitive function in old age (mean age 83). Leisure activities covered the domains of domestic, intellectual–cultural, and self-improvement activities. The cognitive assessments comprised 5 measurement occasions (2-year intervals) covering verbal ability, spatial ability, memory, and speed. The association between leisure activity and cognitive function was estimated separately for the genders using growth curve models, adjusting for age and education. Results Men and women had the same level of total leisure activity but differed in activity profiles and in the associations between activity and cognitive function. Higher engagement in self-improvement among men was related to higher level of cognitive functioning. Among women, intellectual–cultural activity was related to better verbal ability and memory. Concerning trajectories of cognitive function, domestic activity among men was related to less decline in speed, whereas for women it was related to steeper decline in spatial ability and memory. Further, higher intellectual–cultural activity among women was related to steeper decline in memory. Discussion Cognitively stimulating activities (i.e., self-improvement and intellectual–cultural), might increase cognitive reserve whereas less cognitively stimulating activities (i.e., domestic) do not. Gender differences should be considered when examining lifestyle factors in relation to cognitive aging.
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Affiliation(s)
- Linda B Hassing
- Department of Psychology, and Centre for Ageing and Health-AgeCap, University of Gothenburg, Gothenburg, Sweden
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8
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Lee CM, Woodward M, Batty GD, Beiser AS, Bell S, Berr C, Bjertness E, Chalmers J, Clarke R, Dartigues JF, Davis-Plourde K, Debette S, Di Angelantonio E, Feart C, Frikke-Schmidt R, Gregson J, Haan MN, Hassing LB, Hayden KM, Hoevenaar-Blom MP, Kaprio J, Kivimaki M, Lappas G, Larson EB, LeBlanc ES, Lee A, Lui LY, Moll van Charante EP, Ninomiya T, Nordestgaard LT, Ohara T, Ohkuma T, Palviainen T, Peres K, Peters R, Qizilbash N, Richard E, Rosengren A, Seshadri S, Shipley M, Singh-Manoux A, Strand BH, van Gool WA, Vuoksimaa E, Yaffe K, Huxley RR. Association of anthropometry and weight change with risk of dementia and its major subtypes: A meta-analysis consisting 2.8 million adults with 57 294 cases of dementia. Obes Rev 2020; 21:e12989. [PMID: 31898862 PMCID: PMC7079047 DOI: 10.1111/obr.12989] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 11/12/2019] [Indexed: 01/15/2023]
Abstract
Uncertainty exists regarding the relation of body size and weight change with dementia risk. As populations continue to age and the global obesity epidemic shows no sign of waning, reliable quantification of such associations is important. We examined the relationship of body mass index, waist circumference, and annual percent weight change with risk of dementia and its subtypes by pooling data from 19 prospective cohort studies and four clinical trials using meta-analysis. Compared with body mass index-defined lower-normal weight (18.5-22.4 kg/m2 ), the risk of all-cause dementia was higher among underweight individuals but lower among those with upper-normal (22.5-24.9 kg/m2 ) levels. Obesity was associated with higher risk in vascular dementia. Similarly, relative to the lowest fifth of waist circumference, those in the highest fifth had nonsignificant higher vascular dementia risk. Weight loss was associated with higher all-cause dementia risk relative to weight maintenance. Weight gain was weakly associated with higher vascular dementia risk. The relationship between body size, weight change, and dementia is complex and exhibits non-linear associations depending on dementia subtype under scrutiny. Weight loss was associated with an elevated risk most likely due to reverse causality and/or pathophysiological changes in the brain, although the latter remains speculative.
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Affiliation(s)
- Crystal ManYing Lee
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.,Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney, Sydney, New South Wales, Australia
| | - Mark Woodward
- The George Institute for Global Health, University of Oxford, Oxford, UK.,The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.,Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, UK.,School of Biological & Population Health Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.,Framingham Heart Study, Framingham, Massachusetts, USA
| | - Steven Bell
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK.,UK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK.,British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Claudine Berr
- INSERM, U1061, Neuropsychiatry: Epidemiological and Clinical Research, University of Montpellier, Montpellier, France.,Memory Research and Resources Center, Department of Neurology, Montpellier University Hospital Gui de Chauliac, Montpellier, France
| | - Espen Bjertness
- Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Robert Clarke
- Clinical Trial Service Unit, Nuffield Department of Population health, University of Oxford, Oxford, UK
| | | | - Kendra Davis-Plourde
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.,Framingham Heart Study, Framingham, Massachusetts, USA
| | - Stéphanie Debette
- INSERM, Bordeaux Population Health Research Center and Department of Neurology, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Emanuele Di Angelantonio
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK.,UK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK.,British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Catherine Feart
- INSERM, Bordeaux Population Health Research Center, UMR U1219, University of Bordeaux, Bordeaux, France
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - John Gregson
- Department of Medical Statistics, LSHTM, London, UK
| | - Mary N Haan
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Linda B Hassing
- Department of Psychology, and Centre for Ageing and Health - AgeCap, University of Gothenburg, Gothenburg, Sweden
| | - Kathleen M Hayden
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Georgios Lappas
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute Seattle, Seattle, Washington, USA
| | - Erin S LeBlanc
- Kaiser Permanente Center for Health Research NW, Portland, Oregon, USA
| | - Anne Lee
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Li-Yung Lui
- Research Institute, California Pacific Medical Center, San Francisco, Carlifornia, USA
| | - Eric P Moll van Charante
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Liv Tybjaerg Nordestgaard
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiaki Ohkuma
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Karine Peres
- INSERM, Bordeaux Population Health Research Center, UMR U1219, University of Bordeaux, Bordeaux, France
| | - Ruth Peters
- Faculty of Science, University of New South Wales, Sydney, New South Wales, Australia.,Neuroscience Research Australia, Sydney, New South Wales, Australia.,Faculty of Medicine, Imperial College London, London, UK
| | - Nawab Qizilbash
- Department of Medical Statistics, LSHTM, London, UK.,OXON Epidemiology, London, UK
| | - Edo Richard
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Neurology, Donderds Centre for Brain, Behaviour and Cognition, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Sahlgrenska University Hospital, Östra Sjukhuset, Gothenburg, Sweden
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.,Framingham Heart Study, Framingham, Massachusetts, USA.,Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Martin Shipley
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | - Bjorn Heine Strand
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway.,Norwegian National Advisory Unit on Aging and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Willem A van Gool
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Kristine Yaffe
- Department of Psychiatry, University of California San Francisco, San Francisco, California, USA
| | - Rachel R Huxley
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.,College of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, Australia.,Faculty of Health, Deakin University, Melbourne, Victoria, Australia
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Zulka LE, Hansson I, Hassing LB. REVIEW ON THE COMPLEX RELATION BETWEEN RETIREMENT AND COGNITION: UNRAVELING THE MIXED EVIDENCE. Innov Aging 2019. [PMCID: PMC6840862 DOI: 10.1093/geroni/igz038.093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
A systematic review from 2017 revealed a great research gap concerning the question if retirement affects cognitive function. Since then, several longitudinal studies have been published, calling for an updated review. The aim of this review is to provide an update with a focus on different retirement operationalization, different cognitive outcomes, and potential mediators like occupational experiences. Twenty peer-reviewed studies with longitudinal designs were included. The results revealed no clear pattern regarding the association between retirement and the cognitive outcomes. Study results varied in relation to factors like occupational experiences, differences in study quality, and cognitive domains. To get an insight into mechanisms behind the relation between retirement and cognitive functioning, more complex study designs are needed that take into account the impact of pre-retirement factors, different retirement related aspects, and the varying effects depending on cognitive domain.
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Affiliation(s)
- Linn Elena Zulka
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
| | - Isabelle Hansson
- Department of Psychology, University of Gothenburg, Gothenburg, Vastra Gotaland, Sweden
| | - Linda B Hassing
- Department of Psychology, University of Gothenburg, Gothenburg, Vastra Gotaland, Sweden
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Hassing LB. Light Alcohol Consumption Does Not Protect Cognitive Function: A Longitudinal Prospective Study. Front Aging Neurosci 2018; 10:81. [PMID: 29632484 PMCID: PMC5879951 DOI: 10.3389/fnagi.2018.00081] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 03/12/2018] [Indexed: 12/15/2022] Open
Abstract
Studies show that light to moderate alcohol consumption is related to better health and higher cognitive performance. However, it has been suggested that this association is caused by a systematic bias in the control group as many people abstain from drinking or quit because of health issues. Therefore, the group of non-drinkers is biased towards poor health and may not be suitable as a control group. The present study examined the effect of alcohol on cognitive performance while addressing this bias by excluding the non-drinkers. Thus, instead of comparing different levels of alcohol consumption to a non-drinking control group, a dose-response association was calculated between all levels of alcohol intake and cognitive performance. The study used information from a sample of people in the Swedish Twin Registry, who in their midlife (1967) participated in a survey on alcohol intake and 25 years later participated in a longitudinal study on cognitive aging (N = 486). The cognitive aging study took place on five occasions, at 2-year intervals, and included the Mini Mental State Examination (MMSE), tests of episodic memory, semantic memory and spatial ability. The association between midlife alcohol consumption and later cognitive performance was analyzed using growth curve models, adjusting for background variables. The findings showed that there was a significant negative dose-response association between alcohol intake in midlife and the MMSE, and the tests of episodic memory, such that higher intake in midlife was related to lower performance in old age. The associations between alcohol and semantic memory, and spatial ability respectively, were not significant. In contrast to findings from other studies, which show that low to moderate alcohol intake promotes cognitive function, the current study showed that alcohol intake was related to lower cognitive performance in a dose-response manner, even at low levels. The results from this study indicate that the observed benefits of moderate alcohol intake for cognitive function reported by others might be solely due to comparisons to an inappropriate control group, a group that is biased towards poor health. Hence, it is concluded that light alcohol intake may not protect cognitive function.
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Affiliation(s)
- Linda B Hassing
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
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11
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Kelly A, Calamia M, Koval A, Terrera GM, Piccinin AM, Clouston S, Hassing LB, Bennett DA, Johansson B, Hofer SM. Independent and interactive impacts of hypertension and diabetes mellitus on verbal memory: A coordinated analysis of longitudinal data from England, Sweden, and the United States. Psychol Aging 2016; 31:262-73. [PMID: 26913926 PMCID: PMC4844806 DOI: 10.1037/pag0000078] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The importance of preventing and controlling hypertension (HTN) and diabetes mellitus (DM) to mitigate risks to physical health has long been understood by health care professionals. More recently, a growing body of evidence implicates HTN and DM in age-related cognitive decline and risk for dementia, though consensus has yet to be reached on whether older adults living with comorbid HTN and DM are at heightened risk for cognitive impairment. The present study sought to contribute to this topic through a coordinated analysis of 3 longitudinal studies of aging from England, Sweden, and the United States (total N = 12,513). Identical multilevel linear growth models were fit to each to estimate the impact of baseline disease status on initial level and change in verbal declarative memory performance. Overall, few associations between HTN, DM, and cognition were observed. Rate of decline was steeper for Swedish participants with independent HTN but attenuated for their American counterparts. Americans with comorbid HTN and DM showed attenuated decline. Treatment with medication was substantially less prevalent in the earlier-born and lower-educated Swedish sample, which may help to explain our pattern of results. In addition, those living with multiple conditions may be more likely to receive treatment, mitigating cognitive decline. Our results present a nuanced view of the interactions between HTN, DM, and cognition, and lead us to recommend consideration of treatment status or proxies such as birth cohort and education, in combination with age at assessment and specific measure used to interpret research in this area. (PsycINFO Database Record
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Affiliation(s)
- Amanda Kelly
- Department of Psychology, University of Victoria
| | | | - Andrey Koval
- Department of Psychology, University of Victoria
| | | | | | - Sean Clouston
- Preventative Medicine Program in Public Health, Stony Brook University
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12
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Chatterjee S, Peters SAE, Woodward M, Mejia Arango S, Batty GD, Beckett N, Beiser A, Borenstein AR, Crane PK, Haan M, Hassing LB, Hayden KM, Kiyohara Y, Larson EB, Li CY, Ninomiya T, Ohara T, Peters R, Russ TC, Seshadri S, Strand BH, Walker R, Xu W, Huxley RR. Type 2 Diabetes as a Risk Factor for Dementia in Women Compared With Men: A Pooled Analysis of 2.3 Million People Comprising More Than 100,000 Cases of Dementia. Diabetes Care 2016; 39:300-7. [PMID: 26681727 PMCID: PMC4722942 DOI: 10.2337/dc15-1588] [Citation(s) in RCA: 344] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Accepted: 10/20/2015] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes confers a greater excess risk of cardiovascular disease in women than in men. Diabetes is also a risk factor for dementia, but whether the association is similar in women and men remains unknown. We performed a meta-analysis of unpublished data to estimate the sex-specific relationship between women and men with diabetes with incident dementia. RESEARCH DESIGN AND METHODS A systematic search identified studies published prior to November 2014 that had reported on the prospective association between diabetes and dementia. Study authors contributed unpublished sex-specific relative risks (RRs) and 95% CIs on the association between diabetes and all dementia and its subtypes. Sex-specific RRs and the women-to-men ratio of RRs (RRRs) were pooled using random-effects meta-analyses. RESULTS Study-level data from 14 studies, 2,310,330 individuals, and 102,174 dementia case patients were included. In multiple-adjusted analyses, diabetes was associated with a 60% increased risk of any dementia in both sexes (women: pooled RR 1.62 [95% CI 1.45-1.80]; men: pooled RR 1.58 [95% CI 1.38-1.81]). The diabetes-associated RRs for vascular dementia were 2.34 (95% CI 1.86-2.94) in women and 1.73 (95% CI 1.61-1.85) in men, and for nonvascular dementia, the RRs were 1.53 (95% CI 1.35-1.73) in women and 1.49 (95% CI 1.31-1.69) in men. Overall, women with diabetes had a 19% greater risk for the development of vascular dementia than men (multiple-adjusted RRR 1.19 [95% CI 1.08-1.30]; P < 0.001). CONCLUSIONS Individuals with type 2 diabetes are at ∼60% greater risk for the development of dementia compared with those without diabetes. For vascular dementia, but not for nonvascular dementia, the additional risk is greater in women.
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Affiliation(s)
| | - Sanne A E Peters
- The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Mark Woodward
- The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, Oxford, U.K. The George Institute for Global Health, University of Sydney, Sydney, Australia Department of Epidemiology, Johns Hopkins University, Baltimore, MD
| | - Silvia Mejia Arango
- Department of Population Studies, El Colegio de la Frontera Norte, Tijuana, Baja California, México
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, U.K. Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, U.K. Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, U.K
| | - Nigel Beckett
- Section of Care of the Elderly, Faculty of Medicine, Imperial College London, London, U.K
| | - Alexa Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Amy R Borenstein
- Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA
| | - Mary Haan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Linda B Hassing
- Department of Psychology, Gothenburg University, Gothenburg, Sweden
| | - Kathleen M Hayden
- Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, NC
| | - Yutaka Kiyohara
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Chung-Yi Li
- Department and Graduate Institute of Public Health, College of Medicine, National Cheng Kung University, Tainan, Tawian
| | - Toshiharu Ninomiya
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ruth Peters
- Section of Care of the Elderly, Faculty of Medicine, Imperial College London, London, U.K
| | - Tom C Russ
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, U.K. Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, U.K. Scottish Dementia Clinical Research Network, NHS Scotland, Edinburgh, U.K. Division of Psychiatry, The University of Edinburgh, Edinburgh, U.K
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | | | - Rod Walker
- Group Health Research Institute, Seattle, WA
| | - Weili Xu
- Aging Research Centre, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden School of Public Health, Tianjin Medical University, Tianjin, China
| | - Rachel R Huxley
- The George Institute for Global Health, University of Sydney, Sydney, Australia School of Public Health, Curtin University, Perth, Australia
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13
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Degl' Innocenti A, Hassing LB, Lindqvist AS, Andersson H, Eriksson L, Hanson FH, Möller N, Nilsson T, Hofvander B, Anckarsäter H. First report from the Swedish National Forensic Psychiatric Register (SNFPR). Int J Law Psychiatry 2014; 37:231-237. [PMID: 24295538 DOI: 10.1016/j.ijlp.2013.11.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
To the best of our knowledge, the present register is the only nationwide forensic psychiatric patient register in the world. The aim of this article is to describe the content of the Swedish National Forensic Psychiatric Register (SNFPR) for Swedish forensic patients for the year 2010. The subjects are individuals who, in connection with prosecution due to criminal acts, have been sentenced to compulsory forensic psychiatric treatment in Sweden. The results show that in 2010, 1476 Swedish forensic patients were assessed in the SNFPR; 1251 (85%) were males and 225 (15%) were females. Almost 60% of the patients had a diagnosis of schizophrenia, with a significantly higher frequency among males than females. As many as 70% of the patients had a previous history of outpatient psychiatric treatment before becoming a forensic psychiatric patient, with a mean age at first contact with psychiatric care of about 20 years old for both sexes. More than 63% of the patients had a history of addiction, with a higher proportion of males than females. Furthermore, as many as 38% of all patients committed crimes while under the influence of alcohol and/or illicit drugs. This was more often the case for men than for women. Both male and female patients were primarily sentenced for crimes related to life and death (e.g., murder, assault). However, there were more females than males in treatment for general dangerous crimes (e.g., arson), whereas men were more often prosecuted for crimes related to sex. In 2010, as many as 70% of all forensic patients in Sweden had a prior sentence for a criminal act, and males were prosecuted significantly more often than females. The most commonly prescribed pharmaceuticals for both genders were antipsychotics, although more women than men were prescribed other pharmaceuticals, such as antidepressants, antiepileptics, and anxiolytics. The result from the present study might give clinicians an opportunity to reflect upon and challenge their traditional treatment methods.
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Affiliation(s)
- Alessio Degl' Innocenti
- CELAM (Center for Ethics, Law and Mental Health), University of Gothenburg, Gothenburg, Sweden; Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | | | - Ann-Sophie Lindqvist
- Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Hans Andersson
- Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Lars Eriksson
- Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Nina Möller
- Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Thomas Nilsson
- CELAM (Center for Ethics, Law and Mental Health), University of Gothenburg, Gothenburg, Sweden
| | - Björn Hofvander
- Forensic Psychiatry, Department of Clinical Sciences, Lund University, Sweden
| | - Henrik Anckarsäter
- CELAM (Center for Ethics, Law and Mental Health), University of Gothenburg, Gothenburg, Sweden
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Abstract
Objective: To examine gender differences in level and change of cognitive performance in the oldest old while accounting for gender differences in longevity. Method: 574 individuals, aged 80 years and older, from the OCTO Twin Study. Five cognitive domains were administered at five occasions at 2-year intervals. Results: There were no cognitive differences between men and women, with the exception that men showed a steeper rate of decline in semantic memory. This effect was driven by men who had developed dementia and declined at a faster rate than women. Conclusion: Our results support previous findings showing minor to nonexisting gender differences in cognition among nondemented individuals in very old age when taking gender differences in longevity into account.
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Affiliation(s)
| | | | - Boo Johansson
- Department of Psychology, University of Gothenburg, Sweden
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Praetorius M, Thorvaldsson V, Hassing LB, Johansson B. Substantial effects of apolipoprotein E ε4 on memory decline in very old age: longitudinal findings from a population-based sample. Neurobiol Aging 2013; 34:2734-9. [DOI: 10.1016/j.neurobiolaging.2013.06.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2013] [Revised: 06/04/2013] [Accepted: 06/08/2013] [Indexed: 11/26/2022]
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Dahl AK, Fauth EB, Ernsth-Bravell M, Hassing LB, Ram N, Gerstof D. Body mass index, change in body mass index, and survival in old and very old persons. J Am Geriatr Soc 2013; 61:512-8. [PMID: 23452127 DOI: 10.1111/jgs.12158] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To examine how body mass index (BMI) and change in BMI are associated with mortality in old (70-79) and very old (≥80) individuals. DESIGN Pooled data from three multidisciplinary prospective population-based studies: OCTO-twin, Gender, and NONA. SETTING Sweden. PARTICIPANTS Eight hundred eighty-two individuals aged 70 to 95. MEASUREMENTS BMI was calculated from measured height and weight as kg/m(2) . Information about survival status and time of death was obtained from the Swedish Civil Registration System. RESULTS Mortality hazard was 20% lower for the overweight group than the normal-underweight group (relative risk (RR) = 0.80, P = .011), and the mortality hazard for the obese group did not differ significantly from that of the normal-underweight group (RR = 0.93, P = .603), independent of age, education, and multimorbidity. Furthermore, mortality hazard was 65% higher for the BMI loss group than for the BMI stable group (RR = 1.65, P < .001) and 53% higher for the BMI gain group than for the BMI stable group (RR = 1.53, P = .001). Age moderated the BMI change differences. That is, the higher mortality risks associated with BMI loss and gain were less severe in very old age. CONCLUSION Old persons who were overweight had a lower mortality risk than old persons who were of normal weight, even after controlling for weight change and multimorbidity. Persons who increased or decreased in BMI had a greater mortality risk than those who had a stable BMI, particularly those aged 70 to 79. This study lends further support to the belief that the World Health Organization guidelines for BMI are overly restrictive in old age.
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Affiliation(s)
- Anna K Dahl
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Institute of Gerontology, School of Health Sciences, Jönköping University, Jönköping, Sweden
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Hassing LB, Small BJ, von Strauss E, Fratiglioni L, Bäckman L. Mortality-Related Differences and Changes in Episodic Memory Among the Oldest Old: Evidence From a Population-Based Sample of Nonagenarians. Aging, Neuropsychology, and Cognition 2010. [DOI: 10.1076/anec.9.1.11.837] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Hassing LB, Johansson B, Pedersen NL, Nilsson SE, Berg S, McClearn G. Type 2 Diabetes Mellitus and Cognitive Performance in a Population-Based Sample of the Oldest Old: Impact of Comorbid Dementia. Aging, Neuropsychology, and Cognition 2010. [DOI: 10.1076/anec.10.2.99.14458] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Hassing LB, Dahl AK, Pedersen NL, Johansson B. Overweight in midlife is related to lower cognitive function 30 years later: a prospective study with longitudinal assessments. Dement Geriatr Cogn Disord 2010; 29:543-52. [PMID: 20606436 PMCID: PMC3202952 DOI: 10.1159/000314874] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/07/2010] [Indexed: 01/19/2023] Open
Abstract
AIM To examine if the body mass index (BMI) in midlife is related to cognitive function 30 years later in a dementia-free sample. METHODS BMI was reported in 1963 at age 50-60 years, and cognitive abilities were examined 30 years later in a longitudinal design with 5 measurement occasions at 2-year intervals (n = 417). The cognitive abilities examined included tests of long-term memory, short-term memory, speed, verbal and spatial ability. RESULTS Multilevel modeling adjusting for demographic and lifestyle factors, and relevant diseases showed that a higher BMI in midlife predicted lower test performance 30 years later. Significant associations between BMI and level of performance were found in all cognitive abilities; however, a higher midlife BMI was not associated with steeper cognitive decline. CONCLUSION Our results indicate that midlife overweight is related to lower overall cognitive function in old age. The fact that BMI-related effects were noted in mean-level cognitive performance, whereas only one ability showed differences in slopes, suggests that the negative effect of overweight has an onset before the entry into very old age.
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Affiliation(s)
- Linda B. Hassing
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden,*Linda B. Hassing, Department of Psychology, University of Gothenburg, Box 500, SE–405 30 Gothenburg (Sweden), Tel. +46 31 786 4258, Fax +46 31 786 4628, E-Mail
| | - Anna K. Dahl
- Institute of Gerontology, School of Health Sciences, Jönköping University, Jönköping, Sweden
| | - Nancy L. Pedersen
- Department of Medical Epidemiology, The Karolinska Institute, Stockholm, Sweden,Department of Psychology, University of Southern California, Los Angeles, Calif., USA
| | - Boo Johansson
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
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Dahl A, Hassing LB, Fransson E, Berg S, Gatz M, Reynolds CA, Pedersen NL. Being overweight in midlife is associated with lower cognitive ability and steeper cognitive decline in late life. J Gerontol A Biol Sci Med Sci 2010; 65:57-62. [PMID: 19349594 PMCID: PMC2796876 DOI: 10.1093/gerona/glp035] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2008] [Accepted: 01/23/2009] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Although an increasing body of evidence links being overweight in midlife with an increased risk for dementia in late life, no studies have examined the association between being overweight in midlife and cognitive ability in late life. Our aim was to examine the association between being overweight in midlife as measured by body mass index (BMI) and cognitive ability assessed over time. METHODS Participants in the Swedish Adoption/Twin Study Aging were derived from a population-based sample. The participants completed baseline surveys in 1963 or 1973 (mean age 41.6 years, range 25-63 years). The surveys included questions about height, weight, diseases, and lifestyle factors. Beginning in 1986, the same individuals were assessed on neuropsychological tests every 3 years (except in 1995) until 2002. During the study period, 781 individuals who were 50 years and older (60% women) had at least one complete neuropsychological assessment. A composite score of general cognitive ability was derived from the cognitive test battery for each measurement occasion. RESULTS Latent growth curve models adjusted for twinness showed that persons with higher midlife BMI scores had significantly lower general cognitive ability and significantly steeper longitudinal decline than their thinner counterparts. The association did not change substantially when persons who developed dementia during the study period were excluded from the analysis. CONCLUSIONS Higher midlife BMI scores precede lower general cognitive ability and steeper cognitive decline in both men and women. The association does not seem to be mediated by an increased risk for dementia.
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Affiliation(s)
- Anna Dahl
- Institute of Gerontology, School of Health Sciences, Jönköping University, Box 1026, Jönköping 551 11, Sweden.
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Hassing LB, Dahl AK, Thorvaldsson V, Berg S, Gatz M, Pedersen NL, Johansson B. Overweight in midlife and risk of dementia: a 40-year follow-up study. Int J Obes (Lond) 2009; 33:893-8. [PMID: 19506566 DOI: 10.1038/ijo.2009.104] [Citation(s) in RCA: 129] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE This study examines whether overweight in midlife increases dementia risk later in life. METHODS In 1963 body mass index was assessed in 1152 participants of The Swedish Twin Registry, at the age of 45-65 years. These participants were later screened for dementia in a prospective study with up to 40 years follow-up. A total of 312 participants were diagnosed with dementia. RESULTS Logistic regression analyses adjusted for demographic factors, smoking and alcohol habits, indicated that men and women categorized as overweight in their midlife had an elevated risk of dementia (OR=1.59; 95% CI: 1.21-2.07, P=0.002), Alzheimer's disease (OR=1.71; 95% CI: 1.24-2.35, P=0.003), and vascular dementia (OR=1.55; 95% CI: 0.98-2.47, P=0.059). Further adjustments for diabetes and vascular diseases did not substantially affect the associations, except for vascular dementia (OR=1.36; 95% CI: 0.82-2.56, P=0.116), reflecting the significance of diabetes and vascular diseases in the etiology of vascular dementia. There was no significant interaction between overweight and APOE epsilon4 status, indicating that having both risk factors does not have a multiplicative effect with regard to dementia risk. CONCLUSIONS This study gives further support to the notion that overweight in midlife increases later risk of dementia. The risk is increased for both Alzheimer's disease and vascular dementia, and follows the same pattern for men and women.
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Affiliation(s)
- L B Hassing
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden.
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Abstract
The purpose of this study was to examine factors associated with life satisfaction in the oldest-old within a spectrum of psychosocial and health related variables. Scores on the life satisfaction index (LSI-Z) were related to scales and questions regarding, demographics, depression, locus of control, cognitive function, functional capacity (instrumental and personal activities of daily living), self-rated overall health and medically based health, and social network. The sample consisted of 315 participants, aged 80-98 years; (M = 83 years, 66% women). Regression analyses indicated that social network quality, self-rated overall health, sense of being in control of one's life, and depressive symptoms were significantly associated with life satisfaction. There was no gender difference in overall life satisfaction. However, there were different patterns of variables associated with life satisfaction in men and women. Self-rated overall health and depressive symptoms were related to life satisfaction in women, whereas widowhood was significantly associated with lower life satisfaction among men. The results emphasize the need to analyse associates of life satisfaction within a broader context of psychosocial variables and separately for men and women.
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Affiliation(s)
- A I Berg
- Department of Psychology, Göteborg University, Göteborg, Sweden.
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degl' Innocenti A, Hassing LB, Ingelgård A, Kulich KR, Wiklund I. Measuring Treatment Satisfaction. A Review of Randomized Controlled Drug Trials. ACTA ACUST UNITED AC 2004. [DOI: 10.1081/crp-120033980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Hassing LB, Grant MD, Hofer SM, Pedersen NL, Nilsson SE, Berg S, McClearn G, Johansson B. Type 2 diabetes mellitus contributes to cognitive decline in old age: a longitudinal population-based study. J Int Neuropsychol Soc 2004; 10:599-607. [PMID: 15327738 DOI: 10.1017/s1355617704104165] [Citation(s) in RCA: 126] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2003] [Revised: 12/03/2003] [Indexed: 11/07/2022]
Abstract
We examined change in neuropsychological test performance related to type 2 diabetes mellitus across a 6-year interval. A population-based sample of 274 elderly participants (36 with diabetes and 238 without diabetes) was examined at four occasions at a 2-year interval. The participants were 80-93 years of age (M = 82.8 years) and without dementia at baseline. The test battery included tests of speed, visuospatial ability, short-term memory, semantic memory, episodic memory, and the Mini Mental Status Examination. Several models, taking into account diabetes and demographic data, were analyzed using SAS Proc Mixed multilevel modeling. At baseline, there were no significant differences in the neuropsychological tests related to diabetes. The longitudinal analyses, however, showed that diabetes was a significant predictor of decline for many of the tests. These findings points to the conclusion that type 2 diabetes is associated with accelerated cognitive decline in old age that may result in dementia.
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Affiliation(s)
- Linda B Hassing
- Department of Psychology, Göteborg University, Göteborg, Sweden.
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Hassing LB, Hofer SM, Nilsson SE, Berg S, Pedersen NL, McClearn G, Johansson B. Comorbid type 2 diabetes mellitus and hypertension exacerbates cognitive decline: evidence from a longitudinal study. Age Ageing 2004; 33:355-61. [PMID: 15136287 DOI: 10.1093/ageing/afh100] [Citation(s) in RCA: 172] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND diabetes and hypertension are two highly prevalent diseases in the old population. They are highly related such that comorbidity is common. OBJECTIVES to examine (i) the independent impact of the respective diseases on cognitive decline in very old age and (ii) the interactive impact of the two diseases on cognitive decline. SUBJECTS 258 individuals (mean age = 83 years), all non-demented at baseline. Of these, 128 individuals (non-cases) were free from diabetes and hypertension, 92 individuals had a diagnosis of hypertension, 16 had a type 2 diabetes mellitus diagnosis without hypertension, and 22 had comorbid diabetes and hypertension. METHOD a population-based longitudinal study of ageing (The OCTO-Twin Study), including four measurement occasions 2 years apart. The Mini-Mental State Examination was used to measure general cognitive function. Data were analysed using SAS Proc Mixed multilevel modelling. RESULTS longitudinal trajectories indicated a steeper decline in cognitive function related to diabetes but not related to hypertension. However, the results indicated greatest cognitive decline among persons with comorbid diabetes and hypertension. CONCLUSIONS it is concluded that comorbidity of diabetes and hypertension produce a pronounced cognitive decline. This finding emphasises the importance of prevention and treatment of those highly prevalent diseases in the old population.
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Affiliation(s)
- Linda B Hassing
- Department of Psychology, Göteborg University, Göteborg, Sweden.
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Hassing LB, Johansson B, Nilsson SE, Berg S, Pedersen NL, Gatz M, McClearn G. Diabetes mellitus is a risk factor for vascular dementia, but not for Alzheimer's disease: a population-based study of the oldest old. Int Psychogeriatr 2002; 14:239-48. [PMID: 12475085 DOI: 10.1017/s104161020200844x] [Citation(s) in RCA: 121] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The purpose of this study was to examine if Type 2 diabetes mellitus is a risk factor for dementia in very old age, specifically for Alzheimer's disease (AD) and vascular dementia (VaD). METHODS We evaluated the risk of dementia in relation to Type 2 diabetes using a population-based sample of 702 individuals aged 80 years and older (mean age 83 years). A total of 187 persons received a dementia diagnosis. Thirty-one individuals had a diabetes diagnosis prior to onset of the dementia. RESULTS Cox proportional hazard analyses, adjusted for age, gender, education, smoking habits, and circulatory diseases, indicated an elevated risk to develop VaD (relative risk = 2.54, 95% confidence interval 1.354.78) in individuals with diabetes mellitus. No association was found between diabetes and AD. CONCLUSION Type 2 diabetes is selectively related to the different subtypes of dementia. There is no increased risk of AD but more than a twofold risk of VaD in persons with diabetes.
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Affiliation(s)
- Linda B Hassing
- Department of Psychology, Göteborg University, Göteborg, Sweden.
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Abstract
PURPOSE This study describes the Swedish debate on the role of family and state in care of elderly persons. It provides empirical evidence on the shifting balance of family, state, and market in the total panorama of elderly care. DESIGN AND METHODS Secondary analysis of older (1954) and more recent data sources (1994 and 2000) is used to assess living arrangements and care patterns for persons 75 years or older living in the community. RESULTS Total spending on aged adults has stagnated, and institutional care is shrinking in absolute and relative terms, but public Home Help for elders in the community is decreasing even more. Family members increasingly shoulder the bulk of care, but privately purchased care also seems to expand. This study calculates how public and informal care changed between 1994 and 2000: Informal care is estimated to have provided 60% of all care to elders in the community in 1994 and 70% in 2000. IMPLICATIONS The results parallel a crisis of legitimacy of public elderly care in Sweden. They also call into question various metaphors used to describe patterns of care.
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Hassing LB, Johansson B, Berg S, Nilsson SE, Pedersen NL, Hofer SM, McClearn G. Terminal decline and markers of cerebro- and cardiovascular disease: findings from a longitudinal study of the oldest old. J Gerontol B Psychol Sci Soc Sci 2002; 57:P268-76. [PMID: 11983738 DOI: 10.1093/geronb/57.3.p268] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The purpose of this study was to examine the cognition-survival relationship among nondemented individuals in late life. The longitudinal design included three examinations at 2-year intervals. At baseline, 466 individuals (age range = 80-98) were examined. During the 6 years of follow-up, 206 individuals died. Four survival groups were defined on the basis of mortality prior to the subsequent measurement occasion. Tests of cognitive functioning encompassed the domains of crystallized knowledge, inductive reasoning, visuospatial ability, short-term memory, episodic memory, and speed. Significant associations were found between cognitive performance at baseline and subsequent survival. After adjusting for stroke and markers of cardiovascular disease, the authors found that only three out of six cognitive domains remained significant predictors of survival. The longitudinal analyses revealed limited evidence for an accelerated decline prior to death. The main results suggest that level of cognitive performance in late life is associated with proximity to death, that this relationship is longstanding, and that it is partially influenced by compromised cardio- and cerebrovascular functioning.
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Affiliation(s)
- Linda B Hassing
- Institute of Gerontology, University College of Health Sciences, Jönköping, Sweden.
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