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Deeg DJH, van Tilburg T, Visser M, Braam A, Stringa N, Timmermans EJ. Identification of a "Blue Zone" in the Netherlands: A Genetic, Personal, Sociocultural, and Environmental Profile. THE GERONTOLOGIST 2024; 64:gnae132. [PMID: 39269022 PMCID: PMC11500713 DOI: 10.1093/geront/gnae132] [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: 08/05/2023] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES "Blue Zones" (BZs) are regions with exceptionally high numbers of longevous inhabitants. Several factors have been suggested to promote longevity in BZs, but the evidence generally does not meet scientific quality criteria. We aimed to characterize a municipality as a "relative BZ," satisfying 3 criteria: compared to other municipalities, more exceptionally longevous inhabitants, a higher life expectancy, and a more stable population. RESEARCH DESIGN AND METHODS The population-based Longitudinal Aging Study Amsterdam has been ongoing since 1992 in 11 municipalities across the Netherlands with 3- or 4-yearly measurement waves. Using all available waves, we included 39 genetic, personal, sociocultural, and environmental characteristics. RESULTS One municipality satisfied the 3 BZ criteria. In comparison with participants in other municipalities in the same province and other provinces in the Netherlands, BZ-participants more often had a polygenic risk score linked to longevity, smoked less, consumed less alcohol and more fruit, biked more minutes, did more often paid work, practiced singing more often, attached higher importance to religion, and lived in a more walkable and livable environment. In contrast, BZ-participants had a slower walking speed, more depressive symptoms, felt less purpose in life, had a larger waist circumference, walked and did sports less often, consumed less vegetables, and exchanged less instrumental support. Other indicators of their physical and mental health and social connectedness did not substantially differ from non-BZ-participants. DISCUSSION AND IMPLICATIONS Rather than clues to healthy aging, our findings suggest factors conducive to longevity regardless of impaired health.
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Affiliation(s)
- Dorly J H Deeg
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, North-Holland, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, North-Holland, The Netherlands
| | - Theo van Tilburg
- Department of Sociology, Vrije Universiteit, Amsterdam, North-Holland, The Netherlands
| | - Marjolein Visser
- Amsterdam Public Health Research Institute, Amsterdam, North-Holland, The Netherlands
- Department of Health Sciences, Faculty of Science, Vrije Universiteit, Amsterdam, North-Holland, The Netherlands
| | - Arjan Braam
- Department of Humanist Chaplaincy Studies for a Plural Society, University of Humanistic Studies, Utrecht, The Netherlands
- Department of Emergency Psychiatry and Department of Residency Training, Altrecht Mental Health Care, Utrecht, The Netherlands
| | - Najada Stringa
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, North-Holland, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, North-Holland, The Netherlands
| | - Erik J Timmermans
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, North-Holland, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Qi Y, Schaap LA, Schalet BD, Hoogendijk EO, Deeg DJH, Visser M, Koivunen K, Huisman M, van Schoor NM. The development of intrinsic capacity measures for longitudinal research: The Longitudinal Aging Study Amsterdam. Exp Gerontol 2024; 197:112599. [PMID: 39366460 DOI: 10.1016/j.exger.2024.112599] [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: 08/02/2024] [Revised: 09/13/2024] [Accepted: 09/26/2024] [Indexed: 10/06/2024]
Abstract
BACKGROUND The World Health Organization has introduced the construct of intrinsic capacity (IC) as an important component of healthy ageing and overall well-being in older adults The present study aimed to develop domain-specific and composite IC scores and to validate these scores by examining their longitudinal relation with functioning. METHODS We used prospective data on participants aged 57 to over 90 years, with a 10-year follow-up, from the Longitudinal Aging Study Amsterdam, an ongoing cohort study of older Dutch men and women Using a formative, stepwise approach, we identified indicators across the different domains of IC, i.e. vitality, sensory, cognition, psychology, and locomotion, using a combination of unidimensional factor analyses and Partial Least Squares Structural Equation Modelling (PLS-SEM). Next, domain-specific and composite IC scores were generated, and the construct validity (score across age groups) and criterion validity (relationship with change in functional limitations) were assessed. RESULTS The multiple unidimensional factor analyses and PLS-SEM identified a total of 18 indicators, covering the five domains of IC. The mean composite IC score was 70.9 (SD = 0.9) in men and 69.7 (0.8) in women. The domain-specific and composite IC scores all showed good construct validity, with known-group validation results indicating age-related declines. A higher composite IC score was associated with less functional limitations over time (B = 0.20, 95%CI [0.19, 0.22]). CONCLUSION The developed domain-specific IC scores and the composite IC score effectively discriminated age-related declines in IC. Additionally, the composite IC score was longitudinally associated with functional limitations. By creating this comprehensive and reliable tool for tracking IC, we aim to provide valuable insights into the dynamics of ageing and support more effective strategies for promoting health and well-being throughout later life. These scores establish a foundation for future research to track longitudinal changes across various IC domains and relate these changes to key age-related outcomes.
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Affiliation(s)
- Yuwei Qi
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands.
| | - Laura A Schaap
- Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands; Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, the Netherlands
| | - Benjamin D Schalet
- Amsterdam University Medical Centers, Department of Epidemiology and Data Science, the Netherlands; Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Emiel O Hoogendijk
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands; Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands; Department of General Practice, Amsterdam UMC Location Vrije Universiteit Amsterdam, the Netherlands
| | - Dorly J H Deeg
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Kaisa Koivunen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Martijn Huisman
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands; Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands; Department of Sociology, Vrije Universiteit Amsterdam, the Netherlands
| | - Nastasja M van Schoor
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands; Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands
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van de Loo B, Heymans MW, Medlock S, Abu-Hanna A, van der Velde N, van Schoor NM. Retrospective evaluation of the world falls guidelines-algorithm in older adults. Age Ageing 2024; 53:afae229. [PMID: 39424356 PMCID: PMC11488976 DOI: 10.1093/ageing/afae229] [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: 02/22/2024] [Indexed: 10/21/2024] Open
Abstract
BACKGROUND The World Falls Guidelines (WFG) propose an algorithm that classifies patients as low-, intermediate-, and high-risk. We evaluated different operationalizations of the WFG algorithm and compared its predictive performance to other screening tools for falls, namely: the American Geriatrics Society and British Geriatrics Society (AGS/BGS) algorithm, the 3KQ on their own and fall history on its own. METHODS We included data from 1509 adults aged ≥65 years from the population-based Longitudinal Aging Study Amsterdam. The outcome was ≥1 fall during 1-year follow-up, which was ascertained using fall calendars. The screening tools' items were retrospectively operationalized using baseline measures, using proxies where necessary. RESULTS Sensitivity ranged between 30.9-48.0% and specificity ranged between 77.0-88.2%. Operationalizing the algorithm with the 3KQ instead of fall history yielded a higher sensitivity but lower specificity, whereas operationalization with the Clinical Frailty Scale (CFS) classification tree instead of Fried's frailty criteria did not affect predictive performance. Compared to the WFG algorithm, the AGS/BGS algorithm and fall history on its own yielded similar predictive performance, whereas the 3KQ on their own yielded a higher sensitivity but lower specificity. CONCLUSION The WFG algorithm can identify patients at risk of a fall, especially when the 3KQ are included in its operationalization. The CFS and Fried's frailty criteria may be used interchangeably in the algorithm's operationalization. The algorithm performed similarly compared to other screening tools, except for the 3KQ on their own, which have higher sensitivity but lower specificity and lack clinical recommendations per risk category.
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Affiliation(s)
- Bob van de Loo
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, Netherlands
- Amsterdam UMC location University of Amsterdam, Internal Medicine, Section of Geriatric Medicine, Meibergdreef 9, Amsterdam, Netherlands
- Amsterdam Public Health research institute, Aging and Later Life, Meibergdreef 9, Amsterdam, The Netherlands
| | - Martijn W Heymans
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, Netherlands
- Amsterdam Public Health research institute, Aging and Later Life, Meibergdreef 9, Amsterdam, The Netherlands
| | - Stephanie Medlock
- Amsterdam Public Health research institute, Aging and Later Life, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, Netherlands
| | - Ameen Abu-Hanna
- Amsterdam Public Health research institute, Aging and Later Life, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, Netherlands
| | - Nathalie van der Velde
- Amsterdam UMC location University of Amsterdam, Internal Medicine, Section of Geriatric Medicine, Meibergdreef 9, Amsterdam, Netherlands
- Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, Netherlands
| | - Natasja M van Schoor
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, Netherlands
- Amsterdam Public Health research institute, Aging and Later Life, Meibergdreef 9, Amsterdam, The Netherlands
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Mehrabi F, Pomeroy ML, Cudjoe TKM, Jenkins E, Dent E, Hoogendijk EO. The temporal sequence and reciprocal relationships of frailty, social isolation and loneliness in older adults across 21 years. Age Ageing 2024; 53:afae215. [PMID: 39360435 PMCID: PMC11447375 DOI: 10.1093/ageing/afae215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND It is unclear whether social isolation and loneliness may precede frailty status or whether frailty may precipitate social isolation and loneliness. We investigated the reciprocal and temporal sequence of social isolation, loneliness, and frailty among older adults across 21 years. METHODS We used seven waves of the Longitudinal Aging Study Amsterdam from 2302 Dutch older adults (M = 72.6 years, SD = 8.6, 52.1% female) ages 55 or older. Using random intercept cross-lagged panel models, we investigated between- and within-person associations of social isolation and loneliness with frailty. Frailty was measured using the Frailty Index. Loneliness was measured using the 11-item De Jong Gierveld Loneliness Scale. Social isolation was measured using a multi-domain 6-item scale. RESULTS Social isolation and loneliness were weakly correlated across waves. At the between-person level, individuals with higher levels of frailty tended to have higher levels of social isolation but not loneliness. At the within-person level, the cross-lagged paths indicated that earlier frailty status predicted future social isolation and loneliness over time. However, prior social isolation was not associated with subsequent frailty except at time point 5 (T5). Loneliness at specific time points (T1, T4 and T6) predicted greater frailty at later time points (T2, T5 and T7). The results also supported reciprocal and contemporaneous relations between social isolation, loneliness and frailty. CONCLUSIONS Social isolation and loneliness are potential outcomes of frailty. Public health policies and health practitioners should prioritise interventions targeting social connection among older adults with pre-frailty or frailty.
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Affiliation(s)
- Fereshteh Mehrabi
- Department of Psychology, Concordia University, Montreal, Quebec H4B 1R6, Canada
| | - Mary Louise Pomeroy
- Roger and Flo Lipitz Center to Advance Policy in Aging and Disability, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD21205, USA
- Center for Equity in Aging, School of Nursing, Johns Hopkins University, Baltimore, MD21205, USA
| | - Thomas K M Cudjoe
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, Baltimore, MD21205, USA
| | - Emerald Jenkins
- Roger and Flo Lipitz Center to Advance Policy in Aging and Disability, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD21205, USA
| | - Elsa Dent
- Caring Futures Institute, College of Nursing and Allied Health, Flinders University, Adelaide, Australia
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC – location VU University Medical Center, Amsterdam, the Netherlands
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Groos SS, de Wildt KK, van de Loo B, Linn AJ, Medlock S, Shaw KM, Herman EK, Seppala LJ, Ploegmakers KJ, van Schoor NM, van Weert JCM, van der Velde N. Development of the ADFICE_IT clinical decision support system to assist deprescribing of fall-risk increasing drugs: A user-centered design approach. PLoS One 2024; 19:e0297703. [PMID: 39236057 PMCID: PMC11376580 DOI: 10.1371/journal.pone.0297703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 08/20/2024] [Indexed: 09/07/2024] Open
Abstract
INTRODUCTION Deprescribing fall-risk increasing drugs (FRIDs) is promising for reducing the risk of falling in older adults. Applying appropriate deprescribing in practice can be difficult due to the outcome uncertainties associated with stopping FRIDs. The ADFICE_IT intervention addresses this complexity with a clinical decision support system (CDSS) that facilitates optimum deprescribing of FRIDs by using a fall-risk prediction model, aggregation of deprescribing guidelines, and joint medication management. METHODS The development process of the CDSS is described in this paper. Development followed a user-centered design approach in which users and experts were involved throughout each phase. In phase I, a prototype of the CDSS was developed which involved a literature and systematic review, European survey (n = 581), and semi-structured interviews with clinicians (n = 19), as well as the aggregation and testing of deprescribing guidelines and the development of the fall-risk prediction model. In phase II, the feasibility of the CDSS was tested by means of two usability testing rounds with users (n = 11). RESULTS The final CDSS consists of five web pages. A connection between the Electronic Health Record allows for the retrieval of patient data into the CDSS. Key design requirements for the CDSS include easy-to-use features for fast-paced clinical environments, actionable deprescribing recommendations, information transparency, and visualization of the patient's fall-risk estimation. Key elements for the software include a modular architecture, open source, and good security. CONCLUSION The ADFICE_IT CDSS supports physicians in deprescribing FRIDs optimally to prevent falls in older patients. Due to continuous user and expert involvement, each new feedback round led to an improved version of the system. Currently, a cluster-randomized controlled trial with process evaluation at hospitals in the Netherlands is being conducted to test the effect of the CDSS on falls. The trial is registered with ClinicalTrials.gov (date; 7-7-2022, identifier: NCT05449470).
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Affiliation(s)
- Sara S Groos
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Kelly K de Wildt
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Bob van de Loo
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Annemiek J Linn
- Amsterdam School of Communication Research/ASCoR, University of Amsterdam, Amsterdam, the Netherlands
| | - Stephanie Medlock
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Department of Medical Informatics, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Stichting Open Electronics Lab, Maarssen, The Netherlands
| | - Kendrick M Shaw
- Stichting Open Electronics Lab, Maarssen, The Netherlands
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | | | - Lotta J Seppala
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Kim J Ploegmakers
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Julia C M van Weert
- Amsterdam School of Communication Research/ASCoR, University of Amsterdam, Amsterdam, the Netherlands
| | - Nathalie van der Velde
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
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Twait EL, Kamarioti M, Verberk IMW, Teunissen CE, Nooyens ACJ, Monique Verschuren WM, Visser PJ, Huisman M, Kok AAL, Eline Slagboom P, Beekman M, Vojinovic D, Lakenberg N, Arfan Ikram M, Schuurmans IK, Wolters FJ, Moonen JEF, Gerritsen L, van der Flier WM, Geerlings MI. Depressive Symptoms and Plasma Markers of Alzheimer's Disease and Neurodegeneration: A Coordinated Meta-Analysis of 8 Cohort Studies. Am J Geriatr Psychiatry 2024; 32:1141-1153. [PMID: 38553327 DOI: 10.1016/j.jagp.2024.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/22/2024] [Accepted: 03/06/2024] [Indexed: 08/11/2024]
Abstract
BACKGROUND Depressive symptoms are associated with an increased risk of Alzheimer's disease (AD). There has been a recent emergence in plasma biomarkers for AD pathophysiology, such as amyloid-beta (Aβ) and phosphorylated tau (p-tau), as well as for axonal damage (neurofilament light, NfL) and astrocytic activation (glial fibrillary acidic protein, GFAP). Hypothesizing that depressive symptoms may occur along the AD process, we investigated associations between plasma biomarkers of AD with depressive symptoms in individuals without dementia. METHODS A two-stage meta-analysis was performed on 2 clinic-based and 6 population-based cohorts (N = 7210) as part of the Netherlands Consortium of Dementia Cohorts. Plasma markers (Aβ42/40, p-tau181, NfL, and GFAP) were measured using Single Molecular Array (Simoa; Quanterix) assays. Depressive symptoms were measured with validated questionnaires. We estimated the cross-sectional association of each standardized plasma marker (determinants) with standardized depressive symptoms (outcome) using linear regressions, correcting for age, sex, education, and APOE ε4 allele presence, as well as subgrouping by sex and APOE ε4 allele. Effect estimates were entered into a random-effects meta-analysis. RESULTS Mean age of participants was 71 years. The prevalence of clinically relevant depressive symptoms ranged from 1% to 22%. None of the plasma markers were associated with depressive symptoms in the meta-analyses. However, NfL was associated with depressive symptoms only in APOE ε4 carriers (β 0.11; 95% CI: 0.05-0.17). CONCLUSIONS Late-life depressive symptoms did not show an association to plasma biomarkers of AD pathology. However, in APOE ε4 allele carriers, a more profound role of neurodegeneration was suggested with depressive symptoms.
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Affiliation(s)
- Emma L Twait
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; Amsterdam UMC, Location Vrije Universiteit (ELT), Department of General Practice, Amsterdam Public Health, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Maria Kamarioti
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory (IMWV, CET), Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory (IMWV, CET), Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Astrid C J Nooyens
- National Institute for Public Health and the Environment (ACJN, WMMV), Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; National Institute for Public Health and the Environment (ACJN, WMMV), Bilthoven, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands; Department of Psychiatry and Neuropsychology (PJV), School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Martijn Huisman
- Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands; Department of Sociology, Faculty of Social Sciences (MH), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health (MH, AALK), Ageing and Later Life, Amsterdam, The Netherlands
| | - Almar A L Kok
- Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands; Amsterdam Public Health (MH, AALK), Ageing and Later Life, Amsterdam, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Dina Vojinovic
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands; Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands
| | - Nico Lakenberg
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands; Harvard T.H. Chan School of Public Health (MAI), Boston, MA
| | - Isabel K Schuurmans
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands
| | - Frank J Wolters
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands; Department of Radiology & Nuclear Medicine (FJW), Erasmus MC, Rotterdam The Netherlands
| | - Justine E F Moonen
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lotte Gerritsen
- Department of Psychology (LG) Utrecht University, Utrecht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; Amsterdam UMC (MIG), Location University of Amsterdam, Department of General Practice, Amsterdam Public Health, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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7
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Schutter N, Holwerda TJ, Kok AAL, Deeg DJH. Reciprocal associations between depressive symptoms and satisfaction with sexual life in older adults: the roles of gender and importance attached to sexuality. Aging Ment Health 2024:1-10. [PMID: 39177252 DOI: 10.1080/13607863.2024.2392723] [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: 03/28/2024] [Accepted: 08/09/2024] [Indexed: 08/24/2024]
Abstract
OBJECTIVES To gain insight into the longitudinal, reciprocal associations between depressive symptoms and sexual satisfaction as well as the potential moderating roles of gender and perceived importance of sexuality. METHOD We analyzed longitudinal data from 2113 participants of the Longitudinal Ageing Study Amsterdam (LASA) with an initial age range of 54-93 years, using Generalized Estimating Equations (GEE). RESULTS There were no significant associations between baseline depressive symptoms and change in sexual satisfaction, nor between baseline sexual satisfaction and change in depressive symptoms. Gender and perceived importance of sexuality were moderators: in men higher depression scores were associated with a decrease in sexual satisfaction, whereas in women higher depression scores were associated with an increase in sexual satisfaction. In participants for whom sexual life was important, higher depression scores were associated with a decrease in sexual satisfaction. In participants for whom sexual life was not important, higher depression scores were associated with an increase in sexual satisfaction. CONCLUSION The associations between baseline depressive symptoms and change in sexual satisfaction as well as between baseline sexual satisfaction and change in depressive symptoms varied according to gender and importance ascribed to sexuality. Potential explanations might lie in the different roles sexual activity plays in sexual satisfaction in men and women.
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Affiliation(s)
- Natasja Schutter
- Arkin Mental Health Care, Department of Geriatric Psychiatry, Amsterdam, The Netherlands
| | - Tjalling J Holwerda
- Arkin Mental Health Care, Department of Psychiatry, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health programme, Amsterdam, The Netherlands
| | - Almar A L Kok
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health programme, Amsterdam, The Netherlands
- Department of Epidemiology & Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life programme, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology & Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life programme, Amsterdam, The Netherlands
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8
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Deeg DJH, Hoogendijk EO, van Schoor NM, Schaap LA, Lima Passos V. Joint Trajectories of Performance-Based and Self-Reported Physical Functioning in Older Adults: A 20-Year Longitudinal Study in the Netherlands. J Aging Health 2024:8982643241273298. [PMID: 39167684 DOI: 10.1177/08982643241273298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
BACKGROUND The well-known disablement process has been conceptualized as a series of transitions between progressive states of functional decline. We studied joint patterns of change within disablement states defined as walking speed, grip strength, and self-reported disability. METHODS 1702 participants aged 65 and over were included from the Longitudinal Aging Study Amsterdam, spanning seven waves over 20 years (1996-2016). Group-based multi-trajectory modeling yielded trajectory clusters (TCs) of different patterns of change, further characterized by baseline sociodemographic characteristics, physical and cognitive health, and survival rate. RESULTS Five TCs were identified, distinguished by increasing baseline age. Walking speed and disability showed generally concomitant trajectories. Women had poorer trajectories in grip strength than men, but not in walking speed and disability. Poor physical health distinguished especially the poorest, and cognitive impairment distinguished especially the one-before-poorest from the better TCs. DISCUSSION The findings suggest that the disablement states are not generally distinct or sequential.
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Affiliation(s)
- Dorly J H Deeg
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute/Ageing and Later Life Program, Amsterdam University Medical Centers - Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute/Ageing and Later Life Program, Amsterdam University Medical Centers - Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute/Ageing and Later Life Program, Amsterdam University Medical Centers - Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Laura A Schaap
- Faculty of Science, Department of Health Sciences, Amsterdam Public Health Research Institute/Ageing and Later Life program, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Valéria Lima Passos
- Maastricht University, Faculty of Health, Medicine and Life Sciences, Department of Methodology and Statistics, CAPHRI Care and Public Health Research Institute, School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons, Dublin, Ireland
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9
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Gardeniers MKM, Huisman M, Meijboom EJ, Hoogendijk EO, Broese van Groenou MI. Transitions between care networks: a prospective study among older adults in the Netherlands. Eur J Ageing 2024; 21:22. [PMID: 39138707 PMCID: PMC11322471 DOI: 10.1007/s10433-024-00817-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2024] [Indexed: 08/15/2024] Open
Abstract
As health impairment increases, older adults utilize care from different types of caregivers, but little is known about changes in the composition of care networks. We mapped the transitions between different care networks to gain insight into which people develop care networks that include informal, privately and publicly paid care. We used three waves (2012-2015-2018) of the Longitudinal Aging Study Amsterdam with 1413 Dutch community-dwelling adults, aged 64-100. Network types were identified using six types of caregivers: (1) co-resident, (2) non-co-resident children, (3) other kin, (4) neighbours/friends/acquaintances, (5) publicly paid, (6) privately paid, in a latent transition analysis with mortality and moving to a care facility as missing states. Five types of care networks were identified: (1) no care, (2) privately paid, (3) mixed informal, (4) mixed publicly paid, (5) co-resident. The co-resident network was the most unstable and had a high transition rate to nursing homes. Participants from the privately paid care network often transitioned to a mixed informal network and rarely transitioned to a mixed publicly paid network. Transitions out of the no-care network were mostly to the privately paid network. The two mixed care networks were the most stable. Transitions appeared to be most triggered by deteriorating health. Transitions to institutional care were most likely in the mixed informal, mixed publicly paid and the co-resident network. Thus, these networks appear to require additional support to facilitate ageing in place.
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Affiliation(s)
- Maura K M Gardeniers
- Department of Sociology, Vrije Universiteit Amsterdam, De Boelelaan, 1081, Amsterdam, The Netherlands.
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Erik Jan Meijboom
- Department of Sociology, Vrije Universiteit Amsterdam, De Boelelaan, 1081, Amsterdam, The Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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10
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van Beek SW, Wijnhoven HA, Visser M. The association between the 'at risk of developing undernutrition' category of the Short Nutritional Assessment Questionnaire 65+ and incident undernutrition in community-dwelling older adults. Clin Nutr ESPEN 2024; 62:137-143. [PMID: 38901935 DOI: 10.1016/j.clnesp.2024.05.007] [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: 01/12/2024] [Revised: 05/03/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND & AIMS Screening tools like the Short Nutritional Assessment Questionnaire 65+ (SNAQ65+) have been developed for the early recognition of undernutrition in older adults. The SNAQ65+ screens for being undernourished (red), being 'at risk of developing undernutrition' (i.e. 'at risk', orange), or 'not at risk' (green). This study investigated whether community-dwelling older adults 'at risk' (orange) are more likely to develop undernutrition during a 3-year follow-up compared to those 'not at risk' (green). METHODS Prospective data from a Longitudinal Aging Study were used. A total of 5461 observations, using multiple 3-year waves of participants aged ≥65 years with an orange or green baseline score were included. Logistic mixed models were used to assess the association with four indicators of incident undernutrition at 3-year follow-up: (1) red SNAQ65+ score (mid upper arm circumference (MUAC) < 25 cm and/or ≥4 kg self-reported unintended weight loss in 6 months); (2) MUAC <25 cm; (3) ≥4 kg self-reported unintended weight loss in 6 months; and (4) ≥10% objectively measured weight loss in 3 years. RESULTS There were 53.1% female participants across waves, with a mean age of 74.2 (SD 6.1) years. Overall, 6.2% were 'at risk of developing undernutrition' (orange) at baseline. The incidence rates of undernutrition based on a red SNAQ65+ score, MUAC <25 cm, ≥4 kg self-reported unintended weight loss, and ≥10% measured weight loss were 10.4%, 2.9%, 6.4%, and 5.4%, respectively. Those 'at risk' (orange) had a higher odds ratio of incident undernutrition based on these four indicators than those 'not at risk' (green) (respective odds ratio's: 2.51 (95%CI 1.74-3.62); 2.16 (95%CI 1.11-4.20); 2.43 (95%CI 1.61-3.65); and 2.08 (95%CI 1.28-3.37)). CONCLUSION Community-dwelling older adults screened to be 'at risk of developing undernutrition' (orange) with the SNAQ65+ have a more than two-fold higher odds ratio of developing undernutrition during a 3-year follow-up compared to those 'not at risk' (green).
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Affiliation(s)
- S W van Beek
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.
| | - H A Wijnhoven
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.
| | - M Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands.
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11
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Swinkels JC, Abbing J, Broese van Groenou MI. Why is the composition of older adults' care network associated with psychological wellbeing: an application of the self-determination theory. Aging Ment Health 2024:1-9. [PMID: 38958434 DOI: 10.1080/13607863.2024.2373405] [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: 01/09/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVES Older care recipients have different types of care networks, varying from spouse-only to large mixed care networks, that add to different levels of wellbeing. Applying Self-Determination Theory (SDT) to the care context, we argue that the care network composition may foster or hamper the three basic needs for wellbeing: relatedness, autonomy and competence. METHOD Data are from ten observations between 1992 and 2022 of the Longitudinal Aging Study Amsterdam (N = 18,434 observations from 4,837 older Dutch adults). Five care network types are used: no care, partner, informal, formal or privately paid care. Mixed-hybrid-multilevel regression analysis of depressive symptoms as measure of wellbeing is applied on care network type and loneliness, mastery and care sufficiency as indicators of the three basic needs for wellbeing. RESULTS Receiving care from a partner care network is, compared to the formal care network, the most negatively associated with depressive symptoms, followed by informal care and privately paid care. Differences in care network types existed in loneliness and care sufficiency, but not in mastery, and in part explained the association between care network types and depressive symptoms. Results of between and within effects are comparable. CONCLUSION Using a rich data set and advanced methodology support the hypotheses that formal care networks hamper wellbeing due to insufficient care and increased loneliness, in particular compared to partner and informal care. The role of mastery was less important, possibly because it does not measure care related level of control.
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Affiliation(s)
- J C Swinkels
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - J Abbing
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - M I Broese van Groenou
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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12
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Wenzler AN, van de Loo B, van der Velde N, van Schoor NM. The Effect of Genetic Variations in the Vitamin D Receptor Gene on the Course of Depressive Symptoms. J Nutr 2024; 154:2255-2263. [PMID: 38692355 DOI: 10.1016/j.tjnut.2024.04.030] [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: 01/25/2024] [Revised: 04/03/2024] [Accepted: 04/25/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Evidence on the association between single nucleotide polymorphisms (SNPs) in the vitamin D receptor (VDR) and depressive symptoms is inconclusive. OBJECTIVES The primary aim of the study was to investigate the association between SNPs in the VDR gene and depressive symptoms. METHODS In a sample of older adults from the Longitudinal Ageing Study Amsterdam (n = 922), depressive symptoms were assessed using the Centre for Epidemiological Studies Depression scale (CES-D scale) at baseline and after 3, 6, and 10 y of follow-up. Blood samples for SNP and serum 25-hydroxyvitamin D3 (25(OH)D3) determination were obtained at baseline. The association between 13 SNPs in the VDR gene and the course of depressive symptoms were evaluated using linear mixed models. The interaction between SNPs and serum 25(OH)D3 in relation to depressive symptoms was evaluated using multiple linear regression. RESULTS No SNPs were associated with the course of depressive symptoms. Significant interactions between serum 25(OH)D3 and SNPs in the VDR gene were found. Stratified analysis revealed that within the GG genotype strata, 10 nmol/L higher serum 25(OH)D3 was associated with 0.27 (95% CI: -0.50, -0.04) and 0.23 (95% CI: -0.48, 0.02) lower scores on the CES-D scale for Cdx-2 and 1b-G-886A, respectively. This association was not found in persons having the GA or AA genotype. CONCLUSIONS No SNPs are associated with the course of depressive symptoms. Stratified analysis shows that the effect of serum 25(OH)D3 concentrations on depressive symptoms is different among genotypes of Cdx-2 and 1b-G-886A. Future research should elucidate on the function of Cdx-2 and 1b-G-886A to describe their effect.
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Affiliation(s)
- Ana Neeltje Wenzler
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science Department, Amsterdam, The Netherlands.
| | - Bob van de Loo
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science Department, Amsterdam, The Netherlands; Amsterdam UMC location University of Amsterdam, Internal Medicine, Section of Geriatric Medicine Department, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Ageing and Later Life Department, Amsterdam, The Netherlands
| | - Natalie van der Velde
- Amsterdam UMC location University of Amsterdam, Internal Medicine, Section of Geriatric Medicine Department, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Ageing and Later Life Department, Amsterdam, The Netherlands
| | - Natasja M van Schoor
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science Department, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Ageing and Later Life Department, Amsterdam, The Netherlands
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13
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Schaap LA, Sialino LD, de la Court F, van Oostrom SH, Picavet HSJ, Verschuren WMM, Visser M, Wijnhoven HAH. Self-Rated Health among Older Adults: Longitudinal Analyses Examining Sex Differences across Different Birth Cohorts and Educational Levels. Gerontology 2024; 70:962-969. [PMID: 38885629 PMCID: PMC11373579 DOI: 10.1159/000539759] [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: 09/08/2023] [Accepted: 05/23/2024] [Indexed: 06/20/2024] Open
Abstract
INTRODUCTION Given the known female disadvantage in physical and mental health, this study aimed to investigate sex differences in self-rated health (SRH) among older adults, considering the longitudinal course by age, birth cohort, and educational level. METHODS Data from birth cohort 1911-1937 with baseline age 55-81 years (n = 3,107) and birth cohort 1938-1947 with baseline age 55-65 years (n = 1,002) from the Longitudinal Aging Study Amsterdam (LASA) were used. Mixed model analyses were used to examine sex differences in SRH (RAND General Health Perception Questionnaire [RAND-GHPQ], range 0-16) over the age course, testing for effect modification by the birth cohort and educational level (low, middle, high). RESULTS For both sexes, a decline in SRH was seen with increasing age. Over the age course, there was no significant sex difference in SRH within the older (1911-1937) birth cohort (0.13 lower score on SRH for women compared to men, 95% CI: -0.35 to 0.09) and only a small sex difference in the more recent (1938-1947) birth cohort (0.35 lower score on SRH for women compared to men [95% CI: -0.69 to -0.02], p = 0.04). There was no significant cohort difference in the size of the sex difference (p = 0.279). Those with a higher level of education reported a higher SRH, but between educational levels, there was no significant difference in the size of the sex difference in SRH. DISCUSSION In this study, no relevant sex difference in SRH over the age course was observed among older adults. Future research on SRH trajectories by sex during aging should take health-related, cognitive, psychosocial, and behavioral factors into account.
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Affiliation(s)
- Laura A Schaap
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Lena D Sialino
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Center for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Feline de la Court
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sandra H van Oostrom
- Center for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - H Susan J Picavet
- Center for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Center for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht, The Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hanneke A H Wijnhoven
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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14
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Scheufele P, Rappl A, Visser M, Kiesswetter E, Volkert D. Dietary characteristics of community-dwelling older adults with poor appetite: a cross-sectional analysis. Age Ageing 2024; 53:ii4-ii12. [PMID: 38745488 PMCID: PMC11094405 DOI: 10.1093/ageing/afae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Indexed: 05/16/2024] Open
Abstract
RATIONALE Poor appetite is considered a key factor in the development of malnutrition, a link that can be explained by alterations in dietary intake. Given the limited data on dietary characteristics in community-dwelling older adults with poor appetite, the present study aimed to examine whether poor appetite is associated with lower nutrient intake and more unfavourable food choices. METHODS In 569 participants of the Longitudinal Aging Study Amsterdam aged ≥70 years appetite was assessed using the Simplified Nutritional Appetite Questionnaire and dichotomised into normal (>14) and poor (≤14). Intake of energy, 19 nutrients, 15 food groups, the Dutch Healthy Diet Index 2015 (DHD15) and Mediterranean Diet Score (MDS) were calculated from a food frequency questionnaire. Dietary differences between appetite groups were examined using Mann-Whitney U test and binary logistic regression adjusted for potential confounders. RESULTS Mean age was 78 ± 6 years and 52% were female. Appetite was poor in 12.5% of participants. Energy intake was 1951 (median; quartiles 1-3: 1,653-2,384) kcal/day with no difference between appetite groups. Poor appetite was associated with lower intake of protein (OR 0.948, 95%CI 0.922-0.973), folate (0.981, 0.973-0.989), zinc (0.619, 0.454-0.846), vegetables (0.988, 0.982-0.994) and lower scores of DHD15 (0.964, 0.945-0.983) and MDS (0.904, 0.850-0.961), as well as higher intake of carbohydrates (1.015, 1.006-1.023), and vitamins B2 (4.577, 1.650-12.694) and C (1.013, 1.005-1.021). CONCLUSIONS Community-dwelling older adults with poor appetite showed poorer diet quality with a lower intake of protein, folate, zinc and vegetables, compared with those reporting normal appetite and should be advised accordingly.
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Affiliation(s)
- Pia Scheufele
- Institute for Biomedicine of Ageing, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Anja Rappl
- Institute of Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Marjolein Visser
- Department of Health Sciences, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eva Kiesswetter
- Institute for Biomedicine of Ageing, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
- Institute for Evidence in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Dorothee Volkert
- Institute for Biomedicine of Ageing, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
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15
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van Schoor NM, de Jongh RT, Lips P, Deeg DJH, Kok AAL. Long-term trajectories of peak expiratory flow rate in older men and women show linear decline mainly determined by baseline levels. Aging Clin Exp Res 2024; 36:93. [PMID: 38627297 PMCID: PMC11021284 DOI: 10.1007/s40520-024-02735-5] [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: 10/02/2023] [Accepted: 03/11/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Peak expiratory flow rate (PEFR) predicts mortality and other negative health outcomes. However, little evidence exists on how PEFR changes with ageing and how trajectories of change differ among older people. AIMS To identify trajectories of PEFR in older men and women, and to study characteristics associated with these trajectories. METHODS Data from the Longitudinal Aging Study Amsterdam were used, an ongoing cohort study in a representative sample of Dutch older men and women. PEFR was assessed using the Mini-Wright peak flow meter across a 13-year follow-up in 991 men and 1107 women. Trajectories were analyzed using Latent Class Growth Analysis. RESULTS Mean age was 72.5 (SD 8.4) in men and 72.4 (SD 8.4) in women. In men, three declining trajectories were identified, i.e. high, intermediate and low, with prevalences of 30%, 46% and 24%, respectively. In women, two declining trajectories were identified, i.e. high and low, with prevalences of 62 and 38%. All trajectories showed linear decline and differed mostly with regard to their intercept. Significant differences between trajectories with regard to baseline demographic, health and lifestyle characteristics were observed, e.g., men and women in the low PEFR trajectory were older, had more chronic diseases, and were more often smoker. DISCUSSION AND CONCLUSIONS Trajectories in both men and women differ mainly in baseline level of PEFR and not in rate of decline over time. Therefore, one PEFR measurement might be sufficient to give an indication of the trajectory that an older adult is likely to follow.
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Affiliation(s)
- Natasja M van Schoor
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
- Aging & Later Life, Amsterdam Public Health Research Institute, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Renate T de Jongh
- Department of Endocrinology and Metabolism, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Paul Lips
- Department of Endocrinology and Metabolism, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Aging & Later Life, Amsterdam Public Health Research Institute, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Almar A L Kok
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Aging & Later Life, Amsterdam Public Health Research Institute, De Boelelaan 1117, Amsterdam, The Netherlands
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16
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ten Kate RLF, Fokkema T, van Tilburg TG. Gender Differences in Social Embeddedness Determinants of Loneliness Among Moroccan and Turkish Older Migrants. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbad177. [PMID: 38109439 PMCID: PMC10873824 DOI: 10.1093/geronb/gbad177] [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: 09/28/2022] [Indexed: 12/20/2023] Open
Abstract
OBJECTIVES Moroccan and Turkish migrants residing in Northwestern Europe have high loneliness levels. This study examines gender differences in loneliness within this migrant population. The migrants have gender-segregated social roles at home and in public, which might lead to gender differences in what aspects of social relationships can explain variation in loneliness. METHODS Respondents are from the Longitudinal Aging Study Amsterdam with 446 first-generation Moroccan and Turkish migrants in the Netherlands, aged between 55 and 66 years. We use interaction effects to test for gender differences in determinants of loneliness. RESULTS Men and women have a similar, moderate level of loneliness. Having a spouse and receiving care from children are more strongly related with lower loneliness levels in men than in women. Coethnic ties play an equally important role for men and women. In men, frequent mosque attendance is related with greater loneliness, but not in women. DISCUSSION Family ties are more protective against loneliness for older men than for older women, possibly indicating that migrant women's expectations regarding family go above and beyond having a spouse, receiving intergenerational care, or having frequent contact with children. In addition, migrant older men's higher expectations regarding a public social life could make their social life in the Netherlands less fulfilling, resulting in greater loneliness.
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Affiliation(s)
- Rowan L F ten Kate
- Department of Sociology, University of Groningen, Groningen, The Netherlands
- Department of Sociology, University of Utrecht, Utrecht, The Netherlands
| | - Tineke Fokkema
- Netherlands Interdisciplinary Demographic Institute (NIDI)-KNAW/University of Groningen, The Hague, The Netherlands
- Department of Public Administration and Sociology, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Theo G van Tilburg
- Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Wijnhoven HAH, Kok AAL, Schaap LA, Hoekstra T, van Stralen MM, Twisk JWR, Visser M. The associations between sleep quality, mood, pain and appetite in community dwelling older adults: a daily experience study. J Nutr Health Aging 2024; 28:100028. [PMID: 38388106 DOI: 10.1016/j.jnha.2023.100028] [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: 09/29/2023] [Accepted: 11/29/2023] [Indexed: 02/24/2024]
Abstract
OBJECTIVES To investigate the daily life experiences of sleep, mood, and pain in relation to appetite in community-dwelling older adults aged 75 years and older, stratified by sex. DESIGN Existing data from a daily experience study embedded in the Longitudinal Aging Study Amsterdam (LASA) among the oldest-old (≥75 years). SETTING LASA is an ongoing cohort study of a nationally representative sample of older adults aged ≥55 years from three culturally distinct regions in the Netherlands. PARTICIPANTS 434 community-dwelling older adults aged ≥75 years. MEASUREMENTS Participants filled-out a one-week diary on daily experience of pain, mood, last night sleep (10-point Likert scale), and appetite (5-point Likert scale) on five measurement occasions between 2016 and 2021. (Hybrid) linear mixed models were used to investigate overall, within-subject and between-subject association between mood, sleep, and pain (independent variables) and appetite (dependent variable), while correcting between-subject associations for season, age, educational level, partner status, body mass index, alcohol consumption, physical activity level, smoking status, chronic diseases and use of nervous system medication, stratified by sex. RESULTS Averaged over all days, males reported a poor appetite on 12% of the days and females on 19% of the days. Statistically significant between-subject associations with a poorer appetite were found for lower mood (unstandardized b = 0.084 [95% CI 0.043-0.126] (males), (b = 0.126 [95% CI 0.082-0.170] (females)), poorer sleep (b = 0.045 [95% CI 0.007-0.083] (males), (b = 0.51 [95% CI 0.017-0.085] (females)) and more severe pain in males only (b = 0.026 [95% CI 0.002-0.051]). Except for pain, within-subject associations were somewhat weaker: mood: b = 0.038 [95% CI 0.016-0.060] (males), (b = 0.082 [95% CI 0.061-0.104] (females)); sleep: b = 0.029 [95% CI 0.008-0.050] (males), (b = 0.15 [95% CI 0.005-0.025] (females)); and pain (b = 0.032 [95% CI 0.004-0.059] (males)). CONCLUSIONS This study found that poor sleep, low mood (more strongly in females) and more severe pain (males only) are associated with poor appetite in older adults on a daily level both within and between persons. Sex differences in factors related to poor appetite should be considered in future research.
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Affiliation(s)
- Hanneke A H Wijnhoven
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Almar A L Kok
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Methodology Programme, Amsterdam UMC, Location VU University Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, Amsterdam Public Health Research Institute, Aging & Later Life Programme, Amsterdam UMC, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Laura A Schaap
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Trynke Hoekstra
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maartje M van Stralen
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Methodology Programme, Amsterdam UMC, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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18
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Huider F, Milaneschi Y, Hottenga JJ, Bot M, Rietman ML, Kok AAL, Galesloot TE, 't Hart LM, Rutters F, Blom MT, Rhebergen D, Visser M, Brouwer I, Feskens E, Hartman CA, Oldehinkel AJ, de Geus EJC, Kiemeney LA, Huisman M, Picavet HSJ, Verschuren WMM, van Loo HM, Penninx BWJH, Boomsma DI. Genomics Research of Lifetime Depression in the Netherlands: The BIObanks Netherlands Internet Collaboration (BIONIC) Project. Twin Res Hum Genet 2024; 27:1-11. [PMID: 38497097 DOI: 10.1017/thg.2024.4] [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: 03/19/2024]
Abstract
In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) lifetime MDD diagnosis in 132,850 Dutch individuals. Currently, N = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data. We initiated this project because the complex genetic basis of MDD requires large population-wide studies with uniform in-depth phenotyping. For standardized phenotyping we developed the LIDAS (LIfetime Depression Assessment Survey), which then was used to measure MDD in 11 Dutch cohorts. Data from these cohorts were combined with diagnostic interview depression data from 5 clinical cohorts to create a dataset of N = 29,650 lifetime MDD cases (22%) meeting DSM-5 criteria and 94,300 screened controls. In addition, genomewide genotype data from the cohorts were assembled into a genomewide association study (GWAS) dataset of N = 66,684 Dutch individuals (25.3% cases). Phenotype data include DSM-5-based MDD diagnoses, sociodemographic variables, information on lifestyle and BMI, characteristics of depressive symptoms and episodes, and psychiatric diagnosis and treatment history. We describe the establishment and harmonization of the BIONIC phenotype and GWAS datasets and provide an overview of the available information and sample characteristics. Our next step is the GWAS of lifetime MDD in the Netherlands, with future plans including fine-grained genetic analyses of depression characteristics, international collaborations and multi-omics studies.
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Affiliation(s)
- Floris Huider
- Department of Biological Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
| | - Mariska Bot
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
| | - M Liset Rietman
- Center for Prevention, Lifestyle and Health, Dutch National Institute for Public Health and the Environment, 3721 Bilthoven, the Netherlands
| | - Almar A L Kok
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit, 1081 Amsterdam, the Netherlands
| | | | | | | | | | - Didi Rhebergen
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
- Mental health Institute GGZ Centraal, Amersfoort, the Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
| | - Ingeborg Brouwer
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
| | - Edith Feskens
- Division of Human Nutrition and Health, Wageningen University & Research, 6700 Wageningen, the Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, 9713 Groningen, the Netherlands
| | - Albertine J Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, 9713 Groningen, the Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
| | | | - Martijn Huisman
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit, 1081 Amsterdam, the Netherlands
- Department of Sociology, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
| | - H Susan J Picavet
- Center for Prevention, Lifestyle and Health, Dutch National Institute for Public Health and the Environment, 3721 Bilthoven, the Netherlands
| | - W M Monique Verschuren
- Center for Prevention, Lifestyle and Health, Dutch National Institute for Public Health and the Environment, 3721 Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 Utrecht, the Netherlands
| | - Hanna M van Loo
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, 9713 Groningen, the Netherlands
| | - Brenda W J H Penninx
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, 1105 Amsterdam, the Netherlands
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19
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Sialino LD, Wijnhoven HAH, van Oostrom SH, Picavet HSJ, Visser M, Schaap LA. The sex difference in self-rated health among older Turkish and Moroccan migrants in the Netherlands: an exploratory study of contributing determinants. BMC Public Health 2024; 24:248. [PMID: 38254057 PMCID: PMC10801924 DOI: 10.1186/s12889-023-17479-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 12/13/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Although being a woman and having a migration background are strong predictors of poor self-rated health among (older) adults, research on the sex difference in self-rated health among (older) migrants remains limited. This study therefore aims to investigate this topic and explore the contributing role of determinants of self-rated health. METHODS Cross-sectional data from 360 Turkish-Dutch and Moroccan-Dutch adults aged 55-65 as part of the Longitudinal Aging Study Amsterdam (LASA) were used. Self-rated health (good versus poor) was measured by a single item question. Univariate age-adjusted logistic regression analysis was used to investigate the sex difference in self-rated health and the contribution of sex differences in sensitivity (strength of the association) and/or exposure (prevalence) to socio-demographic, social, lifestyle or health-related determinants of self-rated health. RESULTS Women had a 0.53 times lower odds (95%CI:0.40-0.82, p = 0.004) on good self-rated health compared to men. Women more often having a lower education level, living alone and having a higher prevalence of depressive symptoms, chronic diseases and especially functional limitations contributed to the lower self-rated health among women. In contrast, men were more sensitive to the impact of memory complaints, depressive symptoms, visual difficulties and functional limitations. CONCLUSIONS Older Turkish-Dutch and Moroccan-Dutch women have a significant lower self-rated health compared to men. Women having a higher exposure to both socio-demographic and health-related determinants of self-rated health, which contributed to the sex difference. Future research should take these differences in self-rated health and determinants between women and men into account when investigating health among older migrants.
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Affiliation(s)
- Lena D Sialino
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - H A H Wijnhoven
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - S H van Oostrom
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - H S J Picavet
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - M Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - L A Schaap
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
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20
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Jaarsma E, Nooyens A, Kok AAL, Köhler S, van Boxtel M, Verschuren WMM, Huisman M. Modifiable Risk Factors for Accelerated Decline in Processing Speed: Results from Three Dutch Population Cohorts. J Prev Alzheimers Dis 2024; 11:108-116. [PMID: 38230723 PMCID: PMC10994989 DOI: 10.14283/jpad.2023.64] [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: 02/06/2023] [Accepted: 04/20/2023] [Indexed: 01/18/2024]
Abstract
BACKGROUND Several lifestyle, cardiovascular and psychosocial factors are associated with risk of cognitive decline and dementia. We studied the independent associations of a broad set of modifiable risk factors with decline in processing speed in three large population-based cohorts with up to 23 years of follow-up. METHODS We used data of 9,666 participants from the Doetinchem Cohort Study, the Longitudinal Aging Study Amsterdam, and the Maastricht Aging Study. Decline in processing speed was measured with the letter digit substitution task or the alphabet coding task and modeled using quadratic latent growth curves. Associations of modifiable risk factors with level and rate of decline in processing speed were investigated by estimating associations with level of processing speed at different centering ages. RESULTS Latent growth curves showed that decline in processing speed accelerated with age. Smoking, not drinking alcohol and depressive symptoms were associated with a lower level of processing speed in all cohorts. In two of the cohorts, more physical activity, drinking more than two glasses of alcohol per day, higher BMI and diabetes were associated with a lower level of processing speed. Depressive symptoms and diabetes were also associated with faster decline in processing speed. CONCLUSION Several modifiable risk factors are associated with the level of processing speed in older age, while few are also related to the rate of decline.
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Affiliation(s)
- E Jaarsma
- Almar Kok Amsterdam UMC Locatie De Boelelaan: Amsterdam UMC Locatie VUmc, The Netherlands,
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21
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van der Linden M, Olthof MR, Wijnhoven HAH. The Association between Caffeine Consumption from Coffee and Tea and Sleep Health in Male and Female Older Adults: A Cross-Sectional Study. Nutrients 2023; 16:131. [PMID: 38201961 PMCID: PMC10780846 DOI: 10.3390/nu16010131] [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: 11/29/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Poor sleep health is common in older adults and is associated with negative health outcomes. However, the relationship between caffeine consumption and sleep health at an older age is poorly understood. This study investigated the association between caffeine consumption and sleep health in community-dwelling older males and females in The Netherlands. Cross-sectional analyses were performed using data from 1256 participants aged 61-101 years from the Longitudinal Ageing Study Amsterdam. Self-reported questions assessed sleep disturbances (including sleep latency, continuity, and early awakening), sleep duration, and perceived sleep quality. Caffeine consumption was determined with questions about frequency, quantity, and type of coffee and tea consumption. Logistic and linear regression models were used, controlling for potential confounders, and interaction by sex and age was tested. Caffeine consumption showed significant interactions with sex (p < 0.005) in association with sleep health outcomes. Older females who abstained from caffeine consumption reported more sleep disturbances (β = 0.64 [95%CI 0.13; 1.15]) and had greater odds of short sleep duration (<7 h/day) (OR = 2.26 [95% CI 1.22; 4.20]) compared to those who consumed caffeine. No associations were observed for long sleep duration (>8 h/day) and perceived sleep quality. No associations were observed in older males. Caffeine abstinence was associated with more sleep disturbances and short sleep duration in older females, but not in males. The observed association in older females may reflect reverse causation, suggesting that females may have different motivations for discontinuing caffeine consumption than males.
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Affiliation(s)
- Mette van der Linden
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Margreet R. Olthof
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Hanneke A. H. Wijnhoven
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
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22
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Rehnberg J, Huisman M, Fors S, Marseglia A, Kok A. The Association between Education and Cognitive Performance Varies at Different Levels of Cognitive Performance: A Quantile Regression Approach. Gerontology 2023; 70:318-326. [PMID: 38086341 PMCID: PMC10911170 DOI: 10.1159/000535717] [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: 05/25/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024] Open
Abstract
INTRODUCTION Educational differences in cognitive performance among older adults are well documented. Studies that explore this association typically estimate a single average effect of education on cognitive performance. We argue that the processes that contribute to the association between education and cognitive performance are unlikely to have equal effects at all levels of cognitive performance. In this study, we employ an analytical approach that enables us to go beyond averages to examine the association between education and five measures of global and domain-specific cognitive performance across the outcome distributions. METHODS This cross-sectional study included 1,780 older adults aged 58-68 years from the Longitudinal Aging Study Amsterdam. Conditional quantile regression was used to examine variation across the outcome distribution. Cognitive outcomes included Mini-Mental State Examination (MMSE) score, crystallized intelligence, information processing speed, episodic memory, and a composite score of global cognitive performance. RESULTS The results showed that the associations between education and different cognitive measures varied across the outcome distributions. Specifically, we found that education had a stronger association with crystallized intelligence, MMSE, and a composite cognitive performance measure in the lower tail of performance distributions. The associations between education and information processing speed and episodic memory were uniform across the outcome distributions. CONCLUSION Larger associations between education and some domains of cognitive performance in the lower tail of the performance distributions imply that inequalities are primarily generated among individuals with lower performance rather than among average and high performers. Additionally, the varying associations across some of the outcome distributions indicate that estimating a single average effect through standard regression methods may overlook variations in cognitive performance between educational groups. Future studies should consider heterogeneity across the outcome distribution.
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Affiliation(s)
- Johan Rehnberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
- Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stefan Fors
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Almar Kok
- Department of Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
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23
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Stringa N, van Schoor NM, Hoogendijk EO, Milaneschi Y, Huisman M. The phenotypic and genotypic association of grip strength with frailty, physical performance and functional limitations over time in older adults. Age Ageing 2023; 52:afad189. [PMID: 37847794 PMCID: PMC10581539 DOI: 10.1093/ageing/afad189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Indexed: 10/19/2023] Open
Abstract
OBJECTIVES To replicate the phenotypic associations of grip strength with frailty, physical performance and functional limitations in older adults for longer follow-up periods and to examine whether these associations are due to shared genetic factors. METHODS In total 2,262 participants 55 years and older with follow-up data up to 23 years (Nobservations = 8,262) from the Longitudinal Aging Study Amsterdam were included. Weighted polygenic risk scores for grip strength (PRS-GS) were built using the genome-wide meta-analysis results from UK Biobank as reference. Grip strength was measured two times on each hand using a dynamometer. Frailty index (FI) and frailty phenotype were operationalised following standard procedures. Performance tests included a timed walk test, a repeated chair stands test and put on-take off cardigan test. Functional limitations were assessed using a questionnaire with six items. RESULTS Higher grip strength was phenotypically associated with lower FI (b = -0.013, 95% CI (-0.016, -0.009)), better physical performance (b = 0.040, 95% CI (0.026, 0.054)) and less functional limitations (OR = 0.965, 95% CI (0.954, 0.977)) over time for follow-up periods up to 23 years. However, PRS-GS was not associated with any of the traits. CONCLUSION The phenotypic associations between grip strength, frailty, physical performance and functional limitations were replicated for follow-up periods up to 23 years. However, the associations between the traits could not be explained by shared genetics potentially indicating a more relevant involvement of non-genetic factors.
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Affiliation(s)
- Najada Stringa
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- GGZ inGeest, Amsterdam, the Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Sociology, Vrije Universiteit, Amsterdam, the Netherlands
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24
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Zügül Y, van Rossum C, Visser M. Prevalence of Undernutrition in Community-Dwelling Older Adults in The Netherlands: Application of the SNAQ 65+ Screening Tool and GLIM Consensus Criteria. Nutrients 2023; 15:3917. [PMID: 37764702 PMCID: PMC10537760 DOI: 10.3390/nu15183917] [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: 08/20/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
The aim of this study was to provide recent data on the prevalence of undernutrition based on screening and diagnosis in Dutch community-dwelling older adults. The data from the 2021 to 2022 examination wave from the Longitudinal Aging Study Amsterdam (n = 1138) and the Dutch National Food Consumption Survey 2019-2021 (n = 607) on community-dwelling men and women aged 65 years and older were used. The prevalence of undernutrition was based on a positive score on the Short Nutritional Assessment Questionnaire 65+ (SNAQ65+) screening tool, a positive diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria and their combination. Of the combined sample (n = 1745), the mean age was 74 (SD 6) years, where 16.7% were aged 80 years or older, 50.5% was female, 56.9% had a high education level, and 30.3% lived alone. The prevalence of undernutrition based on the SNAQ65+ screening in the combined sample was 8.5% (95% CI 7.3-9.9%). In the subgroup of LASA participants with complete data on all GLIM criteria (n = 700), the prevalence of undernutrition was 5.4% based on SNAQ65+ and 7.1% based on GLIM. A positive SNAQ65+ screening followed by a positive GLIM diagnosis resulted in a lower prevalence (3.1%). Being female, older, living alone, receiving formal home care, and having poor self-rated health, poor appetite, or mobility limitations, they were all associated with a higher prevalence, with more than two-fold higher prevalence rates in some subgroups. The results show that currently one out of twelve community-dwelling adults aged 65 years and older is undernourished based on the SNAQ65+ screening, and one out of fourteen is undernourished based on the GLIM diagnosis criteria. Awareness is needed to increase early recognition and treatment in community and primary care, especially among the more vulnerable groups.
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Affiliation(s)
- Yaren Zügül
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Caroline van Rossum
- National Institute for Public Health and the Environment (RIVM), 3721 BA Bilthoven, The Netherlands;
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
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Winkens LHH, den Braver NR, Mackenbach JD, Visser M, De Vet E. Can mindful eating buffer against the influence of neighbourhood fast food exposure on unhealthy food intake? Health Place 2023; 83:103054. [PMID: 37336138 DOI: 10.1016/j.healthplace.2023.103054] [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: 11/22/2022] [Revised: 05/30/2023] [Accepted: 05/31/2023] [Indexed: 06/21/2023]
Abstract
A food-abundant environment is associated with unhealthy food intake, but not everyone is affected to the same degree. Mindful eating, which is eating with attention and awareness, has been associated with less external eating and less food cravings, and could act as a protective factor against influences from the food environment. The current study aimed to investigate whether the association between exposure to fast-food around the home and unhealthy food intake was moderated by mindful eating. The study was conducted in 1086 Dutch adults of 55 years and older of the Longitudinal Aging Study Amsterdam study. The mindful eating domains (Mindful Eating Behavior Scale) were tested as moderating variables in the linear regression models with absolute and relative density of fast-food outlets in the neighbourhood (400, 800 and 1600m) as independent variables and unhealthy food intake (snacks (g/d)) and saturated fat as a percentage of total energy intake (en%)) as dependent variable. Bootstrapping with 5000 samples using the pick-a-point approach showed that after adjustments, only two out of 48 interactions terms were statistically significant: Eating with Awareness (EwA) and Eating without Distraction (EwD) moderated the positive association between the relative density of fast-food outlets and saturated fat (en%) respectively in a buffer of 800m (interaction EwA: B = -0.84, 95% CI [-1.46; -0.22]) and in a buffer of 1600m (interaction EwD: B = -0.82, 95% CI [-1.61; -0.04]). The results of the current study indicate that mindful eating cannot buffer against the influence of the fast-food abundant environment on unhealthy food intake. Future research is needed to confirm these findings, for example in younger populations.
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Affiliation(s)
- L H H Winkens
- Consumption and Healthy Lifestyles Chair Group, Wageningen University and Research, Wageningen, the Netherlands.
| | - N R den Braver
- Department of Epidemiology & Data Science, Amsterdam University Medical Centres, Location VUmc, Amsterdam, the Netherlands; Upstream Team, Amsterdam University Medical Centres, Location VUmc, Amsterdam, the Netherlands(1)
| | - J D Mackenbach
- Department of Epidemiology & Data Science, Amsterdam University Medical Centres, Location VUmc, Amsterdam, the Netherlands; Upstream Team, Amsterdam University Medical Centres, Location VUmc, Amsterdam, the Netherlands(1)
| | - M Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
| | - E De Vet
- Consumption and Healthy Lifestyles Chair Group, Wageningen University and Research, Wageningen, the Netherlands
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Kox RMK, Pasman HRW, van der Plas AGM, Huisman M, Hoogendijk EO, Onwuteaka-Philipsen BD. End-of-life treatment preference discussions between older people and their physician before and during the COVID-19 pandemic: cross sectional and longitudinal analyses from the Longitudinal Aging Study Amsterdam. BMC Geriatr 2023; 23:441. [PMID: 37464333 DOI: 10.1186/s12877-023-04140-5] [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: 03/03/2023] [Accepted: 06/28/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND COVID-19 could lead to hospitalisation and ICU admission, especially in older adults. Therefore, during the pandemic, it became more important to discuss wishes and preferences, such as older peoples' desire for intensive treatment in a hospital in acute situations, or not. This study explores what percentage of Dutch older people aged 75 and over discussed Advance Care Planning (ACP) topics with a physician during the first months of the COVID-19 pandemic and whether this was different in these people before the COVID-19 pandemic. METHODS Data of two ancillary data collections of the Longitudinal Aging Study Amsterdam were used: the LASA 75 PLUS study and the LASA COVID-19 study. The latter provided cross sectional data (during COVID-19; n = 428) and longitudinal data came from participants in both studies (before and during COVID-19; n = 219). RESULTS Most older adults had thought about ACP topics during COVID-19 (76,4%), and a minority had also discussed ACP topics with a physician (20.3%). Thinking about ACP topics increased during COVID-19 compared to before COVID-19 in a sample with measurements on both timeframes (82,5% vs 68,0%). Not thinking about ACP topics decreased in the first months of the COVID-pandemic compared to before COVID-19 for all ACP topics together (68.0% vs 82.2%) and each topic separately (hospital 42.0% vs 63.9%; nursing home 36.5% vs 53.3%; treatment options 47.0% vs 62.1%; resuscitation 53.0% vs 70.7%). CONCLUSIONS Older people do think about ACP topics, which is an important first step in ACP, and this has increased during COVID-19. However, discussing ACP topics with a physician is still not that common. General practitioners could therefore take the initiative in broaching the subject of ACP. This can for instance be done by organizing information meetings.
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Affiliation(s)
- Roosmarijne M K Kox
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Expertise Center for Palliative Care, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - H Roeline W Pasman
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Expertise Center for Palliative Care, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Annicka G M van der Plas
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Expertise Center for Palliative Care, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - Bregje D Onwuteaka-Philipsen
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Expertise Center for Palliative Care, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
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27
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von Bonsdorff MB, Munukka M, van Schoor NM, von Bonsdorff ME, Kortelainen L, Deeg DJH, de Breij S. Changes in physical performance according to job demands across three cohorts of older workers in the Longitudinal Aging Study Amsterdam. Eur J Ageing 2023; 20:21. [PMID: 37286634 DOI: 10.1007/s10433-023-00768-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2023] [Indexed: 06/09/2023] Open
Abstract
This study set out to evaluate the association between job demands at baseline and physical performance over a six-year period across three cohorts of older Dutch workers examined 10 years apart. Data were drawn from three cohorts (1992-1999, 2002-2009 and 2012-2019) of the Longitudinal Aging Study Amsterdam. Individuals aged 55-65 years from each cohort who worked for pay were included (n = 274, n = 416, n = 618, respectively). Physical performance was measured using gait speed and chair stand performance. A population-based job exposure matrix was used to indicate levels of exposure probability of physical (use of force and repetitive movements) and psychosocial (cognitive demands and time pressure) job demands. We found that psychosocial job demands increased and physical demands decreased across the three cohorts. No between cohort differences were found for how job demands affected changes in physical performance over follow-up. For men, faster decline in gait speed was observed when comparing higher and lower use of force at baseline (β -0.012, 95% CI -0.021, -0.004). Greater use of force and repetitive movements were associated with faster decline in chair stand performance (β -0.012, 95% CI -0.020, -0.004 and β -0.009, 95% CI -0.017, -0.001, respectively). In women, no association of job demands on change in physical performance was observed. The study concluded that higher physical job demands were associated with stronger decline in physical performance across six years for men in all cohorts, while no associations were found among women.
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Affiliation(s)
- Mikaela B von Bonsdorff
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, P.O. Box 35, 40014, Jyvaskyla, Finland.
- Folkhälsan Research Center, Helsinki, Finland.
| | - Matti Munukka
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyvaskyla, Finland
| | - Natasja M van Schoor
- Epidemiology and Data Science, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging and Later Life, Amsterdam, The Netherlands
| | | | - Lauri Kortelainen
- Folkhälsan Research Center, Helsinki, Finland
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Dorly J H Deeg
- Epidemiology and Data Science, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging and Later Life, Amsterdam, The Netherlands
| | - Sascha de Breij
- Epidemiology and Data Science, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging and Later Life, Amsterdam, The Netherlands
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Motoc I, Hoogendijk EO, Timmermans EJ, Deeg D, Penninx BWJH, Huisman M. Social and physical neighbourhood characteristics and 10-year incidence of depression and anxiety in older adults: Results from the Longitudinal Aging Study Amsterdam. Soc Sci Med 2023; 327:115963. [PMID: 37207380 DOI: 10.1016/j.socscimed.2023.115963] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/21/2023]
Abstract
OBJECTIVE A growing literature suggests that neighbourhood characteristics are associated with mental health outcomes, but the evidence in older adults is inconsistent. We investigated the association of neighbourhood characteristics, pertaining to demographic, socio-economic, social and physical environment domains, with the subsequent 10-year incidence of depression and anxiety, in Dutch older adults. METHODS In the Longitudinal Aging Study Amsterdam depressive and anxiety symptoms were assessed four times between 2005/2006 and 2015/2016, using the Center for Epidemiological Studies Depression Scale (n = 1365) and the Anxiety subscale of the Hospital Anxiety and Depression Scale (n = 1420). Neighbourhood-level data on urban density, percent population over 65 years of age, percent immigrants, average house price, average income, percent low-income earners, social security beneficiaries, social cohesion, safety, proximity to retail facilities, housing quality, percent green space, percent water coverage, air pollution (particulate matter (PM2.5)), and traffic noise, were obtained for study baseline years 2005/2006. Cox proportional hazard regression models, clustered within neighbourhood, were used to estimate the association between each neighbourhood-level characteristic and the incidence of depression and anxiety. RESULTS The incidence of depression and anxiety was 19.9 and 13.2 per 1000 person-years, respectively. Neighbourhood characteristics were not associated with the incidence of depression. However, various neighbourhood characteristics were associated with an increased incidence of anxiety, including: higher urban density level, higher percent immigrants, greater proximity to retail facilities, lower housing quality score, lower safety score, higher PM2.5 levels and less green space. CONCLUSION Our results indicate that several neighbourhood characteristics are associated with anxiety but not with depression incidence in older age. Several of these characteristics have the potential to be modifiable and thus could serve as a target for interventions at the neighbourhood-level in improving anxiety, provided that future studies replicate our findings and provide further evidence for a causal effect.
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Affiliation(s)
- Irina Motoc
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands.
| | - Emiel O Hoogendijk
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands
| | - Erik J Timmermans
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Dorly Deeg
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands
| | - Brenda W J H Penninx
- Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands; Amsterdam UMC, Location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Martijn Huisman
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands; Department of Sociology, VU University, Amsterdam, the Netherlands
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29
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Holwerda TJ, Jaarsma E, van Zutphen EM, Beekman ATF, Pan KY, van Vliet M, Stringa N, van den Besselaar JH, MacNeil-Vroomen JL, Hoogendijk EO, Kok AAL. The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors: a longitudinal study among older adults in The Netherlands. Soc Psychiatry Psychiatr Epidemiol 2023:10.1007/s00127-023-02457-5. [PMID: 36964770 PMCID: PMC10039342 DOI: 10.1007/s00127-023-02457-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 02/27/2023] [Indexed: 03/26/2023]
Abstract
PURPOSE Many studies report about risk factors associated with adverse changes in mental health during the COVID-19 pandemic while few studies report about protective and buffering factors, especially in older adults. We present an observational study to assess protective and buffering factors against COVID-19 related adverse mental health changes in older adults. METHODS 899 older adults (55 +) in the Netherlands were followed from 2018/19 to two pandemic time points (June-October 2020 and March-August 2021). Questionnaires included exposure to pandemic-related adversities ("COVID-19 exposure"), depressive and anxiety symptoms, loneliness, and pre-pandemic functioning. Linear regression analyses estimated main effects of COVID-19 exposure and protective factors on mental health changes; interaction effects were tested to identify buffering factors. RESULTS Compared to pre-pandemic, anxiety symptoms, depression symptoms and loneliness increased. A higher score on the COVID-19 adversity index was associated with stronger negative mental health changes. Main effects: internet use and high mastery decreased depressive symptoms; a larger network decreased anxiety symptoms; female gender, larger network size and praying decreased loneliness. COVID-19 vaccination buffered against COVID-19 exposure-induced anxiety and loneliness, a partner buffered against COVID-19 exposure induced loneliness. CONCLUSION Exposure to COVID-19 adversity had a cumulative negative impact on mental health. Improving coping, finding meaning, stimulating existing religious and spiritual resources, network interventions and stimulating internet use may enable older adults to maintain mental health during events with large societal impact, yet these factors appear protective regardless of exposure to specific adversities. COVID-19 vaccination had a positive effect on mental health.
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Affiliation(s)
- Tjalling J Holwerda
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands.
- Department of Psychiatry, ARKIN Mental Health Care Amsterdam, Amsterdam, The Netherlands.
- Amsterdam UMC Location Vrije Universiteit, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
| | - Eva Jaarsma
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Elisabeth M van Zutphen
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Aartjan T F Beekman
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Kuan-Yu Pan
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Majogé van Vliet
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Najada Stringa
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Judith H van den Besselaar
- Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Janet L MacNeil-Vroomen
- Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Almar A L Kok
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
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30
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Characterisation of community-dwelling older adults with poor appetite. Eur J Nutr 2023:10.1007/s00394-023-03129-5. [PMID: 36869911 DOI: 10.1007/s00394-023-03129-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/21/2023] [Indexed: 03/05/2023]
Abstract
PURPOSE A poor appetite affects up to 27% of community-dwelling older adults in Europe and is an early predictor of malnutrition. Little is known about the factors associated with poor appetite. The present study, therefore, aims to characterise older adults with poor appetite. METHODS As part of the European JPI project APPETITE, data from 850 participants, aged ≥ 70 years of the Longitudinal Ageing Study Amsterdam (LASA) from 2015/16 were analysed. Appetite during the last week was assessed with a five-point scale and dichotomised into "normal" and "poor". Binary logistic regression was used to examine associations between 25 characteristics from 5 domains-physiological, emotional, cognitive, social, and lifestyle-and appetite. First, domain-specific models were calculated using stepwise backward selection. Second, all variables contributing to poor appetite were combined in a multi-domain model. RESULTS The prevalence of self-reported poor appetite was 15.6%. Fourteen parameters from all five single-domain models contributed to poor appetite and were entered into the multi-domain model. Here, female sex (total prevalence: 56.1%, odds ratio: 1.95 [95% confidence interval 1.10-3.44]), self-reported chewing problems (2.4%, 5.69 [1.88-17.20]), any unintended weight loss in the last 6 months (6.7%, 3.07 [1.36-6.94]), polypharmacy defined as ≥ 5 medications in the past 2 weeks (38.4%, 1.87 [1.04-3.39]), and depressive symptoms (Centre for Epidemiologic Studies Depression Scale without appetite item) (1.12 [1.04-1.21]) were associated with an increased likelihood of having poor appetite. CONCLUSION According to this analysis, older people with the characteristics described above are more likely to have a poor appetite.
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31
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Development and validation of an intrinsic capacity composite score in the Longitudinal Aging Study Amsterdam: a formative approach. Aging Clin Exp Res 2023; 35:815-825. [PMID: 36813972 PMCID: PMC10115715 DOI: 10.1007/s40520-023-02366-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/05/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Intrinsic capacity (IC) defined by the WHO refers to the composite of five domains of capacities. So far, developing and validating a standardized overall score of the concept have been challenging partly because its conceptual framework has been unclear. We consider that a person's IC is determined by its domain-specific indicators suggesting a formative measurement model. AIMS To develop an IC score applying a formative approach and assess its validity. METHODS The study sample (n = 1908) consisted of 57-88-year-old participants from the Longitudinal Aging Study Amsterdam (LASA). We used logistic regression models to select the indicators to the IC score with 6-year functional decline as an outcome. An IC score (range 0-100) was constructed for each participant. We examined the known-groups' validity of the IC score by comparing groups based on age and number of chronic diseases. The criterion validity of the IC score was assessed with 6-year functional decline and 10-year mortality as outcomes. RESULTS The constructed IC score included seven indicators covering all five domains of the construct. The mean IC score was 66.7 (SD 10.3). The scores were higher among younger participants and those who had lower number of chronic diseases. After adjustment for sociodemographic indicators, chronic diseases, and BMI, a one-point higher IC score was associated with a 7% decreased risk for 6-year functional decline and a 2% decreased risk for 10-year mortality. CONCLUSIONS The developed IC score demonstrated discriminative ability according to age and health status and is associated with subsequent functional decline and mortality.
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Hoogendijk EO, Schuster NA, van Tilburg TG, Schaap LA, Suanet B, De Breij S, Kok AA, Van Schoor NM, Timmermans EJ, de Jongh RT, Visser M, Huisman M. Longitudinal Aging Study Amsterdam COVID-19 exposure index: a cross-sectional analysis of the impact of the pandemic on daily functioning of older adults. BMJ Open 2022. [PMID: 36323473 DOI: 10.1136/bmjopen-2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/26/2023] Open
Abstract
OBJECTIVES The aim of this study was to develop an index to measure older adults' exposure to the COVID-19 pandemic and to study its association with various domains of functioning. DESIGN Cross-sectional study. SETTING The Longitudinal Aging Study Amsterdam (LASA), a cohort study in the Netherlands. PARTICIPANTS Community-dwelling older adults aged 62-102 years (n=1089) who participated in the LASA COVID-19 study (June-September 2020), just after the first wave of the pandemic. PRIMARY OUTCOME MEASURES A 35-item COVID-19 exposure index with a score ranging between 0 and 1 was developed, including items that assess the extent to which the COVID-19 situation affected daily lives of older adults. Descriptive characteristics of the index were studied, stratified by several sociodemographic factors. Logistic regression analyses were performed to study associations between the exposure index and several indicators of functioning (functional limitations, anxiety, depression and loneliness). RESULTS The mean COVID-19 exposure index score was 0.20 (SD 0.10). Scores were relatively high among women and in the southern region of the Netherlands. In models adjusted for sociodemographic factors and prepandemic functioning (2018-2019), those with scores in the highest tertile of the exposure index were more likely to report functional limitations (OR: 2.24; 95% CI: 1.48 to 3.38), anxiety symptoms (OR: 3.14; 95% CI: 1.82 to 5.44), depressive symptoms (OR: 2.49; 95% CI: 1.55 to 4.00) and loneliness (OR: 2.97; 95% CI: 2.08 to 4.26) than those in the lowest tertile. CONCLUSIONS Among older adults in the Netherlands, higher exposure to the COVID-19 pandemic was associated with worse functioning in the physical, mental and social domain. The newly developed exposure index may be used to identify persons for whom targeted interventions are needed to maintain or improve functioning during the pandemic or postpandemic.
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Affiliation(s)
- Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Noah A Schuster
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Theo G van Tilburg
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Laura A Schaap
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bianca Suanet
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sascha De Breij
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Almar Al Kok
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Natasja M Van Schoor
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Erik J Timmermans
- Julius Center for Health Sciences and Primary Care, Utrecht University Medical Center, Utrecht, The Netherlands
| | - Renate T de Jongh
- Department of Internal Medicine, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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33
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Hoogendijk EO, Schuster NA, van Tilburg TG, Schaap LA, Suanet B, De Breij S, Kok AA, Van Schoor NM, Timmermans EJ, de Jongh RT, Visser M, Huisman M. Longitudinal Aging Study Amsterdam COVID-19 exposure index: a cross-sectional analysis of the impact of the pandemic on daily functioning of older adults. BMJ Open 2022; 12:e061745. [PMID: 36323473 PMCID: PMC9638742 DOI: 10.1136/bmjopen-2022-061745] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES The aim of this study was to develop an index to measure older adults' exposure to the COVID-19 pandemic and to study its association with various domains of functioning. DESIGN Cross-sectional study. SETTING The Longitudinal Aging Study Amsterdam (LASA), a cohort study in the Netherlands. PARTICIPANTS Community-dwelling older adults aged 62-102 years (n=1089) who participated in the LASA COVID-19 study (June-September 2020), just after the first wave of the pandemic. PRIMARY OUTCOME MEASURES A 35-item COVID-19 exposure index with a score ranging between 0 and 1 was developed, including items that assess the extent to which the COVID-19 situation affected daily lives of older adults. Descriptive characteristics of the index were studied, stratified by several sociodemographic factors. Logistic regression analyses were performed to study associations between the exposure index and several indicators of functioning (functional limitations, anxiety, depression and loneliness). RESULTS The mean COVID-19 exposure index score was 0.20 (SD 0.10). Scores were relatively high among women and in the southern region of the Netherlands. In models adjusted for sociodemographic factors and prepandemic functioning (2018-2019), those with scores in the highest tertile of the exposure index were more likely to report functional limitations (OR: 2.24; 95% CI: 1.48 to 3.38), anxiety symptoms (OR: 3.14; 95% CI: 1.82 to 5.44), depressive symptoms (OR: 2.49; 95% CI: 1.55 to 4.00) and loneliness (OR: 2.97; 95% CI: 2.08 to 4.26) than those in the lowest tertile. CONCLUSIONS Among older adults in the Netherlands, higher exposure to the COVID-19 pandemic was associated with worse functioning in the physical, mental and social domain. The newly developed exposure index may be used to identify persons for whom targeted interventions are needed to maintain or improve functioning during the pandemic or postpandemic.
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Affiliation(s)
- Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Noah A Schuster
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Theo G van Tilburg
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Laura A Schaap
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bianca Suanet
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sascha De Breij
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Almar Al Kok
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Natasja M Van Schoor
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Erik J Timmermans
- Julius Center for Health Sciences and Primary Care, Utrecht University Medical Center, Utrecht, The Netherlands
| | - Renate T de Jongh
- Department of Internal Medicine, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology & Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Rijnhart JJM, Twisk JWR, Valente MJ, Heymans MW. Time lags and time interactions in mixed effects models impacted longitudinal mediation effect estimates. J Clin Epidemiol 2022; 151:143-150. [PMID: 35961442 DOI: 10.1016/j.jclinepi.2022.07.004] [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: 02/16/2022] [Revised: 06/14/2022] [Accepted: 07/07/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Longitudinal mediation effects can be estimated with mixed effects models. Mixed effects models are versatile, as they accommodate the estimation of contemporaneous, lagged, time-independent, and time-dependent effects. However, the inclusion of time lags and time interactions in mixed effects models for longitudinal mediation analysis has received little attention. This article demonstrates how time lags and time interactions in mixed effects models affect the interpretation of longitudinal mediation effect estimates. STUDY DESIGN AND SETTING We used a data example from the Amsterdam Growth and Health Longitudinal Study to illustrate how the inclusion of time lags and time interactions in mixed effects models may affect the size and interpretation of longitudinal mediation effect estimates. RESULTS The chosen time lags between the determinant, mediator, and outcome influenced the size and interpretation of the mediation effect estimates. Furthermore, time interactions can be used to model linear or nonlinear development of the mediation effects over time. CONCLUSION The inclusion of time lags and time interactions should be considered when estimating longitudinal mediation effects based on mixed effects models, as this enables the estimation of lagged and time-dependent effects.
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Affiliation(s)
- Judith J M Rijnhart
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology & Data Science, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
| | - Jos W R Twisk
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology & Data Science, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Matthew J Valente
- Center for Children and Families, Department of Psychology, Florida International University, Miami, FL, USA
| | - Martijn W Heymans
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology & Data Science, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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Comparing cardiovascular disease incidence and prevalence between depressed and non-depressed older persons over time: Cohort differences in the Longitudinal Aging Study Amsterdam. J Psychosom Res 2022; 162:111015. [PMID: 36162162 DOI: 10.1016/j.jpsychores.2022.111015] [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: 12/16/2021] [Revised: 08/01/2022] [Accepted: 08/17/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Previous studies suggest that prevention of cardiovascular disease (CVD) is more difficult in depressed persons. Although the prevalence and incidence of CVD decreased over the past decades, it is uncertain whether this is also true for depressed persons. This study examined whether changes in the prevalence and incidence of CVD differ between depressed and non-depressed older persons. METHODS Longitudinal data from three community-based representative birth cohorts aged 55-65 years of the Longitudinal Aging Study Amsterdam were used; N = 1070 born in 1926-1937, N = 995 born in 1938-1947, N = 1019 born in 1948-1957. The outcome included fatal and non-fatal CVD. Depression was defined as ≥16 points on the Center for Epidemiological Studies Depression Scale or a general practitioner's diagnosis of depression. Data were analysed with for age and sex adjusted logistic regression and cox regression models. RESULTS Comparing cohort 2 and 3 with cohort 1 in the complete sample, the prevalence of CVD decreased by 2% (OR = 0.98, 95%CI = 0.76-1.26) and 32% (OR = 0.68, 95%CI = 0.52-0.89), respectively, and the three-year incidence of CVD decreased by 6% (OR = 0.94, 95%CI = 0.63-1.41) and 26% (OR = 0.74, 95%CI = 0.48-1.15), respectively. The 13-year incidence of CVD decreased by 19% (HR = 0.81, 95%CI = 0.67-0.99) in cohort 2 compared to cohort 1. These decreases did not differ statistically significantly between depressed and non-depressed respondents (p-values of interaction terms: 0.35-0.98). CONCLUSION Substantial decreases in the prevalence and incidence of CVD were observed in depressed and non-depressed older persons. Although this is encouraging, cardiovascular risk remained higher in depressed persons over time, warranting tailored prevention programs for depressed older persons.
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Deenik J, Koomen LEM, Scheewe TW, van Deursen FP, Cahn W. Cardiorespiratory fitness and self-reported physical activity levels of referring mental healthcare professionals, and their attitudes and referral practices related to exercise and physical health. J Psychiatr Res 2022; 154:19-27. [PMID: 35921725 DOI: 10.1016/j.jpsychires.2022.07.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/28/2022] [Accepted: 07/18/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Physical activity (PA) interventions can improve mental and physical health of people with mental illness, especially when delivered by qualified exercise professionals. Also, the behaviour, engagement and support of referring mental healthcare professionals (HCP) seem essential, but research is scarce. We aimed to study HCP physical fitness and PA, and associations with their attitudes and referral practices related to physical health and PA interventions. METHODS HCP at the Dutch Association for Psychiatry congress (2019) were invited to an online questionnaire (demographic/work characteristics, stress, PA levels, knowledge/attitudes regarding PA, referral practices) and cycle ergometer test. Strongest associations were analysed using linear and logistic regression. RESULTS Of the 115 HCP who completed the questionnaire (40 also completed the ergometer test), 43% (n = 50) met PA guidelines (i.e., ≥150min moderate-to-vigorous PA and ≥2x bone/muscle-strengthening exercises/week). Women, HCP interns/residents and HCP experiencing more stress were less active and less likely to meet PA guidelines. Conversely, there were positive associations with personal experience with an exercise professional. Knowledge/attitudes on physical health and PA were positive. HCP were more likely to refer patients to PA interventions if they met PA guidelines (OR = 2.56, 95%BI = 0.85-7.13) or had higher beliefs that exercise professionals can increase adherence to PA interventions (OR = 3.72, 95%BI = 1.52-9.14). LIMITATIONS Mainly psychiatrists, affecting generalizability. CONCLUSIONS HCP report the importance and relevance of PA in mental healthcare. Despite strong evidence and guidance for PA interventions in prevention and treatment, referral to such interventions partly depends on the PA behaviour and attitude of patient's physician/clinician.
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Affiliation(s)
- Jeroen Deenik
- GGz Centraal, Utrechtseweg 266, 3831EW, Amersfoort, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Minderbroedersberg 4-6, 6211LK, Maastricht, the Netherlands; Windesheim University of Applied Sciences, Campus 2, 8017CA, Zwolle, the Netherlands; University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
| | - Lisanne E M Koomen
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
| | - Thomas W Scheewe
- Windesheim University of Applied Sciences, Campus 2, 8017CA, Zwolle, the Netherlands
| | - Frank P van Deursen
- Windesheim University of Applied Sciences, Campus 2, 8017CA, Zwolle, the Netherlands
| | - Wiepke Cahn
- University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
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Vandenput L, Johansson H, McCloskey EV, Liu E, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, Mellström D, Merlijn T, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schei B, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens MC, Zwart M, Harvey NC, Lorentzon M, Leslie WD, Kanis JA. Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan. Osteoporos Int 2022; 33:2103-2136. [PMID: 35639106 DOI: 10.1007/s00198-022-06435-6] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/18/2022] [Indexed: 12/15/2022]
Abstract
We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. INTRODUCTION The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. METHODS A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. RESULTS Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. CONCLUSIONS These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
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Affiliation(s)
- L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - K E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - F A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - R Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Center Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- GROIMAP (Research Group), Unitat de Suport a La Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Santa Coloma de Gramenet, Barcelona, Spain
| | - C L Bager
- Nordic Bioscience A/S, Herlev, Denmark
| | - C Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - H A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre On Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - E Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - O Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Bone Biology, Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - R Chapurlat
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- National Institute for Health Research Oxford Biomedical Research Unit, , University of Oxford, Oxford, UK
| | - C J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - J A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, University Hospital and University of Coimbra, Coimbra, Portugal
| | - B Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center On Aging, Tufts University, Boston, MA, USA
| | - A Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - A B Dufour
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
- Osteoporosis and Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - P J M Elders
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Y Fujita
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - C-C Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - I Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - J Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - D Hans
- Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland
| | - M Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - R J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - M Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - M Iki
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Ish-Shalom
- Endocrine Clinic, Elisha Hospital, Haifa, Israel
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - S Khosla
- Robert and Arlene Kogod Center On Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - W-P Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - F Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine - Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - H Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - T Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - O Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - A Langhammer
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, HUNT Research Centre, Norwegian University of Science and Technology, Trondheim, Norway
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - K Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - T Merlijn
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- Division of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- School of Sport Sciences, Arctic University of Norway, Tromsø, Norway
| | - P Nordström
- Unit of Geriatric Medicine, Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden
| | - T W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - B Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - C Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - E S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - J A Pasco
- Institute for Physical and Mental Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, Australia
- Barwon Health, Geelong, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - B Schei
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Gynecology, St Olavs Hospital, Trondheim, Norway
| | - A-M Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - E J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - K Siggeirsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Janus Rehabilitation, Reykjavik, Iceland
| | - E M Simonsick
- Translational Gerontology Branch, National Institute On Aging Intramural Research Program, Baltimore, MD, USA
| | | | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - J Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - D J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - N M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - T P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - J Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - N J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - N C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Zwart
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP (Research Group), Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.
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van Gameren M, Hoogendijk EO, van Schoor NM, Bossen D, Visser B, Bosmans JE, Pijnappels M. Physical activity as a risk or protective factor for falls and fall-related fractures in non-frail and frail older adults: a longitudinal study. BMC Geriatr 2022; 22:695. [PMID: 35996101 PMCID: PMC9396867 DOI: 10.1186/s12877-022-03383-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/02/2022] [Indexed: 11/24/2022] Open
Abstract
Background Physical activity may be both a risk and protective factor for falls and fall-related fractures. Despite its positive effects on muscle and bone health, physical activity also increases exposure to situations where falls and fractures occur. This paradox could possibly be explained by frailty status. Therefore, the aim of this study was to investigate the associations between physical activity and both falls and fractures, and to determine whether frailty modifies the association of physical activity with falls, and fractures. Methods Data of 311 community-dwelling participants aged 75 years or older from the Longitudinal Aging Study Amsterdam, who participated in a three-year longitudinal study with five nine-monthly measurements between 2015/2016 and 2018/2019. Their mean age was 81.1 (SD 4.8) years and frailty was present in 30.9% of the participants. Physical activity in minutes per day was objectively assessed with an inertial sensor (Actigraph) for seven consecutive days. Falls and fractures were assessed every nine months using self-report during an interview over a follow-up period of three years. Frailty was determined at baseline using the frailty index. Associations were estimated using longitudinal logistic regression analyses based on generalized estimating equations. Results No association between physical activity and falls was found (OR = 1.00, 95% CI: 0.99–1.00). Fall risk was higher in frail compared to non-frail adults (OR = 2.21, 95% CI: 1.33–3.68), but no effect modification was seen of frailty on the association between physical activity and falls. Also no relation between physical activity and fractures was found (OR = 1.00, 95% CI: 0.99–1.01). Fracture risk was higher in frail compared to non-frail adults (OR = 2.81, 95% CI: 1.02–7.75), but also no effect modification of frailty was present in the association between physical activity and fractures. Conclusions No association between physical activity and neither falls nor fractures was found, and frailty appeared not to be an effect modifier. However, frailty was a risk factor for falls and fractures in this population of older adults. Our findings suggest that physical activity can be safely recommended in non-frail and frail populations for general health benefits, without increasing the risk of falls. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03383-y.
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Affiliation(s)
- Maaike van Gameren
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. .,Amsterdam Movement Sciences, Amsterdam, the Netherlands.
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Amsterdam Public Health, Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Amsterdam Public Health, Amsterdam, the Netherlands
| | - Daniël Bossen
- Faculty of Health, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| | - Bart Visser
- Amsterdam Movement Sciences, Amsterdam, the Netherlands.,Faculty of Health, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| | - Judith E Bosmans
- Amsterdam Public Health, Amsterdam, the Netherlands.,Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Amsterdam Movement Sciences, Amsterdam, the Netherlands
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Fluitman KS, Davids M, Olofsson LE, Wijdeveld M, Tremaroli V, Keijser BJ, Visser M, Bäckhed F, Nieuwdorp M, IJzerman RG. Gut microbial characteristics in poor appetite and undernutrition: a cohort of older adults and microbiota transfer in germ-free mice. J Cachexia Sarcopenia Muscle 2022; 13:2188-2201. [PMID: 35698917 PMCID: PMC9397553 DOI: 10.1002/jcsm.13002] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/28/2022] [Accepted: 03/16/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Older adults are particularly prone to the development of poor appetite and undernutrition. Possibly, this is partly due to the aged gut microbiota. We aimed to evaluate the gut microbiota in relation to both poor appetite and undernutrition in community-dwelling older adults. Furthermore, we studied the causal effects of the microbiota on body weight and body composition by transferring faecal microbiota from cohort participants into germ-free mice. METHODS First, we conducted a cross-sectional cohort study of 358 well-phenotyped Dutch community-dwelling older adults from the Longitudinal Aging Study Amsterdam. Data collection included body measurements, a faecal and blood sample, as well as extensive questionnaires on appetite, dietary intake, and nutritional status. Appetite was assessed by the Council of Nutrition Appetite Questionnaire (CNAQ) and undernutrition was defined by either a low body mass index (BMI) (BMI < 20 kg/m2 if <70 years or BMI < 22 kg/m2 if ≥70 years) or >5% body weight loss averaged over the last 2 years. Gut microbiota composition was determined with 16S rRNA sequencing. Next, we transferred faecal microbiota from 12 cohort participants with and without low BMI or recent weight loss into a total of 41 germ-free mice to study the potential causal effects of the gut microbiota on host BMI and body composition. RESULTS The mean age (range) of our cohort was 73 (65-93); 58.4% was male. Seventy-seven participants were undernourished and 21 participants had poor appetite (CNAQ < 28). A lower abundance of the genus Blautia was associated with undernutrition (log2 fold change = -0.57, Benjamini-Hochberg-adjusted P = 0.008), whereas higher abundances of taxa from Lachnospiraceae, Ruminococcaceae UCG-002, Parabacteroides merdae, and Dorea formicigenerans were associated with poor appetite. Furthermore, participants with poor appetite or undernutrition had reduced levels of faecal acetate (P = 0.006 and 0.026, respectively). Finally, there was a trend for the mice that received faecal microbiota from older adults with low BMI to weigh 1.26 g less after 3 weeks (P = 0.086) and have 6.13% more lean mass (in % body weight, P = 0.067) than the mice that received faecal microbiota from older adults without low BMI or recent weight loss. CONCLUSIONS This study demonstrates several associations of the gut microbiota with both poor appetite and undernutrition in older adults. Moreover, it is the first to explore a causal relation between the aged gut microbiota and body weight and body composition in the host. Possibly, microbiota-manipulating strategies will benefit older adults prone to undernutrition.
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Affiliation(s)
- Kristina S. Fluitman
- Department of Internal MedicineAmsterdam University Medical Centers, location VUmcAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | - Mark Davids
- Department of Vascular MedicineAmsterdam University Medical Centers, location AMCAmsterdamThe Netherlands
| | - Louise E. Olofsson
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of MedicineUniversity of GothenburgGothenburgSweden
| | - Madelief Wijdeveld
- Department of Internal MedicineAmsterdam University Medical Centers, location VUmcAmsterdamThe Netherlands
- Department of Vascular MedicineAmsterdam University Medical Centers, location AMCAmsterdamThe Netherlands
| | - Valentina Tremaroli
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of MedicineUniversity of GothenburgGothenburgSweden
| | - Bart J.F. Keijser
- Department of Microbiology and Systems BiologyTNO Healthy LivingZeistThe Netherlands
- Department of Preventive Dentistry, Academic Center for Dentistry AmsterdamUniversity of Amsterdam and VU UniversityAmsterdamThe Netherlands
| | - Marjolein Visser
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
- Department of Health Sciences, Faculty of ScienceVrije UniversiteitAmsterdamThe Netherlands
| | - Fredrik Bäckhed
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of MedicineUniversity of GothenburgGothenburgSweden
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
- Department of Clinical PhysiologyRegion Västra Götaland, Sahlgrenska University HospitalGothenburgSweden
| | - Max Nieuwdorp
- Department of Internal MedicineAmsterdam University Medical Centers, location VUmcAmsterdamThe Netherlands
- Department of Vascular MedicineAmsterdam University Medical Centers, location AMCAmsterdamThe Netherlands
| | - Richard G. IJzerman
- Department of Internal MedicineAmsterdam University Medical Centers, location VUmcAmsterdamThe Netherlands
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Rijnhart JJM, Twisk JWR, Deeg DJH, Heymans MW. Assessing the Robustness of Mediation Analysis Results Using Multiverse Analysis. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2022; 23:821-831. [PMID: 34272641 PMCID: PMC9283158 DOI: 10.1007/s11121-021-01280-1] [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] [Accepted: 06/23/2021] [Indexed: 11/01/2022]
Abstract
There is an increasing awareness that replication should become common practice in empirical studies. However, study results might fail to replicate for various reasons. The robustness of published study results can be assessed using the relatively new multiverse-analysis methodology, in which the robustness of the effect estimates against data analytical decisions is assessed. However, the uptake of multiverse analysis in empirical studies remains low, which might be due to the scarcity of guidance available on performing multiverse analysis. Researchers might experience difficulties in identifying data analytical decisions and in summarizing the large number of effect estimates yielded by a multiverse analysis. These difficulties are amplified when applying multiverse analysis to assess the robustness of the effect estimates from a mediation analysis, as a mediation analysis involves more data analytical decisions than a bivariate analysis. The aim of this paper is to provide an overview and worked example of the use of multiverse analysis to assess the robustness of the effect estimates from a mediation analysis. We showed that the number of data analytical decisions in a mediation analysis is larger than in a bivariate analysis. By using a real-life data example from the Longitudinal Aging Study Amsterdam, we demonstrated the application of multiverse analysis to a mediation analysis. This included the use of specification curves to determine the impact of data analytical decisions on the magnitude and statistical significance of the direct, indirect, and total effect estimates. Although the multiverse analysis methodology is still relatively new and future research is needed to further advance this methodology, this paper shows that multiverse analysis is a useful method for the assessment of the robustness of the direct, indirect, and total effect estimates in a mediation analysis and thereby to inform replication studies.
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Affiliation(s)
- Judith J M Rijnhart
- Department of Epidemiology and Data Science, Amsterdam UMC, Location VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
| | - Jos W R Twisk
- Department of Epidemiology and Data Science, Amsterdam UMC, Location VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology and Data Science, Amsterdam UMC, Location VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Data Science, Amsterdam UMC, Location VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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Senft JD, Brück BB, Poß-Doering R, Bruckner T, Szecsenyi J, Müller-Stich BP, Laux G. Need for nursing care after laparoscopic and open colorectal cancer surgery: a claims data analysis in German primary care. Langenbecks Arch Surg 2022; 407:2937-2944. [PMID: 35761148 PMCID: PMC9640437 DOI: 10.1007/s00423-022-02592-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/15/2022] [Indexed: 11/30/2022]
Abstract
Purpose Our study analyzes the influence of minimally invasive vs. open surgery on the postoperative need for nursing care in patients with colorectal carcinoma. Colorectal cancer is an age-related disease, and oncologic surgery is increasingly performed in elderly patients. Long-term effects of the procedural choice on patients’ self-sufficiency and autonomy have not been scientifically addressed so far. Methods Multivariable logistic regression models based on claims data from a statutory health insurer (AOK, Baden-Württemberg, Germany) were applied to assess potential risk factors for assignment patients to a nursing care level, a German scale to categorize individual need for nursing care, at 12 and 36 months after colorectal cancer surgery. Results A total of 3996 patients were eligible to be included in the analysis. At 36 months postoperatively, 44 of 427 (10.3%) patients after minimally invasive colon cancer surgery and 231 of 1287 (17.9%) patients after open procedure were newly graded into a nursing care level (OR = 0.62, 95%CI = 0.44–0.90, p = 0.010). Thirty-four of 251 (13.5%) patients receiving minimally invasive rectal cancer surgery compared to 142 of 602 (23.6%) patients after open approach were newly assigned to a nursing care level (OR = 0.53, 95%CI = 0.34–0.81, p = 0.003). Conclusions Laparoscopically assisted resection of colorectal cancer seems to be superior in preserving physical autonomy of elderly patients with colorectal cancer.
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Affiliation(s)
- Jonas D Senft
- Department of General Practice and Health Services Research, University Hospital Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
| | - Benedikt B Brück
- Department of General Practice and Health Services Research, University Hospital Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Regina Poß-Doering
- Department of General Practice and Health Services Research, University Hospital Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Thomas Bruckner
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Joachim Szecsenyi
- Department of General Practice and Health Services Research, University Hospital Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
| | - Beat P Müller-Stich
- Department of General, Visceral and Transplant Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Gunter Laux
- Department of General Practice and Health Services Research, University Hospital Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
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de Breij S, Huisman M, Boot CRL, Deeg DJH. Sex and gender differences in depressive symptoms in older workers: the role of working conditions. BMC Public Health 2022; 22:1023. [PMID: 35597949 PMCID: PMC9123290 DOI: 10.1186/s12889-022-13416-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 05/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Female older workers generally leave the work force earlier than men. Depressive symptoms are a risk factor of early work exit and are more common in women. To extend working lives, pathways leading to these sex inequalities need to be identified. The aim of this study was to investigate the association of sex and gender with depressive symptoms in older workers, and the role of working conditions in this association. METHODS We used data from the Longitudinal Aging Study Amsterdam (2012-2013/2015-2016, n = 313). Our outcome was depressive symptoms, measured by the Center for Epidemiologic Studies Depression Scale. We included biological sex, a gender index ranging from masculine to feminine (consisting of six items measuring gender roles: working hours, income, occupation segregation, education, informal caregiving, time spent on household chores), and working conditions (physical demands, psychosocial demands, cognitive demands, autonomy, task variation, social support) in our models. We examined the differential vulnerability hypothesis, i.e., sex/gender moderates the association between working conditions and depressive symptoms, and the differential exposure hypothesis, i.e., working conditions mediate the association between sex/gender and depressive symptoms. RESULTS Female sex and feminine gender were both associated with more depressive symptoms. The differential vulnerability hypothesis was not supported by our results. We did find that femininity was negatively associated with autonomy and task variation. In turn, these working conditions were associated with fewer depressive symptoms. Thus, autonomy and task variation partially mediated the association between gender and depressive symptoms, supporting the differential exposure hypothesis. Mediation effects for sex inequalities were not significant. CONCLUSIONS Older female workers and older feminine workers have more depressive symptoms than their male/masculine counterparts. Autonomy and task variation appeared to be important in - partially - explaining gender differences in depressive symptoms rather than sex differences. By improving these conditions, gender inequality in mental health among older workers can be reduced, so that both genders have similar chances to reach the retirement age in good mental health.
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Affiliation(s)
- Sascha de Breij
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081, Amsterdam, the Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081, Amsterdam, the Netherlands.,Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Cécile R L Boot
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081, Amsterdam, the Netherlands.
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Klokgieters SS, van Tilburg TG, Deeg DJH, Huisman M. Social position of older immigrants in the Netherlands: where do immigrants perceive themselves on the societal ladder? J Cross Cult Gerontol 2022; 37:141-160. [PMID: 35441949 PMCID: PMC9262795 DOI: 10.1007/s10823-022-09453-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2022] [Indexed: 11/24/2022]
Abstract
Older Turkish and Moroccan immigrants are often ascribed a low social position based on their relatively unfavourable educational level, occupational status and income. Yet immigrants emigrated to improve their social position and came from contexts where determinants of social position might be based on different socio-cultural circumstances than those used in the country of settlement. In order to understand immigrants' own perception of their social position, we interviewed 23 60-68 year old immigrants from Turkish and Moroccan origin in the Netherlands. Using a ten rung ladder, participants were asked to position themselves in the societal hierarchy before migration, after settlement and currently. Most participants positioned themselves at a middle or high position on the societal ladder. Circumstances used for positioning were related to socioeconomic indicators, but also to social affirmation, family, social integration, physical, mental health, happiness and complying to religious prescriptions. When these circumstances were deemed favourable, participants tended to position themselves higher. Our findings also show that the circumstances that participants used for positioning themselves varied across the life course. These findings complement the picture of the often low objective low socioeconomic position of older immigrants and show that immigrants' perception of their subjective social position reflects a broader set of circumstances than just socioeconomic ones.
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Affiliation(s)
- Silvia S Klokgieters
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands.
| | - Theo G van Tilburg
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - location VUmc, De Boelelaan 1089a, 1081 HV , Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands.,Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - location VUmc, De Boelelaan 1089a, 1081 HV , Amsterdam, The Netherlands
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Pronk AC, Seppala LJ, Trajanoska K, Stringa N, van de Loo B, de Groot LCPGM, van Schoor NM, Koskeridis F, Markozannes G, Ntzani E, Uitterlinden AG, Rivadeneira F, Stricker BH, van der Velde N. Candidate genetic variants and antidepressant-related fall risk in middle-aged and older adults. PLoS One 2022; 17:e0266590. [PMID: 35421149 PMCID: PMC9009709 DOI: 10.1371/journal.pone.0266590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 03/23/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Antidepressant use has been associated with increased fall risk. Antidepressant-related adverse drug reactions (e.g. orthostatic hypotension) depend partly on genetic variation. We hypothesized that candidate genetic polymorphisms are associated with fall risk in older antidepressant users. METHODS The association between antidepressant use and falls was cross-sectionally investigated in a cohort of Dutch older adults by logistic regression analyses. In case of significant interaction product term of antidepressant use and candidate polymorphism, the association between the variant genotype and fall risk was assessed within antidepressant users and the association between antidepressant use and fall risk was investigated stratified per genotype. Secondly, a look-up of the candidate genes was performed in an existing genome-wide association study on drug-related falls in antidepressant users within the UK Biobank. In antidepressant users, genetic associations for our candidate polymorphisms for fall history were investigated. RESULTS In antidepressant users(n = 566), for rs28371725 (CYP2D6*41) fall risk was decreased in TC/variant allele carriers compared to CC/non-variant allele carriers (OR = 0.45, 95% CI 0.26-0.80). Concerning rs1057910 (CYP2C9*3), fall risk was increased in CA/variant allele carriers compared to AA/non-variant allele carriers (OR = 1.95, 95% CI 1.17-3.27). Regarding, rs1045642 (ABCB1), fall risk was increased in AG/variant allele carriers compared to GG/non-variant allele carriers (OR = 1.69, 95% CI 1.07-2.69). Concerning the ABCB1-haplotype (rs1045642/rs1128503), fall risk was increased in AA-AA/variant allele carriers compared to GG-GG/non-variant allele carriers (OR = 1.86, 95% CI 1.05-3.29). In the UK Biobank, in antidepressant users(n = 34,000) T/variant-allele of rs28371725 (CYP2D*41) was associated with increased fall risk (OR = 1.06, 95% CI 1.01-1.12). G/non-variant-allele of rs4244285 (CY2C19*2) was associated with decreased risk (OR = 0.96, 95% CI 0.92-1.00). CONCLUSION This is the first study showing that certain genetic variants modify antidepressant-related fall risk. The results were not always consistent across the studies and should be validated in a study with a prospective design. However, pharmacogenetics might have value in antidepressant (de)prescribing in falls prevention.
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Affiliation(s)
- A. C. Pronk
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - L. J. Seppala
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - K. Trajanoska
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - N. Stringa
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - B. van de Loo
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - L. C. P. G. M. de Groot
- Department of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - N. M. van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - F. Koskeridis
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - G. Markozannes
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - E. Ntzani
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
- Department of Health Services, Policy and Practice, Center for Research Synthesis in Health, School of Public Health, Brown University, Providence, RI, United States of America
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, RI, United States of America
| | - A. G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - F. Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - B. H. Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - N. van der Velde
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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van de Loo B, Seppala LJ, van der Velde N, Medlock S, Denkinger M, de Groot LCPGM, Kenny RA, Moriarty F, Rothenbacher D, Stricker B, Uitterlinden A, Abu-Hanna A, Heymans MW, van Schoor N. Development of the AD FICE_IT models for predicting falls and recurrent falls in community-dwelling older adults: pooled analyses of European cohorts with special attention to medication. J Gerontol A Biol Sci Med Sci 2022; 77:1446-1454. [PMID: 35380638 PMCID: PMC9255686 DOI: 10.1093/gerona/glac080] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Indexed: 11/13/2022] Open
Abstract
Background Use of fall prevention strategies requires detection of high-risk patients. Our goal was to develop prediction models for falls and recurrent falls in community-dwelling older adults and to improve upon previous models by using a large, pooled sample and by considering a wide range of candidate predictors, including medications. Methods Harmonized data from 2 Dutch (LASA, B-PROOF) and 1 German cohort (ActiFE Ulm) of adults aged ≥65 years were used to fit 2 logistic regression models: one for predicting any fall and another for predicting recurrent falls over 1 year. Model generalizability was assessed using internal–external cross-validation. Results Data of 5 722 participants were included in the analyses, of whom 1 868 (34.7%) endured at least 1 fall and 702 (13.8%) endured a recurrent fall. Positive predictors for any fall were: educational status, depression, verbal fluency, functional limitations, falls history, and use of antiepileptics and drugs for urinary frequency and incontinence; negative predictors were: body mass index (BMI), grip strength, systolic blood pressure, and smoking. Positive predictors for recurrent falls were: educational status, visual impairment, functional limitations, urinary incontinence, falls history, and use of anti-Parkinson drugs, antihistamines, and drugs for urinary frequency and incontinence; BMI was a negative predictor. The average C-statistic value was 0.65 for the model for any fall and 0.70 for the model for recurrent falls. Conclusion Compared with previous models, the model for recurrent falls performed favorably while the model for any fall performed similarly. Validation and optimization of the models in other populations are warranted.
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Affiliation(s)
- Bob van de Loo
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Lotta J Seppala
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Nathalie van der Velde
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Stephanie Medlock
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Michael Denkinger
- Institute for Geriatric Research, Ulm University at Agaplesion Bethesda Clinic, and Geriatric Center Ulm, Ulm, Germany
| | | | - Rose-Anne Kenny
- TILDA, Department of Medical Gerontology, Trinity College, Dublin, Ireland
| | - Frank Moriarty
- TILDA, Department of Medical Gerontology, Trinity College, Dublin, Ireland
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | - Bruno Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - André Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ameen Abu-Hanna
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Natasja van Schoor
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
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Hoogendijk EO, Muntinga ME, de Breij S, Huisman M, Klokgieters SS. Inequalities in Frailty Among Older Turkish and Moroccan Immigrants and Native Dutch: Data from the Longitudinal Aging Study Amsterdam. J Immigr Minor Health 2022; 24:385-393. [PMID: 33638120 PMCID: PMC8854297 DOI: 10.1007/s10903-021-01169-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 11/12/2022]
Abstract
Very few studies have investigated frailty among older immigrants in Europe. The aim of the current study was to investigate inequalities in frailty in young-olds related to gender, educational level and country of origin, as well as intersections between these characteristics. Cross-sectional data were used from older Turkish and Moroccan immigrants (n = 466) and native Dutch (n = 1,020), all aged 55-65 years and participating in the Longitudinal Aging Study Amsterdam. Frailty was assessed with a 30-item frailty index, based on the deficit accumulation approach. Frailty was higher among women, lower educated, and people with a migration background. Of all groups considered, frailty levels were the highest among Turkish immigrants. No statistically significant interaction effects between gender, educational level and country of origin were found. When targeting frailty interventions, special attention should be devoted to older immigrants, as they are the most vulnerable group with the highest frailty levels.
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Affiliation(s)
- Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-location VU University medical center, P.O. Box 7057, Amsterdam, 1007MB, the Netherlands.
| | - Maaike E Muntinga
- Department of Ethics, Law and Humanities, Amsterdam UMC-location VU University medical center, Amsterdam, the Netherlands
| | - Sascha de Breij
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-location VU University medical center, P.O. Box 7057, Amsterdam, 1007MB, the Netherlands
| | - Martijn Huisman
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-location VU University medical center, P.O. Box 7057, Amsterdam, 1007MB, the Netherlands
- Faculty of Social Sciences, Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Silvia S Klokgieters
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-location VU University medical center, P.O. Box 7057, Amsterdam, 1007MB, the Netherlands
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Beerepoot S, Luesken SWM, Huisman M, Deeg DJH. Enjoyment of Sexuality and Longevity in Late Midlife and Older Adults: The Longitudinal Ageing Study Amsterdam. J Appl Gerontol 2022; 41:1615-1624. [PMID: 35324364 PMCID: PMC9082964 DOI: 10.1177/07334648221078852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Sexual well-being refers to the evaluation of one’s sexuality. We examined the association of enjoyment of sexuality with longevity and the moderating role of perceived importance of sexuality in this association. In the population-based Longitudinal Ageing Study Amsterdam, the survival of initially 55–84-year-olds was followed during 27 years. Complete data were available for 1042 participants (45.3%). Analyses were adjusted for health-related and psychosocial covariates. 60% of the participants experienced their sexuality as enjoyable and 44% as important. Enjoyment of sexuality was weakly, positively associated with longevity (B[CI] = 0.29[-0.004;0.58]). Perceived importance modified this association: only in those who perceived sexuality as important, the association between enjoyment and longevity was statistically significant (B[CI] = 0.78[0.29;1.27]). Positive affect, functional limitations, emotional loneliness, self-rated health, sense of mastery and alcohol consumption accounted for 35% of the latter association. Interventions may target older adults who perceive sexuality as important but not enjoyable.
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Affiliation(s)
- Shanice Beerepoot
- Department of Epidemiology & Data Science and the Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Suzanne W M Luesken
- Department of Epidemiology & Data Science and the Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology & Data Science and the Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands.,Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology & Data Science and the Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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Kusumastuti S, Hoogendijk EO, Gerds TA, Lund R, Mortensen EL, Huisman M, Westendorp RGJ. Do changes in frailty, physical functioning, and cognitive functioning predict mortality in old age? Results from the Longitudinal Aging Study Amsterdam. BMC Geriatr 2022; 22:193. [PMID: 35279092 PMCID: PMC8917670 DOI: 10.1186/s12877-022-02876-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 02/25/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The ability to accurately predict survival in older adults is crucial as it guides clinical decision making. The added value of using various health indicators as well as changes in these indicators for predicting mortality remains unclear. The aim of this study was to investigate whether changes in health indicators such as frailty and physical performance improve mortality predictions in old age.
Methods
This is a population based prospective cohort study on 995 community-dwelling people aged 68–92 years from the Longitudinal Aging Study Amsterdam. Two measurements at a three-year interval (1995/1996 and 1998/1999) were available for the frailty index, frailty phenotype, grip strength, walking speed, and Mini-Mental State Examination (MMSE). Cox regression was used to analyze mortality risks associated with the current health status and changes in health, with mortality data up to 2017. The extent to which these health indicators improved mortality predictions compared to models with age and sex only was assessed by the area under the receiver operating characteristic curve (AUC).
Results
The AUC of age and sex for five-year mortality was 72.8% (95% CI 69.0 – 76.5) and was the lowest in the oldest old (age > 80.5 years). The added AUC of the current status of health indicators ranged from 0.7 to 3.3%. The added AUC of the three-year change was lower, ranging from -0.0 to 1.1%, whereas the added AUC of three-year change and current status combined was similar to current status alone, ranging from 0.6 to 3.2%. Across age, the added AUC of current status was highest in the oldest old, however there was no such pattern using three-year change. Overall, the frailty index appeared to improve mortality predictions the most, followed by the frailty phenotype, MMSE, grip strength, and walking speed.
Conclusions
Current health status improved mortality predictions better than changes in health. Its contribution was highest in the oldest old, but the added value to models with age and sex only was limited.
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Kalia V, Belsky DW, Baccarelli AA, Miller GW. An exposomic framework to uncover environmental drivers of aging. EXPOSOME 2022; 2:osac002. [PMID: 35295547 PMCID: PMC8917275 DOI: 10.1093/exposome/osac002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 01/02/2023]
Abstract
The exposome, the environmental complement of the genome, is an omics level characterization of an individual's exposures. There is growing interest in uncovering the role of the environment in human health using an exposomic framework that provides a systematic and unbiased analysis of the non-genetic drivers of health and disease. Many environmental toxicants are associated with molecular hallmarks of aging. An exposomic framework has potential to advance understanding of these associations and how modifications to the environment can promote healthy aging in the population. However, few studies have used this framework to study biological aging. We provide an overview of approaches and challenges in using an exposomic framework to investigate environmental drivers of aging. While capturing exposures over a life course is a daunting and expensive task, the use of historical data can be a practical way to approach this research.
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Affiliation(s)
- Vrinda Kalia
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Daniel W Belsky
- Department of Epidemiology and Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Gary W Miller
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
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Stolz E, Mayerl H, Hoogendijk EO. Frailty in the oldest old: is the current level or the rate of change more predictive of mortality? Age Ageing 2022; 51:6527736. [PMID: 35165691 DOI: 10.1093/ageing/afac020] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND It is unclear whether frailty index (FI) change captures mortality risk better than and independently of the current FI level, i.e. whether a regular FI assessment among older adults provides additional insights for mortality risk stratification or not. METHODS We used data from the LASA 75-PLUS-study, which monitored health among 508 older adults (75+) between 2016 and 2019 every 9 months. Joint models for longitudinal and time-to-event data were used to assess the impact of both current FI and within-person FI change during the last year on mortality risk. RESULTS Twenty percent of the participants died during 4.5 years of follow-up. Adding within-person FI change to the current FI model improved model fit and it showed that FI increases during the last year were associated with an increase in mortality risk. Consequently, the effect of the current FI decreased considerably and became statistically non-significant. CONCLUSIONS The rate of FI change was more important than the current FI level for short-term mortality prediction among the oldest old, which highlights the benefits of regular frailty assessments.
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Affiliation(s)
- Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
| | - Hannes Mayerl
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
| | - Emiel O Hoogendijk
- Department of Epidemiology and Biostatistics, Amsterdam UMC—Location VU University Medical Center, Amsterdam, the Netherlands
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