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Kalu ME, Bello-Haas VD, Griffin M, Boamah S, Harris J, Zaide M, Rayner D, Khattab N, Abrahim S. A Scoping Review of Personal, Financial, and Environmental Determinants of Mobility Among Older Adults. Arch Phys Med Rehabil 2023; 104:2147-2168. [PMID: 37119957 DOI: 10.1016/j.apmr.2023.04.007] [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: 03/27/2022] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 05/01/2023]
Abstract
OBJECTIVE To synthesize available evidence of factors comprising the personal, financial, and environmental mobility determinants and their association with older adults' self-reported and performance-based mobility outcomes. DATA SOURCES PubMed, EMBASE, PsychINFO, Web of Science, AgeLine, Sociological Abstract, Allied and Complementary Medicine Database, and Cumulative Index to Nursing and Allied Health Literature databases search for articles published from January 2000 to December 2021. STUDY SECTION Using predefined inclusion and exclusion criteria, multiple reviewers independently screened 27,293 retrieved citations from databases, of which 422 articles underwent full-text screening, and 300 articles were extracted. DATA EXTRACTION The 300 articles' information, including study design, sample characteristics including sample size, mean age and sex, factors within each determinant, and their associations with mobility outcomes, were extracted. DATA SYNTHESIS Because of the heterogeneity of the reported associations, we followed Barnett et al's study protocol and reported associations between factors and mobility outcomes by analyses rather than by article to account for multiple associations generated in 1 article. Qualitative data were synthesized using content analysis. A total of 300 articles were included with 269 quantitative, 22 qualitative, and 9 mixed-method articles representing personal (n=80), and financial (n=1), environmental (n=98), more than 1 factor (n=121). The 278 quantitative and mixed-method articles reported 1270 analyses; 596 (46.9%) were positively and 220 (17.3%) were negatively associated with mobility outcomes among older adults. Personal (65.2%), financial (64.6%), and environmental factors (62.9%) were associated with mobility outcomes, mainly in the expected direction with few exceptions in environmental factors. CONCLUSIONS Gaps exist in understanding the effect of some environmental factors (eg, number and type of street connections) and the role of gender on older adults' walking outcomes. We have provided a comprehensive list of factors with each determinant, allowing the creation of core outcome set for a specific context, population, or other forms of mobility, for example, driving.
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Affiliation(s)
- Michael E Kalu
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada.
| | - Vanina Dal Bello-Haas
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Meridith Griffin
- Department of Health, Aging & Society, Faculty of Social Science, McMaster University, Hamilton, Canada
| | - Sheila Boamah
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Jocelyn Harris
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Mashal Zaide
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Daniel Rayner
- Department of Health Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Nura Khattab
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Canada
| | - Salma Abrahim
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Canada
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Sr PAA, DeFeis B, De Wit L, O'Shea D, Mejia A, Chandler M, Locke DEC, Fields J, Phatak V, Dean PM, Crook J, Smith G. Functional ability is associated with higher adherence to behavioral interventions in mild cognitive impairment. Clin Neuropsychol 2019; 34:937-955. [PMID: 31608773 DOI: 10.1080/13854046.2019.1672792] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Objective: Behavioral interventions during early memory decline hold promise in delaying the development of dementia. In the present study, participants in a multimodal behavioral intervention study were assessed for post-intervention adherence and predictors of adherence.Methods: Participants (N = 272, mean age = 75.04 ± 7.54) diagnosed with amnestic Mild Cognitive Impairment (aMCI) were assigned to intervention groups receiving four out of five behavioral intervention components, including yoga, memory compensation training, computerized cognitive training, support groups, and/or wellness education. Length of the intervention was 10 days, 4 h per day, with post-intervention follow-up at 6, 12, and 18 months.Results: Two-hundred and thirty-seven participants completed the 6-month post-intervention follow-up measures, 228 participants completed the 12-month measures, and 218 participants completed the 18-month measures. Participants fully adhered to a mean of 2 out of the 4 taught intervention components. Eighty-nine percent of participants were at least partially adherent to one or more taught intervention components at 6-, 12-, and 18-month post-intervention follow-up. Physical activity was the most adhered to intervention while group support was the least adhered to intervention across all three follow-up time-points. Higher educational level, higher baseline depressive symptoms, higher baseline global cognitive functioning, and better baseline and concurrent functional abilities were associated post-intervention adherence.Conclusion: Changes in functional abilities are associated with disease progression among persons with aMCI. In the present study, individuals with aMCI who have higher education, higher depressive symptoms, and better baseline functioning abilities are more likely to adhere to behavioral intervention components over time. Post-intervention adherence also associates with concurrent daily function.
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Affiliation(s)
- Priscilla A Amofa Sr
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Brittany DeFeis
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Liselotte De Wit
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Deirdre O'Shea
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Andrea Mejia
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Melanie Chandler
- Department of Psychiatry and Psychology, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Dona E C Locke
- Department of Psychiatry and Psychology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Julie Fields
- Department of Psychiatry and Psychology, Mayo Clinic Minnesota, Rochester, MN, USA
| | - Vaishali Phatak
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Pamela M Dean
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Julia Crook
- Division of Biomedical Statistics and Informatics, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Glenn Smith
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.,Department of Psychiatry and Psychology, Mayo Clinic Minnesota, Rochester, MN, USA
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Gielen M, Hageman GJ, Antoniou EE, Nordfjall K, Mangino M, Balasubramanyam M, de Meyer T, Hendricks AE, Giltay EJ, Hunt SC, Nettleton JA, Salpea KD, Diaz VA, Farzaneh-Far R, Atzmon G, Harris SE, Hou L, Gilley D, Hovatta I, Kark JD, Nassar H, Kurz DJ, Mather KA, Willeit P, Zheng YL, Pavanello S, Demerath EW, Rode L, Bunout D, Steptoe A, Boardman L, Marti A, Needham B, Zheng W, Ramsey-Goldman R, Pellatt AJ, Kaprio J, Hofmann JN, Gieger C, Paolisso G, Hjelmborg JBH, Mirabello L, Seeman T, Wong J, van der Harst P, Broer L, Kronenberg F, Kollerits B, Strandberg T, Eisenberg DTA, Duggan C, Verhoeven JE, Schaakxs R, Zannolli R, dos Reis RMR, Charchar FJ, Tomaszewski M, Mons U, Demuth I, Iglesias Molli AE, Cheng G, Krasnienkov D, D'Antono B, Kasielski M, McDonnell BJ, Ebstein RP, Sundquist K, Pare G, Chong M, Zeegers MP. Body mass index is negatively associated with telomere length: a collaborative cross-sectional meta-analysis of 87 observational studies. Am J Clin Nutr 2018; 108:453-475. [PMID: 30535086 PMCID: PMC6454526 DOI: 10.1093/ajcn/nqy107] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 04/27/2018] [Indexed: 12/12/2022] Open
Abstract
Background Even before the onset of age-related diseases, obesity might be a contributing factor to the cumulative burden of oxidative stress and chronic inflammation throughout the life course. Obesity may therefore contribute to accelerated shortening of telomeres. Consequently, obese persons are more likely to have shorter telomeres, but the association between body mass index (BMI) and leukocyte telomere length (TL) might differ across the life span and between ethnicities and sexes. Objective A collaborative cross-sectional meta-analysis of observational studies was conducted to investigate the associations between BMI and TL across the life span. Design Eighty-seven distinct study samples were included in the meta-analysis capturing data from 146,114 individuals. Study-specific age- and sex-adjusted regression coefficients were combined by using a random-effects model in which absolute [base pairs (bp)] and relative telomere to single-copy gene ratio (T/S ratio) TLs were regressed against BMI. Stratified analysis was performed by 3 age categories ("young": 18-60 y; "middle": 61-75 y; and "old": >75 y), sex, and ethnicity. Results Each unit increase in BMI corresponded to a -3.99 bp (95% CI: -5.17, -2.81 bp) difference in TL in the total pooled sample; among young adults, each unit increase in BMI corresponded to a -7.67 bp (95% CI: -10.03, -5.31 bp) difference. Each unit increase in BMI corresponded to a -1.58 × 10(-3) unit T/S ratio (0.16% decrease; 95% CI: -2.14 × 10(-3), -1.01 × 10(-3)) difference in age- and sex-adjusted relative TL in the total pooled sample; among young adults, each unit increase in BMI corresponded to a -2.58 × 10(-3) unit T/S ratio (0.26% decrease; 95% CI: -3.92 × 10(-3), -1.25 × 10(-3)). The associations were predominantly for the white pooled population. No sex differences were observed. Conclusions A higher BMI is associated with shorter telomeres, especially in younger individuals. The presently observed difference is not negligible. Meta-analyses of longitudinal studies evaluating change in body weight alongside change in TL are warranted.
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Affiliation(s)
- Marij Gielen
- Departments of Complex Genetics,Address correspondence to MG (e-mail: )
| | - Geja J Hageman
- Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht University, Netherlands
| | - Evangelia E Antoniou
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | | | - Massimo Mangino
- Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom,NIHR Biomedical Research Center at Guy's and St. Thomas’ Foundation Trust, London, United Kingdom
| | | | - Tim de Meyer
- Department of Mathematical Modeling, Statistics, and Bioinformatics, Ghent University, Ghent, Belgium
| | - Audrey E Hendricks
- Population Sciences Branch of the National Heart, Lung, and Blood Institute (NHLBI), NIH, NHLBI's Framingham Heart Study, Framingham, MA,Department of Mathematical and Statistical Sciences, University of Colorado–Denver, Denver, CO
| | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands
| | - Steven C Hunt
- Cardiovascular Genetics Division, Department of Medicine, University of Utah, Salt Lake City, UT
| | - Jennifer A Nettleton
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center, Houston, TX
| | - Klelia D Salpea
- Department of Molecular Biology and Genetics, BSRC “Alexander Fleming,” Athens, Greece
| | - Vanessa A Diaz
- Department of Family Medicine, Medical University of South Carolina, Charleston, SC
| | - Ramin Farzaneh-Far
- Division of Cardiology, San Francisco General Hospital, San Francisco, CA
| | - Gil Atzmon
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, and Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Sarah E Harris
- Center for Cognitive Aging and Cognitive Epidemiology and Medical Genetics Section and Center for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Lifang Hou
- Department of Preventive Medicine and Robert H Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - David Gilley
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Iiris Hovatta
- Department of Biosciences, University of Helsinki, Helsinki, Finland,Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Jeremy D Kark
- Epidemiology Unit, Hebrew University–Hadassah School of Public Health and Community Medicine, Jerusalem, Israel
| | - Hisham Nassar
- Department of Cardiology, Hadassah University Medical Center, Jerusalem, Israel
| | - David J Kurz
- Department of Cardiology, Triemli Hospital, Zurich, Switzerland
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Psychiatry, UNSW Australia, Sydney, Australia
| | - Peter Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria, and Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Yun-Ling Zheng
- Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC
| | - Sofia Pavanello
- Department of Cardiac, Thoracic, and Vascular Sciences, Unit of Occupational Medicine, University of Padova, Padova, Italy
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN
| | - Line Rode
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Daniel Bunout
- Institute of Nutrition and Food Technology University of Chile, Santiago, Chile
| | - Andrew Steptoe
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Lisa Boardman
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic College of Medicine, Rochester, MN
| | - Amelia Marti
- Department of Nutrition, Food Science, and Physiology, University of Navarra, Pamplona, Spain,Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain,CIBER Fisiopatología de la Obesidad y Nutrición, (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Belinda Needham
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Jaakko Kaprio
- Department of Public Health,Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Christian Gieger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Giuseppe Paolisso
- Department of Medical, Surgical, Neurological, Metabolic, and Geriatric Sciences, Second University of Naples, Naples, Italy
| | - Jacob B H Hjelmborg
- Department of Epidemiology, Biostatistics, and Biodemography, Institute of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Lisa Mirabello
- Department of Medical, Surgical, Neurological, Metabolic, and Geriatric Sciences, Second University of Naples, Naples, Italy
| | - Teresa Seeman
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Jason Wong
- Stanford University School of Medicine, Stanford, CA
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular, and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular, and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Timo Strandberg
- University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Center for Life Course Epidemiology, University of Oulu, Oulu, Finland
| | - Dan T A Eisenberg
- Department of Anthropology and Center for Studies in Demography and Ecology, University of Washington, Seattle, WA
| | | | - Josine E Verhoeven
- Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Roxanne Schaakxs
- Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Raffaela Zannolli
- Pediatrics Unit, Azienda Ospedaliera Universitaria, Senese/University of Siena, Policlinico Le Scotte, Siena, Italy
| | - Rosana M R dos Reis
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Fadi J Charchar
- School of Science and Technology, Federation University Australia, Department of Physiology, University of Melbourne, Melbourne, Australia, and Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Maciej Tomaszewski
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology, and Health, University of Manchester, Manchester, United Kingdom,Division of Medicine, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research,Cancer Prevention Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin (corporate member of Freie Universität Berlin), Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Andrea Elena Iglesias Molli
- CONICET-Universidad de Buenos Aires. Instituto de Inmunología, Genética y Metabolismo (INIGEM). Laboratorio de Diabetes y Metabolismo, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Guo Cheng
- Department of Nutrition, Food Safety, and Toxicology, West China School of Public Health, Sichuan University, Chengdu, China
| | - Dmytro Krasnienkov
- Department of Epigenetics, DF Chebotarev State Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine
| | - Bianca D'Antono
- Research Center, Montreal Heart Institute, and Psychology Department, University of Montreal, Montreal, Quebec, Canada
| | - Marek Kasielski
- Bases of Clinical Medicine Teaching Center, Medical University of Lodz, Lodz, Poland
| | - Barry J McDonnell
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom
| | | | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Region Skåne, Lund, Sweden
| | - Guillaume Pare
- Population Health Research Institute and McMaster University, Hamilton, Canada
| | - Michael Chong
- Population Health Research Institute and McMaster University, Hamilton, Canada
| | - Maurice P Zeegers
- Departments of Complex Genetics,CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
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