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Singh B, Cadenas-Sanchez C, da Costa BGG, Castro-Piñero J, Chaput JP, Cuenca-García M, Maher C, Marín-Jiménez N, McGrath R, Molina-Garcí P, Myers J, Gower B, Ortega FB, Lang JJ, Tomkinson GR. Comparison of objectively measured and estimated cardiorespiratory fitness to predict all-cause and cardiovascular disease mortality in adults: A systematic review and meta-analysis of 42 studies representing 35 cohorts and 3.8 million observations. JOURNAL OF SPORT AND HEALTH SCIENCE 2024:100986. [PMID: 39271056 DOI: 10.1016/j.jshs.2024.100986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/29/2024] [Accepted: 06/11/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) is a powerful health marker recommended by the American Heart Association as a clinical vital sign. Comparing the predictive validity of objectively measured CRF (the "gold standard") and estimated CRF is clinically relevant because estimated CRF is more feasible. Our objective was to meta-analyze cohort studies to compare the associations of objectively measured, exercise-estimated, and non-exercise-estimated CRF with all-cause and cardiovascular disease (CVD) mortality in adults. METHODS Systematic searches were conducted in 9 databases (MEDLINE, SPORTDiscus, Embase, Scopus, PsycINFO, Web of Science, PubMed, CINAHL, and the Cochrane Library) up to April 11, 2024. We included full-text refereed cohort studies published in English that quantified the association (using risk estimates with 95% confidence intervals (95%CIs)) of objectively measured, exercise-estimated, and non-exercise-estimated CRF with all-cause and CVD mortality in adults. CRF was expressed as metabolic equivalents (METs) of task. Pooled relative risks (RR) for all-cause and CVD mortality per 1-MET (3.5 mL/kg/min) higher level of CRF were quantified using random-effects models. RESULTS Forty-two studies representing 35 cohorts and 3,813,484 observations (81% male) (362,771 all-cause and 56,471 CVD deaths) were included. The pooled RRs for all-cause and CVD mortality per higher MET were 0.86 (95%CI: 0.83-0.88) and 0.84 (95%CI: 0.80-0.87), respectively. For both all-cause and CVD mortality, there were no statistically significant differences in RR per higher MET between objectively measured (RR range: 0.86-0.90) and maximal exercise-estimated (RR range: 0.85-0.86), submaximal exercise-estimated (RR range: 0.91-0.94), and non-exercise-estimated CRF (RR range: 0.81-0.85). CONCLUSION Objectively measured and estimated CRF showed similar dose-response associations for all-cause and CVD mortality in adults. Estimated CRF could provide a practical and robust alternative to objectively measured CRF for assessing mortality risk across diverse populations. Our findings underscore the health-related benefits of higher CRF and advocate for its integration into clinical practice to enhance risk stratification.
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Affiliation(s)
- Ben Singh
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia.
| | - Cristina Cadenas-Sanchez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18071, Spain; Department of Cardiology, Stanford University, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Granada 18071, Spain
| | - Bruno G G da Costa
- Department of Kinesiology and Physical Education, McGill University, Montreal, QC H2W 1S4, Canada
| | - José Castro-Piñero
- GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Puerto Real 11519, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cadiz 11009, Spain
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada; Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - Magdalena Cuenca-García
- GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Puerto Real 11519, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cadiz 11009, Spain
| | - Carol Maher
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia
| | - Nuria Marín-Jiménez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18071, Spain; GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Puerto Real 11519, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cadiz 11009, Spain
| | - Ryan McGrath
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia; Healthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND 58102, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA; Fargo VA Healthcare System, Fargo, ND 58102, USA; Department of Geriatrics, University of North Dakota, Grand Forks, ND 58202, USA
| | - Pablo Molina-Garcí
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18071, Spain; Instituto de Investigación Biosanitaria ibs. Granada, Granada 18014, Spain
| | - Jonathan Myers
- Department of Cardiology, Stanford University, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA
| | - Bethany Gower
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18071, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Granada 18071, Spain; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä 40014, Finland
| | - Justin J Lang
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia; Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON K1A 0K9, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia
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Lerfald M, Allore H, Nilsen TIL, Eldholm RS, Martinez-Velilla N, Selbæk G, Ernstsen L. Longitudinal Patterns of Systolic Blood Pressure, Diastolic Blood Pressure, Cardiorespiratory Fitness, and Their Association With Dementia Risk: The HUNT Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae161. [PMID: 38894618 PMCID: PMC11266981 DOI: 10.1093/gerona/glae161] [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: 02/09/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND High blood pressure and poor cardiorespiratory fitness are independent risk factors for dementia. However, few studies have examined if combined longitudinal patterns of these modifiable risk factors are associated with dementia risk. METHODS In this prospective cohort study, we used data from the population-based Trøndelag Health (HUNT) Study, Norway. We applied group-based multidimensional trajectory modeling to identify age-specific multidimensional trajectories of SBP, DBP, and estimated cardiorespiratory fitness across 3 surveys (HUNT1, 1984-1986 to HUNT3, 2006-2008). Dementia was diagnosed in the HUNT4 70+ substudy in 2017-2019. We used multivariate logistic regression to estimate odds ratios (ORs) and risk differences (RDs) of dementia. RESULTS In total, 7 594 participants (54.9% women) were included, with a mean age of 44.7 (SD 6.3) years at HUNT1. Dementia was diagnosed in 1 062 (14.0%) participants. We identified 2 multidimensional trajectories throughout adulthood within 3 age groups: one with higher systolic blood pressure (SBP) and diastolic blood pressure (DBP), and lower estimated cardiorespiratory fitness (the poorer group), and one with lower SBP and DBP, and higher cardiorespiratory fitness (the better group). After adjustment for sex, apolipoprotein E ε4 status, education, marital status, and diabetes, the better group had consistently lower risk of dementia in all age groups with the lowest OR in the middle-aged group of 0.63 (95% confidence intervals [95% CI]: 0.51, 0.78) with corresponding RD of -0.07 (95% CI: -0.10, -0.04). CONCLUSIONS Having a beneficial multidimensional trajectory of SBP, DBP, and cardiorespiratory fitness in adulthood was associated with reduced dementia risk. Aiming for optimal SBP, DBP, and estimated cardiorespiratory fitness throughout adulthood may reduce dementia risk.
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Affiliation(s)
- Maren Lerfald
- Faculty of Medicine and Health Science, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Heather Allore
- Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Tom I L Nilsen
- Faculty of Medicine and Health Science, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Anaesthesia and Intensive Care, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Rannveig S Eldholm
- Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Faculty of Medicine and Health Science, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Geir Selbæk
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Oslo, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Linda Ernstsen
- Faculty of Medicine and Health Science, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Lang JJ, Prince SA, Merucci K, Cadenas-Sanchez C, Chaput JP, Fraser BJ, Manyanga T, McGrath R, Ortega FB, Singh B, Tomkinson GR. Cardiorespiratory fitness is a strong and consistent predictor of morbidity and mortality among adults: an overview of meta-analyses representing over 20.9 million observations from 199 unique cohort studies. Br J Sports Med 2024; 58:556-566. [PMID: 38599681 PMCID: PMC11103301 DOI: 10.1136/bjsports-2023-107849] [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] [Accepted: 03/18/2024] [Indexed: 04/12/2024]
Abstract
OBJECTIVE To examine and summarise evidence from meta-analyses of cohort studies that evaluated the predictive associations between baseline cardiorespiratory fitness (CRF) and health outcomes among adults. DESIGN Overview of systematic reviews. DATA SOURCE Five bibliographic databases were searched from January 2002 to March 2024. RESULTS From the 9062 papers identified, we included 26 systematic reviews. We found eight meta-analyses that described five unique mortality outcomes among general populations. CRF had the largest risk reduction for all-cause mortality when comparing high versus low CRF (HR=0.47; 95% CI 0.39 to 0.56). A dose-response relationship for every 1-metabolic equivalent of task (MET) higher level of CRF was associated with a 11%-17% reduction in all-cause mortality (HR=0.89; 95% CI 0.86 to 0.92, and HR=0.83; 95% CI 0.78 to 0.88). For incident outcomes, nine meta-analyses described 12 unique outcomes. CRF was associated with the largest risk reduction in incident heart failure when comparing high versus low CRF (HR=0.31; 95% CI 0.19 to 0.49). A dose-response relationship for every 1-MET higher level of CRF was associated with a 18% reduction in heart failure (HR=0.82; 95% CI 0.79 to 0.84). Among those living with chronic conditions, nine meta-analyses described four unique outcomes in nine patient groups. CRF was associated with the largest risk reduction for cardiovascular mortality among those living with cardiovascular disease when comparing high versus low CRF (HR=0.27; 95% CI 0.16 to 0.48). The certainty of the evidence across all studies ranged from very low-to-moderate according to Grading of Recommendations, Assessment, Development and Evaluations. CONCLUSION We found consistent evidence that high CRF is strongly associated with lower risk for a variety of mortality and incident chronic conditions in general and clinical populations.
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Affiliation(s)
- Justin J Lang
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Stephanie A Prince
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Cristina Cadenas-Sanchez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada; CIBEROBN, ISCIII, Granada, Andalucía, Spain
- Stanford University, Department of Cardiology; and Veterans Affair Palo Alto Health Care System, Palo Alto, California, USA
| | - Jean-Philippe Chaput
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Brooklyn J Fraser
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Taru Manyanga
- Division of Medical Sciences, University of Northern British Columbia, Prince George, British Columbia, Canada
| | - Ryan McGrath
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- Fargo VA Healthcare System, Fargo, North Dakota, USA
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, North Dakota, USA
- Department of Geriatrics, University of North Dakota, Grand Forks, North Dakota, USA
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada; CIBEROBN, ISCIII, Granada, Andalucía, Spain
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Ben Singh
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
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Gafni T, Weinstein G, Leonard D, Barlow CE, DeFina LF, Pettee Gabriel K, Berry JD, Shuval K. Independent and joint associations of cardiorespiratory fitness and BMI with dementia risk: the Cooper Center Longitudinal Study. BMJ Open 2023; 13:e075571. [PMID: 38086580 PMCID: PMC10729062 DOI: 10.1136/bmjopen-2023-075571] [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: 05/12/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
OBJECTIVE This study aimed to examine the association of midlife fitness and body mass index (BMI) with incident dementia later in life. DESIGN AND PARTICIPANTS A cohort study of 6428 individuals (mean age 50.9±7.6 years) from the Cooper Center Longitudinal Study. MEASURES Cardiorespiratory fitness and BMI were assessed twice (1970-1999) during visits to the Cooper Clinic, a preventive medicine clinic in Dallas, Texas. These measures were examined as continuous and categorical variables. As continuous variables, fitness and BMI were examined at baseline (averaged of two examinations) and as absolute change between exams (mean time 2.1±1.8 years). Variables were categorised: unfit versus fit and normal versus overweight/obese. Medicare claims data were used to obtain all-cause dementia incidence (1999-2009). Mean follow-up between midlife examinations and Medicare surveillance was 15.7 ((SD=6.2) years. Multivariable models were used to assess the associations between fitness, BMI and dementia. RESULTS During 40 773 person years of Medicare surveillance, 632 cases of dementia were identified. After controlling for BMI and covariates, each 1-metabolic equivalent increment in fitness was associated with 5% lower (HR 0.95; 95% CI 0.90 to 0.99) dementia risk. In comparison, after controlling for fitness and covariates, each 1 kg/m2 increment in BMI was associated with a 3.0% (HR 1.03; 95% CI 1.00 to 1.07) higher risk for dementia, yet without significance (p=0.051). Similar findings were observed when the exposures were categorised. Changes in fitness and BMI between examinations were not related to dementia. Jointly, participants who were unfit and overweight/obese had the highest (HR 2.28 95% CI 1.57 to 3.32) dementia risk compared with their fit and normal weight counterparts. CONCLUSION Lower midlife fitness is a risk marker for dementia irrespective of weight status. Being unfit coupled with overweight/obese status might increase one's risk for dementia even further.
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Affiliation(s)
- Tal Gafni
- Department of Epidemiology, University of Haifa, Haifa, Israel
| | - Galit Weinstein
- Department of Epidemiology, University of Haifa, Haifa, Israel
| | - David Leonard
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| | - Carolyn E Barlow
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| | - Laura F DeFina
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabam, USA
| | | | - Kerem Shuval
- Department of Research, The Cooper Institute, Dallas, Texas, USA
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5
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Doughty KN, Blazek J, Leonard D, Barlow CE, DeFina LF, Omree Shuval, Farrell SW, Shuval K. Omega-3 index, cardiorespiratory fitness, and cognitive function in mid-age and older adults. Prev Med Rep 2023; 35:102364. [PMID: 37601829 PMCID: PMC10432782 DOI: 10.1016/j.pmedr.2023.102364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/22/2023] Open
Abstract
Higher levels of omega-3 fatty acids in red blood cell membranes (omega-3 index or O3I) and cardiorespiratory fitness (CRF) are each associated with reduced cognitive impairment, but little research has examined the relationship between O3I and cognitive function while accounting for CRF. We analyzed cross-sectional data from 5,464 healthy men and women aged 55-85 years who had preventive medical examinations between 2009 and 2023. Primary exposures included O3I (<4.0%, 4.0-7.9%, or ≥ 8.0%) and age- and sex-based CRF quintile (1 = low, 2-3 = moderate, 4-5 = high). Cognitive impairment was defined as a Montreal Cognitive Assessment score of ≤ 25. We used Poisson regression to estimate relative risks (RR) of cognitive impairment, controlling for covariates. O3I < 4% was associated with increased cognitive impairment relative to ≥ 8.0% (RR, 1.21; 95% CI, 1.01-1.44) in a partially adjusted model. This association did not remain statistically significant in the fully adjusted model which included CRF. Low versus high CRF was associated with cognitive impairment (RR, 1.28; 95% CI, 1.07-1.53), independent of O3I and clinical biomarkers. The interaction between CRF and O3I was not significant (P = 0.8). In joint association analysis, risk of cognitive impairment was elevated with lower omega-3 index or CRF or both. Additional research is needed to fully understand the association between O3I and cognitive function at varying CRF levels.
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Affiliation(s)
- Kimberly N. Doughty
- Marion Peckham Egan School of Nursing & Health Studies, Fairfield University, Fairfield, CT, USA
| | - Juliana Blazek
- Department of Research, The Cooper Institute, Dallas, TX, USA
| | - David Leonard
- Department of Research, The Cooper Institute, Dallas, TX, USA
| | | | - Laura F. DeFina
- Department of Research, The Cooper Institute, Dallas, TX, USA
| | | | | | - Kerem Shuval
- Department of Research, The Cooper Institute, Dallas, TX, USA
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Feter N, de Paula D, Leite JS, Caputo EL, Rombaldi AJ. The association of aerobic and muscular fitness with cognitive impairment: Findings from a nationally representative survey. Psychiatry Res 2023; 326:115360. [PMID: 37494879 DOI: 10.1016/j.psychres.2023.115360] [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: 04/10/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023]
Abstract
This study aimed to characterize the combined association between cardiorespiratory fitness (CRF), muscular strength, and cognitive outcomes in middle-aged and older adults from low and middle-income countries (LMICs). We analyzed cross-sectional, population-based data from adults aged 50 years or older from six LMICs. Mild cognitive impairment (MCI) was defined according to the National Institute on Aging-Alzheimer's Association criteria. Estimated CRF (eCRF) was calculated using previously validated, sex-specific equations. Handgrip strength (HS) was used as an indicator of muscular strength. We used linear and robust Poisson regression models to examine the associations between eCRF, HS, and MCI. Data from 28,339 adults (63.1 [9.5] years) were analyzed. Participants with low eCRF (PR: 1.45; 95%CI: 1.11, 1.90) and HS (PR: 1.92; 95%CI: 1.79, 2.04) were more prone to have MCI. Participants with low HS showed higher likelihood of MCI than those with preserved HS through the CRF range; however, this difference was not seen among highly fit individuals (10 METs or higher). Each 1-MET (PR: 0.77; 95%CI: 0.67, 0.86) and 5-kgf (PR: 0.63; 95%CI: 0.48, 0.79) increase was associated with a reduction in the likelihood of MCI. eCRF and HS were strongly and independently associated with MCI in middle-aged and older adults.
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Affiliation(s)
- Natan Feter
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
| | - Danilo de Paula
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jayne S Leite
- Post Graduate Program in Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Eduardo L Caputo
- Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, Rhode Island, United States
| | - Airton J Rombaldi
- Post Graduate Program in Physical Education, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
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7
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Bukhbinder AS, Hinojosa M, Harris K, Li X, Farrell CM, Shyer M, Goodwin N, Anjum S, Hasan O, Cooper S, Sciba L, Vargas A, Hunter DH, Ortiz GJ, Chung K, Cui L, Zhang GQ, Fisher-Hoch SP, McCormick JB, Schulz PE. Population-Based Mini-Mental State Examination Norms in Adults of Mexican Heritage in the Cameron County Hispanic Cohort. J Alzheimers Dis 2023; 92:1323-1339. [PMID: 36872776 DOI: 10.3233/jad-220934] [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: 03/06/2023]
Abstract
BACKGROUND Accurately identifying cognitive changes in Mexican American (MA) adults using the Mini-Mental State Examination (MMSE) requires knowledge of population-based norms for the MMSE, a scale which has widespread use in research settings. OBJECTIVE To describe the distribution of MMSE scores in a large cohort of MA adults, assess the impact of MMSE requirements on their clinical trial eligibility, and explore which factors are most strongly associated with their MMSE scores. METHODS Visits between 2004-2021 in the Cameron County Hispanic Cohort were analyzed. Eligible participants were ≥18 years old and of Mexican descent. MMSE distributions before and after stratification by age and years of education (YOE) were assessed, as was the proportion of trial-aged (50-85- year-old) participants with MMSE <24, a minimum MMSE cutoff most frequently used in Alzheimer's disease (AD) clinical trials. As a secondary analysis, random forest models were constructed to estimate the relative association of the MMSE with potentially relevant variables. RESULTS The mean age of the sample set (n = 3,404) was 44.4 (SD, 16.0) years old and 64.5% female. Median MMSE was 28 (IQR, 28-29). The percentage of trial-aged participants (n = 1,267) with MMSE <24 was 18.6%; 54.3% among the subset with 0-4 YOE (n = 230). The five variables most associated with the MMSE in the study sample were education, age, exercise, C-reactive protein, and anxiety. CONCLUSION The minimum MMSE cutoffs in most phase III prodromal-to-mild AD trials would exclude a significant proportion of trial-aged participants in this MA cohort, including over half of those with 0-4 YOE.
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Affiliation(s)
- Avram S Bukhbinder
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,Division of Pediatric Neurology, Massachusetts General Hospital, Boston, MA
| | - Miriam Hinojosa
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kristofer Harris
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xiaojin Li
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Christine M Farrell
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Madison Shyer
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nathan Goodwin
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sahar Anjum
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Omar Hasan
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan Cooper
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lois Sciba
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Amanda Vargas
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - David H Hunter
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guadalupe J Ortiz
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Karen Chung
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Licong Cui
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guo-Qiang Zhang
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan P Fisher-Hoch
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Brownsville, TX, USA
| | - Joseph B McCormick
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Brownsville, TX, USA
| | - Paul E Schulz
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
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8
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Economic burden of low cardiorespiratory fitness in Canada. Prev Med 2023; 168:107424. [PMID: 36682702 DOI: 10.1016/j.ypmed.2023.107424] [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: 09/12/2022] [Revised: 01/03/2023] [Accepted: 01/12/2023] [Indexed: 01/22/2023]
Abstract
The objective of this study was to estimate health care and health-related productivity costs associated with low cardiorespiratory fitness (CRF) in Canadian adults. We also estimated costs that would be avoided by a 10 percentage point prevalence reduction in low CRF. A prevalence-based approach was used to estimate the economic costs associated with low CRF. Three pieces of information were used: (1) the pooled relative risk estimates of adverse health outcomes consistently associated with low CRF obtained from meta-analyses of prospective cohort studies; (2) the prevalence of low CRF in Canadian men and women obtained from a nationally representative sample; and (3) the direct (health care) and indirect (lost productivity due to premature mortality) costs of the adverse health outcomes based on the Economic Burden of Illness in Canada data. We estimated the total annual economic burden of low CRF in Canadian adults at CAD$3.6 billion, representing 2.7% of the overall Canadian burden of illness costs in 2021. The three most expensive chronic diseases attributable to low CRF were type 2 diabetes (CAD$1.3 billion), heart disease (CAD$701 million), and depression/anxiety (CAD$565 million). Prescription drug expenditures and hospital care expenditures were the main contributors to the total economic burden. An absolute 10% reduction in the prevalence of low CRF (from 45.5% to 35.5%) would save an estimated CAD$644 million per year in costs. In conclusion, low CRF is an important contributor to the economic burden of illness in Canada. Evidence-based and cost-effective strategies that aim to increase CRF at the population level may help alleviate health care costs and improve health.
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Epidemiological, mechanistic, and practical bases for assessment of cardiorespiratory fitness and muscle status in adults in healthcare settings. Eur J Appl Physiol 2023; 123:945-964. [PMID: 36683091 PMCID: PMC10119074 DOI: 10.1007/s00421-022-05114-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/08/2022] [Indexed: 01/24/2023]
Abstract
Given their importance in predicting clinical outcomes, cardiorespiratory fitness (CRF) and muscle status can be considered new vital signs. However, they are not routinely evaluated in healthcare settings. Here, we present a comprehensive review of the epidemiological, mechanistic, and practical bases of the evaluation of CRF and muscle status in adults in primary healthcare settings. We highlight the importance of CRF and muscle status as predictors of morbidity and mortality, focusing on their association with cardiovascular and metabolic outcomes. Notably, adults in the best quartile of CRF and muscle status have as low as one-fourth the risk of developing some of the most common chronic metabolic and cardiovascular diseases than those in the poorest quartile. The physiological mechanisms that underlie these epidemiological associations are addressed. These mechanisms include the fact that both CRF and muscle status reflect an integrative response to the body function. Indeed, muscle plays an active role in the development of many diseases by regulating the body's metabolic rate and releasing myokines, which modulate metabolic and cardiovascular functions. We also go over the most relevant techniques for assessing peak oxygen uptake as a surrogate of CRF and muscle strength, mass, and quality as surrogates of muscle status in adults. Finally, a clinical case of a middle-aged adult is discussed to integrate and summarize the practical aspects of the information presented throughout. Their clinical importance, the ease with which we can assess CRF and muscle status using affordable techniques, and the availability of reference values, justify their routine evaluation in adults across primary healthcare settings.
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Massett MP, Matejka C, Kim H. Systematic Review and Meta-Analysis of Endurance Exercise Training Protocols for Mice. Front Physiol 2021; 12:782695. [PMID: 34950054 PMCID: PMC8691460 DOI: 10.3389/fphys.2021.782695] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/05/2021] [Indexed: 11/13/2022] Open
Abstract
Inbred and genetically modified mice are frequently used to investigate the molecular mechanisms responsible for the beneficial adaptations to exercise training. However, published paradigms for exercise training in mice are variable, making comparisons across studies for training efficacy difficult. The purpose of this systematic review and meta-analysis was to characterize the diversity across published treadmill-based endurance exercise training protocols for mice and to identify training protocol parameters that moderate the adaptations to endurance exercise training in mice. Published studies were retrieved from PubMed and EMBASE and reviewed for the following inclusion criteria: inbred mice; inclusion of a sedentary group; and exercise training using a motorized treadmill. Fifty-eight articles met those inclusion criteria and also included a "classical" marker of training efficacy. Outcome measures included changes in exercise performance, V ˙ O2max, skeletal muscle oxidative enzyme activity, blood lactate levels, or exercise-induced cardiac hypertrophy. The majority of studies were conducted using male mice. Approximately 48% of studies included all information regarding exercise training protocol parameters. Meta-analysis was performed using 105 distinct training groups (i.e., EX-SED pairs). Exercise training had a significant effect on training outcomes, but with high heterogeneity (Hedges' g=1.70, 95% CI=1.47-1.94, Tau2=1.14, I2 =80.4%, prediction interval=-0.43-3.84). Heterogeneity was partially explained by subgroup differences in treadmill incline, training duration, exercise performance test type, and outcome variable. Subsequent analyses were performed on subsets of studies based on training outcome, exercise performance, or biochemical markers. Exercise training significantly improved performance outcomes (Hedges' g=1.85, 95% CI=1.55-2.15). Subgroup differences were observed for treadmill incline, training duration, and exercise performance test protocol on improvements in performance. Biochemical markers also changed significantly with training (Hedges' g=1.62, 95% CI=1.14-2.11). Subgroup differences were observed for strain, sex, exercise session time, and training duration. These results demonstrate there is a high degree of heterogeneity across exercise training studies in mice. Training duration had the most significant impact on training outcome. However, the magnitude of the effect of exercise training varies based on the marker used to assess training efficacy.
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Affiliation(s)
- Michael P Massett
- Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States
| | - Caitlyn Matejka
- Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States
| | - Hyoseon Kim
- Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States
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