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Zaccardi F, Rowlands AV, Dempsey PC, Razieh C, Henson J, Goldney J, Maylor BD, Bhattacharjee A, Chudasama Y, Edwardson C, Laukkanen JA, Ekelund U, Davies MJ, Khunti K, Yates T. Interplay between physical activity volume and intensity with modeled life expectancy in women and men: A prospective cohort analysis. JOURNAL OF SPORT AND HEALTH SCIENCE 2024:100970. [PMID: 39181446 DOI: 10.1016/j.jshs.2024.100970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 04/29/2024] [Accepted: 06/07/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND There is a lack of research examining the interplay between objectively measured physical activity volume and intensity with life expectancy. METHODS Individuals from UK Biobank with wrist-worn accelerometer data were included. The average acceleration and intensity gradient were extracted to describe the physical activity volume and intensity profile. Mortality data were obtained from national registries. Adjusted life expectancies were estimated using parametric flexible survival models. RESULTS 40,953 (57.1%) women (median age = 61.9 years) and 30,820 (42.9%) men (63.1 years) were included. Over a median follow-up of 6.9 years, there were 1719 (2.4%) deaths (733 in women; 986 in men). At 60 years, life expectancy was progressively longer for higher physical activity volume and intensity profiles, reaching 95.6 years in women and 94.5 years in men at the 90th centile for both volume and intensity, corresponding to 3.4 (95% confidence interval (95%CI): 2.4-4.4) additional years in women and 4.6 (95%CI: 3.6-5.6) additional years in men compared to those at the 10th centiles. An additional 10-min or 30-min daily brisk walk was associated with 0.9 (95%CI: 0.5-1.3) and 1.4 (95%CI: 0.9-1.9) years longer life expectancy, respectively, in inactive women; and 1.4 (95%CI: 1.0-1.8) and 2.5 (95%CI: 1.9-3.1) years in inactive men. CONCLUSION Higher physical activity volumes were associated with longer life expectancy, with a higher physical activity intensity profile further adding to a longer life. Adding as little as a 10-min brisk walk to daily activity patterns may result in a meaningful benefit to life expectancy.
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Affiliation(s)
- Francesco Zaccardi
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Alex V Rowlands
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK
| | - Paddy C Dempsey
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
| | - Cameron Razieh
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Joe Henson
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK
| | - Jonathan Goldney
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Benjamin D Maylor
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Atanu Bhattacharjee
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Yogini Chudasama
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Charlotte Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK
| | - Jari A Laukkanen
- Department of Medicine, Central Finland Health Care Hospital District, 40620 Jyväskylä, Finland; Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, 70210 Kuopio, Finland; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sports Sciences, 0863 Oslo, Norway; Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, 0473 Oslo, Norway
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Applied Research Collaborations East Midlands, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.
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Timmins IR, Zaccardi F, Yates T, Dudbridge F. Mendelian randomisation and mediation analysis of self-reported walking pace and coronary artery disease. Sci Rep 2024; 14:9995. [PMID: 38693307 PMCID: PMC11063179 DOI: 10.1038/s41598-024-60398-8] [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: 06/05/2023] [Accepted: 04/23/2024] [Indexed: 05/03/2024] Open
Abstract
The aim of this study was to assess the causal relationship between habitual walking pace and cardiovascular disease risk using a Mendelian randomisation approach. We performed both one- and two-sample Mendelian randomisation analyses in a sample of 340,000 European ancestry participants from UK Biobank, applying a range of sensitivity analyses to assess pleiotropy and reverse causality. We used a latent variable framework throughout to model walking pace as a continuous exposure, despite being measured in discrete categories, which provided more robust and interpretable causal effect estimates. Using one-sample Mendelian randomisation, we estimated that a 1 mph (i.e., 1.6 kph) increase in self-reported habitual walking pace corresponds to a 63% (hazard ratio (HR) = 0.37, 95% confidence interval (CI), 0.25-0.55, P = 2.0 × 10-6) reduction in coronary artery disease risk. Using conditional analyses, we also estimated that the proportion of the total effect on coronary artery disease mediated through BMI was 45% (95% CI 16-70%). We further validated findings from UK Biobank using two-sample Mendelian randomisation with outcome data from the CARDIoGRAMplusC4D consortium. Our findings suggest that interventions that seek to encourage individuals to walk more briskly should lead to protective effects on cardiovascular disease risk.
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Affiliation(s)
- Iain R Timmins
- Department of Population Health Sciences, University of Leicester, Leicester, UK.
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
- Statistical Innovation, Oncology R&D, AstraZeneca, Cambridge, UK.
| | | | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Frank Dudbridge
- Department of Population Health Sciences, University of Leicester, Leicester, UK
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Henson J, Yates T, Bhattacharjee A, Chudasama YV, Davies MJ, Dempsey PC, Goldney J, Khunti K, Laukkanen JA, Razieh C, Rowlands AV, Zaccardi F. Walking pace and the time between the onset of noncommunicable diseases and mortality: a UK Biobank prospective cohort study. Ann Epidemiol 2024; 90:21-27. [PMID: 37820945 DOI: 10.1016/j.annepidem.2023.10.001] [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: 05/12/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/13/2023]
Abstract
PURPOSE To estimate time spent in various cardiovascular disease (CVD) and cancer states, according to self-reported walking pace. METHODS In total, 391,744 UK Biobank participants were included (median age = 57 years; 54.7% women). Data were collected 2006-2010, with follow-up collected in 2021. Usual walking pace was self-defined as slow, steady, average, or brisk. Multistate modeling determined the transition rate and mean sojourn time in and across three different states (healthy, CVD or cancer, and death) upon a time horizon of 10 years. RESULTS The mean sojourn time in the healthy state was longer, while that in the CVD or cancer state was shorter in individuals reporting an average or brisk walking pace (vs. slow). A 75-year-old woman reporting a brisk walking pace spent, on average, 8.4 years of the next 10 years in a healthy state; an additional 8.0 (95% CI: 7.3, 8.7) months longer than a 75-year-old woman reporting a slow walking pace. This corresponded to 4.3 (3.7, 4.9) fewer months living with CVD or cancer. Similar results were seen in men. CONCLUSIONS Adults reporting an average or brisk walking pace at baseline displayed a lower transition to disease development and a greater proportion of life lived without CVD or cancer. AVAILABILITY OF DATA AND MATERIALS Research was conducted using the UK Biobank resource under Application #33266. The UK Biobank resource can be accessed by researchers on application. Variables derived for this study have been returned to the UK Biobank for future applicants to request. No additional data are available.
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Affiliation(s)
- Joseph Henson
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK.
| | - Thomas Yates
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Atanu Bhattacharjee
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Yogini V Chudasama
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Paddy C Dempsey
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Jonathan Goldney
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; NIHR Applied Health Research Collaboration-East Midlands (NIHR ARC-EM), Leicester Diabetes Centre, Leicester, UK
| | - Jari A Laukkanen
- Institute of Clinical Medicine and Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Department of Medicine, Wellbeing Services County of Central Finland, Jyväskylä, Finland
| | - Cameron Razieh
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK; Office for National Statistics, Data & Analysis for Social Care and Health (DASCH) Division, Newport, UK
| | - Alex V Rowlands
- NIHR Leicester Biomedical Research Centre (Lifestyle), Leicester, UK; Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Francesco Zaccardi
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Leicester, UK
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Hsu NW, Lin CH, Yang NP, Chen HC, Chou P. Handgrip strength is associated with mortality in community-dwelling older adults: the Yilan cohort study, Taiwan. BMC Public Health 2023; 23:2194. [PMID: 37940899 PMCID: PMC10631044 DOI: 10.1186/s12889-023-17058-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023] Open
Abstract
INTRODUCTION Hand grip strength (HGS) is one of the methods to help early identification of physical frailty and sarcopenia, the major concerns in the aging societies. It is also crucial to evaluate its impact on mortality. However, the available evidence regarding such impact among specific age cohorts (65 to 74 years and above) is limited. This study tried to investigate the relationship between HGS and mortality among specific cohorts of the community-dwelling older individuals in Yilan, Taiwan. METHODS A seven-year longitudinal follow-up study was conducted involving 2,468 community-dwelling older individuals in Yilan. The participants were divided into two groups based on their quartiles of hand grip strength: with poor HGS and with good HGS. The association between HGS and mortality was examined using Cox proportional hazards models. RESULTS The analysis revealed that age, HGS, gender, medical history of cardiovascular diseases, body mass index, and wrist-hip ratio had significant impacts on seven-year survival. Specifically, individuals with poor HGS exhibited increased mortality, with an adjusted hazard ratio (HR) of 1.87 (95% CI: 1.52-2.30). Furthermore, the adverse effect of poor HGS on mortality was more pronounced in males aged 65-74 years (adjusted HR 4.12, 95% CI: 2.16-7.84), females aged 75 years or older (2.09, 1.43-3.04) and males aged 75 years or older (1.49, 1.07-2.07). CONCLUSION Poor hand grip strength is an independent risk factor for mid-term mortality among community-dwelling older individuals in Yilan. The assessment of HGS can serve as a valuable tool in identifying older individuals at higher risk of death.
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Affiliation(s)
- Nai-Wei Hsu
- Community Medicine Research Center & Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, National Yang Ming Chiao Tung University Hospital, Yilan, Taiwan
- Public Health Bureau, Yilan County, Yilan, Taiwan
| | - Ching-Heng Lin
- Community Medicine Research Center & Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Nan-Ping Yang
- Community Medicine Research Center & Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Orthopedic Surgery, Taoyuan General Hospital, Ministry of Health & Welfare, Taoyuan, Taiwan
| | - Hsi-Chung Chen
- Department of Psychiatry & Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan
| | - Pesus Chou
- Community Medicine Research Center & Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Zanker J, Scott D, Alajlouni D, Kirk B, Bird S, DeBruin D, Vogrin S, Bliuc D, Tran T, Cawthon P, Duque G, Center JR. Mortality, falls and slow walking speed are predicted by different muscle strength and physical performance measures in women and men. Arch Gerontol Geriatr 2023; 114:105084. [PMID: 37290229 DOI: 10.1016/j.archger.2023.105084] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/21/2023] [Accepted: 05/29/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND Different measures of muscle strength, physical performance and body size/composition are used in various sarcopenia definitions. This study investigated which baseline measures best predict incident mortality and falls, and prevalent slow walking speed in older women and men. MATERIALS AND METHODS Data for 899 women (mean age±standard deviation, 68.7 ± 4.3 years) and 497 men (69.4 ± 3.9 years) from the Dubbo Osteoporosis Epidemiology Study 2, comprising sixty variables for muscle strength (quadriceps strength), physical performance (walking speed, timed up and go (TUG) test, sit to stand (STS) test), body size (weight, height, body mass index) and body composition (lean mass, body fat) were included. Sex-stratified Classification and Regression Tree (CART) analyses calculated baseline variable accuracy for predicting incident mortality and falls, and prevalent slow walking speed (<0.8 m/s). RESULTS Over 14.5 years, 103/899 (11.5%) women and 96/497 (19.3%) men died, 345/899 (38.4%) women and 172/497 (34.6%) men had ≥1 fall, and 304/860 (35.3%) women and 172/461 (31.7%) had baseline slow walking speed (<0.8 m/s). CART models identified age and walking speed adjusted for height as the most important predictors for mortality in women, and quadriceps strength (with adjustments) as the most important predictor for mortality in men. In both sexes, STS (with adjustments) was the most important predictor for incident falls, and TUG test was the most important predictor for prevalent slow walking speed. Body composition measures were not important predictors for any outcome. CONCLUSIONS Muscle strength and physical performance variables and cut points predict falls and mortality differently in women and men, suggesting targeted sex-specific application of selected measures may improve outcome prediction in older adults.
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Affiliation(s)
- Jesse Zanker
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia.
| | - David Scott
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia; Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Dima Alajlouni
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia
| | - Ben Kirk
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia
| | - Stefanie Bird
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Danielle DeBruin
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia; Institute of Health and Sport (IHeS), Victoria University, Melbourne, VIC, Australia
| | - Sara Vogrin
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia
| | - Dana Bliuc
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia
| | - Thach Tran
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia
| | - Peggy Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Gustavo Duque
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia; Research Institute of the McGill University Health Centre, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jacqueline R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia
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McBride P, Henson J, Edwardson CL, Maylor B, Dempsey PC, Rowlands AV, Davies MJ, Khunti K, Yates T. Four-Year Increase in Step Cadence Is Associated with Improved Cardiometabolic Health in People with a History of Prediabetes. Med Sci Sports Exerc 2023; 55:1601-1609. [PMID: 37005498 DOI: 10.1249/mss.0000000000003180] [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] [Indexed: 04/04/2023]
Abstract
PURPOSE To investigate associations between 4-yr change in step cadence and markers of cardiometabolic health in people with a history of prediabetes and to explore whether these associations are modified by demographic factors. METHODS In this prospective cohort study, adults, with a history of prediabetes, were assessed for markers of cardiometabolic health (body mass index, waist circumference, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], triglycerides, and glycated hemoglobin A1c [HbA1c]), and free-living stepping activity (activPAL3™) at baseline, 1 yr, and 4 yr. Brisk steps per day were defined as the number of steps accumulated at ≥100 steps per minute and slow steps per day as those accumulated at <100 steps per minute; the mean peak stepping cadence during the most active 10 minutes of the day was also derived. Generalized estimating equations examined associations between 4-yr change in step cadence and change in cardiometabolic risk factors, with interactions by sex and ethnicity. RESULTS Seven hundred ninety-four participants were included (age, 59.8 ± 8.9 yr; 48.7% women; 27.1% ethnic minority; total steps per day, 8445 ± 3364; brisk steps per day, 4794 ± 2865; peak 10-min step cadence, 128 ± 10 steps per minute). Beneficial associations were observed between change in brisk steps per day and change in body mass index, waist circumference, HDL-C, and HbA1c. Similar associations were found between peak 10-min step cadence and HDL-C and waist circumference. Interactions by ethnicity revealed change in brisk steps per day and change in peak 10-min step cadence had a stronger association with HbA1c in White Europeans, whereas associations between change in 10-min peak step cadence with measures of adiposity were stronger in South Asians. CONCLUSIONS Change in the number of daily steps accumulated at a brisk pace was associated with beneficial change in adiposity, HDL-C, and HbA1c; however, potential benefits may be dependent on ethnicity for outcomes related to HbA1c and adiposity.
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Rowlands AV, Dempsey PC, Maylor B, Razieh C, Zaccardi F, Davies MJ, Khunti K, Yates T. Self-reported walking pace: A simple screening tool with lowest risk of all-cause mortality in those that 'walk the talk'. J Sports Sci 2023:1-9. [PMID: 37183448 DOI: 10.1080/02640414.2023.2209762] [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] [Indexed: 05/16/2023]
Abstract
To determine whether the association between self-reported walking pace and all-cause mortality (ACM) persists across categories of accelerometer-assessed physical activity status. Data from 93,709 UK Biobank participants were included. Physical activity was assessed using wrist-worn accelerometers for 7-days. Participants accumulating <150 min/week moderate-to-vigorous- activity were classed as "inactive", ≥150 min/week moderate (≥3 METs) activity as "somewhat active" excluding those with ≥150 min/week upper-moderate-to-vigorous activity (≥4.3 METs), who were classed as "high-active". Over a 6.3 y (median) follow-up, 2,173 deaths occurred. More than half of slow walkers were "inactive", but only 26% of steady and 12% of brisk walkers. Associations between walking pace and ACM were consistent with those for activity. "High active" brisk walkers had the lowest risk of ACM (Hazard Ratio (HR) 0.22; 95% CI: 0.17,0.28), relative to "inactive" slow walkers. Within those classed as "inactive", steady (HR 0.54; 0.46,0.64) and brisk walkers (HR 0.42; 0.34,0.52) had lower risk than slow walkers. In conclusion, self-reported walking pace was associated with accelerometer-assessed physical activity with both exposures having similar associations with ACM. "inactive", steady, and brisk walkers had lower ACM risk than slow walkers. The pattern was similar for "High active" participants. Overall, "High active" brisk walkers had lowest risk.
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Affiliation(s)
- Alex V Rowlands
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Paddy C Dempsey
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Physical Activity & Behavioural Epidemiology Laboratories, Baker Heart & Diabetes Institute, Melbourne, Australia
| | - Benjamin Maylor
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Cameron Razieh
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Francesco Zaccardi
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- NIHR Applied Research Collaboration - East Midlands (ARC-EM), Leicester General Hospital, Leicester, UK
| | - Thomas Yates
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
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Cigarroa I, Bravo-Leal M, Petermann-Rocha F, Parra-Soto S, Concha-Cisternas Y, Matus-Castillo C, Vásquez-Gómez J, Zapata-Lamana R, Parra-Rizo MA, Álvarez C, Celis-Morales C. Brisk Walking Pace Is Associated with Better Cardiometabolic Health in Adults: Findings from the Chilean National Health Survey 2016-2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085490. [PMID: 37107772 PMCID: PMC10139031 DOI: 10.3390/ijerph20085490] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/15/2023] [Accepted: 03/15/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Although the importance of walking for promoting a better cardiometabolic health is widely known (this includes both cardiovascular and metabolic/endocrine systems), there is little knowledge regarding its appropriate pace to provide adults with more cardiometabolic benefits. AIM To analyze the associations between different walking pace categories and cardiometabolic health markers in the adult Chilean population. METHODS Cross-sectional study. A total of 5520 participants aged 15 to 90 years old from the Chilean National Health Survey (CNHS) 2016-2017 were included. Walking pace categories (slow, average, and brisk) were collected through self-reported methods. Glycaemia, glycosylated hemoglobin (HbA1c), gamma glutamyl transferase (GGT), vitamin D2, vitamin D3, systolic and diastolic blood pressure, and lipid profile (Total, HDL, LDL, VLDL, No HDL cholesterol and triglycerides) were determined using blood sample tests and measured with the standardized methods described in the CNHS 2016-2017. RESULTS People who had a brisk walking pace were associated with lower levels of glycaemia, HbA1c, GGT, systolic and diastolic blood pressure, and higher vitamin D3 levels compared with those with a slow walking pace. Moreover, people with a brisk walking pace had lower levels of VLDL cholesterol compared with those with a slow walking pace. However, after adjusting the model to include sociodemographic background, nutritional status, and lifestyle variables, the differences remained only for glycaemia, HbA1c and systolic blood pressure levels. CONCLUSIONS A brisk walking pace was associated with better cardiometabolic health markers and lipid profile compared with a slow walking pace.
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Affiliation(s)
- Igor Cigarroa
- Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile
- Correspondence:
| | - Michelle Bravo-Leal
- Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile
| | - Fanny Petermann-Rocha
- Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago 8370068, Chile
| | - Solange Parra-Soto
- Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan 3780000, Chile
- School Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK
| | - Yeny Concha-Cisternas
- Pedagogía en Educación Física, Facultad de Educación, Universidad Autónoma de Chile, Talca 3460000, Chile
| | - Carlos Matus-Castillo
- Departamento de Ciencias del Deporte y Acondicionamiento Físico, Universidad Católica de la Santísima Concepción, Concepción 4030000, Chile
| | - Jaime Vásquez-Gómez
- Centro de Investigación de Estudios Avanzados del Maule (CIEAM), Universidad Católica del Maule, Talca 3460000, Chile
- Laboratorio de Rendimiento Humano, Grupo de Estudios en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca 3460000, Chile
| | | | - María Antonia Parra-Rizo
- Faculty of Health Sciences, Valencian International University—VIU, 46002 Valencia, Spain
- Department of Health Psychology, Faculty of Social and Health Sciences, Campus of Elche, Miguel Hernandez University (UMH), 03202 Elche, Spain
| | - Cristian Álvarez
- Exercise and Rehabilitation Sciences Institute, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
| | - Carlos Celis-Morales
- School Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK
- Laboratorio de Rendimiento Humano, Grupo de Estudios en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca 3460000, Chile
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9
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Mickute M, Zaccardi F, Razieh C, Sargeant J, Smith AC, Wilkinson TJ, Young HML, Webb D, Khunti K, Davies MJ, Yates T. Individual frailty phenotype components and mortality in adults with type 2 diabetes: A UK Biobank study. Diabetes Res Clin Pract 2023; 195:110155. [PMID: 36427627 DOI: 10.1016/j.diabres.2022.110155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 11/08/2022] [Indexed: 11/25/2022]
Abstract
AIMS This study aimed to explore associations between frailty components and mortality and rank prognostic relevance of each frailty component in predicting mortality in adults with and without type 2 diabetes (T2D). METHODS We used data from the UK Biobank. Associations and prognostic discrimination of individual Fried's frailty components and the overall frailty status with all-cause and cardiovascular (CVD) mortality were investigated using Cox proportional-hazard models and C-index in adults with and without T2D. RESULTS In both populations the strongest association with all-cause mortality across all frailty components and overall frailty status was observed for slow walking pace (without T2D Hazard Ratio [HR] 2.25, 95 %CI: 2.12-2.38 and with T2D HR 1.95, 95 %CI: 1.67-2.28). Similarly, slow walking pace was associated with a greater risk of CVD mortality. The combination of T2D and slow walking pace had the strongest association with all-cause and CVD mortality, compared to the combination of T2D and other frailty components or overall frailty status. Slow walking pace also provided the greatest prognostic discrimination. CONCLUSION Slow walking pace has a stronger predictive factor for all-cause and CVD mortality compared to other frailty components and overall frailty status, especially when simultaneously present with T2D.
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Affiliation(s)
- Monika Mickute
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK.
| | - Francesco Zaccardi
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester LE5 4PW, UK; NIHR Applied Research Collaboration East Midlands (ARC EM), University of Leicester, UK
| | - Cameron Razieh
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester LE5 4PW, UK; National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Leicester, UK
| | - Jack Sargeant
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Alice C Smith
- Leicester Kidney Lifestyle Team, Department of Health Sciences, University of Leicester, UK
| | - Thomas J Wilkinson
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK; NIHR Applied Research Collaboration East Midlands (ARC EM), University of Leicester, UK
| | - Hannah M L Young
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - David Webb
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester LE5 4PW, UK; NIHR Applied Research Collaboration East Midlands (ARC EM), University of Leicester, UK
| | - Melanie J Davies
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK; National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Leicester, UK
| | - Thomas Yates
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
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10
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Dempsey PC, Rowlands AV, Strain T, Zaccardi F, Dawkins N, Razieh C, Davies MJ, Khunti KK, Edwardson CL, Wijndaele K, Brage S, Yates T. Physical activity volume, intensity, and incident cardiovascular disease. Eur Heart J 2022; 43:4789-4800. [PMID: 36302445 DOI: 10.1093/eurheartj/ehac613] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/26/2022] [Accepted: 10/12/2022] [Indexed: 01/12/2023] Open
Abstract
AIMS The interplay between physical activity (PA) volume and intensity is poorly understood in relation to cardiovascular disease (CVD) risk. This study aimed to investigate the role of PA intensity, over and above volume, in relation to incident CVD. METHODS AND RESULTS Data were from 88 412 UK Biobank middle-aged adults (58% women) without prevalent CVD who wore accelerometers on their dominant wrist for 7 days, from which we estimated total PA energy expenditure (PAEE) using population-specific validation. Cox proportional hazards regressions modelled associations between PAEE (kJ/kg/day) and PA intensity (%MVPA; the fraction of PAEE accumulated from moderate-to-vigorous-intensity PA) with incident CVD (ischaemic heart disease or cerebrovascular disease), adjusted for potential confounders. There were 4068 CVD events during 584 568 person-years of follow-up (median 6.8 years). Higher PAEE and higher %MVPA (adjusted for PAEE) were associated with lower rates of incident CVD. In interaction analyses, CVD rates were 14% (95% confidence interval: 5-23%) lower when MVPA accounted for 20% rather than 10% of 15 kJ/kg/d PAEE; equivalent to converting a 14 min stroll into a brisk 7 min walk. CVD rates did not differ significantly between values of PAEE when the %MVPA was fixed at 10%. However, the lowest CVD rates were observed for combinations of both higher PAEE and %MVPA. CONCLUSION Reductions in CVD risk may be achievable through higher PA volume and intensity, with the role of moderately intense PA appearing particularly important. This supports multiple approaches or strategies to PA participation, some of which may be more practical or appealing to different individuals.
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Affiliation(s)
- Paddy C Dempsey
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.,Baker Heart and Diabetes Institute, Melbourne, Australia.,NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Alex V Rowlands
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Tessa Strain
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Francesco Zaccardi
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Nathan Dawkins
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,School of Social and Health Sciences, Leeds Trinity University, Leeds, UK
| | - Cameron Razieh
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,NIHR Leicester Biomedical Research Centre, Leicester, UK.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Kamlesh K Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Charlotte L Edwardson
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Katrien Wijndaele
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Soren Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Tom Yates
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester, LE54PW, UK.,NIHR Leicester Biomedical Research Centre, Leicester, UK
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11
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Zaccardi F, Timmins IR, Goldney J, Dudbridge F, Dempsey PC, Davies MJ, Khunti K, Yates T. Self-reported walking pace, polygenic risk scores and risk of coronary artery disease in UK biobank. Nutr Metab Cardiovasc Dis 2022; 32:2630-2637. [PMID: 36163213 DOI: 10.1016/j.numecd.2022.08.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 08/15/2022] [Accepted: 08/23/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS Both polygenic risk scores (PGS) and self-reported walking pace have been shown to predict cardiovascular disease; whether combining both factors produces greater risk differentiation is, however, unknown. METHODS AND RESULTS We estimated the 10-year absolute risk of coronary artery disease (CAD), adjusted for traditional risk factors, and the C-index across nine PGS and self-reported walking pace in UK Biobank study participants between Mar/2006-Feb/2021. In 380,693 individuals (54.8% women), over a median (5th, 95th percentile) of 11.9 (8.3, 13.4) years, 2,603 (1.2%) CAD events occurred in women and 8,259 (4.8%) in men. Both walking pace and genetic risk were strongly associated with CAD. The absolute 10-year risk of CAD was highest in slow walkers at high genetic risk (top 20% of PGS): 2.72% (95% CI: 2.30-3.13) in women; 9.60% (8.62-10.57) in men. The risk difference between slow and brisk walkers was greater at higher [1.26% (0.81-1.71) in women; 3.63% (2.58-4.67) in men] than lower [0.76% (0.59-0.93) and 2.37% (1.96-2.78), respectively] genetic risk. Brisk walkers at high genetic risk had equivalent (women) or higher (men) risk than slow walkers at moderate-to-low genetic risk (bottom 80% of PGS). When added to a model containing traditional risk factors, both factors separately improved risk discrimination; combining them resulted in the greatest discrimination: C-index of 0.801 (0.793-0.808) in women; 0.732 (0.728-0.737) in men. CONCLUSION Self-reported slow walkers at high genetic risk had the greatest risk of CAD, identifying a potentially important population for intervention. Both PGS and walking pace contributed to risk discrimination.
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Affiliation(s)
- F Zaccardi
- Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK.
| | - I R Timmins
- Department of Health Sciences, University of Leicester, George Davies Centre, University Road, Leicester, LE1 7RH, UK
| | - J Goldney
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK
| | - F Dudbridge
- Department of Health Sciences, University of Leicester, George Davies Centre, University Road, Leicester, LE1 7RH, UK
| | - P C Dempsey
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK
| | - M J Davies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK
| | - K Khunti
- Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; NIHR Collaboration for Leadership in Applied Health Research and Care - East Midlands, University as Leicester, Leicester, LE1 7RH, UK
| | - T Yates
- Leicester Real World Evidence Unit, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Rd, Leicester, LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK
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12
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Kuo K, Zhang YR, Chen SD, He XY, Huang SY, Wu BS, Deng YT, Yang L, Ou YN, Guo Y, Zhang RQ, Zhang Y, Tan L, Dong Q, Cheng W, Yu JT. Associations of grip strength, walking pace, and the risk of incident dementia: A prospective cohort study of 340212 participants. Alzheimers Dement 2022; 19:1415-1427. [PMID: 36152312 DOI: 10.1002/alz.12793] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 07/23/2022] [Accepted: 08/09/2022] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Grip strength and walking pace have been linked to cognitive dysfunction. Their relationships, however, demand further clarification as the evidence is derived primarily from less-comprehensive investigations. METHODS A total of 340212 UK Biobank participants without dementia and cardiovascular diseases at baseline were analyzed. Cox proportional hazard models assessed the longitudinal associations. RESULTS Over a mean follow-up of 8.51 ± 2.68 years, 2424 incident dementia cases were documented. A 5 kg increment of absolute grip strength was associated with lower risks of all-cause dementia (hazard ratio [HR] 0.857), Alzheimer's disease (HR 0.874), and vascular dementia (HR 0.788). The patterns of associations remained similar when grip strength was expressed in relative terms and quintiles. A slow walking pace demonstrated consistent associations with increased risks of all dementia types. DISCUSSION Our findings provide amplified evidence and suggest that muscle fitness, reflected by objective grip strength measures and self-reported walking pace, may be imperative for estimating the risks of dementia.
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Affiliation(s)
- Kevin Kuo
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Yu He
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shu-Yi Huang
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yu Guo
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Rui-Qi Zhang
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi Zhang
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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13
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Moxley E, Habtezgi D, Subramanian V, Hwang S, Yalla S, Attewell L. Relationships Between Physical Activity Metrics of Intensity and Diabetes. J Cardiovasc Nurs 2022; 38:00005082-990000000-00035. [PMID: 36037295 DOI: 10.1097/jcn.0000000000000947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Physical activity (PA) prevents diabetes-associated complications. Little is known about what constitutes effective PA interventions to mitigate diabetes. Identifying PA metrics associated with the efficacy of PA interventions will provide insight into devising strategies to treat diabetes. PURPOSE The aim of this study was to analyze the relationships between preclinical and postclinical variables from a 10-week intervention designed to increase PA in adults with diabetes. METHODS A secondary analysis was performed to evaluate data using Wilcoxon rank sum test, permutation test and Spearman correlation to analyze hemoglobin A1c (HbA1c), weight, and PA metrics (maximum steps per episode, cadence, daily steps, and 6-minute walk). RESULTS Poststudy HbA1c level was associated with maximum steps (r = -0.63, P = .03) and 6-minute walk (r = -0.50, P = .09). Baseline weight was associated with average cadence (r = -0.76, P = .007), and poststudy weight was associated with average cadence (r = -0.60, P = .041) and maximum steps (r = -0.62, P = .03). CONCLUSIONS Cadence and maximum steps per episode reflect PA intensity and were associated with HbA1c and weight in adults with diabetes.
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14
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Investigation of a UK biobank cohort reveals causal associations of self-reported walking pace with telomere length. Commun Biol 2022; 5:381. [PMID: 35444173 PMCID: PMC9021230 DOI: 10.1038/s42003-022-03323-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 03/25/2022] [Indexed: 02/02/2023] Open
Abstract
Walking pace is a simple and functional form of movement and a strong predictor of health status, but the nature of its association with leucocyte telomere length (LTL) is unclear. Here we investigate whether walking pace is associated with LTL, which is causally associated with several chronic diseases and has been proposed as a marker of biological age. Analyses were conducted in 405,981 UK Biobank participants. We show that steady/average and brisk walkers had significantly longer LTL compared with slow walkers, with accelerometer-assessed measures of physical activity further supporting this through an association between LTL and habitual activity intensity, but not with total amount of activity. Bi-directional mendelian randomisation analyses suggest a causal link between walking pace and LTL, but not the other way around. A faster walking pace may be causally associated with longer LTL, which could help explain some of the beneficial effects of brisk walking on health status. Given its simple measurement and low heritability, self-reported walking pace may be a pragmatic target for interventions.
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15
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Hupin D, Sarajlic P, Venkateshvaran A, Fridén C, Nordgren B, Opava CH, Lundberg IE, Bäck M. Cardiovascular Autonomic Function Changes and Predictors During a 2-Year Physical Activity Program in Rheumatoid Arthritis: A PARA 2010 Substudy. Front Med (Lausanne) 2021; 8:788243. [PMID: 34977091 PMCID: PMC8717774 DOI: 10.3389/fmed.2021.788243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/09/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Chronic inflammation leads to autonomic dysfunction, which may contribute to the increased risk of cardiovascular diseases (CVD) in patients with rheumatoid arthritis (RA). Exercise is known to restore autonomic nervous system (ANS) activity and particularly its parasympathetic component. A practical clinical tool to assess autonomic function, and in particular parasympathetic tone, is heart rate recovery (HRR). The aim of this substudy from the prospective PARA 2010 study was to determine changes in HRR post-maximal exercise electrocardiogram (ECG) after a 2-year physical activity program and to determine the main predictive factors associated with effects on HRR in RA. Methods: Twenty-five participants performed physiotherapist-guided aerobic and muscle-strengthening exercises for 1 year and were instructed to continue the unsupervised physical activity program autonomously in the next year. All participants were examined at baseline and at years 1 and 2 with a maximal exercise ECG on a cycle ergometer. HRR was measured at 1, 2, 3, 4, and 5 min following peak heart rate during exercise. Machine-learning algorithms with the elastic net linear regression models were performed to predict changes in HRR1 and HRR2 at 1 year and 2 years of the PARA program. Results: Mean age was 60 years, range of 41-73 years (88% women). Both HRR1 and HRR2 increased significantly from baseline to year 1 with guided physical activity and decreased significantly from year 1 to year 2 with unsupervised physical activity. Blood pressure response to exercise, low BMI, and muscular strength were the best predictors of HRR1/HRR2 increase during the first year and HRR1/HRR2 decrease during the second year of the PARA program. Conclusion: ANS activity in RA assessed by HRR was improved by guided physical activity, and machine learning allowed to identify predictors of the HRR response at the different time points. HRR could be a relevant marker of the effectiveness of physical activity recommended in patients with RA at high risk of CVD. Very inactive and/or high CVD risk RA patients may get substantial benefits from a physical activity program.
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Affiliation(s)
- David Hupin
- Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- INSERM, U1059, SAINBIOSE, Université de Lyon, Université Jean-Monnet, Saint-Etienne, France
- Department of Clinical and Exercise Physiology, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Philip Sarajlic
- Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ashwin Venkateshvaran
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Cecilia Fridén
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Birgitta Nordgren
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy and Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Christina H. Opava
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Rheumatology, Inflammation and Ageing Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Ingrid E. Lundberg
- Rheumatology, Inflammation and Ageing Theme, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Bäck
- Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
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16
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Differences in Accelerometer-Measured Patterns of Physical Activity and Sleep/Rest Between Ethnic Groups and Age: An Analysis of UK Biobank. J Phys Act Health 2021; 19:37-46. [PMID: 34826803 DOI: 10.1123/jpah.2021-0334] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/16/2021] [Accepted: 09/20/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Physical activity and sleep are important for health; whether device-measured physical activity and sleep differ by ethnicity is unclear. This study aimed to compare physical activity and sleep/rest in white, South Asian (SA), and black adults by age. METHODS Physical activity and sleep/rest quality were assessed using accelerometer data from UK Biobank. Linear regressions, stratified by sex, were used to analyze differences in activity and sleep/rest. An ethnicity × age group interaction term was used to assess whether ethnic differences were consistent across age groups. RESULTS Data from 95,914 participants, aged 45-79 years, were included. Overall activity was 7% higher in black, and 5% lower in SA individuals compared with white individuals. Minority ethnic groups had poorer sleep/rest quality. Lower physical activity and poorer sleep quality occurred at a later age in black and SA adults (>65 y), than white adults (>55 y). CONCLUSIONS While black adults are more active, and SA adults less active, than white adults, the age-related reduction appears to be delayed in black and SA adults. Sleep/rest quality is poorer in black and SA adults than in white adults. Understanding ethnic differences in physical activity and rest differ may provide insight into chronic conditions with differing prevalence across ethnicities.
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17
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Gaesser GA, Angadi SS. Obesity treatment: Weight loss versus increasing fitness and physical activity for reducing health risks. iScience 2021; 24:102995. [PMID: 34755078 PMCID: PMC8560549 DOI: 10.1016/j.isci.2021.102995] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
We propose a weight-neutral strategy for obesity treatment on the following grounds: (1) the mortality risk associated with obesity is largely attenuated or eliminated by moderate-to-high levels of cardiorespiratory fitness (CRF) or physical activity (PA), (2) most cardiometabolic risk markers associated with obesity can be improved with exercise training independent of weight loss and by a magnitude similar to that observed with weight-loss programs, (3) weight loss, even if intentional, is not consistently associated with lower mortality risk, (4) increases in CRF or PA are consistently associated with greater reductions in mortality risk than is intentional weight loss, and (5) weight cycling is associated with numerous adverse health outcomes including increased mortality. Adherence to PA may improve if health care professionals consider PA and CRF as essential vital signs and consistently emphasize to their patients the myriad benefits of PA and CRF in the absence of weight loss.
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Affiliation(s)
- Glenn A. Gaesser
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
| | - Siddhartha S. Angadi
- Department of Kinesiology, School of Education and Human Development, University of Virginia, Charlottesville, VA 22904, USA
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18
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Halasz G, Piepoli MF. Editor comments: Focus on Cardiac rehabilitation and exercise training. Eur J Prev Cardiol 2021; 28:687-689. [PMID: 34089585 DOI: 10.1093/eurjpc/zwab082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Geza Halasz
- Cardiac Unit, G. da Saliceto Hospital, AUSL Piacenza and University of Parma, Parma, Italy
| | - Massimo F Piepoli
- Cardiac Unit, G. da Saliceto Hospital, AUSL Piacenza and University of Parma, Parma, Italy.,Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy
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19
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Wilkinson TJ, Miksza J, Yates T, Lightfoot CJ, Baker LA, Watson EL, Zaccardi F, Smith AC. Association of sarcopenia with mortality and end-stage renal disease in those with chronic kidney disease: a UK Biobank study. J Cachexia Sarcopenia Muscle 2021; 12:586-598. [PMID: 33949807 PMCID: PMC8200422 DOI: 10.1002/jcsm.12705] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/17/2020] [Accepted: 03/29/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Sarcopenia, a degenerative and generalized skeletal muscle disorder involving the loss of muscle function and mass, is an under-recognized problem in clinical practice, particularly in chronic kidney disease (CKD). We aimed to investigate the prevalence of sarcopenia in individuals with CKD, its risk factors, and its association with all-cause mortality and progression to end-stage renal disease (ESRD). METHODS UK Biobank participants were grouped according to the presence of CKD (defined as an estimated glomerular filtration rate <60 mL/min/1.73 m2 ) and as having probable (low handgrip strength), confirmed (plus low muscle mass), and severe sarcopenia (plus poor physical performance) based on the 2019 European Working Group of Sarcopenia in Older People and Foundation for the National Institutes of Health criteria. Risk factors were explored using logistic regression analysis. Survival models were applied to estimate risk of mortality and ESRD. RESULTS A total of 428 320 participants, of which 8767 individuals with CKD (46% male, aged 62.8 (standard deviation 6.8) years, median estimated glomerular filtration rate 54.5 (interquartile range 49.0-57.7) mL/min/1.72 m2 ) were included. Probable sarcopenia was present in 9.7% of individuals with CKD compared with 5.0% in those without (P < 0.001). Sarcopenia was associated with being older; inflammation; poorer renal function; and lower serum albumin, total testosterone, and haemoglobin. The largest risk factors for sarcopenia were having three or more comorbidities (odds ratio: 2.30; 95% confidence interval: 1.62 to 3.29; P < 0.001) and physical inactivity: participants in the highest quartile of weekly activity were 43% less likely to have sarcopenia compared to the lowest quartile (odds ratio: 0.57; 0.42 to 0.76; P < 0.001). Participants with CKD and sarcopenia had a 33% (7% to 66%; P = 0.011) higher hazard of mortality compared with individuals without. Sarcopenic CKD individuals had a 10 year survival probability of 0.85 (0.82 to 0.88) compared with 0.89 (0.88 to 0.30) in those without sarcopenia, an absolute difference of 4%. Those with sarcopenia were twice as likely to develop ESRD (hazard ratio: 1.98; 1.45 to 2.70; P < 0.001). CONCLUSIONS Participants with reduced kidney function are at an increased risk of premature mortality. The presence of sarcopenia increases the risk of mortality and ESRD. Appropriate measurement of sarcopenia should be used to identify at-risk individuals. Interventions such as physical activity should be encouraged to mitigate sarcopenia.
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Affiliation(s)
- Thomas J Wilkinson
- Leicester Kidney Lifestyle Team, Department of Health Sciences, University of Leicester, Leicester, UK.,Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Joanne Miksza
- Leicester NIHR Biomedical Research Centre, Leicester, UK.,Leicester Real World Evidence Centre, University of Leicester, Leicester, UK
| | - Thomas Yates
- Leicester NIHR Biomedical Research Centre, Leicester, UK.,Leicester Diabetes Research Centre, Leicester, UK
| | - Courtney J Lightfoot
- Leicester Kidney Lifestyle Team, Department of Health Sciences, University of Leicester, Leicester, UK.,Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Luke A Baker
- Leicester Kidney Lifestyle Team, Department of Health Sciences, University of Leicester, Leicester, UK.,Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Emma L Watson
- Leicester Kidney Lifestyle Team, Department of Health Sciences, University of Leicester, Leicester, UK.,Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Centre, University of Leicester, Leicester, UK.,NIHR Applied Research Collaboration (ARC) East Midlands, Diabetes Research Centre, Leicester, UK
| | - Alice C Smith
- Leicester Kidney Lifestyle Team, Department of Health Sciences, University of Leicester, Leicester, UK.,Leicester NIHR Biomedical Research Centre, Leicester, UK
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20
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Obesity, walking pace and risk of severe COVID-19 and mortality: analysis of UK Biobank. Int J Obes (Lond) 2021; 45:1155-1159. [PMID: 33637952 PMCID: PMC7909370 DOI: 10.1038/s41366-021-00771-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/11/2020] [Accepted: 01/21/2021] [Indexed: 11/08/2022]
Abstract
Obesity is an emerging risk factor for coronavirus disease-2019 (COVID-19). Simple measures of physical fitness, such as self-reported walking pace, may also be important risk markers. This analysis includes 412,596 UK Biobank participants with linked COVID-19 data (median age at linkage = 68 years, obese = 24%, median number of comorbidities = 1). As of August 24th 2020, there were 1001 cases of severe (in-hospital) disease and 336 COVID-19 deaths. Compared to normal weight individuals, the adjusted odds ratio (OR) of severe COVID-19 in overweight and obese individuals was 1.26 (1.07, 1.48) and 1.49 (1.25, 1.79), respectively. For COVID-19 mortality, the ORs were 1.19 (0.88, 161) and 1.82 (1.33, 2.49), respectively. Compared to those with a brisk walking pace, the OR of severe COVID-19 for steady/average and slow walkers was 1.13 (0.98, 1.31) and 1.88 (1.53, 2.31), respectively. For COVID-19 mortality, the ORs were 1.44 (1.10, 1.90) and 1.83 (1.26, 2.65), respectively. Slow walkers had the highest risk regardless of obesity status. For example, compared to normal weight brisk walkers, the OR of severe disease and COVID-19 mortality in normal weight slow walkers was 2.42 (1.53, 3.84) and 3.75 (1.61, 8.70), respectively. Self-reported slow walkers appear to be a high-risk group for severe COVID-19 outcomes independent of obesity.
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21
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Timmins IR, Zaccardi F, Nelson CP, Franks PW, Yates T, Dudbridge F. Genome-wide association study of self-reported walking pace suggests beneficial effects of brisk walking on health and survival. Commun Biol 2020; 3:634. [PMID: 33128006 PMCID: PMC7599247 DOI: 10.1038/s42003-020-01357-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 10/01/2020] [Indexed: 12/19/2022] Open
Abstract
Walking is a simple form of exercise, widely promoted for its health benefits. Self-reported walking pace has been associated with a range of cardiorespiratory and cancer outcomes, and is a strong predictor of mortality. Here we perform a genome-wide association study of self-reported walking pace in 450,967 European ancestry UK Biobank participants. We identify 70 independent associated loci (P < 5 × 10-8), 11 of which are novel. We estimate the SNP-based heritability as 13.2% (s.e. = 0.21%), reducing to 8.9% (s.e. = 0.17%) with adjustment for body mass index. Significant genetic correlations are observed with cardiometabolic, respiratory and psychiatric traits, educational attainment and all-cause mortality. Mendelian randomization analyses suggest a potential causal link of increasing walking pace with a lower cardiometabolic risk profile. Given its low heritability and simple measurement, these findings suggest that self-reported walking pace is a pragmatic target for interventions aiming for general benefits on health.
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Affiliation(s)
- Iain R Timmins
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.,NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust & University of Leicester, Leicester, UK
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK.,NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust & University of Leicester, Leicester, UK
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK.
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22
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Grazzi G, Mazzoni G, Myers J, Caruso L, Sassone B, Pasanisi G, Guerzoni F, Napoli N, Pizzolato M, Zerbini V, Franchi M, Masotti S, Mandini S, Raisi A, Chiaranda G. Impact of Improvement in Walking Speed on Hospitalization and Mortality in Females with Cardiovascular Disease. J Clin Med 2020; 9:E1755. [PMID: 32517001 PMCID: PMC7357156 DOI: 10.3390/jcm9061755] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/02/2020] [Accepted: 06/03/2020] [Indexed: 12/25/2022] Open
Abstract
Cardiovascular disease (CVD) is the principal cause of death in women. Walking speed (WS) is strongly related with mortality and CVD. The rate of all-cause hospitalization or death was assessed in 290 female outpatients with CVD after participation in a cardiac rehabilitation/secondary prevention program (CR/SP) and associated with the WS maintained during a moderate 1 km treadmill-walk. Three-year mortality rates were 57%, 44%, and 29% for the slow (2.1 ± 0.4 km/h), moderate (3.1 ± 0.3 km/h), and fast (4.3 ± 0.6 km/h) walkers, respectively, with adjusted hazard ratios (HRs) of 0.78 (p = 0.24) and 0.55 (p = 0.03) for moderate and fast walkers compared to the slow walkers. In addition, hospitalization or death was examined four to six years after enrollment as a function of the change in the WS of 176 patients re-assessed during the third year after baseline. The rates of hospitalization or death were higher across tertiles of reduced WS, with 35%, 50%, and 53% for the high (1.5 ± 0.3 km/h), intermediate (0.7 ± 0.2 km/h), and low tertiles (0.2 ± 0.2 km/h). Adjusted HRs were 0.79 (p = 0.38) for the intermediate and 0.47 (p = 0.02) for the high tertile compared to the low improvement tertile. Improved walking speed was associated with a graded decrease in hospitalization or death from any cause in women undergoing CR/SP.
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Affiliation(s)
- Giovanni Grazzi
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
- Public Health Department, AUSL Ferrara, 44121 Ferrara, Italy
| | - Gianni Mazzoni
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
- Public Health Department, AUSL Ferrara, 44121 Ferrara, Italy
| | - Jonathan Myers
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA;
- Stanford Medical School, University of Stanford, Stanford, CA 94305, USA
| | - Lorenzo Caruso
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Biagio Sassone
- Department of Morphology, Surgery & Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy;
- Department of Emergency, Division of Cardiology, Cento SS.ma Annunziata Hospital, 44121 AUSL Ferrara, Italy
| | - Giovanni Pasanisi
- Department of Emergency, Division of Cardiology, “Delta” Hospital, AUSL Ferrara, 44121 Ferrara, Italy;
| | - Franco Guerzoni
- Health Statistics Unit, University Hospital, 44121 Ferrara, Italy; (F.G.); (N.N.)
| | - Nicola Napoli
- Health Statistics Unit, University Hospital, 44121 Ferrara, Italy; (F.G.); (N.N.)
| | - Matteo Pizzolato
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Valentina Zerbini
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Michele Franchi
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Sabrina Masotti
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Simona Mandini
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Andrea Raisi
- Center of Sport and Exercise Science, University of Ferrara, 44121 Ferrara, Italy; (G.G.); (G.M.); (L.C.); (M.P.); (V.Z.); (M.F.); (S.M.); (S.M.)
| | - Giorgio Chiaranda
- General Directorship for Public Health and Integration Policy, Emilia-Romagna Region, 40133 Bologna, Italy;
- Public Health Department, AUSL Piacenza, 29121 Piacenza, Italy
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23
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Laukkanen JA, Voutilainen A, Kurl S, Araujo CGS, Jae SY, Kunutsor SK. Handgrip strength is inversely associated with fatal cardiovascular and all-cause mortality events. Ann Med 2020; 52:109-119. [PMID: 32223654 PMCID: PMC7877981 DOI: 10.1080/07853890.2020.1748220] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Purpose: We aimed to assess the associations of handgrip strength (HS) with cardiovascular and all-cause mortality and whether adding data on HS to cardiovascular disease (CVD) risk factors is associated with improvement in CVD mortality prediction.Design: Handgrip strength was assessed in a population-based sample of 861 participants aged 61-74 years at baseline. Relative HS was obtained by dividing the absolute value by body weight.Results: During a median (interquartile range) follow-up of 17.3 (12.6-18.4) years, 116 fatal coronary heart diseases (CHDs), 195 fatal CVDs and 412 all-cause mortality events occurred. On adjustment for several risk factors, the hazard ratios (95% confidence intervals (CIs)) for fatal CHD, fatal CVD and all-cause mortality were 0.59 (0.37-0.95), 0.59 (0.41-0.86) and 0.66 (0.51-0.84), respectively, comparing extreme tertiles of relative HS. Adding relative HS to a CVD mortality risk prediction model containing established risk factors did not improve discrimination or reclassification using Harrell's C-index (C-index change: 0.0034; p = .65), integrated-discrimination-improvement (0.0059; p = .20) and net-reclassification-improvement (-1.31%; p = .74); however, there was a significant difference in -2 log likelihood (p < .001).Conclusions: Relative HS is inversely associated with CHD, CVD and all-cause mortality events. Adding relative HS to conventional risk factors improves CVD risk assessment using sensitive measures of discrimination.KEY MESSAGESHandgrip strength (HS) assessment is simple, inexpensive and it takes only a few minutes to measure in clinical practice; however, its prognostic role for fatal cardiovascular outcomes on top of traditional risk factors in apparently healthy populations is uncertain.In a population-based prospective cohort study, good HS adjusted for body weight was associated with lower risk of fatal cardiovascular outcomes and the associations remained consistent across several clinically relevant subgroups.Handgrip strength may be a useful prognostic tool for fatal CHD and CVD events, in the general population.
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Affiliation(s)
- Jari A Laukkanen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.,Department of Medicine, Central Finland Health Care District, Jyväskylä, Finland.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Ari Voutilainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Sudhir Kurl
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | | | - Sae Young Jae
- Department of Sport Science, University of Seoul, Seoul, South Korea.,Graduate School of Urban Public Health, University of Seoul, Seoul, Republic of Korea
| | - Setor K Kunutsor
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK.,Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Southmead Hospital, University of Bristol, Learning & Research Building (Level 1), Bristol, UK
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