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Ji Y, Atakan MM, Yan X, Wu J, Kuang J, Peng L. Reallocating just 10 min to moderate-to-vigorous physical activity from other components of 24-hour movement behaviors improves cardiovascular health in adults. BMC Public Health 2024; 24:1768. [PMID: 38961409 PMCID: PMC11221122 DOI: 10.1186/s12889-024-19255-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/24/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND As components of a 24-hour day, sedentary behavior (SB), physical activity (PA), and sleep are all independently linked to cardiovascular health (CVH). However, insufficient understanding of components' mutual exclusion limits the exploration of the associations between all movement behaviors and health outcomes. The aim of this study was to employ compositional data analysis (CoDA) approach to investigate the associations between 24-hour movement behaviors and overall CVH. METHODS Data from 581 participants, including 230 women, were collected from the 2005-2006 wave of the US National Health and Nutrition Examination Survey (NHANES). This dataset included information on the duration of SB and PA, derived from ActiGraph accelerometers, as well as self-reported sleep duration. The assessment of CVH was conducted in accordance with the criteria outlined in Life's Simple 7, encompassing the evaluation of both health behaviors and health factors. Compositional linear regression was utilized to examine the cross-sectional associations of 24-hour movement behaviors and each component with CVH score. Furthermore, the study predicted the potential differences in CVH score that would occur by reallocating 10 to 60 min among different movement behaviors. RESULTS A significant association was observed between 24-hour movement behaviors and overall CVH (p < 0.001) after adjusting for potential confounders. Substituting moderate-to-vigorous physical activity (MVPA) for other components was strongly associated with favorable differences in CVH score (p < 0.05), whether in one-for-one reallocations or one-for-remaining reallocations. Allocating time away from MVPA consistently resulted in larger negative differences in CVH score (p < 0.05). For instance, replacing 10 min of light physical activity (LPA) with MVPA was related to an increase of 0.21 in CVH score (95% confidence interval (95% CI) 0.11 to 0.31). Conversely, when the same duration of MVPA was replaced with LPA, CVH score decreased by 0.67 (95% CI -0.99 to -0.35). No such significance was discovered for all duration reallocations involving only LPA, SB, and sleep (p > 0.05). CONCLUSIONS MVPA seems to be as a pivotal determinant for enhancing CVH among general adult population, relative to other movement behaviors. Consequently, optimization of MVPA duration is an essential element in promoting overall health and well-being.
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Affiliation(s)
- Yemeng Ji
- Physical Education College, Southwest University, Chongqing, 400715, China
| | - Muhammed M Atakan
- Division of Nutrition and Metabolism in Exercise, Faculty of Sport Sciences, Hacettepe University, Ankara, 06800, Turkey
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, 14428, Australia
| | - Jinlong Wu
- Physical Education College, Southwest University, Chongqing, 400715, China
| | - Jujiao Kuang
- Institute for Health and Sport, Victoria University, Melbourne, 14428, Australia
| | - Li Peng
- Physical Education College, Southwest University, Chongqing, 400715, China.
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Brakenridge CJ, Koster A, de Galan BE, Carver A, Dumuid D, Dzakpasu FQS, Eussen SJPM, Savelberg HHCM, Bosma H, Owen N, Schaper NC, Healy GN, Dunstan DW. Associations of 24 h time-use compositions of sitting, standing, physical activity and sleeping with optimal cardiometabolic risk and glycaemic control: The Maastricht Study. Diabetologia 2024; 67:1356-1367. [PMID: 38656371 PMCID: PMC11153304 DOI: 10.1007/s00125-024-06145-0] [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: 11/30/2023] [Accepted: 02/28/2024] [Indexed: 04/26/2024]
Abstract
AIMS/HYPOTHESIS The associations of sitting, standing, physical activity and sleep with cardiometabolic health and glycaemic control markers are interrelated. We aimed to identify 24 h time-use compositions associated with optimal metabolic and glycaemic control and determine whether these varied by diabetes status. METHODS Thigh-worn activPAL data from 2388 participants aged 40-75 years (48.7% female; mean age 60.1 [SD = 8.1] years; n=684 with type 2 diabetes) in The Maastricht Study were examined. Compositional isometric log ratios were generated from mean 24 h time use (sitting, standing, light-intensity physical activity [LPA], moderate-to-vigorous physical activity [MVPA] and sleeping) and regressed with outcomes of waist circumference, fasting plasma glucose (FPG), 2 h plasma glucose, HbA1c, the Matsuda index expressed as z scores, and with a clustered cardiometabolic risk score. Overall analyses were adjusted for demographics, smoking, dietary intake and diabetes status, and interaction by diabetes status was examined separately. The estimated difference when substituting 30 min of one behaviour with another was determined with isotemporal substitution. To identify optimal time use, all combinations of 24 h compositions possible within the study footprint (1st-99th percentile of each behaviour) were investigated to determine those cross-sectionally associated with the most-optimal outcome (top 5%) for each outcome measure. RESULTS Compositions lower in sitting time and with greater standing time, physical activity and sleeping had the most beneficial associations with outcomes. Associations were stronger in participants with type 2 diabetes (p<0.05 for interactions), with larger estimated benefits for waist circumference, FPG and HbA1c when sitting was replaced by LPA or MVPA in those with type 2 diabetes vs the overall sample. The mean (range) optimal compositions of 24 h time use, considering all outcomes, were 6 h (range 5 h 40 min-7 h 10 min) for sitting, 5 h 10 min (4 h 10 min-6 h 10 min) for standing, 2 h 10 min (2 h-2 h 20 min) for LPA, 2 h 10 min (1 h 40 min-2 h 20 min) for MVPA and 8 h 20 min (7 h 30 min-9 h) for sleeping. CONCLUSIONS/INTERPRETATION Shorter sitting time and more time spent standing, undergoing physical activity and sleeping are associated with preferable cardiometabolic health. The substitutions of behavioural time use were significantly stronger in their associations with glycaemic control in those with type 2 diabetes compared with those with normoglycaemic metabolism, especially when sitting time was balanced with greater physical activity.
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Affiliation(s)
- Christian J Brakenridge
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
- Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia.
| | - Annemarie Koster
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Bastiaan E de Galan
- Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Alison Carver
- National Centre for Healthy Ageing, The School of Translational Medicine, Monash University, Melbourne, VIC, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, SA, Australia
| | - Francis Q S Dzakpasu
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Simone J P M Eussen
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
- Department of Epidemiology, Maastricht University, Maastricht, the Netherlands
| | - Hans H C M Savelberg
- Department of Nutrition and Movement Science, Maastricht University, Maastricht, the Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Hans Bosma
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Neville Owen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Nicolaas C Schaper
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Genevieve N Healy
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC, Australia
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3
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Zhu P, Lao G, Li H, Tan R, Gu J, Ran J. Replacing of sedentary behavior with physical activity and the risk of mortality in people with prediabetes and diabetes: a prospective cohort study. Int J Behav Nutr Phys Act 2023; 20:81. [PMID: 37415151 DOI: 10.1186/s12966-023-01488-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Sedentary behavior is prevalent among people with diabetes and is associated with unfavorable cardiometabolic health. However, there is limited evidence regarding the impact of replacing sedentary time (ST) with physical activity on mortality in people with prediabetes and diabetes. We prospectively examined the association between accelerometer-measured ST and mortality among people with prediabetes and diabetes after adjusting for demographic characteristics, lifestyle factors, and moderate- to vigorous-intensity PA (MVPA). We further determined the effect of replacing ST with equal time of different types of physical activities on all-cause mortality. METHODS We included 1242 adults with prediabetes and 1037 with diabetes from the National Health and Nutrition Examination Survey. Restricted cubic splines were fitted to determine the dose-response association between ST and overall mortality. Isotemporal substitution modeling was used to explore the hazard ratio (HR) effects of ST replacement. RESULTS During a median follow-up of 14.1 years, 424 adults with prediabetes and 493 with diabetes died. Compared with the lowest tertile of ST, the multivariable-adjusted HRs for all-cause mortality in the highest tertile were 1.76 (95% confidence interval [CI] 1.19, 2.60) for participants with prediabetes and 1.76 (1.17, 2.65) for those with diabetes. Additionally, a linear association between ST and all-cause mortality was observed in adults with prediabetes and diabetes, with HRs for each 60 min/day increment in ST of 1.19 (1.10, 1.30) and 1.25 (1.12, 1.40), respectively. Isotemporal substitution results indicated that individuals with prediabetes whose ST was replaced by 30 min of light-intensity physical activity (LPA) and MVPA had 9% and 40% lower all-cause mortality, respectively. In people with diabetes, replacing sedentary behavior with an equivalent time of LPA and MVPA was also associated with mortality risk reduction (HR 0.89; 95% CI 0.84, 0.95 for LPA; HR 0.73; 95% CI 0.49, 1.11 for MVPA). CONCLUSIONS Higher ST was associated in a dose-response manner with an increased risk of premature mortality among adults with prediabetes and diabetes. Statistically replacing ST with LPA was potentially beneficial for health in this high-risk population.
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Affiliation(s)
- Ping Zhu
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
- Institute of Disease-Oriented Nutritional Research, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Guojuan Lao
- Department of Endocrinology and Metabolism, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Huipeng Li
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Rongshao Tan
- Institute of Disease-Oriented Nutritional Research, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Jianmin Ran
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China.
- Institute of Disease-Oriented Nutritional Research, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China.
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Collings PJ, Backes A, Aguayo GA, Fagherazzi G, Malisoux L. Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity and cardiometabolic risk in the ORISCAV-LUX 2 study. Diabetol Metab Syndr 2023; 15:70. [PMID: 37013622 PMCID: PMC10071757 DOI: 10.1186/s13098-023-01040-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND There is a considerable burden of sedentary time in European adults. We aimed to quantify the differences in adiposity and cardiometabolic health associated with theoretically exchanging sedentary time for alternative 24 h movement behaviours. METHODS This observational cross-sectional study included Luxembourg residents aged 18-79 years who each provided ≥ 4 valid days of triaxial accelerometry (n = 1046). Covariable adjusted compositional isotemporal substitution models were used to examine if statistically replacing device-measured sedentary time with more time in the sleep period, light physical activity (PA), or moderate-to-vigorous PA (MVPA) was associated with adiposity and cardiometabolic health markers. We further investigated the cardiometabolic properties of replacing sedentary time which was accumulated in prolonged (≥ 30 min) with non-prolonged (< 30 min) bouts. RESULTS Replacing sedentary time with MVPA was favourably associated with adiposity, high-density lipoprotein cholesterol, fasting glucose, insulin, and clustered cardiometabolic risk. Substituting sedentary time with light PA was associated with lower total body fat, fasting insulin, and was the only time-exchange to predict lower triglycerides and a lower apolipoprotein B/A1 ratio. Exchanging sedentary time with more time in the sleep period was associated with lower fasting insulin, and with lower adiposity in short sleepers. There was no significant evidence that replacing prolonged with non-prolonged sedentary time was related to outcomes. CONCLUSIONS Artificial time-use substitutions indicate that replacing sedentary time with MVPA is beneficially associated with the widest range of cardiometabolic risk factors. Light PA confers some additional and unique metabolic benefit. Extending sleep, by substituting sedentary time with more time in the sleep period, may lower obesity risk in short sleepers.
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Affiliation(s)
- Paul J Collings
- Physical Activity, Sport and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Anne Backes
- Physical Activity, Sport and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Gloria A Aguayo
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
| | - Laurent Malisoux
- Physical Activity, Sport and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, L-1445, Strassen, Luxembourg.
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Rovniak LS, Cho J, Freivalds A, Kong L, De Araujo-Greecher M, Bopp M, Sciamanna CN, Rothrock L. Effects of Desk Pedaling Work Rate on Concurrent Work Performance among Physically Inactive Adults: A Randomized Experiment. Med Sci Sports Exerc 2023; 55:20-31. [PMID: 35977110 PMCID: PMC9771969 DOI: 10.1249/mss.0000000000003026] [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] [Indexed: 02/04/2023]
Abstract
PURPOSE Under-desk pedaling devices could help reduce health risks associated with the global decline in work-related energy expenditure. However, the optimal pedaling work rate to facilitate concurrent work performance among physically inactive adults is unclear. We examined the effects of two light-intensity pedaling work rates on physically inactive adults' work performance. METHODS We recruited equal numbers of older (45-65 yr) versus younger (20-44 yr), male versus female, and overweight/obese (body mass index [BMI], 25-35 kg·m -2 ) versus normal weight (BMI, 18.5-24.9 kg·m -2 ) participants. Using a Graeco-Latin square design, participants ( n = 96) completed a laboratory experiment to evaluate the effects of using an under-desk pedaling device at two seated light-intensity work rates (17 and 25 W), relative to a seated nonpedaling condition on objectively measured typing, reading, logical reasoning, and phone task performance. Ergonomic comfort under each pedaling work rate was also assessed. Equivalence tests were used to compare work performance under the pedaling versus nonpedaling conditions. RESULTS Treatment fidelity to the 17- and 25-W pedaling work rates exceeded 95%. Mean work performance scores for each pedaling and nonpedaling condition were equivalent under alpha = 0.025. Age, sex, and BMI did not significantly moderate the effect of pedaling on work performance. Participants reported greater ergonomic comfort while completing work tasks at the 17-W relative to the 25-W work rate. CONCLUSIONS Physically inactive adults obtained similar work performance scores under the 17- and 25-W pedaling and the nonpedaling conditions, suggesting that either pedaling work rate could help reduce health risks of sedentary work time. The 17-W work rate yielded greater ergonomic comfort and may be an appropriate starting point for introducing diverse inactive workers to under-desk pedaling.
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Affiliation(s)
- Liza S. Rovniak
- Division of General Internal Medicine, Departments of Medicine and Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA
| | - Jay Cho
- Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA
| | - Andris Freivalds
- Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA
| | - Lan Kong
- Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA
| | | | - Melissa Bopp
- Department of Kinesiology, Pennsylvania State University, University Park, PA
| | - Christopher N. Sciamanna
- Division of General Internal Medicine, Departments of Medicine and Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA
| | - Ling Rothrock
- Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA
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DAWKINS NATHANP, YATES TOM, EDWARDSON CHARLOTTEL, MAYLOR BEN, HENSON JOSEPH, HALL ANDREWP, DAVIES MELANIEJ, DUNSTAN DAVIDW, HIGHTON PATRICKJ, HERRING LOUISAY, KHUNTI KAMLESH, ROWLANDS ALEXV. Importance of Overall Activity and Intensity of Activity for Cardiometabolic Risk in Those with and Without a Chronic Disease. Med Sci Sports Exerc 2022; 54:1582-1590. [DOI: 10.1249/mss.0000000000002939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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7
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Joint associations of accelerometer-measured physical activity and sedentary time with cardiometabolic risk in older adults: A cross-sectional study. Exp Gerontol 2022; 165:111839. [DOI: 10.1016/j.exger.2022.111839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 11/18/2022]
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8
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Hara M, Nishida Y, Tanaka K, Shimanoe C, Koga K, Furukawa T, Higaki Y, Shinchi K, Ikezaki H, Murata M, Takeuchi K, Tamura T, Hishida A, Tsukamoto M, Kadomatsu Y, Matsuo K, Oze I, Haruo M, Miho K, Takezaki T, Ibusuki R, Suzuki S, Nakagawa-Senda H, Matsui D, Koyama T, Kuriki K, Takashima N, Nakamura Y, Arisawa K, Katsuura-Kamano S, Wakai K. Moderate-to-vigorous physical activity and sedentary behavior are independently associated with renal function: a cross-sectional study. J Epidemiol 2021. [PMID: 34657911 PMCID: PMC10165219 DOI: 10.2188/jea.je20210155] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Little is known about whether insufficient moderate-to-vigorous physical activity (MVPA) and longer sedentary behavior (SB) are independently associated with estimated glomerular filtration rate (eGFR) and CKD, whether they interact with known risk factors for CKD, and the effect of replacing sedentary time with an equivalent duration of physical activity on kidney function. METHODS We examined the cross-sectional association of MVPA and SB with eGFR and CKD in 66,603 Japanese cohort study in 14 areas from 2004 to 2013. MVPA and SB were estimated using a self-reported questionnaire, and CKD was defined as eGFR<60 mL/min/1.73 m2. Multiple linear regression analyses, logistic regression analyses, and an isotemporal substitution model were applied. RESULTS After adjusting for potential confounders, higher MVPA and longer SB were independently associated with higher eGFR (Pfor trend MVPA<0.0001) and lower eGFR (Pfor trend SB<0.0001), and a lower odds ratio (OR) of CKD (adjusted OR of MVPA≥20 MET·h/day: 0.76 [95%CI: 0.68-0.85] compared to MVPA<5 MET·h/day) and a higher OR of CKD (adjusted OR of SB≥16 h/day: 1.81 [95%CI: 1.52-2.15] compared to SB<7 h/day), respectively. The negative association between MVPA and CKD was stronger in men, and significant interactions between sex and MVPA were detected. Replacing 1 hour of SB with 1 hour of physical activity was associated with about 3 to 4% lower OR of CKD. CONCLUSIONS These findings indicate that replacing SB with physical activity may benefit kidney function, especially in men, adding to the possible evidence on CKD prevention.
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Affiliation(s)
- Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Chisato Shimanoe
- Department of Preventive Medicine, Faculty of Medicine, Saga University.,Clinical Research Center, Saga University Hospital
| | - Kayoko Koga
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Takuma Furukawa
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Yasuki Higaki
- Laboratory of Exercise Physiology, Faculty of Sports and Health Science, Fukuoka University
| | - Koichi Shinchi
- Division of International Health and Nursing, Faculty of Medicine, Saga University
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Kyushu University Graduate School of Medical Sciences Faculty of Medical Sciences
| | - Masayuki Murata
- Department of General Internal Medicine, Kyushu University Hospital
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Mineko Tsukamoto
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Yuka Kadomatsu
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute.,Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
| | - Mikami Haruo
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Kusakabe Miho
- Cancer Prevention Center, Chiba Cancer Center Research Institute
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Hiroko Nakagawa-Senda
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka
| | - Naoyuki Takashima
- Department of Public Health, Faculty of Medicine, Kindai University.,Department of Public Health, Shiga University of Medical Science
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science.,Yamashina Racto Clinic and Medical Examination Center
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences
| | | | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
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9
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Modelling the Reallocation of Time Spent Sitting into Physical Activity: Isotemporal Substitution vs. Compositional Isotemporal Substitution. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126210. [PMID: 34201369 PMCID: PMC8229040 DOI: 10.3390/ijerph18126210] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/25/2021] [Accepted: 05/26/2021] [Indexed: 12/18/2022]
Abstract
Isotemporal substitution modelling (ISM) and compositional isotemporal modelling (CISM) are statistical approaches used in epidemiology to model the associations of replacing time in one physical behaviour with time in another. This study’s aim was to use both ISM and CISM to examine and compare associations of reallocating 60 min of sitting into standing or stepping with markers of cardiometabolic health. Cross-sectional data collected during three randomised control trials (RCTs) were utilised. All participants (n = 1554) were identified as being at high risk of developing type 2 diabetes. Reallocating 60 min from sitting to standing and to stepping was associated with a lower BMI, waist circumference, and triglycerides and higher high-density lipoprotein cholesterol using both ISM and CISM (p < 0.05). The direction and magnitude of significant associations were consistent across methods. No associations were observed for hemoglobin A1c, total cholesterol, or low-density lipoprotein cholesterol for either method. Results of both ISM and CISM were broadly similar, allowing for the interpretation of previous research, and should enable future research in order to make informed methodological, data-driven decisions.
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Sjöros T, Vähä-Ypyä H, Laine S, Garthwaite T, Löyttyniemi E, Sievänen H, Kalliokoski KK, Knuuti J, Vasankari T, Heinonen IHA. Influence of the Duration and Timing of Data Collection on Accelerometer-Measured Physical Activity, Sedentary Time and Associated Insulin Resistance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094950. [PMID: 34066552 PMCID: PMC8125504 DOI: 10.3390/ijerph18094950] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/28/2021] [Accepted: 05/05/2021] [Indexed: 02/06/2023]
Abstract
Accelerometry is a commonly used method to determine physical activity in clinical studies, but the duration and timing of measurement have seldom been addressed. We aimed to evaluate possible changes in the measured outcomes and associations with insulin resistance during four weeks of accelerometry data collection. This study included 143 participants (median age of 59 (IQR9) years; mean BMI of 30.7 (SD4) kg/m2; 41 men). Sedentary and standing time, breaks in sedentary time, and different intensities of physical activity were measured with hip-worn accelerometers. Differences in the accelerometer-based results between weeks 1, 2, 3 and 4 were analyzed by mixed models, differences during winter and summer by two-way ANOVA, and the associations between insulin resistance and cumulative means of accelerometer results during weeks 1 to 4 by linear models. Mean accelerometry duration was 24 (SD3) days. Sedentary time decreased after three weeks of measurement. More physical activity was measured during summer compared to winter. The associations between insulin resistance and sedentary behavior and light physical activity were non-significant after the first week of measurement, but the associations turned significant in two to three weeks. If the purpose of data collection is to reveal associations between accelerometer-measured outcomes and tenuous health outcomes, such as insulin sensitivity, data collection for at least three weeks may be needed.
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Affiliation(s)
- Tanja Sjöros
- Turku PET Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland; (S.L.); (T.G.); (K.K.K.); (J.K.); (I.H.A.H.)
- Correspondence: ; Tel.: +358-29-45-02-085
| | - Henri Vähä-Ypyä
- The UKK-Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland; (H.V.-Y.); (H.S.); (T.V.)
| | - Saara Laine
- Turku PET Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland; (S.L.); (T.G.); (K.K.K.); (J.K.); (I.H.A.H.)
| | - Taru Garthwaite
- Turku PET Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland; (S.L.); (T.G.); (K.K.K.); (J.K.); (I.H.A.H.)
| | | | - Harri Sievänen
- The UKK-Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland; (H.V.-Y.); (H.S.); (T.V.)
| | - Kari K. Kalliokoski
- Turku PET Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland; (S.L.); (T.G.); (K.K.K.); (J.K.); (I.H.A.H.)
| | - Juhani Knuuti
- Turku PET Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland; (S.L.); (T.G.); (K.K.K.); (J.K.); (I.H.A.H.)
| | - Tommi Vasankari
- The UKK-Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland; (H.V.-Y.); (H.S.); (T.V.)
- Faculty of Medicine and Health Technology, Tampere University, 33720 Tampere, Finland
| | - Ilkka H. A. Heinonen
- Turku PET Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland; (S.L.); (T.G.); (K.K.K.); (J.K.); (I.H.A.H.)
- Rydberg Laboratory of Applied Sciences, University of Halmstad, 30118 Halmstad, Sweden
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Farrahi V, Kangas M, Kiviniemi A, Puukka K, Korpelainen R, Jämsä T. Accumulation patterns of sedentary time and breaks and their association with cardiometabolic health markers in adults. Scand J Med Sci Sports 2021; 31:1489-1507. [PMID: 33811393 DOI: 10.1111/sms.13958] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 01/20/2023]
Abstract
Breaking up sedentary time with physical activity (PA) could modify the detrimental cardiometabolic health effects of sedentary time. Our aim was to identify profiles according to distinct accumulation patterns of sedentary time and breaks in adults, and to investigate how these profiles are associated with cardiometabolic outcomes. Participants (n = 4439) of the Northern Finland Birth Cohort 1966 at age 46 years wore a hip-worn accelerometer for 7 consecutive days during waking hours. Uninterrupted ≥1-min sedentary bouts were identified, and non-sedentary bouts in between two consecutive sedentary bouts were considered as sedentary breaks. K-means clustering was performed with 65 variables characterizing how sedentary time was accumulated and interrupted. Linear regression was used to determine the association of accumulation patterns with cardiometabolic health markers. Four distinct groups were formed as follows: "Couch potatoes" (n = 1222), "Prolonged sitters" (n = 1179), "Shortened sitters" (n = 1529), and "Breakers" (n = 509). Couch potatoes had the highest level of sedentariness and the shortest sedentary breaks. Prolonged sitters, accumulating sedentary time in bouts of ≥15-30 min, had no differences in cardiometabolic outcomes compared with Couch potatoes. Shortened sitters accumulated sedentary time in bouts lasting <15 min and performed more light-intensity PA in their sedentary breaks, and Breakers performed more light-intensity and moderate-to-vigorous PA. These latter two profiles had lower levels of adiposity, blood lipids, and insulin sensitivity, compared with Couch potatoes (1.1-25.0% lower values depending on the cardiometabolic health outcome, group, and adjustments for potential confounders). Avoiding uninterrupted sedentary time with any active behavior from light-intensity upwards could be beneficial for cardiometabolic health in adults.
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Affiliation(s)
- Vahid Farrahi
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Maarit Kangas
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Antti Kiviniemi
- Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland.,Research Unit of Internal Medicine, University of Oulu, Oulu, Finland
| | - Katri Puukka
- Department of Clinical Chemistry, NordLab Oulu, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Raija Korpelainen
- Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland
| | - Timo Jämsä
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland.,Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
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12
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Both sedentary time and physical activity are associated with cardiometabolic health in overweight adults in a 1 month accelerometer measurement. Sci Rep 2020; 10:20578. [PMID: 33239818 PMCID: PMC7688927 DOI: 10.1038/s41598-020-77637-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 11/09/2020] [Indexed: 12/31/2022] Open
Abstract
The aim of this study was to examine the associations of cardiometabolic health markers with device-measured sedentary behavior (SB) duration and different intensities of physical activity (PA) among overweight working-aged adults with low self-reported PA levels. This cross-sectional analysis included 144 subjects (42 men) with mean age of 57 (SD 6.5) years and mean BMI of 31.7 (SD 4) kg/m2. SB and standing time, breaks in sedentary time, light PA (LPA) and moderate-to-vigorous PA (MVPA) were measured for 4 consecutive weeks (mean 25 days, SD 4) with hip-worn accelerometers. Fasting plasma glucose, insulin, HbA1c, triglycerides and total cholesterol, HDL and LDL were measured from venous blood samples. HOMA-IR index was calculated as a surrogate of insulin resistance. The associations were examined using linear models. LPA, MVPA, and daily steps associated with better insulin sensitivity and favorable plasma lipid profile, when adjusted for age, sex and BMI, whereas greater proportion of SB associated with insulin resistance and unfavorable lipid profile. As all PA intensities associated with better cardiometabolic health, the total daily duration of PA may be more relevant than intensity in maintaining metabolic health in overweight adults, if the current guidelines for PA are not met. Trial Registration: ClinicalTrials.gov NCT03101228, registered 05/04/2017, https://clinicaltrials.gov/show/NCT03101228.
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