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Brown DMY, Burkart S, Groves CI, Balbim GM, Pfledderer CD, Porter CD, Laurent CS, Johnson EK, Kracht CL. A systematic review of research reporting practices in observational studies examining associations between 24-h movement behaviors and indicators of health using compositional data analysis. JOURNAL OF ACTIVITY, SEDENTARY AND SLEEP BEHAVIORS 2024; 3:23. [PMID: 39371105 PMCID: PMC11446952 DOI: 10.1186/s44167-024-00062-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 09/02/2024] [Indexed: 10/08/2024]
Abstract
Background Compositional data analysis (CoDA) techniques are well suited for examining associations between 24-h movement behaviors (i.e., sleep, sedentary behavior, physical activity) and indicators of health given they recognize these behaviors are co-dependent, representing relative parts that make up a whole day. Accordingly, CoDA techniques have seen increased adoption in the past decade, however, heterogeneity in research reporting practices may hinder efforts to synthesize and quantify these relationships via meta-analysis. This systematic review described reporting practices in studies that used CoDA techniques to investigate associations between 24-h movement behaviors and indicators of health. Methods A systematic search of eight databases was conducted, in addition to supplementary searches (e.g., forward/backward citations, expert consultation). Observational studies that used CoDA techniques involving log-ratio transformation of behavioral data to examine associations between time-based estimates of 24-h movement behaviors and indicators of health were included. Reporting practices were extracted and classified into seven areas: (1) methodological justification, (2) behavioral measurement and data handling strategies, (3) composition construction, (4) analytic plan, (5) composition-specific descriptive statistics, (6) model results, and (7) auxiliary information. Study quality and risk of bias were assessed by the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-sectional Studies. Results 102 studies met our inclusion criteria. Reporting practices varied considerably across areas, with most achieving high standards in methodological justification, but inconsistent reporting across all other domains. Some items were reported in all studies (e.g., how many parts the daily composition was partitioned into), whereas others seldom reported (e.g., definition of a day: midnight-to-midnight versus wake-to-wake). Study quality and risk of bias was fair in most studies (85%). Conclusions Current studies generally demonstrate inconsistent reporting practices. Consistent, clear and detailed reporting practices are evidently needed moving forward as the field of time-use epidemiology aims to accurately capture and analyze movement behavior data in relation to health outcomes, facilitate comparisons across studies, and inform public health interventions and policy decisions. Achieving consensus regarding reporting recommendations is a key next step. Supplementary Information The online version contains supplementary material available at 10.1186/s44167-024-00062-8.
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Affiliation(s)
| | - Sarah Burkart
- University of South Carolina, Arnold School of Public Health, 921 Assembly St, Columbia, SC 29208 USA
| | - Claire I. Groves
- The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249 USA
| | | | - Christopher D. Pfledderer
- The University of Texas Health Science Center Houston, School of Public Health in Austin, Austin, TX 78701 USA
| | - Carah D. Porter
- Kansas State University, 1105 Sunset Ave, Manhattan, KS 66502 USA
| | | | - Emily K. Johnson
- The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249 USA
| | - Chelsea L. Kracht
- University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160 USA
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Xia T, Li J, Chen L. Association of Occupational and Leisure-Time Physical Activity With Allostatic Load. Am J Prev Med 2024; 67:328-338. [PMID: 38648906 DOI: 10.1016/j.amepre.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
INTRODUCTION Leisure-time physical activity decreases allostatic load, a measure of burden of chronic stress. However, the role of occupational physical activity is unknown. This study examined associations of occupational physical activity and leisure-time physical activity with allostatic load among workers in the U.S. METHODS This cross-sectional study included 6,944 U.S. workers aged 20-64 years from the National Health and Nutrition Examination Survey (2007-2018). Physical activity was assessed using the Global Physical Activity Questionnaire. Allostatic load was calculated using biomarkers of cardiovascular, metabolic, and immune systems. Associations of occupational physical activity and leisure-time physical activity with allostatic load were examined using negative binomial regressions. Analyses were conducted between August 2022 and March 2023. RESULTS Vigorous leisure-time physical activity inversely associated with allostatic load among all workers (count ratio=0.68, 95% CI=0.62, 0.76) and in each sex- and age-stratified group as well as in each race/ethnicity-stratified group. Vigorous occupational physical activity positively associated with allostatic load only among females aged 20-44 years (1.38, 95% CI=1.10, 1.73). Inverse associations of vigorous leisure-time physical activity with allostatic load were similar in young females with high or low vigorous occupational physical activity. CONCLUSIONS Increasing vigorous leisure-time physical activity associates with a lower allostatic load for all workers, whereas increasing vigorous occupational physical activity associates with a higher allostatic load only in young females. Promoting vigorous leisure-time physical activity reduces allostatic load among young females with either low or high vigorous occupational physical activity.
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Affiliation(s)
- Tong Xia
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Jian Li
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California; Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California; School of Nursing, University of California, Los Angeles, Los Angeles, California
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California.
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Thomas JJC, Daley AJ, Esliger DW, Kettle VE, Coombe A, Stamatakis E, Sanders JP. Accelerometer-Measured Physical Activity Data Sets (Global Physical Activity Data Set Catalogue) That Include Markers of Cardiometabolic Health: Systematic Scoping Review. J Med Internet Res 2023; 25:e45599. [PMID: 37467026 PMCID: PMC10398367 DOI: 10.2196/45599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/18/2023] [Accepted: 05/08/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Cardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the relationship between cardiometabolic health and accelerometer-measured physical activity. This scoping review aimed to map the available data sets that have collected accelerometer-measured physical activity and cardiometabolic health markers. These data were then used to inform the development of a publicly available resource, the Global Physical Activity Data set (GPAD) catalogue. OBJECTIVE This review aimed to systematically identify data sets that have measured physical activity using accelerometers and cardiometabolic health markers using either an observational or interventional study design. METHODS Databases, trial registries, and gray literature (inception until February 2021; updated search from February 2021 to September 2022) were systematically searched to identify studies that analyzed data sets of physical activity and cardiometabolic health outcomes. To be eligible for inclusion, data sets must have measured physical activity using an accelerometric device in adults aged ≥18 years; a sample size >400 participants (unless recruited participants in a low- and middle-income country where a sample size threshold was reduced to 100); used an observational, longitudinal, or trial-based study design; and collected at least 1 cardiometabolic health marker (unless only body mass was measured). Two reviewers screened the search results to identify eligible studies, and from these, the unique names of each data set were recorded, and characteristics about each data set were extracted from several sources. RESULTS A total of 17,391 study reports were identified, and after screening, 319 were eligible, with 122 unique data sets in these study reports meeting the review inclusion criteria. Data sets were found in 49 countries across 5 continents, with the most developed in Europe (n=53) and the least in Africa and Oceania (n=4 and n=3, respectively). The most common accelerometric brand and device wear location was Actigraph and the waist, respectively. Height and body mass were the most frequently measured cardiometabolic health markers in the data sets (119/122, 97.5% data sets), followed by blood pressure (82/122, 67.2% data sets). The number of participants in the included data sets ranged from 103,712 to 120. Once the review processes had been completed, the GPAD catalogue was developed to house all the identified data sets. CONCLUSIONS This review identified and mapped the contents of data sets from around the world that have collected potentially harmonizable accelerometer-measured physical activity and cardiometabolic health markers. The GPAD catalogue is a web-based open-source resource developed from the results of this review, which aims to facilitate the harmonization of data sets to produce evidence that will reduce the burden of disease from physical inactivity.
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Affiliation(s)
- Jonah J C Thomas
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - Amanda J Daley
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - Dale W Esliger
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
- Lifestyle, National Institute of Health Research Leicester Biomedical Research Centre, Leicester, United Kingdom
| | - Victoria E Kettle
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - April Coombe
- Public Health, Epidemiology and Biostatistics, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Emmanuel Stamatakis
- Charles Perkin Centre, Faculty of Medicine and Health Science, University of Sydney, Sydney, Australia
| | - James P Sanders
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
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Liangruenrom N, Dumuid D, Pedisic Z. Physical activity, sedentary behaviour, and sleep in the Thai population: A compositional data analysis including 135,824 participants from two national time-use surveys. PLoS One 2023; 18:e0280957. [PMID: 36693050 PMCID: PMC9873167 DOI: 10.1371/journal.pone.0280957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 12/31/2022] [Indexed: 01/25/2023] Open
Abstract
PURPOSE To determine the amounts of time spent in physical activity (PA), sedentary behaviour (SB), and sleep in the Thai population, as well as their sociodemographic correlates and changes over time. METHODS We analysed cross-sectional data collected in a population-representative, stratified random sample of 135,824 Thais aged 10 years and over as part of the two most recent Thai National time-use surveys (2009 and 2015). Daily activities reported by the participants were coded using the International Classification of Activities for Time-Use Statistics (ICATUS) and categorised as PA, SB, or sleep. RESULTS In the latest survey, participants spent on average the largest amount of time sleeping (geometric mean [g] = 9.44 h/day; 95% confidence interval [CI]: 9.42, 9.47), followed by PA (g = 8.60 h/day; 95% CI: 8.55, 8.64) and SB (g = 5.96 h/day; 95% CI: 5.93, 6.00). The time spent in PA was higher on weekdays, while the amounts of SB and sleep were higher on weekends (p < 0.05). Males, older age groups, and unemployed people spent less time in PA and more time in SB, compared with other population groups (p < 0.05). We found a relatively large increase in SB (mean difference [d] = 39.64 min/day; 95% CI: 36.18, 42.98) and decrease in PA (d = 54.33 min/day; 95% CI: -58.88, -49.30) over time. These findings were consistent across most sociodemographic groups, with the most concerning shifts from active to sedentary lifestyle found among people with a higher education degree and on weekends. CONCLUSIONS Our findings revealed a shift to a more sedentary lifestyle in the Thai population. Public health interventions should focus on improving time use among males, older age groups, and unemployed people, while preventing the rapid decrease in PA and increase in SB among those with a higher education degree and on weekends.
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Affiliation(s)
- Nucharapon Liangruenrom
- Institute for Population and Social Research, Mahidol University, Phutthamonthon, Nakhon Pathom, Thailand
- * E-mail:
| | - Dorothea Dumuid
- Allied Health & Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia
- Centre for Adolescent Health, Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
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Brusaca LA, Januario LB, Mathiassen SE, Barbieri DF, Oliveira RV, Heiden M, Oliveira AB, Hallman DM. Sedentary behaviour, physical activity, and sleep among office workers during the COVID-19 pandemic: a comparison of Brazil and Sweden. BMC Public Health 2022; 22:2196. [PMID: 36443752 PMCID: PMC9702952 DOI: 10.1186/s12889-022-14666-9] [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: 08/16/2022] [Accepted: 11/17/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has affected the physical behaviours of office workers worldwide, but studies comparing physical behaviours between countries with similar restrictions policies are rare. This study aimed to document and compare the 24-hour time-use compositions of physical behaviours among Brazilian and Swedish office workers on working and non-working days during the pandemic. METHODS Physical behaviours were monitored over 7 days using thigh-worn accelerometers in 73 Brazilian and 202 Swedish workers. Daily time-use compositions were exhaustively described in terms of sedentary behaviour (SED) in short (< 30 min) and long (≥30 min) bouts, light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and time-in-bed. We examined differences between countries using MANOVA on data processed according to compositional data analysis. As Swedish workers had the possibility to do hybrid work, we conducted a set of sensitivity analyses including only data from days when Swedish workers worked from home. RESULTS During working days, Brazilian office workers spent more time SED in short (294 min) and long (478 min) bouts and less time in LPA (156 min) and MVPA (50 min) than Swedish workers (274, 367, 256 and 85 min, respectively). Time spent in bed was similar in both groups. Similar differences between Brazilians and Swedes were observed on non-working days, while workers were, in general, less sedentary, more active and spent more time-in-bed than during working days. The MANOVA showed that Brazilians and Swedes differed significantly in behaviours during working (p < 0.001, ηp2 = 0.36) and non-working days (p < 0.001, ηp2 = 0.20). Brazilian workers spent significantly more time in SED relative to being active, less time in short relative to long bouts in SED, and more time in LPA relative to MVPA, both during workdays and non-workdays. Sensitivity analyses only on data from days when participants worked from home showed similar results. CONCLUSIONS During the COVID-19 pandemic Brazilian office workers were more sedentary and less active than Swedish workers, both during working and non-working days. Whether this relates to the perception or interpretation of restrictions being different or to differences present even before the pandemic is not clear, and we encourage further research to resolve this important issue.
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Affiliation(s)
- Luiz Augusto Brusaca
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, Washington Luiz Road, km 235, SP310, 13565-905, São Carlos, São Paulo, Brazil
| | - Leticia Bergamin Januario
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, SE-801 76 Gävle, Sweden
| | - Svend Erik Mathiassen
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, SE-801 76 Gävle, Sweden
| | - Dechristian França Barbieri
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, Washington Luiz Road, km 235, SP310, 13565-905, São Carlos, São Paulo, Brazil
- Department of Industrial Engineering, Clemson University, 277A Freeman Hall, SC, 29634 Clemson, USA
| | - Rafaela Veiga Oliveira
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, Washington Luiz Road, km 235, SP310, 13565-905, São Carlos, São Paulo, Brazil
| | - Marina Heiden
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, SE-801 76 Gävle, Sweden
| | - Ana Beatriz Oliveira
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, Washington Luiz Road, km 235, SP310, 13565-905, São Carlos, São Paulo, Brazil
| | - David M. Hallman
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, SE-801 76 Gävle, Sweden
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Gupta N, Bjerregaard SS, Yang L, Forsman M, Rasmussen CL, Nørregaard Rasmussen CD, Clays E, Holtermann A. Does occupational forward bending of the back increase long-term sickness absence risk? A 4-year prospective register-based study using device-measured compositional data analysis. Scand J Work Environ Health 2022; 48:651-661. [PMID: 35894796 PMCID: PMC10546616 DOI: 10.5271/sjweh.4047] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVE Forward bending of the back is common in many jobs and a risk factor for sickness absence. However, this knowledge is based on self-reported forward bending that is generally imprecise. Thus, we aimed to investigate the dose-response relation between device-measured forward bending at work and prospective register-based risk of long-term sickness absence (LTSA). METHODS At baseline, 944 workers (93% from blue-collar jobs) wore accelerometers on their upper back and thigh over 1-6 workdays to measure worktime with forward bending (>30˚ and >60˚) and body positions. The first event of LTSA (≥6 consecutive weeks) over a 4-year follow-up were retrieved from a national register. Compositional Cox proportional hazard analyses were used to model the association between worktime with forward bending of the back in an upright body position and LTSA adjusted for age, sex, body mass index (BMI), occupational lifting/carrying, type of work, and, in an additional step, for leisure time physical activity (PA) on workdays. RESULTS During a mean worktime of 457 minutes/day, the workers on average spent 40 and 10 minutes on forward bending >30˚ and >60˚ in the upright position, respectively. Five more minutes forward bending >30˚ and >60˚ at work were associated with a 4% [95% confidence interval (CI) 1.01-1.07] and 8% (95% CI 1.01-1.16) higher LTSA risk, respectively. Adjustment for leisure-time PA did not influence the results. CONCLUSION We found a dose-response association between device-measured forward bending of the back and prospective LTSA risk. This knowledge can be integrated into available feasible methods to measure forward bending of the back for improved workplace risk assessment and prevention.
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Affiliation(s)
- Nidhi Gupta
- Department of musculoskeletal disorders and physical workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Søren Skotte Bjerregaard
- Department of analysis and data, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Liyun Yang
- School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Huddinge, Sweden
- IMM Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Forsman
- School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Huddinge, Sweden
- IMM Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Charlotte Lund Rasmussen
- Department of musculoskeletal disorders and physical workload, National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Faculty of Physical Culture, Palacký University, Olomouc, Czech Republic
| | | | - Els Clays
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Andreas Holtermann
- Department of musculoskeletal disorders and physical workload, National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
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Feinberg JB, Møller A, Siersma V, Bruunsgaard H, Mortensen OS. Physical activity paradox: could inflammation be a key factor? Br J Sports Med 2022; 56:bjsports-2022-105429. [PMID: 35961763 DOI: 10.1136/bjsports-2022-105429] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/28/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE The aim of this study was to test the extent to which physical activity performed during work and leisure is associated with systemic inflammation. METHODS Data regarding job history and high-sensitivity C reactive protein (hs-CRP) levels, as well as potential confounders, came from the Copenhagen Aging and Midlife Biobank. The participants' self-reported job history was combined with a job exposure matrix to give a more valid assessment of cumulated occupational physical activity compared with conventional self-reported activity. Occupational physical activity was measured as cumulative ton-years (lifting 1000 kg each day for a year). Current leisure time physical activity was self-reported into four different categories. We analysed the association between occupational physical activity, current leisure time physical activity and hs-CRP level in a multivariable linear regression model with adjustment for age, sex, smoking history, number of chronic diseases, body mass index and alcohol. RESULTS In unadjusted analysis, higher occupational physical activity was associated with increased hs-CRP levels, while higher leisure time physical activity was associated with lower hs-CRP levels. In adjusted analysis, lower leisure time physical activity resulted in 12% higher hs-CRP levels while higher occupational physical activities showed a 6% increase in hs-CRP. When we analysed occupational and leisure time physical activity as continuous variables, only leisure time physical activity affected hs-CRP. CONCLUSION This study indicates that the relationship between physical activity and hs-CRP depends on the setting of physical activity, with lower hs-CRP related to leisure time physical activity and higher hs-CRP related to occupational physical activity. The results suggest that systemic inflammation may explain the physical activity paradox.
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Affiliation(s)
- Joshua Buron Feinberg
- Department of Occupational and Social Medicine, Holbaek Hospital, Holbaek, Denmark
- Faculty of Health Sciences, Institute of Regional Health, University of Southern Denmark, Odense, Denmark
| | - Anne Møller
- Department of Public Health, The Research Unit for General Practice and Section of General Practice, University of Copenhagen, Copenhagen, Denmark
| | - Volkert Siersma
- Department of Public Health, The Research Unit for General Practice and Section of General Practice, University of Copenhagen, Copenhagen, Denmark
| | - Helle Bruunsgaard
- Department of Clinical Immunology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ole Steen Mortensen
- Department of Occupational and Social Medicine, Holbaek Hospital, Holbaek, Denmark
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Gupta N, Rasmussen CL, Hartvigsen J, Mortensen OS, Clays E, Bültmann U, Holtermann A. Physical Activity Advice for Prevention and Rehabilitation of Low Back Pain- Same or Different? A Study on Device-Measured Physical Activity and Register-Based Sickness Absence. JOURNAL OF OCCUPATIONAL REHABILITATION 2022; 32:284-294. [PMID: 34626301 PMCID: PMC9232440 DOI: 10.1007/s10926-021-10005-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/09/2021] [Indexed: 05/15/2023]
Abstract
Purpose We lack knowledge on whether the advice of "being physically active" should be the same for prevention and rehabilitation of low back pain (LBP). Sickness absence is a key outcome for LBP prevention and rehabilitation. We investigated the associations between physical activity and long-term sickness absence (LTSA) among employees with and without LBP. Methods Between 2011 and 2013, 925 Danish employees wore a Actigraph GTX3 accelerometer for 1-5 workdays to measure physical activity and reported LBP in past 7 days. Employees were followed for 4 years to determine their first register-based LTSA event (≥ 6 consecutive weeks). Results Among employees with LBP, increasing moderate-to-vigorous-intensity physical activity at work by 20 min and decreasing the remaining behaviors at work (ie., sitting, standing and light-intensity activity) by 20 min was associated with 38% (95% CI 17%; 63%) higher LTSA risk. Increasing light-intensity activity at work by 20 min and decreasing 20 min from the remaining behaviors was associated with 18% (95% CI 4%; 30%) lower risk. During leisure, increasing moderate-to-vigorous-intensity activity by 20 min or standing by 40 min was associated with 26% (95% CI 3%; 43%) lower and 37% (95% CI 0%; 87%) higher risk, respectively. Among employees without LBP, we found no such associations. Conclusions The physical activity advice ought to be different for LBP prevention and rehabilitation to reduce LTSA risk, and specified by domain and activity intensity. At work, employees with LBP should be advised to spend time on light-intensity physical activity and limit their time on moderate-to-vigorous-intensity physical activity. During leisure, employees should spend time on moderate-to-vigorous-intensity physical activity.
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Affiliation(s)
- Nidhi Gupta
- National Research Centre for the Working Environment, Lerso Parkalle 105, 2100, Copenhagen, Denmark.
| | - Charlotte Lund Rasmussen
- National Research Centre for the Working Environment, Lerso Parkalle 105, 2100, Copenhagen, Denmark
| | - Jan Hartvigsen
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Chiropractic Knowledge Hub, Odense, Denmark
| | - Ole Steen Mortensen
- Department of Occupational- and Social Medicine, Holbæk Hospital, Copenhagen University Hospital, Holbæk, Denmark
| | - Els Clays
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Ute Bültmann
- Department of Health Sciences, Community and Occupational Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Lerso Parkalle 105, 2100, Copenhagen, Denmark
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
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24-Hour Movement Behaviors Among US Adults With Functional Disabilities. J Phys Act Health 2022; 19:392-397. [PMID: 35418516 DOI: 10.1123/jpah.2021-0648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 01/12/2023]
Abstract
This study aimed to quantify and compare physical activity, sitting time, and sleep behaviors among US adults with and without disabilities using the 2020 Canadian 24-hour movement framework. The weighted prevalence of 24-hour movement guideline adherence was estimated among a nationally representative sample from the 2017 to 2018 National Health and Nutrition Examination Survey of US adults (18-65 years old) with (n = 1070) and without (n = 33,370) functional disabilities in vision, hearing, mobility, cognitive, and self-care domains. The adjusted odds of single and combination guideline compliance were estimated by disability type, in reference to adults without disabilities, using separate multivariable logistic regressions. After adjusting for age, sex, and income, adults with disabilities in mobility, cognitive, or self-care domains had approximately half the odds of meeting all 3 guidelines, compared with adults without disabilities (adjusted odds range: 0.49-0.77). Significantly lower adherence was observed among adults with functional disabilities, compared with no disabilities, for sleep, and moderate to vigorous physical activity, but not sedentary guidelines. This report establishes baseline prevalence estimates for guidelines compliance among US adults with functional disabilities ages 18-65 years old. Low guideline adherence, and evidence for significant differences in physical activity and sleep, signals a need to further explore combination health behaviors among adults with disabilities.
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Johansson MS, Holtermann A, Marott JL, Prescott E, Schnohr P, Korshøj M, Søgaard K. The physical activity health paradox and risk factors for cardiovascular disease: A cross-sectional compositional data analysis in the Copenhagen City Heart Study. PLoS One 2022; 17:e0267427. [PMID: 35446893 PMCID: PMC9022831 DOI: 10.1371/journal.pone.0267427] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/09/2022] [Indexed: 12/03/2022] Open
Abstract
Background Studies indicate that physical activity during leisure and work have opposite associations with cardiovascular disease (CVD) risk factors, referred to as the physical activity health paradox. We investigated how sedentary behaviour and physical activity types during leisure and work are associated with systolic blood pressure (SBP), waist circumference (WC), and low-density lipoprotein cholesterol (LDL-C) in an adult general population sample using compositional data analysis. Methods Participants wore accelerometers for 7 days (right thigh and iliac crest; 24 h/day) and had their SBP, WC, and LDL-C measured. Accelerometer data was analysed using the software Acti4 to derive daily time spent in sedentary behaviour and physical activity types. The measure of association was quantified by reallocating time between sedentary behaviour and 1) walking, and 2) high-intensity physical activity (HIPA; sum of climbing stairs, running, cycling, and rowing), during both domains. Results In total, 652 participants were included in the analyses (median wear time: 6 days, 23.8 h/day). During leisure, the results indicated that less sedentary behaviour and more walking or more HIPA was associated with lower SBP, while during work, the findings indicated an association with higher SBP. During both domains, the findings indicated that less sedentary behaviour and more HIPA was associated with a smaller WC and lower LDL-C. However, the findings indicated less sedentary behaviour and more walking to be associated with a larger WC and higher LDL-C, regardless of domain. Conclusions During leisure, less sedentary behaviour and more walking or HIPA seems to be associated with a lower SBP, but, during work, it seems to be associated with a higher SBP. No consistent differences between domains were observed for WC and LDL-C. These findings highlight the importance of considering the physical activity health paradox, at least for some risk factors for CVD.
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Affiliation(s)
- Melker S. Johansson
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- * E-mail:
| | - Andreas Holtermann
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Jacob L. Marott
- The Copenhagen City Heart Study, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
| | - Eva Prescott
- The Copenhagen City Heart Study, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - Peter Schnohr
- The Copenhagen City Heart Study, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
| | - Mette Korshøj
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Occupational and Social Medicine, Holbæk Hospital, Holbæk, Denmark
| | - Karen Søgaard
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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11
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Kitano N, Kai Y, Jindo T, Fujii Y, Tsunoda K, Arao T. Association of domain-specific physical activity and sedentary behavior with cardiometabolic health among office workers. Scand J Med Sci Sports 2022; 32:1224-1235. [PMID: 35426181 DOI: 10.1111/sms.14165] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 02/21/2022] [Accepted: 03/28/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Previous studies have reported opposite effects of occupational or non-occupational physical activity (PA) and sedentary behavior (SB) on health outcomes. However, no study has investigated the relationship between domain-specific movement behaviors and cardiometabolic health (CMH) among office workers, considering the compositional nature of time-use data. We investigated the associations of accelerometer-measured PA and SB for each domain (working time, non-working time on workday, and non-workday) with CMH indicators among office workers, using compositional data analysis. METHODS This cross-sectional study included 1258 Japanese office workers. The time spent on SB, light-intensity PA (LPA), and moderate- to vigorous-intensity PA (MVPA) were assessed using an accelerometer. CMH indicators were retrieved from the annual health check-up data. RESULTS Compositional multiple linear regression indicated that PA and SB during non-working time on workdays, but not working time or non-workdays, were significantly associated with CMH. In particular, during non-working time, time reallocations from SB to LPA and from SB to MVPA were associated with favorable changes in cardiometabolic risk score and lipid metabolism, respectively. Paradoxically, a greater proportion of LPA during non-working time was associated with favorable diastolic blood pressure (β = 1.61; 95% confidence interval [CI] = 0.02, 3.19), whereas occupational LPA was detrimental (β = -2.48; 95% CI = -4.87, -0.09). CONCLUSION Our results suggested that reducing SB and increasing PA during non-working time on workdays may be effective for managing CMH among office workers. Future longitudinal studies using compositional data analysis are required to confirm our results.
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Affiliation(s)
- Naruki Kitano
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan
| | - Yuko Kai
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan
| | - Takashi Jindo
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan.,Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Yuya Fujii
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan
| | - Kenji Tsunoda
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan.,Faculty of Social Welfare, Yamaguchi Prefectural University, Yamaguchi, Yamaguchi, Japan
| | - Takashi Arao
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Hachioji, Tokyo, Japan
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12
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An Exploratory Study on the Physical Activity Health Paradox-Musculoskeletal Pain and Cardiovascular Load during Work and Leisure in Construction and Healthcare Workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052751. [PMID: 35270444 PMCID: PMC8910306 DOI: 10.3390/ijerph19052751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 12/04/2022]
Abstract
Using a novel approach, this exploratory study investigated whether the physical activity (PA) paradox extends to cardiovascular load and musculoskeletal pain. At baseline, 1–2 days of 24 h heart rate was assessed in 72 workers from construction and healthcare. Workers then reported pain intensity in 9 body regions (scale 0–3) every 6 months for two years. The 2 year average of musculoskeletal pain (sum of 9 pain scores; scale 0–27) was regressed on time spent during work and leisure above three thresholds of percentage heart rate reserve (%HRR), i.e., ≥20 %HRR, ≥30 %HRR, and ≥40 %HRR, using a novel ilr structure in compositional data analysis. Analyses were stratified for several important variables. Workers spending more time in physical activity at work had higher pain, while workers with more time in physical activity during leisure had less pain (i.e., the PA paradox), but none of the associations were statistically significant. Higher aerobic capacity and lower body mass index lowered the pain score among those with higher physical activity at work. This exploratory study suggests that the PA paradox may apply to musculoskeletal pain and future studies with larger sample sizes and additional exposure analyses are needed to explain why this occurs.
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13
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Janssen I, Clarke AE, Carson V, Chaput JP, Giangregorio LM, Kho ME, Poitras VJ, Ross R, Saunders TJ, Ross-White A, Chastin SFM. A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults. Appl Physiol Nutr Metab 2021; 45:S248-S257. [PMID: 33054342 DOI: 10.1139/apnm-2020-0160] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This systematic review determined if the composition of time spent in movement behaviours (i.e., sleep, sedentary behaviour (SED), light physical activity, and moderate-to-vigorous physical activity (MVPA)) is associated with health in adults. Five electronic databases were searched in August 2019. Studies were eligible for inclusion if they were peer-reviewed, examined community-dwelling adults, and used compositional data analysis to examine the associations between the composition of time spent in movement behaviours and health outcomes. Eight studies (7 cross-sectional, 1 prospective cohort) of >12 000 unique participants were included. Findings indicated that the 24-h movement behaviour composition was associated with all-cause mortality (1 of 1 analyses), adiposity (4 of 4 analyses), and cardiometabolic biomarkers (8 of 15 analyses). Reallocating time into MVPA from other movement behaviours was associated with favourable changes to most health outcomes and taking time out of SED and reallocating it into other movement behaviours was associated with favourable changes to all-cause mortality. The quality of evidence was very low for all health outcomes. In conclusion, these findings support the notion that the composition of movement across the entire 24-h day matters, and that recommendations for sleep, SED, and physical activity should be combined into a single public health guideline. (PROSPERO registration no.: CRD42019121641.) Novelty The 24-h movement behaviour composition is associated with a variety of health outcomes. Reallocating time into MVPA is favourably associated with health. Reallocating time out of SED is associated with favourable changes to mortality risk.
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Affiliation(s)
- Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.,Department of Public Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Anna E Clarke
- Department of Public Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Valerie Carson
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB T6G 2H9, Canada
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Lora M Giangregorio
- Department of Kinesiology and Schlegel-UW Research Institute for Aging, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Michelle E Kho
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON L8S 1C7, Canada
| | | | - Robert Ross
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Travis J Saunders
- Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada
| | | | - Sebastien F M Chastin
- School of Health and Life Science, Glasgow Caledonia University, Glasgow, G4 0BA, Scotland.,Department of Movement and Sport Sciences, Ghent University, Belgium, Ghent
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14
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Gupta N, Rasmussen CL, Holtermann A, Mathiassen SE. Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA). Ann Work Expo Health 2021; 64:778-785. [PMID: 32607544 PMCID: PMC7544002 DOI: 10.1093/annweh/wxaa056] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 05/04/2020] [Accepted: 05/19/2020] [Indexed: 12/24/2022] Open
Abstract
Data on the use of time in different exposures, behaviors, and work tasks are common in occupational research. Such data are most often expressed in hours, minutes, or percentage of work time. Thus, they are constrained or ‘compositional’, in that they add up to a finite sum (e.g. 8 h of work or 100% work time). Due to their properties, compositional data need to be processed and analyzed using specifically adapted methods. Compositional data analysis (CoDA) has become a particularly established framework to handle such data in various scientific fields such as nutritional epidemiology, geology, and chemistry, but has only recently gained attention in public and occupational health sciences. In this paper, we introduce the reader to CoDA by explaining why CoDA should be used when dealing with compositional time-use data, showing how to perform CoDA, including a worked example, and pointing at some remaining challenges in CoDA. The paper concludes by emphasizing that CoDA in occupational research is still in its infancy, and stresses the need for further development and experience in the use of CoDA for time-based occupational exposures. We hope that the paper will encourage researchers to adopt and apply CoDA in studies of work exposures and health.
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Affiliation(s)
- Nidhi Gupta
- National Research Centre for the Working Environment, Department of Musculoskeletal Disorders and Physical Work Demands, Copenhagen Ø, Denmark
| | - Charlotte Lund Rasmussen
- National Research Centre for the Working Environment, Department of Musculoskeletal Disorders and Physical Work Demands, Copenhagen Ø, Denmark.,Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Department of Musculoskeletal Disorders and Physical Work Demands, Copenhagen Ø, Denmark.,Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Svend Erik Mathiassen
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, Gävle, Sweden
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15
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Hallman DM, Gupta N, Bergamin Januario L, Holtermann A. Work-Time Compositions of Physical Behaviors and Trajectories of Sick Leave Due to Musculoskeletal Pain. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041508. [PMID: 33562531 PMCID: PMC7915038 DOI: 10.3390/ijerph18041508] [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: 11/30/2020] [Revised: 01/26/2021] [Accepted: 02/02/2021] [Indexed: 12/24/2022]
Abstract
We aimed to investigate the association between work-time compositions of physical behavior and sick leave trajectories due to musculoskeletal pain over one year. We conducted a secondary analysis using the data of 981 workers in a Danish prospective cohort (DPHACTO 2012–2014). At baseline, we assessed physical behaviors (sitting, standing, light physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA)) at work and during leisure, using accelerometers. Over 1 year follow-up, workers reported sick-leave days due to musculoskeletal pain at 4-week intervals. Four distinct trajectories of sick leave were previously identified in this cohort (“no sick leave”, “few days—increasing trajectory”, “some days—decreasing trajectory”, “some days—increasing trajectory”), and used as an outcome in multinomial regression models with work-time compositions as predictors, adjusted for compositions of behavior during leisure, age, sex, body mass index, and smoking habits. More time spent sitting relative to the other behaviors was negatively associated with the trajectory of few days—increasing sick leave (p = 0.004), while time in LIPA was positively associated with the trajectory of some days—increasing sick leave (p = 0.009). Standing and MVPA were not significantly associated with sick leave trajectories. In conclusion, work-time compositions with more sitting relative to the other behaviors had lower risk for an increasing trajectory of sick leave due to pain, while compositions with more LIPA had higher risk. This may have implications for prevention of pain-related sick leave in blue-collar workers.
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Affiliation(s)
- David M. Hallman
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, 801 76 Gävle, Sweden;
- Correspondence: ; Tel.: +46-736266413
| | - Nidhi Gupta
- National Research Centre for the Working Environment, 2100 Copenhagen, Denmark; (N.G.); (A.H.)
| | - Leticia Bergamin Januario
- Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, 801 76 Gävle, Sweden;
| | - Andreas Holtermann
- National Research Centre for the Working Environment, 2100 Copenhagen, Denmark; (N.G.); (A.H.)
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16
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Stevens ML, Gupta N, Inan Eroglu E, Crowley PJ, Eroglu B, Bauman A, Granat M, Straker L, Palm P, Stenholm S, Aadahl M, Mork P, Chastin S, Rangul V, Hamer M, Koster A, Holtermann A, Stamatakis E. Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement. BMJ Open Sport Exerc Med 2020; 6:e000874. [PMID: 33408875 PMCID: PMC7768971 DOI: 10.1136/bmjsem-2020-000874] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2020] [Indexed: 01/19/2023] Open
Abstract
Introduction The Prospective Physical Activity Sitting and Sleep consortium (ProPASS) is an international collaboration platform committed to harmonise thigh-worn accelerometry data. The aim of this paper is to (1) outline observational thigh-worn accelerometry studies and (2) summarise key strategic directions arising from the inaugural ProPASS meeting. Methods (1) We performed a systematic scoping review for observational studies of thigh-worn triaxial accelerometers in free-living adults (n≥100, 24 hours monitoring protocols). (2)Attendees of the inaugural ProPASS meeting were sent a survey focused on areas related to developing ProPASS: important terminology (Q1); accelerometry constructs (Q2); advantages and distinct contribution of the consortium (Q3); data pooling and harmonisation (Q4); data access and sharing (Q5 and Q6). Results (1) Eighty eligible articles were identified (22 primary studies; n~17 685). The accelerometers used most often were the ActivPAL3 and ActiGraph GT3X. The most commonly collected health outcomes were cardiometabolic and musculoskeletal. (2) None of the survey questions elicited the predefined 60% agreement. Survey responses recommended that ProPASS: use the term physical behaviour or movement behaviour rather than 'physical activity' for the data we are collecting (Q1); make only minor changes to ProPASS's accelerometry construct (Q2); prioritise developing standardised protocols/tools (Q4); facilitate flexible methods of data sharing and access (Q5 and Q6). Conclusions Thigh-worn accelerometry is an emerging method of capturing movement and posture across the 24 hours cycle. In 2020, the literature is limited to 22 primary studies from high-income western countries. This work identified ProPASS's strategic directions-indicating areas where ProPASS can most benefit the field of research: use of clear terminology, refinement of the measured construct, standardised protocols/tools and flexible data sharing.
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Affiliation(s)
- Matthew L Stevens
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Nidhi Gupta
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Elif Inan Eroglu
- Boden Collaboration for Obesity, Nutrition, Exercise & Eating Disorders, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Patrick Joseph Crowley
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Barbaros Eroglu
- School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Adrian Bauman
- School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Malcolm Granat
- School of Health and Society, University of Salford, Salford, UK.,PAL Technologies, Glasgow, UK
| | - Leon Straker
- School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia
| | - Peter Palm
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
| | - Mette Aadahl
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Paul Mork
- Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sebastien Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sport Sciences, Ghent University, Gent, Belgium
| | - Vegar Rangul
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology, Levanger, Norway
| | - Mark Hamer
- Institute Sport Exercise & Health, Faculty of Medical Sciences, University College London, London, UK
| | - Annemarie Koster
- Department of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Andreas Holtermann
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Emmanuel Stamatakis
- School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
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17
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Oftedal S, Aguiar EJ, Duncan MJ. Associations between multiple positive health behaviors and cardiometabolic risk using 3 alternative measures of physical activity: NHANES 2005-2006. Appl Physiol Nutr Metab 2020; 46:617-625. [PMID: 33301364 DOI: 10.1139/apnm-2020-0588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The study aimed to investigate the association between clustered cardiometabolic risk (CCMR) and health-behavior indices comprising 3 different measures of physical activity, screen time, diet and sleep in NHANES 2005-2006. CCMR was calculated by standardizing and summarizing measures of blood pressure, fasting glucose, triglycerides, insulin, high-density lipoprotein and waist circumference to create a z score. Three health behavior indices were constructed with a single point allocated to each of the following lower risk behaviors: muscle strengthening activity, healthy eating score, sleep disorder/disruption, sleep duration, screen time and physical activity (self-reported moderate-to-vigorous physical activity [MVPA] (Index Score-SR), accelerometer-measured MVPA (Index Score-MVPA) or accelerometer-measured steps Index Score-Steps). Linear regression models explored associations between index scores and CCMR. In the sample (n = 1537, 52% male, aged 45.5 [SE: 0.9] years), reporting 0-5 vs. 6 health behaviors using Index Score-SR and Index Score-MVPA, and 0-4 vs. 6 health behaviors using Index Score-Steps, were associated with a significantly higher CCMR. The beta (β [95% CI]) for zero vs. 6 behaviors were Index Score-SR (2.86 [2.02, 3.69], Index Score-MVPA (2.41 [1.49, 3.33] and Index Score-Steps (2.41 [1.68, 3.15]). Irrespective of the measure of physical activity, engaging in fewer positive health behaviors was associated with greater CCMR. Novelty: Physical activity, screen time, diet and sleep may exert synergistic/cumulative effects on clustered cardiometabolic risk. A greater number of positive health behaviors was associated with a lower clustered cardiometabolic risk factor score. The reduction in cardiometabolic risk was similar irrespective of which physical activity measure was used.
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Affiliation(s)
- Stina Oftedal
- School of Medicine & Public Health, Faculty of Health and Medicine and Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan NSW 2308, Australia
| | - Elroy J Aguiar
- Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Mitch J Duncan
- School of Medicine & Public Health, Faculty of Health and Medicine and Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan NSW 2308, Australia
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18
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Rollo S, Antsygina O, Tremblay MS. The whole day matters: Understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan. JOURNAL OF SPORT AND HEALTH SCIENCE 2020; 9:493-510. [PMID: 32711156 PMCID: PMC7749249 DOI: 10.1016/j.jshs.2020.07.004] [Citation(s) in RCA: 223] [Impact Index Per Article: 55.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 05/21/2020] [Accepted: 06/22/2020] [Indexed: 05/07/2023]
Abstract
BACKGROUND New research suggests that the composition (mix) of movement behaviors within a 24-h period may have important implications for health across the lifespan. Consistent with this integrated movement behavior paradigm, a number of countries across the world have developed and released 24-h movement guidelines for specific age groups. The purpose of this systematic review was to examine the associations between the 24-h time-use composition of movement behaviors, or adherence to 24-h movement guidelines, and multiple health indicators across the lifespan. METHODS Five online databases (PsycINFO, PubMed, SPORTDiscus, Web of Science, and Ovid MEDLINE) were searched for relevant peer-reviewed studies published between January 2015 and January 2020 that met the a priori inclusion criteria, with no study design limits. The methodological quality of research evidence for each individual study and for each health indicator was assessed by using a modified version of the Downs and Black checklist. RESULTS A total of 51 studies from 20 different countries met the inclusion criteria. A total of 31 studies examined adherence (meeting vs. not meeting) to 24-h movement guidelines, and 20 studies used compositional analyses to explore the 24-h time-use composition of movement behaviors. Findings indicated that meeting the 24-h movement guidelines were (1) not associated with adiposity among toddlers, (2) favorably associated with health-related quality of life, social-cognitive development, and behavioral and emotional problems among preschoolers, (3) favorably associated with global cognition, health-related quality of life, and healthy dietary patterns in children, and (4) favorably associated with adiposity, fitness, and cardiometabolic, mental, social, and emotional health among children and youth. Significant associations were also found between the composition of 24-h movement behaviors and indicators of (1) adiposity and bone and skeletal health among preschoolers, (2) health-related quality of life among children, (3) adiposity, fitness, and cardiometabolic, social, and emotional health among children and youth, (4) cardiometabolic health in adults, (5) adiposity and fitness among adults and older adults, and (6) mental health and risk of mortality among older adults. The quality of the available evidence ranged from poor to good. CONCLUSION The current evidence indicates that the composition of movement behaviors within a 24-h period may have important implications for health at all ages and that meeting the current 24-h movement guidelines is associated with a number of desirable health indicators in children and youth. Future studies should employ longitudinal and experimental designs, include valid and reliable measures of 24-h movement behaviors, and examine a wide array of health indicators across all age groups. Such studies would confirm the results from the primarily cross-sectional evidence drawn from studies included in our review and further advance our understanding of the relationships between 24-h movement behaviors and health.
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Affiliation(s)
- Scott Rollo
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada; Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON, K1H 8M5, Canada.
| | - Olga Antsygina
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada; Department of Health Sciences, Carleton University, Ottawa, ON, K1S 5B6, Canada
| | - Mark S Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada; Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON, K1H 8M5, Canada; Department of Health Sciences, Carleton University, Ottawa, ON, K1S 5B6, Canada
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19
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Chappel SE, Aisbett B, Considine J, Ridgers ND. Bidirectional associations between emergency nurses' occupational and leisure physical activity: An observational study. J Sports Sci 2020; 39:705-713. [PMID: 33140995 DOI: 10.1080/02640414.2020.1841921] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Emergency nursing is a physically demanding occupation yet research suggests they do not meet current physical activity guidelines. Current interventions have had limited effectiveness increasing nurses' physical activity, possibly due to a failure to acknowledge physical activity in another domain (e.g., occupational). This study aimed to determine the bidirectional associations between emergency nurses' occupational and leisure time activity levels on work days. Data from 49 emergency nurses (44 females and five males) wearing an ActiGraph accelerometer and completing work and sleep diaries for up to four weeks were analysed. An activPAL inclinometer was simultaneously worn by 41 nurses. Time spent in different activity levels and postural positions during work and leisure time were determined. Multi-level analyses examined bidirectional associations between emergency nurses' activity levels at work and during their leisure time. Moderate- to vigorous-intensity physical activity prior to a morning shift was associated with more sedentary time and less physical activity at work. Conversely, occupational stepping time was associated with more sitting, standing and stepping time after each shift. These findings provide critical insights into how and when researchers should intervene to facilitate adequate recovery for nurses' post-shift and balance competing demands on their leisure time.
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Affiliation(s)
- Stephanie Erin Chappel
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition, Deakin University, Geelong, Australia
| | - Brad Aisbett
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition, Deakin University, Geelong, Australia
| | - Julie Considine
- School of Nursing and Midwifery and Centre for Quality and Patient Safety Research, Deakin University, Geelong, Australia.,Centre for Quality and Patient Safety Research - Eastern Health Partnership, Box Hill, Australia
| | - Nicola Diane Ridgers
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition, Deakin University, Geelong, Australia
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20
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The Relation between Domain-Specific Physical Behaviour and Cardiorespiratory Fitness: A Cross-Sectional Compositional Data Analysis on the Physical Activity Health Paradox Using Accelerometer-Assessed Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217929. [PMID: 33137943 PMCID: PMC7662405 DOI: 10.3390/ijerph17217929] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/20/2020] [Accepted: 10/26/2020] [Indexed: 12/11/2022]
Abstract
In contrast to leisure time physical activity (LTPA), occupational physical activity (OPA) does not have similar beneficial health effects. These differential health effects might be explained by dissimilar effects of LTPA and OPA on cardiorespiratory fitness (CRF). This study investigated cross-sectional associations between different physical behaviours during both work and leisure time and CRF by using a Compositional Data Analysis approach. Physical behaviours were assessed by two accelerometers among 309 workers with various manual jobs. During work time, more sedentary behaviour (SB) was associated with higher CRF when compared relatively to time spent on other work behaviours, while more SB during leisure time was associated with lower CRF when compared to other leisure time behaviours. Reallocating more time to moderate-to-vigorous physical activity (MVPA) from the other behaviours within leisure time was positively associated with CRF, which was not the case for MVPA during work. The results of our study are in line with the physical activity health paradox and we call for further study on the interaction between LTPA and OPA by implementing device-worn measures in a longitudinal design. Our results highlight the need for recommendations to take into account the different effects of OPA and LTPA on CRF.
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21
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Liangruenrom N, Dumuid D, Craike M, Biddle SJH, Pedisic Z. Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults. Int J Behav Nutr Phys Act 2020; 17:106. [PMID: 32838796 PMCID: PMC7446156 DOI: 10.1186/s12966-020-01011-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 08/10/2020] [Indexed: 12/20/2022] Open
Abstract
Background Time spent in physical activity (PA), sedentary behaviour (SB), and sleep always takes up the whole day. New public health guidelines combining recommendations for PA, SB, and sleep have been issued in several countries. Thailand was the first country to release the 24-h guidelines for adults. Currently, there is no evidence on the population prevalence of meeting 24-h movement guidelines in Thailand. This study, therefore, aimed to determine 15-year trends and associations of meeting 24-h movement guidelines among Thai adults. Method We analysed cross-sectional data from 2001, 2004, 2009, and 2015 Thai Time-Use Surveys, coded using the International Classification of Activities for Time-Use Statistics (ICATUS). All ICATUS-based activities were categorised into moderate-to-vigorous PA (MVPA), light PA (LPA), SB, and sleep based on a previously developed classification system. A total of 167,577 adult participants were included. The participants were classified according to the Thai 24-h movement guidelines into meeting or not meeting the following criteria: 1) ≥150 min/week of MVPA; 2) interrupting SB every 2 h; 3) sleeping 7–9 h per day; and 4) adhering to all three guidelines. Results In 2015, the prevalence of adults who met the MVPA, SB, sleep, and overall recommendations was 81.7, 44.6, 56.4, and 21.3%, respectively. A significant linear increase was found for the prevalence of meeting the SB recommendation, while the prevalence meeting the MVPA, sleep, and overall recommendations was lowest in 2001, peaked in 2004 or 2009, and declined in 2015. The lowest odds for meeting the 24-h guidelines were found among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level. Conclusions Despite promising trends in the prevalence of meeting PA, SB, and sleep recommendations, a majority of Thai adults still do not meet the overall 24-h movement guidelines. Further actions are needed to promote more MVPA, less SB, and adequate sleep in Thai adults, particularly among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.
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Affiliation(s)
- Nucharapon Liangruenrom
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.,Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170, Thailand
| | - Dorothea Dumuid
- Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Frome Road, Adelaide, South Australia, 5001, Australia
| | - Melinda Craike
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.,Mitchell Institute for Education and Health Policy, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia
| | - Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, Queensland, 4300, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.
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22
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Ferrari GLDM, Oliveira Werneck A, Rodrigues da Silva D, Kovalskys I, Gómez G, Rigotti A, Yadira Cortés Sanabria L, García MCY, Pareja RG, Herrera-Cuenca M, Zalcman Zimberg I, Guajardo V, Pratt M, Cofre Bolados C, Fuentes Kloss R, Rollo S, Fisberg M. Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155587. [PMID: 32756330 PMCID: PMC7432879 DOI: 10.3390/ijerph17155587] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/02/2020] [Accepted: 07/08/2020] [Indexed: 12/13/2022]
Abstract
Purpose: The aim of this study was to identify socio-demographic correlates of total and domain-specific sedentary behavior (SB). Methods: Cross-sectional findings are based on 9218 participants (15–65 years) from the Latin American Study of Nutrition and Health. Data were collected between September 2014 and February 2015. Participants reported time spent in SB across specific domains. Sex, age, ethnicity, socioeconomic (SEL), and education level were used as sociodemographic indicators. Results: Participants spent a total of 373.3 min/day engaged in total SB. Men, younger adults, other ethnicities, higher SEL and educational level presented higher total SB when compared with women, older adults, white/Caucasian, and low SEL and educational level. Men spent more time on the playing videogames (b: 32.8: 95% CI: 14.6;51.1) and riding in an automobile (40.5: 31.3; 49.8). Computer time, reading, socializing or listening to music was higher in younger participants (<30 years) compared with those ≥50 years in the total sample. Compared to the low SEL and educational level groups, middle (11.7: 5.7; 17.6) and higher (15.1: 5.3; 24.9) SEL groups as well as middle (9.8: 3.6; 15.9) and higher (16.6: 6.5; 26.8) education level groups reported more time spent reading. Conclusion: Socio-demographic characteristics are associated with SB patterns (total and specific) across Latin American countries.
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Affiliation(s)
- Gerson Luis de Moraes Ferrari
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile; (C.C.B.); (R.F.K.)
- Correspondence: ; Tel.: +56-9-5398-0556
| | - André Oliveira Werneck
- Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo 01246-904, Brazil;
| | - Danilo Rodrigues da Silva
- Department of Physical Education, Federal University of Sergipe–UFS, São Cristóvão 49100-000, Brazil;
| | - Irina Kovalskys
- Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires C1107 AAZ, Argentina; (I.K.); (V.G.)
| | - Georgina Gómez
- Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José 11501-2060, Costa Rica;
| | - Attilio Rigotti
- Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago 833-0024, Chile;
| | | | | | - Rossina G. Pareja
- Instituto de Investigación Nutricional, La Molina, Lima 15026, Peru;
| | - Marianella Herrera-Cuenca
- Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Caracas 1053, Venezuela;
| | - Ioná Zalcman Zimberg
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo 04023-062, Brazil;
| | - Viviana Guajardo
- Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires C1107 AAZ, Argentina; (I.K.); (V.G.)
| | - Michael Pratt
- Institute for Public Health, University of California San Diego, La Jolla, CA 92093-0021, USA;
| | - Cristian Cofre Bolados
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile; (C.C.B.); (R.F.K.)
| | - Rodrigo Fuentes Kloss
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile; (C.C.B.); (R.F.K.)
| | - Scott Rollo
- Healthy Active Living and Obesity (HALO) Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada;
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Mauro Fisberg
- Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo 01227-200, Brazil;
- Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo 04023-061, Brazil
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23
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Gupta N, Dencker-Larsen S, Lund Rasmussen C, McGregor D, Rasmussen CDN, Thorsen SV, Jørgensen MB, Chastin S, Holtermann A. The physical activity paradox revisited: a prospective study on compositional accelerometer data and long-term sickness absence. Int J Behav Nutr Phys Act 2020; 17:93. [PMID: 32690043 PMCID: PMC7370435 DOI: 10.1186/s12966-020-00988-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 06/22/2020] [Indexed: 12/24/2022] Open
Abstract
Background The ‘physical activity paradox’ advocates that leisure physical activity (PA) promotes health while high occupational PA impairs health. However, this paradox can be explained by methodological limitations of the previous studies—self-reported PA measures, insufficient adjustment for socioeconomic confounding or not addressing the compositional nature of PA. Therefore, this study investigated if we still observe the PA paradox in relation to long-term sick absence (LTSA) after adjusting for the abovementioned limitations. Methods Time spent on moderate-to-vigorous physical activity (MVPA) and remaining physical behaviors (sedentary behavior, standing, light PA and time in bed) at work and in leisure was measured for 929 workers using thigh accelerometry and expressed as isometric log-ratios (ilrs). LTSA was register-based first event of ≥6 consecutive weeks of sickness absence during 4-year follow-up. The association between ilrs and LTSA was analyzed using a Cox proportional hazards model adjusted for remaining physical behaviors and potential confounders, then separately adjusting for and stratifying by education and type of work. Results During the follow-up, 21% of the workers experienced LTSA. In leisure, more relative MVPA time was negatively associated with LTSA (20% lower risk with 20 min more MVPA, p = 0.02). At work, more relative MVPA time was positively associated with LTSA (15% higher risk with 20 min more MVPA, p = 0.02). Results remained unchanged when further adjusted for or stratified by education and type of work. Conclusion These findings provide further support to the ‘PA paradox’.
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Affiliation(s)
- Nidhi Gupta
- National Research Centre for the Working Environment, Lersø Parkalle 105, DK-2100, Copenhagen Ø, Denmark.
| | - Sofie Dencker-Larsen
- National Research Centre for the Working Environment, Lersø Parkalle 105, DK-2100, Copenhagen Ø, Denmark.,Business Information & Analytics, Copenhagen Business School, Solbjerg Plads 3, DK-2000, Frederiksberg, Denmark
| | - Charlotte Lund Rasmussen
- National Research Centre for the Working Environment, Lersø Parkalle 105, DK-2100, Copenhagen Ø, Denmark.,Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Duncan McGregor
- School of Health and Life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland.,Biomathematics and Statistics Scotland, JCMB, The King's Buildings, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, Scotland, UK
| | | | - Sannie Vester Thorsen
- National Research Centre for the Working Environment, Lersø Parkalle 105, DK-2100, Copenhagen Ø, Denmark
| | - Marie Birk Jørgensen
- Occupational Health and Safety, Department of Ergonomic and Technical Counselling, Municipality of Copenhagen, Copenhagen, Denmark
| | - Sebastien Chastin
- School of Health and Life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland.,Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Lersø Parkalle 105, DK-2100, Copenhagen Ø, Denmark.,Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
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24
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Øverås CK, Villumsen M, Axén I, Cabrita M, Leboeuf-Yde C, Hartvigsen J, Mork PJ. Association between objectively measured physical behaviour and neck- and/or low back pain: A systematic review. Eur J Pain 2020; 24:1007-1022. [PMID: 32096285 DOI: 10.1002/ejp.1551] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 01/07/2020] [Accepted: 02/23/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND OBJECTIVE Clinical guidelines recommend physical activity to manage neck pain (NP) and low back pain (LBP). However, studies used to support these guidelines are based on self-reports of physical behaviour, which are prone to bias and misclassification. This systematic review aimed to investigate associations between objectively measured physical behaviour and the risk or prognosis of NP and/or LBP. DATABASES AND DATA TREATMENT Literature searches were performed in MEDLINE, Embase and Scopus from their inception until 18 January 2019. We considered prospective cohort studies for eligibility. Article selection, data extraction and critical appraisal were carried out by independent reviewers. Results were stratified on activity/sedentariness. RESULTS Ten articles out of 897 unique records identified met the inclusion criteria, of which eight studied working populations with mainly blue-collar workers. The overall results indicate that increased sitting time at work reduces the risk of NP and LBP while increased physical activity during work and/or leisure increases the risk of these conditions among blue-collar workers; however, associations were weak. Physical activity was not associated with prognosis of LBP (no studies investigated prognosis of NP). Most of the included articles have methodological shortcomings. CONCLUSIONS This review indicates that, among blue-collar workers, increased sitting at work may protect against NP and LBP while increased physical activity during work and/or leisure may increase this risk. There was no evidence supporting physical activity as a prognostic factor for LBP. Findings should be interpreted with caution due to the weak associations and few available studies with methodological shortcomings. SIGNIFICANCE Based on prospective cohort studies with objectively measured physical behaviour, this review questions the common notion that increased physical activity is associated with reduced risk or better prognosis of NP and/or LBP. We found that, among blue-collar workers, increased sitting time at work reduces the risk of NP and LBP, whereas physical activity somewhat increases the risk. Despite methodological shortcomings, there was consistency in the direction of the results, although high-quality articles reported the weakest associations. Systematic review registration: PROSPERO CRD42018100765.
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Affiliation(s)
- Cecilie K Øverås
- Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Morten Villumsen
- Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Iben Axén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Miriam Cabrita
- Roessingh Research and Development, eHealth Group, Enschede, The Netherlands.,Biomedical Signals and Systems group, University of Twente, Enschede, The Netherlands
| | - Charlotte Leboeuf-Yde
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Jan Hartvigsen
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.,Nordic Institute of Chiropractic and Clinical Biomechanics, Odense, Denmark
| | - Paul J Mork
- Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
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25
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Liangruenrom N, Craike M, Dumuid D, Biddle SJH, Tudor-Locke C, Ainsworth B, Jalayondeja C, van Tienoven TP, Lachapelle U, Weenas D, Berrigan D, Olds T, Pedisic Z. Standardised criteria for classifying the International Classification of Activities for Time-use Statistics (ICATUS) activity groups into sleep, sedentary behaviour, and physical activity. Int J Behav Nutr Phys Act 2019; 16:106. [PMID: 31727080 PMCID: PMC6857154 DOI: 10.1186/s12966-019-0875-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 11/04/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria for classifying ICATUS activities into sleep, sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), based on expert assessment. METHOD We classified activities from the Trial ICATUS 2005 and final ICATUS 2016. One author assigned METs and codes for wakefulness status and posture, to all subclass activities in the Trial ICATUS 2005. Once coded, one author matched the most detailed level of activities from the ICATUS 2016 with the corresponding activities in the Trial ICATUS 2005, where applicable. The assessment and harmonisation of each ICATUS activity were reviewed independently and anonymously by four experts, as part of a Delphi process. Given a large number of ICATUS activities, four separate Delphi panels were formed for this purpose. A series of Delphi survey rounds were repeated until a consensus among all experts was reached. RESULTS Consensus about harmonisation and classification of ICATUS activities was reached by the third round of the Delphi survey in all four panels. A total of 542 activities were classified into sleep, SB, LPA, and MVPA categories. Of these, 390 activities were from the Trial ICATUS 2005 and 152 activities were from the final ICATUS 2016. The majority of ICATUS 2016 activities were harmonised into the ICATUS activity groups (n = 143). CONCLUSIONS Based on expert consensus, we developed a classification system that enables ICATUS-based time-use data to be classified into sleep, SB, LPA, and MVPA categories. Adoption and consistent use of this classification system will facilitate standardisation of time-use data processing for the purpose of sleep, SB and physical activity research, and improve between-study comparability. Future studies should test the applicability of the classification system by applying it to empirical data.
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Affiliation(s)
- Nucharapon Liangruenrom
- Institute for Health and Sport, Victoria University, Melbourne, Australia.,Institute for Population and Social Research, Mahidol University, Nakhon Pathom, Thailand
| | - Melinda Craike
- Institute for Health and Sport, Victoria University, Melbourne, Australia.,Mitchell Institute, Victoria University, Melbourne, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia
| | - Stuart J H Biddle
- Institute for Resilient Regions, University of Southern Queensland, Springfield, Australia
| | - Catrine Tudor-Locke
- College of Health and Human Services, University of North Carolina at Charlotte, NC, USA
| | - Barbara Ainsworth
- Department of Kinesiology, Shanghai University of Sport, Shanghai, Shanghai, People's Republic of China.,College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | | | - Theun Pieter van Tienoven
- Research Group TOR, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.,Social Policy Research Centre, University of New South Wales, Sydney, Australia
| | - Ugo Lachapelle
- Department of Urban Studies and Tourism, Universite du Quebec a Montreal, Montreal, Canada
| | - Djiwo Weenas
- Research Group TOR, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.,Research Group Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - David Berrigan
- Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, Melbourne, Australia.
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26
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Biddle GJH, Edwardson CL, Henson J, Rowlands AV, Yates T. Reply to Mekary, R.A.; Ding, E.L. Isotemporal Substitution as the Gold Standard Model for Physical Activity Epidemiology: Why It Is the Most Appropriate for Activity Time Research. Int. J. Environ. Res. Public Health 2019, 16, 797. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16162885. [PMID: 31409046 PMCID: PMC6721164 DOI: 10.3390/ijerph16162885] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 07/29/2019] [Indexed: 11/16/2022]
Affiliation(s)
- Gregory J H Biddle
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK.
- Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
| | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Joseph Henson
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Alex V Rowlands
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
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