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Hopkins J, McVeigh JA, Hill KD, Burton E. Physical Activity Levels and Sedentary Behavior of People Living With Mild Cognitive Impairment: A Cross-Sectional Study Using Thigh-Worn Accelerometers. J Aging Phys Act 2024; 32:520-530. [PMID: 38684211 DOI: 10.1123/japa.2023-0176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 11/29/2023] [Accepted: 02/17/2024] [Indexed: 05/02/2024]
Abstract
Community-dwelling people with Mild Cognitive Impairment self-reporting not to be meeting recommended physical activity levels participated in this study to (a) determine compliance of wearing (thigh-worn) accelerometers, (b) describe physical activity levels and sedentary behavior, and (c) determine the validity of the Physical Activity Scale for the Elderly (PASE) compared with activPAL accelerometers. A total of 79 people had valid accelerometer data (median [interquartile range]: age, 71 [54-75] years). Compliance was 86.81%. Participants were sedentary for 10.6 hr per day and engaged in a median of 9 min per day of moderate-intensity physical activity. Fair correlations were found between the PASE and total stepping time per day (r = .35, p < .01), total number of steps per day (r = .36, p < .01), and number of steps in stepping activities completed for ≤1 min (r = .42, p < .01). The PASE and Standing time (r = .04, p = .724) and PASE and Sitting time (r = .04, p = .699) had little to no relationship. The use of thigh-worn accelerometers for this population is achievable. People with Mild Cognitive Impairment have high levels of sedentary behavior and minimal engagement in moderate-intensity physical activity. The PASE has fair, positive criterion validity with activity-based outcomes measured by activPAL accelerometers but not with sedentary behavior, which is high for this population.
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Affiliation(s)
- Jane Hopkins
- Curtin School of Allied Health, Curtin University, Perth, WA, Australia
| | - Joanne A McVeigh
- Curtin School of Allied Health, Curtin University, Perth, WA, Australia
- Movement Physiology Laboratory, School of Physiology, University of Witwatersrand, Johannesburg, South Africa
- enAble Institute, Curtin University, Perth, WA, Australia
| | - Keith D Hill
- Rehabilitation, Ageing and Independent Living (RAIL) Research Center, Monash University, Frankston, VIC, Australia
- National Center for Healthy Ageing, Monash University and Peninsula Health, Frankston, VIC, Australia
| | - Elissa Burton
- Curtin School of Allied Health, Curtin University, Perth, WA, Australia
- enAble Institute, Curtin University, Perth, WA, Australia
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Blodgett JM, Bann D, Chastin SFM, Ahmadi M, Stamatakis E, Cooper R, Hamer M. Socioeconomic gradients in 24-hour movement patterns across weekends and weekdays in a working-age sample: evidence from the 1970 British Cohort Study. J Epidemiol Community Health 2024; 78:515-521. [PMID: 38744444 PMCID: PMC11287567 DOI: 10.1136/jech-2023-221726] [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: 11/22/2023] [Accepted: 05/02/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Socioeconomic differences in movement behaviours may contribute to health inequalities. The aim of this descriptive study was to investigate socioeconomic patterns in device-measured 24-hour movement and assess whether patterns differ between weekdays and weekends. METHODS 4894 individuals aged 46 years from the 1970 British Cohort Study were included. Participants wore thigh-worn accelerometers for 7 days. Movement behaviours were classified in two 24-hour compositions based on intensity and posture, respectively: (1) sleep, sedentary behaviour, light-intensity activity and moderate-vigorous activity; and (2) sleep, lying, sitting, standing, light movement, walking and combined exercise-like activity. Four socioeconomic measures were explored: education, occupation, income and deprivation index. Movement behaviours were considered compositional means on a 24-hour scale; isometric log ratios expressed per cent differences in daily time in each activity compared with the sample mean. RESULTS Associations were consistent across all socioeconomic measures. For example, those with a degree spent more time in exercise-like activities across weekdays (10.8%, 95% CI 7.3 to 14.7; ref: sample mean) and weekends (21.9%, 95% CI 17.2 to 26.9). Other patterns differed markedly by the day of the week. Those with no formal qualifications spent more time standing (5.1%, 95% CI 2.3 to 7.1), moving (10.8%, 95% CI 8.6 to 13.1) and walking(4.0%, 95% CI 2.2 to 6.1) during weekdays, with no differences on weekends. Conversely, those with no formal qualifications spent less time sitting during weekdays (-6.6%, 95% CI -7.8 to -4.8), yet more time lying on both weekends (8.8%, 95% CI 4.9 to 12.2) and weekdays (7.5%, 95% CI 4.0 to 11.5). CONCLUSIONS There were strong socioeconomic gradients in 24-hour movement behaviours, with notable differences between weekdays/weekends and behaviour type/posture. These findings emphasise the need to consider socioeconomic position, behaviour type/posture and the day of the week when researching or designing interventions targeting working-age adults.
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Affiliation(s)
- Joanna M Blodgett
- Institute of Sport, Exercise and Health, UCL, London, UK
- NIHR University College London Hospitals Biomedical Research Centre, London, England, UK
| | - David Bann
- Centre for Longitudinal Studies, Social Research Institute, UCL, London, UK
| | | | - Matthew Ahmadi
- Mackenzie Wearables Research Hub, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Emmanuel Stamatakis
- Mackenzie Wearables Research Hub, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Rachel Cooper
- AGE Research Group, Newcastle University, Newcastle upon Tyne, UK
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - Mark Hamer
- Institute of Sport, Exercise and Health, UCL, London, UK
- NIHR University College London Hospitals Biomedical Research Centre, London, England, UK
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Granat MH, Ahmadi MN, Stamatakis E, Hamer M. The Effect of Using Anchored Wake Time to Derive 24-h Device Measured Circadian Physical Behavior Patterns. Scand J Med Sci Sports 2024; 34:e14684. [PMID: 38926910 DOI: 10.1111/sms.14684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/08/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024]
Abstract
INTRODUCTION Tailoring physical activity interventions to individual chronotypes and preferences by time of day could promote more effective and sustainable behavior change; however, our understanding of circadian physical behavior patterns is very limited. OBJECTIVE To characterize and compare 24-h physical behavior patterns expressed relative to clock time (the standard measurement of time-based on a 24-h day) versus wake-up time in a large British cohort age 46. METHODS Data were analyzed from 4979 participants in the age 46 sweep of the 1970 British Cohort Study who had valid activPAL accelerometer data across ≥4 days. Average steps and upright time (time standing plus time stepping) per 30-min interval were determined for weekdays and weekends, both in clock time and synchronized to individual wake-up times. RESULTS The mean weekday steps were 9588, and the mean weekend steps were 9354. The mean weekday upright time was 6.6 h, and the mean weekend upright time was 6.4 h. When synchronized to wake-up time, steps peaked 1 h after waking on weekdays and 2.5 h after waking on weekends. Upright time peaked immediately, in the first 30-min window, after waking on both weekdays and weekends. CONCLUSIONS Aligning accelerometer data to wake-up times revealed distinct peaks in stepping and upright times shortly after waking. Activity built up more gradually across clock time in the mornings, especially on weekends. Synchronizing against wake-up times highlighted the importance of circadian rhythms and personal schedules in understanding population 24-h physical behavior patterns, and this may have important implications for promoting more effective and sustainable behavior change.
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Affiliation(s)
- Malcolm H Granat
- School of Health and Society, University of Salford, Salford, UK
| | - Matthew N Ahmadi
- Faculty of Medicine and Health, Charles Perkins Centre, School of Health Sciences, University of Sydney, Sydney, New South Wales, Australia
- Mackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Emmanuel Stamatakis
- Faculty of Medicine and Health, Charles Perkins Centre, School of Health Sciences, University of Sydney, Sydney, New South Wales, Australia
- Mackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Mark Hamer
- Division of Surgery & Interventional Science, Faculty of Medical Sciences, Institute Sport Exercise & Health, University College London, London, UK
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Biddle GJH, Thomas N, Edwardson CL, Clemes SA, Daley AJ. Feasibility and acceptability of general practitioners using sit-stand desks: a feasibility trial. BMJ Open 2024; 14:e084085. [PMID: 38910005 PMCID: PMC11328620 DOI: 10.1136/bmjopen-2024-084085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/25/2024] Open
Abstract
OBJECTIVES The primary aim of this study was to investigate the feasibility and acceptability of general practitioners (GPs) using sit-stand desks to facilitate standing during consultations. A further aim was to examine the views of patients about GPs standing for their consultations. DESIGN A pre-post single-group experimental trial design. SETTING General practices in England, UK. PARTICIPANTS 42 GPs (working a minimum of five clinical sessions per week) and 301 patients (aged ≥18 years). INTERVENTIONS The intervention consisted of each GP having a sit-stand desk (Opløft Sit-Stand Platform) installed in their consultation room for 4 working weeks. Sit-stand desks allow users to switch, in a few seconds, between a sitting and standing position and vice versa, by adjusting the height of the desk. MAIN OUTCOME MEASURES To test feasibility and acceptability, GPs reported their views about using sit-stand desks at work at baseline and follow-up. Sitting time and physical activity were also measured via accelerometer at baseline and follow-up. Patients who attended a consultation where their GP was standing were asked to complete an exit questionnaire about the perceived impact on the consultation. RESULTS Most GPs reported using their sit-stand desk daily (n=28, 75.7%). 16 GPs (44.4%) used their sit-stand desk during face-to-face consultations every day. Most GPs and patients did not view that GPs standing during face-to-face consultations impacted the doctor-patient relationship (GPs; 73.5%, patients; 83.7%). GPs' sitting time during work was 121 min per day lower (95% CI: -165 to -77.58) at follow-up compared with baseline. CONCLUSIONS Use of sit-stand desks is acceptable within general practice and may reduce sitting time in GPs. This may benefit GPs and help reduce sitting time in patients. TRIAL REGISTRATION NUMBER ISRCTN76982860.
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Affiliation(s)
- Gregory James Hamilton Biddle
- Diabetes Research Centre, University of Leicester, Loughborough, UK
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | | | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Loughborough, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Stacy A Clemes
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Amanda J Daley
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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Ahmadi MN, Blodgett JM, Atkin AJ, Chan HW, Del Pozo Cruz B, Suorsa K, Bakker EA, Pulsford RM, Mielke GI, Johansson PJ, Hettiarachchi P, Thijssen DHJ, Stenholm S, Mishra GD, Teixeira-Pinot A, Rangul V, Sherar LB, Ekelund U, Hughes AD, Lee IM, Holtermann A, Koster A, Hamer M, Stamatakis E. Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose-response associations from the Prospective Physical Activity, Sitting and Sleep Consortium. Diabetologia 2024; 67:1051-1065. [PMID: 38478050 PMCID: PMC11058050 DOI: 10.1007/s00125-024-06090-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 12/04/2023] [Indexed: 04/30/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to examine the dose-response associations of device-measured physical activity types and postures (sitting and standing time) with cardiometabolic health. METHODS We conducted an individual participant harmonised meta-analysis of 12,095 adults (mean ± SD age 54.5±9.6 years; female participants 54.8%) from six cohorts with thigh-worn accelerometry data from the Prospective Physical Activity, Sitting and Sleep (ProPASS) Consortium. Associations of daily walking, stair climbing, running, standing and sitting time with a composite cardiometabolic health score (based on standardised z scores) and individual cardiometabolic markers (BMI, waist circumference, triglycerides, HDL-cholesterol, HbA1c and total cholesterol) were examined cross-sectionally using generalised linear modelling and cubic splines. RESULTS We observed more favourable composite cardiometabolic health (i.e. z score <0) with approximately 64 min/day walking (z score [95% CI] -0.14 [-0.25, -0.02]) and 5 min/day stair climbing (-0.14 [-0.24, -0.03]). We observed an equivalent magnitude of association at 2.6 h/day standing. Any amount of running was associated with better composite cardiometabolic health. We did not observe an upper limit to the magnitude of the dose-response associations for any activity type or standing. There was an inverse dose-response association between sitting time and composite cardiometabolic health that became markedly less favourable when daily durations exceeded 12.1 h/day. Associations for sitting time were no longer significant after excluding participants with prevalent CVD or medication use. The dose-response pattern was generally consistent between activity and posture types and individual cardiometabolic health markers. CONCLUSIONS/INTERPRETATION In this first activity type-specific analysis of device-based physical activity, ~64 min/day of walking and ~5.0 min/day of stair climbing were associated with a favourable cardiometabolic risk profile. The deleterious associations of sitting time were fully attenuated after exclusion of participants with prevalent CVD and medication use. Our findings on cardiometabolic health and durations of different activities of daily living and posture may guide future interventions involving lifestyle modification.
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Affiliation(s)
- Matthew N Ahmadi
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
| | - Joanna M Blodgett
- Institute of Sport, Exercise and Health, Division of Surgery and Interventional Sciences, UCL, London, UK
| | - Andrew J Atkin
- School of Health Sciences and Norwich Epidemiology Centre, University of East Anglia, Norwich, UK
| | - Hsiu-Wen Chan
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Borja Del Pozo Cruz
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, University of Cádiz, Cádiz, Spain
- Faculty of Education, University of Cádiz, Cádiz, Spain
| | - Kristin Suorsa
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Esmee A Bakker
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | | | - Gregore I Mielke
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Peter J Johansson
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Occupational and Environmental Medicine, Uppsala University Hospital, Uppsala, Sweden
| | - Pasan Hettiarachchi
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dick H J Thijssen
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Gita D Mishra
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Armando Teixeira-Pinot
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Vegar Rangul
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic Diseases, Norwegian Public Health Institute, Oslo, Norway
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, UCL, London, UK
- UCL BHF Research Accelerator, University College London, London, UK
- University College London Hospitals NIHR Biomedical Research Centre, London, UK
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Annemarie Koster
- Department of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Mark Hamer
- Institute of Sport, Exercise and Health, Division of Surgery and Interventional Sciences, UCL, London, UK
| | - Emmanuel Stamatakis
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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Culverhouse J, Hillsdon M, Pulsford R. Cross-sectional associations between temporal patterns and composition of upright and stepping events with physical function in midlife: Insights from the 1970 British Cohort Study. Scand J Med Sci Sports 2024; 34:e14645. [PMID: 38736180 DOI: 10.1111/sms.14645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 04/17/2024] [Accepted: 04/19/2024] [Indexed: 05/14/2024]
Abstract
INTRODUCTION Age-related decline in physical functioning has significant implications for health in later life but declines begin earlier in midlife. Physical activity (PA) volume is associated with physical function, but the importance of the pattern in which PA is accumulated is unclear. This study investigates associations between patterns of PA accumulation, including the composition, variation, and temporal distribution of upright and stepping events, with physical function in midlife. METHODS Participants (n = 4378) from the 1970 British Cohort Study wore an activPAL3 accelerometer on the thigh for 7 consecutive days. Exposure measures included a suite of metrics describing the frequency, duration, and composition of upright events, as well as the duration and volume (total steps) of stepping events. In addition, patterns of accumulation of upright and sedentary events were examined including how fragmented/transient they were (upright-to-sedentary transition probability [USTP]) and their burstiness (the tendency for events to be clustered together followed by longer interevent times). Physical function outcomes included grip strength (GS), balance, and SF-36 physical functioning subscale (SF-36pf). Cross-sectional analyses included multivariable linear regression models to assess associations, adjusting for covariates including overall PA volume (mean daily step count). RESULTS Higher upright event burstiness was associated with higher GS, and higher USTP was associated with lower GS. Duration and step volume of stepping events were positively associated with SF-36pf in females. Step-weighted cadence was positively associated with SF-36pf and balance. Contradictory findings were also present (e.g., more transient stepping events were associated with better GS) particularly for GS in males. Inconsistencies between sexes were observed across some associations. CONCLUSION Our study reveals that diverse patterns of PA accumulation exhibit distinct associations with various measures of physical function in midlife, irrespective of the overall volume. Contradictory findings and inconsistency between sexes warrant further investigation. Patterns of PA accumulation, in addition to volume, should be considered in future PA research. Longitudinal studies are required to determine whether a given volume of activity accumulated in different patterns, impacts associations between PA and health outcomes.
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Affiliation(s)
- Joshua Culverhouse
- Department of Public Health and Sport Sciences, University of Exeter, Exeter, UK
| | - Melvyn Hillsdon
- Department of Public Health and Sport Sciences, University of Exeter, Exeter, UK
| | - Richard Pulsford
- Department of Public Health and Sport Sciences, University of Exeter, Exeter, UK
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Lally P, Kennedy F, Smith S, Beeken RJ, Buck C, Thomas C, Counsell N, Wyld L, Martin C, Williams S, Roberts A, Greenfield DM, Gath J, Potts HWW, Latimer N, Smith L, Fisher A. The feasibility and acceptability of an app-based intervention with brief behavioural support (APPROACH) to promote brisk walking in people diagnosed with breast, prostate and colorectal cancer in the UK. Cancer Med 2024; 13:e7124. [PMID: 38529687 DOI: 10.1002/cam4.7124] [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: 10/10/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/27/2024] Open
Abstract
INTRODUCTION Increased moderate to vigorous physical activity (MVPA) can improve clinical and psychosocial outcomes for people living with and beyond cancer (LWBC). This study aimed to assess the feasibility and acceptability of trial procedures in a pilot randomised controlled trial (RCT) of a theory-driven app-based intervention with behavioural support focused on promoting brisk walking (a form of MVPA) in people LWBC (APPROACH). METHODS Participants diagnosed with breast, prostate or colorectal cancer were recruited from a single UK hospital site. Assessments at baseline and 3 months included online questionnaires, device-measured brisk walking (activPAL accelerometer) and self-reported weight and height. Participants were randomised to intervention or control (care as usual). The intervention comprised a non-cancer-specific app to promote brisk walking (National Health Service 'Active 10') augmented with print information about habit formation, a walking planner and two behavioural support telephone calls. Feasibility and acceptability of trial procedures were explored. Initial estimates for physical activity informed a power calculation for a phase III RCT. A preliminary health economics analysis was conducted. RESULTS Of those medically eligible, 369/577 (64%) were willing to answer further eligibility questions and 90/148 (61%) of those eligible were enrolled. Feasibility outcomes, including retention (97%), assessment completion rates (>86%) and app download rates in the intervention group (96%), suggest that the trial procedures are acceptable and that the intervention is feasible. The phase III RCT will require 472 participants to be randomised. As expected, the preliminary health economic analyses indicate a high level of uncertainty around the cost-effectiveness of the intervention. CONCLUSIONS This pilot study demonstrates that a large trial of the brisk walking intervention with behavioural support is both feasible and acceptable to people LWBC. The results support progression onto a confirmatory phase III trial to determine the efficacy and cost-effectiveness of the intervention.
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Affiliation(s)
- Phillippa Lally
- Department of Psychological Sciences, University of Surrey, Guildford, Surrey, UK
| | - Fiona Kennedy
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Susan Smith
- Department of Behavioural Science and Health, University College London, London, UK
| | - Rebecca J Beeken
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Caroline Buck
- Department of Behavioural Science and Health, University College London, London, UK
| | - Chloe Thomas
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Nicholas Counsell
- Cancer Research UK & Cancer Trials Centre, Cancer Institute, University College London, London, UK
| | - Lynda Wyld
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Charlene Martin
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Sarah Williams
- Department of Behavioural Science and Health, University College London, London, UK
| | - Anna Roberts
- Department of Behavioural Science and Health, University College London, London, UK
| | - Diana M Greenfield
- Sheffield Teaching Hospitals NHS FT, Weston Park Hospital, Sheffield, UK
| | - Jacqui Gath
- Independent Cancer Patients' Voice (ICPV), London, UK
| | - Henry W W Potts
- Institute of Health Informatics, University College London, London, UK
| | - Nicholas Latimer
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Lee Smith
- The Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Abi Fisher
- Department of Behavioural Science and Health, University College London, London, UK
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Culverhouse J, Hillsdon M, Pulsford R. Unravelling upright events: a descriptive epidemiology of the behavioural composition and temporal distribution of upright events in participants from the 1970 British Cohort Study. BMC Public Health 2024; 24:535. [PMID: 38378513 PMCID: PMC10880236 DOI: 10.1186/s12889-024-17976-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/04/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Continued proliferation of accelerometers in physical activity research has opened new avenues for understanding activity behaviours beyond simple aggregate measures of frequency and duration. This study explores the standing and stepping composition, and the temporal distribution, of upright events, and investigates their associations with sociodemographic and health factors. METHODS Participants from the 1970 British Cohort Study wore activPAL3 accelerometers for seven days. Event-based analysis was used to extract a time series of upright, standing, and stepping events. Derived metrics included daily number of upright and stepping events, total upright and stepping time, the burstiness of upright events and burstiness of sedentary events (burstiness refers to the pattern of how physical activity and sedentary behaviour are distributed throughout a given time period), within-event stepping proportion, within-event step count, and stepping cadence. Generalized linear regression models, adjusted for total step count, were employed to explore associations between derived metrics and sociodemographic and health-related factors. RESULTS A total of 4527 participants, provided 30992 valid days (≥ 10 h of waking wear) and 1.64 million upright events. Upright event composition and temporal distribution varied across a range of sociodemographic and health-related factors. Females had more upright events than males (4.39 [3.41,5.38] n), spent more time upright, and exhibited burstier patterns of upright events (0.05 [0.04,0.05] Bn). Individuals with higher BMI had fewer upright events and a lower daily step count, but their temporal distribution of upright events was less bursty (overweight -0.02 [-0.02,-0.01] Bn; obese -0.03 [-0.04,-0.02] Bn), and upright events had a higher step count. People in active occupations were upright for longer, displayed burstier patterns of upright events (standing 0.04 [0.03,0.05] Bn; physical work 0.05 [0.04,0.05] Bn; heavy manual 0.06 [0.04,0.07] Bn), with more variable durations and shorter, slower paced stepping events compared with sedentary occupations. CONCLUSIONS This study has revealed novel phenotypes of standing and sitting that go beyond simple aggregate measures of total steps, step event duration or time between events. People with the same volume of stepping and frequency of gaps between upright events can accumulate their steps in very different ways. These differences and associations with population sub-groups, which persisted after adjustment for total stepping volume, may have important relations with functional and health outcomes. The findings lay the groundwork for future studies to investigate how different sitting and standing phenotypes can add to our understanding of the relationship between physical activity and health.
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Affiliation(s)
- Joshua Culverhouse
- Department of Public Health and Sport Sciences, University of Exeter, Richard's Building, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
| | - Melvyn Hillsdon
- Department of Public Health and Sport Sciences, University of Exeter, Richard's Building, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
| | - Richard Pulsford
- Department of Public Health and Sport Sciences, University of Exeter, Richard's Building, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
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Blodgett JM, Ahmadi M, Stamatakis E, Rockwood K, Hamer M. Fractal complexity of daily physical activity and cognitive function in a midlife cohort. Sci Rep 2023; 13:20340. [PMID: 37990028 PMCID: PMC10663528 DOI: 10.1038/s41598-023-47200-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 11/10/2023] [Indexed: 11/23/2023] Open
Abstract
High stability of fluctuation in physiological patterns across fixed time periods suggest healthy fractal complexity, while greater randomness in fluctuation patterns may indicate underlying disease processes. The importance of fractal stability in mid-life remains unexplored. We quantified fractal regulation patterns in 24-h accelerometer data and examined associations with cognitive function in midlife. Data from 5097 individuals (aged 46) from the 1970 British Cohort Study were analyzed. Participants wore thigh-mounted accelerometers for seven days and completed cognitive tests (verbal fluency, memory, processing speed; derived composite z-score). Detrended fluctuation analysis (DFA) was used to examine temporal correlations of acceleration magnitude across 25 time scales (range: 1 min-10 h). Linear regression examined associations between DFA scaling exponents (DFAe) and each standardised cognitive outcome. DFAe was normally distributed (mean ± SD: 0.90 ± 0.06; range: 0.72-1.25). In males, a 0.10 increase in DFAe was associated with a 0.30 (95% Confidence Interval: 0.14, 0.47) increase in composite cognitive z-score in unadjusted models; associations were strongest for verbal fluency (0.10 [0.04, 0.16]). Associations remained in fully-adjusted models for verbal fluency only (0.06 [0.00, 0.12]). There was no association between DFA and cognition in females. Greater fractal stability in men was associated with better cognitive function. This could indicate mechanisms through which fractal complexity may scale up to and contribute to cognitive clinical endpoints.
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Affiliation(s)
- Joanna M Blodgett
- Institute of Sport Exercise and Health, Division of Surgery and Interventional Science, University College London, London, UK.
| | - Matthew Ahmadi
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Mackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Emmanuel Stamatakis
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Mackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Kenneth Rockwood
- Geriatric Medicine Research, Department of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Mark Hamer
- Institute of Sport Exercise and Health, Division of Surgery and Interventional Science, University College London, London, UK
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Edwardson CL, Maylor BD, Biddle SJ, Clemes SA, Cox E, Davies MJ, Dunstan DW, Eborall H, Granat MH, Gray LJ, Hadjiconstantinou M, Healy GN, Jaicim NB, Lawton S, Mandalia P, Munir F, Richardson G, Walker S, Yates T, Clarke-Cornwell AM. A multicomponent intervention to reduce daily sitting time in office workers: the SMART Work & Life three-arm cluster RCT. PUBLIC HEALTH RESEARCH 2023; 11:1-229. [PMID: 37786938 DOI: 10.3310/dnyc2141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023] Open
Abstract
Background Office workers spend 70-85% of their time at work sitting. High levels of sitting have been linked to poor physiological and psychological health. Evidence shows the need for fully powered randomised controlled trials, with long-term follow-up, to test the effectiveness of interventions to reduce sitting time. Objective Our objective was to test the clinical effectiveness and cost-effectiveness of the SMART Work & Life intervention, delivered with and without a height-adjustable workstation, compared with usual practice at 12-month follow-up. Design A three-arm cluster randomised controlled trial. Setting Councils in England. Participants Office workers. Intervention SMART Work & Life is a multicomponent intervention that includes behaviour change strategies, delivered by workplace champions. Clusters were randomised to (1) the SMART Work & Life intervention, (2) the SMART Work & Life intervention with a height-adjustable workstation (i.e. SMART Work & Life plus desk) or (3) a control group (i.e. usual practice). Outcome measures were assessed at baseline and at 3 and 12 months. Main outcome measures The primary outcome was device-assessed daily sitting time compared with usual practice at 12 months. Secondary outcomes included sitting, standing, stepping time, physical activity, adiposity, blood pressure, biochemical measures, musculoskeletal issues, psychosocial variables, work-related health, diet and sleep. Cost-effectiveness and process evaluation data were collected. Results A total of 78 clusters (756 participants) were randomised [control, 26 clusters (n = 267); SMART Work & Life only, 27 clusters (n = 249); SMART Work & Life plus desk, 25 clusters (n = 240)]. At 12 months, significant differences between groups were found in daily sitting time, with participants in the SMART Work & Life-only and SMART Work & Life plus desk arms sitting 22.2 minutes per day (97.5% confidence interval -38.8 to -5.7 minutes/day; p = 0.003) and 63.7 minutes per day (97.5% confidence interval -80.0 to -47.4 minutes/day; p < 0.001), respectively, less than the control group. Participants in the SMART Work & Life plus desk arm sat 41.7 minutes per day (95% confidence interval -56.3 to -27.0 minutes/day; p < 0.001) less than participants in the SMART Work & Life-only arm. Sitting time was largely replaced by standing time, and changes in daily behaviour were driven by changes during work hours on workdays. Behaviour changes observed at 12 months were similar to 3 months. At 12 months, small improvements were seen for stress, well-being and vigour in both intervention groups, and for pain in the lower extremity and social norms in the SMART Work & Life plus desk group. Results from the process evaluation supported these findings, with participants reporting feeling more energised, alert, focused and productive. The process evaluation also showed that participants viewed the intervention positively; however, the extent of engagement varied across clusters. The average cost of SMART Work & Life only and SMART Work & Life plus desk was £80.59 and £228.31 per participant, respectively. Within trial, SMART Work & Life only had an incremental cost-effectiveness ratio of £12,091 per quality-adjusted life-year, with SMART Work & Life plus desk being dominated. Over a lifetime, SMART Work & Life only and SMART Work & Life plus desk had incremental cost-effectiveness ratios of £4985 and £13,378 per quality-adjusted life-year, respectively. Limitations The study was carried out in one sector, limiting generalisability. Conclusions The SMART Work & Life intervention, provided with and without a height-adjustable workstation, was successful in changing sitting time. Future work There is a need for longer-term follow-up, as well as follow-up within different organisations. Trial registration Current Controlled Trials ISRCTN11618007.
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Affiliation(s)
| | | | - Stuart Jh Biddle
- Centre for Health Research, University of Southern Queensland, Springfield Central, QLD, Australia
| | - Stacy A Clemes
- NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Edward Cox
- Centre for Health Economics, University of York, York, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Helen Eborall
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Laura J Gray
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | | | | | - Sarah Lawton
- School of Health & Society, University of Salford, Salford, UK
| | - Panna Mandalia
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - Fehmidah Munir
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | | | - Simon Walker
- Centre for Health Economics, University of York, York, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
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11
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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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12
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Pernold K, Rullman E, Ulfhake B. Bouts of rest and physical activity in C57BL/6J mice. PLoS One 2023; 18:e0280416. [PMID: 37363906 DOI: 10.1371/journal.pone.0280416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 06/05/2023] [Indexed: 06/28/2023] Open
Abstract
The objective was to exploit the raw data output from a scalable home cage (type IIL IVC) monitoring (HCM) system (DVC®), to characterize pattern of undisrupted rest and physical activity (PA) of C57BL/6J mice. The system's tracking algorithm show that mice in isolation spend 67% of the time in bouts of long rest (≥40s). Sixteen percent is physical activity (PA), split between local movements (6%) and locomotion (10%). Decomposition revealed that a day contains ˜7100 discrete bouts of short and long rest, local and locomotor movements. Mice travel ˜330m per day, mainly during the dark hours, while travelling speed is similar through the light-dark cycle. Locomotor bouts are usually <0.2m and <1% are >1m. Tracking revealed also fits of abnormal behaviour. The starting positions of the bouts showed no preference for the rear over the front of the cage floor, while there was a strong bias for the peripheral (75%) over the central floor area. The composition of bouts has a characteristic circadian pattern, however, intrusive husbandry routines increased bout fragmentation by ˜40%. Extracting electrode activations density (EAD) from the raw data yielded results close to those obtained with the tracking algorithm, with 81% of time in rest (<1 EAD s-1) and 19% in PA. Periods ≥40 s of file when no movement occurs and there is no EAD may correspond to periods of sleep (˜59% of file time). We confirm that EAD correlates closely with movement distance (rs>0.95) and the data agreed in ˜97% of the file time. Thus, albeit EAD being less informative it may serve as a proxy for PA and rest, enabling monitoring group housed mice. The data show that increasing density from one female to two males, and further to three male or female mice had the same effect size on EAD (˜2). In contrast, the EAD deviated significantly from this stepwise increase with 4 mice per cage, suggesting a crowdedness stress inducing sex specific adaptations. We conclude that informative metrics on rest and PA can be automatically extracted from the raw data flow in near-real time (< 1 hrs). As discussed, these metrics relay useful longitudinal information to those that use or care for the animals.
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Affiliation(s)
- Karin Pernold
- Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eric Rullman
- Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Brun Ulfhake
- Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
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13
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Sedentary behaviour, but not moderate-to-vigorous physical activity, is associated with respiratory responses to acute psychological stress. Biol Psychol 2023; 177:108510. [PMID: 36716988 DOI: 10.1016/j.biopsycho.2023.108510] [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: 02/07/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 01/28/2023]
Abstract
BACKGROUND Acute psychological stress induces respiratory responses, and stress-induced respiratory changes can be used to non-invasively reflect metabolic regulation. Respiratory and cardiovascular responses to stress are both driven by sympathetic mechanisms. Higher volumes of sedentary behaviour and lower volumes of physical activity are associated with elevated sympathetic tone and larger cardiovascular responses to stress. The aim of this study was to test whether these associations translate to measures of respiratory stress reactivity. METHODS Daily hours of sedentary behaviour (thigh-mounted activPAL) and moderate-to-vigorous physical activity (MVPA; wrist-mounted ActiGraph) were assessed across seven days. Breath-by-breath respiratory (e.g., breathing frequency [BF], end-tidal carbon dioxide partial pressure [PetCO2], carbon dioxide output [V̇CO2] and respiratory exchange ratio [RER]) responses to an 8-min Paced Auditory Serial Addition Test were then measured using a Cortex MetaLyzer3B. RESULTS Healthy participants (N = 61, mean age ± SD = 25.7 ± 8.9 years) recorded high volumes of sedentary behaviour (9.96 ± 1.48 h/day) and MVPA (1.70 ± 0.71 h/day). In adjusted models (with the inclusion of sedentary behaviour, MVPA, and other a priori selected covariates) hours of daily sedentary behaviour were associated with baseline to stress changes in BF (Β = 0.695, 95% CI = 0.281 - 1.109, p = .014), VT (Β = -0.042, 95% CI = -0.058 - -0.026, p = .014), PetCO2 (Β = -0.537, 95% CI = -0.829 - -0.245, p = .014), V̇CO2 (Β = -0.008, 95% CI = -0.014 - -0.003, p = .030), and RER (Β = -0.013, 95% CI = -0.021 - -0.005, p = .022). Daily hours of MVPA were not linked with respiratory responses to stress. DISCUSSION Sedentary behaviour, but not MVPA, is associated with respiratory stress reactivity. Future work should untangle the underlying mechanisms of these findings and explore the consequences for cardiometabolic disease.
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14
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Blodgett JM, Mitchell JJ, Stamatakis E, Chastin S, Hamer M. Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: Compositional data analyses of the 1970 British cohort Study. J Affect Disord 2023; 320:616-620. [PMID: 36183826 DOI: 10.1016/j.jad.2022.09.110] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 08/29/2022] [Accepted: 09/20/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND The benefits of moderate to vigorous physical activity(MVPA) in lowering depression risk are well established, but there is mixed evidence on sleep, sedentary behaviour(SB), and light-intensity physical activity(LIPA). These behaviours are often considered in isolation, neglecting their behavioural and biological interdependences. We investigated how time spent in one behaviour relative to others was associated with depression risk. METHODS We included 4738 individuals from the 1970 British Cohort study (age 46 wave). Depression status was ascertained using self-reported doctor visits and prescribed anti-depressant use. MVPA, LIPA, SB and sleep were ascertained using thigh-worn accelerometers worn consecutively for 7 days. Compositional logistic regression was used to examine associations between different compositions of time spent in movement behaviours and depression. RESULTS More time spent in MVPA, relative to SB, sleep or LIPA, was associated with a lower risk of depression. When modelling reallocation of time (e.g. replacing time in one behaviour with another), replacing sleep, SB or LIPA with MVPA time was strongly associated with lower depression risk. Reallocating time between SB, sleep or LIPA had minimal to no effect. LIMITATIONS Data was cross-sectional, therefore causality cannot be inferred. Accelerometers do not capture SB context (e.g. TV watching, reading) nor separate biological sleep from time spent in bed. CONCLUSIONS Displacing any behaviour with MVPA was associated with a lower risk of depression. This study provides promising support that increasing MVPA, even in small doses, can have a positive impact on prevention, mitigation and treatment of depression.
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Affiliation(s)
- J M Blodgett
- Institute of Sport Exercise & Health, Division of Surgery & Interventional Science, University College London, 170 Tottenham Court Road, W1T 7HA London, UK.
| | - J J Mitchell
- Institute of Sport Exercise & Health, Division of Surgery & Interventional Science, University College London, 170 Tottenham Court Road, W1T 7HA London, UK
| | - E Stamatakis
- Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - S Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK; Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - M Hamer
- Institute of Sport Exercise & Health, Division of Surgery & Interventional Science, University College London, 170 Tottenham Court Road, W1T 7HA London, UK
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15
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Moore MM, Tyra AT, Young DA, Ginty AT. Cardiovascular stress reactivity, habituation, and adiposity. Psychophysiology 2022; 60:e14232. [PMID: 36523148 DOI: 10.1111/psyp.14232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 10/18/2022] [Accepted: 10/27/2022] [Indexed: 12/23/2022]
Abstract
The relationship between adiposity and cardiovascular disease morbidity and mortality is complex. One pathway through which adiposity may influence future health outcomes is by altering how biological systems respond to stress. The current study aimed to examine the association between two metrics of adiposity (body mass index and waist-hip ratio) and two indices of cardiovascular stress responses (reactivity and habituation). A sample of 455 participants (Mean age = 19.47, SD = 1.25 years; BMI = 24.32, SD = 5.04 kg/m2 ; 62% female; 17.9% Hispanic/Latino; 65.2% White, 18.7% Asian, 7.9% Black, 0.2% American Indian/Alaska Native, and 7% other) completed two acute psychosocial stress tasks. Heart rate (HR), systolic blood pressure (SBP) and diastolic blood pressure (DBP) were recorded throughout each stressor. In unadjusted and adjusted models, there were no statistically significant associations between adiposity and HR, SBP, or DBP stress reactivity or habituation. The current data do not support the hypothesis that adiposity influences health by altering cardiovascular responses to acute psychological stress. Results are at odds with prior population-level studies and the single prior study examining adiposity and habituation. At the same time, results are in line with mounting evidence that adiposity itself does not drive poor cardiovascular outcomes seen in people classified as overweight or obese.
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Affiliation(s)
- Melody M. Moore
- Department of Psychology and Neuroscience Baylor University Waco Texas USA
| | - Alexandra T. Tyra
- Department of Psychology and Neuroscience Baylor University Waco Texas USA
| | - Danielle A. Young
- Department of Psychology and Neuroscience Baylor University Waco Texas USA
| | - Annie T. Ginty
- Department of Psychology and Neuroscience Baylor University Waco Texas USA
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16
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Evenson KR, Scherer E, Peter KM, Cuthbertson CC, Eckman S. Historical development of accelerometry measures and methods for physical activity and sedentary behavior research worldwide: A scoping review of observational studies of adults. PLoS One 2022; 17:e0276890. [PMID: 36409738 PMCID: PMC9678297 DOI: 10.1371/journal.pone.0276890] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 10/15/2022] [Indexed: 11/22/2022] Open
Abstract
This scoping review identified observational studies of adults that utilized accelerometry to assess physical activity and sedentary behavior. Key elements on accelerometry data collection were abstracted to describe current practices and completeness of reporting. We searched three databases (PubMed, Web of Science, and SPORTDiscus) on June 1, 2021 for articles published up to that date. We included studies of non-institutionalized adults with an analytic sample size of at least 500. The search returned 5686 unique records. After reviewing 1027 full-text publications, we identified and abstracted accelerometry characteristics on 155 unique observational studies (154 cross-sectional/cohort studies and 1 case control study). The countries with the highest number of studies included the United States, the United Kingdom, and Japan. Fewer studies were identified from the continent of Africa. Five of these studies were distributed donor studies, where participants connected their devices to an application and voluntarily shared data with researchers. Data collection occurred between 1999 to 2019. Most studies used one accelerometer (94.2%), but 8 studies (5.2%) used 2 accelerometers and 1 study (0.6%) used 4 accelerometers. Accelerometers were more commonly worn on the hip (48.4%) as compared to the wrist (22.3%), thigh (5.4%), other locations (14.9%), or not reported (9.0%). Overall, 12.7% of the accelerometers collected raw accelerations and 44.6% were worn for 24 hours/day throughout the collection period. The review identified 155 observational studies of adults that collected accelerometry, utilizing a wide range of accelerometer data processing methods. Researchers inconsistently reported key aspects of the process from collection to analysis, which needs addressing to support accurate comparisons across studies.
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Affiliation(s)
- Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina–Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Elissa Scherer
- RTI International, Research Triangle Park, North Carolina, United States of America
| | - Kennedy M. Peter
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina–Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Carmen C. Cuthbertson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina–Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Stephanie Eckman
- RTI International, Research Triangle Park, North Carolina, United States of America
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17
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Chan HW, Dharmage S, Dobson A, Chung HF, Loxton D, Doust J, Montgomery G, Stamatakis E, Huxley RR, Hamer M, Abbott J, Yeap BB, Visser JA, McIntyre H, Mielke GI, Mishra GD. Cohort profile: a prospective Australian cohort study of women's reproductive characteristics and risk of chronic disease from menarche to premenopause (M-PreM). BMJ Open 2022; 12:e064333. [PMID: 36307154 PMCID: PMC9621184 DOI: 10.1136/bmjopen-2022-064333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
PURPOSE Previous studies have identified associations between individual reproductive factors and chronic disease risk among postmenopausal women. However, few have investigated the association of different markers of reproductive function, their interactions and risk factors of chronic disease among women approaching menopause. The Menarche-to-PreMenopause (M-PreM) Study aims to examine the relationship between reproductive factors across the reproductive lifespan and risk indicators for chronic disease among women in their early-to-mid-40s. The purpose of this cohort profile paper is to describe the rationale, study design and participant characteristics of the M-PreM Study. PARTICIPANTS Women born in 1973-1978 who participated in the Australian Longitudinal Study on Women's Health (ALSWH) were invited to undertake a clinical or self-administered assessment. A total of 1278 women were recruited from June 2019 to June 2021. FINDINGS TO DATE The study measures included functional, cognitive and cardiometabolic tests, anthropometry, spirometry, respiratory health questionnaires, physical activity, sleep patterns, sex hormones, and cardiovascular and metabolic markers; whereas blood and saliva samples were used for the analysis of genetic variants of genes associated with reproductive characteristics and chronic disease. The mean age of the clinic and self-assessed participants was 44.6 and 45.3 years, respectively. The menopausal status of participants was similar between the two arms of the study: 38%-41% premenopausal, 20% perimenopausal, and 36% took oral contraception or hormone replacement therapy. Approximately 80% of women had at least one child and participants reported experiencing pregnancy complications: preterm birth (8%-13% of pregnancies), gestational diabetes (10%) and gestational hypertension (10%-15%). FUTURE PLANS The biomedical data collected in the M-PreM Study will be linked to existing ALSWH survey data on sociodemographic factors, health behaviour, reproductive function, and early life factors collected over the past 20 years and health administrative data. The association between reproductive factors and risk indicators of chronic disease will be analysed.
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Affiliation(s)
- Hsiu-Wen Chan
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Shyamali Dharmage
- Allergy and Lung Health Unit, School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - Annette Dobson
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Hsin-Fang Chung
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Deborah Loxton
- Centre for Women's Health Research, The University of Newcastle, Newcastle, New South Wales, Australia
| | - Jenny Doust
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Grant Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Emmanuel Stamatakis
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Rachel R Huxley
- Faculty of Health, Deakin University, Burwood, Victoria, Australia
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Mark Hamer
- Division of Surgery and Interventional Sciences, Faculty of Medical Sciences, University College London, London, UK
| | - Jason Abbott
- School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia
- Gynaecological Research and Clinical Evaluation (GRACE) Unit, Royal Hospital for Women, Sydney, New South Wales, Australia
| | - Bu Beng Yeap
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia
| | - Jenny A Visser
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Harold McIntyre
- School of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Mater Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Gregore Iven Mielke
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Gita D Mishra
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
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18
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Blodgett JM, Norris T, Stamatakis E, O'Donovan G, Pinto Pereira SM, Hamer M. Prenatal and postnatal correlates of moderate-to-vigorous physical activity in midlife: evidence from the 1970 British Cohort Study. J Epidemiol Community Health 2022. [PMCID: PMC9554029 DOI: 10.1136/jech-2022-219213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background It is hypothesised that lifelong physical activity behaviours are established in early life, however there is minimal, and contradictory, evidence examining prenatal and postnatal factors in relation to adulthood physical activity. We investigated associations between prospectively ascertained prenatal/postnatal factors and device-measured moderate-to-vigorous physical activity (MVPA) in midlife. Methods Analyses included 5011 participants from the 1970 British Cohort Study, a birth cohort study of individuals born within the same week. At birth, the following factors were ascertained: socioeconomic position (SEP), maternal age, number of previous pregnancies, maternal smoking, maternal diabetes, gestational age, birth weight, breastfeeding status and infant health concerns. MVPA was captured at age 46 with a thigh-worn accelerometer device following a 24-hour protocol over 7 days. Results In sex-adjusted models, lower SEP (−6.7 min/day (95% CI: −9.0 to –4.4) in those with a partly or unskilled paternal occupation), younger maternal age (0.4 min/day (0.2 to 0.5) per additional year of maternal age), maternal smoking during pregnancy (−2.5 min/day (−4.0 to –1.0)) and post-term gestational age (−7.4 min/day (−11.5 to –3.4); boys only) were associated with lower MVPA at age 46. In the mutually adjusted model, associations did not change but there was some evidence that birth weight may also be associated with MVPA levels. Conclusions SEP, maternal age, maternal smoking, post-term birth in boys and birth weight were associated with MVPA in midlife, indicating that midlife physical activity behaviours may be partially established at birth. Early interventions in disadvantaged environments may have a positive impact on physical activity throughout the life course.
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Affiliation(s)
- Joanna M Blodgett
- Institute of Sport Exercise & Health, Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, UK
| | - Thomas Norris
- Institute of Sport Exercise & Health, Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, UK
| | - Emmanuel Stamatakis
- Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Gary O'Donovan
- Facultad de Medicina, Universidad de Los Andes, Bogotá, Colombia
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Snehal M Pinto Pereira
- Institute of Sport Exercise & Health, Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, UK
| | - Mark Hamer
- Institute of Sport Exercise & Health, Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, London, UK
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19
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Chauntry AJ, Bishop NC, Hamer M, Paine NJ. Frequently Interrupting Prolonged Sitting With Light Body-Weighted Resistance Activity Alters Psychobiological Responses to Acute Psychological Stress: A Randomized Crossover Trial. Ann Behav Med 2022; 57:301-312. [PMID: 36005837 DOI: 10.1093/abm/kaac055] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Uninterrupted prolonged sitting and exaggerated psychobiological reactivity to acute psychological stress are associated with increased risk of cardiovascular disease (CVD). Breaking up prolonged sitting with frequent, short bouts of light-intensity physical activity acutely lowers CVD risk markers under resting conditions. PURPOSE To examine whether frequent interruptions to prolonged sitting with body-weighted resistance activity can acutely lower systolic blood pressure (SBP; primary outcome) and other cardiovascular (CV), inflammatory, and cortisol (secondary outcomes) responses to acute psychological stress. METHODS This randomized crossover trial included 17 sedentary participants (9 men; mean ± SD age; 24.0 ± 0.5 years) who completed two conditions: (i) interrupting 4 hr of sitting with 4 min of light body-weighted resistance activity every 30-min (BREAK), and (ii) 4 hr of uninterrupted sitting (SIT). Following the BREAK and SIT intervention windows, CV, inflammatory, and cortisol markers were measured at rest, during stress tasks (8-min Paced Auditory Serial Addition Test [PASAT] and 3-min cold pressor [CP]), and 45-min recovery periods. RESULTS There were main effects of time for CV parameters (SBP, diastolic blood pressure, heart rate, cardiac output, and total peripheral resistance [all p < .001]), inflammatory markers (interleukin-6 [IL-6]), and cortisol (p < .05) in response to stress. Time-by-condition interaction effects revealed that in the BREAK-condition there was lower SBP during immediate recovery from the CP (mean {95% confidence interval [CI]}: 127.2 [121.3, 133.4] vs 133.4 [125.5, 141.7] mmHg; p = .020), higher concentrations of plasma IL-6 45-min post-PASAT (2.70 [1.97, 3.70] vs 1.71 [1.32, 2.22] pg/mL; p = .010), and larger (nonsignificant) salivary cortisol concentrations 8-min post-CP (6.29 [4.60, 8.58] vs 3.97 [3.16, 4.99] nmol/L; p = .079). CONCLUSIONS Interrupting prolonged sitting with frequent bouts of light intensity body-weighted resistance activity alters psychobiological responses to acute psychological stress. Further research should explore the longer-term implications for CVD risk.
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Affiliation(s)
- Aiden J Chauntry
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, UK.,National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, UK
| | - Nicolette C Bishop
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, UK.,National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, UK
| | - Mark Hamer
- The Institute of Sport, Exercise and Health, Division of Surgery and Interventional Science, University College London, London, UK
| | - Nicola J Paine
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, UK.,National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, UK
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20
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Edwardson CL, Biddle SJH, Clemes SA, Davies MJ, Dunstan DW, Eborall H, Granat MH, Gray LJ, Healy GN, Jaicim NB, Lawton S, Maylor BD, Munir F, Richardson G, Yates T, Clarke-Cornwell AM. Effectiveness of an intervention for reducing sitting time and improving health in office workers: three arm cluster randomised controlled trial. BMJ 2022; 378:e069288. [PMID: 35977732 PMCID: PMC9382450 DOI: 10.1136/bmj-2021-069288] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To evaluate the effectiveness of an intervention, with and without a height adjustable desk, on daily sitting time, and to investigate the relative effectiveness of the two interventions, and the effectiveness of both interventions on physical behaviours and physical, biochemical, psychological, and work related health and performance outcomes. DESIGN Cluster three arm randomised controlled trial with follow-up at three and 12 months. SETTING Local government councils in Leicester, Liverpool, and Greater Manchester, UK. PARTICIPANTS 78 clusters including 756 desk based employees in defined offices, departments, or teams from two councils in Leicester, three in Greater Manchester, and one in Liverpool. INTERVENTIONS Clusters were randomised to one of three conditions: the SMART Work and Life (SWAL) intervention, the SWAL intervention with a height adjustable desk (SWAL plus desk), or control (usual practice). MAIN OUTCOMES MEASURES The primary outcome measure was daily sitting time, assessed by accelerometry, at 12 month follow-up. Secondary outcomes were accelerometer assessed sitting, prolonged sitting, standing and stepping time, and physical activity calculated over any valid day, work hours, workdays, and non-workdays, self-reported lifestyle behaviours, musculoskeletal problems, cardiometabolic health markers, work related health and performance, fatigue, and psychological measures. RESULTS Mean age of participants was 44.7 years, 72.4% (n=547) were women, and 74.9% (n=566) were white. Daily sitting time at 12 months was significantly lower in the intervention groups (SWAL -22.2 min/day, 95% confidence interval -38.8 to -5.7 min/day, P=0.003; SWAL plus desk -63.7 min/day, -80.1 to -47.4 min/day, P<0.001) compared with the control group. The SWAL plus desk intervention was found to be more effective than SWAL at changing sitting time (-41.7 min/day, -56.3 to -27.0 min/day, P<0.001). Favourable differences in sitting and prolonged sitting time at three and 12 month follow-ups for both intervention groups and for standing time for the SWAL plus desk group were observed during work hours and on workdays. Both intervention groups were associated with small improvements in stress, wellbeing, and vigour, and the SWAL plus desk group was associated with improvements in pain in the lower extremity, social norms for sitting and standing at work, and support. CONCLUSIONS Both SWAL and SWAL plus desk were associated with a reduction in sitting time, although the addition of a height adjustable desk was found to be threefold more effective. TRIAL REGISTRATION ISRCTN Registry ISRCTN11618007.
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Affiliation(s)
- Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Springfield Central, QLD, Australia
| | - Stacy A Clemes
- NIHR Leicester Biomedical Research Centre, Leicester, UK
- School of Sport, Exercise and Health Sciences, Loughborough University, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Mary MacKillop Institute for Health Research, The Australian Catholic University, Melbourne, VIC, Australia
| | - Helen Eborall
- Department of Health Sciences, University of Leicester, Leicester, UK
- Deanery of Molecular, Genetic and Population Health Sciences, The University of Edinburgh, UK
| | - Malcolm H Granat
- School of Health and Society, University of Salford, Salford, Greater Manchester, UK
| | - Laura J Gray
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Genevieve N Healy
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | | | - Sarah Lawton
- School of Health and Society, University of Salford, Salford, Greater Manchester, UK
| | - Benjamin D Maylor
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Fehmidah Munir
- School of Sport, Exercise and Health Sciences, Loughborough University, Leicester, UK
| | | | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
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21
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Sullivan A, Brown M, Hamer M, Ploubidis GB. Cohort Profile Update: The 1970 British Cohort Study (BCS70). Int J Epidemiol 2022:6645761. [PMID: 35849349 DOI: 10.1093/ije/dyac148] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Alice Sullivan
- Centre for Longitudinal Studies, Social Research Institute, University College London, London, UK
| | - Matt Brown
- Centre for Longitudinal Studies, Social Research Institute, University College London, London, UK
| | - Mark Hamer
- Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, UK
| | - George B Ploubidis
- Centre for Longitudinal Studies, Social Research Institute, University College London, London, UK
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22
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Tarp J, Fagerland MW, Dalene KE, Johannessen JS, Hansen BH, Jefferis BJ, Whincup PH, Diaz KM, Hooker S, Howard VJ, Chernofsky A, Larson MG, Spartano NL, Vasan RS, Dohrn IM, Hagströmer M, Edwardson C, Yates T, Shiroma EJ, Dempsey PC, Wijndaele K, Anderssen SA, Lee IM, Ekelund U. Device-measured physical activity, adiposity and mortality: a harmonised meta-analysis of eight prospective cohort studies. Br J Sports Med 2022; 56:725-732. [PMID: 34876405 PMCID: PMC9209690 DOI: 10.1136/bjsports-2021-104827] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/17/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND The joint associations of total and intensity-specific physical activity with obesity in relation to all-cause mortality risk are unclear. METHODS We included 34 492 adults (72% women, median age 62.1 years, 2034 deaths during follow-up) in a harmonised meta-analysis of eight population-based prospective cohort studies with mean follow-up ranging from 6.0 to 14.5 years. Standard body mass index categories were cross-classified with sample tertiles of device-measured total, light-to-vigorous and moderate-to-vigorous physical activity and sedentary time. In five cohorts with waist circumference available, high and low waist circumference was combined with tertiles of moderate-to-vigorous physical activity. RESULTS There was an inverse dose-response relationship between higher levels of total and intensity-specific physical activity and mortality risk in those who were normal weight and overweight. In individuals with obesity, the inverse dose-response relationship was only observed for total physical activity. Similarly, lower levels of sedentary time were associated with lower mortality risk in normal weight and overweight individuals but there was no association between sedentary time and risk of mortality in those who were obese. Compared with the obese-low total physical activity reference, the HRs were 0.59 (95% CI 0.44 to 0.79) for normal weight-high total activity and 0.67 (95% CI 0.48 to 0.94) for obese-high total activity. In contrast, normal weight-low total physical activity was associated with a higher risk of mortality compared with the obese-low total physical activity reference (1.28; 95% CI 0.99 to 1.67). CONCLUSIONS Higher levels of physical activity were associated with lower risk of mortality irrespective of weight status. Compared with obesity-low physical activity, there was no survival benefit of being normal weight if physical activity levels were low.
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Affiliation(s)
- Jakob Tarp
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - Morten W Fagerland
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - Knut Eirik Dalene
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | | | - Bjørge H Hansen
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | - Barbara J Jefferis
- Primary Care and Population Health, University College London, London, UK
| | - Peter H Whincup
- Population Health Research Institute, St George's University of London, London, UK
| | - Keith M Diaz
- Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, New York, USA
| | - Steven Hooker
- College of Health and Human Services, San Diego State University, San Diego, California, USA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Ariel Chernofsky
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Nicole L Spartano
- Department of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Ramachandran S Vasan
- Departments of Medicine and Epidemiology, Boston University School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA
| | - Ing-Mari Dohrn
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Maria Hagströmer
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
| | - Charlotte Edwardson
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Thomas Yates
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Eric J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, Maryland, USA
| | - Paddy C Dempsey
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Physical Activity and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Sigmund A Anderssen
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - I-Min Lee
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
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23
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Chauntry AJ, Bishop NC, Hamer M, Kingsnorth AP, Chen YL, Paine NJ. Sedentary behaviour is associated with heightened cardiovascular, inflammatory and cortisol reactivity to acute psychological stress. Psychoneuroendocrinology 2022; 141:105756. [PMID: 35483244 DOI: 10.1016/j.psyneuen.2022.105756] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Sedentary behaviour is a risk factor for cardiovascular disease (CVD), but the underlying mechanisms remain unclear. Exaggerated psychobiological responses to acute psychological stress increase CVD risk. Sedentary behaviour is associated with characteristics that can predict large psychobiological stress response patterns (e.g., elevated resting blood pressure and systemic inflammation), but it is currently unknown whether sedentary behaviour and stress reactivity are directly linked. The aim of this study was to examine associations between device-assessed sedentary behaviour and measures of stress reactivity. METHODS Sixty-one healthy adults wore an activPAL (thigh) and ActiGraph (wrist) for seven days to measure habitual levels of sedentary behaviour (mean ± SD = 9.96 ± 1.48 h/day) and moderate-to-vigorous physical activity (mean ± SD = 101.82 ± 42.92 min/day). Participants then underwent stress reactivity testing, where beat-to-beat cardiovascular (e.g., blood pressure, total peripheral resistance), inflammatory (plasma interleukin-6, leukocytes) and salivary cortisol measurements were taken in response to an 8-minute socially evaluative Paced Auditory Serial Addition Test. RESULTS Higher volumes of daily sedentary behaviour were associated with larger stress responses for diastolic blood pressure (Β=1.264, 95%CI=0.537-1.990, p = .005), total peripheral resistance (Β=40.563, 95%CI=19.310-61.812, p < .001), interleukin-6 (Β=0.219, 95%CI=0.109-0.329, p < .001) and cortisol (Β=1.844, 95%CI=1.139-2.549, p < .001). These findings emerged independent of a priori determined covariates, including daily levels of moderate-to-vigorous physical activity and adiposity. DISCUSSION Exaggerated stress reactivity is characteristic of high sedentary behaviour and could be a novel mechanism linking sedentary behaviour with CVD. Future work should examine the impact of reducing sedentary behaviour on measures of stress reactivity, as this may have clinical relevance for preventing CVD.
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Affiliation(s)
- Aiden J Chauntry
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, United Kingdom; National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, United Kingdom
| | - Nicolette C Bishop
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, United Kingdom; National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, United Kingdom
| | - Mark Hamer
- The Institute of Sport, Exercise and Health, Division of Surgery & Interventional Science, University College London, London, United Kingdom
| | - Andrew P Kingsnorth
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, United Kingdom; National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, United Kingdom; Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
| | - Yu-Ling Chen
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, United Kingdom
| | - Nicola J Paine
- School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, Leicestershire, United Kingdom; National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicestershire, United Kingdom.
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24
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Hamer M, Blodgett JM, Stamatakis E. Dose-response association between step count and cardiovascular disease risk markers in middle-aged adults. Scand J Med Sci Sports 2022; 32:1161-1165. [PMID: 35460292 PMCID: PMC9428935 DOI: 10.1111/sms.14173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 04/05/2022] [Accepted: 04/21/2022] [Indexed: 11/27/2022]
Abstract
Several step-based daily targets have been widely circulated, but there is a lack of empirical population-based evidence to support such guidance. We examined dose-response associations between step count and classical CVD risk markers (glycated hemoglobin, high density lipoprotein cholesterol, triglycerides, and C-reactive protein) in 4665 adults (aged 46 years; 51.4% female) in a cross-sectional study. Step counts were measured from a thigh mounted accelerometer (activPAL) worn over 7 days. The shape of the dose-response curve for most risk markers was "L-shaped," with linear risk reduction up to around 10 000 steps a day. Controlling for stepping intensity did not materially alter our results.
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Affiliation(s)
- Mark Hamer
- Division Surgery Interventional Science, Institute of Sport Exercise and Health, University College London, London, UK
| | - Joanna M Blodgett
- Division Surgery Interventional Science, Institute of Sport Exercise and Health, University College London, London, UK
| | - Emmanuel Stamatakis
- Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
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25
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Sedentary Behaviour, Physical Activity and Psychobiological Stress Reactivity: A Systematic Review. Biol Psychol 2022; 172:108374. [DOI: 10.1016/j.biopsycho.2022.108374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/27/2022] [Accepted: 05/31/2022] [Indexed: 11/18/2022]
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26
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Speirs C, Granat M, Stamatakis E, Hamer M. Estimating changes in physical behaviour during lockdowns using accelerometry-based simulations in a large UK cohort. Scand J Med Sci Sports 2021; 31:2221-2229. [PMID: 34378241 DOI: 10.1111/sms.14032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/30/2021] [Indexed: 11/27/2022]
Abstract
To contain the recent COVID-19 outbreak restrictions have been imposed, which has limited outdoor activity. These physical behaviour changes can have serious health implications, but there is little objective information quantifying these changes. This study aimed to estimate the change in physical behaviour levels during full lockdown conditions using objective data collected from a thigh-worn activity monitor. Data used was from 6,492 individuals in the 1970 British Cohort Study, collected between 2016 and 2018. Using walking bout characteristics, days were classified as either "indoor only" (n=861), "indoor and exercise" (n=167) and "outdoor active" (n=31,934). When compared to "outdoor active" days, "indoor only" days had 6,590 fewer steps per day (2,320 vs 8,876, p < 0.001), a longer sedentary time (1.5 hours, p < 0.001), longer lying time (1.4 hours, p < 0.001) and shorter standing (1.9 hours, p < 0.001) and stepping (1.3 hours, p < 0.001) times. The "indoor and exercise" days had a smaller number of steps compared to "outdoor active" (7,932 vs 8,876, p < 0.05). There is a strong relationship between reduced daily stepping, and increased sedentary time, with a range of poor health outcomes. This has important implications for public health policy and messaging during pandemics.
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Affiliation(s)
- Craig Speirs
- PAL Technologies Ltd, Glasgow, G1 1XP, UK.,University of Strathclyde, Computer and Information Sciences, Glasgow, G1 1XQ, UK
| | - Malcolm Granat
- University of Salford, School of Health Sciences, Salford, Select county, M6 6PU, UK
| | - Emmanuel Stamatakis
- University of Sydney, Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, Sydney, NSW, AUS
| | - Mark Hamer
- University College London, Institute Sport Exercise & Health, Division of Surgery & Interventional Science, Faculty of Medical Sciences, London, UK
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27
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Kandola AA, Del Pozo Cruz B, Osborn DPJ, Stubbs B, Choi KW, Hayes JF. Impact of replacing sedentary behaviour with other movement behaviours on depression and anxiety symptoms: a prospective cohort study in the UK Biobank. BMC Med 2021; 19:133. [PMID: 34134689 PMCID: PMC8210357 DOI: 10.1186/s12916-021-02007-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/17/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Sedentary behaviour is potentially a modifiable risk factor for depression and anxiety disorders, but findings have been inconsistent. To assess the associations of sedentary behaviour with depression and anxiety symptoms and estimate the impact of replacing daily time spent in sedentary behaviours with sleep, light, or moderate to vigorous physical activity, using compositional data analysis methods. METHODS We conducted a prospective cohort study in 60,235 UK Biobank participants (mean age: 56; 56% female). Exposure was baseline daily movement behaviours (accelerometer-assessed sedentary behaviour and physical activity, and self-reported total sleep). Outcomes were depression and anxiety symptoms (Patient Health Questionnaire-9 and Generalised Anxiety Disorders-7) at follow-up. RESULTS Replacing 60 min of sedentary behaviour with light activity, moderate-to-vigorous activity, and sleep was associated with lower depression symptom scores by 1.3% (95% CI, 0.4-2.1%), 12.5% (95% CI, 11.4-13.5%), and 7.6% (95% CI, 6.9-8.4%), and lower odds of possible depression by 0.95 (95% CI, 0.94-0.96), 0.75 (95% CI, 0.74-0.76), and 0.90 (95% CI, 0.90-0.91) at follow-up. Replacing 60 min of sedentary behaviour with moderate-to-vigorous activity and sleep was associated with lower anxiety symptom scores by 6.6% (95% CI, 5.5-7.6%) and 4.5% (95% CI, 3.7-5.2%), and lower odds of meeting the threshold for a possible anxiety disorder by 0.90 (95% CI, 0.89-0.90) and 0.97 (95%CI, 0.96-0.97) at follow-up. However, replacing 60 min of sedentary behaviour with light activity was associated with higher anxiety symptom scores by 4.5% (95% CI, 3.7-5.3%) and higher odds of a possible anxiety disorder by 1.07 (95% CI, 1.06-1.08). CONCLUSIONS Sedentary behaviour is a risk factor for increased depression and anxiety symptoms in adults. Replacing sedentary behaviour with moderate-to-vigorous activity may reduce mental health risks, but more work is necessary to clarify the role of light activity.
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Affiliation(s)
- A A Kandola
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Court Rd, London, W1T 7BN, UK. .,Institute of Mental Health, University College London, London, UK.
| | - B Del Pozo Cruz
- Motivation and Behaviour Program, Institute for Positive Psychology and Education, Faculty of Health Sciences, Australian Catholic University, Sydney, Australia
| | - D P J Osborn
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Court Rd, London, W1T 7BN, UK.,Camden and Islington NHS Foundation Trust, London, UK
| | - B Stubbs
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.,Physiotherapy Department, South London, and Maudsley National Health Services Foundation Trust, London, UK
| | - K W Choi
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Boston, MA, USA
| | - J F Hayes
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Court Rd, London, W1T 7BN, UK.,Camden and Islington NHS Foundation Trust, London, UK
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28
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Optimization and Validation of a Classification Algorithm for Assessment of Physical Activity in Hospitalized Patients. SENSORS 2021; 21:s21051652. [PMID: 33673447 PMCID: PMC7956397 DOI: 10.3390/s21051652] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 11/17/2022]
Abstract
Low amounts of physical activity (PA) and prolonged periods of sedentary activity are common in hospitalized patients. Objective PA monitoring is needed to prevent the negative effects of inactivity, but a suitable algorithm is lacking. The aim of this study is to optimize and validate a classification algorithm that discriminates between sedentary, standing, and dynamic activities, and records postural transitions in hospitalized patients under free-living conditions. Optimization and validation in comparison to video analysis were performed in orthopedic and acutely hospitalized elderly patients with an accelerometer worn on the upper leg. Data segmentation window size (WS), amount of PA threshold (PA Th) and sensor orientation threshold (SO Th) were optimized in 25 patients, validation was performed in another 25. Sensitivity, specificity, accuracy, and (absolute) percentage error were used to assess the algorithm’s performance. Optimization resulted in the best performance with parameter settings: WS 4 s, PA Th 4.3 counts per second, SO Th 0.8 g. Validation showed that all activities were classified within acceptable limits (>80% sensitivity, specificity and accuracy, ±10% error), except for the classification of standing activity. As patients need to increase their PA and interrupt sedentary behavior, the algorithm is suitable for classifying PA in hospitalized patients.
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29
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Hamer M, Chastin S, Viner RM, Stamatakis E. Childhood Obesity and Device-Measured Sedentary Behavior: An Instrumental Variable Analysis of 3,864 Mother-Offspring Pairs. Obesity (Silver Spring) 2021; 29:220-225. [PMID: 33135330 DOI: 10.1002/oby.23025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 08/12/2020] [Accepted: 08/19/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Intergenerational data on mother-offspring pairs were utilized in an instrumental variable analysis to examine the longitudinal association between BMI and sedentary behavior. METHODS The sample included 3,864 mother-offspring pairs from the 1970 British Cohort Study. Height and weight were recorded in mothers (age 31 [5.4] years) and offspring (age 10 years) and repeated in offspring during adulthood. Offspring provided objective data on sedentary behavior (7-day thigh-worn activPAL) in adulthood at age 46 to 47 years. RESULTS Maternal BMI, the instrumental variable, was associated with offspring BMI at age 10 (change per kg/m2 , β = 0.11; 95% CI: 0.09 to 0.12), satisfying a key assumption of instrumental variable analyses. Offspring (change per kg/m2 , β = 0.010; 95% CI: -0.02 to 0.03 h/d) and maternal BMI (β = 0.017; 95% CI: 0.001 to 0.03 h/d) was related to offspring sedentary time, suggestive of a causal impact of BMI on sedentary behavior (two-stage least squares analysis, β = 0.18 [SE 0.08], P = 0.015). For moderate-vigorous physical activity, there were associations with offspring BMI (β = -0.010; 95% CI: -0.017 to -0.004) and maternal BMI (β = -0.007; 95% CI: -0.010 to -0.003), with evidence for causality (two-stage least squares analysis, β = -0.060 [SE 0.02], P = 0.001). CONCLUSIONS There is strong evidence for a causal pathway linking childhood obesity to greater sedentary behavior.
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Affiliation(s)
- Mark Hamer
- Institute of Sport Exercise & Health, Division of Surgery & Interventional Science, University College London, London, UK
| | - Sebastien Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Science, Ghent University, Ghent, Belgium
| | - Russell M Viner
- Institute of Child Health, University College London, London, UK
| | - Emmanuel Stamatakis
- Charles Perkins Centre, School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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30
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Stamatakis E, Huang BH, Maher C, Thøgersen-Ntoumani C, Stathi A, Dempsey PC, Johnson N, Holtermann A, Chau JY, Sherrington C, Daley AJ, Hamer M, Murphy MH, Tudor-Locke C, Gibala MJ. Untapping the Health Enhancing Potential of Vigorous Intermittent Lifestyle Physical Activity (VILPA): Rationale, Scoping Review, and a 4-Pillar Research Framework. Sports Med 2021; 51:1-10. [PMID: 33108651 PMCID: PMC7806564 DOI: 10.1007/s40279-020-01368-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Recently revised public health guidelines acknowledge the health benefits of regular intermittent bouts of vigorous intensity incidental physical activity done as part of daily living, such as carrying shopping bags, walking uphill, and stair climbing. Despite this recognition and the advantages such lifestyle physical activity has over continuous vigorous intensity structured exercise, a scoping review we conducted revealed that current research in this area is, at best, rudimentary. Key gaps include the absence of an empirically-derived dose specification (e.g., minimum duration of lifestyle physical activity required to achieve absolute or relative vigorous intensity), lack of acceptable measurement standards, limited understanding of acute and chronic (adaptive) effects of intermittent vigorous bouts on health, and paucity of essential information necessary to develop feasible and scalable interventions (e.g., acceptability of this kind of physical activity by the public). To encourage collaboration and research agenda alignment among groups interested in this field, we propose a research framework to further understanding of vigorous intermittent lifestyle physical activity (VILPA). This framework comprises four pillars aimed at the development of: (a) an empirical definition of VILPA, (b) methods to reliably and accurately measure VILPA, (c) approaches to examine the short and long-term dose-response effects of VILPA, and (d) scalable and acceptable behavioural VILPA-promoting interventions.
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Affiliation(s)
- Emmanuel Stamatakis
- School of Health Sciences, Charles Perkins Centre, The University of Sydney, Faculty of Medicine and Health, Hub D17, L6 West, Sydney, NSW, Australia.
| | - Bo-Huei Huang
- School of Health Sciences, Charles Perkins Centre, The University of Sydney, Faculty of Medicine and Health, Hub D17, L6 West, Sydney, NSW, Australia
| | - Carol Maher
- Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Cecilie Thøgersen-Ntoumani
- Physical Activity and Well-Being Research Group, School of Psychology, Curtin University, Perth, Australia
| | - Afroditi Stathi
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Paddy C Dempsey
- Physical Activity and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Nathan Johnson
- School of Health Sciences, Charles Perkins Centre, The University of Sydney, Faculty of Medicine and Health, Hub D17, L6 West, Sydney, NSW, Australia
| | - Andreas Holtermann
- National Research Centre for the Working Environment (NRCWE), Copenhagen, Denmark
| | - Josephine Y Chau
- Department of Health Systems and Populations, Macquarie University, Sydney, Australia
| | - Catherine Sherrington
- Institute of Musculoskeletal Health, University of Sydney, Sydney School of Public Health, Faculty of Medicine and Health, Sydney, Australia
| | - Amanda J Daley
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Mark Hamer
- Institute Sport Exercise Health, Faculty Medical Sciences, University College London, London, UK
| | - Marie H Murphy
- Doctoral College, Ulster University, Newtownabbey, Co Antrim, BT37 0QB, Northern Ireland, UK
| | - Catrine Tudor-Locke
- Department of Kinesiology, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Martin J Gibala
- Department of Kinesiology, McMaster University, Hamilton, ON, Canada
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31
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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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32
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Hamer M, Stamatakis E. The descriptive epidemiology of standing activity during free-living in 5412 middle-aged adults: the 1970 British Cohort Study. J Epidemiol Community Health 2020; 74:757-760. [PMID: 32350124 DOI: 10.1136/jech-2020-213783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/28/2020] [Accepted: 04/14/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Standing is often classified as light-intensity physical activity, with potential health benefits compared with sitting. Standing is, however, rarely captured as an independent activity. To better understand free-living standing behaviour at a population level, we incorporated a gold standard postural allocation technique into a national cohort study. METHODS Participants (n=5412, aged 46.8±0.7 years) from the 1970 British Cohort Study were fitted with a water-proofed thigh-mounted accelerometer device (activPAL3 micro) worn 24 hours continuously over 7 days (90.7% provided at least 3 full days). We examined the correlates of free-living standing during waking hours. RESULTS Total daily standing time averaged 4.6±1.5 h/d, accounting for 29% of waking hours, which was largely (98.7%) accumulated in bouts lasting less than 30 min. In mutually adjusted models, male sex, obesity, diabetes, professional occupation, poor self-rated health and disability were associated with lower device-measured standing times. CONCLUSION Middle-aged people in Britain spent a surprisingly large proportion of the day in activities involving standing. Standing merits attention as a health-related posture and may represent a potential target for public health intervention.
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Affiliation(s)
- Mark Hamer
- Institute Sport Exercise & Health, Division Surgery Interventional Science, University College London, London, UK
| | - Emmanuel Stamatakis
- Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, Sydney, Australia
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33
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Powell L, Edwards KM, Bauman A, McGreevy P, Podberscek A, Neilly B, Sherrington C, Stamatakis E. Does dog acquisition improve physical activity, sedentary behaviour and biological markers of cardiometabolic health? Results from a three-arm controlled study. BMJ Open Sport Exerc Med 2020; 6:e000703. [PMID: 32518673 PMCID: PMC7254141 DOI: 10.1136/bmjsem-2019-000703] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2020] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES Dog ownership has been associated with improved cardiometabolic risk factors, including physical activity. Most of the evidence originates from cross-sectional studies or populations with established disease. This study investigated changes in physical activity and other cardiometabolic risk factors following dog acquisition in a sample of 71 community-dwelling adults. METHODS Participants self-allocated to three groups: 17 individuals acquired a dog within 1 month of baseline (dog acquisition), 29 delayed dog acquisition until study completion (lagged control) and 25 had no interest in dog acquisition (community control). Self-reported and thigh-worn accelerometer-based physical activity patterns, systolic and diastolic blood pressures, resting heart rate and VO2max were measured three times: baseline, 3 months and 8 months. Data were analysed using repeated measures analysis of covariance with owner age, season, sex and education included as covariates. Post hoc between-group tests were performed where there were significant overall effects (p<0.05). RESULTS We found significant effects in mean daily steps (F(4,64)=3.02, p=0.02) and sit-to-stand transitions (F(4,66)=3.49, p=0.01). The dog acquisition group performed an additional 2589 steps (p=0.004) and 8.2 sit-to-stand transitions (p=0.03) per day at 3 months, although these effects were not maintained at 8 months. We found a significant effect in self-reported weekly walking duration (F(4,130)=2.84, p=0.03) among the lagged control group with an 80 min increase between 3 and 8 months (p=0.04). Other cardiometabolic risk factors were unchanged following dog acquisition. CONCLUSION Our study provides encouraging results that suggest a positive influence of dog acquisition on physical activity in the short term but larger and more generalisable controlled studies are needed. TRIAL REGISTRATION NUMBER ACTRN12617000967381.
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Affiliation(s)
- Lauren Powell
- Charles Perkins Centre, Prevention Research Collaboration, Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Kate M Edwards
- Charles Perkins Centre, Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Adrian Bauman
- Charles Perkins Centre, Prevention Research Collaboration, Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Paul McGreevy
- Sydney School of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia
| | - Anthony Podberscek
- Charles Perkins Centre, Sydney School of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia
| | - Brendon Neilly
- Royal Society for the Prevention of Cruelty to Animals (RSPCA), Sydney, New South Wales, Australia
| | - Catherine Sherrington
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Emmanuel Stamatakis
- Charles Perkins Centre, Prevention Research Collaboration, Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
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