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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:jech-2023-221726. [PMID: 38744444 DOI: 10.1136/jech-2023-221726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [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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Swelam BA, Arundell L, Salmon JO, Abbott G, Timperio A, Chastin SFM, Ridgers ND. Exploring Children's Self-Reported Activity Compensation: The REACT Study. Med Sci Sports Exerc 2023; 55:1456-1464. [PMID: 36924338 DOI: 10.1249/mss.0000000000003164] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
PURPOSE Previous research has focused on device-based measures of activity compensation, with little understanding of how children perceive potential compensatory responses to activity or inactivity, or whether these change after periods of activity or inactivity. The aim of this study was (a) to explore the alignment between children's self-reported usual compensation and compensation recall after experimental conditions and (b) to examine sex differences. METHODS In total, 360 children (47% boys) participated in at least one of three experimental conditions over 6 wk: (a) restricted physical activity (PA; indoor play), (b) imposed moderate- to vigorous-intensity PA (MVPA; sports class), and (c) imposed light-intensity PA (LPA; standing lesson). Before the first condition, children reported their "usual compensation" behavior to examples of restricted/imposed PA, and 2-3 d after each experimental condition, they completed a recall measure of their compensation after the condition. Multilevel regression models were conducted to determine whether children's perceptions of "usual compensation" score were associated with recalled compensation score after imposed or restricted PA. Additional models were fitted for sex-specific associations. RESULTS Overall and among girls, the usual compensation score was positively associated with the compensatory recall score for the additional MVPA and LPA conditions ( P < 0.0005; e.g., they thought they would usually compensate for additional MVPA and then perceived that they compensated after additional MVPA). A negative association was seen in the restricted activity condition among girls ( P = 0.03). All associations in the boys' analyses were statistically nonsignificant. CONCLUSIONS These findings suggest some alignment between children's self-reported usual compensation and compensation recall after imposed changes to routine activity. Future research should consider device-measured comparisons and identify characteristics of children at risk of activity compensation in future interventions.
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Affiliation(s)
- Brittany A Swelam
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, AUSTRALIA
| | - Lauren Arundell
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, AUSTRALIA
| | - J O Salmon
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, AUSTRALIA
| | - Gavin Abbott
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, AUSTRALIA
| | - Anna Timperio
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, AUSTRALIA
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Yerramalla MS, van Hees VT, Chen M, Fayosse A, Chastin SFM, Sabia S. Objectively Measured Total Sedentary Time and Pattern of Sedentary Accumulation in Older Adults: Associations With Incident Cardiovascular Disease and All-Cause Mortality. J Gerontol A Biol Sci Med Sci 2022; 77:842-850. [PMID: 35094083 PMCID: PMC8974336 DOI: 10.1093/gerona/glac023] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND We examined associations of total duration and pattern of accumulation of objectively measured sedentary behavior (SB) with incident cardiovascular disease (CVD) and all-cause mortality among older adults. METHODS Total sedentary time and 8 sedentary accumulation pattern metrics were extracted from accelerometer data of 3 991 Whitehall II study participants aged 60-83 years in 2012-2013. Incident CVD and all-cause mortality were ascertained up to March 2019. RESULTS Two hundred and ninety-nine CVD cases and 260 deaths were recorded over a mean (standard deviation [SD]) follow-up of 6.2 (1.3) and 6.4 (0.8) years, respectively. Adjusting for sociodemographic and behavioral factors, 1-SD (100.2 minutes) increase in total sedentary time was associated with 20% higher CVD risk (hazard ratio [95% confidence interval]: 1.20 [1.05-1.37]). More fragmented SB was associated with reduced CVD risk (eg, 0.86 [0.76-0.97] for 1-SD [6.2] increase in breaks per sedentary hour). Associations were not evident once health-related factors and moderate-to-vigorous physical activity (MVPA) were considered. For all-cause mortality, associations with more fragmented SB (eg, 0.73 [0.59-0.91] for breaks per sedentary hour) were found only among the youngest older group (<74 years; p for interaction with age < .01) independently from all covariates. CONCLUSIONS In this study, no associations of total sedentary time and sedentary accumulation patterns with incident CVD and all-cause mortality were found in the total sample once MVPA was considered. Our findings of reduced mortality risk with less total and more fragmented SB independent from MVPA among individuals <74 years need to be replicated to support the recent recommendations to reduce and fragment SB.
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Affiliation(s)
- Manasa Shanta Yerramalla
- Université de Paris, INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris,France
| | | | - Mathilde Chen
- Université de Paris, INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris,France
| | - Aurore Fayosse
- Université de Paris, INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris,France
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Séverine Sabia
- Université de Paris, INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris,France.,Department of Epidemiology and Public Health, University College London, London, UK
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Compernolle S, Van Dyck D, Vanhove K, Chastin SFM, Lauwerier E, Cardon G. Identifying conducive contexts and working mechanisms of sedentary behaviour interventions in older adults: a realist review protocol as part of the 'Stand UP Seniors' project. BMJ Open 2021; 11:e053942. [PMID: 34887281 PMCID: PMC8663081 DOI: 10.1136/bmjopen-2021-053942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 11/15/2021] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Lifestyle behaviours, including sedentary behaviour, have been listed as key modifiable factors to promote healthy ageing. Sedentary behaviour is ubiquitous in older adults and has a strong link with age-related functional declines and chronic health conditions. Although several interventions have been developed aimed at the reduction of sedentary behaviour in older adults, little in-depth information is available on how these complex interventions work in different contexts. Therefore, the aim of our study was to unpack the mechanisms of how existing interventions aimed at the reduction of older adults' sedentary behaviour work or fail to work in particular contexts in order to optimise the development and implementation of future sedentary behaviour interventions. METHODS AND ANALYSIS A realist review will be conducted as a first part of the Stand UP Seniors (SUPS) project and will be structured as follows: (1) defining the scope of the review, (2) searching and appraising the evidence, (3) extracting data and synthesising the results, and (4) drawing conclusions and formulating recommendations. The result of this iterative process will be a final programme theory that can be used to identify which context triggers which mechanism, and in turn might elicit which outcome. The final programme theory will be used to inform the second and the third parts of the SUPS project, which are, respectively, the development and evaluation of a sedentary behaviour intervention in older adults. ETHICS AND DISSEMINATION Ethical approval is not required for the review. Dissemination of the realist review results, including the final programme theory, will occur through peer-reviewed publications and presentations at relevant conferences. The peer-reviewed realist review will be prepared according to the Realist and Meta-narrative Evidence Synthesis: Evolving Standards publication standards for realist syntheses. PROSPERO REGISTRATION NUMBER CRD42021248795.
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Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sports Sciences, Ghent University, Gent, Belgium
| | - Delfien Van Dyck
- Department of Movement and Sports Sciences, Ghent University, Gent, Belgium
| | - Kenneth Vanhove
- Department of Movement and Sports Sciences, Ghent University, Gent, Belgium
| | - Sebastien F M Chastin
- Institute of Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Emelien Lauwerier
- Department of Experimental Clinical and Healthy Psychology, Ghent University, Gent, Belgium
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Greet Cardon
- Movement and Sports Sciences, Ghent University, Gent, Belgium
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Brakenridge CJ, Healy GN, Sethi P, Carver A, Bellettiere J, Salim A, Chastin SFM, Owen N, Dunstan DW. Contrasting compositions of sitting, standing, stepping, and sleeping time: associations with glycaemic outcome by diabetes risk. Int J Behav Nutr Phys Act 2021; 18:155. [PMID: 34863205 PMCID: PMC8642848 DOI: 10.1186/s12966-021-01209-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 10/05/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Recent evidence suggests that prolonged sitting and its adverse impact on glycaemic indicators appear to be proportional to the degree of insulin resistance. To investigate this finding in a free-living context, we aimed to examine associations of device-measured 24-h time-use compositions of sitting, standing, stepping, and sleeping with fasting glucose (FPG) and 2 h post-load glucose (2hPLG) levels, and to examine separately the associations with time-use compositions among those at lower and at higher risk of developing type 2 diabetes. METHODS Cross-sectional analyses examined thigh-worn inclinometer data (activPAL, 7 day, 24 h/day protocol) from 648 participants (aged 36-80 years) at either lower (< 39 mmol/mol; < 5.7% HbA1c) or higher (≥39 mmol/mol; ≥5.7% HbA1c) diabetes risk from the 2011-2012 Australian Diabetes, Obesity and Lifestyle study. Multiple linear regression models were used to examine associations of differing compositions with FPG and 2hPLG, with time spent in each behaviour allowed to vary up to 60 min. RESULTS In general, the associations with the FPG within the time-use compositions were small, with statistically significant associations observed for sitting and sleeping (in the lower diabetes risk group) and standing (in higher diabetes risk group) only. For 2hPLG, statistically significant associations were observed for stepping only, with findings similar between lower (β = - 0.12 95%CI:-0.22, - 0.02) and higher (β = - 0.13 95%CI:-0.26, - 0.01) risk groups. Varying the composition had minimal impact on FPG; however 1 h less sitting time and equivalent increase in standing time was associated with attenuated FPG levels in higher risk only (Δ FPG% = - 1.5 95%CI: - 2.4, - 0.5). Large differences in 2hPLG were observed for both groups when varying the composition. One hour less sitting with equivalent increase in stepping was associated with attenuated 2hPLG, with estimations similar in lower (Δ 2hPLG% = - 3.8 95%CI: - 7.3, - 0.2) and higher (Δ 2hPLG% = - 5.0 95%CI: - 9.7, - 0.0) risk for diabetes. CONCLUSIONS In middle-aged and older adults, glycaemic control could be improved by reducing daily sitting time and replacing it with stepping. Standing could also be beneficial for those at higher risk of developing type 2 diabetes.
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Affiliation(s)
- Christian J Brakenridge
- Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia. .,Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
| | - Genevieve N Healy
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Parneet Sethi
- Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - Alison Carver
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Agus Salim
- Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.,School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sports Science, Ghent University, Ghent, Belgium
| | - Neville Owen
- Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.,Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia
| | - David W Dunstan
- Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.,Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
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6
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Palmer VJ, Gray CM, Fitzsimons C, Mutrie N, Wyke S, Der G, Chastin SFM, Skelton DA. Sitting as a moral practice: Older adults' accounts from qualitative interviews on sedentary behaviours. Sociol Health Illn 2021; 43:2102-2120. [PMID: 34724232 DOI: 10.1111/1467-9566.13383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 08/27/2021] [Accepted: 09/14/2021] [Indexed: 06/13/2023]
Abstract
Amidst public health campaigns urging people to sit less as well as being more physically active, this paper investigates how older adults make sense of their sedentary behaviour. Using an accounts framework focusing on how people rationalise their sitting practices, we analysed data from 44 qualitative interviews with older adults. All interviewees had received information about sedentary behaviour and health, visual feedback on their own objectively measured sitting over a week and guidance on sitting less. Participants used accounts to position sitting as a moral practice, distinguishing between 'good' (active/'busy') and 'bad' (passive/'not busy') sitting. This allowed them to align themselves with acceptable (worthwhile) forms of sitting and distance themselves from other people whose sitting they viewed as less worthwhile. However, some participants also described needing to sit more as they got older. The findings suggest that some public health messaging may lead to stigmatisation around sitting. Future sedentary behaviour guidelines and public health campaigns should consider more relatable guidelines that consider the lived realities of ageing, and the individual and social factors that shape them. They should advocate finding a balance between sitting and moving that is appropriate for each person.
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Affiliation(s)
- Victoria J Palmer
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Cindy M Gray
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, UK
| | - Claire Fitzsimons
- Physical Activity for Health Research Centre, Institute Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Nanette Mutrie
- Physical Activity for Health Research Centre, Institute Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Sally Wyke
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, UK
| | - Geoff Der
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Sport and Movement Sciences, Ghent University, Ghent, Belgium
| | - Dawn A Skelton
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
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7
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Yerramalla MS, McGregor DE, Hees VTV, Fayosse A, Dugravot A, Tabak AG, Chen M, Chastin SFM, Sabia S. Daily composition of movement behaviors with cardiovascular disease incidence in elderly. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Moderate-to-vigorous physical activity (MVPA) is proposed as key for cardiovascular diseases (CVD) prevention. At older ages, the role of sedentary behavior (SB) and light intensity physical activity (LIPA) remains unclear. Evidence so far is based on studies examining movement behaviors as independent entities ignoring their co-dependency. This study aims to examine the association between daily composition of objectively-assessed movement behaviors (MVPA, LIPA, SB) and incident CVD in older adults.
Methods
Whitehall II accelerometer sub-study participants free of CVD at baseline (N = 3319, 26.7% women, mean age=68.9 years in 2012-2013) wore a wrist-accelerometer from which times in SB, LIPA, and MVPA were extracted. Compositional Cox regression was used to estimate the hazard ratio (HR) for incident CVD for daily compositions of movement behaviors characterized by 10 (20 or 30) minutes greater duration in one movement behavior accompanied by decrease in another behavior, while keeping the third behavior constant, compared to reference composition.
Results
Of the 3319 participants, 299 had an incident CVD over a mean (SD) follow-up of 6.2 (1.3) years. Compared to individuals with daily movement behavior composition composed with MVPA at recommended 21 minutes per day (150 minutes/week), composition with additional 10 minutes of MVPA and 10 minutes less SB were associated with smaller risk reduction -8% (HR, 0.92; 95% CI, 0.87-0.99) - than the 14% increase in risk associated with a composition of similarly reduced time in MVPA and more time in SB (HR, 1.14; 95% CI, 1.02-1.27). For a given MVPA duration, the CVD risk did not differ as a function of LIPA and SB durations.
Conclusions
An increase in MVPA duration at the expense of time in either SB or LIPA was associated with lower risk of incident CVD. This study lends support to public health guidelines encouraging increase in MVPA or at least maintain MVPA at their current duration.
Key messages
Older adults should be encouraged to increase their moderate-to-vigorous physical activity or at least maintain at their current levels to lower risk of incident cardiovascular disease. Highly sedentary older adults should increase their moderate-to-vigorous physical activity by decreasing sedentary time rather than light-intensity activity to prevent cardiovascular disease.
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Affiliation(s)
- MS Yerramalla
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - DE McGregor
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Biomathematics and Statistics Scotland, Edinburgh, UK
| | | | - A Fayosse
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - A Dugravot
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - AG Tabak
- Department of Epidemiology and Public Health, University College London, London, UK
- Department of Internal Medicine and Oncology, Semmelweis University, Faculty of Medicine, Budapest, Hungary
- Department of Public Health, Semmelweis University, Budapest, Hungary
| | - M Chen
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - SFM Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - S Sabia
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Department of Epidemiology and Public Health, University College London, London, UK
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Cabanas-Sánchez V, Esteban-Cornejo I, García-Esquinas E, Ortolá R, Ara I, Rodríguez-Gómez I, Chastin SFM, Rodríguez-Artalejo F, Martínez-Gómez D. Cross-sectional and prospective associations of sleep, sedentary and active behaviors with mental health in older people: a compositional data analysis from the Seniors-ENRICA-2 study. Int J Behav Nutr Phys Act 2021; 18:124. [PMID: 34530862 PMCID: PMC8444566 DOI: 10.1186/s12966-021-01194-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 08/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Most studies on the effects of sleep, sedentary behavior (SB), and physical activity (PA) on mental health did not account for the intrinsically compositional nature of the time spent in several behaviors. Thus, we examined the cross-sectional and prospective associations of device-measured compositional time in sleep, SB, light PA (LPA) and moderate-to-vigorous PA (MVPA) with depression symptoms, loneliness, happiness, and global mental health in older people (≥ 65 years). METHODS Data were taken from the Seniors-ENRICA-2 study, with assessments in 2015-2017 (wave 0) and 2018-2019 (wave 1). Time spent in sleep, SB, LPA and MVPA was assessed by wrist-worn accelerometers. Depression symptoms, loneliness, happiness, and global mental health were self-reported using validated questionnaires. Analyses were performed using a compositional data analysis (CoDA) paradigm and adjusted for potential confounders. RESULTS In cross-sectional analyses at wave 0 (n = 2489), time-use composition as a whole was associated with depression and happiness (all p < 0.01). The time spent in MVPA relative to other behaviors was beneficially associated with depression (γ = -0.397, p < 0.001), loneliness (γ = -0.124, p = 0.017) and happiness (γ = 0.243, p < 0.001). Hypothetically, replacing 30-min of Sleep, SB or LPA with MVPA was beneficially cross-sectionally related with depression (effect size [ES] ranged -0.326 to -0.246), loneliness (ES ranged -0.118 to -0.073), and happiness (ES ranged 0.152 to 0.172). In prospective analyses (n = 1679), MVPA relative to other behaviors at baseline, was associated with favorable changes in global mental health (γ = 0.892, p = 0.049). We observed a beneficial prospective effect on global mental health when 30-min of sleep (ES = 0.521), SB (ES = 0.479) or LPA (ES = 0.755) were theoretically replaced for MVPA. CONCLUSIONS MVPA was cross-sectionally related with reduced depression symptoms and loneliness and elevated level of happiness, and prospectively related with enhanced global mental health. Compositional isotemporal analyses showed that hypothetically replacing sleep, SB or LPA with MVPA could result in modest but significantly improvements on mental health indicators. Our findings add evidence to the emerging body of research on 24-h time-use and health using CoDA and suggest an integrated role of daily behaviors on mental health in older people.
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Affiliation(s)
| | - Irene Esteban-Cornejo
- PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Esther García-Esquinas
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Ignacio Ara
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Toledo, Spain.,Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES), Madrid, Spain
| | - Irene Rodríguez-Gómez
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Toledo, Spain.,Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES), Madrid, Spain
| | - Sebastien F M Chastin
- School of Health and Life Science, Institute for Applied Health Research, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sport Sciences, Ghent Univeristy, Ghent, Belgium
| | - Fernando Rodríguez-Artalejo
- IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain.,Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - David Martínez-Gómez
- IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain.,Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
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9
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McMichan L, Dick M, Skelton DA, Chastin SFM, Owen N, Dunstan DW, Fraser WD, Tang JCY, Greig CA, Agyapong-Badu S, Mavroeidi A. Sedentary behaviour and bone health in older adults: a systematic review. Osteoporos Int 2021; 32:1487-1497. [PMID: 33768342 DOI: 10.1007/s00198-021-05918-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 03/09/2021] [Indexed: 10/21/2022]
Abstract
Older adults spend more than 8 h/day in sedentary behaviours. Detrimental effects of sedentary behaviour (SB) on health are established, yet little is known about SB and bone health (bone mineral density; BMD) in older adults. The purpose of this review is to examine associations of SB with BMD in older adults. Five electronic databases were searched: Web of Science (Core Collection); PubMed; EMBASE; Sports Medicine and Education and PsycInfo. Inclusion criteria were healthy older adults mean age ≥ 65 years; measured SB and measured BMD using dual-energy X-ray absorptiometry. Quality was assessed using National Institute of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. After excluding duplicates 17813 papers were assessed; 17757 were excluded on title/abstract, 49 at full text, resulting in two prospective and five cross-sectional observational studies reviewed. Four were rated 'good' and three were rated 'fair' using the quality assessment criteria. Findings varied across the studies and differed by gender. In women, four studies reported significant positive associations of SB with BMD at different sites, and two found significant negative associations. Five studies which examined both men and women, men reported negative or no associations of SB with femoral neck, pelvic, whole body, spine or leg BMD. Whilst these findings suggest differences between men and women in the associations of SB with BMD, they may be due to the varying anatomical sections examined for BMD, the different methods used to measure SB, the varied quality of the studies included and the limited number of published findings.
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Affiliation(s)
- L McMichan
- Department of Physical Activity for Health, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
| | - M Dick
- Department of Physical Activity for Health, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - D A Skelton
- Centre for Living, Department of Physiotherapy and Paramedicine, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - S F M Chastin
- Centre for Living, Department of Physiotherapy and Paramedicine, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Science, Ghent University, Ghent, Belgium
| | - N Owen
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Centre for Urban Transitions, Swinburne University, Melbourne, Australia
| | - D W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - W D Fraser
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - J C Y Tang
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - C A Greig
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK
| | - S Agyapong-Badu
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - A Mavroeidi
- Department of Physical Activity for Health, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
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10
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Janssen I, Clarke AE, Carson V, Chaput JP, Giangregorio LM, Kho ME, Poitras VJ, Ross R, Saunders TJ, Ross-White A, Chastin SFM. A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults. Appl Physiol Nutr Metab 2021; 45:S248-S257. [PMID: 33054342 DOI: 10.1139/apnm-2020-0160] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This systematic review determined if the composition of time spent in movement behaviours (i.e., sleep, sedentary behaviour (SED), light physical activity, and moderate-to-vigorous physical activity (MVPA)) is associated with health in adults. Five electronic databases were searched in August 2019. Studies were eligible for inclusion if they were peer-reviewed, examined community-dwelling adults, and used compositional data analysis to examine the associations between the composition of time spent in movement behaviours and health outcomes. Eight studies (7 cross-sectional, 1 prospective cohort) of >12 000 unique participants were included. Findings indicated that the 24-h movement behaviour composition was associated with all-cause mortality (1 of 1 analyses), adiposity (4 of 4 analyses), and cardiometabolic biomarkers (8 of 15 analyses). Reallocating time into MVPA from other movement behaviours was associated with favourable changes to most health outcomes and taking time out of SED and reallocating it into other movement behaviours was associated with favourable changes to all-cause mortality. The quality of evidence was very low for all health outcomes. In conclusion, these findings support the notion that the composition of movement across the entire 24-h day matters, and that recommendations for sleep, SED, and physical activity should be combined into a single public health guideline. (PROSPERO registration no.: CRD42019121641.) Novelty The 24-h movement behaviour composition is associated with a variety of health outcomes. Reallocating time into MVPA is favourably associated with health. Reallocating time out of SED is associated with favourable changes to mortality risk.
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Affiliation(s)
- Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.,Department of Public Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Anna E Clarke
- Department of Public Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Valerie Carson
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB T6G 2H9, Canada
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Lora M Giangregorio
- Department of Kinesiology and Schlegel-UW Research Institute for Aging, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Michelle E Kho
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON L8S 1C7, Canada
| | | | - Robert Ross
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Travis J Saunders
- Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada
| | | | - Sebastien F M Chastin
- School of Health and Life Science, Glasgow Caledonia University, Glasgow, G4 0BA, Scotland.,Department of Movement and Sport Sciences, Ghent University, Belgium, Ghent
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11
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Yerramalla MS, McGregor DE, van Hees VT, Fayosse A, Dugravot A, Tabak AG, Chen M, Chastin SFM, Sabia S. Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults. Int J Behav Nutr Phys Act 2021; 18:83. [PMID: 34247647 PMCID: PMC8273960 DOI: 10.1186/s12966-021-01157-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/15/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Moderate-to-vigorous physical activity (MVPA) is proposed as key for cardiovascular diseases (CVD) prevention. At older ages, the role of sedentary behaviour (SB) and light intensity physical activity (LIPA) remains unclear. Evidence so far is based on studies examining movement behaviours as independent entities ignoring their co-dependency. This study examines the association between daily composition of objectively-assessed movement behaviours (MVPA, LIPA, SB) and incident CVD in older adults. METHODS Whitehall II accelerometer sub-study participants free of CVD at baseline (N = 3319, 26.7% women, mean age = 68.9 years in 2012-2013) wore a wrist-accelerometer from which times in SB, LIPA, and MVPA during waking period were extracted over 7 days. Compositional Cox regression was used to estimate the hazard ratio (HR) for incident CVD for daily compositions of movement behaviours characterized by 10 (20 or 30) minutes greater duration in one movement behaviour accompanied by decrease in another behaviour, while keeping the third behaviour constant, compared to reference composition. Analyses were adjusted for sociodemographic, lifestyle, cardiometabolic risk factors and multimorbidity index. RESULTS Of the 3319 participants, 299 had an incident CVD over a mean (SD) follow-up of 6.2 (1.3) years. Compared to daily movement behaviour composition with MVPA at recommended 21 min per day (150 min/week), composition with additional 10 min of MVPA and 10 min less SB was associated with smaller risk reduction - 8% (HR, 0.92; 95% CI, 0.87-0.99) - than the 14% increase in risk associated with a composition of similarly reduced time in MVPA and more time in SB (HR, 1.14; 95% CI, 1.02-1.27). For a given MVPA duration, the CVD risk did not differ as a function of LIPA and SB durations. CONCLUSIONS Among older adults, an increase in MVPA duration at the expense of time in either SB or LIPA was found associated with lower incidence of CVD. This study lends support to public health guidelines encouraging increase in MVPA or at least maintain MVPA at current duration.
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Affiliation(s)
- Manasa S Yerramalla
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, 10 Avenue de Verdun, 75010, Paris, France.
| | - Duncan E McGregor
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK.,Biomathematics and Statistics Scotland, Edinburgh, UK
| | | | - Aurore Fayosse
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Aline Dugravot
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Adam G Tabak
- Department of Epidemiology and Public Health, University College London, London, UK.,Department of Internal Medicine and Oncology, Semmelweis University, Faculty of Medicine, Budapest, Hungary.,Department of Public Health, Semmelweis University, Faculty of Medicine, Budapest, Hungary
| | - Mathilde Chen
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, 10 Avenue de Verdun, 75010, Paris, France
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK.,Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Séverine Sabia
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, 10 Avenue de Verdun, 75010, Paris, France.,Department of Epidemiology and Public Health, University College London, London, UK
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12
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Hendrickx W, Riveros C, Askim T, Bussmann JBJ, Callisaya ML, Chastin SFM, Dean C, Ezeugwu V, Jones TM, Kuys SS, Mahendran N, Manns PJ, Mead G, Moore SA, Paul L, Pisters MF, Saunders DH, Simpson DB, Tieges Z, Verschuren O, English C. An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis. J Neurol Phys Ther 2021; 45:221-227. [PMID: 33867457 DOI: 10.1097/npt.0000000000000357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Long periods of daily sedentary time, particularly accumulated in long uninterrupted bouts, are a risk factor for cardiovascular disease. People with stroke are at high risk of recurrent events and prolonged sedentary time may increase this risk. We aimed to explore how people with stroke distribute their periods of sedentary behavior, which factors influence this distribution, and whether sedentary behavior clusters can be distinguished? METHODS This was a secondary analysis of original accelerometry data from adults with stroke living in the community. We conducted data-driven clustering analyses to identify unique accumulation patterns of sedentary time across participants, followed by multinomial logistical regression to determine the association between the clusters, and the total amount of sedentary time, age, gender, body mass index (BMI), walking speed, and wake time. RESULTS Participants in the highest quartile of total sedentary time accumulated a significantly higher proportion of their sedentary time in prolonged bouts (P < 0.001). Six unique accumulation patterns were identified, all of which were characterized by high sedentary time. Total sedentary time, age, gender, BMI, and walking speed were significantly associated with the probability of a person being in a specific accumulation pattern cluster, P < 0.001 - P = 0.002. DISCUSSION AND CONCLUSIONS Although unique accumulation patterns were identified, there is not just one accumulation pattern for high sedentary time. This suggests that interventions to reduce sedentary time must be individually tailored.Video Abstract available for more insight from the authors (see the Video Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A343).
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Affiliation(s)
- Wendy Hendrickx
- Department of Rehabilitation, Physiotherapy Science & Sport, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands (W.H., M.F.P.); School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia (W.H., D.B.S., C.E.); Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, the Netherlands (W.H., M.F.P.); Bioinformatics, Hunter Medical Research Institute, and School of Medicine and Public Health, University of Newcastle, Newcastle, Australia (C.R.); Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway (T.A.); Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands (J.B.J.B.); Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia (M.L.C.); School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom (S.F.M.C., L.P., Z.T.); Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium (S.F.M.C.); Department of Health Professions, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia (C.D., T.M.J.); Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada (V.E., P.J.M.); National Head, School of Allied Health, Faculty of Health Sciences, Australian Catholic University, Brisbane, Australia (S.S.K.); Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australia (N.M.); Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (G.M.); Stroke Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom (S.A.M.); Department of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, the Netherlands (M.F.P.); Physical Activity for Health Research Centre, Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, United Kingdom (D.H.S.); Department of Geriatric Medicine, University of Edinburgh, United Kingdom (Z.T.); UMC Utrecht Brain Center, Center of Excellence for Rehabilitation Medicine, De Hoogstraat Rehabilitation, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands (O.V.); and Centre for Research Excellence in Stroke Recovery and Rehabilitation, Florey Institute of Neuroscience and Hunter Medical Research Institute, Newcastle, Australia (C.E.)
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13
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Fawole HO, Idowu OA, Abaraogu UO, Dell'Isola A, Riskowski JL, Oke KI, Adeniyi AF, Mbada CE, Steultjens MP, Chastin SFM. Factors associated with fatigue in hip and/or knee osteoarthritis: a systematic review and best evidence synthesis. Rheumatol Adv Pract 2021; 5:rkab013. [PMID: 33928211 PMCID: PMC8068317 DOI: 10.1093/rap/rkab013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/22/2021] [Indexed: 02/01/2023] Open
Abstract
Objective The aim was systematically to identify and evaluate factors related to fatigue in individuals with hip and/or knee OA. Methods A systematic literature search was conducted using AMED, CINAHL, MEDLINE, ProQuest and Web of Science Core Collections databases. Inclusion criteria comprised cross-sectional, case–control or longitudinal studies on patients with a diagnosis of hip and/or knee OA that included self-reported fatigue measures. Study quality was assessed using the National Heart, Lung and Blood Institute quality appraisal tool, and factors were synthesized within a bio-behavioural framework. Study designs and quality were combined to determine current evidence levels using best evidence synthesis grading. The full review protocol is available from PROSPERO (PROSPERO 2019: CRD42019138571). Results Twenty-four studies were included, of which 19 were high, 4 moderate and 1 low quality. There was strong evidence of an association between poor self-reported physical function and high depressive symptoms with higher fatigue. Moderate evidence of an association was found between severe pain, high numbers of co-morbidities and low physical activity levels with higher fatigue. There was moderate or limited evidence of no association between most sociodemographic factors and radiographic OA severity with fatigue. Conclusion Targets for fatigue management might include improving physical function, reducing depressive symptoms, pain and co-morbidities, and increasing physical activity levels. There is a need for more rigorous longitudinal studies to understand the causal effect of fatigue determinants within the hip and knee OA populations.
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Affiliation(s)
- Henrietta O Fawole
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Physiotherapy, College of Medical Sciences, University of Benin, Benin-city
| | - Opeyemi A Idowu
- Department of Physiotherapy, College of Medical Sciences, University of Benin, Benin-city
| | - Ukachukwu O Abaraogu
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Medical Rehabilitation, University of Nigeria, Enugu, Nigeria
| | - Andrea Dell'Isola
- Department of Clinical Sciences, Orthopaedics, Clinical Epidemiology Unit, Faculty of Medicine, Lund University, Lund, Sweden
| | - Jody L Riskowski
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Kayode I Oke
- Department of Physiotherapy, College of Medical Sciences, University of Benin, Benin-city
| | - Ade F Adeniyi
- Department of Physiotherapy, University of Ibadan, Oyo State
| | - Chidozie E Mbada
- Department of Medical Rehabilitation, Obafemi Awolowo University, Osun State, Nigeria
| | - Martijn P Steultjens
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Sebastien F M Chastin
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sports Science, Ghent University, Ghent, Belgium
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14
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Del Pozo Cruz B, McGregor DE, Del Pozo Cruz J, Buman MP, Palarea-Albaladejo J, Alfonso-Rosa RM, Chastin SFM. Integrating Sleep, Physical Activity, and Diet Quality to Estimate All-Cause Mortality Risk: A Combined Compositional Clustering and Survival Analysis of the National Health and Nutrition Examination Survey 2005-2006 Cycle. Am J Epidemiol 2020; 189:1057-1064. [PMID: 32286613 DOI: 10.1093/aje/kwaa057] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 04/06/2020] [Accepted: 04/08/2020] [Indexed: 01/31/2023] Open
Abstract
We aimed to compare all-cause mortality risk across clusters of adults ≥50 years of age (n = 1,035) with common lifestyle behaviors patterns, enrolled in the US National Health and Nutrition Examination Survey (2005-2006). Log-ratio coordinates of 24-hour movement pattern and z scores of diet quality were used as input into a model-based clustering analysis. A Cox regression model was fitted to ascertain the all-cause mortality risk associated with each cluster. Participants were clustered into 4 groups: 1) a group characterized by a better physical activity profile and longer sleep duration coupled with an average diet quality (cluster 1); 2) a group with the poorest activity profile and shortest sleep but also the best diet quality (cluster 2); 3) another group featuring lower levels of activity of either intensity and higher levels of sedentary behavior and also a poor diet quality score (cluster 3); and 4) a group with an average diet quality and the best activity profile in the sample (cluster 4). A combination of a poorer diet and activity profile increased the prospective risk of all-cause mortality. Our findings emphasize the importance of considering the combination of diet quality and 24-hour movement patterns when developing interventions to reduce the risk of premature mortality.
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15
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Van Cauwenberg J, De Clercq B, Deforche B, Cardon G, Chastin SFM. Accuracy and inequalities in physical activity research. Lancet Glob Health 2020; 7:e183-e184. [PMID: 30683232 DOI: 10.1016/s2214-109x(18)30514-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 11/02/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Jelle Van Cauwenberg
- Department of Public Health, Ghent 9000, Belgium; Ghent University, Ghent 9000, Belgium; Research Foundation-Flanders (FWO), Brussels, Belgium.
| | - Bart De Clercq
- Department of Public Health, Ghent 9000, Belgium; Ghent University, Ghent 9000, Belgium
| | - Benedicte Deforche
- Department of Public Health, Ghent 9000, Belgium; Ghent University, Ghent 9000, Belgium; Physical Activity, Nutrition and Health Research Unit, Department of Movement and Sports Sciences, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Greet Cardon
- Department of Movement and Sport Sciences, Ghent 9000, Belgium
| | - Sebastien F M Chastin
- Department of Movement and Sport Sciences, Ghent 9000, Belgium; Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK
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16
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Giné-Garriga M, Dall PM, Sandlund M, Jerez-Roig J, Chastin SFM, Skelton DA. A Pilot Randomised Clinical Trial of a Novel Approach to Reduce Sedentary Behaviour in Care Home Residents: Feasibility and Preliminary Effects of the GET READY Study. Int J Environ Res Public Health 2020; 17:ijerph17082866. [PMID: 32326304 PMCID: PMC7215704 DOI: 10.3390/ijerph17082866] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/17/2020] [Accepted: 04/19/2020] [Indexed: 12/31/2022]
Abstract
Care-home residents are among the most sedentary and least active of the population. We aimed to assess the feasibility, acceptability, safety, and preliminary effects of an intervention to reduce sedentary behaviour (SB) co-created with care home residents, staff, family members, and policymakers within a pilot two-armed pragmatic cluster randomized clinical trial (RCT). Four care homes from two European countries participated, and were randomly assigned to control (usual care, CG) or the Get Ready intervention (GR), delivered by a staff champion one-to-one with the care home resident and a family member. A total of thirty-one residents participated (51.6% female, 82.9 (13.6) years old). GR involves six face to face sessions over a 12-week period with goal-oriented prompts for movement throughout. The feasibility and acceptability of the intervention were assessed and adverse events (AEs) were collected. The preliminary effects of the GR on SB, quality of life, fear of falling, and physical function were assessed. Means and standard deviations are presented, with the mean change from baseline to post-intervention calculated along with 95% confidence intervals. The CG smoked more, sat more, and had more functional movement difficulties than the GR at baseline. The GR intervention was feasible and acceptable to residents and staff. No AEs occurred during the intervention. GR participants showed a decrease in daily hours spent sitting/lying (Cohen’s d = 0.36) and an increase in daily hours stepping, and improvements in health-related quality of life, fear of falling, and habitual gait speed compared to usual care, but these effects need confirmation in a definitive RCT. The co-created GR was shown to be feasible and acceptable, with no AEs.
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Affiliation(s)
- Maria Giné-Garriga
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK; (P.M.D.); (S.F.M.C.); (D.A.S.)
- Department of Physical Activity and Sport Sciences, Faculty of Psychology, Education and Sport Sciences (FPCEE) Blanquerna, Ramon Llull University, Císter 34, 08022 Barcelona, Spain
- Correspondence:
| | - Philippa M. Dall
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK; (P.M.D.); (S.F.M.C.); (D.A.S.)
| | - Marlene Sandlund
- Department of Community Medicine and Rehabilitation, Umeå University, 901 87 Umeå, Sweden;
| | - Javier Jerez-Roig
- Research Group on Methodology, Methods, Models and Outcome of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare, University of Vic-Central University of Catalonia (UVIC-UCC), 08500 Vic, Spain;
| | - Sebastien F. M. Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK; (P.M.D.); (S.F.M.C.); (D.A.S.)
- Department of Movement and Sport Science, Ghent University, St. Pietersnieuwstraat 33, 9000 Ghent, Belgium
| | - Dawn A. Skelton
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK; (P.M.D.); (S.F.M.C.); (D.A.S.)
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17
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McInnes L, Jones E, Rochester L, Lord S, Chastin SFM, Watson AW, Little L, Briggs P. Mobility in Community Dwelling Older Adults: Predicting Successful Mobility Using an Instrumented Battery of Novel Measures. J Frailty Aging 2020; 9:68-73. [PMID: 32259179 DOI: 10.14283/jfa.2019.35] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Mobility in older adults is associated with better quality of life. However, evidence suggests that older people spend less time out-of-home than younger adults. Traditional methods for assessing mobility have serious limitations. Wearable technologies provide the possibility of objectively assessing mobility over extended periods enabling better estimates of levels of mobility to be made and possible predictors to be explored. Eighty-six community dwelling older adults (mean age 79.8 years) had their mobility assessed for one week using GPS, accelerometry and self-report. Outcomes were: number of steps, time spent in dynamic outdoor activity, total distance travelled and total number of journeys made over the week. Assessments were also made of personal, cognitive, psychological, physical and social variables. Four regression models were calculated (one for each outcome). The models predicted 32 to 43% of the variance in levels of mobility. The ability to balance on one leg significantly predicted all four outcomes. In addition, cognitive ability predicted number of journeys made per week and time spent engaged in dynamic outdoor activity, and age significantly predicted total distance travelled. Overall estimates of mobility indicated step counts that were similar to those shown by previous research but distances travelled, measured by GPS, were lower. These findings suggest that mobility in this sample of older adults is predicted by the ability to balance on one leg. Possible interventions to improve out-of-home mobility could target balance. The fact that participants travelled shorter distances than those reported in previous studies is interesting since this high-functioning subgroup would be expected to demonstrate the highest levels.
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Affiliation(s)
- L McInnes
- Lynn McInnes, Department of Psychology, Northumberland Building, Northumbria University, Newcastle upon Tyne, NE1 8ST, Tel: +44 1912273238,
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18
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Fawole HO, Riskowski JL, Dell'Isola A, Steultjens MP, Nevitt MC, Torner JC, Lewis CE, Felson DT, Chastin SFM. Determinants of generalized fatigue in individuals with symptomatic knee osteoarthritis: The MOST Study. Int J Rheum Dis 2020; 23:559-568. [PMID: 31991526 PMCID: PMC7160026 DOI: 10.1111/1756-185x.13797] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 12/11/2019] [Accepted: 12/31/2019] [Indexed: 12/16/2022]
Abstract
AIM The aim of the study was to identify sociodemographic, disease-related, physical and mental health-related determinants of fatigue at 2-year follow-up in individuals with symptomatic knee osteoarthritis (OA). METHODS A longitudinal analysis of participants with symptomatic knee OA from the Multicenter Osteoarthritis Study (MOST) was conducted to identify predictors of fatigue at 2-year follow-up. Participants self-reported fatigue at baseline for the first time in the MOST cohort and at follow-up using a 0-10 visual analog scale. At baseline, questionnaires on sociodemographics, disease-related symptoms, physical and mental health factors were completed. Data were analyzed using linear regressions with a backwards elimination approach. RESULTS Of the 2330 individuals in the MOST cohort at baseline, 576 had symptomatic knee OA and of these, 449 with complete fatigue values at baseline and follow-up were included in this analysis. Minimally important fatigue change (ie, worsening [≥1.13], no change [<0.82 or <1.13] and improvement [≥-0.82]) from baseline to follow-up were unequal within the population (34.5%, 26.9%, 38.5%; χ2 [2, N = 449] = 9.32, P = .009). The multiple linear regression showed that baseline fatigue (unstandardized coefficient [Β] = 0.435; 95% confidence interval [CI] 0.348-0.523, P < .001), slow gait speed (Β = -1.124; 95% CI -1.962 to -0.285, P = .009), depressive symptoms (Β = 0.049; 95% CI 0.024-0.075, P < .001) and higher numbers of comorbidities (Β = 0.242; 95% CI 0.045-0.439, P = .016) were significant predictors of greater fatigue at follow-up. CONCLUSION Fatigue is strongly associated with physical- and mental-related health factors. Individualized treatments that include combined psychological and physical function rehabilitation might be modalities for fatigue management.
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Affiliation(s)
- Henrietta O Fawole
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Physiotherapy, College of Medical Sciences, University of Benin, Edo State, Nigeria
| | - Jody L Riskowski
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Andrea Dell'Isola
- Department of Orthopaedics, Faculty of Medicine, Lund University, Lund, Sweden
| | - Martijn P Steultjens
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | | | | | | | | | - Sebastien F M Chastin
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Science, Ghent University, Ghent, Belgium
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19
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Jerez-Roig J, Booth J, Skelton DA, Giné-Garriga M, Chastin SFM, Hagen S. Is urinary incontinence associated with sedentary behaviour in older women? Analysis of data from the National Health and Nutrition Examination Survey. PLoS One 2020; 15:e0227195. [PMID: 32017767 PMCID: PMC6999862 DOI: 10.1371/journal.pone.0227195] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 12/14/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Urinary incontinence (UI) is a common geriatric syndrome associated with physical and cognitive impairments. The association between type of UI and sedentary behaviour (SB) has not been explored. AIM To determine association between moderate-severe UI, or any stress UI (SUI) or any urgency UI (UUI) and SB in community-dwelling older women. METHODS Women aged 60 and over from the 2005-2006 cycle of the National Health and Nutrition Examination Survey (NHANES) with objectively measured (accelerometer) and self-reported SB and UI data were selected. Multivariate models exploring association between moderate-severe UI and SB, or SUI and SB, or UUI and SB were analysed using logistic regression adjusted for factors associated with UI. RESULTS In the overall sample of 459 older women, 23.5% reported moderate-severe UI, 50.5% reported any SUI and 41.4% reported any UUI. In bivariate analysis objectively measured proportion of time in SB was associated with moderate-severe UI and UUI (p = 0.014 and p = 0.047) but not SUI. Average duration of SB bouts in those with moderate-severe UI or any SUI was no longer than older women reporting no continence issues, but it was significantly (19%) longer in older women with any UUI (mean difference 3.2 minutes; p = 0.001). Self-reported SB variables were not associated with any type of UI. Multivariate analysis showed an association between UUI and a longer average duration of SB bouts (OR = 1.05, 95% CI = 1.01-1.09, p = 0.006) but no association with moderate-severe UI or SUI. CONCLUSION UUI was significantly associated with increased average duration of SB bouts in community-dwelling older women. The importance of objective measurement of SB is highlighted and suggests that decreasing time in prolonged sitting may be a target intervention to reduce UUI. Future studies are required to further explore the association between SB and incontinence.
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Affiliation(s)
- Javier Jerez-Roig
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O). Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS), University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain
| | - Joanne Booth
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Dawn A. Skelton
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Maria Giné-Garriga
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
- Blanquerna Faculty of Psychology, Education and Sport Sciences, Ramon Llull University, Barcelona, Spain
| | - Sebastien F. M. Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
- Department of Sport and Movement Science, Ghent University, Ghent, Belgium
| | - Suzanne Hagen
- Nursing, Midwifery and Allied Health Professions Research Unit, Glasgow Caledonian University, Glasgow, United Kingdom
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20
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Rodríguez-Gómez I, Mañas A, Losa-Reyna J, Rodríguez-Mañas L, Chastin SFM, Alegre LM, García-García FJ, Ara I. Compositional Influence of Movement Behaviors on Bone Health during Aging. Med Sci Sports Exerc 2020; 51:1736-1744. [PMID: 30829961 DOI: 10.1249/mss.0000000000001972] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION AND PURPOSE Physical activity (PA) is considered the best nonpharmacological treatment for the decrease in bone mass (BM) produced during aging. Therefore, it is essential to assess how the time spent in PA is distributed to control further changes. This work examines the relationship between movement behaviors and BM during aging, using compositional data analysis. METHODS We studied 227 older people 65 to 94 yr old (102 men and 125 women), divided by sex and bone status, over a period of 4 yr. Time spent in sedentary behavior (SB), light PA (LPA), and moderate to vigorous PA (MVPA), was assessed using accelerometry. BM was determined by dual-energy x-ray absorptiometry. RESULTS The changes in MVPA were positively associated with the rate of BM decay at spine and leg in the whole sample and men's subgroup (P ≤ 0.05). In women, the rate of BM decay at spine and Ward's triangle were negatively associated with SB changes, and BM decay at femoral neck and Ward's triangle were positively associated with LPA (P ≤ 0.05). CONCLUSION Increasing MVPA related to other movement behaviors produces improvements in the rate of bone change in older men, whereas to increase LPA and maintain MVPA would be the best approach to enhance BM in older women.
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Affiliation(s)
- Irene Rodríguez-Gómez
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, SPAIN.,CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN
| | - Asier Mañas
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, SPAIN.,CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN
| | - José Losa-Reyna
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, SPAIN.,CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN.,Geriatric Department, Virgen del Valle Hospital, Toledo, SPAIN
| | - Leocadio Rodríguez-Mañas
- CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN.,Geriatric Department, University Hospital of Getafe, Getafe, SPAIN
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UNITED KINGDOM.,Department of Movement and Sport Sciences, Ghent University, Ghent, BELGIUM
| | - Luis M Alegre
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, SPAIN.,CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN
| | - Francisco J García-García
- CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN.,Geriatric Department, Virgen del Valle Hospital, Toledo, SPAIN
| | - Ignacio Ara
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, SPAIN.,CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, SPAIN
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21
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Čukić I, Gale CR, Chastin SFM, Dall PM, Dontje ML, Skelton DA, Deary IJ. Cross-sectional associations between personality traits and device-based measures of step count and sedentary behaviour in older age: the Lothian Birth Cohort 1936. BMC Geriatr 2019; 19:302. [PMID: 31707991 PMCID: PMC6842536 DOI: 10.1186/s12877-019-1328-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 10/24/2019] [Indexed: 11/16/2022] Open
Abstract
Background While the associations between personality traits and self-reported physical activity are well replicated, few studies have examined the associations between personality and device-based measures of both physical activity and sedentary behaviour. Low levels of physical activity and high levels of sedentary behaviour are known risk factors for poorer health outcomes in older age. Methods We used device-based measures of physical activity and sedentary behaviour recorded over 7 days in 271 79-year-old participants of the Lothian Birth Cohort 1936. Linear regression models were used to assess whether personality traits were cross-sectionally associated with step count, sedentary time, and the number of sit-to-stand transitions. Personality traits were entered one at a time, and all-together, controlling for age and sex in Model 1 and additionally for BMI and limiting long-term illness in Model 2. Results None of the associations between personality traits and measures of physical activity and sedentary behaviours remained significant after controlling for multiple-comparisons using the False Discovery Rate test (all ps > .07). Conclusions We found no evidence that personality traits are associated with device-based measures of physical activity or sedentary behaviour in older age. More studies are needed to replicate and examine the nature of these relationships.
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Affiliation(s)
- Iva Čukić
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Catharine R Gale
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Sebastien F M Chastin
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium
| | - Philippa M Dall
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
| | - Manon L Dontje
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Dawn A Skelton
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Ian J Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
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22
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Paing AC, McMillan KA, Kirk AF, Collier A, Hewitt A, Chastin SFM. Impact of free-living pattern of sedentary behaviour on intra-day glucose regulation in type 2 diabetes. Eur J Appl Physiol 2019; 120:171-179. [PMID: 31705275 PMCID: PMC6969863 DOI: 10.1007/s00421-019-04261-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 11/05/2019] [Indexed: 12/14/2022]
Abstract
Purpose To investigate how the pattern of sedentary behaviour affects intra-day glucose regulation in type 2 diabetes. Methods This intensive longitudinal study was conducted in 37 participants with type 2 diabetes (age, 62.8 ± 10.5 years). Glucose and sedentary behaviour/physical activity were assessed with a continuous glucose monitoring (Abbott FreeStyle Libre) and an activity monitor (activPAL3) for 14 days. Multiple regression models with generalised estimating equations (GEEs) approach were used to assess the associations of sedentary time and breaks in sedentary time with pre-breakfast glucose, pre-lunch glucose, pre-dinner glucose, post-breakfast glucose, post-lunch glucose, post-dinner glucose, bedtime glucose, the dawn phenomenon, time in target glucose range (TIR, glucose 3.9–10 mmol/L) and time above target glucose range (TAR, glucose > 10 mmol/L). Results Sedentary time was associated with higher pre-breakfast glucose (p = 0.001), pre-dinner glucose (p < 0.001), post-lunch glucose (p = 0.005), post-dinner glucose (p = 0.013) and the dawn phenomenon (p < 0.001). Breaks in sedentary time were associated with lower pre-breakfast glucose (p = 0.023), pre-dinner glucose (p = 0.023), post-breakfast glucose (p < 0.001) and the dawn phenomenon (p = 0.004). The association between sedentary time and less TIR (p = 0.022) and the association between breaks in sedentary time and more TIR (p = 0.001) were also observed. Conclusions Reducing sedentary time and promoting breaks in sedentary time could be clinically relevant to improve intra-day glucose regulation in type 2 diabetes. Electronic supplementary material The online version of this article (10.1007/s00421-019-04261-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Aye C Paing
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
| | - Kathryn A McMillan
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Alison F Kirk
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Andrew Collier
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Allan Hewitt
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sports Science, Ghent University, Ghent, Belgium
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23
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McGregor DE, Palarea-Albaladejo J, Dall PM, Del Pozo Cruz B, Chastin SFM. Compositional analysis of the association between mortality and 24-hour movement behaviour from NHANES. Eur J Prev Cardiol 2019; 28:791-798. [PMID: 34247228 DOI: 10.1177/2047487319867783] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 07/15/2019] [Indexed: 11/16/2022]
Abstract
AIMS Previous prospective studies of the association between mortality and physical activity have generally not fully accounted for the interplay between movement behaviours. A compositional data modelling approach accounts for relative scale and co-dependency in time-use data across physical activity behaviours of the 24-hour day. METHODS A prospective analysis of the National Health and Nutrition Examination Survey 2005-2006 on N = 1468 adults (d = 135 deaths) in ages 50-79 years was undertaken using compositional Cox regression analysis. Daily time spent in sedentary behaviour, light intensity (LIPA) and moderate-to-vigorous physical activity (MVPA) was determined from waist-mounted accelerometer data (Actigraph 7164) and supplemented with self-reported sleep data to determine the daily time-use composition. RESULTS The composition of time spent in sedentary behaviour, LIPA, MVPA and sleep was associated with mortality rate after allowing for age and sex effects (p < 0.001), and remained significant when other lifestyle factors were added (p < 0.001). This was driven primarily by the preponderance of MVPA; however, significant changes are attributable to LIPA relative to sedentary behaviour and sleep, and sedentary behaviour relative to sleep. The final ratio ceased to be statistically significant after incorporating lifestyle factors. The preponderance of MVPA ceased to be statistically significant after incorporating health at outset and physical limitations on movement. CONCLUSIONS An association is inferred between survival rate and the physical activity composition of the day. The MVPA time share is important, but time spent in LIPA relative to sedentary behaviour and sleep is also a significant factor. Increased preponderance of MVPA may have detrimental associations at higher levels of MVPA.
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Affiliation(s)
- Duncan E McGregor
- School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.,Biomathematics and Statistics Scotland, Edinburgh, UK
| | | | - Philippa M Dall
- School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK
| | - Borja Del Pozo Cruz
- Institute for Positive Psychology and Education, Faculty of Health Sciences, Australian Catholic University, Sydney, Australia
| | - Sebastien F M Chastin
- School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sport Science, Ghent University, Belgium
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24
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Palmer VJ, Gray CM, Fitzsimons CF, Mutrie N, Wyke S, Deary IJ, Der G, Chastin SFM, Skelton DA. What Do Older People Do When Sitting and Why? Implications for Decreasing Sedentary Behavior. Gerontologist 2019; 59:686-697. [PMID: 29771308 PMCID: PMC6630262 DOI: 10.1093/geront/gny020] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 03/12/2018] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Sitting less can reduce older adults' risk of ill health and disability. Effective sedentary behavior interventions require greater understanding of what older adults do when sitting (and not sitting), and why. This study compares the types, context, and role of sitting activities in the daily lives of older men and women who sit more or less than average. RESEARCH DESIGN AND METHODS Semistructured interviews with 44 older men and women of different ages, socioeconomic status, and objectively measured sedentary behavior were analyzed using social practice theory to explore the multifactorial, inter-relational influences on their sedentary behavior. Thematic frameworks facilitated between-group comparisons. RESULTS Older adults described many different leisure time, household, transport, and occupational sitting and non-sitting activities. Leisure-time sitting in the home (e.g., watching TV) was most common, but many non-sitting activities, including "pottering" doing household chores, also took place at home. Other people and access to leisure facilities were associated with lower sedentary behavior. The distinction between being busy/not busy was more important to most participants than sitting/not sitting, and informed their judgments about high-value "purposeful" (social, cognitively active, restorative) sitting and low-value "passive" sitting. Declining physical function contributed to temporal sitting patterns that did not vary much from day-to-day. DISCUSSION AND IMPLICATIONS Sitting is associated with cognitive, social, and/or restorative benefits, embedded within older adults' daily routines, and therefore difficult to change. Useful strategies include supporting older adults to engage with other people and local facilities outside the home, and break up periods of passive sitting at home.
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Affiliation(s)
- Victoria J Palmer
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, UK
| | - Cindy M Gray
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, UK,Address correspondence to: Cindy M. Gray, PhD, Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, 27 Bute Gardens, Glasgow G12 8RS, UK. E-mail:
| | - Claire F Fitzsimons
- Physical Activity for Health Research Centre, Institute Sport, Physical Education and Health Sciences
| | - Nanette Mutrie
- Physical Activity for Health Research Centre, Institute Sport, Physical Education and Health Sciences
| | - Sally Wyke
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, UK
| | - Geoff Der
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK
| | - Sebastien F M Chastin
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, UK,Department of Sport and Movement Sciences, Ghent University, Belgium
| | - Dawn A Skelton
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, UK
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25
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De Cocker K, Chastin SFM, De Bourdeaudhuij I, Imbo I, Stragier J, Cardon G. Citizen Science to Communicate about Public Health Messages: The Reach of a Playful Online Survey on Sitting Time and Physical Activity. Health Commun 2019; 34:720-725. [PMID: 29412005 DOI: 10.1080/10410236.2018.1433955] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
There is a lack of research on how to communicate public health guidelines. Citizen science (CS) has been an effective way to involve the public in research. This study analyses the reach of a well-established CS experiment, launched during an annual national science event, to understand if it could be used as communication strategy for public health issues. A short playful online survey contained tailored health-related messages associated to an "animal totem" profile, based on the combination of sitting and physical activity levels (koala: high sitting, low activity; gorilla: high sitting, high activity; zebra: low sitting, low activity; bee: low sitting, high activity). Tweets, radio interviews, radio and online advertisements, press articles, and a press conference were used to promote the CS experiment. Google Analytics and Facebook Graph API (application programming interface) (use and spread of experiment) and descriptive statistics (attributes of adults completing the experiment) were used. A total of 6,246 adults completed the experiment, with a peak of views (n = 5,103) and completions (n = 1,209) a couple of days before the event. Completers were mostly female (65.8%), on average 37.5 years old, and had a healthy body mass index (23.8 kg/m2). Nearly half (46.4%) had the most beneficial profile ("bee"), 26.5% had the least healthy profile ("koala"). CS as part of a national science event is a good platform for health communication as 1 in 1,000 Flemish adults were reached. However, those completing the experiment were not representative of the general Flemish adult population and reported to be more physically active. Abbreviations: API: application programming interface; BMI: body mass index; CVD: cardiovascular disease; METs: metabolic equivalents.
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Affiliation(s)
| | - Sebastien F M Chastin
- b School of Health and Life Science , Institute for Applied Health Research, Glasgow Caledonian University
| | | | - Ineke Imbo
- c Department of Administrative Affairs , Ghent University
| | - Jeroen Stragier
- a Department of Movement and Sports Sciences , Ghent University
- d Media, Innovation and Communication Technologies, Department of Communication Sciences , Ghent University
| | - Greet Cardon
- a Department of Movement and Sports Sciences , Ghent University
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26
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Hendrickx W, Riveros C, Askim T, Bussmann JBJ, Callisaya ML, Chastin SFM, Dean CM, Ezeugwu VE, Jones TM, Kuys SS, Mahendran N, Manns TJ, Mead G, Moore SA, Paul L, Pisters MF, Saunders DH, Simpson DB, Tieges Z, Verschuren O, English C. Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies. Top Stroke Rehabil 2019; 26:327-334. [PMID: 31025908 DOI: 10.1080/10749357.2019.1601419] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke. Objective: This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke. Methods: For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data. The data was reprocessed, algorithms were created to identify sleep-wake time and determine the percentage of waking hours spent sedentary. We explored demographic and stroke-related factors associated with total sedentary time and time in uninterrupted sedentary bouts using unique, both univariable and multivariable, regression analyses. Results: The 274 included participants were from Australia, Canada, and the United Kingdom, and spent, on average, 69% (SD 12.4) of their waking hours sedentary. Of the demographic and stroke-related factors, slower walking speeds were significantly and independently associated with a higher percentage of waking hours spent sedentary (p = 0.001) and uninterrupted sedentary bouts of >30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11-19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.
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Affiliation(s)
- Wendy Hendrickx
- a Department of Rehablilitation, Physiotherapy Science & Sport, Brain Center Rudolf Magnus , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands.,b School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, Faculty of Health and Medicine , University of Newcastle , Newcastle , Australia.,c Center for Physical Therapy Research and Innovation in Primary Care , Julius Health Care Centers , Utrecht , The Netherlands
| | - Carlos Riveros
- d Bioinformatics , Hunter Medical Research Institute , Newcastle , Australia
| | - Torunn Askim
- e Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science , NTNU, Norwegian University of Science and Technology , Trondheim , Norway
| | - Johannes B J Bussmann
- f Department of Rehabilitation Medicine Erasmus , MC University Medical Center , Rotterdam , The Netherlands
| | - Michele L Callisaya
- g Menzies Institute for Medical Research , University of Tasmania , Hobart , Australia
| | - Sebastien F M Chastin
- h School of Health and Life Sciences , Glasgow Caledonian University , Glasgow , UK.,i Department of Movement and Sports Sciences, Faculty of Medicine and Health Science , Ghent University , Ghent , Belgium
| | - Catherine M Dean
- j Department of Health Professions, Faculty of Medicine and Health Sciences , Macquarie University , Sydney , Australia
| | - Victor E Ezeugwu
- k Faculty of Rehabilitation Medicine , University of Alberta , Edmonton , Canada
| | - Taryn M Jones
- j Department of Health Professions, Faculty of Medicine and Health Sciences , Macquarie University , Sydney , Australia
| | - Suzanne S Kuys
- l National Head, School of Physiotherapy , Faculty of Health Sciences Australian Catholic University , Brisbane , Australia
| | - Niruthikha Mahendran
- m Discipline of Physiotherapy, Faculty of Health , University of Canberra , Canberra , Australia
| | - Trish J Manns
- k Faculty of Rehabilitation Medicine , University of Alberta , Edmonton , Canada
| | - Gillian Mead
- n Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK
| | - Sarah A Moore
- o Stroke Research Group , Institute of Neuroscience and Newcastle University Institute for Ageing Newcastle University , UK
| | - Lorna Paul
- p School of Health and Life Sciences , Glasgow Caledonian University , Glasgow , UK
| | - Martijn F Pisters
- a Department of Rehablilitation, Physiotherapy Science & Sport, Brain Center Rudolf Magnus , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands.,c Center for Physical Therapy Research and Innovation in Primary Care , Julius Health Care Centers , Utrecht , The Netherlands
| | - David H Saunders
- q Physical Activity for Health Research Centre, Institute for Sport, Physical Education and Health Sciences , University of Edinburgh , Edinburgh , UK
| | - Dawn B Simpson
- g Menzies Institute for Medical Research , University of Tasmania , Hobart , Australia
| | - Zoë Tieges
- r Department of Geriatric Medicine , University of Edinburgh , Edinburgh , UK
| | - Olaf Verschuren
- s Brain Center Rudolf Magnus, Center of Excellence for Rehabilitation Medicine, De Hoogstraat Rehabilitation , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands
| | - Coralie English
- b School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, Faculty of Health and Medicine , University of Newcastle , Newcastle , Australia
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Rodríguez-Gómez I, Mañas A, Losa-Reyna J, Rodríguez-Mañas L, Chastin SFM, Alegre LM, García-García FJ, Ara I. The Impact of Movement Behaviors on Bone Health in Elderly with Adequate Nutritional Status: Compositional Data Analysis Depending on the Frailty Status. Nutrients 2019; 11:nu11030582. [PMID: 30857291 PMCID: PMC6472191 DOI: 10.3390/nu11030582] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 02/27/2019] [Accepted: 03/05/2019] [Indexed: 12/16/2022] Open
Abstract
The aim of this study was to determine the relationship between bone mass (BM) and physical activity (PA) and sedentary behavior (SB) according to frailty status and sex using compositional data analysis. We analyzed 871 older people with an adequate nutritional status. Fried criteria were used to classify by frailty status. Time spent in SB, light intensity PA (LPA) and moderate-to-vigorous intensity PA (MVPA) was assessed from accelerometry for 7 days. BM was determined by dual-energy X-ray absorptiometry (DXA). The combined effect of PA and SB was significantly associated with BM in robust men and women (p ≤ 0.05). In relation to the other behaviors, SB was negatively associated with BM in robust men while BM was positively associated with SB and negatively with LPA and MVPA in robust women. Moreover, LPA also was positively associated with arm BM (p ≤ 0.01). Finally, in pre-frail women, BM was positively associated with MVPA. In our sample, to decrease SB could be a good strategy to improve BM in robust men. In contrast, in pre-frail women, MVPA may be an important factor to consider regarding bone health.
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Affiliation(s)
- Irene Rodríguez-Gómez
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain.
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
| | - Asier Mañas
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain.
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
| | - José Losa-Reyna
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain.
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
- Geriatric Department, Hospital Virgen del Valle, 45071 Toledo, Spain.
| | - Leocadio Rodríguez-Mañas
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
- Geriatric Department, Hospital Universitario de Getafe, 28901 Getafe, Spain.
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow G1 1BX, UK.
- Department Movement and Sport Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Luis M Alegre
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain.
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
| | - Francisco J García-García
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
- Geriatric Department, Hospital Virgen del Valle, 45071 Toledo, Spain.
| | - Ignacio Ara
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain.
- CIBER of Frailty and Healthy Aging (CIBERFES), 28001 Madrid, Spain.
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Paing AC, McMillan KA, Kirk AF, Collier A, Hewitt A, Chastin SFM. Dose-response between frequency of interruption of sedentary time and fasting glucose, the dawn phenomenon and night-time glucose in Type 2 diabetes. Diabet Med 2019; 36:376-382. [PMID: 30264906 DOI: 10.1111/dme.13829] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/25/2018] [Indexed: 01/05/2023]
Abstract
AIM To explore the dose-response between frequency of interruption of sedentary time and basal glucose (fasting glucose, the dawn phenomenon and night-time glucose) in Type 2 diabetes. METHODS In a randomized three-treatment, two-period balanced incomplete block trial, 12 people with Type 2 diabetes (age, 60.0 ± 3.2 years; BMI, 30.2 ± 1.4 kg/m2 ) completed two of three conditions: sitting for 7 h interrupted every 60 min (Condition 1), 30 min (Condition 2), and 15 min (Condition 3) by 3-min light-intensity walking breaks. The activPAL3 and FreeStyle Libre were used to assess physical activity/sedentary behaviour and continuous glucose profile. Standardized meals were provided, and changes in basal glucose of the nights and early mornings before and after treatment conditions were calculated (mean ± SE). RESULTS After treatment conditions, fasting glucose and duration of the dawn phenomenon were lower for Condition 3 (-1.0 ± 0.2 mmol/l, P < 0.02; -3.1 ± 1.3 h, P = 0.004) compared with Condition 1 (-0.1 ± 0.2 mmol/l; 1.9 ± 1.2 h). The magnitude of the dawn phenomenon was reduced in Condition 3 (-0.6 ± 0.4 mmol/l, P = 0.041) compared with Condition 2 (0.6 ± 0.3 mmol/l). Night-time glycaemic variability (coefficient of variation) was reduced in Condition 3 (-9.7 ± 3.9%) relative to Condition 2 (6.1 ± 4.8%, P < 0.03) and Condition 1 (2.5 ± 1.8%, P = 0.02). There was no change in night-time mean glucose. CONCLUSIONS Frequent interruptions of prolonged sitting with 3 min of light-intensity walking breaks every 15 min improves fasting glucose, the dawn phenomenon and night-time glycaemic variability, and this might be a simple therapeutic intervention to improve glucose control. Clinicaltrials.gov Identifier: NCT02738996.
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Affiliation(s)
- A C Paing
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - K A McMillan
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - A F Kirk
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - A Collier
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - A Hewitt
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - S F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Science, Ghent University, Ghent, Belgium
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Giné-Garriga M, Sandlund M, Dall PM, Chastin SFM, Pérez S, Skelton DA. A Novel Approach to Reduce Sedentary Behaviour in Care Home Residents: The GET READY Study Utilising Service-Learning and Co-Creation. Int J Environ Res Public Health 2019; 16:E418. [PMID: 30717105 PMCID: PMC6388363 DOI: 10.3390/ijerph16030418] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 01/29/2019] [Accepted: 01/30/2019] [Indexed: 01/20/2023]
Abstract
The GET READY study aimed to integrate service-learning methodology into University degrees by offering students individual service opportunities with residential care homes, to co-create the best suited intervention to reduce the sedentary behaviour (SB) of residents throughout the day, with researchers, end-users, care staff, family members and policymakers. Eight workshops with care home residents and four workshops with care staff, relatives and policymakers, led by undergraduate students, were audiotaped, transcribed verbatim and analysed with inductive thematic analysis to understand views and preferences for sustainable strategies to reduce SB and increase movement of residents. Perspectives about SB and movement in care homes highlighted four subthemes. Assets for decreasing SB included three subthemes, and suggestions and strategies encapsulated four subthemes. There is a need to include end-users in decision making, and involve care staff and relatives in enhancing strategies to reduce SB among residents if we want sustainable changes in behaviour. A change in the culture at a policymaker and care staff's level could provide opportunities to open care homes to the community with regular activities outside the care home premises, and offer household chores and opportunities to give residents a role in maintaining their home environment.
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Affiliation(s)
- Maria Giné-Garriga
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK.
- Department of Physical Activity and Sport Sciences, Faculty of Psychology, Education and Sport Sciences (FPCEE) Blanquerna, Ramon Llull University, Císter 34, 08022 Barcelona, Spain.
| | - Marlene Sandlund
- Department of Community Medicine and Rehabilitation, Umeå University, 901 87 Umeå, Sweden.
| | - Philippa M Dall
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK.
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK.
- Department of Movement and Sport Science, Ghent University, St. Pietersnieuwstraat 33, 9000 Ghent, Belgium.
| | - Susana Pérez
- Department of Physical Activity and Sport Sciences, Faculty of Psychology, Education and Sport Sciences (FPCEE) Blanquerna, Ramon Llull University, Císter 34, 08022 Barcelona, Spain.
| | - Dawn A Skelton
- School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK.
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30
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Leask CF, Sandlund M, Skelton DA, Altenburg TM, Cardon G, Chinapaw MJM, De Bourdeaudhuij I, Verloigne M, Chastin SFM. Framework, principles and recommendations for utilising participatory methodologies in the co-creation and evaluation of public health interventions. Res Involv Engagem 2019; 5:2. [PMID: 30652027 PMCID: PMC6327557 DOI: 10.1186/s40900-018-0136-9] [Citation(s) in RCA: 169] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 12/10/2018] [Indexed: 05/23/2023]
Abstract
PLAIN ENGLISH SUMMARY Background: Society has to cope with a large burden of health issues. There is need to find solutions to prevent diseases and help individuals live healthier lifestyles. Individual needs and circumstances vary greatly and one size fit all solutions do not tend to work well. More tailored solutions centred on individuals' needs and circumstances can be developed in collaboration with these individuals. This process, known as co-creation, has shown promise but it requires guiding principles to improve its effectiveness. The aim of this study was to identify a key set of principles and recommendations for co-creating public health interventions.Methods: These principles were collaboratively developed through analysing a set of case studies targeting different health behaviours (such as reducing sitting and improving strength and balance) in different groups of people (such as adolescent schoolgirls and older adults living in the community).Results: The key principles of co-creation are presented in four stages: Planning (what is the purpose of the co-creation; and who should be involved?); Conducting (what activities can be used during co-creation; and how to ensure buy-in and commitment?); Evaluating (how do we know the process and the outcome are valid and effective?) and Reporting (how to report the findings?). Three models are proposed to show how co-created solutions can be scaled up to a population level.Conclusions: These recommendations aim to help the co-creation of public health interventions by providing a framework and governance to guide the process. ABSTRACT Background: Due to the chronic disease burden on society, there is a need for preventive public health interventions to stimulate society towards a healthier lifestyle. To deal with the complex variability between individual lifestyles and settings, collaborating with end-users to develop interventions tailored to their unique circumstances has been suggested as a potential way to improve effectiveness and adherence. Co-creation of public health interventions using participatory methodologies has shown promise but lacks a framework to make this process systematic. The aim of this paper was to identify and set key principles and recommendations for systematically applying participatory methodologies to co-create and evaluate public health interventions. Methods: These principles and recommendations were derived using an iterative reflection process, combining key learning from published literature in addition to critical reflection on three case studies conducted by research groups in three European institutions, all of whom have expertise in co-creating public health interventions using different participatory methodologies. Results: Key principles and recommendations for using participatory methodologies in public health intervention co-creation are presented for the stages of: Planning (framing the aim of the study and identifying the appropriate sampling strategy); Conducting (defining the procedure, in addition to manifesting ownership); Evaluating (the process and the effectiveness) and Reporting (providing guidelines to report the findings). Three scaling models are proposed to demonstrate how to scale locally developed interventions to a population level. Conclusions: These recommendations aim to facilitate public health intervention co-creation and evaluation utilising participatory methodologies by ensuring the process is systematic and reproducible.
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Affiliation(s)
- Calum F. Leask
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Applied Health Research, Glasgow, UK
- NHS Grampian, Health Intelligence Department, Aberdeen, UK
| | - Marlene Sandlund
- Department of Community Medicine and Rehabilitation, Umea University, Umea, Sweden
| | - Dawn A. Skelton
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Applied Health Research, Glasgow, UK
| | - Teatske M. Altenburg
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Greet Cardon
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Mai J. M. Chinapaw
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Maite Verloigne
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Sebastien F. M. Chastin
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Applied Health Research, Glasgow, UK
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - on behalf of the GrandStand, Safe Step and Teenage Girls on the Move Research Groups
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Applied Health Research, Glasgow, UK
- NHS Grampian, Health Intelligence Department, Aberdeen, UK
- Department of Community Medicine and Rehabilitation, Umea University, Umea, Sweden
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
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31
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Paing AC, Kirk AF, Collier A, Kubiak T, Chastin SFM. Are glucose profiles well-controlled within the targets recommended by the International diabetes Federation in type 2 diabetes? A meta-analysis of results from continuous glucose monitoring based studies. Diabetes Res Clin Pract 2018; 146:289-299. [PMID: 30399393 DOI: 10.1016/j.diabres.2018.10.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 09/05/2018] [Accepted: 10/16/2018] [Indexed: 12/13/2022]
Abstract
AIMS To assess continuous glucose monitoring (CGM) derived intra-day glucose profiles using global guideline for type 2 diabetes recommended by the International Diabetes Federation (IDF). METHODS The Cochrane Library, MEDLINE, PubMed, CINAHL and Science Direct were searched to identify observational studies reporting intra-day glucose profiles using CGM in people with type 2 diabetes on any anti-diabetes agents. Overall and subgroup analyses were conducted to summarise mean differences between reported glucose profiles (fasting glucose, pre-meal glucose, postprandial glucose and post-meal glucose spike/excursion) and the IDF targets. RESULTS Twelve observational studies totalling 731 people were included. Pooled fasting glucose (0.81 mmol/L, 95% CI, 0.53-1.09 mmol/L), postprandial glucose after breakfast (1.63 mmol/L, 95% CI, 0.79-2.48 mmol/L) and post-breakfast glucose spike (1.05 mmol/L, 95% CI, 0.13-1.96 mmol/L) were significantly higher than the IDF targets. Pre-lunch glucose, pre-dinner glucose and postprandial glucose after lunch and dinner were above the IDF targets but not significantly. Subgroup analysis showed significantly higher fasting glucose and postprandial glucose after breakfast in all groups: HbA1c <7% and ≥7% (53 mmol/mol) and duration of diabetes <10 years and ≥10 years. CONCLUSIONS Independent of HbA1c, fasting glucose and postprandial glucose after breakfast are not well-controlled in type 2 diabetes.
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Affiliation(s)
- Aye C Paing
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
| | - Alison F Kirk
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Andrew Collier
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Thomas Kubiak
- Health Psychology, Johannes Gutenberg University, Mainz, Germany
| | - Sebastien F M Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK; Department of Movement and Sports Science, Ghent University, Ghent, Belgium
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Rodríguez-Gómez I, Mañas A, Losa-Reyna J, Rodríguez-Mañas L, Chastin SFM, Alegre LM, García-García FJ, Ara I. Associations between sedentary time, physical activity and bone health among older people using compositional data analysis. PLoS One 2018; 13:e0206013. [PMID: 30346973 PMCID: PMC6197664 DOI: 10.1371/journal.pone.0206013] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 10/04/2018] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Aging is associated with a progressive decrease in bone mass (BM), and being physical active is one of the main strategies to combat this continuous loss. Nonetheless, because daily time is limited, time spent on each movement behavior is co-dependent. The aim of this study was to determine the relationship between BM and movement behaviors in elderly people using compositional data analysis. METHODS We analyzed 871 older people [395 men (76.9±5.3y) and 476 women (76.7±4.7y)]. Time spent in sedentary behavior (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA), was assessed using accelerometry. BM was determined by bone densitometry (DXA). The sample was divided according to sex and bone health indicators. RESULTS The combined effect of all movement behaviors (PA and SB) was significantly associated with whole body, leg and femoral region BM in the whole sample (p≤0.05), with leg and pelvic BM (p<0.05) in men and, with whole body, arm and leg BM (p<0.05) in women. In men, arm and pelvic BM were negatively associated with SB and whole body, pelvic and leg BM were positively associated with MVPA (p≤0.05). In women, whole body and leg BM were positively associated with SB. Arm and whole body BM were positively associated and leg BM was negatively associated with LPA and arm BM was negatively associated with MVPA (p≤0.05). Women without bone fractures spent less time in SB and more in LPA and MVPA than the subgroup with bone fractures. CONCLUSION We identified that the positive effect of MVPA relative to the other behaviors on bone mass is the strongest overall effect in men. Furthermore, women might decrease bone fracture risk through PA increase and SB reduction, despite the fact that no clear benefits of PA for bone mass were found.
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Affiliation(s)
| | - Asier Mañas
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, Spain
| | - José Losa-Reyna
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, Spain
- Geriatric Department, Virgen del Valle Hospital, Toledo, Spain
| | - Leocadio Rodríguez-Mañas
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- Geriatric Department, University Hospital of Getafe, Getafe, Spain
| | - Sebastien F. M. Chastin
- Glasgow Caledonian University, School of Health and Life Sciences, Glasgow, United Kingdom
- Ghent University, Department Movement and Sport Sciences, Ghent, Belgium
| | - Luis M. Alegre
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, Spain
| | - Francisco J. García-García
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- Geriatric Department, Virgen del Valle Hospital, Toledo, Spain
| | - Ignacio Ara
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, Spain
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Compernolle S, Van Dyck D, De Cocker K, Palarea-Albaladejo J, De Bourdeaudhuij I, Cardon G, Chastin SFM. Differences in Context-Specific Sedentary Behaviors According to Weight Status in Adolescents, Adults and Seniors: A Compositional Data Analysis. Int J Environ Res Public Health 2018; 15:E1916. [PMID: 30177645 PMCID: PMC6163347 DOI: 10.3390/ijerph15091916] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 08/28/2018] [Accepted: 08/30/2018] [Indexed: 12/19/2022]
Abstract
To develop effective sedentary behavior interventions aimed at people who are overweight/obese, detailed insight is needed into the contexts of sedentary behavior of these people. Therefore, the aims of this study were to describe the composition of sedentary behavior and to compare context-specific sedentary behaviors between different weight groups. Cross-sectional data were used from a study conducted in 2013⁻2014 among a Flemish sample of adolescents (n = 513), adults (n = 301), and seniors (n = 258). Sixteen context-specific sedentary behaviors were assessed using a validated questionnaire during the week and weekend. Compositional descriptive statistics were performed to determine the relative contribution of context-specific sedentary behaviors in the three age groups. Compositional multivariate analysis of covariance and pairwise comparisons were conducted to examine weight group differences in context-specific sedentary behaviors. The compositional means indicated that the highest proportion of sedentary time was spent at school, at work, and while watching television. Statistically significant differences were found in the composition of sedentary behaviors between healthy weight and overweight/obese participants. In all age groups, socially engaging sedentary behaviors were more prevalent in healthy weight people, whereas socially disengaging behaviors were more prevalent in overweight/obese people. Consequently, the findings of this study suggest that future overweight/obesity interventions should no longer focus on total sedentary time, as not all context-specific sedentary behaviors are associated with overweight/obesity. Instead, it might be better to target specific contexts of sedentary behaviors-preferably those less socially engaging-when aiming to reduce overweight/obesity.
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Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Delfien Van Dyck
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
- Research Foundation Flanders (FWO), 1000 Brussels, Belgium.
| | - Katrien De Cocker
- Physically Active Lifestyles Research Group, Institute for Resilient Regions, University of Southern Queensland, Springfield, QLD 4300, Australia.
| | | | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Greet Cardon
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Sebastien F M Chastin
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
- School of Health and Life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow G12, UK.
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34
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McGregor DE, Carson V, Palarea-Albaladejo J, Dall PM, Tremblay MS, Chastin SFM. Compositional Analysis of the Associations between 24-h Movement Behaviours and Health Indicators among Adults and Older Adults from the Canadian Health Measure Survey. Int J Environ Res Public Health 2018; 15:E1779. [PMID: 30126215 PMCID: PMC6121426 DOI: 10.3390/ijerph15081779] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 08/10/2018] [Accepted: 08/14/2018] [Indexed: 11/30/2022]
Abstract
This study investigated the association between the allocation of time-use over the 24-h day between sleep, sedentary behaviour (SB), light-intensity physical activity (LPA) and moderate-to-vigorous-intensity physical activity (MVPA)) and health indicators. A cross-sectional analysis of Canadian Health Measures Survey data was undertaken using compositional data analysis. SB, LPA and MVPA were derived from Actical accelerometers, whilst sleep was self-reported by respondents. The analysis was stratified by age; adults (aged 18⁻64 years; n = 6322) and older adults (65⁻79 years; n = 1454). For adults, beneficial associations were observed between larger proportions of MVPA relative to time in other behaviours and body mass index (BMI), waist circumference, aerobic fitness, resting heart rate, high-density lipoprotein (HDL) cholesterol, triglycerides, blood glucose and insulin levels. More time spent in sleep relative to other movement behaviours was deleteriously associated with aerobic fitness, HDL cholesterol, insulin, C-reactive proteins and grip strength but beneficially with low-density lipoprotein cholesterol. Relative time spent in LPA was deleteriously associated with BMI and beneficially with triglycerides and grip strength. In older adults, these associations were blunted or disappeared but larger proportions of MVPA were associated with better mental health. The importance to health of MVPA when explicitly considered relative to other movement behaviours was confirmed.
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Affiliation(s)
- Duncan E McGregor
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, Scotland, UK.
- Biomathematics and Statistics Scotland, JCMB, The King's Buildings, Peter Guthrie Tait Road, Edinburgh EH9 3FD, Scotland, UK..
| | - Valerie Carson
- Faculty of Kinesiology, Sport, and Recreation, 1-151 Van Vliet Complex, University of Alberta, Edmonton, AB T6G 2H9, Canada.
| | - Javier Palarea-Albaladejo
- Biomathematics and Statistics Scotland, JCMB, The King's Buildings, Peter Guthrie Tait Road, Edinburgh EH9 3FD, Scotland, UK..
| | - Philippa M Dall
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, Scotland, UK.
| | - Mark S Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, 401 Smyth Road, Ottawa, ON K1H 8L1, Canada.
| | - Sebastien F M Chastin
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, Scotland, UK.
- Department of Movement and Sport Science, Ghent University, 9000 Ghent, Belgium.
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35
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Chastin SFM, De Craemer M, De Cocker K, Powell L, Van Cauwenberg J, Dall P, Hamer M, Stamatakis E. How does light-intensity physical activity associate with adult cardiometabolic health and mortality? Systematic review with meta-analysis of experimental and observational studies. Br J Sports Med 2018; 53:370-376. [PMID: 29695511 PMCID: PMC6579499 DOI: 10.1136/bjsports-2017-097563] [Citation(s) in RCA: 219] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2018] [Indexed: 12/27/2022]
Abstract
Aim To assess the relationship between time spent in light physical activity and cardiometabolic health and mortality in adults. Design Systematic review and meta-analysis. Data sources Searches in Medline, Embase, PsycInfo, CINAHL and three rounds of hand searches. Eligibility criteria for selecting studies Experimental (including acute mechanistic studies and physical activity intervention programme) and observational studies (excluding case and case–control studies) conducted in adults (aged ≥18 years) published in English before February 2018 and reporting on the relationship between light physical activity (<3 metabolic equivalents) and cardiometabolic health outcomes or all-cause mortality. Study appraisal and synthesis Study quality appraisal with QUALSYST tool and random effects inverse variance meta-analysis. Results Seventy-two studies were eligible including 27 experimental studies (and 45 observational studies). Mechanistic experimental studies showed that short but frequent bouts of light-intensity activity throughout the day reduced postprandial glucose (−17.5%; 95% CI −26.2 to −8.7) and insulin (−25.1%; 95% CI −31.8 to –18.3) levels compared with continuous sitting, but there was very limited evidence for it affecting other cardiometabolic markers. Three light physical activity programme intervention studies (n ranging from 12 to 58) reduced adiposity, improved blood pressure and lipidaemia; the programmes consisted of activity of >150 min/week for at least 12 weeks. Six out of eight prospective observational studies that were entered in the meta-analysis reported that more time spent in daily light activity reduced risk of all-cause mortality (pooled HR 0.71; 95% CI 0.62 to 0.83). Conclusions Light-intensity physical activity could play a role in improving adult cardiometabolic health and reducing mortality risk. Frequent short bouts of light activity improve glycaemic control. Nevertheless, the modest volume of the prospective epidemiological evidence base and the moderate consistency between observational and laboratory evidence inhibits definitive conclusions.
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Affiliation(s)
- Sebastien F M Chastin
- School of Health and Life Science, Institute for Applied Health Research, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - Marieke De Craemer
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - Katrien De Cocker
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium.,Research Foundation Flanders, Brussels, Belgium.,Institute for Resilient Regions, University of Southern Queensland, Toowoomba, Queensland, Australia
| | - Lauren Powell
- Epidemiology Unit, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,Prevention Research Collaboration, School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Jelle Van Cauwenberg
- Research Foundation Flanders, Brussels, Belgium.,Department of Public Health, Ghent University, Ghent, Belgium
| | - Philippa Dall
- School of Health and Life Science, Institute for Applied Health Research, Glasgow Caledonian University, Glasgow, UK
| | - Mark Hamer
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Emmanuel Stamatakis
- Epidemiology Unit, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,Prevention Research Collaboration, School of Public Health, University of Sydney, Sydney, New South Wales, Australia
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Dontje ML, Dall PM, Skelton DA, Gill JMR, Chastin SFM. Reliability, minimal detectable change and responsiveness to change: Indicators to select the best method to measure sedentary behaviour in older adults in different study designs. PLoS One 2018; 13:e0195424. [PMID: 29649234 PMCID: PMC5896945 DOI: 10.1371/journal.pone.0195424] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 02/26/2018] [Indexed: 12/03/2022] Open
Abstract
Introduction Prolonged sedentary behaviour (SB) is associated with poor health. It is unclear which SB measure is most appropriate for interventions and population surveillance to measure and interpret change in behaviour in older adults. The aims of this study: to examine the relative and absolute reliability, Minimal Detectable Change (MDC) and responsiveness to change of subjective and objective methods of measuring SB in older adults and give recommendations of use for different study designs. Methods SB of 18 older adults (aged 71 (IQR 7) years) was assessed using a systematic set of six subjective tools, derived from the TAxonomy of Self report Sedentary behaviour Tools (TASST), and one objective tool (activPAL3c), over 14 days. Relative reliability (Intra Class Correlation coefficients-ICC), absolute reliability (SEM), MDC, and the relative responsiveness (Cohen’s d effect size (ES) and Guyatt’s Responsiveness coefficient (GR)) were calculated for each of the different tools and ranked for different study designs. Results ICC ranged from 0.414 to 0.946, SEM from 36.03 to 137.01 min, MDC from 1.66 to 8.42 hours, ES from 0.017 to 0.259 and GR from 0.024 to 0.485. Objective average day per week measurement ranked as most responsive in a clinical practice setting, whereas a one day measurement ranked highest in quasi-experimental, longitudinal and controlled trial study designs. TV viewing–Previous Week Recall (PWR) ranked as most responsive subjective measure in all study designs. Conclusions The reliability, Minimal Detectable Change and responsiveness to change of subjective and objective methods of measuring SB is context dependent. Although TV viewing-PWR is the more reliable and responsive subjective method in most situations, it may have limitations as a reliable measure of total SB. Results of this study can be used to guide choice of tools for detecting change in sedentary behaviour in older adults in the contexts of population surveillance, intervention evaluation and individual care.
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Affiliation(s)
- Manon L. Dontje
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Philippa M. Dall
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
- * E-mail:
| | - Dawn A. Skelton
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Jason M. R. Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Sebastien F. M. Chastin
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
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Harvey JA, Chastin SFM, Skelton DA. Breaking sedentary behaviour has the potential to increase/ maintain function in frail older adults. J Frailty Sarcopenia Falls 2018; 3:26-31. [PMID: 32300691 PMCID: PMC7155349 DOI: 10.22540/jfsf-03-026] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2018] [Indexed: 11/13/2022] Open
Abstract
Objectives: This pilot study aimed to evaluate the effect of a sedentary behaviour (SB) reduction intervention (Stomp Out (Prolonged) Sitting (SOS)) in frail older adults. Methods: Participants (>65years) were recruited from sheltered housing complexes and randomized into 2 groups. On weeks 2, 6 and 10 both groups had face-to-face 40min motivational sessions, including feedback on physical function and SB. One group had the addition of real-time tactile feedback on sitting. Total sedentary time and patterns of SB were recorded by activPAL, along with validated measures of function: Timed Up and Go (TUG), Sit-to-Stand (STS) and balance tests. Outcomes were analyzed by intention-to-treat mixed model analysis. Results: Twenty-three participants started the SOS intervention. Health issues led to high attrition in this frail population. TUG (4 seconds faster) and STS (>2 rises more in 30 seconds) scores improved significantly in both groups. There were no significant changes in SB parameters. Conclusion: Motivational interviewing alongside functional test feedback, visual and real-time feedback on SB improved physical function over the study. This pilot study suggests that sit-to-stand transitions to break prolonged sitting time may help reduce frailty and functional decline in people who are often unable to engage in more intense exercise interventions.
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Affiliation(s)
- Juliet A Harvey
- Institute of Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK
| | - Sebastien F M Chastin
- Institute of Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK
| | - Dawn A Skelton
- Institute of Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK
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Čukić I, Shaw R, Der G, Chastin SFM, Dontje ML, Gill JMR, Starr JM, Skelton DA, Radaković R, Cox SR, Dall PM, Gale CR, Deary IJ. Cognitive ability does not predict objectively measured sedentary behavior: Evidence from three older cohorts. Psychol Aging 2018; 33:288-296. [PMID: 29658748 PMCID: PMC5900579 DOI: 10.1037/pag0000221] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 10/25/2017] [Accepted: 10/27/2017] [Indexed: 01/01/2023]
Abstract
Higher cognitive ability is associated with being more physically active. Much less is known about the associations between cognitive ability and sedentary behavior. Ours is the first study to examine whether historic and contemporaneous cognitive ability predicts objectively measured sedentary behavior in older age. Participants were drawn from 3 cohorts (Lothian Birth Cohort, 1936 [LBC1936] [n = 271]; and 2 West of Scotland Twenty-07 cohorts: 1950s [n = 310] and 1930s [n = 119]). Regression models were used to assess the associations between a range of cognitive tests measured at different points in the life course, with sedentary behavior in older age recorded over 7 days. Prior simple reaction time (RT) was significantly related to later sedentary time in the youngest, Twenty-07 1950s cohort (p = .04). The relationship was nonsignificant after controlling for long-standing illness or employment status, or after correcting for multiple comparisons in the initial model. None of the cognitive measures were related to sedentary behavior in either of the 2 older cohorts (LBC1936, Twenty-07 1930s). There was no association between any of the cognitive tests and the number of sit-to-stand transitions in any of the 3 cohorts. The meta-analytic estimates for the measures of simple and choice RT that were identical in all cohorts (n = 700) were also not significant. In conclusion, we found no evidence that objectively measured sedentary time in older adults is associated with measures of cognitive ability at different time points in life, including cognitive change from childhood to older age. (PsycINFO Database Record
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Affiliation(s)
- Iva Čukić
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
| | - Richard Shaw
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow
| | - Geoff Der
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
| | - Sebastien F M Chastin
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University
| | - Manon L Dontje
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University
| | - Jason M R Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
| | - Dawn A Skelton
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University
| | - Ratko Radaković
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
| | - Philippa M Dall
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh
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Chastin SFM, Dontje ML, Skelton DA, Čukić I, Shaw RJ, Gill JMR, Greig CA, Gale CR, Deary IJ, Der G, Dall PM. Systematic comparative validation of self-report measures of sedentary time against an objective measure of postural sitting (activPAL). Int J Behav Nutr Phys Act 2018; 15:21. [PMID: 29482617 PMCID: PMC5828279 DOI: 10.1186/s12966-018-0652-x] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 02/09/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Sedentary behaviour is a public health concern that requires surveillance and epidemiological research. For such large scale studies, self-report tools are a pragmatic measurement solution. A large number of self-report tools are currently in use, but few have been validated against an objective measure of sedentary time and there is no comparative information between tools to guide choice or to enable comparison between studies. The aim of this study was to provide a systematic comparison, generalisable to all tools, of the validity of self-report measures of sedentary time against a gold standard sedentary time objective monitor. METHODS Cross sectional data from three cohorts (N = 700) were used in this validation study. Eighteen self-report measures of sedentary time, based on the TAxonomy of Self-report SB Tools (TASST) framework, were compared against an objective measure of postural sitting (activPAL) to provide information, generalizable to all existing tools, on agreement and precision using Bland-Altman statistics, on criterion validity using Pearson correlation, and on data loss. RESULTS All self-report measures showed poor accuracy compared with the objective measure of sedentary time, with very wide limits of agreement and poor precision (random error > 2.5 h). Most tools under-reported total sedentary time and demonstrated low correlations with objective data. The type of assessment used by the tool, whether direct, proxy, or a composite measure, influenced the measurement characteristics. Proxy measures (TV time) and single item direct measures using a visual analogue scale to assess the proportion of the day spent sitting, showed the best combination of precision and data loss. The recall period (e.g. previous week) had little influence on measurement characteristics. CONCLUSION Self-report measures of sedentary time result in large bias, poor precision and low correlation with an objective measure of sedentary time. Choice of tool depends on the research context, design and question. Choice can be guided by this systematic comparative validation and, in the case of population surveillance, it recommends to use a visual analog scale and a 7 day recall period. Comparison between studies and improving population estimates of average sedentary time, is possible with the comparative correction factors provided.
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Affiliation(s)
- S F M Chastin
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK.
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium.
| | - M L Dontje
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - D A Skelton
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK
| | - I Čukić
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - R J Shaw
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - J M R Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - C A Greig
- School of Sport, Exercise and Rehabilitation Sciences and MRC-Arthritis Research UK Centre for Musculoskeletal Ageing and Health, University of Birmingham, Birmingham, UK
| | - C R Gale
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - I J Deary
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - G Der
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - P M Dall
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK
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Holdsworth M, Nicolaou M, Langøien LJ, Osei-Kwasi HA, Chastin SFM, Stok FM, Capranica L, Lien N, Terragni L, Monsivais P, Mazzocchi M, Maes L, Roos G, Mejean C, Powell K, Stronks K. Developing a systems-based framework of the factors influencing dietary and physical activity behaviours in ethnic minority populations living in Europe - a DEDIPAC study. Int J Behav Nutr Phys Act 2017; 14:154. [PMID: 29115995 PMCID: PMC5678802 DOI: 10.1186/s12966-017-0608-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Accepted: 10/24/2017] [Indexed: 12/20/2022] Open
Abstract
Background Some ethnic minority populations have a higher risk of non-communicable diseases than the majority European population. Diet and physical activity behaviours contribute to this risk, shaped by a system of inter-related factors. This study mapped a systems-based framework of the factors influencing dietary and physical activity behaviours in ethnic minority populations living in Europe, to inform research prioritisation and intervention development. Methods A concept mapping approach guided by systems thinking was used: i. Preparation (protocol and terminology); ii. Generating a list of factors influencing dietary and physical activity behaviours in ethnic minority populations living in Europe from evidence (systematic mapping reviews) and ‘eminence’ (89 participants from 24 academic disciplines via brainstorming, an international symposium and expert review) and; iii. Seeking consensus on structuring, rating and clustering factors, based on how they relate to each other; and iv. Interpreting/utilising the framework for research and interventions. Similar steps were undertaken for frameworks developed for the majority European population. Results Seven distinct clusters emerged for dietary behaviour (containing 85 factors) and 8 for physical activity behaviours (containing 183 factors). Four clusters were similar across behaviours: Social and cultural environment; Social and material resources; Psychosocial; and Migration context. Similar clusters of factors emerged in the frameworks for diet and physical activity behaviours of the majority European population, except for ‘migration context’. The importance of factors across all clusters was acknowledged, but their relative importance differed for ethnic minority populations compared with the majority population. Conclusions This systems-based framework integrates evidence from both expert opinion and published literature, to map the factors influencing dietary and physical activity behaviours in ethnic minority groups. Our findings illustrate that innovative research and complex interventions need to be developed that are sensitive to the needs of ethnic minority populations. A systems approach that encompasses the complexity of the inter-related factors that drive behaviours may inform a more holistic public health paradigm to more effectively reach ethnic minorities living in Europe, as well as the majority host population. Electronic supplementary material The online version of this article (10.1186/s12966-017-0608-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Michelle Holdsworth
- Public Health Section, School of Health and Related Research-ScHARR, The University of Sheffield, Sheffield, UK.
| | - Mary Nicolaou
- Academic Medical Centre, University of Amsterdam, Department of Public Health, Amsterdam Public Health research Institute, Amsterdam, The Netherlands
| | - Lars Jørun Langøien
- Department of Physical Education, Norwegian School of Sport Sciences, Oslo, Norway
| | - Hibbah Araba Osei-Kwasi
- Public Health Section, School of Health and Related Research-ScHARR, The University of Sheffield, Sheffield, UK
| | - Sebastien F M Chastin
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK
| | - F Marijn Stok
- Department of Psychological Assessment and Health Psychology, University of Konstanz, Constance, Germany
| | - Laura Capranica
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
| | - Nanna Lien
- Department of Nutrition, University of Oslo, Oslo, Norway
| | - Laura Terragni
- Department of Nursing and Health Promotion Faculty of Health Sciences, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Pablo Monsivais
- UKCRC Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.,Present address: Department of Nutrition and Exercise Physiology, Elson S Floyd College of Medicine, Washington State University, Spokane, WA 99210-1495, USA
| | - Mario Mazzocchi
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Lea Maes
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Gun Roos
- Consumption Research Norway SIFO, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Caroline Mejean
- UMR MOISA, Campus INRA-SupAgro de la Gaillarde, Montpellier, France
| | - Katie Powell
- Public Health Section, School of Health and Related Research-ScHARR, The University of Sheffield, Sheffield, UK
| | - Karien Stronks
- Academic Medical Centre, University of Amsterdam, Department of Public Health, Amsterdam Public Health research Institute, Amsterdam, The Netherlands
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Compernolle S, Busschaert C, De Bourdeaudhuij I, Cardon G, Chastin SFM, Van Cauwenberg J, De Cocker K. Cross-Sectional Associations between Home Environmental Factors and Domain-Specific Sedentary Behaviors in Adults: The Moderating Role of Socio-Demographic Variables and BMI. Int J Environ Res Public Health 2017; 14:ijerph14111329. [PMID: 29088089 PMCID: PMC5707968 DOI: 10.3390/ijerph14111329] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 10/27/2017] [Accepted: 10/29/2017] [Indexed: 11/16/2022]
Abstract
Despite the negative health effects of too much sitting, the majority of adults are too sedentary. To develop effective interventions, insight is needed into home environmental correlates of adults' sedentary behaviors, and into the susceptibility of population subgroups to these home environmental cues. In total, 559 Flemish adults reported socio-demographics, weight and height, home environmental factors and domain-specific sedentary behaviors. Generalized linear modeling was conducted to examine main associations between home environmental factors and domain-specific sedentary behaviors, and to test the moderating role of socio-demographics and BMI on these associations. In case of significant interactions, stratified analyses were performed. Results showed that, among those who did use a computer/laptop during the last week, a one-unit increase in the number of computers or laptops was associated with 17% (OR = 1.17; 95% CI = 1.02, 1.34) and 24% (OR = 1.24; 95% CI = 1.08, 1.43) more minutes computer time per day, respectively. The proximity of the remote controller (p < 0.001) and the number of televisions (p = 0.03) were positively associated with television time, and the number of motorized vehicles (95% CI = 0.001, 0.12) was positively associated with the odds of participation in transport-related sitting time. The latter two associations were moderated by BMI, with significant positive associations limited to those not overweight. To conclude, home environmental factors were associated with domain-specific sedentary behaviors, especially in healthy weight adults. If confirmed by longitudinal studies, public health professionals should encourage adults to limit the number of indoor entertainment devices and motorized vehicles.
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Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Cedric Busschaert
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Greet Cardon
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Sebastien F M Chastin
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
- School of Health and Life Science, Institute of Applied Health Research, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK.
| | - Jelle Van Cauwenberg
- Research Foundation Flanders (FWO), 1000 Brussels, Belgium.
- Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Katrien De Cocker
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
- Research Foundation Flanders (FWO), 1000 Brussels, Belgium.
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Bellettiere J, Winkler EAH, Chastin SFM, Kerr J, Owen N, Dunstan DW, Healy GN. Associations of sitting accumulation patterns with cardio-metabolic risk biomarkers in Australian adults. PLoS One 2017; 12:e0180119. [PMID: 28662164 PMCID: PMC5491133 DOI: 10.1371/journal.pone.0180119] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 06/11/2017] [Indexed: 01/30/2023] Open
Abstract
Background High amounts of time spent sitting can increase cardiovascular disease risk and are deleteriously associated cardio-metabolic risk biomarkers. Though evidence suggests that accruing sitting time in prolonged periods may convey additional risk, verification using high-quality measures is needed. We examined this issue in adults from the Australian Diabetes, Obesity and Lifestyle Study, using accurate measures of sitting accumulation. Methods In 2011/12, 739 adults aged 36 to 89 years (mean±SD 58±10 years) wore activPAL3™ monitors (which provide accurate objective measures of sitting); 678 provided ≥4 valid days of monitor data and complete cardio-metabolic biomarker and confounder data. Multivariable linear regression models examined associations of sitting time, sitting time accrued in ≥30 minute bouts (prolonged sitting time), and three measures of sitting accumulation patterns with cardio-metabolic risk markers: body mass index (BMI), waist circumference, blood pressure, high- and low- density lipoprotein (HDL and LDL) cholesterol, triglycerides, glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and 2-hour post-load glucose (PLG). Interactions tests examined whether associations of sitting time with biomarkers varied by usual sitting bout duration. Results Adjusted for potential confounders, greater amounts of sitting time and prolonged sitting time were significantly (p<0.05) deleteriously associated with BMI, waist circumference, HDL cholesterol, and triglycerides. Total sitting time was also significantly associated with higher PLG. Sitting accumulation patterns of frequently interrupted sitting (compared to patterns with relatively more prolonged sitting) were significantly beneficially associated with BMI, waist circumference, HDL cholesterol, triglycerides, PLG, and with FPG. Effect sizes were typically larger for accumulation patterns than for sitting time. Significant interactions (p<0.05) showed that associations of sitting time with HDL, triglycerides and PLG became more deleterious the longer at a time sitting was usually accumulated. Conclusions Adding to previous evidence reliant on low-quality measures, our study showed that accumulating sitting in patterns where sitting was most frequently interrupted had significant beneficial associations with several cardio-metabolic biomarkers and that sitting for prolonged periods at a time may exacerbate some of the effects of sitting time. The findings support sedentary behavior guidelines that promote reducing and regularly interrupting sitting.
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Affiliation(s)
- John Bellettiere
- San Diego State University/University of California, San Diego | Joint Doctoral Program in Public Health (Epidemiology), San Diego, California, United States of America
- Center for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
- * E-mail:
| | | | - Sebastien F. M. Chastin
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Gent, East Flanders, Belgium
| | - Jacqueline Kerr
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Neville Owen
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Swinburne University of Technology, Melbourne, Victoria, Australia
| | - David W. Dunstan
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Mary McKillop Institute of Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Genevieve N. Healy
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Physiotherapy, Curtin University, Perth, Western Australia, Australia
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Shaw RJ, Čukić I, Deary IJ, Gale CR, Chastin SFM, Dall PM, Dontje ML, Skelton DA, Macdonald L, Der G. The Influence of Neighbourhoods and the Social Environment on Sedentary Behaviour in Older Adults in Three Prospective Cohorts. Int J Environ Res Public Health 2017; 14:E557. [PMID: 28538672 PMCID: PMC5486243 DOI: 10.3390/ijerph14060557] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 05/09/2017] [Accepted: 05/18/2017] [Indexed: 12/19/2022]
Abstract
Sedentary behaviour is an emerging risk factor for poor health. This study aimed to identify ecological determinants of sedentary behaviour, for which evidence is currently scarce. The study participants were community dwelling adults from, respectively, the Lothian Birth Cohort 1936 (n = 271, mean age 79) and the 1930s (n = 119, mean age 83) and 1950s (n = 310, mean age 64) cohorts of the West of Scotland Twenty-07 study. The outcome measure, percentage of waking time spent sedentary (sedentary time), was measured using an activPAL activity monitor worn continuously for seven days. Potential determinants included objective and subjective neighbourhood measures such as natural space, crime, social cohesion and fear of crime. Other determinants included measures of social participation such as social support, social group membership and providing care. Results from multivariable regression analyses indicated that providing care was associated with reduced sedentary time in retired participants in all cohorts. Fear of crime and perceived absence of services were associated with increased sedentary time for retired 1950s cohort members. Higher crime rates were associated with increased sedentary time in all cohorts but this was not significant after adjustment for socio-demographic characteristics. Most other neighbourhood and social participation measures showed no association with sedentary time.
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Affiliation(s)
- Richard J Shaw
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, UK.
| | - Iva Čukić
- Department of Psychology Centre for Cognitive Ageing & Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
| | - Ian J Deary
- Department of Psychology Centre for Cognitive Ageing & Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
| | - Catharine R Gale
- Department of Psychology Centre for Cognitive Ageing & Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton S016 6YD, UK.
| | - Sebastien F M Chastin
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK.
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent 9000, Belgium.
| | - Philippa M Dall
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK.
| | - Manon L Dontje
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK.
- School of Population and Global Health, University of Western Australia, Perth 6009, Australia.
| | - Dawn A Skelton
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK.
| | - Laura Macdonald
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, UK.
| | - Geoff Der
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, UK.
- Department of Psychology Centre for Cognitive Ageing & Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
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Carson V, Tremblay MS, Chaput JP, Chastin SFM. Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Appl Physiol Nutr Metab 2017; 41:S294-302. [PMID: 27306435 DOI: 10.1139/apnm-2016-0026] [Citation(s) in RCA: 218] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6-17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p < 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p < 0.04) and time spent in MVPA or sleep was negatively associated (p < 0.02) with obesity risk markers. Similarly, LPA was positively associated (p < 0.005) and sleep was negatively associated (p < 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p < 0.001) and time spent in MVPA (p < 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations.
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Affiliation(s)
- Valerie Carson
- a Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB T6G 2H9, Canada
| | - Mark S Tremblay
- b Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Jean-Philippe Chaput
- b Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Sebastien F M Chastin
- c Institute for Applied Health Research, School of Health and Social Care, Glasgow Caledonian University, Glasgow G4 0BA, UK
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Wijndaele K, Westgate K, Stephens SK, Blair SN, Bull FC, Chastin SFM, Dunstan DW, Ekelund U, Esliger DW, Freedson PS, Granat MH, Matthews CE, Owen N, Rowlands AV, Sherar LB, Tremblay MS, Troiano RP, Brage S, Healy GN. Utilization and Harmonization of Adult Accelerometry Data: Review and Expert Consensus. Med Sci Sports Exerc 2016; 47:2129-39. [PMID: 25785929 PMCID: PMC4731236 DOI: 10.1249/mss.0000000000000661] [Citation(s) in RCA: 178] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE This study aimed to describe the scope of accelerometry data collected internationally in adults and to obtain a consensus from measurement experts regarding the optimal strategies to harmonize international accelerometry data. METHODS In March 2014, a comprehensive review was undertaken to identify studies that collected accelerometry data in adults (sample size, n ≥ 400). In addition, 20 physical activity experts were invited to participate in a two-phase Delphi process to obtain consensus on the following: unique research opportunities available with such data, additional data required to address these opportunities, strategies for enabling comparisons between studies/countries, requirements for implementing/progressing such strategies, and value of a global repository of accelerometry data. RESULTS The review identified accelerometry data from more than 275,000 adults from 76 studies across 36 countries. Consensus was achieved after two rounds of the Delphi process; 18 experts participated in one or both rounds. The key opportunities highlighted were the ability for cross-country/cross-population comparisons and the analytic options available with the larger heterogeneity and greater statistical power. Basic sociodemographic and anthropometric data were considered a prerequisite for this. Disclosure of monitor specifications and protocols for data collection and processing were deemed essential to enable comparison and data harmonization. There was strong consensus that standardization of data collection, processing, and analytical procedures was needed. To implement these strategies, communication and consensus among researchers, development of an online infrastructure, and methodological comparison work were required. There was consensus that a global accelerometry data repository would be beneficial and worthwhile. CONCLUSIONS This foundational resource can lead to implementation of key priority areas and identification of future directions in physical activity epidemiology, population monitoring, and burden of disease estimates.
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Affiliation(s)
- Katrien Wijndaele
- 1MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM; 2School of Public Health, University of Queensland, Queensland, AUSTRALIA; 3Department of Exercise Science, University of South Carolina, Columbia, SC; 4Schools of Earth and Environment and Sports Science Exercise and Health, University of Western Australia, Western Australia, AUSTRALIA; 5School of Health and Life Science, Glasgow Caledonian University, Scotland, UNITED KINGDOM; 6Baker IDI Heart and Diabetes Institute, Melbourne, AUSTRALIA; 7Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, NORWAY; 8National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UNITED KINGDOM; 9School of Health Sciences, University of South Australia, South Australia, AUSTRALIA; 10Department of Kinesiology, University of Massachusetts, Amherst, MA; 11School of Health Sciences, University of Salford, Manchester, UNITED KINGDOM; 12Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD; 13The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicestershire, UNITED KINGDOM; 14Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute; Department of Pediatrics, University of Ottawa, Ottawa, CANADA; and 15Risk Factor Assessment Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
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Harvey JA, Skelton DA, Chastin SFM. Acceptability of Novel Life Logging Technology to Determine Context of Sedentary Behavior in Older Adults. AIMS Public Health 2016; 3:158-171. [PMID: 29546154 PMCID: PMC5690271 DOI: 10.3934/publichealth.2016.1.158] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 03/23/2016] [Indexed: 11/18/2022] Open
Abstract
Objective Lifelogging, using body worn sensors (activity monitors and time lapse photography) has the potential to shed light on the context of sedentary behaviour. The objectives of this study were to examine the acceptability, to older adults, of using lifelogging technology and indicate its usefulness for understanding behaviour. Method 6 older adults (4 males, mean age: 68yrs) wore the equipment (ActivPAL™ and Vicon Revue™/SenseCam™) for 7 consecutive days during free-living activity. The older adults' perception of the lifelogging technology was assessed through semi-structured interviews, including a brief questionnaire (Likert scale), and reference to the researcher's diary. Results Older adults in this study found the equipment acceptable to wear and it did not interfere with privacy, safety or create reactivity, but they reported problems with the actual technical functioning of the camera. Conclusion This combination of sensors has good potential to provide lifelogging information on the context of sedentary behaviour.
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Affiliation(s)
- Juliet A Harvey
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Allied Health Research, Glasgow, UK
| | - Dawn A Skelton
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Allied Health Research, Glasgow, UK
| | - Sebastien F M Chastin
- Glasgow Caledonian University, School of Health and Life Sciences, Institute of Allied Health Research, Glasgow, UK
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O'Donoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C, Chastin SFM, Simon C, O'Gorman D, Nazare JA. A systematic review of correlates of sedentary behaviour in adults aged 18-65 years: a socio-ecological approach. BMC Public Health 2016; 16:163. [PMID: 26887323 PMCID: PMC4756464 DOI: 10.1186/s12889-016-2841-3] [Citation(s) in RCA: 258] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 02/05/2016] [Indexed: 11/10/2022] Open
Abstract
Background Recent research shows that sedentary behaviour is associated with adverse cardio-metabolic consequences even among those considered sufficiently physically active. In order to successfully develop interventions to address this unhealthy behaviour, factors that influence sedentariness need to be identified and fully understood. The aim of this review is to identify individual, social, environmental, and policy-related determinants or correlates of sedentary behaviours among adults aged 18–65 years. Methods PubMed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between January 2000 and September 2015. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour (b) correlates (c) types of sedentary behaviours (d) types of correlates. Articles were included if information relating to sedentary behaviour in adults (18–65 years) was reported. Studies on samples selected by disease were excluded. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823). Results 74 original studies were identified out of 4041: 71 observational, two qualitative and one experimental study. Sedentary behaviour was primarily measured as self-reported screen leisure time and total sitting time. In 15 studies, objectively measured total sedentary time was reported: accelerometry (n = 14) and heart rate (n = 1). Individual level factors such as age, physical activity levels, body mass index, socio-economic status and mood were all significantly correlated with sedentariness. A trend towards increased amounts of leisure screen time was identified in those married or cohabiting while having children resulted in less total sitting time. Several environmental correlates were identified including proximity of green space, neighbourhood walkability and safety and weather. Conclusions Results provide further evidence relating to several already recognised individual level factors and preliminary evidence relating to social and environmental factors that should be further investigated. Most studies relied upon cross-sectional design limiting causal inference and the heterogeneity of the sedentary measures prevented direct comparison of findings. Future research necessitates longitudinal study designs, exploration of policy-related factors, further exploration of environmental factors, analysis of inter-relationships between identified factors and better classification of sedentary behaviour domains. Electronic supplementary material The online version of this article (doi:10.1186/s12889-016-2841-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Grainne O'Donoghue
- Centre for Preventive Medicine, School of Health & Human Performance, Dublin City University, Dublin 9, Republic of Ireland.
| | - Camille Perchoux
- CarMeN Laboratory, INSERM U1060, Lyon 1 University, CRNH-Rhône-Alpes, CENS, Lyon, France.
| | - Keitly Mensah
- CarMeN Laboratory, INSERM U1060, Lyon 1 University, CRNH-Rhône-Alpes, CENS, Lyon, France.
| | - Jeroen Lakerveld
- EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, Netherlands.
| | - Hidde van der Ploeg
- EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, Netherlands.
| | | | - Sebastien F M Chastin
- Institute of Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.
| | - Chantal Simon
- CarMeN Laboratory, INSERM U1060, Lyon 1 University, CRNH-Rhône-Alpes, CENS, Lyon, France.
| | - Donal O'Gorman
- Centre for Preventive Medicine, School of Health & Human Performance, Dublin City University, Dublin 9, Republic of Ireland.
| | - Julie-Anne Nazare
- CarMeN Laboratory, INSERM U1060, Lyon 1 University, CRNH-Rhône-Alpes, CENS, Lyon, France.
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48
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Chastin SFM, Palarea-Albaladejo J, Dontje ML, Skelton DA. Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach. PLoS One 2015; 10:e0139984. [PMID: 26461112 PMCID: PMC4604082 DOI: 10.1371/journal.pone.0139984] [Citation(s) in RCA: 528] [Impact Index Per Article: 58.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 09/21/2015] [Indexed: 02/07/2023] Open
Abstract
The associations between time spent in sleep, sedentary behaviors (SB) and physical activity with health are usually studied without taking into account that time is finite during the day, so time spent in each of these behaviors are codependent. Therefore, little is known about the combined effect of time spent in sleep, SB and physical activity, that together constitute a composite whole, on obesity and cardio-metabolic health markers. Cross-sectional analysis of NHANES 2005–6 cycle on N = 1937 adults, was undertaken using a compositional analysis paradigm, which accounts for this intrinsic codependence. Time spent in SB, light intensity (LIPA) and moderate to vigorous activity (MVPA) was determined from accelerometry and combined with self-reported sleep time to obtain the 24 hour time budget composition. The distribution of time spent in sleep, SB, LIPA and MVPA is significantly associated with BMI, waist circumference, triglycerides, plasma glucose, plasma insulin (all p<0.001), and systolic (p<0.001) and diastolic blood pressure (p<0.003), but not HDL or LDL. Within the composition, the strongest positive effect is found for the proportion of time spent in MVPA. Strikingly, the effects of MVPA replacing another behavior and of MVPA being displaced by another behavior are asymmetric. For example, re-allocating 10 minutes of SB to MVPA was associated with a lower waist circumference by 0.001% but if 10 minutes of MVPA is displaced by SB this was associated with a 0.84% higher waist circumference. The proportion of time spent in LIPA and SB were detrimentally associated with obesity and cardiovascular disease markers, but the association with SB was stronger. For diabetes risk markers, replacing SB with LIPA was associated with more favorable outcomes. Time spent in MVPA is an important target for intervention and preventing transfer of time from LIPA to SB might lessen the negative effects of physical inactivity.
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Affiliation(s)
- Sebastien F. M. Chastin
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
- * E-mail:
| | | | - Manon L. Dontje
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Dawn A. Skelton
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom
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Stierlin AS, De Lepeleere S, Cardon G, Dargent-Molina P, Hoffmann B, Murphy MH, Kennedy A, O'Donoghue G, Chastin SFM, De Craemer M. A systematic review of determinants of sedentary behaviour in youth: a DEDIPAC-study. Int J Behav Nutr Phys Act 2015; 12:133. [PMID: 26453175 PMCID: PMC4600309 DOI: 10.1186/s12966-015-0291-4] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2015] [Accepted: 09/25/2015] [Indexed: 11/10/2022] Open
Abstract
Sedentary behaviour (SB) has emerged as a potential risk factor for metabolic health in youth. Knowledge on the determinants of SB in youth is necessary to inform future intervention development to reduce SB. A systematic review was conducted to identify predictors and determinants of SB in youth. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched, limiting to articles in English, published between January 2000 and May 2014. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour, (b) determinants, (c) types of sedentary behaviours, (d) types of determinants. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823). Cross-sectional studies were excluded. The analysis was guided by the socio-ecological model. 37 studies were selected out of 2654 identified papers from the systematic literature search. Most studies were conducted in Europe (n = 13), USA (n = 11), and Australia (n = 10). The study quality, using the Qualsyst tool, was high with a median of 82 % (IQR: 74–91 %). Multiple potential determinants were studied in only one or two studies. Determinants were found at the individual, interpersonal, environmental and policy level but few studies examined a comprehensive set of factors at different levels of influences. Evidence was found for age being positively associated with total SB, and weight status and baseline assessment of screen time being positively associated with screen time (at follow-up). A higher playground density and a higher availability of play and sports equipment at school were consistently related to an increased total SB, although these consistent findings come from single studies. Evidence was also reported for the presence of safe places to cross roads and lengthening morning and lunch breaks being associated with less total SB. Future interventions to decrease SB levels should especially target children with overweight or obesity and should start at a young age. However, since the relationship of many determinants with SB remains inconsistent, there is still a need for more longitudinal research on determinants of SB in youth.
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Affiliation(s)
- Annabel S Stierlin
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany. .,Section Health Economics and Health Services Research, Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Ulm, Germany.
| | - Sara De Lepeleere
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
| | - Patricia Dargent-Molina
- Univ Paris Descartes, UMRS 1153, F-94807, Villejuif, France. .,Inserm U1153, ORCHARD, Centre de Recherche Epidémiologie et Statistique Sorbonne Paris Cité (CRESS), Villejuif, F-94807, France.
| | - Belinda Hoffmann
- Division of Sports and Rehabilitation Medicine, Department of Medicine II, Ulm University, Ulm, Germany.
| | - Marie H Murphy
- Sport and Exercise Sciences Research Institute, University of Ulster, Northern Ireland, UK.
| | - Aileen Kennedy
- Centre for Preventive Medicine, Dublin City University, Dublin, Ireland.
| | - Grainne O'Donoghue
- Centre for Preventive Medicine, Dublin City University, Dublin, Ireland.
| | - Sebastien F M Chastin
- Institute of Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, UK.
| | - Marieke De Craemer
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
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Chastin SFM, Buck C, Freiberger E, Murphy M, Brug J, Cardon G, O'Donoghue G, Pigeot I, Oppert JM. Systematic literature review of determinants of sedentary behaviour in older adults: a DEDIPAC study. Int J Behav Nutr Phys Act 2015; 12:127. [PMID: 26437960 PMCID: PMC4595239 DOI: 10.1186/s12966-015-0292-3] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 09/25/2015] [Indexed: 12/02/2022] Open
Abstract
Background Older adults are the most sedentary segment of society and high sedentary time is associated with poor health and wellbeing outcomes in this population. Identifying determinants of sedentary behaviour is a necessary step to develop interventions to reduce sedentary time. Methods A systematic literature review was conducted to identify factors associated with sedentary behaviour in older adults. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between 2000 and May 2014. The search strategy was based on four key elements: (a) sedentary behaviour and its synonyms; (b) determinants and its synonyms (e.g. correlates, factors); (c) types of sedentary behaviour (e.g. TV viewing, sitting, gaming) and (d) types of determinants (e.g. environmental, behavioural). Articles were included in the review if specific information about sedentary behaviour in older adults was reported. Studies on samples identified by disease were excluded. Study quality was rated by means of QUALSYST. The full review protocol is available from PROSPERO (PROSPERO 2014: CRD42014009823). The analysis was guided by the socio-ecological model framework. Results Twenty-two original studies were identified out of 4472 returned by the systematic search. These included 19 cross-sectional, 2 longitudinal and 1 qualitative studies, all published after 2011. Half of the studies were European. The study quality was generally high with a median of 82 % (IQR 69–96 %) using Qualsyst tool. Personal factors were the most frequently investigated with consistent positive association for age, negative for retirement, obesity and health status. Only four studies considered environmental determinants suggesting possible association with mode of transport, type of housing, cultural opportunities and neighbourhood safety and availability of places to rest. Only two studies investigated mediating factors. Very limited information was available on contexts and sub-domains of sedentary behaviours. Conclusion Few studies have investigated determinants of sedentary behaviour in older adults and these have to date mostly focussed on personal factors, and qualitative studies were mostly lacking. More longitudinal studies are needed as well as inclusion of a broader range of personal and contextual potential determinants towards a systems-based approach, and future studies should be more informed by qualitative work. Electronic supplementary material The online version of this article (doi:10.1186/s12966-015-0292-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sebastien F M Chastin
- Institute of Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.
| | - Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology- BIPS, Bremen, Germany.
| | - Ellen Freiberger
- Institute for Biomedicine of Aging Friedrich-Alexander-Universität, Erlangen, Nürnberg, Germany.
| | - Marie Murphy
- Centre for Physical Activity and Health Research, University of Ulster, Newtownabbey, Co. Antrim, Northern Ireland, UK.
| | - Johannes Brug
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health & Care Research, VU Medical Centre, Amsterdam, The Netherlands.
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
| | - Grainne O'Donoghue
- Centre for Preventive Medicine, School of Health & Human Performance, Dublin City University, Dublin, Ireland.
| | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology- BIPS, Bremen, Germany.
| | - Jean-Michel Oppert
- Institute of Cardiometabolism and Nutrition (ICAN), Centre for Research on Human Nutrition Ile-de-France (CRNH), University Pierre et Marie Curie, Paris, France.
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