Literature DB >> 30001713

Health outcomes associated with reallocations of time between sleep, sedentary behaviour, and physical activity: a systematic scoping review of isotemporal substitution studies.

Jozo Grgic1, Dorothea Dumuid2, Enrique Garcia Bengoechea1,3, Nipun Shrestha1, Adrian Bauman4, Timothy Olds2, Zeljko Pedisic5.   

Abstract

BACKGROUND: During a 24-h day, each given period is spent in either sedentary behaviour, sleeping, light physical activity (LPA), or moderate-to-vigorous physical activity (MVPA). In epidemiological research most studies have traditionally analysed the associations of these behaviours in isolation from each other; that is, without taking into account the displacement of time spent in the remaining behaviours. In recent years, there has been a growing interest in exploring how all the behaviours across the energy expenditure spectrum influence health outcomes. A statistical model used to investigate these associations is termed an isotemporal substitution model (ISM). Considering the increasing number of ISM-based studies conducted in all age groups, the present paper aimed to: (i) review and summarise findings from studies that employed ISM in sleep, sedentary behaviour, and physical activity research; (ii) appraise the methodological quality of the studies; and (iii) suggest future research directions in this area.
METHODS: A systematic search of ten databases was performed. The Newcastle-Ottawa scale was used to assess the methodological quality of the included studies.
RESULTS: Fifty-six studies met the inclusion criteria, all being of moderate or high methodological quality. Associations were reported for exchanged time varying from one minute to 120 min/day across the studies, with 30 min/day being the most common amount of time reallocated. In total, three different ISM methodologies were used. The most commonly studied health outcomes in relation to isotemporal substitutions were mortality, general health, mental health, adiposity, fitness, and cardiometabolic biomarkers. It seems that reallocations of sedentary time to LPA or MVPA are associated with significant reduction in mortality risk. Current evidence appears to consistently suggest that reductions in mortality risk are greater when time spent sedentary is replaced with higher intensities of physical activity. For adiposity, it seems that reallocating sedentary time to physical activity may be associated with reduced body mass index, body fat percentage, and waist circumference in all age groups, with the magnitude of associations being greater for higher intensities of physical activity. While there is a relatively large body of evidence reporting beneficial associations between the reallocation of time from sedentary behaviour to LPA or MVPA and cardiometabolic biomarkers among adults, there is a lack of studies among children, adolescents, and older adults. Although some studies investigated general health, mental health, and fitness outcomes, further investigation of these topics is warranted. In general, it seems that the strongest association with health outcomes is observed when time is reallocated from sedentary behaviour to MVPA. Most studies did not account for sleep time, which is a major limitation of the current evidence.
CONCLUSIONS: The current evidence indicates that time reallocation between sleep, sedentary behaviour, LPA, and MVPA may be associated with a number of health outcomes. Future studies should employ longitudinal designs, take into account all movement behaviours, and examine a wider range of health, psychological, social, economic, and environmental outcomes.

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Year:  2018        PMID: 30001713      PMCID: PMC6043964          DOI: 10.1186/s12966-018-0691-3

Source DB:  PubMed          Journal:  Int J Behav Nutr Phys Act        ISSN: 1479-5868            Impact factor:   6.457


  87 in total

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Authors:  Jeffrey K H Vallance; Kerry S Courneya; Lee W Jones; Tony Reiman
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2.  Isotemporal substitution paradigm for physical activity epidemiology and weight change.

Authors:  Rania A Mekary; Walter C Willett; Frank B Hu; Eric L Ding
Journal:  Am J Epidemiol       Date:  2009-07-07       Impact factor: 4.897

3.  Vigorous-intensity leisure-time physical activity and risk of major chronic disease in men.

Authors:  Andrea K Chomistek; Nancy R Cook; Alan J Flint; Eric B Rimm
Journal:  Med Sci Sports Exerc       Date:  2012-10       Impact factor: 5.411

4.  Reallocating Time to Sleep, Sedentary Time, or Physical Activity: Associations with Waist Circumference and Body Mass Index in Breast Cancer Survivors.

Authors:  Terry Boyle; Jeff K Vallance; Matthew P Buman; Brigid M Lynch
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-10-25       Impact factor: 4.254

5.  Mortality risk and perceived quality of life as a function of waking time in discretionary movement-based behaviors: isotemporal substitution effects.

Authors:  Paul D Loprinzi; Jeremy P Loenneke
Journal:  Qual Life Res       Date:  2016-08-05       Impact factor: 4.147

6.  Effects of reallocating time in different activity intensities on health and fitness: a cross sectional study.

Authors:  Daniel Aggio; Lee Smith; Mark Hamer
Journal:  Int J Behav Nutr Phys Act       Date:  2015-06-24       Impact factor: 6.457

7.  Cross-sectional surveillance study to phenotype lorry drivers' sedentary behaviours, physical activity and cardio-metabolic health.

Authors:  Veronica Varela-Mato; Orlagh O'Shea; James A King; Thomas Yates; David J Stensel; Stuart Jh Biddle; Myra A Nimmo; Stacy A Clemes
Journal:  BMJ Open       Date:  2017-06-21       Impact factor: 2.692

8.  Fitness, fatness and the reallocation of time between children's daily movement behaviours: an analysis of compositional data.

Authors:  Stuart J Fairclough; Dorothea Dumuid; Sarah Taylor; Whitney Curry; Bronagh McGrane; Gareth Stratton; Carol Maher; Timothy Olds
Journal:  Int J Behav Nutr Phys Act       Date:  2017-05-10       Impact factor: 6.457

9.  Physical activity and not sedentary time per se influences on clustered metabolic risk in elderly community-dwelling women.

Authors:  Andreas Nilsson; Britta Wåhlin-Larsson; Fawzi Kadi
Journal:  PLoS One       Date:  2017-04-07       Impact factor: 3.240

10.  Examining Non-Linear Associations between Accelerometer-Measured Physical Activity, Sedentary Behavior, and All-Cause Mortality Using Segmented Cox Regression.

Authors:  Paul H Lee
Journal:  Front Physiol       Date:  2016-06-29       Impact factor: 4.566

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  56 in total

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Authors:  Jordan J Smith; Narelle Eather; R Glenn Weaver; Nicholas Riley; Michael W Beets; David R Lubans
Journal:  Sports Med       Date:  2019-06       Impact factor: 11.136

2.  The physical activity health paradox and risk factors for cardiovascular disease: A cross-sectional compositional data analysis in the Copenhagen City Heart Study.

Authors:  Melker S Johansson; Andreas Holtermann; Jacob L Marott; Eva Prescott; Peter Schnohr; Mette Korshøj; Karen Søgaard
Journal:  PLoS One       Date:  2022-04-21       Impact factor: 3.240

3.  Association between alanine aminotransferase as surrogate of fatty liver disease and physical activity and sedentary time in adolescents with obesity.

Authors:  Valérie Julian; Peter Bergsten; Gael Ennequin; Anders Forslund; Hakan Ahlstrom; Iris Ciba; Marie Dahlbom; Dieter Furthner; Julian Gomahr; Joel Kullberg; Katharina Maruszczak; Katharina Morwald; Roger Olsson; Thomas Pixner; Anna Schneider; Bruno Pereira; Suzanne Ring-Dimitriou; David Thivel; Daniel Weghuber
Journal:  Eur J Pediatr       Date:  2022-06-30       Impact factor: 3.860

4.  Sociodemographic Differences in Young Children Meeting 24-Hour Movement Guidelines.

Authors:  Chelsea L Kracht; Elizabeth K Webster; Amanda E Staiano
Journal:  J Phys Act Health       Date:  2019-09-06

5.  Association of Sedentary Behavior With Cancer Mortality in Middle-aged and Older US Adults.

Authors:  Susan C Gilchrist; Virginia J Howard; Tomi Akinyemiju; Suzanne E Judd; Mary Cushman; Steven P Hooker; Keith M Diaz
Journal:  JAMA Oncol       Date:  2020-08-01       Impact factor: 31.777

6.  Objectively Measured Physical Activity and Body Fatness: Associations with Total Body Fat, Visceral Fat, and Liver Fat.

Authors:  Esther Winters-VAN Eekelen; Jeroen H P M VAN DER Velde; Sebastiaan C Boone; Kate Westgate; Søren Brage; Hildo J Lamb; Frits R Rosendaal; Renée DE Mutsert
Journal:  Med Sci Sports Exerc       Date:  2021-11-01       Impact factor: 5.411

7.  Associations of meeting 24-h movement guidelines with stress and self-rated health among adults: is meeting more guidelines associated with greater benefits?

Authors:  Kaja Kastelic; Željko Pedišić; Dean Lipovac; Nika Kastelic; Si-Tong Chen; Nejc Šarabon
Journal:  BMC Public Health       Date:  2021-05-17       Impact factor: 3.295

8.  Effects of Substituting Types of Physical Activity on Body Fat Mass and Work Efficiency among Workers.

Authors:  Jiameng Ma; Dongmei Ma; Junghoon Kim; Qiang Wang; Hyunshik Kim
Journal:  Int J Environ Res Public Health       Date:  2021-05-12       Impact factor: 3.390

9.  Physical Activity, Sleep, and Sedentary Behavior among Successful Long-Term Weight Loss Maintainers: Findings from a U.S. National Study.

Authors:  Gregory Knell; Qing Li; Elisa Morales-Marroquin; Jeffrey Drope; Kelley Pettee Gabriel; Kerem Shuval
Journal:  Int J Environ Res Public Health       Date:  2021-05-22       Impact factor: 3.390

10.  "CoVidentary": An online exercise training program to reduce sedentary behaviours in children with type 1 diabetes during the COVID-19 pandemic.

Authors:  Valeria Calcaterra; Dario Iafusco; Vittoria Carnevale Pellino; Chiara Mameli; Gianluca Tornese; Antonietta Chianese; Crescenzo Cascella; Maddalena Macedoni; Francesca Redaelli; Gianvincenzo Zuccotti; Matteo Vandoni
Journal:  J Clin Transl Endocrinol       Date:  2021-07-10
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