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1.
J Sports Sci ; 40(12): 1299-1307, 2022 Jun.
Article in English | MEDLINE | ID: mdl-35766978

ABSTRACT

The importance of integrated movement behaviours (MB, i.e., physical activity [PA], sedentary behaviour, and sleep) and their interdependence for health has been recently discussed in the literature. The proposition that the amount of time spent in any one of these behaviours may impact the amount of time spent in another is supported by the ActivityStat hypothesis. The aim of this review is to (1) to assess whether individuals with liver disease display MB and/or energy (i.e., total energy expenditure [EE], basal EE, resting EE, and activity EE) compensation throughout the day and/or days; and (2) to examine whether a prescribed PA intervention triggers compensatory responses. Documents were included if they focused on people living with liver disease; analysed MB and/or EE components; were data-based; and were published in English. Fifteen documents were included in the final synthesis. The one finding that addressed research question 1 showed no compensatory response. As for research question 2, most of the findings suggest no compensation effects in response to a PA intervention. There is insufficient evidence to support the ActivityStat hypothesis in people living with liver disease. Further research should be conducted to test this hypothesis using standardized methodological procedures.


Subject(s)
Energy Metabolism , Liver Diseases , Energy Metabolism/physiology , Exercise/physiology , Humans , Rest , Sedentary Behavior
2.
Am J Prev Med ; 58(6): e191-e199, 2020 06.
Article in English | MEDLINE | ID: mdl-32156488

ABSTRACT

CONTEXT: This scoping review examines the literature as it relates to autonomous vehicles and impact on movement behavior (i.e., physical activity, sedentary behavior, and sleep) or mode choice (e.g., public transit), beliefs about movement behavior or mode choice, or impact on environments that may influence movement behavior or mode choice. EVIDENCE ACQUISITION: A search was conducted in June 2018 and updated in August 2019 of numerous databases (e.g., SPORTDiscuss, PubMed, and Scopus) and hand searching using terms such as autonomous cars and walking. Documents were included if they were databased studies, published in English, and related to the research question. They were then coded by 6 reviewers for characteristics of the document, design, sample, autonomous vehicles, movement behavior, and findings. The coding and analysis were conducted between August 2018 and September 2019. EVIDENCE SYNTHESIS: Of 1,262 possible studies, 192 remained after a title and abstract scan, and 70 were included after a full-article scan. Most of the studies were conducted in Europe (42%) or North America (40%), involved simulation modeling (50%) or cross-sectional (34%) designs, and were published mostly in transportation (83%) journals or reports. Of the 252 findings, 61% related to movement behavior or mode choice. Though the findings were equivocal in some cases, impacts included decreased demand for active transportation, increased demand for autonomous vehicles, increased sitting and sleeping, and reduced walking. CONCLUSIONS: Though no experimental or longitudinal studies have been published to date, the available research suggests that autonomous vehicles will impact aspects of mode choice and the built environment of people residing in much of the developed world, resulting in reduced walking and more sitting.


Subject(s)
Automation , Automobiles , Exercise , Sedentary Behavior , Transportation , Cross-Sectional Studies , Environment Design , Europe , Humans , North America , Public Health , Residence Characteristics , Walking
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