The implications of megatrends in information and communication technology and transportation for changes in global physical activity
Open accessAbstract
Physical inactivity accounts for more than 3 million deaths per year, most from non-communicable diseases in low-income and middle-income countries. We used reviews of physical activity interventions and a simulation model to examine how megatrends in information and communication technology and transportation directly and indirectly affect levels of physical activity across countries of low, middle, and high income. The model suggested that the direct and potentiating eff ects of information and communication technology, especially mobile phones, are nearly equal in magnitude to the mean eff ects of planned physical activity interventions. The greatest potential to increase population physical activity might thus be in creation of synergistic policies in sectors outside health including communication and transportation. However, there remains a glaring mismatch between where studies on physical activity interventions are undertaken and where the potential lies in low-income and middle-income countries for population-level effects that will truly affect global health.
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Most studies in Dumith et al completed data collection before 2000 and probably lack generalisability to contemporary populations.
“since most studies completed data collection before 2000, they probably lack generalisability to contemporary populations given recent and dramatic societal changes: declines in active commuting,10 in the technology being used by children10 (eg, the ubiquitous nature of new screen-based media),11 and in overweight and obesity (which appear to reduce physical activity).12”
From Timing of the decline in physical activity in childhood and adolescence: gateshead millennium cohort study (2018) · cites this paper as [10]
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Self-citation
- Authors
- Pratt, M., Sarmiento, O. L., Montes, F., Ogilvie, D., Marcus, B. H., Perez, L. G., & Brownson, R. C.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Universidad de Los Andes (CO)
- University of Zurich (CH)
- University of California San Diego (US)
- Washington University in St. Louis (US)
- Corresponding author
- Pratt, Michael
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 380
- Issue
- 9838
- Pages
- 282-293
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC4843126
- OpenAlex
- W2008402393
- Cited by
- 295
- References
- 90
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 9 · 2023: 12 · 2022: 22 · 2021: 11 · 2020: 18 · 2019: 25 · 2018: 20 · 2017: 30 · 2016: 41 · 2015: 35 · 2014: 23 · 2013: 26 · 2012: 11
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by-nc-nd)
- Research Bank (Australian Catholic University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS) (519-2010)
- Wellcome Trust
- United Kingdom Clinical Research Collaboration
- Centers for Disease Control and Prevention Foundation
- National Institute for Health and Care Research
- British Heart Foundation
- Centre for Diet and Activity Research
- Centers for Disease Control and Prevention (U48DP001903)
- University of California, San Diego
- Medical Research Council
- Economic and Social Research Council (ES/G007462/1)
- National Cancer Institute (P50CA095815)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK092950)
- National Center for Chronic Disease Prevention and Health Promotion (U48-DP000060, U48-DP-001903)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Social Sciences › Transportation › Urban Transport and Accessibility
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- physical activity, physical inactivity, information and communication technologies, transportation, megatrends, mobile devices, physical activity interventions, non-communicable diseases, low- and middle-income countries, computer simulation
- MeSH terms
- Communication, Humans, Information Services, Motor Activity, Socioeconomic Factors, Technology, Transportation, Global Health, Exercise
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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