An evidence‐update on the prospective relationship between childhood sedentary behaviour and biomedical health indicators: a systematic review and meta‐analysis
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Summary: Evidence for adverse health effects of excessive sedentary behaviour in children is predominantly based on cross‐sectional studies, measuring TV viewing as proxy for sedentary behaviour. This systematic review and meta‐analysis summarizes the evidence on the prospective relationship between childhood sedentary behaviour and biomedical health indicators, overall and stratified by type of sedentary behaviour (TV viewing, computer use/games, screen time and objective sedentary time). PubMed, EMBASE, PsycINFO and Cochrane were systematically searched till January 2015. Methodological quality of all included studies was scored, and a best evidence synthesis was applied. We included 109 studies of which 19 were of high quality. We found moderate‐to‐strong evidence for a relationship of overall sedentary time with some anthropometrics (overweight/obesity, weight‐for‐height), one cardiometabolic biomarker (HDL‐cholesterol) and some fitness indicators (fitness, being unfit). For other health indicators, we found no convincing evidence because of inconsistent or non‐significant findings. The evidence varied by type of sedentary behaviour. The meta‐analysis indicated that each additional baseline hour of TV viewing (β = 0.01, 95%CI = [−0.002; 0.02]) or computer use (β = 0.00, 95%CI = [−0.004; 0.01]) per day was not significantly related with BMI at follow‐up. We conclude that the evidence for a prospective relationship between childhood sedentary behaviour and biomedical health is in general unconvincing.
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Isolated adherence to MVPA, screen time and sleep duration recommendations has been associated with lower adiposity indicators in children and adolescents.
“Isolated adherence to MVPA, screen time and sleep duration recommendations have been associated with lower adiposity indicators in children and adolescents [3, 5–10].”
From Proportion of children meeting recommendations for 24-hour movement guidelines and associations with adiposity in a 12-country study (2016) · cites this paper as [10]
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From Total Volume to Sequence Maps: Sophisticated Accelerometer Data Analysis
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- Authors
- van Ekris, E., Altenburg, T. M., Singh, A. S., Proper, K. I., Heymans, M. W., & Chinapaw, M. J. M.
- Affiliations
- Department of Public and Occupational Health VU University Medical Center, EMGO Institute for Health and Care Research Amsterdam The Netherlands
- Amsterdam Public Health (NL)
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2016-06-03
- Volume
- 17
- Issue
- 9
- Pages
- 833-849
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2413151763
- Cited by
- 191
- References
- 141
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 12 · 2023: 18 · 2022: 29 · 2021: 26 · 2020: 19 · 2019: 23 · 2018: 24 · 2017: 23 · 2016: 6
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Update notices
- erratum (2017-05-05)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Obesity Reviews (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Netherlands Organization for Health Research and Development (91211057)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- television viewing, computer use, screen time, childhood obesity, overweight, weight-for-height, HDL cholesterol, cardiometabolic biomarkers, physical fitness
- MeSH terms
- Child Health, Anthropometry, Blood Pressure, Cardiovascular Diseases, Child, Child Behavior, Humans, Biomarkers, Body Mass Index, Overweight, Sedentary Behavior, Pediatric Obesity
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.
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