Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 49

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Association of leisure-time sedentary behavior with fast food and carbonated soft drink consumption among 133,555 adolescents aged 12–15 years in 44 low- and middle-income countries

Ashdown-Franks, Garcia, Vancampfort, Davy, Firth, Joseph, Smith, Lee, Sabiston, Catherine M., Stubbs, Brendon, Koyanagi, Ai·2019·International Journal of Behavioral Nutrition and Physical Activity

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12966-019-0796-3

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Research works printed but not linked: 31

  1. Australian Government, Department of Health. Make Your Move – Sit Less, Be Active for Life! Australia’s Physical Activity and Sedentary Behaviour Guidelines for Young People (13–17 years). Canberra: Commonwealth of Australia; 2014.
  2. Balogun O, Koyanagi A, Stickley A, Gilmour S, Shibuya K. Alcohol consumption and psychological distress in adolescents: a multi-country study. Journal of adolescent health. 2014;54(2):228–34. · DOI
  3. Basu S, McKee M, Galea G, Stuckler D. Relationship of soft drink consumption to global overweight, obesity, and diabetes: a cross-national analysis of 75 countries. Am J Public Health. 2013;103(11):2071–7. · DOI · Paper page
  4. Borghese MM, Tremblay MS, Leduc G, Boyer C, Bélanger P, LeBlanc AG, Francis C, Chaput JP. Television viewing and food intake during television viewing in normal-weight, overweight and obese 9-to 11-year-old Canadian children: a cross-sectional analysis. J Nutri Sc. 2015;4:e8. · DOI
  5. Boulos R, Vikre EK, Oppenheimer S, Chang H, Kanarek RB. ObesiTV: how television is influencing the obesity epidemic. Physiol Behav. 2012;107(1):146–53. · DOI
  6. Braithwaite I, Stewart AW, Hancox RJ, Beasley R, Murphy R, Mitchell EA. ISAAC phase three study group. Fast-food consumption and body mass index in children and adolescents: an international cross-sectional study. BMJ Open. 2014;4(12):e005813. · DOI
  7. Bremer AA, Lustig RH. Effects of sugar-sweetened beverages on children. Pediatr Ann. 2012;41(1):26–30. · DOI
  8. Brener ND, Collins JL, Kann L, Warren CW, Williams BI. Reliability of the youth risk behavior survey questionnaire. Am J Epidemiol. 1995;141(6):575–80. · DOI · Paper page
  9. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32(1):56–69. · DOI · Paper page
  10. Dalton MA, Longacre MR, Drake KM, Cleveland LP, Harris JL, Hendricks K, Titus LJ. Child-targeted fast-food television advertising exposure is linked with fast-food intake among pre-school children. Public Health Nutr. 2017;20(9):1548–56. · DOI
  11. de Bruijn GJ, van den Putte B. Adolescent soft drink consumption, television viewing and habit strength. Investigating clustering effects in the theory of planned behaviour. Appetite. 2009;53(1):66–75. · DOI
  12. Dumuid D, Olds T, Lewis LK, Martin-Fernández JA, Katzmarzyk PT, Barreira T, Broyles ST, Chaput JP, Fogelholm M, Hu G, Kuriyan R. Health-related quality of life and lifestyle behavior clusters in school-aged children from 12 countries. J Pediatr. 2017;183:178–83. · DOI
  13. Fletcher EA, McNaughton SA, Crawford D, Cleland V, Della Gatta J, Hatt J, Dollman J, Timperio A. Associations between sedentary behaviours and dietary intakes among adolescents. Public Health Nutr. 2018;21(6):1115–22. · DOI
  14. Ford ND, Patel SA, Narayan KV. Obesity in low-and middle-income countries: burden, drivers, and emerging challenges. Annu Rev Public Health. 2017;38:145–64. · DOI · Paper page
  15. Gebremariam MK, Chinapaw MJ, Bringolf-Isler B, Bere E, Kovacs E, Verloigne M, Stok FM, Manios Y, Brug J, Lien N. Screen-based sedentary time: association with soft drink consumption and the moderating effect of parental education in European children: the ENERGY study. PLoS One. 2017;12(2):e0171537. · DOI
  16. Guthold R, Cowan MJ, Autenrieth CS, Kann L, Riley LM. Physical activity and sedentary behavior among schoolchildren: a 34-country comparison. J Pediatr. 2010;157(1):43–9. · DOI · Paper page
  17. Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet. 2004;364(9430):257–62. · DOI · Paper page
  18. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58. · DOI · Paper page
  19. Hobbs M, Pearson N, Foster PJ, Biddle SJ. Sedentary behaviour and diet across the lifespan: an updated systematic review. Br J Sports Med. 2015;49(18):1179–88. · DOI
  20. Janssen HG, Davies IG, Richardson LD, Stevenson L. Determinants of takeaway and fast food consumption: a narrative review. Nutr Res Rev. 2018;31(1):16–34. · DOI · Paper page
  21. Joseph N, Nelliyanil M, Rai S, YP RB, Kotian SM, Ghosh T, Singh M. Fast food consumption pattern and its association with overweight among high school boys in Mangalore city of southern India. J Clin Diagn Res: JCDR. 2015;9(5):LC13.
  22. Lewis LK, Maher C, Belanger K, Tremblay M, Chaput JP, Olds T. At the mercy of the gods: associations between weather, physical activity, and sedentary time in children. Pediatr Exerc Sci. 2016;28(1):152–63. · DOI
  23. Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet. 2001;357(9255):505–8. · DOI
  24. Malik VS, Willett WC, Hu FB. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol. 2013;9(1):13. · DOI · Paper page
  25. Mitchell JA, Byun W. Sedentary behavior and health outcomes in children and adolescents. Am J Lifestyle Med. 2014;8(3):173–99. · DOI
  26. New Zealand Beverage Guidance Panel. POLICY BRIEF : Options to Reduce Sugar Sweetened Beverage (SSB) Consumption in New Zealand; 2014. doi: https://doi.org/10.1177/0022146514533086 . · DOI
  27. Poskitt EM. Childhood obesity in low-and middle-income countries. Paediatr Int Child Health. 2014;34(4):239–49. · DOI
  28. Prochaska JJ, Sallis JF, Long B. A physical activity screening measure for use with adolescents in primary care. Archives Pediatr Adolesc Med. 2001;155(5):554–9. · DOI · Paper page
  29. Rabe-Hesketh S, Skrondal A. Multilevel modelling of complex survey data. J Royal Stat Soc: Series A (Statistics in Society). 2006;169(4):805–27. · DOI · Paper page
  30. Rey-López JP, Vicente-Rodríguez G, Répasy J, Mesana MI, Ruiz JR, Ortega FB, Kafatos A, Huybrechts I, Cuenca-Garcia M, León JF, Gonzalez-Gross M. Food and drink intake during television viewing in adolescents: the healthy lifestyle in Europe by nutrition in adolescence (HELENA) study. Public Health Nutr. 2011;14(9):1563–9. · DOI
  31. World Health Organization. Global status report on noncommunicable diseases 2010. Geneva: World Health Organization; 2011.

Cited by

See all 49

Metadata

Authors
Ashdown-Franks, G., Vancampfort, D., Firth, J., Smith, L., Sabiston, C. M., Stubbs, B., & Koyanagi, A.
Venue
International Journal of Behavioral Nutrition and Physical Activity
Published
2019-04-23
Volume
16
Issue
1
ISSN
1479-5868
Cited by
49
References
5
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (tdm)
Funders
  • Miguel Servet
  • National Institute for Health Research Collaboration for Applied Health Research & Care Funding (NA)
  • Mitacs (NA)

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Association of leisure-time sedentary behavior with fast food and carbonated soft drink consumption among 133,555 adolescents aged 12–15 years in 44 low- and middle-income countries. https://app.cochat.ai/papers/10.1186/s12966-019-0796-3
The paper
Ashdown-Franks, G., Vancampfort, D., Firth, J., Smith, L., Sabiston, C. M., Stubbs, B., & Koyanagi, A. (2019). Association of leisure-time sedentary behavior with fast food and carbonated soft drink consumption among 133,555 adolescents aged 12–15 years in 44 low- and middle-income countries. International Journal of Behavioral Nutrition and Physical Activity. https://doi.org/10.1186/s12966-019-0796-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.