The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Influence of Physical Activity, Socioeconomic Status, and Ethnicity on the Weight Status of Adolescents
Abstract
Objective: This study examined the effects of physical activity, television viewing, video game play, socioeconomic status (SES), and ethnicity on body mass index (BMI). Research Methods and Procedures: The sample was 2389 adolescents, 10 to 16 years of age (12.7 ± 1.0 years); 1240 (52%) females and 1149 (48%) males; 77% white and 23% African American; from rural (77%) and urban (23%) settings. BMI and skinfolds were directly assessed. All other data were obtained from questionnaires. Results: Watching television on non‐school days was related to being overweight (p < 0.005). However, when BMI analyses were adjusted for ethnicity and SES, there were no significant effects of television viewing on BMI (p > 0.061). Increased hours of video game play enhanced the risk of being overweight for both genders when analyses were adjusted for ethnicity and SES (p < 0.019). In males, participation in as little as one high‐intensity physical activity 3 to 5 days a week decreased the ethnic‐ and SES‐adjusted relative risk of being overweight (RR = 0.646; CI: 0.427 to 0.977). For females, the ethnic‐ and SES‐adjusted relative risk for being overweight was not significantly altered by physical activity. The logistic analyses further indicated the influence of low SES and African American ethnicity overshadowed any direct effect of television or videos. Discussion: Because weight status of male adolescents appears to be more related to exercise habits than to television or video game habits, increased participation in high‐intensity exercise appears to be important. For females, neither videos nor exercise habits appear to be related to risk of being overweight. However, ethnicity and SES may be important factors that can influence body weight status, while television viewing may be of some importance. Thus, programs to reduce obesity in female adolescent should focus their efforts in lower SES communities.
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.
Integrity signals
Registry
Cites
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.
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
Compendium of Physical Activities: Classification of energy costs of human physical activities
AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00011 · Cited by 4,102
Harrell, J. S., McMurray, R. G., Bangdiwala, S. I., Frauman, A. C., Gansky, S. A., & Bradley, C. B. (1996) · The Journal of Pediatrics · doi:10.1016/s0022-3476(96)70332-3 · Cited by 189
Self-citation
Cited by
Janssen, I., & LeBlanc, A. G. (2010) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-7-40 · Cited by 4,829
Systematic review of sedentary behaviour and health indicators in school-aged children and youth.
Tremblay, M. S., LeBlanc, A. G., Kho, M. E., Saunders, T. J., Larouche, R., Colley, R. C., Goldfield, G., & Gorber, S. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-98 · Cited by 2,085
Carson, V., Hunter, S., Kuzik, N., Gray, C. E., Poitras, V. J., Chaput, J.-P., Saunders, T. J., Katzmarzyk, P. T., Okely, A. D., Connor Gorber, S., et al. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0630 · Cited by 1,380
TELEVISION VIEWING AND CHILDHOOD OBESITY
Robinson, T. N. (2001) · Pediatric Clinics of North America · doi:10.1016/s0031-3955(05)70354-0 · Cited by 510
An ecological study of the relationship between social and environmental determinants of obesity
Reidpath, D. D., Burns, C., Garrard, J., Mahoney, M., & Townsend, M. (2002) · Health & Place · doi:10.1016/s1353-8292(01)00028-4 · Cited by 482
Metadata
- Authors
- McMurray, R. G., Harrell, J. S., Deng, S., Bradley, C. B., Cox, L. M., & Bangdiwala, S. I.
- Venue
- Obesity Research
- Publisher
- Wiley
- Published
- 2000-03
- Volume
- 8
- Issue
- 2
- Pages
- 130-139
- ISSN
- 1071-7323 (ISSN-L)
- 1550-8528
- OpenAlex
- W1993768097
- Cited by
- 259
- References
- 2
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.