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Items: 1 to 20 of 107

1.

Prevalence, trajectories, and determinants of television viewing time in an ethnically diverse sample of young children from the UK.

Barber SE, Kelly B, Collings PJ, Nagy L, Bywater T, Wright J.

Int J Behav Nutr Phys Act. 2017 Jul 6;14(1):88. doi: 10.1186/s12966-017-0541-8.

2.

Objectively measured physical activity level and sedentary behavior in Norwegian children during a week in preschool.

Andersen E, Borch-Jenssen J, Øvreås S, Ellingsen H, Jørgensen KA, Moser T.

Prev Med Rep. 2017 Jun 9;7:130-135. doi: 10.1016/j.pmedr.2017.06.003. eCollection 2017 Sep.

3.

Associations among Screen Time and Unhealthy Behaviors, Academic Performance, and Well-Being in Chinese Adolescents.

Yan H, Zhang R, Oniffrey TM, Chen G, Wang Y, Wu Y, Zhang X, Wang Q, Ma L, Li R, Moore JB.

Int J Environ Res Public Health. 2017 Jun 4;14(6). pii: E596. doi: 10.3390/ijerph14060596.

4.

Age, period and cohort effects and the predictors of physical activity and sedentary behaviour among Chinese children, from 2004 to 2011.

Wei X, Zang Y, Jia X, He X, Zou S, Wang H, Shen M, Zang J.

BMC Public Health. 2017 Apr 24;17(1):353. doi: 10.1186/s12889-017-4215-x.

5.

Analysis using national databases reveals a positive association between dietary polyunsaturated fatty acids with TV watching and diabetes in European females.

Pither J, Botta A, Maity C, Ghosh S.

PLoS One. 2017 Mar 29;12(3):e0173084. doi: 10.1371/journal.pone.0173084. eCollection 2017.

6.

Sedentary behaviour and adiposity in youth: a systematic review of reviews and analysis of causality.

Biddle SJ, García Bengoechea E, Wiesner G.

Int J Behav Nutr Phys Act. 2017 Mar 28;14(1):43. doi: 10.1186/s12966-017-0497-8. Review.

7.

A feasibility study with process evaluation of a preschool intervention to improve child and family lifestyle behaviours.

McSweeney L, Araújo-Soares V, Rapley T, Adamson A.

BMC Public Health. 2017 Mar 11;17(1):248. doi: 10.1186/s12889-017-4167-1.

8.

Problem Video Gaming Among Children Enrolled in Tertiary Weight Management Programs.

Stubblefield S, Datto G, Phan TT, Werk LN, Stackpole K, Siegel R, Stratbucker W, Tucker JM, Christison AL, Hossain J, Gentile DA.

Cyberpsychol Behav Soc Netw. 2017 Feb;20(2):109-116. doi: 10.1089/cyber.2016.0386.

PMID:
28170312
9.

Physical Activity, TV Watching Time, Sleeping, and Risk of Obesity and Hyperglycemia in the Offspring of Mothers with Gestational Diabetes Mellitus.

Zhang T, Wang P, Liu H, Wang L, Li W, Leng J, Li N, Zhang S, Qi L, Tuomilehto J, Yu Z, Yang X, Hu G.

Sci Rep. 2017 Jan 25;7:41115. doi: 10.1038/srep41115.

10.

Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour.

Chung LM, Fong SS.

Health Psychol Open. 2015 Jan 15;2(1):2055102914567972. doi: 10.1177/2055102914567972. eCollection 2015 Jan.

11.

Associations of sedentary behavior and physical activity with physical measurements and dyslipidemia in school-age children: a cross-sectional study.

Zheng W, Chen Y, Zhao A, Xue Y, Zheng Y, Mu Z, Wang P, Zhang Y.

BMC Public Health. 2016 Nov 24;16(1):1186.

12.

Physical activity and sedentary behavior in Belgium (BNFCS2014): design, methods and expected outcomes.

Lebacq T, Ost C, Bel S, Brocatus L, Teppers E, Cuypers K, Tafforeau J, De Ridder KA.

Arch Public Health. 2016 Oct 17;74:44. eCollection 2016.

13.

Mediating effects of dietary intake on associations of TV viewing, body mass index and metabolic syndrome in adolescents.

Fletcher EA, McNaughton SA, Lacy KE, Dunstan DW, Carson V, Salmon J.

Obes Sci Pract. 2016 Sep;2(3):232-240. Epub 2016 Jul 29.

14.

The prevalence of obesity and influence of early life and behavioral factors on obesity in Chinese children in Guangzhou.

Zhang T, Cai L, Ma L, Jing J, Chen Y, Ma J.

BMC Public Health. 2016 Sep 9;16:954. doi: 10.1186/s12889-016-3599-3.

15.

Normative reference values for the 20 m shuttle-run test in a population-based sample of school-aged youth in Bogota, Colombia: the FUPRECOL study.

Ramírez-Vélez R, Palacios-López A, Humberto Prieto-Benavides D, Enrique Correa-Bautista J, Izquierdo M, Alonso-Martínez A, Lobelo F.

Am J Hum Biol. 2017 Jan;29(1). doi: 10.1002/ajhb.22902. Epub 2016 Aug 8.

16.

Mothers' views of their preschool child's screen-viewing behaviour: a qualitative study.

Bentley GF, Turner KM, Jago R.

BMC Public Health. 2016 Aug 4;16:718. doi: 10.1186/s12889-016-3440-z.

17.

Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis.

Aceves-Martins M, Llauradó E, Tarro L, Moreno-García CF, Trujillo Escobar TG, Solà R, Giralt M.

Nutr Rev. 2016 May;74(5):337-51. doi: 10.1093/nutrit/nuw004. Epub 2016 Mar 27. Review.

18.

Two-year longitudinal health-related fitness, anthropometry and body composition status amongst adolescents in Tlokwe Municipality: The PAHL Study.

Toriola OO, Monyeki MA, Toriola AL.

Afr J Prim Health Care Fam Med. 2015 Oct 30;7(1):896. doi: 10.4102/phcfm.v7i1.896.

19.

The correlates of after-school sedentary behavior among children aged 5-18 years: a systematic review.

Arundell L, Fletcher E, Salmon J, Veitch J, Hinkley T.

BMC Public Health. 2016 Jan 22;16:58. doi: 10.1186/s12889-015-2659-4. Review.

20.

Integrative Treatment of Pediatric Obesity: Psychological and Spiritual Considerations.

Boisvert JA, Harrell WA.

Integr Med (Encinitas). 2015 Feb;14(1):40-7. Review.

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