Literature DB >> 27867201

Does body mass index modify the association between physical activity and screen time with cardiometabolic risk factors in adolescents? Findings from a country-wide survey.

F V Cureau1,2, U Ekelund2,3, K V Bloch4, B D Schaan1,5.   

Abstract

BACKGROUND: Moderate and vigorous physical activity (MVPA) and screen time (ST) have been associated with cardiometabolic health in youth. However, previous studies are conflicting whether these associations are independent of each other and it is unknown if they are modified by adiposity. We aimed to examine the independent and joint associations between MVPA and ST with cardiometabolic risk across body mass index (BMI) categories.
METHODS: A total of 36 956 Brazilian adolescents (12-17 years) from the Study of Cardiovascular Risks in Adolescents were included. Information on time spent in MVPA and ST were assessed by self-reports. Blood pressure, Homeostasis Model Assessment of Insulin Resistance, triglycerides, high-density lipoprotein-cholesterol and waist circumference were used to calculate a cardiometabolic risk score (sex-age-specific top-risk quintile for each biomarker). Ordered logistic regression was used to examine the associations.
RESULTS: In final adjusted models, both higher MVPA (proportional odds ratio (POR)=0.80; 95% confidence interval (CI): 0.67-0.95) and ST (POR=1.23; 95% CI: 1.10-1.37) were independently associated with cardiometabolic risk. After stratification by normal weight vs overweight/obese, the inverse independent association for MVPA remained unchanged, whereas ST was positively associated with cardiometabolic risk only in overweight/obese adolescents (POR=1.62; 95% CI: 1.18-2.22). Participants who met the recommendations for both MVPA and ST had lower odds for cardiometabolic risk, especially if they were overweight/obese (POR=0.46; 95% CI: 0.31-0.68).
CONCLUSIONS: MVPA and ST are independently associated with cardiometabolic risk; the association with ST, however, appears modified by BMI. Normal-weight adolescents should be encouraged to increase MVPA, whereas a combination of increasing MVPA and decreasing ST is recommended in those who are overweight or obese.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27867201     DOI: 10.1038/ijo.2016.210

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  33 in total

1.  [Validity and reproducibility of a physical activity questionnaire for adolescents: adapting the Self-Administered Physical Activity Checklist].

Authors:  José Cazuza de Farias; Adair da Silva Lopes; Jorge Mota; Maria Paula Santos; José Carlos Ribeiro; Pedro Curi Hallal
Journal:  Rev Bras Epidemiol       Date:  2012-03

2.  Validation of the Omron 705 IT oscillometric device for home blood pressure measurement in children and adolescents: the Arsakion School Study.

Authors:  George S Stergiou; Nikolaos G Yiannes; Vayia C Rarra
Journal:  Blood Press Monit       Date:  2006-08       Impact factor: 1.444

3.  Television viewing over the life course and the metabolic syndrome in mid-adulthood: a longitudinal population-based study.

Authors:  Patrik Wennberg; Per E Gustafsson; Bethany Howard; Maria Wennberg; Anne Hammarström
Journal:  J Epidemiol Community Health       Date:  2014-03-24       Impact factor: 3.710

4.  Changes in metabolic syndrome in American and Korean youth, 1997-2008.

Authors:  Soo Lim; Hak Chul Jang; Kyong Soo Park; Sung Il Cho; Man-Gyoon Lee; Hyojee Joung; Arupendra Mozumdar; Gary Liguori
Journal:  Pediatrics       Date:  2012-12-03       Impact factor: 7.124

5.  Combined influence of physical activity and screen time recommendations on childhood overweight.

Authors:  Kelly R Laurson; Joey C Eisenmann; Gregory J Welk; Eric E Wickel; Douglas A Gentile; David A Walsh
Journal:  J Pediatr       Date:  2008-04-16       Impact factor: 4.406

6.  Associations of television viewing with eating behaviors in the 2009 Health Behaviour in School-aged Children Study.

Authors:  Leah M Lipsky; Ronald J Iannotti
Journal:  Arch Pediatr Adolesc Med       Date:  2012-05

7.  Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study).

Authors:  Lars Bo Andersen; Maarike Harro; Luis B Sardinha; Karsten Froberg; Ulf Ekelund; Søren Brage; Sigmund Alfred Anderssen
Journal:  Lancet       Date:  2006-07-22       Impact factor: 79.321

8.  Independent and combined effects of physical activity and sedentary behavior on blood pressure in adolescents: gender differences in two cross-sectional studies.

Authors:  Augusto César Ferreira de Moraes; Heráclito Barbosa Carvalho; Juan Pablo Rey-López; Luis Gracia-Marco; Laurent Beghin; Anthony Kafatos; David Jiménez-Pavón; Dénes Molnar; Stefaan De Henauw; Yannis Manios; Kurt Widhalm; Jonatan R Ruiz; Francisco B Ortega; Michael Sjöström; Angela Polito; Raquel Pedrero-Chamizo; Ascensión Marcos; Frederic Gottrand; Luis A Moreno
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

9.  Joint Association of Screen Time and Physical Activity with Cardiometabolic Risk Factors in a National Sample of Iranian Adolescents: The CASPIANIII Study.

Authors:  Ramin Heshmat; Mostafa Qorbani; Amir Eslami Shahr Babaki; Shirin Djalalinia; Asal Ataei-Jafari; Mohammad Esmaeil Motlagh; Gelayol Ardalan; Tahereh Arefirad; Fatemeh Rezaei; Hamid Asayesh; Roya Kelishadi
Journal:  PLoS One       Date:  2016-05-11       Impact factor: 3.240

10.  ERICA: leisure-time physical inactivity in Brazilian adolescents.

Authors:  Felipe Vogt Cureau; Thiago Luiz Nogueira da Silva; Katia Vergetti Bloch; Elizabeth Fujimori; Dilson Rodrigues Belfort; Kênia Mara Baiocchi de Carvalho; Elisa Brosina de Leon; Mauricio Teixeira Leite de Vasconcellos; Ulf Ekelund; Beatriz D Schaan
Journal:  Rev Saude Publica       Date:  2016-02-23       Impact factor: 2.106

View more
  7 in total

1.  Physical Activity and Sedentary Time Associations with Metabolic Health Across Weight Statuses in Children and Adolescents.

Authors:  Nicholas Kuzik; Valerie Carson; Lars Bo Andersen; Luís B Sardinha; Anders Grøntved; Bjørge Herman Hansen; Ulf Ekelund
Journal:  Obesity (Silver Spring)       Date:  2017-08-07       Impact factor: 5.002

2.  Health-Risk Behaviors and Dietary Patterns Among Jordanian College Students: A Pilot Study.

Authors:  Hana Alkhalidy; Aliaa Orabi; Tamara Alzboun; Khadeejah Alnaser; Islam Al-Shami; Nahla Al-Bayyari
Journal:  Front Nutr       Date:  2021-05-14

3.  Prevalence of high screen time and associated factors among students: a cross-sectional study in Zhejiang, China.

Authors:  Hao Wang; Jieming Zhong; Ruying Hu; Bragg Fiona; Min Yu; Huaidong Du
Journal:  BMJ Open       Date:  2018-06-19       Impact factor: 2.692

4.  Television viewing time and all-cause mortality: interactions with BMI, physical activity, smoking, and dietary factors.

Authors:  Christopher T V Swain; Julie K Bassett; Allison M Hodge; David W Dunstan; Neville Owen; Yi Yang; Harindra Jayasekara; James R Hébert; Nitin Shivappa; Robert J MacInnis; Roger L Milne; Dallas R English; Brigid M Lynch
Journal:  Int J Behav Nutr Phys Act       Date:  2022-03-19       Impact factor: 6.457

Review 5.  Exercise training maintains cardiovascular health: signaling pathways involved and potential therapeutics.

Authors:  Huihua Chen; Chen Chen; Michail Spanos; Guoping Li; Rong Lu; Yihua Bei; Junjie Xiao
Journal:  Signal Transduct Target Ther       Date:  2022-09-01

6.  The Associations between Dietary Patterns and Sedentary Behaviors in Polish Adults (LifeStyle Study).

Authors:  Marzena Jezewska-Zychowicz; Jerzy Gębski; Dominika Guzek; Monika Świątkowska; Dagmara Stangierska; Marta Plichta; Milena Wasilewska
Journal:  Nutrients       Date:  2018-08-01       Impact factor: 5.717

7.  Adolescent Physical Activity at Public Schools, Private Schools, and Homeschools, United States, 2014.

Authors:  Calvin P Tribby; April Oh; Frank Perna; David Berrigan
Journal:  Prev Chronic Dis       Date:  2020-08-20       Impact factor: 2.830

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.