Literature DB >> 29477492

Clustering of Health Behaviors and Cardiorespiratory Fitness Among U.S. Adolescents.

Jacob Hartz1, Leah Yingling2, Colby Ayers3, Joel Adu-Brimpong2, Joshua Rivers2, Chaarushi Ahuja2, Tiffany M Powell-Wiley4.   

Abstract

PURPOSE: Decreased cardiorespiratory fitness (CRF) is associated with an increased risk of cardiovascular disease. However, little is known how the interaction of diet, physical activity (PA), and sedentary time (ST) affects CRF among adolescents. By using a nationally representative sample of U.S. adolescents, we used cluster analysis to investigate the interactions of these behaviors with CRF. We hypothesized that distinct clustering patterns exist and that less healthy clusters are associated with lower CRF.
METHODS: We used 2003-2004 National Health and Nutrition Examination Survey data for persons aged 12-19 years (N = 1,225). PA and ST were measured objectively by an accelerometer, and the American Heart Association Healthy Diet Score quantified diet quality. Maximal oxygen consumption (V˙O2​max) was measured by submaximal treadmill exercise test. We performed cluster analysis to identify sex-specific clustering of diet, PA, and ST. Adjusting for accelerometer wear time, age, body mass index, race/ethnicity, and the poverty-to-income ratio, we performed sex-stratified linear regression analysis to evaluate the association of cluster with V˙O2​max.
RESULTS: Three clusters were identified for girls and boys. For girls, there was no difference across clusters for age (p = .1), weight (p = .3), and BMI (p = .5), and no relationship between clusters and V˙O2​max. For boys, the youngest cluster (p < .01) had three healthy behaviors, weighed less, and was associated with a higher V˙O2​max compared with the two older clusters.
CONCLUSIONS: We observed clustering of diet, PA, and ST in U.S. adolescents. Specific patterns were associated with lower V˙O2​max for boys, suggesting that our clusters may help identify adolescent boys most in need of interventions. Published by Elsevier Inc.

Entities:  

Keywords:  Cardiorespiratory fitness; Cluster analysis; Nutritional status; Sedentary lifestyles

Mesh:

Year:  2018        PMID: 29477492      PMCID: PMC5930079          DOI: 10.1016/j.jadohealth.2017.11.298

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  31 in total

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2.  Physical activity in U.S. youth aged 12-15 years, 2012.

Authors:  Tala H I Fakhouri; Jeffery P Hughes; Vicki L Burt; MinKyoung Song; Janet E Fulton; Cynthia L Ogden
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3.  Poor Adherence to US Dietary Guidelines for Children and Adolescents in the National Health and Nutrition Examination Survey Population.

Authors:  Emilyn C Banfield; Yan Liu; Jennifer S Davis; Shine Chang; Alexis C Frazier-Wood
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4.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.

Authors:  Ross L Prentice; Yasmin Mossavar-Rahmani; Ying Huang; Linda Van Horn; Shirley A A Beresford; Bette Caan; Lesley Tinker; Dale Schoeller; Sheila Bingham; Charles B Eaton; Cynthia Thomson; Karen C Johnson; Judy Ockene; Gloria Sarto; Gerardo Heiss; Marian L Neuhouser
Journal:  Am J Epidemiol       Date:  2011-07-15       Impact factor: 4.897

5.  Development of youth aerobic-capacity standards using receiver operating characteristic curves.

Authors:  Gregory J Welk; Kelly R Laurson; Joey C Eisenmann; Kirk J Cureton
Journal:  Am J Prev Med       Date:  2011-10       Impact factor: 5.043

6.  The effect of a physical activity intervention on bias in self-reported activity.

Authors:  Daniel R Taber; June Stevens; David M Murray; John P Elder; Larry S Webber; Jared B Jobe; Leslie A Lytle
Journal:  Ann Epidemiol       Date:  2009-02-20       Impact factor: 3.797

7.  Clustering of multiple lifestyle behaviors and health-related fitness in European adolescents.

Authors:  Magdalena Cuenca-García; Inge Huybrechts; Jonatan R Ruiz; Francisco B Ortega; Charlene Ottevaere; Marcela González-Gross; Luis A Moreno; Germán Vicente-Rodríguez; Denés Molnár; Angela Polito; Yannis Manios; Maria Plada; Jeremy Vanhelst; Kurt Widhalm; Michael Sjöström; Mathilde Kersting; Manuel J Castillo
Journal:  J Nutr Educ Behav       Date:  2013-05-21       Impact factor: 3.045

8.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

Review 9.  Sedentary behaviour across the primary-secondary school transition: A systematic review.

Authors:  Natalie Pearson; Emma Haycraft; Julie P Johnston; Andrew J Atkin
Journal:  Prev Med       Date:  2016-11-14       Impact factor: 4.018

10.  Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.

Authors:  Carlos A Celis-Morales; Francisco Perez-Bravo; Luis Ibañez; Carlos Salas; Mark E S Bailey; Jason M R Gill
Journal:  PLoS One       Date:  2012-05-09       Impact factor: 3.240

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Review 1.  Use of latent class analysis as a method of assessing the physical activity level, sedentary behavior and nutritional habit in the adolescents' lifestyle: A scoping review.

Authors:  Valter Paulo Neves Miranda; Danilo Reis Coimbra; Ronaldo Rocha Bastos; Márcio Vidigal Miranda Júnior; Paulo Roberto Dos Santos Amorim
Journal:  PLoS One       Date:  2021-08-19       Impact factor: 3.240

2.  Activity-related behavior typologies in youth: a systematic review.

Authors:  Kate E Parker; Jo Salmon; Sarah A Costigan; Karen Villanueva; Helen L Brown; Anna Timperio
Journal:  Int J Behav Nutr Phys Act       Date:  2019-05-16       Impact factor: 6.457

3.  Clustering of multiple lifestyle behaviors among migrant, left-behind and local adolescents in China: a cross-sectional study.

Authors:  Li He; Xiaoyan Li; Weidong Wang; Youfa Wang; Haiyan Qu; Yang Zhao; Danhua Lin
Journal:  BMC Public Health       Date:  2021-03-19       Impact factor: 3.295

  3 in total

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