Literature DB >> 28538259

Cardiometabolic Correlates of Physical Activity and Sedentary Patterns in U.S. Youth.

Gabrielle P Jenkins1, Kelly R Evenson, Amy H Herring, Derek Hales, June Stevens.   

Abstract

INTRODUCTION: Daily or weekly averages of physical activity and sedentary behavior could mask patterns of behavior throughout the week that independently affect cardiovascular health. We examined associations between day-to-day physical activity and sedentary behavior latent classes and cardiovascular disease (CVD) risk factors in U.S. youth.
METHODS: Data were from 3984 youth ages 6-17 yr from the National Health and Nutrition Examination Survey (2003-2006) and from previously published accelerometry latent classes characterizing average counts per minute and percent of wear time in moderate-to-vigorous physical activity (MVPA) and sedentary behavior. Multiple linear regression was used to examine associations of the classes with waist circumference, systolic and diastolic blood pressure, HDL-C and LDL-C, triglycerides, glucose, and insulin.
RESULTS: Participants spent 50.4% of the day in sedentary behavior and 5.3% of the day in moderate-to-vigorous physical activity. Average counts per minute were 516.4 for a 7-d period. Significant differences in CVD risk factors were between extreme classes with few differences observed in intermediate classes. Youth in latent class 4 (highest average counts per minute) had lower systolic blood pressure (-4.11 mm Hg, 95% confidence interval [CI] = -7.74 to -0.55), lower glucose (-4.25 mg·dL, 95% CI = -7.84 to -0.66]), and lower insulin (-6.83 μU·mL, 95% CI = -8.66 to -4.99]) compared with youth in class 1 (lowest average counts per minute). Waist circumference was lower for the least sedentary class (-2.54 cm, 95% CI = -4.90 to -0.19) compared with the most sedentary class. Some associations were attenuated when classes were adjusted for mean physical activity or sedentary level.
CONCLUSIONS: There is some indication that patterns, in addition to the total amount of physical activity and sedentary behavior, may be important for cardiovascular health in youth. Longitudinal studies are needed to examine associations between physical activity and sedentary behavior patterns and changes in CVD risk factors.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28538259      PMCID: PMC5976486          DOI: 10.1249/MSS.0000000000001310

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  25 in total

1.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association.

Authors:  William L Haskell; I-Min Lee; Russell R Pate; Kenneth E Powell; Steven N Blair; Barry A Franklin; Caroline A Macera; Gregory W Heath; Paul D Thompson; Adrian Bauman
Journal:  Circulation       Date:  2007-08-01       Impact factor: 29.690

Review 2.  Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association.

Authors:  Miriam E Nelson; W Jack Rejeski; Steven N Blair; Pamela W Duncan; James O Judge; Abby C King; Carol A Macera; Carmen Castaneda-Sceppa
Journal:  Med Sci Sports Exerc       Date:  2007-08       Impact factor: 5.411

3.  Length of moderate-to-vigorous physical activity bouts and cardio-metabolic risk factors in elementary school children.

Authors:  Erik A Willis; Lauren T Ptomey; Amanda N Szabo-Reed; Jeffery J Honas; Jaehoon Lee; Richard A Washburn; Joseph E Donnelly
Journal:  Prev Med       Date:  2015-01-31       Impact factor: 4.018

4.  Co-varying patterns of physical activity and sedentary behaviors and their long-term maintenance among adolescents.

Authors:  Jihong Liu; Jinseok Kim; Natalie Colabianchi; Andrew Ortaglia; Russell R Pate
Journal:  J Phys Act Health       Date:  2010-07

5.  Childhood obesity, other cardiovascular risk factors, and premature death.

Authors:  Paul W Franks; Robert L Hanson; William C Knowler; Maurice L Sievers; Peter H Bennett; Helen C Looker
Journal:  N Engl J Med       Date:  2010-02-11       Impact factor: 91.245

6.  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

7.  Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001-2006.

Authors:  William D Johnson; Jolanda J M Kroon; Frank L Greenway; Claude Bouchard; Donna Ryan; Peter T Katzmarzyk
Journal:  Arch Pediatr Adolesc Med       Date:  2009-04

8.  Childhood body-mass index and the risk of coronary heart disease in adulthood.

Authors:  Jennifer L Baker; Lina W Olsen; Thorkild I A Sørensen
Journal:  N Engl J Med       Date:  2007-12-06       Impact factor: 91.245

9.  Does the fractionalization of daily physical activity (sporadic vs. bouts) impact cardiometabolic risk factors in children and youth?

Authors:  Rebecca M Holman; Valerie Carson; Ian Janssen
Journal:  PLoS One       Date:  2011-10-05       Impact factor: 3.240

10.  Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: a cross-sectional study.

Authors:  Valerie Carson; Ian Janssen
Journal:  BMC Public Health       Date:  2011-05-04       Impact factor: 3.295

View more
  12 in total

1.  Interstitial glucose and subsequent affective and physical feeling states: A pilot study combining continuous glucose monitoring and ecological momentary assessment in adolescents.

Authors:  Jennifer Zink; Michele Nicolo; Kellie Imm; Shayan Ebrahimian; Qihan Yu; Kyuwan Lee; Kaylie Zapanta; Jimi Huh; Genevieve F Dunton; Michael I Goran; Kathleen A Page; Christina M Dieli-Conwright; Britni R Belcher
Journal:  J Psychosom Res       Date:  2020-05-15       Impact factor: 3.006

2.  Five Weeks of Aquatic-Calisthenic High Intensity Interval Training Improves Cardiorespiratory Fitness and Body Composition in Sedentary Young Adults.

Authors:  Brittany B McDaniel; Mildred R Naquin; Bovorn Sirikul; Robert R Kraemer
Journal:  J Sports Sci Med       Date:  2020-02-24       Impact factor: 2.988

3.  Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.

Authors:  Erin K Howie; Anne L Smith; Joanne A McVeigh; Leon M Straker
Journal:  Int J Behav Med       Date:  2018-10

4.  Sedentary behavior moderates the relationship between physical activity and cardiometabolic risk in young Latino children.

Authors:  Jamil A Malik; Jennifer Coto; Elizabeth R Pulgaron; Amber Daigre; Janine E Sanchez; Ronald B Goldberg; Dawn K Wilson; Alan M Delamater
Journal:  Transl Behav Med       Date:  2021-08-13       Impact factor: 3.046

5.  Cross-Sectional and Longitudinal Associations between Non-School Time Physical Activity, Sedentary Time, and Adiposity among Boys and Girls: An Isotemporal Substitution Approach.

Authors:  Kelsey L McAlister; Jennifer Zink; Daniel Chu; Britni R Belcher; Genevieve F Dunton
Journal:  Int J Environ Res Public Health       Date:  2021-04-27       Impact factor: 3.390

6.  Behavioral classes related to physical activity and sedentary behavior on the evaluation of health and mental outcomes among Brazilian adolescents.

Authors:  Fernanda Rocha de Faria; Valter Paulo Neves Miranda; Cheryl A Howe; Jeffer Eidi Sasaki; Paulo Roberto Dos Santos Amorim
Journal:  PLoS One       Date:  2020-06-22       Impact factor: 3.240

7.  Combined Patterns Of Physical Activity And Screen-Related Sedentary Behavior Among Chinese Adolescents And Their Correlations With Depression, Anxiety And Self-Injurious Behaviors.

Authors:  Mingli Liu; Jie Zhang; Elwin Hu; Huilan Yang; Chang Cheng; Shuqiao Yao
Journal:  Psychol Res Behav Manag       Date:  2019-11-11

8.  Higher number of steps and breaks during sedentary behaviour are associated with better lipid profiles.

Authors:  Sonja Aho; Meri-Sisko Vuoristo; Jani Raitanen; Kirsi Mansikkamäki; Johanna Alanko; Henri Vähä-Ypyä; Riitta Luoto; Pirkko-Liisa Kellokumpu-Lehtinen; Tommi Vasankari
Journal:  BMC Public Health       Date:  2021-03-31       Impact factor: 3.295

9.  Ecological correlates related to adolescent movement behaviors: A latent class analysis.

Authors:  Isabella Toledo Caetano; Valter Paulo Neves Miranda; Fernanda Karina Dos Santos; Paulo Roberto Dos Santos Amorim
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

10.  Trends and Risk Factors of Metabolic Syndrome among Korean Adolescents, 2007 to 2018.

Authors:  Jiun Chae; Moon Young Seo; Shin-Hye Kim; Mi Jung Park
Journal:  Diabetes Metab J       Date:  2021-07-06       Impact factor: 5.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.