Literature DB >> 20637798

Association of the home environment with cardiovascular and metabolic biomarkers in youth.

Donald R Dengel1, Mary O Hearst, Joe H Harmon, John Sirard, Carrie D Heitzler, Leslie A Lytle.   

Abstract

OBJECTIVE: To examine the relationship between the home environment and biomarkers associated with the cardiovascular and metabolic risks in adolescents.
METHODS: Three hundred fifty-eight adolescents (185 males and 173 females) living in the Twin Cities Metropolitan Area, Minnesota, between the ages of 10-17 years agreed to participate. Data were collected from August 2006 through March 2008. A fasting blood sample was drawn and assayed for insulin, glucose and lipids. Resting blood pressure, percent body fat (PBF) and body mass index were also measured. The home environment was assessed using a self-report of physical activity (PA) and media inventory (PAMI) completed by the parents. Density of PA and media equipment was calculated by summing the number of items present in the home and dividing by the total number of locations in the home. PA and screen media density were modeled as independent variables.
RESULTS: Our results found that the density of PA equipment was negatively associated with insulin levels, low-density lipoprotein (LDL), total cholesterol, insulin resistance, and PBF. Media density was positively associated with insulin, LDL, total cholesterol, and PBF.
CONCLUSIONS: The results of this study suggest that the home environment is associated with metabolic and cardiovascular health in adolescents.
Copyright © 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20637798      PMCID: PMC2939178          DOI: 10.1016/j.ypmed.2010.07.004

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  10 in total

1.  Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report.

Authors: 
Journal:  Circulation       Date:  2002-12-17       Impact factor: 29.690

2.  Evaluating a model of youth physical activity.

Authors:  Carrie D Heitzler; Leslie A Lytle; Darin J Erickson; Daheia Barr-Anderson; John R Sirard; Mary Story
Journal:  Am J Health Behav       Date:  2010 Sep-Oct

3.  The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  Yong-Woo Park; Shankuan Zhu; Latha Palaniappan; Stanley Heshka; Mercedes R Carnethon; Steven B Heymsfield
Journal:  Arch Intern Med       Date:  2003-02-24

4.  Television, computer use and body mass index in Australian primary school children.

Authors:  M Wake; K Hesketh; E Waters
Journal:  J Paediatr Child Health       Date:  2003-03       Impact factor: 1.954

5.  Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

Authors:  D R Matthews; J P Hosker; A S Rudenski; B A Naylor; D F Treacher; R C Turner
Journal:  Diabetologia       Date:  1985-07       Impact factor: 10.122

6.  Examining the etiology of childhood obesity: The IDEA study.

Authors:  Leslie A Lytle
Journal:  Am J Community Psychol       Date:  2009-12

7.  Dose-response relation between physical activity and blood pressure in youth.

Authors:  Amy E Mark; Ian Janssen
Journal:  Med Sci Sports Exerc       Date:  2008-06       Impact factor: 5.411

8.  A self-report measure of pubertal status: Reliability, validity, and initial norms.

Authors:  A C Petersen; L Crockett; M Richards; A Boxer
Journal:  J Youth Adolesc       Date:  1988-04

9.  TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study.

Authors:  Ulf Ekelund; Søren Brage; Karsten Froberg; Maarike Harro; Sigmund A Anderssen; Luis B Sardinha; Chris Riddoch; Lars Bo Andersen
Journal:  PLoS Med       Date:  2006-12       Impact factor: 11.069

10.  Validity and reliability of a home environment inventory for physical activity and media equipment.

Authors:  John R Sirard; Melissa C Nelson; Mark A Pereira; Leslie A Lytle
Journal:  Int J Behav Nutr Phys Act       Date:  2008-04-29       Impact factor: 6.457

  10 in total
  5 in total

1.  Stressed out and overcommitted! The relationships between time demands and family rules and parents' and their child's weight status.

Authors:  Mary O Hearst; Sarah Sevcik; Jayne A Fulkerson; Keryn E Pasch; Lisa J Harnack; Leslie A Lytle
Journal:  Health Educ Behav       Date:  2012-01-06

2.  Dog ownership and adolescent physical activity.

Authors:  John R Sirard; Carrie D Patnode; Mary O Hearst; Melissa N Laska
Journal:  Am J Prev Med       Date:  2011-03       Impact factor: 5.043

3.  Relationships of physical activity and sedentary time in obese parent-child dyads: a cross-sectional study.

Authors:  Robert G McMurray; Diane C Berry; Todd A Schwartz; Emily G Hall; Madeline N Neal; Siying Li; Diana Lam
Journal:  BMC Public Health       Date:  2016-02-06       Impact factor: 3.295

4.  Breakfast and fast food consumption are associated with selected biomarkers in adolescents.

Authors:  Kara L Marlatt; Kian Farbakhsh; Donald R Dengel; Leslie A Lytle
Journal:  Prev Med Rep       Date:  2015-12-04

5.  The Importance of Pedestrian Network Connectivity for Adolescent Health: A Cross-sectional Examination of Associations between Neighbourhood Built Environments and Metabolic Health in the Pacific Islands Families Birth Cohort Study.

Authors:  Melody Smith; Vlad Obolonkin; Lindsay Plank; Leon Iusitini; Euan Forsyth; Tom Stewart; Janis Paterson; El-Shadan Tautolo; Fa'asisila Savila; Elaine Rush
Journal:  Int J Environ Res Public Health       Date:  2019-09-12       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.