Literature DB >> 35576135

Cross-Sectional and Longitudinal Associations of Lifestyle Behaviors with Pericardial Adipose Tissue: The MESA Study.

Minsuk Oh1, David R Jacobs2, Kelley Pettee Gabriel3, Wei Bao4, Gary L Pierce5, Lucas J Carr5, Jingzhong Ding6, Kara M Whitaker.   

Abstract

PURPOSE: We examined associations of sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous intensity physical activity (MVPA) with pericardial adipose tissue (PAT).
METHODS: Adults from the Multi-Ethnic Study of Atherosclerosis were included from exam years 1 (2000-2002; N = 6057; mean age, 62.2 yr; 52.9% female, 38.0% White; 12.8% Chinese American, 26.7% African American, 22.5% Hispanic American), 2 (2002-2004), and 3 (2004-2005). Weekly volume of SB, LPA, and MVPA (in MET-hours per week) was reported using a questionnaire. PAT volume (in cubic centimeters) was quantified using computed tomography, analysis of covariance, and repeated-measures linear mixed models with adjustment for covariates (sociodemographics, cardiovascular disease risk factors, inflammation, waist circumference) tested cross-sectional and longitudinal associations, respectively.
RESULTS: In cross-sectional analysis, the highest tertile of SB (β = 2.71; 95% confidence interval (CI), 0.69 to 4.73; P < 0.01) and the middle tertile of MVPA (β = -1.97; 95% CI, -3.92 to -0.02; P < 0.05) were associated with PAT, whereas no association was observed for LPA in fully adjusted models. In longitudinal models, SB, LPA, and MVPA were not associated with PAT in the full study sample; however, LPA was inversely associated with PAT among Whites in stratified analysis (β = -0.54; 95% CI, -0.95 to -0.13; P < 0.05).
CONCLUSIONS: Lower SB and higher LPA (among Whites only) and MVPA may be associated with lower PAT, but additional longitudinal research is needed.
Copyright © 2022 by the American College of Sports Medicine.

Entities:  

Mesh:

Year:  2022        PMID: 35576135      PMCID: PMC9139422          DOI: 10.1249/MSS.0000000000002866

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


  49 in total

1.  Adherence to exercise prescriptions: effects of prescribing moderate versus higher levels of intensity and frequency.

Authors:  Michael G Perri; Stephen D Anton; Patricia E Durning; Timothy U Ketterson; Sumner J Sydeman; Nicole E Berlant; William F Kanasky; Robert L Newton; Marian C Limacher; A Daniel Martin
Journal:  Health Psychol       Date:  2002-09       Impact factor: 4.267

Review 2.  Physical activity and sedentary behavior: a review of longitudinal studies of weight and adiposity in youth.

Authors:  A Must; D J Tybor
Journal:  Int J Obes (Lond)       Date:  2005-09       Impact factor: 5.095

Review 3.  The influence of physical activity on abdominal fat: a systematic review of the literature.

Authors:  S J Kay; M A Fiatarone Singh
Journal:  Obes Rev       Date:  2006-05       Impact factor: 9.213

4.  Pericardial rather than epicardial fat is a cardiometabolic risk marker: an MRI vs echo study.

Authors:  Rosa Sicari; Anna Maria Sironi; Roberta Petz; Francesca Frassi; Vladislav Chubuchny; Daniele De Marchi; Vincenzo Positano; Massimo Lombardi; Eugenio Picano; Amalia Gastaldelli
Journal:  J Am Soc Echocardiogr       Date:  2011-07-26       Impact factor: 5.251

Review 5.  Health Benefits of Light-Intensity Physical Activity: A Systematic Review of Accelerometer Data of the National Health and Nutrition Examination Survey (NHANES).

Authors:  Eszter Füzéki; Tobias Engeroff; Winfried Banzer
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

6.  Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat.

Authors:  Ian Janssen; Steven B Heymsfield; David B Allison; Donald P Kotler; Robert Ross
Journal:  Am J Clin Nutr       Date:  2002-04       Impact factor: 7.045

7.  Biomarkers of inflammation and hemostasis associated with left ventricular mass: The Multiethnic Study of Atherosclerosis (MESA).

Authors:  Donna K Arnett; Robyn L McClelland; Alan Bank; David A Bluemke; Mary Cushman; Alexander J Szalai; Nishank Jain; Antoinette S Gomes; Susan R Heckbert; W Gregory Hundley; João A Lima
Journal:  Int J Mol Epidemiol Genet       Date:  2011-11-28

8.  The association between physical activity and subclinical atherosclerosis: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Alain G Bertoni; Melicia C Whitt-Glover; Hyoju Chung; Katherine Y Le; R Graham Barr; Mahadevappa Mahesh; Nancy S Jenny; Gregory L Burke; David R Jacobs
Journal:  Am J Epidemiol       Date:  2008-12-15       Impact factor: 4.897

9.  Moderate-to-vigorous intensity physical activity trajectories during adolescence and young adulthood predict adiposity in young adulthood: The Iowa Bone Development Study.

Authors:  Minsuk Oh; Dong Zhang; Kara M Whitaker; Elena M Letuchy; Kathleen F Janz; Steven M Levy
Journal:  J Behav Med       Date:  2020-10-17

10.  Higher pericardial adiposity is associated with prevalent diabetes: The Coronary Artery Risk Development in Young Adults study.

Authors:  A C Alman; D R Jacobs; C E Lewis; J K Snell-Bergeon; M R Carnethon; J G Terry; D C Goff; J Ding; J J Carr
Journal:  Nutr Metab Cardiovasc Dis       Date:  2015-12-25       Impact factor: 4.666

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