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Published in: European Journal of Applied Physiology 5/2014

01-05-2014 | Original Article

Associations of objectively measured sedentary behavior, light activity, and markers of cardiometabolic health in young women

Authors: Amber N. Green, Ryan McGrath, Vanessa Martinez, Katrina Taylor, David R. Paul, Chantal A. Vella

Published in: European Journal of Applied Physiology | Issue 5/2014

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Abstract

Purpose

To investigate the associations among objectively measured sedentary behavior, light physical activity, and markers of cardiometabolic health in young women.

Methods

Cardiovascular disease risk factors, homeostasis model assessment for insulin resistance (HOMA-IR), lipid accumulation product, and inflammatory markers were measured in 50 young, adult women. Accelerometers were worn over 7 days to assess sedentary time (<150 counts min−1), light physical activity (150–2,689 counts min−1), and moderate-to-vigorous physical activity (MVPA; ≥2,690 counts min−1). Multivariate regression examined independent associations of sedentary behavior and light physical activity with cardiometabolic health. Covariates included MVPA, cardiorespiratory fitness (VO2peak) and body mass, and body composition.

Results

Sedentary behavior was associated with triglycerides (p = 0.03) and lipid accumulation product (p = 0.02) independent of MVPA. These associations were attenuated by VO2peak and body mass or body composition (p ≥ 0.05). Light physical activity was independently associated with triglycerides and lipid accumulation product after adjustment for all covariates (p < 0.05). The association between light physical activity and HOMA-IR was independent of MVPA (p = 0.02) but was attenuated by VO2peak and body mass or body composition (p > 0.05).

Conclusions

Sedentary behavior and light physical activity were independently associated with markers of cardiometabolic health in young, adult women. Our data suggest that VO2peak and body composition may be important mediators of these associations. Decreasing sedentary behavior and increasing light physical activity may be important for maintaining cardiometabolic health in young, adult women.
Literature
go back to reference Abdulnour J, Boulay P, Brochu M, Rabasa-Lhoret R, Yasari S, Prud’homme D (2010) Relationship between the percentage of predicted cardiorespiratory fitness and cardiovascular disease risk factors in premenopausal women: a MONET study. Climacteric 13(4):347–354. doi:10.3109/13697130903276422 PubMedCrossRef Abdulnour J, Boulay P, Brochu M, Rabasa-Lhoret R, Yasari S, Prud’homme D (2010) Relationship between the percentage of predicted cardiorespiratory fitness and cardiovascular disease risk factors in premenopausal women: a MONET study. Climacteric 13(4):347–354. doi:10.​3109/​1369713090327642​2 PubMedCrossRef
go back to reference Anderssen SA, Cooper AR, Riddoch C, Sardinha LB, Harro M, Brage S, Andersen LB (2007) Low cardiorespiratory fitness is a strong predictor for clustering of cardiovascular disease risk factors in children independent of country, age and sex. Eur J Cardiovasc Prev Rehabil 14(4):526–531PubMedCrossRef Anderssen SA, Cooper AR, Riddoch C, Sardinha LB, Harro M, Brage S, Andersen LB (2007) Low cardiorespiratory fitness is a strong predictor for clustering of cardiovascular disease risk factors in children independent of country, age and sex. Eur J Cardiovasc Prev Rehabil 14(4):526–531PubMedCrossRef
go back to reference Bassett DR, Howley ET, Thompson DL, King GA, Strath SJ, McLaughlin JE, Parr BB (2001) Validity of inspiratory and expiratory methods of measuring gas exchange with a computerized system. J Appl Physiol 91(1):218–224PubMed Bassett DR, Howley ET, Thompson DL, King GA, Strath SJ, McLaughlin JE, Parr BB (2001) Validity of inspiratory and expiratory methods of measuring gas exchange with a computerized system. J Appl Physiol 91(1):218–224PubMed
go back to reference Berlin JA, Colditz GA (1990) A meta-analysis of physical activity in the prevention of coronary heart disease. Am J Epidemiol 132(4):612–628PubMed Berlin JA, Colditz GA (1990) A meta-analysis of physical activity in the prevention of coronary heart disease. Am J Epidemiol 132(4):612–628PubMed
go back to reference Do Lee C, Blair SN, Jackson AS (1999) Cardiorespiratory fitness, body composition, and all-cause and cardiovascular disease mortality in men. Am J Clin Nutr 69(3):373–380 Do Lee C, Blair SN, Jackson AS (1999) Cardiorespiratory fitness, body composition, and all-cause and cardiovascular disease mortality in men. Am J Clin Nutr 69(3):373–380
go back to reference Dunstan DW, Salmon J, Healy GN, Shaw JE, Jolley D, Zimmet PZ, Owen N (2007) Association of television viewing with fasting and 2-h post challenge plasma glucose levels in adults without diagnosed diabetes. Diabetes Care 30:516–522. doi:10.2337/dc06-1996 PubMedCrossRef Dunstan DW, Salmon J, Healy GN, Shaw JE, Jolley D, Zimmet PZ, Owen N (2007) Association of television viewing with fasting and 2-h post challenge plasma glucose levels in adults without diagnosed diabetes. Diabetes Care 30:516–522. doi:10.​2337/​dc06-1996 PubMedCrossRef
go back to reference Duvivier BMFM, Schaper NC, Bremers MA, van Crombrugge G, Menheere PPCA, Kars M, Savelberg HHCM (2013) Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable. PLoS One 8(2):e55542. doi:10.1371/journal.pone.0055542 PubMedCentralPubMedCrossRef Duvivier BMFM, Schaper NC, Bremers MA, van Crombrugge G, Menheere PPCA, Kars M, Savelberg HHCM (2013) Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable. PLoS One 8(2):e55542. doi:10.​1371/​journal.​pone.​0055542 PubMedCentralPubMedCrossRef
go back to reference Ekelund U, Brage S, Griffin SJ, Wareham NJ (2009) Objectively measured moderate- and vigorous-intensity physical activity but not sedentary time predicts insulin resistance in high-risk individuals. Diabetes Care 32:1081–1086. doi:10.2337/dc08-1895 PubMedCentralPubMedCrossRef Ekelund U, Brage S, Griffin SJ, Wareham NJ (2009) Objectively measured moderate- and vigorous-intensity physical activity but not sedentary time predicts insulin resistance in high-risk individuals. Diabetes Care 32:1081–1086. doi:10.​2337/​dc08-1895 PubMedCentralPubMedCrossRef
go back to reference Evenson KR, Buchner DM, Morland KB (2012) Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older. Prev Chronic Dis 9:E26PubMedCentralPubMed Evenson KR, Buchner DM, Morland KB (2012) Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older. Prev Chronic Dis 9:E26PubMedCentralPubMed
go back to reference Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001) Executive summary of the 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). JAMA 285:2486–2497CrossRef Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001) Executive summary of the 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). JAMA 285:2486–2497CrossRef
go back to reference Fung TT, Hu FB, Yu J, Chu NF, Spiegelman D, Tofler GH, Willett WC, Rimm EB (2000) Leisure-time physical activity, television watching, and plasma biomarkers of obesity and cardiovascular disease risk. Am J Epidemiol 152(12):1171–1178PubMedCrossRef Fung TT, Hu FB, Yu J, Chu NF, Spiegelman D, Tofler GH, Willett WC, Rimm EB (2000) Leisure-time physical activity, television watching, and plasma biomarkers of obesity and cardiovascular disease risk. Am J Epidemiol 152(12):1171–1178PubMedCrossRef
go back to reference Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, Owen N (2007) Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. Diabetes Care 30:1384–1389. doi:10.2337/dc07-0114 PubMedCrossRef Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, Owen N (2007) Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. Diabetes Care 30:1384–1389. doi:10.​2337/​dc07-0114 PubMedCrossRef
go back to reference Helgerud J, Hoydal K, Wang E, Karlsen T, Berg P, Bjerkaas M, Simonsen T, Helgesen C, Hjorth N, Bach R, Hoff J (2007) Aerobic high-intensity intervals improve VO2max more than moderate training. Med Sci Sports Exerc 39(4):665–671. doi:10.1249/mss.0b013e3180304570 PubMedCrossRef Helgerud J, Hoydal K, Wang E, Karlsen T, Berg P, Bjerkaas M, Simonsen T, Helgesen C, Hjorth N, Bach R, Hoff J (2007) Aerobic high-intensity intervals improve VO2max more than moderate training. Med Sci Sports Exerc 39(4):665–671. doi:10.​1249/​mss.​0b013e3180304570​ PubMedCrossRef
go back to reference Helmerhorst HJF, Wijndaele K, Soren Brage, Wareham ND, Ekelund U (2009) Objectively measured sedentary time may predict insulin resistance independent of moderate-and vigorous-intensity physical activity. Diabetes 58:1776–1779. doi:10.2337/db08-1773 PubMedCentralPubMedCrossRef Helmerhorst HJF, Wijndaele K, Soren Brage, Wareham ND, Ekelund U (2009) Objectively measured sedentary time may predict insulin resistance independent of moderate-and vigorous-intensity physical activity. Diabetes 58:1776–1779. doi:10.​2337/​db08-1773 PubMedCentralPubMedCrossRef
go back to reference Henson J, Yates T, Biddle SJH, Edwardson CL, Khuti K, Wilmot EG, Gray LJ, Gorely T, Nimmo MA, Davies MJ (2013) Associations of objectively measured sedentary behavior and physical activity with markers of cardiometabolic health. Diabetologia. doi:10.1007/s00125-013-2845-9 PubMed Henson J, Yates T, Biddle SJH, Edwardson CL, Khuti K, Wilmot EG, Gray LJ, Gorely T, Nimmo MA, Davies MJ (2013) Associations of objectively measured sedentary behavior and physical activity with markers of cardiometabolic health. Diabetologia. doi:10.​1007/​s00125-013-2845-9 PubMed
go back to reference Hu FB, Li TY, Colditz GA, Willett WC, Manson JE (2003) Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA 289(14):1785–1791PubMedCrossRef Hu FB, Li TY, Colditz GA, Willett WC, Manson JE (2003) Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA 289(14):1785–1791PubMedCrossRef
go back to reference Kahn HS (2006) The lipid accumulation product is better than BMI for identifying diabetes: a population-based comparison. Diabetes Care 29(1):151–153PubMedCrossRef Kahn HS (2006) The lipid accumulation product is better than BMI for identifying diabetes: a population-based comparison. Diabetes Care 29(1):151–153PubMedCrossRef
go back to reference Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S (2013) Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults. Int J Behav Nutr Phys Act 10(30):1–7 Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S (2013) Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults. Int J Behav Nutr Phys Act 10(30):1–7
go back to reference Laursen PB, Jenkins DG (2002) The scientific basis for high-intensity interval training: optimising training programmes and maximising performance in highly trained endurance athletes. Sports Med 32(1):53–73PubMedCrossRef Laursen PB, Jenkins DG (2002) The scientific basis for high-intensity interval training: optimising training programmes and maximising performance in highly trained endurance athletes. Sports Med 32(1):53–73PubMedCrossRef
go back to reference Macera CA, Ham SA, Ainsworth BE (2005) Prevalence of physical activity in the United States: behavioral risk factor surveillance system, 2001. Prev Chronic Dis 2(2):A17PubMedCentralPubMed Macera CA, Ham SA, Ainsworth BE (2005) Prevalence of physical activity in the United States: behavioral risk factor surveillance system, 2001. Prev Chronic Dis 2(2):A17PubMedCentralPubMed
go back to reference Malita FM, Karelis AD, St-Pierre DH, Garrel D, Bastard JP, Tardif A, Prud’homme D, Rabasa-Lhoret R (2006) Surrogate indexes vs. euglycaemic-hyperinsulinemic clamp as an indicator of insulin resistance and cardiovascular risk factors in overweight and obese postmenopausal women. Diabetes Metab 32:251–255PubMedCrossRef Malita FM, Karelis AD, St-Pierre DH, Garrel D, Bastard JP, Tardif A, Prud’homme D, Rabasa-Lhoret R (2006) Surrogate indexes vs. euglycaemic-hyperinsulinemic clamp as an indicator of insulin resistance and cardiovascular risk factors in overweight and obese postmenopausal women. Diabetes Metab 32:251–255PubMedCrossRef
go back to reference Midgley AW, McNaughton LR, Jones AM (2007) Training to enhance the physiological determinants of long-distance running performance: can valid recommendations be given to runners and coaches based on current scientific knowledge? Sports Med 37(10):857–880PubMedCrossRef Midgley AW, McNaughton LR, Jones AM (2007) Training to enhance the physiological determinants of long-distance running performance: can valid recommendations be given to runners and coaches based on current scientific knowledge? Sports Med 37(10):857–880PubMedCrossRef
go back to reference National Heart Lung and Blood Institute, Obesity education initiative expert panel on the identification, evaluation, and treatment of obesity in adults (1998) Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. National Heart Lung and Blood Institute, Bethesda, MD. Report 98-4083 National Heart Lung and Blood Institute, Obesity education initiative expert panel on the identification, evaluation, and treatment of obesity in adults (1998) Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. National Heart Lung and Blood Institute, Bethesda, MD. Report 98-4083
go back to reference Oguma Y, Shinoda-Tagawa T (2004) Physical activity decreases cardiovascular disease risk in women: review and meta-analysis. Am J Prev Med 26(5):407–418PubMedCrossRef Oguma Y, Shinoda-Tagawa T (2004) Physical activity decreases cardiovascular disease risk in women: review and meta-analysis. Am J Prev Med 26(5):407–418PubMedCrossRef
go back to reference Panagiotakos DB, Pitsavos C, Chrysohoou C, Kavouras S, Stefanadis C (2005) The associations between leisure-time physical activity and inflammatory and coagulation markers related to cardiovascular disease: the ATTICA study. Prev Med 40:432–437. doi:10.1016/j.ypmed.2004.07.010 PubMedCrossRef Panagiotakos DB, Pitsavos C, Chrysohoou C, Kavouras S, Stefanadis C (2005) The associations between leisure-time physical activity and inflammatory and coagulation markers related to cardiovascular disease: the ATTICA study. Prev Med 40:432–437. doi:10.​1016/​j.​ypmed.​2004.​07.​010 PubMedCrossRef
go back to reference Roy JLP, Hunter GR, Fernandez JR, McCarthy JP, Larson-Meyer DE, Blaudeau TE, Newcomer BR (2006) Cardiovascular factors explain genetic background differences in VO2max. Am J Hum Biol 18(4):454–460. doi:10.1002/ajhb.20509 PubMedCrossRef Roy JLP, Hunter GR, Fernandez JR, McCarthy JP, Larson-Meyer DE, Blaudeau TE, Newcomer BR (2006) Cardiovascular factors explain genetic background differences in VO2max. Am J Hum Biol 18(4):454–460. doi:10.​1002/​ajhb.​20509 PubMedCrossRef
go back to reference Shaibi GQ, Cruz ML, Ball GD, Weigensberg MJ, Kobaissi HA, Salem GJ et al (2005) Cardiovascular fitness and the metabolic syndrome in overweight Latino youths. Med Sci Sports Exerc 37(6):922–928PubMed Shaibi GQ, Cruz ML, Ball GD, Weigensberg MJ, Kobaissi HA, Salem GJ et al (2005) Cardiovascular fitness and the metabolic syndrome in overweight Latino youths. Med Sci Sports Exerc 37(6):922–928PubMed
go back to reference Sirard JR, Forsyth A, Oakes JM, Schmitz KH (2011) Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study. J Phys Act Health 8(5):668–674PubMed Sirard JR, Forsyth A, Oakes JM, Schmitz KH (2011) Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study. J Phys Act Health 8(5):668–674PubMed
go back to reference Sofi F, Capalbo A, Cesari F, Abbate R, Gensini GF (2008) Physical activity during leisure time and primary prevention of coronary heart disease: an updated meta-analysis of cohort studies. Eur J Cardiovasc Prev Rehabil 15:247–257PubMedCrossRef Sofi F, Capalbo A, Cesari F, Abbate R, Gensini GF (2008) Physical activity during leisure time and primary prevention of coronary heart disease: an updated meta-analysis of cohort studies. Eur J Cardiovasc Prev Rehabil 15:247–257PubMedCrossRef
go back to reference Sperlich B, Zinner C, Heilemann I, Kjendlie PL, Holmberg HC, Mester J (2010) High-intensity interval training improve VO2max, maximal lactate accumulation, time trial and competition performance in 9–11-year-old swimmers. Eur J Appl Physiol 110:1026–1029. doi:10.1007/s00421-010-1586-4 Sperlich B, Zinner C, Heilemann I, Kjendlie PL, Holmberg HC, Mester J (2010) High-intensity interval training improve VO2max, maximal lactate accumulation, time trial and competition performance in 9–11-year-old swimmers. Eur J Appl Physiol 110:1026–1029. doi:10.​1007/​s00421-010-1586-4
go back to reference Tremblay M (2012) Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviors”. Appl Physiol Nutr Metab 37(3):540–542. doi:10.1139/h2012-024 CrossRef Tremblay M (2012) Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviors”. Appl Physiol Nutr Metab 37(3):540–542. doi:10.​1139/​h2012-024 CrossRef
go back to reference Tudor-Locke C, Camhi SM, Troiano RP (2012) A catalog of rules, variable, and definitions applied to accelerometer data in the National Health and Nutrition Examination Survey, 2003–2006. Prev Chronic Dis 9:110332. doi:10.5888/pcd9.110332 Tudor-Locke C, Camhi SM, Troiano RP (2012) A catalog of rules, variable, and definitions applied to accelerometer data in the National Health and Nutrition Examination Survey, 2003–2006. Prev Chronic Dis 9:110332. doi:10.​5888/​pcd9.​110332
go back to reference Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, Luben R, Wareham NJ, Ekelund U (2010) Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study. Int J Epidemiol 40(1):150–159. doi:10.1093/ije/dyq105 PubMedCrossRef Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, Luben R, Wareham NJ, Ekelund U (2010) Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study. Int J Epidemiol 40(1):150–159. doi:10.​1093/​ije/​dyq105 PubMedCrossRef
Metadata
Title
Associations of objectively measured sedentary behavior, light activity, and markers of cardiometabolic health in young women
Authors
Amber N. Green
Ryan McGrath
Vanessa Martinez
Katrina Taylor
David R. Paul
Chantal A. Vella
Publication date
01-05-2014
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Applied Physiology / Issue 5/2014
Print ISSN: 1439-6319
Electronic ISSN: 1439-6327
DOI
https://doi.org/10.1007/s00421-014-2822-0

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