Associations of physical activity, cardiorespiratory fitness and fatness with low-grade inflammation in adolescents: the AFINOS Study

Objective: To examine the independent associations of objectively measured physical activity (PA), cardiorespiratory fitness (CRF) and fatness with low-grade inflammatory markers in adolescents. Design: Cross-sectional study in Spain. Subjects: A sample of 192 adolescents aged 13–17 years. Measureme...

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Veröffentlicht in:International Journal of Obesity 2010-10, Vol.34 (10), p.1501-1507
Hauptverfasser: Martinez-Gomez, D, Eisenmann, J.C, Warnberg, J, Gomez-Martinez, S, Veses, A, Veiga, O.L, Marcos, A
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container_end_page 1507
container_issue 10
container_start_page 1501
container_title International Journal of Obesity
container_volume 34
creator Martinez-Gomez, D
Eisenmann, J.C
Warnberg, J
Gomez-Martinez, S
Veses, A
Veiga, O.L
Marcos, A
description Objective: To examine the independent associations of objectively measured physical activity (PA), cardiorespiratory fitness (CRF) and fatness with low-grade inflammatory markers in adolescents. Design: Cross-sectional study in Spain. Subjects: A sample of 192 adolescents aged 13–17 years. Measurements: PA was assessed with an accelerometer for 7 days. A 20-m shuttle-run test was used to assess CRF. Skinfold thicknesses at six sites and WCs were measured. BMI was calculated from measured height and weight. C-reactive protein (CRP), interleukin-6 (IL-6) and complement factors C3 and C4 were assayed. The homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from glucose and insulin. Regression analysis adjusted for potential confounders and HOMA-IR was used to determine the associations between PA, CRF and fatness with low-grade inflammatory markers. Results: Total PA, vigorous PA and MVPA were positively associated with CRF (r=0.25–0.48), whereas vigorous PA was negatively associated with skinfolds (r=−0.27). CRF was inversely associated with fatness, (r=−0.30 to −0.48). CRF and fatness were inversely and positively associated with HOMA-IR (r=−0.16 and 0.21, respectively). PA variables were not independently associated with inflammatory markers. CRF and fatness were inversely and positively associated with CRP, C3 and C4, respectively. Only body fat explained a relevant amount of the variance of the model in CRP (4%) and C4 (19%), whereas CRP and body fat jointly explained the variance in C3 (25%). All these observations were independent of HOMA-IR. Conclusions: These findings support the key role of CRF and fatness on low-grade inflammation, as well as the possible indirect role of habitual PA through CRF and body fat in adolescents.
doi_str_mv 10.1038/ijo.2010.114
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CRF and fatness were inversely and positively associated with HOMA-IR (r=−0.16 and 0.21, respectively). PA variables were not independently associated with inflammatory markers. CRF and fatness were inversely and positively associated with CRP, C3 and C4, respectively. Only body fat explained a relevant amount of the variance of the model in CRP (4%) and C4 (19%), whereas CRP and body fat jointly explained the variance in C3 (25%). All these observations were independent of HOMA-IR. 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CRF and fatness were inversely and positively associated with HOMA-IR (r=−0.16 and 0.21, respectively). PA variables were not independently associated with inflammatory markers. CRF and fatness were inversely and positively associated with CRP, C3 and C4, respectively. Only body fat explained a relevant amount of the variance of the model in CRP (4%) and C4 (19%), whereas CRP and body fat jointly explained the variance in C3 (25%). All these observations were independent of HOMA-IR. 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Public Health</subject><subject>Metabolic Diseases</subject><subject>Metabolism</subject><subject>Motor Activity</subject><subject>Nutrition</subject><subject>nutrition assessment</subject><subject>nutritional status</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Obesity - epidemiology</subject><subject>Obesity - physiopathology</subject><subject>Obesity in adolescence</subject><subject>pediatric-highlight</subject><subject>Pediatrics</subject><subject>physical activity</subject><subject>Physical fitness</subject><subject>Physiological aspects</subject><subject>Public Health</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Skinfold Thickness</subject><subject>Spain - epidemiology</subject><subject>Teenagers</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0kFv0zAUB_AIgVgZ3DiDBQIuS7FjO064VRODSRM7lJ2jF-eldZXGxXaY-gH43jhL2RgCoUiJHf_8HDv_JHnO6JxRXrw3GzvP6Nhj4kEyY0LlqRSlepjMKKcqpTKXR8kT7zeUUilp9jg5yqjkjEsxS34svLfaQDC298S2ZLfee6OhI6CD-W7C_oRocI2xDv3OOAjW7UlrQo_eE-gb0sLUvjZhTTp7na4cNEhM33aw3d4Ujh0Cje3Qa-yD_0DCGsni7PzL5ZIsw9DsnyaPWug8Pjs8j5Ors49fTz-nF5efzk8XF6mWuQipwEY1GqGomdYZBSU1aloUmOWFEryOI43O8rZWsqhRYVk2vC7ivRW1xrrmx8m7qe7O2W8D-lBtTfymroMe7eCrkgqR51yW_5VKKpFTxXiUr_6QGzu4Pm5jRJKVKh_LvZ7QCjqs4tnY4ECPJatFxsuCCS6zqOZ_UfFqcGu07bE18f29CW9_m7BG6MLa2264-Zv34ckEtbPeO2yrnTNbcPuK0WqMURVjVI0xqmKMIn9x2NNQb7G5xb9yE8GbAwAfw9I66LXxd45nZVYwFl06OR-H-hW6u8P5x8Jk8j2EweFtwYhGM5GXE2nBVrBycdmrZRzklJVZmUvGfwLl_fMJ</recordid><startdate>20101001</startdate><enddate>20101001</enddate><creator>Martinez-Gomez, D</creator><creator>Eisenmann, J.C</creator><creator>Warnberg, J</creator><creator>Gomez-Martinez, S</creator><creator>Veses, A</creator><creator>Veiga, O.L</creator><creator>Marcos, A</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20101001</creationdate><title>Associations of physical activity, cardiorespiratory fitness and fatness with low-grade inflammation in adolescents: the AFINOS Study</title><author>Martinez-Gomez, D ; 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Design: Cross-sectional study in Spain. Subjects: A sample of 192 adolescents aged 13–17 years. Measurements: PA was assessed with an accelerometer for 7 days. A 20-m shuttle-run test was used to assess CRF. Skinfold thicknesses at six sites and WCs were measured. BMI was calculated from measured height and weight. C-reactive protein (CRP), interleukin-6 (IL-6) and complement factors C3 and C4 were assayed. The homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from glucose and insulin. Regression analysis adjusted for potential confounders and HOMA-IR was used to determine the associations between PA, CRF and fatness with low-grade inflammatory markers. Results: Total PA, vigorous PA and MVPA were positively associated with CRF (r=0.25–0.48), whereas vigorous PA was negatively associated with skinfolds (r=−0.27). CRF was inversely associated with fatness, (r=−0.30 to −0.48). CRF and fatness were inversely and positively associated with HOMA-IR (r=−0.16 and 0.21, respectively). PA variables were not independently associated with inflammatory markers. CRF and fatness were inversely and positively associated with CRP, C3 and C4, respectively. Only body fat explained a relevant amount of the variance of the model in CRP (4%) and C4 (19%), whereas CRP and body fat jointly explained the variance in C3 (25%). All these observations were independent of HOMA-IR. Conclusions: These findings support the key role of CRF and fatness on low-grade inflammation, as well as the possible indirect role of habitual PA through CRF and body fat in adolescents.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>20531354</pmid><doi>10.1038/ijo.2010.114</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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1476-5497
language eng
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subjects 631/250/256
692/700/1720
Adolescent
adolescent nutrition
Adolescents
Adults
AFINOS Study
Biological and medical sciences
biomarkers
Body Composition
Body fat
Body Mass Index
Body Weight
C-reactive protein
C-Reactive Protein - metabolism
cardiorespiratory fitness
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - prevention & control
Care and treatment
Complications and side effects
Cross-Sectional Studies
Cytokines
Diagnosis
Epidemiology
Exercise
Female
Health aspects
Health care
Health Promotion and Disease Prevention
Humans
Inflammation
Inflammation - physiopathology
Insulin resistance
Insulin Resistance - physiology
Internal Medicine
low-grade inflammation
Male
Medical sciences
Medicine
Medicine & Public Health
Metabolic Diseases
Metabolism
Motor Activity
Nutrition
nutrition assessment
nutritional status
Obesity
Obesity - complications
Obesity - epidemiology
Obesity - physiopathology
Obesity in adolescence
pediatric-highlight
Pediatrics
physical activity
Physical fitness
Physiological aspects
Public Health
Regression analysis
Risk factors
Skinfold Thickness
Spain - epidemiology
Teenagers
title Associations of physical activity, cardiorespiratory fitness and fatness with low-grade inflammation in adolescents: the AFINOS Study
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