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dc.contributor.authorKoutedakis, Yiannis
dc.contributor.authorBouziotas, Constantin
dc.contributor.authorFlouris, Andreas D.
dc.contributor.authorNelson, Paul N.
dc.date.accessioned2007-01-18T12:21:51Z
dc.date.available2007-01-18T12:21:51Z
dc.date.issued2005
dc.date.submitted2007-01-11
dc.identifier.citationMedicine and Science in Sports and Exercise, 37(12): 2070-2074
dc.identifier.issn0195-9131
dc.identifier.pmid16331131
dc.identifier.urihttp://hdl.handle.net/2436/7617
dc.description.abstractPURPOSE: Obesity has an etiology that is multidimensional in nature. Given the dearth of longitudinal data, we examined changes in adipose tissue (Ad) in relation to physical activity levels (PA), aerobic fitness (AF), and energy intake (EI) in Greek schoolchildren, as they progressed from age 12 to 14 yr. METHODS: This was a 2-yr and three-time-point (TP) study. Participants (N=210 (TP1); =204 (TP2); =198 (TP3)) were assessed for anthropometry, maturity status, Ad, PA, AF, and EI. Mean values were used for exploratory analyses, whereas two generalized estimating equations (GEE) models examined for longitudinal associations between the studied parameters. The first (GEE1) aimed to extract inherent associations between the dependent (Ad) and independent (PA, AF, EI) variables for the entire study period. For further evidence of association, the second analysis (GEE2) used the independent variables at TP1 and TP2 to predict the dependent variables at TP3. RESULTS: Levels of Ad in boys decreased significantly (P<0.05) from TP1 to TP3, whereas the same variable demonstrated a nonsignificant increase (P>0.05) in girls. GEE1 revealed that longitudinal changes in Ad were significantly associated only with PA (beta=-0.16; P<0.001) and AF (beta=-0.09; P<0.05) for all schoolchildren. Similarly, GEE2 revealed that the main factors (at TP1 and TP2) predicting the development of Ad (at TP3) were PA (beta=-0.14; P<0.001) followed by AF (beta=-0.10; P<0.05). CONCLUSION: With respect to data presented, we established that longitudinal changes in Ad are mainly accompanied by changes in PA and, to a lesser extent, AF levels.
dc.format.extent136541 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.urlhttp://direct.bl.uk/bld/PlaceOrder.do?UIN=181362090&ETOC=RN&from=searchengine
dc.subjectAdipose Tissue
dc.subjectAnthropometry
dc.subjectSex maturation
dc.subjectPhysical Fitness
dc.subjectExercise
dc.subjectCaloric intake
dc.subjectLongitudinal study
dc.subjectObesity
dc.titleLongitudinal modeling of adiposity in periadolescent Greek schoolchildren.
dc.typeJournal article
dc.identifier.journalMedicine and Science in Sports and Exercise
dc.format.digYES
refterms.dateFOA2018-08-21T15:49:50Z
html.description.abstractPURPOSE: Obesity has an etiology that is multidimensional in nature. Given the dearth of longitudinal data, we examined changes in adipose tissue (Ad) in relation to physical activity levels (PA), aerobic fitness (AF), and energy intake (EI) in Greek schoolchildren, as they progressed from age 12 to 14 yr. METHODS: This was a 2-yr and three-time-point (TP) study. Participants (N=210 (TP1); =204 (TP2); =198 (TP3)) were assessed for anthropometry, maturity status, Ad, PA, AF, and EI. Mean values were used for exploratory analyses, whereas two generalized estimating equations (GEE) models examined for longitudinal associations between the studied parameters. The first (GEE1) aimed to extract inherent associations between the dependent (Ad) and independent (PA, AF, EI) variables for the entire study period. For further evidence of association, the second analysis (GEE2) used the independent variables at TP1 and TP2 to predict the dependent variables at TP3. RESULTS: Levels of Ad in boys decreased significantly (P<0.05) from TP1 to TP3, whereas the same variable demonstrated a nonsignificant increase (P>0.05) in girls. GEE1 revealed that longitudinal changes in Ad were significantly associated only with PA (beta=-0.16; P<0.001) and AF (beta=-0.09; P<0.05) for all schoolchildren. Similarly, GEE2 revealed that the main factors (at TP1 and TP2) predicting the development of Ad (at TP3) were PA (beta=-0.14; P<0.001) followed by AF (beta=-0.10; P<0.05). CONCLUSION: With respect to data presented, we established that longitudinal changes in Ad are mainly accompanied by changes in PA and, to a lesser extent, AF levels.


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