Within- and between-individual variability in estimated energy expenditure and habitual physical activity among young adults
Objective: To examine the within- and between-individual variability in the estimated total energy expenditure (TEE) and habitual physical activity (PA) in free-living young adults. We were specifically interested in the day-to-day variation. Design: Cross-sectional. Setting: University. Subjects: A...
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| Veröffentlicht in: | European journal of clinical nutrition 2006-04, Vol.60 (4), p.538-544 |
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| description | Objective: To examine the within- and between-individual variability in the estimated total energy expenditure (TEE) and habitual physical activity (PA) in free-living young adults. We were specifically interested in the day-to-day variation. Design: Cross-sectional. Setting: University. Subjects: A total of 277 (125 males, 152 females) participants aged 18-24 years. Interventions: None. Main outcome measures: Subjects recorded their daily PA with the Bouchard 3-day diary. Descriptive statistics for TEE, moderate-to-vigorous physical activity (MVPA), inactivity (IA), and activity energy expenditure (AEE) were calculated and presented as a frequency distribution. Within- and between-individual variability were tested by RMANOVA and also presented as the coefficient of variation (CV). Results: Mean values for TEE, MVPA, AEE, and IA were comparable between males and females; however, considerable between-individual variability existed. Only MVPA showed a significant difference between sexes (P |
| doi_str_mv | 10.1038/sj.ejcn.1602348 |
| format | Article |
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We were specifically interested in the day-to-day variation. Design: Cross-sectional. Setting: University. Subjects: A total of 277 (125 males, 152 females) participants aged 18-24 years. Interventions: None. Main outcome measures: Subjects recorded their daily PA with the Bouchard 3-day diary. Descriptive statistics for TEE, moderate-to-vigorous physical activity (MVPA), inactivity (IA), and activity energy expenditure (AEE) were calculated and presented as a frequency distribution. Within- and between-individual variability were tested by RMANOVA and also presented as the coefficient of variation (CV). Results: Mean values for TEE, MVPA, AEE, and IA were comparable between males and females; however, considerable between-individual variability existed. Only MVPA showed a significant difference between sexes (P<0.05), due to slightly greater vigorous PA in males compared to females (8.0 and 6.8 kcal/kg/day, respectively; P=0.12). Results from the RMANOVA revealed no significant day-to-day variability in any TEE or PA variable and the CVs were not significantly different between males and females. TEE and IA displayed mean CVs of approximately 12% while mean CVs for AEE and MVPA approximated 32 and 84%, respectively. Conclusions: Results from this study suggest (1) a limited day-to-day variability in TEE and (2) a large degree of between-individual variation for TEE and PA exist. This study highlights the importance of understanding the variability associated with TEE, which is important for PA measurement and proper PA and nutritional recommendations. Sponsorship: None.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/sj.ejcn.1602348</identifier><identifier>PMID: 16340951</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>activity energy expenditure ; Adolescent ; Adult ; Adults ; Analysis of Variance ; Basal Metabolism - physiology ; Biological and medical sciences ; Clinical Nutrition ; Coefficient of variation ; Comparative analysis ; Cross-Sectional Studies ; day-to-day variability ; Energy ; Energy expenditure ; Energy Metabolism - physiology ; Epidemiology ; Exercise ; Exercise - physiology ; Female ; Females ; Frequency distribution ; Gender ; gender differences ; human nutrition ; Humans ; inactivity ; Internal Medicine ; Male ; Males ; Mathematical analysis ; Medical sciences ; Medicine ; Medicine & Public Health ; men ; Metabolic Diseases ; moderate-to-vigorous physical activity ; nutrition assessment ; Nutritional Requirements ; Obesity - metabolism ; original-article ; Physical activity ; Public Health ; Sedentary behavior ; Teenagers ; total energy expenditure ; Variability ; variance ; Variation ; women ; Young adults</subject><ispartof>European journal of clinical nutrition, 2006-04, Vol.60 (4), p.538-544</ispartof><rights>Springer Nature Limited 2006</rights><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2006 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 2006</rights><rights>Nature Publishing Group 2006.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c594t-8796b1ea6217ab89f66acfc40195594b55055b8d916c53dbee4d4befcbf2a0f43</citedby><cites>FETCH-LOGICAL-c594t-8796b1ea6217ab89f66acfc40195594b55055b8d916c53dbee4d4befcbf2a0f43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.ejcn.1602348$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.ejcn.1602348$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17654548$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16340951$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wickel, E.E</creatorcontrib><creatorcontrib>Eisenmann, J.C</creatorcontrib><title>Within- and between-individual variability in estimated energy expenditure and habitual physical activity among young adults</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Objective: To examine the within- and between-individual variability in the estimated total energy expenditure (TEE) and habitual physical activity (PA) in free-living young adults. We were specifically interested in the day-to-day variation. Design: Cross-sectional. Setting: University. Subjects: A total of 277 (125 males, 152 females) participants aged 18-24 years. Interventions: None. Main outcome measures: Subjects recorded their daily PA with the Bouchard 3-day diary. Descriptive statistics for TEE, moderate-to-vigorous physical activity (MVPA), inactivity (IA), and activity energy expenditure (AEE) were calculated and presented as a frequency distribution. Within- and between-individual variability were tested by RMANOVA and also presented as the coefficient of variation (CV). Results: Mean values for TEE, MVPA, AEE, and IA were comparable between males and females; however, considerable between-individual variability existed. Only MVPA showed a significant difference between sexes (P<0.05), due to slightly greater vigorous PA in males compared to females (8.0 and 6.8 kcal/kg/day, respectively; P=0.12). Results from the RMANOVA revealed no significant day-to-day variability in any TEE or PA variable and the CVs were not significantly different between males and females. TEE and IA displayed mean CVs of approximately 12% while mean CVs for AEE and MVPA approximated 32 and 84%, respectively. Conclusions: Results from this study suggest (1) a limited day-to-day variability in TEE and (2) a large degree of between-individual variation for TEE and PA exist. This study highlights the importance of understanding the variability associated with TEE, which is important for PA measurement and proper PA and nutritional recommendations. Sponsorship: None.</description><subject>activity energy expenditure</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Analysis of Variance</subject><subject>Basal Metabolism - physiology</subject><subject>Biological and medical sciences</subject><subject>Clinical Nutrition</subject><subject>Coefficient of variation</subject><subject>Comparative analysis</subject><subject>Cross-Sectional Studies</subject><subject>day-to-day variability</subject><subject>Energy</subject><subject>Energy expenditure</subject><subject>Energy Metabolism - physiology</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Exercise - physiology</subject><subject>Female</subject><subject>Females</subject><subject>Frequency distribution</subject><subject>Gender</subject><subject>gender differences</subject><subject>human nutrition</subject><subject>Humans</subject><subject>inactivity</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Males</subject><subject>Mathematical analysis</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>men</subject><subject>Metabolic Diseases</subject><subject>moderate-to-vigorous physical activity</subject><subject>nutrition assessment</subject><subject>Nutritional Requirements</subject><subject>Obesity - metabolism</subject><subject>original-article</subject><subject>Physical activity</subject><subject>Public Health</subject><subject>Sedentary behavior</subject><subject>Teenagers</subject><subject>total energy expenditure</subject><subject>Variability</subject><subject>variance</subject><subject>Variation</subject><subject>women</subject><subject>Young adults</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1ks1v1DAQxSMEotvCmRtEIHrL1k5sJzlWFV9SJQ5QcbQcZ5z1KmsvtlNYiT--k-5KC6iVpdjK_N5LZvyy7BUlS0qq5iKul7DWbkkFKSvWPMkWlNWi4IKRp9mCtJwVFSH1SXYa45oQLNbl8-yEiophkS6yPz9sWllX5Mr1eQfpF4ArrOvtre0nNea3KljV2dGmXW5dDjHZjUrQ5-AgDLscfm8B6TQFuLdYIZxm4Xa1i1bjQemEZihXG--GfOcnfKp-GlN8kT0zaozw8rCfZTcfP3y_-lxcf_305eryutC8Zalo6lZ0FJQoaa26pjVCKG00I7TlCHScE867pm-p0LzqOwDWsw6M7kypiGHVWXa-990G_3PCHuTGRg3jqBz4KUpRNyXnjCL47j9w7afg8N9kKVgpSsbLmXr7KEVbISrKBULFHhrUCNI641NQepjHpkbvwFh8fUlb1jLCxcwvH-Bx9bCx-kHB-V-CFagxraIfp2S9i_-CF3tQBx9jACO3AS8x7CQlck6RjGs5p0geUoSK14cGp24D_ZE_xAaB9wdARbxjE5TTNh65WnDG743InotYcgOE46Qe__abvcQoL9UQ0PbmW0noHGPRlDj-O4cZ6l0</recordid><startdate>20060401</startdate><enddate>20060401</enddate><creator>Wickel, E.E</creator><creator>Eisenmann, J.C</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</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>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20060401</creationdate><title>Within- and between-individual variability in estimated energy expenditure and habitual physical activity among young adults</title><author>Wickel, E.E ; Eisenmann, J.C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c594t-8796b1ea6217ab89f66acfc40195594b55055b8d916c53dbee4d4befcbf2a0f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>activity energy expenditure</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Analysis of Variance</topic><topic>Basal Metabolism - physiology</topic><topic>Biological and medical sciences</topic><topic>Clinical Nutrition</topic><topic>Coefficient of variation</topic><topic>Comparative analysis</topic><topic>Cross-Sectional Studies</topic><topic>day-to-day variability</topic><topic>Energy</topic><topic>Energy expenditure</topic><topic>Energy Metabolism - physiology</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Exercise - physiology</topic><topic>Female</topic><topic>Females</topic><topic>Frequency distribution</topic><topic>Gender</topic><topic>gender differences</topic><topic>human nutrition</topic><topic>Humans</topic><topic>inactivity</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Males</topic><topic>Mathematical analysis</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>men</topic><topic>Metabolic Diseases</topic><topic>moderate-to-vigorous physical activity</topic><topic>nutrition assessment</topic><topic>Nutritional Requirements</topic><topic>Obesity - metabolism</topic><topic>original-article</topic><topic>Physical activity</topic><topic>Public Health</topic><topic>Sedentary behavior</topic><topic>Teenagers</topic><topic>total energy expenditure</topic><topic>Variability</topic><topic>variance</topic><topic>Variation</topic><topic>women</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wickel, E.E</creatorcontrib><creatorcontrib>Eisenmann, J.C</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wickel, E.E</au><au>Eisenmann, J.C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Within- and between-individual variability in estimated energy expenditure and habitual physical activity among young adults</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2006-04-01</date><risdate>2006</risdate><volume>60</volume><issue>4</issue><spage>538</spage><epage>544</epage><pages>538-544</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Objective: To examine the within- and between-individual variability in the estimated total energy expenditure (TEE) and habitual physical activity (PA) in free-living young adults. We were specifically interested in the day-to-day variation. Design: Cross-sectional. Setting: University. Subjects: A total of 277 (125 males, 152 females) participants aged 18-24 years. Interventions: None. Main outcome measures: Subjects recorded their daily PA with the Bouchard 3-day diary. Descriptive statistics for TEE, moderate-to-vigorous physical activity (MVPA), inactivity (IA), and activity energy expenditure (AEE) were calculated and presented as a frequency distribution. Within- and between-individual variability were tested by RMANOVA and also presented as the coefficient of variation (CV). Results: Mean values for TEE, MVPA, AEE, and IA were comparable between males and females; however, considerable between-individual variability existed. Only MVPA showed a significant difference between sexes (P<0.05), due to slightly greater vigorous PA in males compared to females (8.0 and 6.8 kcal/kg/day, respectively; P=0.12). Results from the RMANOVA revealed no significant day-to-day variability in any TEE or PA variable and the CVs were not significantly different between males and females. TEE and IA displayed mean CVs of approximately 12% while mean CVs for AEE and MVPA approximated 32 and 84%, respectively. Conclusions: Results from this study suggest (1) a limited day-to-day variability in TEE and (2) a large degree of between-individual variation for TEE and PA exist. This study highlights the importance of understanding the variability associated with TEE, which is important for PA measurement and proper PA and nutritional recommendations. Sponsorship: None.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>16340951</pmid><doi>10.1038/sj.ejcn.1602348</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | activity energy expenditure Adolescent Adult Adults Analysis of Variance Basal Metabolism - physiology Biological and medical sciences Clinical Nutrition Coefficient of variation Comparative analysis Cross-Sectional Studies day-to-day variability Energy Energy expenditure Energy Metabolism - physiology Epidemiology Exercise Exercise - physiology Female Females Frequency distribution Gender gender differences human nutrition Humans inactivity Internal Medicine Male Males Mathematical analysis Medical sciences Medicine Medicine & Public Health men Metabolic Diseases moderate-to-vigorous physical activity nutrition assessment Nutritional Requirements Obesity - metabolism original-article Physical activity Public Health Sedentary behavior Teenagers total energy expenditure Variability variance Variation women Young adults |
| title | Within- and between-individual variability in estimated energy expenditure and habitual physical activity among young adults |
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