Effects of adiposity and body composition on adjusted resting energy expenditure in women
Objectives Fat‐free mass (FFM) accounts for ~80% of the variance in resting energy expenditure (REE), and this relationship is complicated by adiposity. The objective was to compare adjusted REE and contributions of skeletal lean mass and fat mass (FM) to adjusted REE in women with varying adiposity...
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| Veröffentlicht in: | American journal of human biology 2022-02, Vol.34 (2), p.e23610-n/a |
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| container_title | American journal of human biology |
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| creator | Gould, Lacey M. Hirsch, Katie R. Blue, Malia N. M. Cabre, Hannah E. Brewer, Gabrielle J. Smith‐Ryan, Abbie E. |
| description | Objectives
Fat‐free mass (FFM) accounts for ~80% of the variance in resting energy expenditure (REE), and this relationship is complicated by adiposity. The objective was to compare adjusted REE and contributions of skeletal lean mass and fat mass (FM) to adjusted REE in women with varying adiposity levels using a novel approach.
Methods
Women were divided into tertiles by body fat percent (%fat): Tertile 1 (T1): %fat = 18.5%–28.4%; Tertile 2 (T2): %fat = 28.5%–33.8%; Tertile 3 (T3): %fat = 34.0%–61.0%. Outcome measures were measured and adjusted REE, body composition (skeletal lean mass, FM, %fat) from dual‐energy X‐ray absorptiometry, and percent contribution of skeletal lean mass and FM to adjusted REE.
Results
The main effect for tertiles (T1 vs. T2 vs. T3) was significant (p = .001); REE was significantly higher in T3 versus both T1 by 281 kcal/day (p = .001) and T2 by 215 kcal/day (p = .001). Expenditure from skeletal lean mass in T1 was significantly higher than T3 by 3.2% (p = .001). T3 had a significantly higher FM contribution than T1 by 5.1% (p = .001) and T2 by 3.9% (p = .001).
Conclusions
Women with elevated %fat experienced lower skeletal lean mass contribution and higher FM contribution to adjusted REE. FM may explain more of the variance in REE between women of different levels of adiposity. |
| doi_str_mv | 10.1002/ajhb.23610 |
| format | Article |
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Fat‐free mass (FFM) accounts for ~80% of the variance in resting energy expenditure (REE), and this relationship is complicated by adiposity. The objective was to compare adjusted REE and contributions of skeletal lean mass and fat mass (FM) to adjusted REE in women with varying adiposity levels using a novel approach.
Methods
Women were divided into tertiles by body fat percent (%fat): Tertile 1 (T1): %fat = 18.5%–28.4%; Tertile 2 (T2): %fat = 28.5%–33.8%; Tertile 3 (T3): %fat = 34.0%–61.0%. Outcome measures were measured and adjusted REE, body composition (skeletal lean mass, FM, %fat) from dual‐energy X‐ray absorptiometry, and percent contribution of skeletal lean mass and FM to adjusted REE.
Results
The main effect for tertiles (T1 vs. T2 vs. T3) was significant (p = .001); REE was significantly higher in T3 versus both T1 by 281 kcal/day (p = .001) and T2 by 215 kcal/day (p = .001). Expenditure from skeletal lean mass in T1 was significantly higher than T3 by 3.2% (p = .001). T3 had a significantly higher FM contribution than T1 by 5.1% (p = .001) and T2 by 3.9% (p = .001).
Conclusions
Women with elevated %fat experienced lower skeletal lean mass contribution and higher FM contribution to adjusted REE. FM may explain more of the variance in REE between women of different levels of adiposity.</description><identifier>ISSN: 1042-0533</identifier><identifier>EISSN: 1520-6300</identifier><identifier>DOI: 10.1002/ajhb.23610</identifier><identifier>PMID: 33961322</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Absorptiometry, Photon ; Adipose tissue ; Adiposity ; Basal Metabolism ; Body Composition ; Body fat ; Calorimetry, Indirect ; Energy expenditure ; Energy Metabolism ; Female ; Humans ; Obesity</subject><ispartof>American journal of human biology, 2022-02, Vol.34 (2), p.e23610-n/a</ispartof><rights>2021 Wiley Periodicals LLC.</rights><rights>2022 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3160-72bfc57ebe0c83b4252f734a55ff8c38047914a320071bc14268e8a4f24461e43</cites><orcidid>0000-0002-4259-3225 ; 0000-0002-5405-304X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fajhb.23610$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fajhb.23610$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33961322$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gould, Lacey M.</creatorcontrib><creatorcontrib>Hirsch, Katie R.</creatorcontrib><creatorcontrib>Blue, Malia N. M.</creatorcontrib><creatorcontrib>Cabre, Hannah E.</creatorcontrib><creatorcontrib>Brewer, Gabrielle J.</creatorcontrib><creatorcontrib>Smith‐Ryan, Abbie E.</creatorcontrib><title>Effects of adiposity and body composition on adjusted resting energy expenditure in women</title><title>American journal of human biology</title><addtitle>Am J Hum Biol</addtitle><description>Objectives
Fat‐free mass (FFM) accounts for ~80% of the variance in resting energy expenditure (REE), and this relationship is complicated by adiposity. The objective was to compare adjusted REE and contributions of skeletal lean mass and fat mass (FM) to adjusted REE in women with varying adiposity levels using a novel approach.
Methods
Women were divided into tertiles by body fat percent (%fat): Tertile 1 (T1): %fat = 18.5%–28.4%; Tertile 2 (T2): %fat = 28.5%–33.8%; Tertile 3 (T3): %fat = 34.0%–61.0%. Outcome measures were measured and adjusted REE, body composition (skeletal lean mass, FM, %fat) from dual‐energy X‐ray absorptiometry, and percent contribution of skeletal lean mass and FM to adjusted REE.
Results
The main effect for tertiles (T1 vs. T2 vs. T3) was significant (p = .001); REE was significantly higher in T3 versus both T1 by 281 kcal/day (p = .001) and T2 by 215 kcal/day (p = .001). Expenditure from skeletal lean mass in T1 was significantly higher than T3 by 3.2% (p = .001). T3 had a significantly higher FM contribution than T1 by 5.1% (p = .001) and T2 by 3.9% (p = .001).
Conclusions
Women with elevated %fat experienced lower skeletal lean mass contribution and higher FM contribution to adjusted REE. FM may explain more of the variance in REE between women of different levels of adiposity.</description><subject>Absorptiometry, Photon</subject><subject>Adipose tissue</subject><subject>Adiposity</subject><subject>Basal Metabolism</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Calorimetry, Indirect</subject><subject>Energy expenditure</subject><subject>Energy Metabolism</subject><subject>Female</subject><subject>Humans</subject><subject>Obesity</subject><issn>1042-0533</issn><issn>1520-6300</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1r3DAQhkVJ6G6SXvoDgiCXEvB29GHZe9yGfBLIpTn0JGR5lGpZS1vJJvW_rzeb5NBDYGCG4eHh5SXkK4MFA-Dfzfp3s-BCMfhE5qzkUCgBcDDdIHkBpRAzcpTzGgCWCurPZCbEUjHB-Zz8unQObZ9pdNS0fhuz70dqQkub2I7Uxu7l5WOg05h2PeQeW5ow9z48UQyYnkaKf7cYWt8PCakP9Dl2GE7IoTObjF9e9zF5vLr8eXFT3D9c316s7gsrmIKi4o2zZYUNgq1FI3nJXSWkKUvnaitqkNWSSSM4QMUayyRXNdZGOi6lYijFMfm2925T_DNMuXTns8XNxgSMQ9aTUAoFUu3Qs__QdRxSmNJprngppagVn6jzPWVTzDmh09vkO5NGzUDvCte7wvVL4RN8-qocmg7bd_St4Qlge-DZb3D8QKVXdzc_9tJ_Lj6Jpg</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Gould, Lacey M.</creator><creator>Hirsch, Katie R.</creator><creator>Blue, Malia N. M.</creator><creator>Cabre, Hannah E.</creator><creator>Brewer, Gabrielle J.</creator><creator>Smith‐Ryan, Abbie E.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><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>7QP</scope><scope>7SN</scope><scope>7ST</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TS</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4259-3225</orcidid><orcidid>https://orcid.org/0000-0002-5405-304X</orcidid></search><sort><creationdate>202202</creationdate><title>Effects of adiposity and body composition on adjusted resting energy expenditure in women</title><author>Gould, Lacey M. ; Hirsch, Katie R. ; Blue, Malia N. M. ; Cabre, Hannah E. ; Brewer, Gabrielle J. ; Smith‐Ryan, Abbie E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3160-72bfc57ebe0c83b4252f734a55ff8c38047914a320071bc14268e8a4f24461e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Absorptiometry, Photon</topic><topic>Adipose tissue</topic><topic>Adiposity</topic><topic>Basal Metabolism</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Calorimetry, Indirect</topic><topic>Energy expenditure</topic><topic>Energy Metabolism</topic><topic>Female</topic><topic>Humans</topic><topic>Obesity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gould, Lacey M.</creatorcontrib><creatorcontrib>Hirsch, Katie R.</creatorcontrib><creatorcontrib>Blue, Malia N. M.</creatorcontrib><creatorcontrib>Cabre, Hannah E.</creatorcontrib><creatorcontrib>Brewer, Gabrielle J.</creatorcontrib><creatorcontrib>Smith‐Ryan, Abbie E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Physical Education Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of human biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gould, Lacey M.</au><au>Hirsch, Katie R.</au><au>Blue, Malia N. M.</au><au>Cabre, Hannah E.</au><au>Brewer, Gabrielle J.</au><au>Smith‐Ryan, Abbie E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of adiposity and body composition on adjusted resting energy expenditure in women</atitle><jtitle>American journal of human biology</jtitle><addtitle>Am J Hum Biol</addtitle><date>2022-02</date><risdate>2022</risdate><volume>34</volume><issue>2</issue><spage>e23610</spage><epage>n/a</epage><pages>e23610-n/a</pages><issn>1042-0533</issn><eissn>1520-6300</eissn><abstract>Objectives
Fat‐free mass (FFM) accounts for ~80% of the variance in resting energy expenditure (REE), and this relationship is complicated by adiposity. The objective was to compare adjusted REE and contributions of skeletal lean mass and fat mass (FM) to adjusted REE in women with varying adiposity levels using a novel approach.
Methods
Women were divided into tertiles by body fat percent (%fat): Tertile 1 (T1): %fat = 18.5%–28.4%; Tertile 2 (T2): %fat = 28.5%–33.8%; Tertile 3 (T3): %fat = 34.0%–61.0%. Outcome measures were measured and adjusted REE, body composition (skeletal lean mass, FM, %fat) from dual‐energy X‐ray absorptiometry, and percent contribution of skeletal lean mass and FM to adjusted REE.
Results
The main effect for tertiles (T1 vs. T2 vs. T3) was significant (p = .001); REE was significantly higher in T3 versus both T1 by 281 kcal/day (p = .001) and T2 by 215 kcal/day (p = .001). Expenditure from skeletal lean mass in T1 was significantly higher than T3 by 3.2% (p = .001). T3 had a significantly higher FM contribution than T1 by 5.1% (p = .001) and T2 by 3.9% (p = .001).
Conclusions
Women with elevated %fat experienced lower skeletal lean mass contribution and higher FM contribution to adjusted REE. FM may explain more of the variance in REE between women of different levels of adiposity.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>33961322</pmid><doi>10.1002/ajhb.23610</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4259-3225</orcidid><orcidid>https://orcid.org/0000-0002-5405-304X</orcidid></addata></record> |
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| ispartof | American journal of human biology, 2022-02, Vol.34 (2), p.e23610-n/a |
| issn | 1042-0533 1520-6300 |
| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Absorptiometry, Photon Adipose tissue Adiposity Basal Metabolism Body Composition Body fat Calorimetry, Indirect Energy expenditure Energy Metabolism Female Humans Obesity |
| title | Effects of adiposity and body composition on adjusted resting energy expenditure in women |
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