Loading…
Changes in resting metabolic rate in an elderly German population: Cross-sectional and longitudinal data
Background/Objectives This study investigates age-dependent changes in resting metabolic rate (RMR) considering changes in body composition and fat distribution within the longitudinal study on nutrition and health status in an aging population in Giessen (GISELA), Germany, using three different app...
Saved in:
Published in: | The Journal of nutrition, health & aging health & aging, 2010-03, Vol.14 (3), p.232-236 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3 |
---|---|
cites | cdi_FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3 |
container_end_page | 236 |
container_issue | 3 |
container_start_page | 232 |
container_title | The Journal of nutrition, health & aging |
container_volume | 14 |
creator | Luhrmann, P. M. Edelmann-Schafer, B. Neuhauser-Berthold, Monika |
description | Background/Objectives
This study investigates age-dependent changes in resting metabolic rate (RMR) considering changes in body composition and fat distribution within the longitudinal study on nutrition and health status in an aging population in Giessen (GISELA), Germany, using three different approaches.
Subjects/Methods
In approach 1 cross-sectional data from 358 female and 155 male participants of the GISELA study were evaluated (mean age of 67.4 ± 5.9 and 66.9 ± 5.2 y, respectively). In approach 2 longitudinal data of 107 female and 55 male subjects who participated over a follow up period of 10 years were analysed. In approach 3 all data obtained at a total of 3033 visits from 363 women and 153 men between 1994 and 2006 were evaluated. The mean duration of follow-up was eight years. RMR was assessed by indirect calorimetry.
Results
Approach 1: RMR correlates significantly negatively with age in women and men. Considering fat free mass, fat mass, and WHR, age proved to be a significant predictor of RMR in both sexes in multiple regression analysis; RMR falls by 11.2 kJ/d and 34.1 kJ/d per year in females and males, respectively. Approach 2: In males but not in females RMR decreases significantly in the course of the follow up. After ten years measured RMR is significantly lower than expected RMR predicted on the basis of body composition and fat distribution in females and males. Deviations correspond to a decline in RMR by 11.4 and 27.5 kJ/d per year independently of changes in body composition and fat distribution. Approach 3: Results of the mixed linear model show that RMR decreases in the course of aging in both women and men; after considering changes in body composition and fat distribution respective decreases were 8.7 and 30.7 kJ/d per year.
Conclusions
These results indicate that the decline in RMR with advancing age cannot be totally due to changes in body composition. |
doi_str_mv | 10.1007/s12603-010-0055-4 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_733869765</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2025528721</sourcerecordid><originalsourceid>FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3</originalsourceid><addsrcrecordid>eNp1kU1r3DAQhkVJadK0PyCXYAKlJzUj2frKLSxtWgj00pzFWNJuFGR7I9mH_PvK7LaBQnWRZuaZL72EXDD4wgDUdWFcQkuBAQUQgnZvyBlTEmintD6pb64MVQrUKXlfyhNAJ4yW78gpB2YYF-aMPG4ecdyF0sSxyaHMcdw1Q5ixn1J0TcY5rBEcm5B8yOmluQt5qOZ-2i8J5ziNN80mT6XQEtxqYqq0b9I07uK8-Lg6PM74gbzdYirh4_E-Jw_fvv7afKf3P-9-bG7vqRNgZsoF9kx60L2rO5i-VbzVAr1AwZH3vXa-k1y7joPQqhMQTAgomQ9GcuexPSefD3X3eXpe6kZ2iMWFlHAM01KsalstjZKiklf_kE_Tkuu8xfJ6tFSKVYgdILcumcPW7nMcML9YBnYVwR5EsFUEu4pgu5pzeSy89EPwfzP-_HoFPh0BLA7TNuPoYnnlKlPHXJvzA1dqqKqUXyf8f_ffVSmevQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>222286771</pqid></control><display><type>article</type><title>Changes in resting metabolic rate in an elderly German population: Cross-sectional and longitudinal data</title><source>Springer Nature</source><creator>Luhrmann, P. M. ; Edelmann-Schafer, B. ; Neuhauser-Berthold, Monika</creator><creatorcontrib>Luhrmann, P. M. ; Edelmann-Schafer, B. ; Neuhauser-Berthold, Monika</creatorcontrib><description>Background/Objectives
This study investigates age-dependent changes in resting metabolic rate (RMR) considering changes in body composition and fat distribution within the longitudinal study on nutrition and health status in an aging population in Giessen (GISELA), Germany, using three different approaches.
Subjects/Methods
In approach 1 cross-sectional data from 358 female and 155 male participants of the GISELA study were evaluated (mean age of 67.4 ± 5.9 and 66.9 ± 5.2 y, respectively). In approach 2 longitudinal data of 107 female and 55 male subjects who participated over a follow up period of 10 years were analysed. In approach 3 all data obtained at a total of 3033 visits from 363 women and 153 men between 1994 and 2006 were evaluated. The mean duration of follow-up was eight years. RMR was assessed by indirect calorimetry.
Results
Approach 1: RMR correlates significantly negatively with age in women and men. Considering fat free mass, fat mass, and WHR, age proved to be a significant predictor of RMR in both sexes in multiple regression analysis; RMR falls by 11.2 kJ/d and 34.1 kJ/d per year in females and males, respectively. Approach 2: In males but not in females RMR decreases significantly in the course of the follow up. After ten years measured RMR is significantly lower than expected RMR predicted on the basis of body composition and fat distribution in females and males. Deviations correspond to a decline in RMR by 11.4 and 27.5 kJ/d per year independently of changes in body composition and fat distribution. Approach 3: Results of the mixed linear model show that RMR decreases in the course of aging in both women and men; after considering changes in body composition and fat distribution respective decreases were 8.7 and 30.7 kJ/d per year.
Conclusions
These results indicate that the decline in RMR with advancing age cannot be totally due to changes in body composition.</description><identifier>ISSN: 1279-7707</identifier><identifier>EISSN: 1760-4788</identifier><identifier>DOI: 10.1007/s12603-010-0055-4</identifier><identifier>PMID: 20191259</identifier><language>eng</language><publisher>Paris: Springer-Verlag</publisher><subject>Adipose Tissue ; Aged ; Aging ; Aging - metabolism ; Basal Metabolism - physiology ; Biological and medical sciences ; Body Composition ; Body Fat Distribution ; Body Mass Index ; Calorimetry, Indirect - methods ; Cross-Sectional Studies ; Feeding. Feeding behavior ; Female ; Fundamental and applied biological sciences. Psychology ; Geriatrics/Gerontology ; Germany ; Humans ; Longitudinal Studies ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neurosciences ; Nutrition ; Primary Care Medicine ; Quality of Life Research ; Sex Factors ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; Waist-Hip Ratio</subject><ispartof>The Journal of nutrition, health & aging, 2010-03, Vol.14 (3), p.232-236</ispartof><rights>Serdi and Springer Verlag France 2010</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Springer Science & Business Media Mar 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3</citedby><cites>FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22597331$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20191259$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luhrmann, P. M.</creatorcontrib><creatorcontrib>Edelmann-Schafer, B.</creatorcontrib><creatorcontrib>Neuhauser-Berthold, Monika</creatorcontrib><title>Changes in resting metabolic rate in an elderly German population: Cross-sectional and longitudinal data</title><title>The Journal of nutrition, health & aging</title><addtitle>J Nutr Health Aging</addtitle><addtitle>J Nutr Health Aging</addtitle><description>Background/Objectives
This study investigates age-dependent changes in resting metabolic rate (RMR) considering changes in body composition and fat distribution within the longitudinal study on nutrition and health status in an aging population in Giessen (GISELA), Germany, using three different approaches.
Subjects/Methods
In approach 1 cross-sectional data from 358 female and 155 male participants of the GISELA study were evaluated (mean age of 67.4 ± 5.9 and 66.9 ± 5.2 y, respectively). In approach 2 longitudinal data of 107 female and 55 male subjects who participated over a follow up period of 10 years were analysed. In approach 3 all data obtained at a total of 3033 visits from 363 women and 153 men between 1994 and 2006 were evaluated. The mean duration of follow-up was eight years. RMR was assessed by indirect calorimetry.
Results
Approach 1: RMR correlates significantly negatively with age in women and men. Considering fat free mass, fat mass, and WHR, age proved to be a significant predictor of RMR in both sexes in multiple regression analysis; RMR falls by 11.2 kJ/d and 34.1 kJ/d per year in females and males, respectively. Approach 2: In males but not in females RMR decreases significantly in the course of the follow up. After ten years measured RMR is significantly lower than expected RMR predicted on the basis of body composition and fat distribution in females and males. Deviations correspond to a decline in RMR by 11.4 and 27.5 kJ/d per year independently of changes in body composition and fat distribution. Approach 3: Results of the mixed linear model show that RMR decreases in the course of aging in both women and men; after considering changes in body composition and fat distribution respective decreases were 8.7 and 30.7 kJ/d per year.
Conclusions
These results indicate that the decline in RMR with advancing age cannot be totally due to changes in body composition.</description><subject>Adipose Tissue</subject><subject>Aged</subject><subject>Aging</subject><subject>Aging - metabolism</subject><subject>Basal Metabolism - physiology</subject><subject>Biological and medical sciences</subject><subject>Body Composition</subject><subject>Body Fat Distribution</subject><subject>Body Mass Index</subject><subject>Calorimetry, Indirect - methods</subject><subject>Cross-Sectional Studies</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Geriatrics/Gerontology</subject><subject>Germany</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neurosciences</subject><subject>Nutrition</subject><subject>Primary Care Medicine</subject><subject>Quality of Life Research</subject><subject>Sex Factors</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>Waist-Hip Ratio</subject><issn>1279-7707</issn><issn>1760-4788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp1kU1r3DAQhkVJadK0PyCXYAKlJzUj2frKLSxtWgj00pzFWNJuFGR7I9mH_PvK7LaBQnWRZuaZL72EXDD4wgDUdWFcQkuBAQUQgnZvyBlTEmintD6pb64MVQrUKXlfyhNAJ4yW78gpB2YYF-aMPG4ecdyF0sSxyaHMcdw1Q5ixn1J0TcY5rBEcm5B8yOmluQt5qOZ-2i8J5ziNN80mT6XQEtxqYqq0b9I07uK8-Lg6PM74gbzdYirh4_E-Jw_fvv7afKf3P-9-bG7vqRNgZsoF9kx60L2rO5i-VbzVAr1AwZH3vXa-k1y7joPQqhMQTAgomQ9GcuexPSefD3X3eXpe6kZ2iMWFlHAM01KsalstjZKiklf_kE_Tkuu8xfJ6tFSKVYgdILcumcPW7nMcML9YBnYVwR5EsFUEu4pgu5pzeSy89EPwfzP-_HoFPh0BLA7TNuPoYnnlKlPHXJvzA1dqqKqUXyf8f_ffVSmevQ</recordid><startdate>20100301</startdate><enddate>20100301</enddate><creator>Luhrmann, P. M.</creator><creator>Edelmann-Schafer, B.</creator><creator>Neuhauser-Berthold, Monika</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20100301</creationdate><title>Changes in resting metabolic rate in an elderly German population: Cross-sectional and longitudinal data</title><author>Luhrmann, P. M. ; Edelmann-Schafer, B. ; Neuhauser-Berthold, Monika</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adipose Tissue</topic><topic>Aged</topic><topic>Aging</topic><topic>Aging - metabolism</topic><topic>Basal Metabolism - physiology</topic><topic>Biological and medical sciences</topic><topic>Body Composition</topic><topic>Body Fat Distribution</topic><topic>Body Mass Index</topic><topic>Calorimetry, Indirect - methods</topic><topic>Cross-Sectional Studies</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Geriatrics/Gerontology</topic><topic>Germany</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neurosciences</topic><topic>Nutrition</topic><topic>Primary Care Medicine</topic><topic>Quality of Life Research</topic><topic>Sex Factors</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>Waist-Hip Ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luhrmann, P. M.</creatorcontrib><creatorcontrib>Edelmann-Schafer, B.</creatorcontrib><creatorcontrib>Neuhauser-Berthold, Monika</creatorcontrib><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</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 China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nutrition, health & aging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luhrmann, P. M.</au><au>Edelmann-Schafer, B.</au><au>Neuhauser-Berthold, Monika</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in resting metabolic rate in an elderly German population: Cross-sectional and longitudinal data</atitle><jtitle>The Journal of nutrition, health & aging</jtitle><stitle>J Nutr Health Aging</stitle><addtitle>J Nutr Health Aging</addtitle><date>2010-03-01</date><risdate>2010</risdate><volume>14</volume><issue>3</issue><spage>232</spage><epage>236</epage><pages>232-236</pages><issn>1279-7707</issn><eissn>1760-4788</eissn><abstract>Background/Objectives
This study investigates age-dependent changes in resting metabolic rate (RMR) considering changes in body composition and fat distribution within the longitudinal study on nutrition and health status in an aging population in Giessen (GISELA), Germany, using three different approaches.
Subjects/Methods
In approach 1 cross-sectional data from 358 female and 155 male participants of the GISELA study were evaluated (mean age of 67.4 ± 5.9 and 66.9 ± 5.2 y, respectively). In approach 2 longitudinal data of 107 female and 55 male subjects who participated over a follow up period of 10 years were analysed. In approach 3 all data obtained at a total of 3033 visits from 363 women and 153 men between 1994 and 2006 were evaluated. The mean duration of follow-up was eight years. RMR was assessed by indirect calorimetry.
Results
Approach 1: RMR correlates significantly negatively with age in women and men. Considering fat free mass, fat mass, and WHR, age proved to be a significant predictor of RMR in both sexes in multiple regression analysis; RMR falls by 11.2 kJ/d and 34.1 kJ/d per year in females and males, respectively. Approach 2: In males but not in females RMR decreases significantly in the course of the follow up. After ten years measured RMR is significantly lower than expected RMR predicted on the basis of body composition and fat distribution in females and males. Deviations correspond to a decline in RMR by 11.4 and 27.5 kJ/d per year independently of changes in body composition and fat distribution. Approach 3: Results of the mixed linear model show that RMR decreases in the course of aging in both women and men; after considering changes in body composition and fat distribution respective decreases were 8.7 and 30.7 kJ/d per year.
Conclusions
These results indicate that the decline in RMR with advancing age cannot be totally due to changes in body composition.</abstract><cop>Paris</cop><pub>Springer-Verlag</pub><pmid>20191259</pmid><doi>10.1007/s12603-010-0055-4</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1279-7707 |
ispartof | The Journal of nutrition, health & aging, 2010-03, Vol.14 (3), p.232-236 |
issn | 1279-7707 1760-4788 |
language | eng |
recordid | cdi_proquest_miscellaneous_733869765 |
source | Springer Nature |
subjects | Adipose Tissue Aged Aging Aging - metabolism Basal Metabolism - physiology Biological and medical sciences Body Composition Body Fat Distribution Body Mass Index Calorimetry, Indirect - methods Cross-Sectional Studies Feeding. Feeding behavior Female Fundamental and applied biological sciences. Psychology Geriatrics/Gerontology Germany Humans Longitudinal Studies Male Medicine Medicine & Public Health Middle Aged Neurosciences Nutrition Primary Care Medicine Quality of Life Research Sex Factors Vertebrates: anatomy and physiology, studies on body, several organs or systems Waist-Hip Ratio |
title | Changes in resting metabolic rate in an elderly German population: Cross-sectional and longitudinal data |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T16%3A14%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Changes%20in%20resting%20metabolic%20rate%20in%20an%20elderly%20German%20population:%20Cross-sectional%20and%20longitudinal%20data&rft.jtitle=The%20Journal%20of%20nutrition,%20health%20&%20aging&rft.au=Luhrmann,%20P.%20M.&rft.date=2010-03-01&rft.volume=14&rft.issue=3&rft.spage=232&rft.epage=236&rft.pages=232-236&rft.issn=1279-7707&rft.eissn=1760-4788&rft_id=info:doi/10.1007/s12603-010-0055-4&rft_dat=%3Cproquest_cross%3E2025528721%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c509t-25ab16d08bc7889b372385ad5a52a2bb8cd4628c420587450e9eea61de962cda3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=222286771&rft_id=info:pmid/20191259&rfr_iscdi=true |