Gender differences in adiponectin levels and body composition in older adults: Hallym aging study

Background Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear. Methods There were 152 males and 168 females aged 65 years or older that partici...

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Published inBMC geriatrics Vol. 14; no. 1; p. 8
Main Authors Song, Hong Ji, Oh, Sohee, Quan, Shanai, Ryu, Ohk-Hyun, Jeong, Jin-Young, Hong, Kyung-Soon, Kim, Dong-Hyun
Format Journal Article
LanguageEnglish
Published London BioMed Central 25.01.2014
Subjects
Absorptiometry, Photon - methods
Adiponectin - blood
Age
Aged
Aged, 80 and over
Aging
Aging - blood
Aging - physiology
Biology and technology
Biomarkers - blood
Blood pressure
Body Composition - physiology
Body fat
Cardiovascular disease
Cholesterol
Cohort Studies
Family medical history
Female
Females
Follow-Up Studies
Geriatrics
Geriatrics/Gerontology
Glucose
Humans
Insulin
Insulin resistance
Male
Males
Medicine
Medicine & Public Health
Middle Aged
Plasma
Population
Preventive medicine
Prospective Studies
Questionnaires
Rehabilitation
Republic of Korea - epidemiology
Research Article
Sample size
Sex Characteristics
Studies
Republic of Korea
Older adults
Ageing
Body composition
Gender difference
Adiponectin
Online AccessGet full text
ISSN1471-2318
1471-2318
DOI10.1186/1471-2318-14-8

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Abstract Background Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear. Methods There were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors. Results In correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender. Conclusion Plasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.
AbstractList Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear. There were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors. In correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender. Plasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.
Background Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear. Methods There were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors. Results In correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender. Conclusion Plasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.
Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear.BACKGROUNDBody composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear.There were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors.METHODSThere were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors.In correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender.RESULTSIn correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender.Plasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.CONCLUSIONPlasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.
Doc number: 8 Abstract Background: Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear. Methods: There were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors. Results: In correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender. Conclusion: Plasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.
ArticleNumber 8
Author Oh, Sohee
Quan, Shanai
Song, Hong Ji
Kim, Dong-Hyun
Jeong, Jin-Young
Hong, Kyung-Soon
Ryu, Ohk-Hyun
AuthorAffiliation 2 Department of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea
1 Department of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Halym University, Anyang, Korea
4 Hallym Research Institute of Clinical Epidemiology, Chuncheon, Korea
3 Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea
6 Korea Health Promotion Foundation, Seoul, Korea
5 Department of Endocrinology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, Korea
7 Department of Cardiology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, Korea
AuthorAffiliation_xml – name: 6 Korea Health Promotion Foundation, Seoul, Korea
– name: 2 Department of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea
– name: 3 Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea
– name: 7 Department of Cardiology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, Korea
– name: 4 Hallym Research Institute of Clinical Epidemiology, Chuncheon, Korea
– name: 1 Department of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Halym University, Anyang, Korea
– name: 5 Department of Endocrinology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, Korea
Author_xml – sequence: 1
  givenname: Hong Ji
  surname: Song
  fullname: Song, Hong Ji
  organization: Department of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Halym University
– sequence: 2
  givenname: Sohee
  surname: Oh
  fullname: Oh, Sohee
  organization: Department of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center
– sequence: 3
  givenname: Shanai
  surname: Quan
  fullname: Quan, Shanai
  organization: Department of Social and Preventive Medicine, Hallym University College of Medicine, Hallym Research Institute of Clinical Epidemiology
– sequence: 4
  givenname: Ohk-Hyun
  surname: Ryu
  fullname: Ryu, Ohk-Hyun
  organization: Department of Endocrinology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University
– sequence: 5
  givenname: Jin-Young
  surname: Jeong
  fullname: Jeong, Jin-Young
  organization: Korea Health Promotion Foundation
– sequence: 6
  givenname: Kyung-Soon
  surname: Hong
  fullname: Hong, Kyung-Soon
  organization: Department of Cardiology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University
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  givenname: Dong-Hyun
  surname: Kim
  fullname: Kim, Dong-Hyun
  email: dhkims@hallym.ac.kr
  organization: Department of Social and Preventive Medicine, Hallym University College of Medicine, Hallym Research Institute of Clinical Epidemiology
BackLink https://www.ncbi.nlm.nih.gov/pubmed/24460637$$D View this record in MEDLINE/PubMed
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2014 Song et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright © 2014 Song et al.; licensee BioMed Central Ltd. 2014 Song et al.; licensee BioMed Central Ltd.
Copyright_xml – notice: Song et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Issue 1
Keywords Older adults
Ageing
Body composition
Gender difference
Adiponectin
Language English
License This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Snippet Background Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with...
Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with...
Doc number: 8 Abstract Background: Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition...
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SubjectTerms Absorptiometry, Photon - methods
Adiponectin - blood
Age
Aged
Aged, 80 and over
Aging
Aging - blood
Aging - physiology
Biology and technology
Biomarkers - blood
Blood pressure
Body Composition - physiology
Body fat
Cardiovascular disease
Cholesterol
Cohort Studies
Family medical history
Female
Females
Follow-Up Studies
Geriatrics
Geriatrics/Gerontology
Glucose
Humans
Insulin
Insulin resistance
Male
Males
Medicine
Medicine & Public Health
Middle Aged
Plasma
Population
Preventive medicine
Prospective Studies
Questionnaires
Rehabilitation
Republic of Korea - epidemiology
Research Article
Sample size
Sex Characteristics
Studies
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Title Gender differences in adiponectin levels and body composition in older adults: Hallym aging study
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