Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults
The aim of the study was to analyze sex and age-related body composition variations among older adults from the Brazilian, Italian, and Mexican population. A cross-sectional analysis was conducted in 1103 community-dwelling older adults (634 women and 469 men), aged 60 to 89 years, living in Brazil...
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| Veröffentlicht in: | International journal of environmental research and public health 2020-08, Vol.17 (17), p.6047 |
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| creator | Marini, Elisabetta Buffa, Roberto Gobbo, Luis Alberto Salinas-Escudero, Guillermo Stagi, Silvia García-Peña, Carmen Sánchez-García, Sergio Carrillo-Vega, María Fernanda |
| description | The aim of the study was to analyze sex and age-related body composition variations among older adults from the Brazilian, Italian, and Mexican population. A cross-sectional analysis was conducted in 1103 community-dwelling older adults (634 women and 469 men), aged 60 to 89 years, living in Brazil (
= 176), Italy (
= 554), and Mexico (
= 373). Anthropometric measurements were taken, BMI was calculated, and impedance measurements were obtained (resistance, R, reactance, Xc). Specific bioelectrical impedance vector analysis (specific BIVA) was applied, with the specific vector defined by impedance, or vector length (Z = (Rsp
+ Xcsp)
), and phase angle (PA = arctan Xc/R 180/π). Population, sex, and age differences in anthropometric and bioelectrical variables were evaluated by means of a two way ANOVA. The mean bioelectrical vectors were graphed by confidence ellipses and statistically compared by the Hotelling's T
test. The three population groups showed differences in body mass and composition (
< 0.001): the Brazilian sample was characterized by greater body dimensions, longer vectors (higher relative content of fat mass), and lower phase angles (lower skeletal muscle mass). Men were taller and heavier than women (
< 0.001) but had a similar BMI (
= 0.102). They also had higher phase angle (higher skeletal muscle mass) (
< 0.001) and lower vector length (lower %FM) (
< 0.001). In the three population groups, the oldest individuals showed lower anthropometric and phase angle values with respect to the youngest ones (
< 0.001), whereas the vector length did not change significantly with age (
= 0.665). Despite the differences between sexes and among populations, the trend of age-related variations was similar in the Brazilian, Italian, and Mexican older adults. |
| doi_str_mv | 10.3390/ijerph17176047 |
| format | Article |
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= 176), Italy (
= 554), and Mexico (
= 373). Anthropometric measurements were taken, BMI was calculated, and impedance measurements were obtained (resistance, R, reactance, Xc). Specific bioelectrical impedance vector analysis (specific BIVA) was applied, with the specific vector defined by impedance, or vector length (Z = (Rsp
+ Xcsp)
), and phase angle (PA = arctan Xc/R 180/π). Population, sex, and age differences in anthropometric and bioelectrical variables were evaluated by means of a two way ANOVA. The mean bioelectrical vectors were graphed by confidence ellipses and statistically compared by the Hotelling's T
test. The three population groups showed differences in body mass and composition (
< 0.001): the Brazilian sample was characterized by greater body dimensions, longer vectors (higher relative content of fat mass), and lower phase angles (lower skeletal muscle mass). Men were taller and heavier than women (
< 0.001) but had a similar BMI (
= 0.102). They also had higher phase angle (higher skeletal muscle mass) (
< 0.001) and lower vector length (lower %FM) (
< 0.001). In the three population groups, the oldest individuals showed lower anthropometric and phase angle values with respect to the youngest ones (
< 0.001), whereas the vector length did not change significantly with age (
= 0.665). Despite the differences between sexes and among populations, the trend of age-related variations was similar in the Brazilian, Italian, and Mexican older adults.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17176047</identifier><identifier>PMID: 32825260</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adults ; Age ; Age differences ; Age Factors ; Aged ; Aged, 80 and over ; Aging ; Anthropometry ; Bioelectricity ; Body Composition ; Body fat ; Body mass ; Body Mass Index ; Body measurements ; Brazil ; Confidence intervals ; Cross-Sectional Studies ; Electric Impedance ; Female ; Gender differences ; Humans ; Impedance ; Italy ; Male ; Mexico ; Middle Aged ; Muscles ; Musculoskeletal system ; Obesity ; Older people ; Phase shift ; Population ; Population (statistical) ; Reactance ; Sarcopenia ; Skeletal muscle ; Studies ; Variance analysis ; Variation ; Vector analysis</subject><ispartof>International journal of environmental research and public health, 2020-08, Vol.17 (17), p.6047</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-710444f40df83e58871e9962762686368d62644f99c7b4213266513eefbbc2ce3</citedby><cites>FETCH-LOGICAL-c418t-710444f40df83e58871e9962762686368d62644f99c7b4213266513eefbbc2ce3</cites><orcidid>0000-0003-4700-0000 ; 0000-0002-6469-4334 ; 0000-0003-4573-4844 ; 0000-0001-5648-7223 ; 0000-0001-8779-8745 ; 0000-0001-9449-7561</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503589/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503589/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32825260$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marini, Elisabetta</creatorcontrib><creatorcontrib>Buffa, Roberto</creatorcontrib><creatorcontrib>Gobbo, Luis Alberto</creatorcontrib><creatorcontrib>Salinas-Escudero, Guillermo</creatorcontrib><creatorcontrib>Stagi, Silvia</creatorcontrib><creatorcontrib>García-Peña, Carmen</creatorcontrib><creatorcontrib>Sánchez-García, Sergio</creatorcontrib><creatorcontrib>Carrillo-Vega, María Fernanda</creatorcontrib><title>Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The aim of the study was to analyze sex and age-related body composition variations among older adults from the Brazilian, Italian, and Mexican population. A cross-sectional analysis was conducted in 1103 community-dwelling older adults (634 women and 469 men), aged 60 to 89 years, living in Brazil (
= 176), Italy (
= 554), and Mexico (
= 373). Anthropometric measurements were taken, BMI was calculated, and impedance measurements were obtained (resistance, R, reactance, Xc). Specific bioelectrical impedance vector analysis (specific BIVA) was applied, with the specific vector defined by impedance, or vector length (Z = (Rsp
+ Xcsp)
), and phase angle (PA = arctan Xc/R 180/π). Population, sex, and age differences in anthropometric and bioelectrical variables were evaluated by means of a two way ANOVA. The mean bioelectrical vectors were graphed by confidence ellipses and statistically compared by the Hotelling's T
test. The three population groups showed differences in body mass and composition (
< 0.001): the Brazilian sample was characterized by greater body dimensions, longer vectors (higher relative content of fat mass), and lower phase angles (lower skeletal muscle mass). Men were taller and heavier than women (
< 0.001) but had a similar BMI (
= 0.102). They also had higher phase angle (higher skeletal muscle mass) (
< 0.001) and lower vector length (lower %FM) (
< 0.001). In the three population groups, the oldest individuals showed lower anthropometric and phase angle values with respect to the youngest ones (
< 0.001), whereas the vector length did not change significantly with age (
= 0.665). 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A cross-sectional analysis was conducted in 1103 community-dwelling older adults (634 women and 469 men), aged 60 to 89 years, living in Brazil (
= 176), Italy (
= 554), and Mexico (
= 373). Anthropometric measurements were taken, BMI was calculated, and impedance measurements were obtained (resistance, R, reactance, Xc). Specific bioelectrical impedance vector analysis (specific BIVA) was applied, with the specific vector defined by impedance, or vector length (Z = (Rsp
+ Xcsp)
), and phase angle (PA = arctan Xc/R 180/π). Population, sex, and age differences in anthropometric and bioelectrical variables were evaluated by means of a two way ANOVA. The mean bioelectrical vectors were graphed by confidence ellipses and statistically compared by the Hotelling's T
test. The three population groups showed differences in body mass and composition (
< 0.001): the Brazilian sample was characterized by greater body dimensions, longer vectors (higher relative content of fat mass), and lower phase angles (lower skeletal muscle mass). Men were taller and heavier than women (
< 0.001) but had a similar BMI (
= 0.102). They also had higher phase angle (higher skeletal muscle mass) (
< 0.001) and lower vector length (lower %FM) (
< 0.001). In the three population groups, the oldest individuals showed lower anthropometric and phase angle values with respect to the youngest ones (
< 0.001), whereas the vector length did not change significantly with age (
= 0.665). Despite the differences between sexes and among populations, the trend of age-related variations was similar in the Brazilian, Italian, and Mexican older adults.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32825260</pmid><doi>10.3390/ijerph17176047</doi><orcidid>https://orcid.org/0000-0003-4700-0000</orcidid><orcidid>https://orcid.org/0000-0002-6469-4334</orcidid><orcidid>https://orcid.org/0000-0003-4573-4844</orcidid><orcidid>https://orcid.org/0000-0001-5648-7223</orcidid><orcidid>https://orcid.org/0000-0001-8779-8745</orcidid><orcidid>https://orcid.org/0000-0001-9449-7561</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
| subjects | Adults Age Age differences Age Factors Aged Aged, 80 and over Aging Anthropometry Bioelectricity Body Composition Body fat Body mass Body Mass Index Body measurements Brazil Confidence intervals Cross-Sectional Studies Electric Impedance Female Gender differences Humans Impedance Italy Male Mexico Middle Aged Muscles Musculoskeletal system Obesity Older people Phase shift Population Population (statistical) Reactance Sarcopenia Skeletal muscle Studies Variance analysis Variation Vector analysis |
| title | Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults |
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