Are sociodemographic and anthropometric variables effective in screening probable and confirmed sarcopenia in community-dwelling older adults? A cross-sectional study
Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to identify and treat older people susceptible to this condition. To identify cutoff points for sociodemographic and anthropometric variables in scre...
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Published in | São Paulo medical journal Vol. 141; no. 4; p. e2022141 |
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2022
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Abstract | Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to identify and treat older people susceptible to this condition.
To identify cutoff points for sociodemographic and anthropometric variables in screening probable and confirmed sarcopenia in community-dwelling older adults.
This was a cross-sectional study of community-dwelling older adults in Araranguá, Santa Catarina, Brazil.
Sociodemographic (age, education) and anthropometric (weight, height, body mass index [BMI], waist circumference [WC], and dominant calf circumference [DCC]) factors were considered as predictors. The outcomes were probable sarcopenia (reduction in muscle strength assessed by time ≥ 15 s in the five-time sit-to-stand test) and confirmed sarcopenia (reduction in strength and muscle mass). Receiver operating characteristic curve analysis was used to analyze the ability to track sociodemographic and anthropometric variables for sarcopenia.
In 308 older adults, WC > 91 cm in women and age > 69 years in men were useful in screening for probable sarcopenia. The variables age, weight, BMI, WC, and DCC can be used to screen for sarcopenia in older women and men.
Sociodemographic and anthropometric variables are simple and accessible tools for sarcopenia screening in older adults. |
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AbstractList | ABSTRACT BACKGROUND: Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to identify and treat older people susceptible to this condition. OBJECTIVES: To identify cutoff points for sociodemographic and anthropometric variables in screening probable and confirmed sarcopenia in community-dwelling older adults. DESIGN AND SETTING: This was a cross-sectional study of community-dwelling older adults in Araranguá, Santa Catarina, Brazil. METHODS: Sociodemographic (age, education) and anthropometric (weight, height, body mass index [BMI], waist circumference [WC], and dominant calf circumference [DCC]) factors were considered as predictors. The outcomes were probable sarcopenia (reduction in muscle strength assessed by time ≥ 15 s in the five-time sit-to-stand test) and confirmed sarcopenia (reduction in strength and muscle mass). Receiver operating characteristic curve analysis was used to analyze the ability to track sociodemographic and anthropometric variables for sarcopenia. RESULTS: In 308 older adults, WC > 91 cm in women and age > 69 years in men were useful in screening for probable sarcopenia. The variables age, weight, BMI, WC, and DCC can be used to screen for sarcopenia in older women and men. CONCLUSION: Sociodemographic and anthropometric variables are simple and accessible tools for sarcopenia screening in older adults. Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to identify and treat older people susceptible to this condition. To identify cutoff points for sociodemographic and anthropometric variables in screening probable and confirmed sarcopenia in community-dwelling older adults. This was a cross-sectional study of community-dwelling older adults in Araranguá, Santa Catarina, Brazil. Sociodemographic (age, education) and anthropometric (weight, height, body mass index [BMI], waist circumference [WC], and dominant calf circumference [DCC]) factors were considered as predictors. The outcomes were probable sarcopenia (reduction in muscle strength assessed by time ≥ 15 s in the five-time sit-to-stand test) and confirmed sarcopenia (reduction in strength and muscle mass). Receiver operating characteristic curve analysis was used to analyze the ability to track sociodemographic and anthropometric variables for sarcopenia. In 308 older adults, WC > 91 cm in women and age > 69 years in men were useful in screening for probable sarcopenia. The variables age, weight, BMI, WC, and DCC can be used to screen for sarcopenia in older women and men. Sociodemographic and anthropometric variables are simple and accessible tools for sarcopenia screening in older adults. BACKGROUNDScreening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to identify and treat older people susceptible to this condition. OBJECTIVESTo identify cutoff points for sociodemographic and anthropometric variables in screening probable and confirmed sarcopenia in community-dwelling older adults. DESIGN AND SETTINGThis was a cross-sectional study of community-dwelling older adults in Araranguá, Santa Catarina, Brazil. METHODSSociodemographic (age, education) and anthropometric (weight, height, body mass index [BMI], waist circumference [WC], and dominant calf circumference [DCC]) factors were considered as predictors. The outcomes were probable sarcopenia (reduction in muscle strength assessed by time ≥ 15 s in the five-time sit-to-stand test) and confirmed sarcopenia (reduction in strength and muscle mass). Receiver operating characteristic curve analysis was used to analyze the ability to track sociodemographic and anthropometric variables for sarcopenia. RESULTSIn 308 older adults, WC > 91 cm in women and age > 69 years in men were useful in screening for probable sarcopenia. The variables age, weight, BMI, WC, and DCC can be used to screen for sarcopenia in older women and men. CONCLUSIONSociodemographic and anthropometric variables are simple and accessible tools for sarcopenia screening in older adults. |
Author | Mendonça, Vanessa Amaral Lacerda, Ana Cristina Rodrigues Souza, Larissa Franciny de Danielewicz, Ana Lúcia Leopoldino, Amanda Aparecida Oliveira Fontanela, Laís Coan Avelar, Núbia Carelli Pereira de |
AuthorAffiliation | Faculdade de Ciências Médicas de Minas Gerais Universidade Federal dos Vales do Jequitinhonha e Mucuri Universidade Federal de Santa Catarina |
AuthorAffiliation_xml | – name: Universidade Federal de Santa Catarina – name: Faculdade de Ciências Médicas de Minas Gerais – name: Universidade Federal dos Vales do Jequitinhonha e Mucuri |
Author_xml | – sequence: 1 givenname: Larissa Franciny de orcidid: 0000-0002-1194-1135 surname: Souza fullname: Souza, Larissa Franciny de organization: PT. Physical Therapist, Department of Health Sciences, Universidade Federal de Santa Catarina (UFSC), Araranguá (SC), Brazil – sequence: 2 givenname: Laís Coan orcidid: 0000-0002-9058-2758 surname: Fontanela fullname: Fontanela, Laís Coan organization: PT. Physical Therapist, Department of Health Sciences, Universidade Federal de Santa Catarina (UFSC), Araranguá (SC), Brazil – sequence: 3 givenname: Amanda Aparecida Oliveira orcidid: 0000-0002-3958-7107 surname: Leopoldino fullname: Leopoldino, Amanda Aparecida Oliveira organization: PT, MSc, PhD. Adjunct Professor, Postgraduate Program, Faculdade de Ciências Médicas de Minas Gerais (FCM-MG), Belo Horizonte (MG), Brazil – sequence: 4 givenname: Vanessa Amaral orcidid: 0000-0002-1696-6091 surname: Mendonça fullname: Mendonça, Vanessa Amaral organization: PT, MSc, PhD. Associate Professor, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina (MG), Brazil – sequence: 5 givenname: Ana Lúcia orcidid: 0000-0003-1563-0470 surname: Danielewicz fullname: Danielewicz, Ana Lúcia organization: PT, MSc, PhD. Adjunct Professor, Department of Health Sciences, Universidade Federal de Santa Catarina (UFSC), Araranguá (SC), Brazil – sequence: 6 givenname: Ana Cristina Rodrigues orcidid: 0000-0001-5366-3754 surname: Lacerda fullname: Lacerda, Ana Cristina Rodrigues organization: PT, MSc, PhD. Associate Professor, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina (MG), Brazil – sequence: 7 givenname: Núbia Carelli Pereira de orcidid: 0000-0003-4212-4039 surname: Avelar fullname: Avelar, Núbia Carelli Pereira de organization: PT, MSc, PhD. Adjunct Professor, Department of Health Sciences, Universidade Federal de Santa Catarina (UFSC), Araranguá (SC), Brazil |
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Cites_doi | 10.1093/ageing/afy169 10.1186/1471-2318-9-19 10.3346/jkms.2013.28.7.1041 10.1007/s41999-019-00233-w 10.1016/j.arr.2016.09.008 10.1186/s12877-020-01718-1 10.1186/s40200-017-0302-x 10.1155/2013/204164 10.1016/j.jamda.2016.08.004 10.1001/jama.2019.5795 10.1002/jcsm.12049 10.1016/j.genm.2012.10.004 10.3390/nu11061302 10.1016/j.exger.2019.03.005 10.1002/(SICI)1099-1166(199910)14:10<858::AID-GPS35>3.0.CO;2-8 10.1111/j.1532-5415.2008.02126.x 10.1093/ageing/afq034 10.1093/ajcn/72.3.796 10.1111/ggi.12720 10.1590/1678-98652017000300002 10.1007/s13679-019-00359-9 10.1186/s12877-020-01923-y 10.6061/clinics/2019/e477 10.1016/j.jamda.2013.08.015 10.1016/j.enfcli.2018.12.010 10.1016/j.archger.2021.104379 10.1186/s12877-016-0349-4 10.1590/S1517-86922007000100004 10.1590/S1809-29502009000100002 10.1038/s41574-018-0062-9 10.1590/0102-311x00107319 10.1093/gerona/gly017 10.1007/s00198-009-1059-y 10.1007/s40520-016-0704-5 |
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Keywords | Early detection of disease Sarcopenia Body weights and measures Early diagnosis Senescence Anthropometry Aging |
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Snippet | Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to... BACKGROUNDScreening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective... ABSTRACT BACKGROUND: Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and... |
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SubjectTerms | Aged Aging Anthropometry Body weights and measures Cross-Sectional Studies Early detection of disease Early diagnosis Female Hand Strength Humans Independent Living Male MEDICINE, GENERAL & INTERNAL Muscle Strength - physiology Original Sarcopenia Sarcopenia - diagnosis Senescence |
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Title | Are sociodemographic and anthropometric variables effective in screening probable and confirmed sarcopenia in community-dwelling older adults? A cross-sectional study |
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