Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study
Abstract Introduction: appropriate appendicular lean soft tissue (ALST) parameters to identify sarcopenia in Brazil are scarce. The use of international references may lead to a false positive diagnosis. The objective was to propose cut-off points to identify sarcopenia in older men and women using DXA-derived ALST values from a young adult population. Methods: this was an observational study with a cross-sectional analysis. University students of both sexes (n = 125), aged 20 to 30 years, underwent anthropometric measurements and DXA scanning to obtain their ALST (kg). Cut-off points for sarcopenia were set at -2 standard deviations (-2SDs) away from the mean ALST of a young sample. Absolute values and index (ALST/height2, ALST/weight, and ALST/body mass index [BMI]) were considered as recommended by international consensus. Results: compared to women, men presented higher values of weight, height, BMI, bone mineral content, lean soft tissue, ALST, and ALST index (kg/m²). Only fat mass was higher in women, and age was not different between genders. The -2SD ALST index obtained were ≤ 6.56 kg/m² for men and ≤ 4.67 kg/m² for women. They were below international and national values, which tended to classify false positives. Conclusions: the -2SD ALST values proposed here are validated cut-offs for identifying low muscle in older adults and to prevent misdiagnosis with sarcopenia. In addition, they contribute to efficient monitoring and control of this disease in geriatric populations.
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2020
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oai:scielo:S0212-161120200003000122020-07-29Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional studyAbdalla,Pedro PugliesiSilva,Analiza MónicaVenturini,Ana Claudia RossiniSantos,André Pereira dosCarvalho,Anderson dos SantosSiqueira,Vitor Antonio Assis AlvesGomide,Euripedes BarsanulfoAlves,Natália Maira da CruzFerriolli,EduardoMachado,Dalmo Roberto Lopes Anthropometry Absorptiometry Frailty Sarcopenia Ageing Brazil Abstract Introduction: appropriate appendicular lean soft tissue (ALST) parameters to identify sarcopenia in Brazil are scarce. The use of international references may lead to a false positive diagnosis. The objective was to propose cut-off points to identify sarcopenia in older men and women using DXA-derived ALST values from a young adult population. Methods: this was an observational study with a cross-sectional analysis. University students of both sexes (n = 125), aged 20 to 30 years, underwent anthropometric measurements and DXA scanning to obtain their ALST (kg). Cut-off points for sarcopenia were set at -2 standard deviations (-2SDs) away from the mean ALST of a young sample. Absolute values and index (ALST/height2, ALST/weight, and ALST/body mass index [BMI]) were considered as recommended by international consensus. Results: compared to women, men presented higher values of weight, height, BMI, bone mineral content, lean soft tissue, ALST, and ALST index (kg/m²). Only fat mass was higher in women, and age was not different between genders. The -2SD ALST index obtained were ≤ 6.56 kg/m² for men and ≤ 4.67 kg/m² for women. They were below international and national values, which tended to classify false positives. Conclusions: the -2SD ALST values proposed here are validated cut-offs for identifying low muscle in older adults and to prevent misdiagnosis with sarcopenia. In addition, they contribute to efficient monitoring and control of this disease in geriatric populations.Grupo AránNutrición Hospitalaria v.37 n.2 20202020-04-01journal articletext/htmlhttp://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112020000300012en |
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Abdalla,Pedro Pugliesi Silva,Analiza Mónica Venturini,Ana Claudia Rossini Santos,André Pereira dos Carvalho,Anderson dos Santos Siqueira,Vitor Antonio Assis Alves Gomide,Euripedes Barsanulfo Alves,Natália Maira da Cruz Ferriolli,Eduardo Machado,Dalmo Roberto Lopes |
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Abdalla,Pedro Pugliesi Silva,Analiza Mónica Venturini,Ana Claudia Rossini Santos,André Pereira dos Carvalho,Anderson dos Santos Siqueira,Vitor Antonio Assis Alves Gomide,Euripedes Barsanulfo Alves,Natália Maira da Cruz Ferriolli,Eduardo Machado,Dalmo Roberto Lopes Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study |
| author_facet |
Abdalla,Pedro Pugliesi Silva,Analiza Mónica Venturini,Ana Claudia Rossini Santos,André Pereira dos Carvalho,Anderson dos Santos Siqueira,Vitor Antonio Assis Alves Gomide,Euripedes Barsanulfo Alves,Natália Maira da Cruz Ferriolli,Eduardo Machado,Dalmo Roberto Lopes |
| author_sort |
Abdalla,Pedro Pugliesi |
| title |
Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study |
| title_short |
Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study |
| title_full |
Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study |
| title_fullStr |
Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study |
| title_full_unstemmed |
Cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in Brazil: a cross-sectional study |
| title_sort |
cut-off points of appendicular lean soft tissue for identifying sarcopenia in the older adults in brazil: a cross-sectional study |
| description |
Abstract Introduction: appropriate appendicular lean soft tissue (ALST) parameters to identify sarcopenia in Brazil are scarce. The use of international references may lead to a false positive diagnosis. The objective was to propose cut-off points to identify sarcopenia in older men and women using DXA-derived ALST values from a young adult population. Methods: this was an observational study with a cross-sectional analysis. University students of both sexes (n = 125), aged 20 to 30 years, underwent anthropometric measurements and DXA scanning to obtain their ALST (kg). Cut-off points for sarcopenia were set at -2 standard deviations (-2SDs) away from the mean ALST of a young sample. Absolute values and index (ALST/height2, ALST/weight, and ALST/body mass index [BMI]) were considered as recommended by international consensus. Results: compared to women, men presented higher values of weight, height, BMI, bone mineral content, lean soft tissue, ALST, and ALST index (kg/m²). Only fat mass was higher in women, and age was not different between genders. The -2SD ALST index obtained were ≤ 6.56 kg/m² for men and ≤ 4.67 kg/m² for women. They were below international and national values, which tended to classify false positives. Conclusions: the -2SD ALST values proposed here are validated cut-offs for identifying low muscle in older adults and to prevent misdiagnosis with sarcopenia. In addition, they contribute to efficient monitoring and control of this disease in geriatric populations. |
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2020 |
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http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112020000300012 |
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