Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly
Abstract Objectives: To examine the accuracy of waist circumference to predict two or more metabolic syndrome (MS) components among the elderly and to compare it with the recommendations of the Joint Interim Statement (JIS) for adults. Method: The study was conducted among participants of the base...
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| Format: | Article |
| Language: | English |
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Universidade Estadual do Rio de Janeiro (UERJ) , Universidade Aberta a Terceira Idade (UnAti)
2018-06-01
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| Series: | Revista Brasileira de Geriatria e Gerontologia |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232018000300367&tlng=en |
| _version_ | 1818753047990370304 |
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| author | Keila Bacelar Duarte de Morais Cibele Comini César Sérgio Viana Peixoto Maria Fernanda Lima-Costa |
| author_facet | Keila Bacelar Duarte de Morais Cibele Comini César Sérgio Viana Peixoto Maria Fernanda Lima-Costa |
| author_sort | Keila Bacelar Duarte de Morais |
| collection | DOAJ |
| description | Abstract Objectives: To examine the accuracy of waist circumference to predict two or more metabolic syndrome (MS) components among the elderly and to compare it with the recommendations of the Joint Interim Statement (JIS) for adults. Method: The study was conducted among participants of the baseline of the Bambuí (Minas Gerais) Cohort Study. The best waist circumference cut-off point for the outcome was determined by the Younden Index. The accuracy of such cut-off points was assessed by the area under the ROC curve (AUROC) and the sensitivity, specificity and positive and negative predictive values. Results: The prevalence of MS was 63.8% among women and 43.4% among men. Of these, the waist circumference cut-off that best predicted two or more components of MS (≥88 cm) was similar to that recommended by JIS (≥90 cm) (AUROC=0.673 and 0.672, respectively). Among women, the corresponding value was higher (≥92 cm) than recommended by the JIS (≥80 cm) (AUROC=0.605 and 0.560, respectively). Conclusion: The overall accuracy of waist circumference (AUROC) for the outcome was low for both genders, indicating that this measure is not an effective predictor of other components of MS in the study population. |
| first_indexed | 2024-12-18T05:01:09Z |
| format | Article |
| id | doaj.art-90a3cc687a464b17a9191af6c645a248 |
| institution | Directory Open Access Journal |
| issn | 1981-2256 |
| language | English |
| last_indexed | 2024-12-18T05:01:09Z |
| publishDate | 2018-06-01 |
| publisher | Universidade Estadual do Rio de Janeiro (UERJ) , Universidade Aberta a Terceira Idade (UnAti) |
| record_format | Article |
| series | Revista Brasileira de Geriatria e Gerontologia |
| spelling | doaj.art-90a3cc687a464b17a9191af6c645a2482022-12-21T21:20:09ZengUniversidade Estadual do Rio de Janeiro (UERJ) , Universidade Aberta a Terceira Idade (UnAti)Revista Brasileira de Geriatria e Gerontologia1981-22562018-06-0121336737110.1590/1981-22562018021.180058Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderlyKeila Bacelar Duarte de MoraisCibele Comini CésarSérgio Viana PeixotoMaria Fernanda Lima-CostaAbstract Objectives: To examine the accuracy of waist circumference to predict two or more metabolic syndrome (MS) components among the elderly and to compare it with the recommendations of the Joint Interim Statement (JIS) for adults. Method: The study was conducted among participants of the baseline of the Bambuí (Minas Gerais) Cohort Study. The best waist circumference cut-off point for the outcome was determined by the Younden Index. The accuracy of such cut-off points was assessed by the area under the ROC curve (AUROC) and the sensitivity, specificity and positive and negative predictive values. Results: The prevalence of MS was 63.8% among women and 43.4% among men. Of these, the waist circumference cut-off that best predicted two or more components of MS (≥88 cm) was similar to that recommended by JIS (≥90 cm) (AUROC=0.673 and 0.672, respectively). Among women, the corresponding value was higher (≥92 cm) than recommended by the JIS (≥80 cm) (AUROC=0.605 and 0.560, respectively). Conclusion: The overall accuracy of waist circumference (AUROC) for the outcome was low for both genders, indicating that this measure is not an effective predictor of other components of MS in the study population.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232018000300367&tlng=enWaist CircumferenceHealth of the ElderlyMetabolic SyndromeAccuracy |
| spellingShingle | Keila Bacelar Duarte de Morais Cibele Comini César Sérgio Viana Peixoto Maria Fernanda Lima-Costa Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly Revista Brasileira de Geriatria e Gerontologia Waist Circumference Health of the Elderly Metabolic Syndrome Accuracy |
| title | Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly |
| title_full | Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly |
| title_fullStr | Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly |
| title_full_unstemmed | Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly |
| title_short | Accuracy of waist circumference for predicting other components of metabolic syndrome: evidence from the Bambuí cohort study of the elderly |
| title_sort | accuracy of waist circumference for predicting other components of metabolic syndrome evidence from the bambui cohort study of the elderly |
| topic | Waist Circumference Health of the Elderly Metabolic Syndrome Accuracy |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232018000300367&tlng=en |
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