The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study

Huiloo Won,1 Zahara Abdul Manaf,2 Arimi Fitri Mat Ludin,3 Mohd Azahadi Omar,4 Rosdinom Razali,5 Suzana Shahar2 1Nutrition Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 2Dietetics Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 3Biomedical Science Program,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Won H, Abdul Manaf Z, Mat Ludin AF, Omar MA, Razali R, Shahar S
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2017
Materias:	Body mass index (BMI) cut-off values mild cognitive impairment (MCI) older adults waist circumference (WC) Geriatrics RC952-954.6
Acceso en línea:	https://doaj.org/article/63328fc1503c4c8d8fe654d302a8eec9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:63328fc1503c4c8d8fe654d302a8eec9
record_format	dspace
spelling	oai:doaj.org-article:63328fc1503c4c8d8fe654d302a8eec92021-12-02T01:55:31ZThe cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study1178-1998https://doaj.org/article/63328fc1503c4c8d8fe654d302a8eec92017-02-01T00:00:00Zhttps://www.dovepress.com/the-cut-off-values-of-anthropometric-variables-for-predicting-mild-cog-peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Huiloo Won,1 Zahara Abdul Manaf,2 Arimi Fitri Mat Ludin,3 Mohd Azahadi Omar,4 Rosdinom Razali,5 Suzana Shahar2 1Nutrition Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 2Dietetics Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 3Biomedical Science Program, School of Diagnostic and Applied Health Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 4Centre for Burden of Disease Research, Institute for Public Health, Ministry of Health Malaysia, 5Department of Psychiatry, Faculty of Medicine, Hospital Canselor Tuanku Muhriz, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia Purpose: Older adults are at risk of mild cognitive impairment (MCI), and simple anthropometric measurements can be used to screen for this condition. Thus, the aim of this study was to explore the cut-off values of body mass index (BMI) and waist circumference (WC) for predicting the risk of MCI in older Malaysian adults.Methods: A total of 2,240 Malaysian older adults aged ≥60 years were recruited using multistage random sampling in a population based cross-sectional study. Receiver operating characteristic (ROC) curve was used to determine the cut-off values of BMI and WC with optimum sensitivity and specificity for the detection of MCI. Age, gender, years of education, smoking habit, alcohol consumption, depression, and medical conditions were used as confounding factors in this analysis.Results: A BMI cut-off value of 26 kg/m2 (area under the receiver operating characteristic curve [AUC] 0.725; sensitivity 90.5%; specificity 38.8%) was appropriate in identifying the risk of getting MCI in both men and women. The optimum WC cut-offs for likelihood of MCI were 90 cm (AUC 0.745; sensitivity 78.0%; specificity 59.8%) for men and 82 cm (AUC 0.714; sensitivity 84.3%; specificity 49.7%) for women. The optimum calf circumference (CC) cut-off values for identifying MCI were 29 cm (AUC 0.731; sensitivity 72.6%; specificity 61.1%) for men and 26 cm (AUC 0.598; sensitivity 79.1%; specificity 45.3%) for women.Conclusion: The cut-off values could be advocated and used as part of the screening of MCI among older Malaysian adults. There is a need to further determine the predictive values of these cut-off points on outcomes through longitudinal study design. Keywords: body mass index, BMI, cut-off values, MCI, older adults, waist circumference, WCWon HAbdul Manaf ZMat Ludin AFOmar MARazali RShahar SDove Medical PressarticleBody mass index (BMI)cut-off valuesmild cognitive impairment (MCI)older adultswaist circumference (WC)GeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 12, Pp 275-282 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Body mass index (BMI) cut-off values mild cognitive impairment (MCI) older adults waist circumference (WC) Geriatrics RC952-954.6
spellingShingle	Body mass index (BMI) cut-off values mild cognitive impairment (MCI) older adults waist circumference (WC) Geriatrics RC952-954.6 Won H Abdul Manaf Z Mat Ludin AF Omar MA Razali R Shahar S The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study
description	Huiloo Won,1 Zahara Abdul Manaf,2 Arimi Fitri Mat Ludin,3 Mohd Azahadi Omar,4 Rosdinom Razali,5 Suzana Shahar2 1Nutrition Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 2Dietetics Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 3Biomedical Science Program, School of Diagnostic and Applied Health Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 4Centre for Burden of Disease Research, Institute for Public Health, Ministry of Health Malaysia, 5Department of Psychiatry, Faculty of Medicine, Hospital Canselor Tuanku Muhriz, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia Purpose: Older adults are at risk of mild cognitive impairment (MCI), and simple anthropometric measurements can be used to screen for this condition. Thus, the aim of this study was to explore the cut-off values of body mass index (BMI) and waist circumference (WC) for predicting the risk of MCI in older Malaysian adults.Methods: A total of 2,240 Malaysian older adults aged ≥60 years were recruited using multistage random sampling in a population based cross-sectional study. Receiver operating characteristic (ROC) curve was used to determine the cut-off values of BMI and WC with optimum sensitivity and specificity for the detection of MCI. Age, gender, years of education, smoking habit, alcohol consumption, depression, and medical conditions were used as confounding factors in this analysis.Results: A BMI cut-off value of 26 kg/m2 (area under the receiver operating characteristic curve [AUC] 0.725; sensitivity 90.5%; specificity 38.8%) was appropriate in identifying the risk of getting MCI in both men and women. The optimum WC cut-offs for likelihood of MCI were 90 cm (AUC 0.745; sensitivity 78.0%; specificity 59.8%) for men and 82 cm (AUC 0.714; sensitivity 84.3%; specificity 49.7%) for women. The optimum calf circumference (CC) cut-off values for identifying MCI were 29 cm (AUC 0.731; sensitivity 72.6%; specificity 61.1%) for men and 26 cm (AUC 0.598; sensitivity 79.1%; specificity 45.3%) for women.Conclusion: The cut-off values could be advocated and used as part of the screening of MCI among older Malaysian adults. There is a need to further determine the predictive values of these cut-off points on outcomes through longitudinal study design. Keywords: body mass index, BMI, cut-off values, MCI, older adults, waist circumference, WC
format	article
author	Won H Abdul Manaf Z Mat Ludin AF Omar MA Razali R Shahar S
author_facet	Won H Abdul Manaf Z Mat Ludin AF Omar MA Razali R Shahar S
author_sort	Won H
title	The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study
title_short	The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study
title_full	The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study
title_fullStr	The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study
title_full_unstemmed	The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study
title_sort	cut-off values of anthropometric variables for predicting mild cognitive impairment in malaysian older adults: a large population based cross-sectional study
publisher	Dove Medical Press
publishDate	2017
url	https://doaj.org/article/63328fc1503c4c8d8fe654d302a8eec9
work_keys_str_mv	AT wonh thecutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT abdulmanafz thecutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT matludinaf thecutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT omarma thecutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT razalir thecutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT shahars thecutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT wonh cutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT abdulmanafz cutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT matludinaf cutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT omarma cutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT razalir cutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy AT shahars cutoffvaluesofanthropometricvariablesforpredictingmildcognitiveimpairmentinmalaysianolderadultsalargepopulationbasedcrosssectionalstudy
_version_	1718402780940468224

The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study

Ejemplares similares