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, Zahara Abdul Manaf, Arimi Fitri Mat Ludin, Mohd Azahadi Omar, Rosdinom Razali, Suzana Shahar

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)275-282
Number of pages8
JournalClinical Interventions in Aging
Volume12
DOIs
Publication statusPublished - 7 Feb 2017

Fingerprint

Cross-Sectional Studies
Area Under Curve
Waist Circumference
Population
Body Mass Index
ROC Curve
Cognitive Dysfunction
Alcohol Drinking
Statistical Factor Analysis
Habits
Longitudinal Studies
Smoking
Depression
Education
Sensitivity and Specificity

Keywords

  • BMI
  • Body mass index
  • Cut-off values
  • MCI
  • Older adults
  • Waist circumference
  • WC

ASJC Scopus subject areas

  • Geriatrics and Gerontology

Cite this

@article{ce97a092c5b342b29c0f157c0693d182,
title = "The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: A large population based cross-sectional study",
abstract = "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 = "BMI, Body mass index, Cut-off values, MCI, Older adults, Waist circumference, WC",
author = "Huiloo Won and {Abdul Manaf}, Zahara and {Mat Ludin}, {Arimi Fitri} and Omar, {Mohd Azahadi} and Rosdinom Razali and Suzana Shahar",
year = "2017",
month = "2",
day = "7",
doi = "10.2147/CIA.S118942",
language = "English",
volume = "12",
pages = "275--282",
journal = "Clinical Interventions in Aging",
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T1 - The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults

T2 - A large population based cross-sectional study

AU - Won, Huiloo

AU - Abdul Manaf, Zahara

AU - Mat Ludin, Arimi Fitri

AU - Omar, Mohd Azahadi

AU - Razali, Rosdinom

AU - Shahar, Suzana

PY - 2017/2/7

Y1 - 2017/2/7

N2 - 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.

AB - 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.

KW - BMI

KW - Body mass index

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KW - Older adults

KW - Waist circumference

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