Path modelling of antecedent of diabetes mellitus on blood glucose measurements

Humaira Abdul Latif, Mohd Rashid Ab Hamid, Nor Azlinna Azizan, Abdul Aziz Jemain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diabetes Mellitus (DM) is one of the non-communicable diseases and public health problems facing the worldwide population that includes Malaysia. Hitherto, the prevalence of DM becomes worsening with an estimated of 3.4 million Malaysians are diabetes sufferers and expectedly increasing year by year. Thus, this study is of great importance by regressing the medical factors that affect the blood glucose level using structural equation modelling (SEM). The SEM with partial least squares (PLS) estimation was applied to a secondary data of 644 respondents, aged ≥ 18 years in Malaysia. The data were collected in 2011 by Ministry of Health Malaysia (MOH). The variables under study are blood glucose level, cholesterol level (CL), systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC) and body mass index (BMI). From the modelling analysis, it showed that the cholesterol level (CL), systolic blood pressure (SBP) and waist circumference (WC) showed a positive significant relationship p < 0.01 (one-tailed) in influencing the blood sugar level. Whereas, diastolic blood pressure (DBP) is positively significant at p < 0.05 (one-tailed) and body mass index (BMI) is significant at p < 0.10 (one-tailed) towards blood glucose level. In conclusions, the findings from this study revealed the most salient predictors for blood glucose level which are CL, SBP and WC for diabetes mellitus among adults.

Original languageEnglish
Title of host publication3rd ISM International Statistical Conference 2016, ISM 2016
Subtitle of host publicationBringing Professionalism and Prestige in Statistics
PublisherAmerican Institute of Physics Inc.
Volume1842
ISBN (Electronic)9780735415126
DOIs
Publication statusPublished - 12 May 2017
Event3rd ISM International Statistical Conference 2016: Bringing Professionalism and Prestige in Statistics, ISM 2016 - Kuala Lumpur, Malaysia
Duration: 9 Aug 201611 Aug 2016

Other

Other3rd ISM International Statistical Conference 2016: Bringing Professionalism and Prestige in Statistics, ISM 2016
CountryMalaysia
CityKuala Lumpur
Period9/8/1611/8/16

Fingerprint

diabetes mellitus
glucose
blood
blood pressure
systolic pressure
Malaysia
circumferences
cholesterol
diastolic pressure
health
public health
sugars

Keywords

  • blood glucose level
  • diabetes mellitus
  • structural equation modelling (SEM)

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Latif, H. A., Hamid, M. R. A., Azizan, N. A., & Jemain, A. A. (2017). Path modelling of antecedent of diabetes mellitus on blood glucose measurements. In 3rd ISM International Statistical Conference 2016, ISM 2016: Bringing Professionalism and Prestige in Statistics (Vol. 1842). [020008] American Institute of Physics Inc.. https://doi.org/10.1063/1.4982838

Path modelling of antecedent of diabetes mellitus on blood glucose measurements. / Latif, Humaira Abdul; Hamid, Mohd Rashid Ab; Azizan, Nor Azlinna; Jemain, Abdul Aziz.

3rd ISM International Statistical Conference 2016, ISM 2016: Bringing Professionalism and Prestige in Statistics. Vol. 1842 American Institute of Physics Inc., 2017. 020008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Latif, HA, Hamid, MRA, Azizan, NA & Jemain, AA 2017, Path modelling of antecedent of diabetes mellitus on blood glucose measurements. in 3rd ISM International Statistical Conference 2016, ISM 2016: Bringing Professionalism and Prestige in Statistics. vol. 1842, 020008, American Institute of Physics Inc., 3rd ISM International Statistical Conference 2016: Bringing Professionalism and Prestige in Statistics, ISM 2016, Kuala Lumpur, Malaysia, 9/8/16. https://doi.org/10.1063/1.4982838
Latif HA, Hamid MRA, Azizan NA, Jemain AA. Path modelling of antecedent of diabetes mellitus on blood glucose measurements. In 3rd ISM International Statistical Conference 2016, ISM 2016: Bringing Professionalism and Prestige in Statistics. Vol. 1842. American Institute of Physics Inc. 2017. 020008 https://doi.org/10.1063/1.4982838
Latif, Humaira Abdul ; Hamid, Mohd Rashid Ab ; Azizan, Nor Azlinna ; Jemain, Abdul Aziz. / Path modelling of antecedent of diabetes mellitus on blood glucose measurements. 3rd ISM International Statistical Conference 2016, ISM 2016: Bringing Professionalism and Prestige in Statistics. Vol. 1842 American Institute of Physics Inc., 2017.
@inproceedings{94ed21334be543979688f7872302f95a,
title = "Path modelling of antecedent of diabetes mellitus on blood glucose measurements",
abstract = "Diabetes Mellitus (DM) is one of the non-communicable diseases and public health problems facing the worldwide population that includes Malaysia. Hitherto, the prevalence of DM becomes worsening with an estimated of 3.4 million Malaysians are diabetes sufferers and expectedly increasing year by year. Thus, this study is of great importance by regressing the medical factors that affect the blood glucose level using structural equation modelling (SEM). The SEM with partial least squares (PLS) estimation was applied to a secondary data of 644 respondents, aged ≥ 18 years in Malaysia. The data were collected in 2011 by Ministry of Health Malaysia (MOH). The variables under study are blood glucose level, cholesterol level (CL), systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC) and body mass index (BMI). From the modelling analysis, it showed that the cholesterol level (CL), systolic blood pressure (SBP) and waist circumference (WC) showed a positive significant relationship p < 0.01 (one-tailed) in influencing the blood sugar level. Whereas, diastolic blood pressure (DBP) is positively significant at p < 0.05 (one-tailed) and body mass index (BMI) is significant at p < 0.10 (one-tailed) towards blood glucose level. In conclusions, the findings from this study revealed the most salient predictors for blood glucose level which are CL, SBP and WC for diabetes mellitus among adults.",
keywords = "blood glucose level, diabetes mellitus, structural equation modelling (SEM)",
author = "Latif, {Humaira Abdul} and Hamid, {Mohd Rashid Ab} and Azizan, {Nor Azlinna} and Jemain, {Abdul Aziz}",
year = "2017",
month = "5",
day = "12",
doi = "10.1063/1.4982838",
language = "English",
volume = "1842",
booktitle = "3rd ISM International Statistical Conference 2016, ISM 2016",
publisher = "American Institute of Physics Inc.",

}

TY - GEN

T1 - Path modelling of antecedent of diabetes mellitus on blood glucose measurements

AU - Latif, Humaira Abdul

AU - Hamid, Mohd Rashid Ab

AU - Azizan, Nor Azlinna

AU - Jemain, Abdul Aziz

PY - 2017/5/12

Y1 - 2017/5/12

N2 - Diabetes Mellitus (DM) is one of the non-communicable diseases and public health problems facing the worldwide population that includes Malaysia. Hitherto, the prevalence of DM becomes worsening with an estimated of 3.4 million Malaysians are diabetes sufferers and expectedly increasing year by year. Thus, this study is of great importance by regressing the medical factors that affect the blood glucose level using structural equation modelling (SEM). The SEM with partial least squares (PLS) estimation was applied to a secondary data of 644 respondents, aged ≥ 18 years in Malaysia. The data were collected in 2011 by Ministry of Health Malaysia (MOH). The variables under study are blood glucose level, cholesterol level (CL), systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC) and body mass index (BMI). From the modelling analysis, it showed that the cholesterol level (CL), systolic blood pressure (SBP) and waist circumference (WC) showed a positive significant relationship p < 0.01 (one-tailed) in influencing the blood sugar level. Whereas, diastolic blood pressure (DBP) is positively significant at p < 0.05 (one-tailed) and body mass index (BMI) is significant at p < 0.10 (one-tailed) towards blood glucose level. In conclusions, the findings from this study revealed the most salient predictors for blood glucose level which are CL, SBP and WC for diabetes mellitus among adults.

AB - Diabetes Mellitus (DM) is one of the non-communicable diseases and public health problems facing the worldwide population that includes Malaysia. Hitherto, the prevalence of DM becomes worsening with an estimated of 3.4 million Malaysians are diabetes sufferers and expectedly increasing year by year. Thus, this study is of great importance by regressing the medical factors that affect the blood glucose level using structural equation modelling (SEM). The SEM with partial least squares (PLS) estimation was applied to a secondary data of 644 respondents, aged ≥ 18 years in Malaysia. The data were collected in 2011 by Ministry of Health Malaysia (MOH). The variables under study are blood glucose level, cholesterol level (CL), systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC) and body mass index (BMI). From the modelling analysis, it showed that the cholesterol level (CL), systolic blood pressure (SBP) and waist circumference (WC) showed a positive significant relationship p < 0.01 (one-tailed) in influencing the blood sugar level. Whereas, diastolic blood pressure (DBP) is positively significant at p < 0.05 (one-tailed) and body mass index (BMI) is significant at p < 0.10 (one-tailed) towards blood glucose level. In conclusions, the findings from this study revealed the most salient predictors for blood glucose level which are CL, SBP and WC for diabetes mellitus among adults.

KW - blood glucose level

KW - diabetes mellitus

KW - structural equation modelling (SEM)

UR - http://www.scopus.com/inward/record.url?scp=85019661924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019661924&partnerID=8YFLogxK

U2 - 10.1063/1.4982838

DO - 10.1063/1.4982838

M3 - Conference contribution

VL - 1842

BT - 3rd ISM International Statistical Conference 2016, ISM 2016

PB - American Institute of Physics Inc.

ER -