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Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation

Demographic and socio-economic (SE) factors are associated with modifiable, clinical factors and cardiovascular disease (CVDs). However, the inclusion of mediators in these relationships creates complex pathways which extend the roles of factors within the model. The traditional hierarchal logistic...

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Main Authors: Mirza Rizwan, Sajid, Noryanti, Muhammad, Roslinazairimah, Zakaria, Shahbaz, Ahmad, Nauman, Ahmad
Format: Article
Language:English
Published: PJSOR 2020
Subjects:
QA Mathematics
R Medicine (General)
Online Access:http://umpir.ump.edu.my/id/eprint/28878/1/Associated%20Factors%20of%20Cardiovascular%20Diseases%20in%20Pakistan.pdf
http://umpir.ump.edu.my/id/eprint/28878/
https://doi.org/10.18187/pjsor.v16i2.3075
https://doi.org/10.18187/pjsor.v16i2.3075
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spelling my.ump.umpir.288782020-07-28T02:04:33Z http://umpir.ump.edu.my/id/eprint/28878/ Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation Mirza Rizwan, Sajid Noryanti, Muhammad Roslinazairimah, Zakaria Shahbaz, Ahmad Nauman, Ahmad QA Mathematics R Medicine (General) Demographic and socio-economic (SE) factors are associated with modifiable, clinical factors and cardiovascular disease (CVDs). However, the inclusion of mediators in these relationships creates complex pathways which extend the roles of factors within the model. The traditional hierarchal logistic regression (HLR) is unable to estimate the transmittal effects of factors through different layers of factors of CVDs. The study aims to simultaneously estimate and validate the probable linear and non-linear relationships among factors of CVDs considering potential mediators. Four hundred sixty participants (312 males and 148 females) were selected through systematic sampling in this sex-matched case control (1:1 ratio) study conducted in the largest Cardiac Center of Pakistan. The information on demographic, SE, modifiable and clinical factors of CVDs was recorded. Warp partial least squares (PLS) based on warp 3 algorithm was used to estimate the simultaneous linear and non-linear path coefficients of the proposed model of study. The study found that demographic and SE factors played a significant role in shaping the modifiable factors which further transmit their impact to CVDs. However, this transmitted impact of modifiable factors on CVDs was mediated through metabolic syndrome abnormalities (MSA) except self-reported subjective stress (SSS). Sleep satisfaction and negative dietary habits were the mediators between the relationship of SSS and MSA. Physical activity is the strongest factor associated with CVDs status. The proposed path analyses, verifying the mediation role of MSA in the pathways of relationships which would help in identifying the risky group of population and guide in formulating the health promotion policies for the reduction of CVDs burden. Further, Warp 3 algorithm is the better option to estimate complex models containing linear and non-linear relationship in the same model. PJSOR 2020 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/28878/1/Associated%20Factors%20of%20Cardiovascular%20Diseases%20in%20Pakistan.pdf Mirza Rizwan, Sajid and Noryanti, Muhammad and Roslinazairimah, Zakaria and Shahbaz, Ahmad and Nauman, Ahmad (2020) Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation. Pakistan Journal of Statistics and Operation Research, 16 (2). pp. 265-277. ISSN 2220-5810 https://doi.org/10.18187/pjsor.v16i2.3075 https://doi.org/10.18187/pjsor.v16i2.3075
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
R Medicine (General)
spellingShingle QA Mathematics
R Medicine (General)
Mirza Rizwan, Sajid
Noryanti, Muhammad
Roslinazairimah, Zakaria
Shahbaz, Ahmad
Nauman, Ahmad
Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
description Demographic and socio-economic (SE) factors are associated with modifiable, clinical factors and cardiovascular disease (CVDs). However, the inclusion of mediators in these relationships creates complex pathways which extend the roles of factors within the model. The traditional hierarchal logistic regression (HLR) is unable to estimate the transmittal effects of factors through different layers of factors of CVDs. The study aims to simultaneously estimate and validate the probable linear and non-linear relationships among factors of CVDs considering potential mediators. Four hundred sixty participants (312 males and 148 females) were selected through systematic sampling in this sex-matched case control (1:1 ratio) study conducted in the largest Cardiac Center of Pakistan. The information on demographic, SE, modifiable and clinical factors of CVDs was recorded. Warp partial least squares (PLS) based on warp 3 algorithm was used to estimate the simultaneous linear and non-linear path coefficients of the proposed model of study. The study found that demographic and SE factors played a significant role in shaping the modifiable factors which further transmit their impact to CVDs. However, this transmitted impact of modifiable factors on CVDs was mediated through metabolic syndrome abnormalities (MSA) except self-reported subjective stress (SSS). Sleep satisfaction and negative dietary habits were the mediators between the relationship of SSS and MSA. Physical activity is the strongest factor associated with CVDs status. The proposed path analyses, verifying the mediation role of MSA in the pathways of relationships which would help in identifying the risky group of population and guide in formulating the health promotion policies for the reduction of CVDs burden. Further, Warp 3 algorithm is the better option to estimate complex models containing linear and non-linear relationship in the same model.
format Article
author Mirza Rizwan, Sajid
Noryanti, Muhammad
Roslinazairimah, Zakaria
Shahbaz, Ahmad
Nauman, Ahmad
author_facet Mirza Rizwan, Sajid
Noryanti, Muhammad
Roslinazairimah, Zakaria
Shahbaz, Ahmad
Nauman, Ahmad
author_sort Mirza Rizwan, Sajid
title Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
title_short Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
title_full Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
title_fullStr Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
title_full_unstemmed Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
title_sort associated factors of cardiovascular diseases in pakistan: assessment of path analyses using warp partial least squares estimation
publisher PJSOR
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/28878/1/Associated%20Factors%20of%20Cardiovascular%20Diseases%20in%20Pakistan.pdf
http://umpir.ump.edu.my/id/eprint/28878/
https://doi.org/10.18187/pjsor.v16i2.3075
https://doi.org/10.18187/pjsor.v16i2.3075
_version_ 1674066385273094144
score 13.211869

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