Factors influencing quality of life among the elderly: An approach using logistic regression

BACKGROUND: Improving the physical, psychological, and social factors in the elderly significantly increases the QoL1 among them. This study aims to identify the crucial factors for predicting QoL among the elderly using statistical methods. MATERIALS AND METHODS: In this study, 980 samples relate...

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Main Authors: Maryam Ahmadi, Hadi Kazemi-Arpanahi, Raoof Nopour, Mostafa Shanbehzadeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2023-01-01
Series:Journal of Education and Health Promotion
Subjects:
Online Access:http://www.jehp.net/article.asp?issn=2277-9531;year=2023;volume=12;issue=1;spage=215;epage=215;aulast=
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author Maryam Ahmadi
Hadi Kazemi-Arpanahi
Raoof Nopour
Mostafa Shanbehzadeh
author_facet Maryam Ahmadi
Hadi Kazemi-Arpanahi
Raoof Nopour
Mostafa Shanbehzadeh
author_sort Maryam Ahmadi
collection DOAJ
description BACKGROUND: Improving the physical, psychological, and social factors in the elderly significantly increases the QoL1 among them. This study aims to identify the crucial factors for predicting QoL among the elderly using statistical methods. MATERIALS AND METHODS: In this study, 980 samples related to the elderly with favorable and unfavorable QoL were investigated. The elderly's QoL was investigated using a qualitative and self-assessment questionnaire that measured the QoL among them by five Likert spectrum and independent factors. The Chi-square test and eta coefficient were used to determine the relationship between each predicting factor of the elderly's QoL in SPSS V 25 software. Finally, we used the Enter and Forward LR methods to determine the correlation of influential factors in the presence of other variables. RESULTS: The study showed that 20 variables gained a significant relationship with the quality of life of the elderly at P < 0.05. The study results showed that the degree of dependence (P = 0.03), diabetes mellitus (P = 0.03), formal and informal social relationships (P = 0.01 and P = 0.02), ability to play an emotional role (P = 0.03), physical performance (P = 0.01), heart diseases and arterial blood pressure (P = 0.02), and cancer (P = 0.01) have favorable predictive power in predicting the QoL among the elderly. CONCLUSION: Attempts to identify and modify the important factors affecting the elderly's QoL have a significant role in improving the QoL and life satisfaction in this age group people. This study showed that the statistical methods have a pleasant capability to discover the factors associated with the elderly's QoL with high performance in this regard.
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spelling doaj.art-37cc5bfbc1a94843aba97346e7efc8702023-07-23T11:29:44ZengWolters Kluwer Medknow PublicationsJournal of Education and Health Promotion2277-95312023-01-0112121521510.4103/jehp.jehp_13_23Factors influencing quality of life among the elderly: An approach using logistic regressionMaryam AhmadiHadi Kazemi-ArpanahiRaoof NopourMostafa ShanbehzadehBACKGROUND: Improving the physical, psychological, and social factors in the elderly significantly increases the QoL1 among them. This study aims to identify the crucial factors for predicting QoL among the elderly using statistical methods. MATERIALS AND METHODS: In this study, 980 samples related to the elderly with favorable and unfavorable QoL were investigated. The elderly's QoL was investigated using a qualitative and self-assessment questionnaire that measured the QoL among them by five Likert spectrum and independent factors. The Chi-square test and eta coefficient were used to determine the relationship between each predicting factor of the elderly's QoL in SPSS V 25 software. Finally, we used the Enter and Forward LR methods to determine the correlation of influential factors in the presence of other variables. RESULTS: The study showed that 20 variables gained a significant relationship with the quality of life of the elderly at P < 0.05. The study results showed that the degree of dependence (P = 0.03), diabetes mellitus (P = 0.03), formal and informal social relationships (P = 0.01 and P = 0.02), ability to play an emotional role (P = 0.03), physical performance (P = 0.01), heart diseases and arterial blood pressure (P = 0.02), and cancer (P = 0.01) have favorable predictive power in predicting the QoL among the elderly. CONCLUSION: Attempts to identify and modify the important factors affecting the elderly's QoL have a significant role in improving the QoL and life satisfaction in this age group people. This study showed that the statistical methods have a pleasant capability to discover the factors associated with the elderly's QoL with high performance in this regard.http://www.jehp.net/article.asp?issn=2277-9531;year=2023;volume=12;issue=1;spage=215;epage=215;aulast=elderlyfactor analysisquality of lifestatistical regression
spellingShingle Maryam Ahmadi
Hadi Kazemi-Arpanahi
Raoof Nopour
Mostafa Shanbehzadeh
Factors influencing quality of life among the elderly: An approach using logistic regression
Journal of Education and Health Promotion
elderly
factor analysis
quality of life
statistical regression
title Factors influencing quality of life among the elderly: An approach using logistic regression
title_full Factors influencing quality of life among the elderly: An approach using logistic regression
title_fullStr Factors influencing quality of life among the elderly: An approach using logistic regression
title_full_unstemmed Factors influencing quality of life among the elderly: An approach using logistic regression
title_short Factors influencing quality of life among the elderly: An approach using logistic regression
title_sort factors influencing quality of life among the elderly an approach using logistic regression
topic elderly
factor analysis
quality of life
statistical regression
url http://www.jehp.net/article.asp?issn=2277-9531;year=2023;volume=12;issue=1;spage=215;epage=215;aulast=
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AT raoofnopour factorsinfluencingqualityoflifeamongtheelderlyanapproachusinglogisticregression
AT mostafashanbehzadeh factorsinfluencingqualityoflifeamongtheelderlyanapproachusinglogisticregression