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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Format: | Article |
Language: | English |
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Wolters Kluwer Medknow Publications
2023-01-01
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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. |
first_indexed | 2024-03-12T22:12:47Z |
format | Article |
id | doaj.art-37cc5bfbc1a94843aba97346e7efc870 |
institution | Directory Open Access Journal |
issn | 2277-9531 |
language | English |
last_indexed | 2024-03-12T22:12:47Z |
publishDate | 2023-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Journal of Education and Health Promotion |
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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