Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.

<h4>Background</h4>Low back pain (LBP) is a public health problem. General health perception is the best predictor of healthcare utilization and mortality. Identifying predictors of health perception helps understand how people with LBP live, implement the appropriate treatment, and impr...

Full description

Saved in:
Bibliographic Details
Main Authors: Owis Eilayyan, Line Enjalbert-Auneau, Sara Ahmed
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0324101
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849719124808171520
author Owis Eilayyan
Line Enjalbert-Auneau
Sara Ahmed
author_facet Owis Eilayyan
Line Enjalbert-Auneau
Sara Ahmed
author_sort Owis Eilayyan
collection DOAJ
description <h4>Background</h4>Low back pain (LBP) is a public health problem. General health perception is the best predictor of healthcare utilization and mortality. Identifying predictors of health perception helps understand how people with LBP live, implement the appropriate treatment, and improve the quality of care.<h4>Objective</h4>This study aimed to estimate the relationships between pain intensity, psychological distress, self-efficacy, functional ability, and healthcare utilization among individuals with chronic LBP over a period of six-months and to estimate the impact of these relationships on general health perception.<h4>Methods</h4>This is a secondary analysis of data from a longitudinal study that assessed the health outcomes of individuals with chronic LBP. Structural equation modeling (SEM), based on health frameworks, was used to estimate the predictors of health perception among people with LBP at baseline and 6-months.<h4>Results</h4>314 individuals with LBP were included in the analysis. The final SEM model had good fit statistics and explained 48% of health perception variance at 6-months. The model showed that health perception was significantly affected by pain intensity (β = 0.29, β = 0.21), psychological distress (β = 0.51, β = 0.44) and self-efficacy (β = 0.4, β = 0.36) cross-sectionally and overtime, respectively.<h4>Conclusion</h4>Different health outcomes could affect the health perception among people with low back pain. This requires holistic approaches to treatment, involving self-management and cognitive behavioral therapy, as well as improved self-efficacy to improve their health.
format Article
id doaj-art-35f35529fc04472eba11ba12fb134c90
institution DOAJ
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-35f35529fc04472eba11ba12fb134c902025-08-20T03:12:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01205e032410110.1371/journal.pone.0324101Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.Owis EilayyanLine Enjalbert-AuneauSara Ahmed<h4>Background</h4>Low back pain (LBP) is a public health problem. General health perception is the best predictor of healthcare utilization and mortality. Identifying predictors of health perception helps understand how people with LBP live, implement the appropriate treatment, and improve the quality of care.<h4>Objective</h4>This study aimed to estimate the relationships between pain intensity, psychological distress, self-efficacy, functional ability, and healthcare utilization among individuals with chronic LBP over a period of six-months and to estimate the impact of these relationships on general health perception.<h4>Methods</h4>This is a secondary analysis of data from a longitudinal study that assessed the health outcomes of individuals with chronic LBP. Structural equation modeling (SEM), based on health frameworks, was used to estimate the predictors of health perception among people with LBP at baseline and 6-months.<h4>Results</h4>314 individuals with LBP were included in the analysis. The final SEM model had good fit statistics and explained 48% of health perception variance at 6-months. The model showed that health perception was significantly affected by pain intensity (β = 0.29, β = 0.21), psychological distress (β = 0.51, β = 0.44) and self-efficacy (β = 0.4, β = 0.36) cross-sectionally and overtime, respectively.<h4>Conclusion</h4>Different health outcomes could affect the health perception among people with low back pain. This requires holistic approaches to treatment, involving self-management and cognitive behavioral therapy, as well as improved self-efficacy to improve their health.https://doi.org/10.1371/journal.pone.0324101
spellingShingle Owis Eilayyan
Line Enjalbert-Auneau
Sara Ahmed
Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.
PLoS ONE
title Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.
title_full Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.
title_fullStr Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.
title_full_unstemmed Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.
title_short Determinants of general health perception among individuals with chronic low back pain overtime: structural equation modeling.
title_sort determinants of general health perception among individuals with chronic low back pain overtime structural equation modeling
url https://doi.org/10.1371/journal.pone.0324101
work_keys_str_mv AT owiseilayyan determinantsofgeneralhealthperceptionamongindividualswithchroniclowbackpainovertimestructuralequationmodeling
AT lineenjalbertauneau determinantsofgeneralhealthperceptionamongindividualswithchroniclowbackpainovertimestructuralequationmodeling
AT saraahmed determinantsofgeneralhealthperceptionamongindividualswithchroniclowbackpainovertimestructuralequationmodeling