# The Relationship Between Pain and Depression in Fibromyalgia: Structural Equation Modeling and Network Analysis

## TL;DR

This study explores how depression, fatigue, and pain interact in fibromyalgia, showing that depression is a central factor linking physical and psychological symptoms.

## Contribution

The study uses structural equation modeling and network analysis to reveal depression as a central node in fibromyalgia symptom interactions.

## Key findings

- Depression is a central and highly connected factor in the fibromyalgia symptom network.
- Fatigue mediates the relationship between depression and pain.
- Stress contributes to the overall symptom burden but is not a central node.

## Abstract

Public health relevance—How does this work relate to a public health issue?
Fibromyalgia contributes to disability, productivity loss, and healthcare utilization within the broader public health burden of chronic pain, particularly when comorbid depressive symptoms are present.This study investigates how depression, fatigue, stress, and core fibromyalgia domains structurally interact, providing insight into symptom configurations linked to functional impairment and service needs.

Fibromyalgia contributes to disability, productivity loss, and healthcare utilization within the broader public health burden of chronic pain, particularly when comorbid depressive symptoms are present.

This study investigates how depression, fatigue, stress, and core fibromyalgia domains structurally interact, providing insight into symptom configurations linked to functional impairment and service needs.

Public health significance—Why is this work of significance to public health?
By integrating structural equation modeling and network analysis, this study identifies depressive symptoms as a structurally prominent dimension bridging physical and psychological components of fibromyalgia.Clarifying the role of depression and fatigue within the fibromyalgia symptom architecture helps explain why comorbid depression is consistently associated with disability and increased healthcare demands in chronic pain populations.

By integrating structural equation modeling and network analysis, this study identifies depressive symptoms as a structurally prominent dimension bridging physical and psychological components of fibromyalgia.

Clarifying the role of depression and fatigue within the fibromyalgia symptom architecture helps explain why comorbid depression is consistently associated with disability and increased healthcare demands in chronic pain populations.

Public health implications—What are the key implications or messages for practitioners, policy makers and/or researchers in public health?
Systematic identification of depressive symptoms within fibromyalgia and chronic pain services may represent a clinically and organizationally relevant strategy for addressing high functional burden.Integrated and multidisciplinary care pathways that incorporate mental health assessment alongside pain and fatigue management are consistent with the observed symptom structure and may inform health-service planning in chronic pain management.

Systematic identification of depressive symptoms within fibromyalgia and chronic pain services may represent a clinically and organizationally relevant strategy for addressing high functional burden.

Integrated and multidisciplinary care pathways that incorporate mental health assessment alongside pain and fatigue management are consistent with the observed symptom structure and may inform health-service planning in chronic pain management.

Fibromyalgia (FM) is characterized by chronic pain, fatigue, and sleep disturbances, which often coexist with psychiatric symptoms, complicating its clinical profile. This study aims to investigate the relationships between FM components and psychopathological correlates, focusing on the central role of depression within the FM symptom network. A cross-sectional study was conducted on 50 outpatients diagnosed with FM according to the American College of Rheumatology 2016 criteria. Participants completed a comprehensive battery of validated assessment tools measuring FM components (pain, fatigue, and sleep disturbances), psychopathology (depression and anxiety), and stress-related dimensions. Structural equation modeling (SEM) and network analysis were used to explore the interplay between FM-related and psychological factors. The findings revealed a complex relationship between depression and pain in FM, with depression emerging as a central and highly connected factor within the symptom network, associated with both emotional and physical dysfunction. Fatigue was identified as a significant mediator between depression and pain, while stress, though not central, contributed to the overall symptom burden. These interactions underscore the multifaceted nature of FM, where psychological and physical symptoms are intricately interconnected through shared mechanisms. Systematic assessment of depressive symptoms may represent a clinically relevant target and a potential leverage point for integrated care pathways in chronic pain services.