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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1745951</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Relationship between pain, functionality, and body composition in patients with fibromyalgia: cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>&#x00DA;beda-D&#x2019;Ocasar</surname>
<given-names>Edurne</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Mayoral-Gonzalo</surname>
<given-names>Noem&#x00ED;</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name>
<surname>Pedauy&#x00E9;-Rueda</surname>
<given-names>Blanca</given-names>
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<name>
<surname>Daguerre-Garrido</surname>
<given-names>Ariadna</given-names>
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<contrib contrib-type="author">
<name>
<surname>Ojedo-Mart&#x00ED;n</surname>
<given-names>Cristina</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Fern&#x00E1;ndez-Ace&#x00F1;ero</surname>
<given-names>Mar&#x00ED;a Jes&#x00FA;s</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<surname>Herv&#x00E1;s-P&#x00E9;rez</surname>
<given-names>Juan Pablo</given-names>
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<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<surname>Cimadevilla-Fern&#x00E1;ndez-Pola</surname>
<given-names>Eduardo</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Physiotherapy and Health Research Group (FYSA), Faculty of Health Sciences-HM Hospitals, University Camilo Jos&#x00E9; Cela Urb</institution>, <city>Madrid</city>, <country country="es">Spain</country></aff>
<aff id="aff2"><label>2</label><institution>Insituto de Investigaci&#x00F3;n Sanitaria HM Hospitales</institution>, <city>Madrid</city>, <country country="es">Spain</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Legal Medicine, Psychiatry and Surgical Pathology, Complutense University of Madrid</institution>, <city>Madrid</city>, <country country="es">Spain</country></aff>
<aff id="aff4"><label>4</label><institution>San Carlos Clinical Research Foundation (IDiSCC), San Carlos Clinical Hospital</institution>, <city>Madrid</city>, <country country="es">Spain</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Chemistry in Pharmaceutical Sciences, Analytical Chemistry Unit, Faculty of Pharmacy, Complutense University of Madrid</institution>, <city>Madrid</city>, <country country="es">Spain</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Surgical Pathology, Hospital Cl&#x00ED;nico San Carlos</institution>, <city>Madrid</city>, <country country="es">Spain</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Eduardo Cimadevilla-Fern&#x00E1;ndez-Pola, <email xlink:href="mailto:ecimadevilla@ucjc.edu">ecimadevilla@ucjc.edu</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-12">
<day>12</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1745951</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>18</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 &#x00DA;beda-D&#x2019;Ocasar, Mayoral-Gonzalo, Pedauy&#x00E9;-Rueda, Daguerre-Garrido, Ojedo-Mart&#x00ED;n, Fern&#x00E1;ndez-Ace&#x00F1;ero, Herv&#x00E1;s-P&#x00E9;rez and Cimadevilla-Fern&#x00E1;ndez-Pola.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>&#x00DA;beda-D&#x2019;Ocasar, Mayoral-Gonzalo, Pedauy&#x00E9;-Rueda, Daguerre-Garrido, Ojedo-Mart&#x00ED;n, Fern&#x00E1;ndez-Ace&#x00F1;ero, Herv&#x00E1;s-P&#x00E9;rez and Cimadevilla-Fern&#x00E1;ndez-Pola</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Fibromyalgia (FM) is a chronic disorder characterised by widespread pain, central sensitisation, and significant psychosocial burden. Patients often present impaired functional capacity, heightened pain perception, and high rates of anxiety and depression. However, the interplay among physical function, psychological distress, and body composition remains insufficiently clarified.</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>This cross-sectional study included 80 women with clinically diagnosed FM, aged 18&#x2013;75&#x202F;years, recruited from the Afinsyfacro Association (Madrid, Spain). Assessments comprised sociodemographic and clinical variables, functional tests [5-Sit-to-Stand test (5-STST), handgrip strength (HGS), Timed Up and Go (TUG), and 4-m gait speed], algometry, bioimpedance, and validated questionnaires (FIQ, HADS, PSQI, VAS). Correlations between pain, fibromyalgia impact, psychological symptoms, physical performance, and body composition were analysed using Pearson&#x2019;s or Spearman&#x2019;s coefficients, as appropriate.</p>
</sec>
<sec>
<title>Results</title>
<p>Participants reported severe pain (VAS&#x202F;=&#x202F;7.03&#x202F;&#x00B1;&#x202F;1.94) and a high disease impact (FIQ&#x202F;=&#x202F;65.27&#x202F;&#x00B1;&#x202F;16.07). The scores obtained on the HADS-A and HADS-D questionnaires were 12.65&#x202F;&#x00B1;&#x202F;4.56 and 9.93&#x202F;&#x00B1;&#x202F;4.56, respectively. Moderate correlations were observed between depression and both the 5-STST (r&#x202F;=&#x202F;0.325, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and TUG (r&#x202F;=&#x202F;0.346, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), while fibromyalgia impact correlated with all functional measures except HGS. Pain correlated with both anxiety (<italic>r</italic>&#x202F;=&#x202F;0.477, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and depression (<italic>r</italic>&#x202F;=&#x202F;0.430, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). No significant associations were found between body composition variables and FM impact or pain. The overall fit was significant, <italic>F</italic>(4, 63)&#x202F;=&#x202F;23.169, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001. Pain (VAS) and depressive symptoms (HADS-depression) contributed independently to higher FIQ.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Effective management of FM requires a multidisciplinary approach integrating therapeutic exercise, pain management, psychological support, and strategies to optimise body composition and overall health. This holistic perspective may reduce symptom burden and improve quality of life in affected individuals.</p>
</sec>
</abstract>
<kwd-group>
<kwd>fibromyalgia</kwd>
<kwd>physical functionality</kwd>
<kwd>chronic pain</kwd>
<kwd>body composition</kwd>
<kwd>anxiety and depression</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research received external funding for the FIBYSAR project of Camilo Jose Cela University.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="8"/>
<word-count count="5980"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Rheumatology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Fibromyalgia (FM) is a chronic syndrome characterised by widespread musculoskeletal pain, frequently accompanied by fatigue, sleep disturbances, cognitive impairment, and memory deficits (<xref ref-type="bibr" rid="ref1">1</xref>). In Spain, FM affects approximately 2&#x2013;4% of the population and constitutes the leading cause of chronic widespread musculoskeletal pain, with women disproportionately affected (<xref ref-type="bibr" rid="ref2">2</xref>). Despite advances in research and refinement of diagnostic criteria, its incidence continues to rise, underscoring the magnitude of the condition as a persistent health challenge (<xref ref-type="bibr" rid="ref3">3</xref>). Given its high prevalence and the substantial work absenteeism it generates, FM represents a pressing public health concern (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>The aetiology of FM remains largely unknown, which poses significant challenges for both accurate diagnosis and the development of effective therapeutic strategies (<xref ref-type="bibr" rid="ref5">5</xref>). Current management typically involves a combination of pharmacological and non-pharmacological interventions, with the latter gaining increasing importance due to their potential to improve quality of life and alleviate pain while avoiding the adverse effects commonly associated with pharmacotherapy (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>Mounting evidence suggests that FM is underpinned by alterations in central pain processing. Functional neuroimaging studies have demonstrated abnormal connectivity patterns, including increased coupling between somatosensory regions and pain-related cortical areas, alongside reduced functional integration within descending inhibitory networks. These disruptions contribute to augmented pain sensitivity and a diminished capacity to modulate nociceptive input, thereby perpetuating chronic pain (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>In addition to central mechanisms, peripheral factors such as body mass index (BMI) and body fat distribution have been increasingly recognised as relevant modulators of symptom severity in FM (<xref ref-type="bibr" rid="ref9">9</xref>). Another peripheral mechanism related to the development of FM is small fibre pathology, which affects approximately 50% of people with FM (<xref ref-type="bibr" rid="ref10">10</xref>). Recent evidence indicates that obesity can act as a peripheral disruptor of cortical inhibitory mechanisms, thereby exacerbating clinical manifestations including pain, fatigue and depressive symptoms (<xref ref-type="bibr" rid="ref11">11</xref>). Moreover, the prevalence of overweight and obesity among people with FM is substantially higher than in the general population, and these conditions are associated with greater tender-point sensitivity, heightened pain perception and poorer physical function (<xref ref-type="bibr" rid="ref12">12</xref>). Central adiposity and reduced skeletal muscle mass may further compromise mobility and attenuate treatment response. In addition, obesity and higher BMI have been linked to impaired cognitive performance, which may further increase the disease burden in FM patient (<xref ref-type="bibr" rid="ref13">13</xref>). Taken together, these findings underscore the importance of assessing BMI and body composition in FM patients to better characterise their contribution to disease severity and to inform more personalised management strategies.</p>
<p>The assessment of FM remains challenging due to its heterogeneous clinical presentation, reliance on subjective symptoms, and the absence of specific biomarkers (<xref ref-type="bibr" rid="ref14">14</xref>). Furthermore, frequent psychiatric comorbidities, particularly anxiety and depression, exert a significant influence on pain perception and functional outcomes (<xref ref-type="bibr" rid="ref15">15</xref>). As most assessment tools rely heavily on self-report measures, integrating both subjective and objective parameters is essential for achieving a more accurate and personalised evaluation, thereby facilitating improved diagnostic precision and more effective therapeutic planning (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>The primary objective of the present study is to investigate the relationship between pain, physical capacity and body composition in patients with FM. A secondary objective is to explore the impact of FM on psychological wellbeing, with particular emphasis on anxiety and depression.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Participants</title>
<p>The study sample comprised 80 patients diagnosed with FFM according to the 2026 American College of Rheumatology (ACR) criteria. Participants were between 18 and 75&#x202F;years old, and were members of the Afinsyfacro Association in M&#x00F3;stoles R (Madrid, Spain). All individuals who met the inclusion criteria and voluntarily agreed to participate were enrolled. The research was conducted between 31 October 2024 and 3 May 2025.</p>
<p>The inclusion criteria were as follows: (a) adults (men or women) with a confirmed medical diagnosis of FM; (b) aged between 18 and 75&#x202F;years; (c) sufficient cognitive ability and comprehension to complete the self-administered questionnaires (<xref ref-type="fig" rid="fig1">Figures 1</xref>, <xref ref-type="fig" rid="fig2">2</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Correlation between depression and the impact of fibromyalgia.</p>
</caption>
<graphic xlink:href="fmed-12-1745951-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plot showing a positive correlation between HADS depression scores on the x-axis and FIQ scores on the y-axis, with data points distributed between 20 to 100 on the FIQ scale and 0 to 20 on the HADS scale.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Correlation between anxiety and the impact of fibromyalgia.</p>
</caption>
<graphic xlink:href="fmed-12-1745951-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between HADS anxiety scores (x-axis) and FIQ scores (y-axis). Data points are scattered, indicating a positive correlation, with higher HADS anxiety generally associated with higher FIQ scores.</alt-text>
</graphic>
</fig>
<p>The exclusion criteria were: (i) the presence of other rheumatic or neuromuscular disorders that could interfere with assessment (e.g., rheumatoid arthritis, systemic lupus erythematosus, multiple sclerosis, myopathies); (ii) inability to perform functional assessments; (iii) pregnancy at the time of the study; (iv) recent surgical procedures or traumatic injuries (within the preceding 6&#x202F;months) that could impair mobility or alter physical functioning; (v) neurological conditions affecting mobility and pain perception (e.g., stroke, multiple sclerosis, Parkinson&#x2019;s disease, peripheral neuropathies); (vi) metabolic disorders with potential influence on body composition; (vii) current use of pharmacological treatments that could substantially affect neuromuscular function or pain perception.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Measurements</title>
<p>Sociodemographic data collected encompassed age, sex, marital status, educational attainment, employment status, menstrual status, smoking habits, alcohol consumption, and level of physical activity. In addition, clinical variables including body mass index (BMI), presence of comorbidities, use of analgesic and other regular medications, as well as symptoms of anxiety and depression, were recorded.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Functional tests</title>
<p>Five-Sit-to-Stand test (5-STST): Participants commenced seated on a standardised chair (46&#x202F;cm in height) with feet flat on the floor and arms crossed over the chest. They were instructed to stand fully and sit down five times consecutively as quickly as possible without using their arms. Timing began at the &#x201C;go&#x201D; signal and ceased upon completion of the fifth repetition (<xref ref-type="bibr" rid="ref16">16</xref>). The 5-STST assesses lower-limb functional strength and has demonstrated good reliability (ICC&#x202F;=&#x202F;0.81) (<xref ref-type="bibr" rid="ref17">17</xref>). Clinically, it provides a simple and practical measure of lower-limb function and balance, which are often impaired in women with FM, reflecting both strength and fatigue levels.</p>
<p>Handgrip strength (HGS): Upper-limb muscle strength was measured in accordance with recommendations from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases [ESCEO (<xref ref-type="bibr" rid="ref16">16</xref>)]. Participants were seated with arms resting on the armrests, holding a digital dynamometer (Saehan DHD-1) with the elbow flexed at 90&#x00B0;, wrist positioned in 0&#x2013;30&#x00B0; dorsiflexion and 0&#x2013;15&#x00B0; ulnar deviation. Three maximal efforts of 5 s each were performed with the dominant hand, interspersed with 30-s rest intervals. The mean of the three trials was used for analysis. This test is both valid and highly reliable (ICC&#x202F;=&#x202F;0.95) (<xref ref-type="bibr" rid="ref18">18</xref>). HGS provides an objective indicator of overall upper-limb strength and functional capacity, which is clinically relevant for evaluating daily living activities in women with fibromyalgia.</p>
<p>Timed Up and Go (TUG): This fundamental functional mobility test required participants to rise from a 46&#x202F;cm chair, walk 3&#x202F;m, turn around a cone, return to the chair, and sit down. Two trials were conducted, with sufficient rest between attempts to allow physiological parameters to return to baseline. The mean of both trials was calculated for analysis. The TUG test is valid and reliable for women with fibromyalgia (ICC&#x202F;=&#x202F;0.93) (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Clinically, it is widely used to assess mobility, dynamic balance, and fall risk, which are commonly compromised in this population.</p>
<p>4-FFM: Gait speed was assessed using the 4-metre walk test, which exhibits high reliability (ICC&#x202F;=&#x202F;0.89&#x2013;0.99) (<xref ref-type="bibr" rid="ref21">21</xref>). Following ESCEO guidelines, participants were instructed to walk 4&#x202F;m &#x201C;as fast as possible&#x201D; after the cue &#x201C;Ready, go.&#x201D; Time in seconds was recorded, and the fastest of two trials was used for analysis (<xref ref-type="bibr" rid="ref16">16</xref>). This test provides a practical and sensitive measure of walking ability and functional performance, which are frequently reduced in women with FM due to pain, fatigue, and impaired muscle function.</p>
<p>Fibromyalgia Impact Questionnaire (FIQ): The Spanish version of this multidimensional questionnaire was used to assess the impact of FM on functional capacity and quality of life. Scores range from 0 (best condition) to 100 (worst condition) (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). The FIQ is a reliable measure of disease burden, capturing physical, emotional, and social aspects.</p>
<p>Pain: Pain intensity was evaluated using a Visual Analogue Scale (VAS), a 10&#x202F;cm line on which participants indicated their perceived pain intensity (<xref ref-type="bibr" rid="ref24">24</xref>). This widely used tool provides a direct and quantifiable measure of subjective pain experience.</p>
<p>Algometry: Pain sensitisation was assessed with an analogue algometer (Fischer FPK 20) applied to specific tender points (bilateral epicondyle, inner knee, and trochanter). Three measurements were taken at &#x2265;30-s intervals, and the mean value was calculated (<xref ref-type="bibr" rid="ref25">25</xref>). Algometry allows objective quantification of mechanical pain sensitivity, a hallmark feature of FM.</p>
<p>Circumference measurements: Hip, trochanter, and waist circumferences (at the level of the umbilicus) were measured using a standard tape measure, providing anthropometric data relevant to body composition and central adiposity.</p>
<p>Body composition analysis: Weight and composition were assessed using direct segmental multifrequency bioelectrical impedance analysis (InBody<sup>&#x00AE;</sup> 770, Bilbao, Spain), applying six frequencies (1, 5, 50, 250, 500, and 1,000&#x202F;kHz). This technique provides accurate estimates of fat mass, lean mass, and segmental distribution, important for evaluating physical health in women with FM.</p>
<p>Anxiety and depression: Symptoms were measured using the Hospital Anxiety and Depression Scale (HADS-A/HADS-D), comprising 14 items divided into two subscales of seven items each. Scores range from 0 to 7 (normal), 8 to 10 (borderline), and 11 to 21 (clinical case) (<xref ref-type="bibr" rid="ref15">15</xref>). The HADS is validated for chronic pain populations and serves as screening tool for identifying clinically significant mood disorders.</p>
<p>Sleep quality: Sleep was evaluated using the Pittsburgh Sleep Quality Index (PSQI), a 19-item self-report questionnaire. Scores range from 0 to 21, with higher scores indicating poorer sleep quality. Seven components (0&#x2013;3 each) are summed to produce a global score (<xref ref-type="bibr" rid="ref26">26</xref>). The PSQI is clinically relevant as sleep disturbances are highly prevalent in women with FM and significantly impact daily functioning and quality of life.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Ethical issues</title>
<p>The study protocol was reviewed and approved by the Ethics Committee of Hospital Cl&#x00ED;nico San Carlos (approval number 24/745-EC_X) and was registered on <ext-link xlink:href="https://clinicaltrials.gov/" ext-link-type="uri">https://clinicaltrials.gov/</ext-link> under the identifier NCT06253273.</p>
<p>The research was conducted in accordance with Spanish legislation, including Law 41/2002, which governs patient autonomy, rights, and obligations regarding clinical information and documentation, and Organic Law 3/2018 on Personal Data Protection and Digital Rights. These regulations restrict the processing of sensitive personal data, such as ethnic origin, political or religious beliefs, union membership, biometric identifiers, health information, or sexual orientation.</p>
<p>All procedures adhered to the principles outlined in the 2014 Declaration of Helsinki of the World Medical Association concerning medical research involving human subjects. Participants&#x2019; privacy and confidentiality were rigorously protected, and written informed consent was obtained from all participants; documentation is securely held by the corresponding author.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Data were analysed using SPSS software, version 29.0. Categorical variables are presented as frequencies and percentages, while continuous variables are reported as mean &#x00B1; standard deviation (SD). The normality of continuous variables was assessed using the Kolmogorov&#x2013;Smirnov test. Homogeneity of variances was evaluated prior to performing parametric tests.</p>
<p>Associations between variables were examined using Spearman&#x2019;s rho for non-parametric data and Pearson&#x2019;s correlation coefficient for parametric data. Where appropriate, multiple comparisons were adjusted to control for Type I error. Statistical significance was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. Outliers were identified and examined for plausibility; extreme values were retained only if they reflected valid measurements. All analyses were conducted according to standard assumptions for the selected statistical tests, ensuring robustness and reproducibility of the results. A multiple linear regression model will be used to analyze the relationship between the variable of interest, FIQ, and the other variables in the study.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<label>3</label>
<title>Results</title>
<p>The mean age of participants was 54.06&#x202F;&#x00B1;&#x202F;9.66&#x202F;years. Sociodemographic characteristics of the study sample are summarised in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sociodemographic characteristics of participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Mean&#x202F;&#x00B1;&#x202F;SD/%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">54.06&#x202F;&#x00B1;&#x202F;9.66</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td align="center" valign="top">27.47&#x202F;&#x00B1;&#x202F;5.66</td>
</tr>
<tr>
<td align="left" valign="top">Marital status (a&#x2013;d)</td>
<td align="center" valign="top">56.3%; 22.5%; 20.0%; 1.3%</td>
</tr>
<tr>
<td align="left" valign="top">Employment status (e&#x2013;j)</td>
<td align="center" valign="top">22,8; 26,6; 12.7%; 19.0%; 5.1%; 13.9%</td>
</tr>
<tr>
<td align="left" valign="top">Menstrual status (k&#x2013;n)</td>
<td align="center" valign="top">22.5%; 20.0%; 53.8%; 3.8%</td>
</tr>
<tr>
<td align="left" valign="top">Smoking (o, p)</td>
<td align="center" valign="top">20.2%; 78.8%</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol (q&#x2013;s)</td>
<td align="center" valign="top">1.3%; 36.3%; 61.3%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>a, married; b, separated; c, single; d, widowed; e, unemployed; f, full-time employed; g, part-time employed; h, retired; i, permanent disability; j, on sick leave; k, menstruating; l, I am not a women, I am a women who does not.</p>
</table-wrap-foot>
</table-wrap>
<p>Descriptive results regarding functionality, pain sensitivity, and body composition are presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Descriptive analysis of functionality, pain sensitivity and body composition.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Mean &#x00B1; SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Handgrip strength (kg)</td>
<td align="center" valign="middle">21.17&#x202F;&#x00B1;&#x202F;8.49</td>
</tr>
<tr>
<td align="left" valign="middle">5-STST (s)</td>
<td align="center" valign="middle">12.83&#x202F;&#x00B1;&#x202F;5.70</td>
</tr>
<tr>
<td align="left" valign="middle">4-m walk test (s)</td>
<td align="center" valign="middle">1.01&#x202F;&#x00B1;&#x202F;0.56</td>
</tr>
<tr>
<td align="left" valign="middle">TUG (s)</td>
<td align="center" valign="middle">9.72&#x202F;&#x00B1;&#x202F;7.10</td>
</tr>
<tr>
<td align="left" valign="middle">FIQ (0&#x2013;100)</td>
<td align="center" valign="middle">65.27&#x202F;&#x00B1;&#x202F;16.07</td>
</tr>
<tr>
<td align="left" valign="middle">PSQI (0&#x2013;21)</td>
<td align="center" valign="middle">14.88&#x202F;&#x00B1;&#x202F;4.29</td>
</tr>
<tr>
<td align="left" valign="top">HADS-anxiety (0&#x2013;21)</td>
<td align="center" valign="top">12.65&#x202F;&#x00B1;&#x202F;4.56</td>
</tr>
<tr>
<td align="left" valign="top">HADS-depression (0&#x2013;21)</td>
<td align="center" valign="top">9.93&#x202F;&#x00B1;&#x202F;4.56</td>
</tr>
<tr>
<td align="left" valign="middle">VAS (0&#x2013;10)</td>
<td align="center" valign="middle">7.03&#x202F;&#x00B1;&#x202F;1.94</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Algometry (kg/cm<sup>2</sup>)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2003;Epicondyle (left)</td>
<td align="center" valign="middle">1.70&#x202F;&#x00B1;&#x202F;0.70</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2003;Epicondyle (right)</td>
<td align="center" valign="middle">1.70&#x202F;&#x00B1;&#x202F;0.75</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2003;Trochanter (left)</td>
<td align="center" valign="middle">1.99&#x202F;&#x00B1;&#x202F;0.93</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2003;Trochanter (right)</td>
<td align="center" valign="middle">1.90&#x202F;&#x00B1;&#x202F;0.94</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2003;Knee (left)</td>
<td align="center" valign="middle">1.86&#x202F;&#x00B1;&#x202F;0.92</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2003;Knee (right)</td>
<td align="center" valign="middle">1.88&#x202F;&#x00B1;&#x202F;0.86</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">27.47&#x202F;&#x00B1;&#x202F;5.66</td>
</tr>
<tr>
<td align="left" valign="top">TBW (kg)</td>
<td align="center" valign="top">32.56&#x202F;&#x00B1;&#x202F;4.89</td>
</tr>
<tr>
<td align="left" valign="top">Protein (kg)</td>
<td align="center" valign="top">8.64&#x202F;&#x00B1;&#x202F;1.31</td>
</tr>
<tr>
<td align="left" valign="top">FBM (kg)</td>
<td align="center" valign="top">27.49&#x202F;&#x00B1;&#x202F;11.32</td>
</tr>
<tr>
<td align="left" valign="top">FFM (kg)</td>
<td align="center" valign="top">44.37&#x202F;&#x00B1;&#x202F;6.65</td>
</tr>
<tr>
<td align="left" valign="top">SMM (kg)</td>
<td align="center" valign="top">24.08&#x202F;&#x00B1;&#x202F;3.96</td>
</tr>
<tr>
<td align="left" valign="top">PBF (%)</td>
<td align="center" valign="top">37.02&#x202F;&#x00B1;&#x202F;8.34</td>
</tr>
<tr>
<td align="left" valign="top">WHR</td>
<td align="center" valign="top">0.95&#x202F;&#x00B1;&#x202F;0.07</td>
</tr>
<tr>
<td align="left" valign="top">VFL</td>
<td align="center" valign="top">13.02&#x202F;&#x00B1;&#x202F;5.07</td>
</tr>
<tr>
<td align="left" valign="top">Hip circumference (cm)</td>
<td align="center" valign="top">105.69&#x202F;&#x00B1;&#x202F;12.38</td>
</tr>
<tr>
<td align="left" valign="top">Trochanter circumference (cm)</td>
<td align="center" valign="top">53.38&#x202F;&#x00B1;&#x202F;7.31</td>
</tr>
<tr>
<td align="left" valign="top">Waist circumference (cm)</td>
<td align="center" valign="top">92.15&#x202F;&#x00B1;&#x202F;13.45</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>5-STST, 5-Sit-to-Stand test; TUG, Time Up Go; FIQ, Fibromyalgia Impact Questionnaire; HADS, Hospital Anxiety and Depression Scale; VAS, Visual Analogue Scale; BMI, body mass index; TBW, total body water; SMM, skeletal muscle mass; PBF, percentage body fat; FBM, fat body mass; FFM, fat free mass; ant leg; WHR, waist-hip ratio; VFL, visceral fat level.</p>
</table-wrap-foot>
</table-wrap>
<p>The mean age of participants was 54.06&#x202F;&#x00B1;&#x202F;9.66&#x202F;years, with the majority being women (96.3%). The mean BMI was 27.47&#x202F;&#x00B1;&#x202F;5.66&#x202F;kg/m<sup>2</sup>. Most participants were married (56.3%), while 22.5% were separated, 20.0% single, and 1.3% widowed. In terms of employment status, 49.4% were unemployed or on sick leave, and 31.7% were employed. Regarding menstrual status, 53.8% were menopausal, 22.5% menstruating, 20.0% non-menstruating women, and 3.8% men. One in five participants were smokers, while most reported no alcohol intake.</p>
<p>Functional performance was impaired across all tests: mean handgrip strength was 21.17&#x202F;&#x00B1;&#x202F;8.49&#x202F;kg, 5-STST averaged 12.83&#x202F;&#x00B1;&#x202F;5.70&#x202F;s, TUG 9.72&#x202F;&#x00B1;&#x202F;7.10&#x202F;s, and gait speed 1.01&#x202F;&#x00B1;&#x202F;0.56&#x202F;s. The FIQ score (65.27&#x202F;&#x00B1;&#x202F;16.07) reflected a high disease burden, while PSQI scores (14.88&#x202F;&#x00B1;&#x202F;4.29) indicated poor sleep quality. Anxiety and depression levels were elevated (HADS-A: 12.65&#x202F;&#x00B1;&#x202F;4.56; HADS-D: 9.93&#x202F;&#x00B1;&#x202F;4.56).</p>
<p>Pain intensity was high (VAS: 7.03&#x202F;&#x00B1;&#x202F;1.94), with pressure pain thresholds below 2.0&#x202F;kg/cm<sup>2</sup> at all tender points. Body composition analysis showed increased adiposity (PBF: 37.02&#x202F;&#x00B1;&#x202F;8.34%; VFL: 13.02&#x202F;&#x00B1;&#x202F;5.07) and reduced lean mass (SMM: 24.08&#x202F;&#x00B1;&#x202F;3.96&#x202F;kg).</p>
<p>Moderate positive correlations were observed between pain and psychological symptoms: FIQ scores correlated with both depression (<italic>r</italic>&#x202F;=&#x202F;0.430, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) and anxiety (<italic>r</italic>&#x202F;=&#x202F;0.477, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), emphasising the strong association between pain and psychological distress in FM.</p>
<p>With respect to the relationship between functional capacity and psychological or clinical outcomes, moderate correlations were observed between performance on physical tests and levels of depression, as well as the overall impact of FM. Specifically, poorer performance on the 5-STST was associated with higher depression scores and greater disease impact. Similarly, TUG performance correlated with depressive symptoms (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Correlations between functional tests, anxiety and depression, fibromyalgia impact, and pain.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Functional tests</th>
<th align="center" valign="top">5-STST</th>
<th align="center" valign="top">TUG</th>
<th align="center" valign="top">HGS</th>
<th align="center" valign="top">GS (4&#x202F;m)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">HADS-anxiety</td>
<td align="center" valign="top">0.180</td>
<td align="center" valign="top">0.213</td>
<td align="center" valign="top">0.049</td>
<td align="center" valign="top">&#x2212;0.259&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">HADS-depression</td>
<td align="center" valign="top">0.325&#x002A;&#x002A;</td>
<td align="center" valign="top">0.346&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.046</td>
<td align="center" valign="top">&#x2212;0.293</td>
</tr>
<tr>
<td align="left" valign="top">FIQ</td>
<td align="center" valign="top">0.330&#x002A;&#x002A;</td>
<td align="center" valign="top">0.269&#x002A;</td>
<td align="center" valign="top">&#x2212;0.065&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.212&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">VAS</td>
<td align="center" valign="top">0.245&#x002A;</td>
<td align="center" valign="top">0.271&#x002A;</td>
<td align="center" valign="top">&#x2212;0.142</td>
<td align="center" valign="top">&#x2212;0.206</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>HADS, Hospital Anxiety and Depression Scale; 5-STST, 5-Sit-to-Stand test; TUG, Time Up Go; HGS, handgrip strength; GS, gait speed; VAS, Visual Analogue Scale; FIQ, Fibromyalgia Impact Questionnaire. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01.</p>
</table-wrap-foot>
</table-wrap>
<p>No significant correlations were identified between FM impact or pain and the body composition variables assessed (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Correlations between body composition variables, fibromyalgia impact, and pain.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Body composition variables</th>
<th align="center" valign="top">FMB</th>
<th align="center" valign="top">FFM</th>
<th align="center" valign="top">TBW</th>
<th align="center" valign="top">VFL</th>
<th align="center" valign="top">BMI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">FIQ</td>
<td align="center" valign="top">0.008</td>
<td align="center" valign="top">&#x2212;0.063</td>
<td align="center" valign="top">&#x2212;0.059</td>
<td align="center" valign="top">0.018</td>
<td align="center" valign="top">&#x2212;0.035</td>
</tr>
<tr>
<td align="left" valign="top">VAS</td>
<td align="center" valign="top">0.043</td>
<td align="center" valign="top">0.049</td>
<td align="center" valign="top">0.054</td>
<td align="center" valign="top">0.064</td>
<td align="center" valign="top">&#x2212;0.009</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FIQ, Fibromyalgia Impact Questionnaire; VAS, Visual Analogue Scale; FMB, fat body mass; FFM, fat free mass; TBW: total body water; VFL, visceral fat level; BMI, body mass index.</p>
</table-wrap-foot>
</table-wrap>
<p>A multiple linear regression model was performed with the Fibromyalgia Impact Questionnaire (FIQ) score as the dependent variable of interest. In the final model, the predictors explained a substantial proportion of the variance, with an adjusted <italic>R</italic><sup>2</sup> of 0.595, indicating that approximately 60% of the variability in FIQ scores was accounted for by the included variables. The model accounted for 59.5% of the variance in FIQ (<italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.595; adjusted <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.570; standard error of the estimate&#x202F;=&#x202F;11.040). The overall fit was significant, <italic>F</italic>(4, 63)&#x202F;=&#x202F;23.169, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001. Pain (VAS) and depressive symptoms (HADS-depression) contributed independently to higher FIQ, whereas handgrip strength and total body water showed marginal/non-significant effects (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Multivariate linear regression model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Unstandardized coefficient <inline-formula>
<mml:math id="M1">
<mml:mi>&#x03B2;</mml:mi>
</mml:math>
</inline-formula></th>
<th align="center" valign="top">Standardized <inline-formula>
<mml:math id="M2">
<mml:mi>&#x03B2;</mml:mi>
</mml:math>
</inline-formula>coefficients</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Confidence interval</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">VAS</td>
<td align="center" valign="middle">4.993</td>
<td align="center" valign="middle">0.576</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">6.56&#x2013;3.42</td>
</tr>
<tr>
<td align="left" valign="middle">HADS-depression</td>
<td align="center" valign="middle">1.141</td>
<td align="center" valign="middle">0.318</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">1.8 to &#x2212;0.491</td>
</tr>
<tr>
<td align="left" valign="middle">Handgrip</td>
<td align="center" valign="middle">0.348</td>
<td align="center" valign="middle">0.186</td>
<td align="center" valign="middle">0.052</td>
<td align="center" valign="middle">0.699 to &#x2212;0.004</td>
</tr>
<tr>
<td align="left" valign="middle">TBW</td>
<td align="center" valign="middle">&#x2212;0.630</td>
<td align="center" valign="middle">&#x2212;0.183</td>
<td align="center" valign="middle">0.055</td>
<td align="center" valign="middle">0.015 to &#x2212;1.275</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>VAS, Visual Analogue Scale; HADS-D, Hospital Anxiety Depression Scale-Depression; TBW, total body water.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="sec9">
<label>4</label>
<title>Discussion</title>
<p>The present study sought to examine interrelationships among FM impact, pain intensity, functional capacity, and psychological symptoms (anxiety and depression) according HADS questionnaire, as well as associations with body composition. Consistent with prior work, our participants displayed elevated pain levels (VAS 7.03 <inline-formula>
<mml:math id="M3">
<mml:mo>&#x00B1;</mml:mo>
</mml:math>
</inline-formula>1.94) and a high perceived disease burden (FIQ 65.27 <inline-formula>
<mml:math id="M4">
<mml:mo>&#x00B1;</mml:mo>
</mml:math>
</inline-formula> 16.07).</p>
<p>In comparative populations, such as people with rheumatoid arthritis, individuals with FM often show worse pain experience, catastrophising, and central sensitisation (<xref ref-type="bibr" rid="ref27">27</xref>). That study, along with ours, emphasises the importance of addressing pain, functional impairment, and psychosocial factors in tandem. Other authors have demonstrated that pain catastrophising and depressive symptoms are key mediators of disability in FM (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>The literature indicates that high scores in HADS and kinesiophobia are negatively associated with physical functioning and quality of life in FM, fostering avoidance behaviours that exacerbate chronic pain (<xref ref-type="bibr" rid="ref29">29</xref>). In our sample, the HADS-A and HADS-D questionnaire scores were 12.65&#x202F;&#x00B1;&#x202F;4.56 and 9.93&#x202F;&#x00B1;&#x202F;4.56, respectively. These data suggested that the patients exhibited a moderate level of anxiety and a mild level of depression. We found moderate correlations between depression and performance on the 5-STST (<italic>r</italic>&#x202F;=&#x202F;0.325) and TUG (<italic>r</italic>&#x202F;=&#x202F;0.346). Additionally, FIQ correlated moderately with performance in all physical tests. These findings reinforce the idea that multidimensional treatment combining supervised physical exercise and psychological interventions it&#x2019;s necessary to improve the outcomes for patients with FM (<xref ref-type="bibr" rid="ref30">30</xref>).</p>
<p>In relation to body composition parameters, a study conducted on Spanish women with FM showed that 31.5% were obese and 38.5% were overweight (<xref ref-type="bibr" rid="ref31">31</xref>). This trend also occurs in our study, as the mean BMI value is 27.47 <inline-formula>
<mml:math id="M5">
<mml:mo>&#x00B1;</mml:mo>
</mml:math>
</inline-formula> 5.66, indicating overweight. This indicates that there is a prevalence of excess adiposity in women with FM, which is related to an increase in inflammatory hormones that can cause increased sensitivity to pain (<xref ref-type="bibr" rid="ref9">9</xref>). A study conducted with women with FM found an association between waist circumference, BMI, and low levels of physical activity, especially with light physical activity (<xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>According to the results of our study, we can observe that pain appeared as the main determinant of functional capacity. This reinforces the role of chronic pain as a limitation of functional capacity in subjects with FM. Similarly, total body water and handgrip strength were related to functional capacity. According to the data obtained, these variables follow a trend suggesting that the functional capacity of people with FM depends mainly on muscle quality and neuromuscular efficiency. Other studies have shown that grip strength is an indicator of functional capacity in women with FM (<xref ref-type="bibr" rid="ref33">33</xref>). Furthermore, women with FM have a higher percentage of fat mass and greater grip strength than healthy women (<xref ref-type="bibr" rid="ref34">34</xref>). It has also been observed that people with FM present high levels of depression, which has a negative impact on functional capacity and activities of daily living (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>Low physical activity is a frequent characteristic in FM populations. Sedentarism may exacerbate metabolic dysfunction and foster central adiposity, thus creating a vicious cycle of pain-inactivity. In line with this, we observed moderate correlations between FIQ and physical test performance, reinforcing the notion that physical deconditioning is intertwined with symptom severity. Meta-analyses and systematic reviews show that both endurance and resistance training can ameliorate FM impact, reduce pain, and improve psychological outcomes (<xref ref-type="bibr" rid="ref36">36</xref>-<xref ref-type="bibr" rid="ref39">39</xref>). In particular, resistance exercise has recently shown promising effects on depression and fatigue in women with FM, with clinically meaningful improvements (<xref ref-type="bibr" rid="ref41">41</xref>). Another trial comparing resistance training of different intensities found that low-intensity regimens yielded greater reductions in depressive symptoms at 4&#x202F;weeks among FM patients (<xref ref-type="bibr" rid="ref40">40</xref>). Taken together, these results support the adoption of a multidisciplinary treatment approach targeting body composition, motor function, pain modulation, and mental health (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>These findings highlight the necessity of adopting a multidisciplinary management strategy that integrates therapeutic exercise, tailored pain management, psychological support, and interventions targeting body composition and overall health. Such an approach may optimise functionality, reduce symptom burden, and improve quality of life in this population.</p>
<p>Some of the limitations of this study are that, as it is a cross-sectional design, it prevents causal inferences between the variables examined. Furthermore, although the inclusion criteria were neutral, our sample is exclusively female. This is due to the etiopathogenesis of the pathology and is consistent with the existing literature, but it limits the generalization of the findings to male patients. The sample size is small, which restricts statistical power and external validity. Finally, the absence of a healthy control group prevents direct comparison of functional and psychological outcomes with normative populations.</p>
<p>In subsequent research phases, efforts will be directed towards recruiting a sex-balanced cohort including healthy controls, which would enable normative benchmarking and more accurate modelling of predictive pathways. Moreover, longitudinal and interventional study designs will be essential to elucidate causal mechanisms and guide the development of optimised, personalised therapeutic protocols for individuals with FM.</p>
</sec>
<sec sec-type="conclusions" id="sec10">
<label>5</label>
<title>Conclusion</title>
<p>Patients in this study reported severe pain and increased sensitivity to pain, especially in the epicondyles. Strong correlations emerged between higher pain levels, greater disease impact and higher scores in anxiety and depression symptoms. Although skeletal muscle mass appeared preserved, it was not associated with physical performance. Pain intensity and depressive symptoms were the strongest predictors of fibromyalgia impact, while grip strength and total body water showed a lesser contribution.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec11">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec12">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Comit&#x00E9; de &#x00E9;tica Hospital Cl&#x00ED;nico San Carlos. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec13">
<title>Author contributions</title>
<p>E&#x00DA;-D&#x2019;O: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Funding acquisition. NM-G: Conceptualization, Investigation, Methodology, Project administration, Writing &#x2013; review &#x0026; editing, Supervision, Visualization. BP-R: Conceptualization, Investigation, Methodology, Project administration, Supervision, Visualization, Writing &#x2013; review &#x0026; editing, Software. AD-G: Investigation, Project administration, Writing &#x2013; review &#x0026; editing. CO-M: Investigation, Project administration, Writing &#x2013; review &#x0026; editing, Conceptualization, Methodology, Software, Supervision, Visualization. MJF-A: Visualization, Writing &#x2013; review &#x0026; editing, Data curation, Formal analysis, Resources, Validation. JPH-P: Resources, Validation, Visualization, Writing &#x2013; review &#x0026; editing, Conceptualization, Investigation, Methodology, Software. EC-F-P: Conceptualization, Investigation, Methodology, Software, Writing &#x2013; review &#x0026; editing, Formal analysis, Project administration, Writing &#x2013; original draft.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the members of the Afinsyfacro Association for their participation in the study.</p>
</ack>
<sec sec-type="COI-statement" id="sec14">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec16">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2941674/overview">Jacopo Maria Fontana</ext-link>, Italian Auxological Institute (IRCCS), Italy</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/952532/overview">Eleonora Gentile</ext-link>, Azienda Sanitaria Localedella Provincia di Barletta Andri Trani (ASL BT), Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3092428/overview">Giuseppe Enea</ext-link>, Mediterranean Institute for Transplantation and Highly Specialized Therapies (ISMETT), Italy</p>
</fn>
</fn-group>
</back>
</article>