ObjectiveFibromyalgia (FM) is a chronic musculoskeletal pain syndrome of unknown aetiopathogenesis. Its development and maintenance are related to the interplay of biological, psychological, and contextual factors. Among the contextual factors, sociodemographic aspects are poorly elucidated. This study aimed to evaluate the relationships between sociodemographic/ clinical factors and symptom severity measures using a web-based registry of patients with FM.MethodsAdult patients with an ACR 2010/2011 diagnosis of FM underwent a clinical evaluation and were asked to complete questionnaires covering their sociodemographic data (gender, age, marital status, educational level), and disease-specific measures (the revised Fibromyalgia Impact Questionnaire (FIQR), and the Polysymptomatic Distress Scale (PDS)).ResultsData relating to 3,221 patients (3001 women and 220 men) was collected. The ANOVA showed significant difference in mean FIQR scores when the five marital conditions (cohabiter, married, separated/divorced, single, widowed) were compared ( F 3.321, p< 0.01). While males and females were found to have comparable FIQR scores, the interaction between gender and marital status indicated that separated/divorced males have higher FIQR scores (F 5.684, p=0.001). The multiple regression analysis demonstrated that patients who reported lower educational level experienced more severe FM symptoms, as scored with FIQR (p<0.0001).ConclusionOur results indicated that being male and separated/divorced is associated to higher severity of FM symptoms, as rated with FIQR. Furthermore, a relationship between educational level and FIQR scores has been detected. This study supports the importance of collecting simple SES measures to identify environmental risk factors for FM severity.
Sociodemographic factors in fibromyalgia: results from the Italian Fibromyalgia Registry / Atzeni, Fabiola; Alciati, Alessandra; Bazzichi, Laura; Govoni, Marcello; Biasi, Giovanni; Di Franco, Manuela; Mozzani, Flavio; Gremese, Elisa; Dagna, Lorenzo; Batticciotto, Alberto; Fischetti, Fabio; Giacomelli, Roberto; Guiducci, Serena; Guggino, Giuliana; Bentivegna, Mario; Gerli, Roberto; Salvarani, Carlo; Bajocchi, Gianluigi; Ghini, Marco; Iannone, Florenzo; Giorgi, Valeria; Di Carlo, Marco; Farah, Sonia; Bonazza, Sara; Barbagli, Stefano; Gioia, Chiara; Marino, Noemi Giuliana; Capacci, Annunziata; Cavalli, Giulio; Carubbi, Francesco; Nacci, Francesca; Riccucci, Ilenia; Cutolo, Maurizio; Sinigaglia, Luigi; Sarzi-Puttini, Piercarlo; Salaffi, Fausto. - In: CLINICAL AND EXPERIMENTAL RHEUMATOLOGY. - ISSN 0392-856X. - ELETTRONICO. - 40:(2022), pp. 1183-1188. [10.55563/clinexprheumatol/64963d]
Sociodemographic factors in fibromyalgia: results from the Italian Fibromyalgia Registry
Di Franco, Manuela;Guiducci, Serena;Di Carlo, Marco;Nacci, Francesca;
2022
Abstract
ObjectiveFibromyalgia (FM) is a chronic musculoskeletal pain syndrome of unknown aetiopathogenesis. Its development and maintenance are related to the interplay of biological, psychological, and contextual factors. Among the contextual factors, sociodemographic aspects are poorly elucidated. This study aimed to evaluate the relationships between sociodemographic/ clinical factors and symptom severity measures using a web-based registry of patients with FM.MethodsAdult patients with an ACR 2010/2011 diagnosis of FM underwent a clinical evaluation and were asked to complete questionnaires covering their sociodemographic data (gender, age, marital status, educational level), and disease-specific measures (the revised Fibromyalgia Impact Questionnaire (FIQR), and the Polysymptomatic Distress Scale (PDS)).ResultsData relating to 3,221 patients (3001 women and 220 men) was collected. The ANOVA showed significant difference in mean FIQR scores when the five marital conditions (cohabiter, married, separated/divorced, single, widowed) were compared ( F 3.321, p< 0.01). While males and females were found to have comparable FIQR scores, the interaction between gender and marital status indicated that separated/divorced males have higher FIQR scores (F 5.684, p=0.001). The multiple regression analysis demonstrated that patients who reported lower educational level experienced more severe FM symptoms, as scored with FIQR (p<0.0001).ConclusionOur results indicated that being male and separated/divorced is associated to higher severity of FM symptoms, as rated with FIQR. Furthermore, a relationship between educational level and FIQR scores has been detected. This study supports the importance of collecting simple SES measures to identify environmental risk factors for FM severity.File | Dimensione | Formato | |
---|---|---|---|
article-3.pdf
Accesso chiuso
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
413.2 kB
Formato
Adobe PDF
|
413.2 kB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.