Filippo Maria Nimbi , Luigi Palla , Sara Bottiroli , Lorys Castelli , Piercarlo Sarzi-Puttini , Federica Galli
{"title":"心理变量的聚类分析,以确定伤害性疼痛的概况:一项横断面研究,在妇女纤维肌痛,慢性头痛和外阴痛","authors":"Filippo Maria Nimbi , Luigi Palla , Sara Bottiroli , Lorys Castelli , Piercarlo Sarzi-Puttini , Federica Galli","doi":"10.1016/j.jpsychores.2025.112203","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Nociplastic pain (NP) arises from altered nociceptive processing without detectable tissue damage and is common in conditions such as fibromyalgia (FM), vulvodynia (VU), and chronic headaches (CH).</div></div><div><h3>Objectives</h3><div>This study aimed to identify subgroups of NP patients using cluster analysis based on psychological variables, including central sensitivity syndrome manifestations, environmental sensitivity, traumatic experiences, personality traits, defense mechanisms, and alexithymia. A secondary aim was to compare these clusters with clinical diagnoses (FM, CH, VU, and comorbid cases) to explore potential overlaps between psychological profiles and conditions.</div></div><div><h3>Methods</h3><div>A total of 895 Italian women were recruited via snowball sampling through patient associations. Participants completed a web survey featuring self-administered psychological measures assessing central sensitivity, environmental sensitivity, traumatic experiences, personality traits, defense mechanisms, and alexithymia.</div></div><div><h3>Results</h3><div>Cluster analysis identified three meaningful groups—“severe,” “moderate,” and “mild” psychological impairment—based on 20 psychological variables. A one-way MANOVA revealed significant differences among clusters, with central sensitization, alexithymia, and personality traits contributing most to the variance. Chi-square analysis showed significant differences in the distribution of NP conditions across clusters. FM and comorbid cases were associated with “moderate” and “severe” impairment clusters, indicating more compromised psychological profiles compared to other conditions.</div></div><div><h3>Conclusions</h3><div>These findings highlight the presence of distinct psychological profiles within NP conditions, supporting the need for a multidimensional approach to assessment and treatment. Tailored psychological interventions addressing these profiles could improve outcomes for NP patients.</div></div>","PeriodicalId":50074,"journal":{"name":"Journal of Psychosomatic Research","volume":"195 ","pages":"Article 112203"},"PeriodicalIF":3.3000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A cluster analysis of psychological variables to identify profiles of Nociplastic pain: A cross-sectional study in women with fibromyalgia, chronic headache and vulvodynia\",\"authors\":\"Filippo Maria Nimbi , Luigi Palla , Sara Bottiroli , Lorys Castelli , Piercarlo Sarzi-Puttini , Federica Galli\",\"doi\":\"10.1016/j.jpsychores.2025.112203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Nociplastic pain (NP) arises from altered nociceptive processing without detectable tissue damage and is common in conditions such as fibromyalgia (FM), vulvodynia (VU), and chronic headaches (CH).</div></div><div><h3>Objectives</h3><div>This study aimed to identify subgroups of NP patients using cluster analysis based on psychological variables, including central sensitivity syndrome manifestations, environmental sensitivity, traumatic experiences, personality traits, defense mechanisms, and alexithymia. A secondary aim was to compare these clusters with clinical diagnoses (FM, CH, VU, and comorbid cases) to explore potential overlaps between psychological profiles and conditions.</div></div><div><h3>Methods</h3><div>A total of 895 Italian women were recruited via snowball sampling through patient associations. Participants completed a web survey featuring self-administered psychological measures assessing central sensitivity, environmental sensitivity, traumatic experiences, personality traits, defense mechanisms, and alexithymia.</div></div><div><h3>Results</h3><div>Cluster analysis identified three meaningful groups—“severe,” “moderate,” and “mild” psychological impairment—based on 20 psychological variables. A one-way MANOVA revealed significant differences among clusters, with central sensitization, alexithymia, and personality traits contributing most to the variance. Chi-square analysis showed significant differences in the distribution of NP conditions across clusters. FM and comorbid cases were associated with “moderate” and “severe” impairment clusters, indicating more compromised psychological profiles compared to other conditions.</div></div><div><h3>Conclusions</h3><div>These findings highlight the presence of distinct psychological profiles within NP conditions, supporting the need for a multidimensional approach to assessment and treatment. 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A cluster analysis of psychological variables to identify profiles of Nociplastic pain: A cross-sectional study in women with fibromyalgia, chronic headache and vulvodynia
Background
Nociplastic pain (NP) arises from altered nociceptive processing without detectable tissue damage and is common in conditions such as fibromyalgia (FM), vulvodynia (VU), and chronic headaches (CH).
Objectives
This study aimed to identify subgroups of NP patients using cluster analysis based on psychological variables, including central sensitivity syndrome manifestations, environmental sensitivity, traumatic experiences, personality traits, defense mechanisms, and alexithymia. A secondary aim was to compare these clusters with clinical diagnoses (FM, CH, VU, and comorbid cases) to explore potential overlaps between psychological profiles and conditions.
Methods
A total of 895 Italian women were recruited via snowball sampling through patient associations. Participants completed a web survey featuring self-administered psychological measures assessing central sensitivity, environmental sensitivity, traumatic experiences, personality traits, defense mechanisms, and alexithymia.
Results
Cluster analysis identified three meaningful groups—“severe,” “moderate,” and “mild” psychological impairment—based on 20 psychological variables. A one-way MANOVA revealed significant differences among clusters, with central sensitization, alexithymia, and personality traits contributing most to the variance. Chi-square analysis showed significant differences in the distribution of NP conditions across clusters. FM and comorbid cases were associated with “moderate” and “severe” impairment clusters, indicating more compromised psychological profiles compared to other conditions.
Conclusions
These findings highlight the presence of distinct psychological profiles within NP conditions, supporting the need for a multidimensional approach to assessment and treatment. Tailored psychological interventions addressing these profiles could improve outcomes for NP patients.
期刊介绍:
The Journal of Psychosomatic Research is a multidisciplinary research journal covering all aspects of the relationships between psychology and medicine. The scope is broad and ranges from basic human biological and psychological research to evaluations of treatment and services. Papers will normally be concerned with illness or patients rather than studies of healthy populations. Studies concerning special populations, such as the elderly and children and adolescents, are welcome. In addition to peer-reviewed original papers, the journal publishes editorials, reviews, and other papers related to the journal''s aims.