Pain-Related Worrying and Goal Preferences Determine Walking Persistence in Women with Fibromyalgia

Preference for Hedonic Goals in Fibromyalgia; Is It Always an Avoidance Mechanism? Looking the Relationship with Pain Acceptance from a Positive Psychology Perspective

The aim of this study was to analyze the effect of openness to experience on pain acceptance through positive affect (PA) considering the moderating role of preference for mood management goals in women with fibromyalgia (FM). A cross-sectional study (n = 231) was carried out. A simple mediation model and a moderate mediation model were conducted by SPSS macro-PROCESS. Results showed that PA mediated positively the effect of openness to experience on acceptance (B = 0.46, SE = 0.80, t = 5,59; 95% CI = [0.3016, 0.6298], p < .001) and that the contribution of openness to experience to PA varied at different values of mood management goals (medium: - .04; ß = .40, p < .001; high: .95; ß = .61, p<.001). Findings may serve as a foundation for tailored interventions to promote activity through acceptance focusing on PA and mood management goals among women with medium to high level of hedonic goals.

Correlates of sedentary behavior in people with fibromyalgia: A systematic review

INTRODUCTION

Understanding the correlates of sedentary behavior (SB) is important in the development of interventions which reduce and interrupt SB in people with fibromyalgia (PwF). This systematic review aimed to investigate the correlates of SB in PwF using the socio-ecological model.

METHODS

Three databases (Embase, CINAHL and PubMed) were search from inception until July 21, 2022 using "sedentary" or different types of SB and "fibromyalgia" or "fibrositis" as keywords. The data collected was then analyzed using summary coding.

RESULTS

Out of 23 SB correlates retrieved from 7 reports (n = 1698), no correlates were consistently reported (ie, reported in 4 or more studies). Higher pain intensity was the most commonly reported barrier for reducing/interrupting SB (reported in 3 reports). Other reported barriers to reducing/interrupting SB were experiencing physical and mental fatigue, a more severe disease impact, and a lack of motivation to be physically active (all reported in 1 study). A better experienced social and physical functioning and more vitality were facilitators for reducing/interrupting SB (all reported in 1 study). To date, in PwF no correlates of SB at the interpersonal, environmental and policy levels have been explored.

CONCLUSION

Research on correlates of SB in PwF is still in its infancy. The current preliminary evidence suggests that clinicians should consider physical and mental barriers when aiming to reduce or interrupt SB in PwF. Further research on modifiable correlates at all levels of the socio-ecological model is required to inform future trials aiming to modify SB in this vulnerable population.

Methylation factors as biomarkers of fibromyalgia

Background

Fibromyalgia (FM) is a common and intractable chronic musculoskeletal pain syndrome, but its exact underlying mechanisms are unknown. This study sought to identify biomarkers of FM and the underlying molecular mechanisms of the disease.

Methods

FM-related gene expression profiles (GSE67311) and methylation profiles (GSE85506) were obtained from the Gene Expression Omnibus database, and a differential expression analysis was performed to identify the methylation factors. Subsequently, an enrichment analysis and gene set enrichment analysis (GSEA) were conducted to examine the methylation factors. In addition, the transcriptional regulators of the methylation factors were predicted, and key methylation factors were identified by a receiver operating characteristic curve analysis and nomogram models. Finally, the relationship between FM and cell death (pyroptosis, necroptosis, and cuproptosis) was assessed by a GSEA and gene set variation analysis.

Results

A total of 455 methylation factors were identified. The enrichment analysis and GSEA results showed that methylation factors were clearly involved in the biological functions and signaling pathways related to neural, immune inflammation, and pain responses. The transcriptional regulator specificity protein 1 (SP1) may have a broad regulatory role. Finally, seven key methylation factors were identified, of which amino beta (A4) precursor protein binding family B member 2 (APBB2), A-kinase anchor protein 12 (AKAP12), and cluster of differentiation 38 (CD38) had strong clinical diagnostic power. In addition, AKAP12 and CD38 were significantly and negatively associated with sepsis, necrotizing sepsis, and cupular sepsis.

Conclusions

Our study suggests that FM is associated with deoxyribonucleic acid methylation. The methylation factors APBB2, AKAP12, and CD38 may be potential biomarkers and should be further examined to provide a new biological framework of the possible disease mechanisms underlying FM.