Dysmenorrhea catastrophizing and functional impairment in female pelvic pain

Functional connectivity associations with menstrual pain characteristics in adolescents: an investigation of the triple network model

ABSTRACT

Menstrual pain is associated with deficits in central pain processing, yet neuroimaging studies to date have all been limited by focusing on group comparisons of adult women with vs without menstrual pain. This study aimed to investigate the role of the triple network model (TNM) of brain networks in adolescent girls with varied menstrual pain severity ratings. One hundred participants (ages 13-19 years) completed a 6-min resting state functional magnetic resonance imaging (fMRI) scan and rated menstrual pain severity, menstrual pain interference, and cumulative menstrual pain exposure. Imaging analyses included age and gynecological age (years since menarche) as covariates. Menstrual pain severity was positively associated with functional connectivity between the cingulo-opercular salience network (cSN) and the sensory processing regions, limbic regions, and insula, and was also positively associated with connectivity between the left central executive network (CEN) and posterior regions. Menstrual pain interference was positively associated with connectivity between the cSN and widespread brain areas. In addition, menstrual pain interference was positively associated with connectivity within the left CEN, whereas connectivity both within the right CEN and between the right CEN and cortical areas outside the network (including the insula) were negatively associated with menstrual pain interference. Cumulative menstrual pain exposure shared a strong negative association with connectivity between the default mode network and other widespread regions associated with large-scale brain networks. These findings support a key role for the involvement of TNM brain networks in menstrual pain characteristics and suggest that alterations in pain processing exist in adolescents with varying levels of menstrual pain.

Cognitive Functioning in Females with Endometriosis-Associated Chronic Pelvic Pain: A Literature Review

OBJECTIVE

Cognitive complaints are commonplace among women living with endometriosis-associated chronic pelvic pain (CPP); yet, surprisingly few studies have assessed their cognitive functioning. As an initial step to address the resulting knowledge gap, this review aimed to synthesize the current literature reporting on cognition in females with endometriosis-associated CPP, and due to the poverty of endometriosis studies, to draw on data from female cohorts with other chronic pain conditions to gain potentially relevant insights.

METHODS

Three database searches were conducted (Scopus, PubMed, and PsycINFO). Eighteen studies met the inclusion criteria (n = 8 regarding endometriosis, n = 10 regarding other chronic pain conditions).

RESULTS

Six of the seven studies employing objective cognitive measures in females with other chronic pain reported significant cognitive deficits. Associated changes in neural circuitry thought to underpin these deficits align with neural patterns reported in females with endometriosis-associated CPP. While two studies reported a high prevalence (≥60%) of self-reported cognitive impairment in endometriosis-associated CPP, objective performance deficits have not been reported. Nonetheless, self-reported accounts of cognitive impairment suggest females with endometriosis-associated CPP may experience difficulties with inhibition, attention, and memory. Most studies did not control for potential moderating factors and comorbidities that prevail among endometriosis populations.

CONCLUSION

The field is in desperate need of research assessing cognitive performance in females with endometriosis-associated CPP, to objectively determine any cognitive difficulties. Attention should be paid to likely moderators, pain-related mechanisms, and whether findings extend to endometriosis without CPP.

Neuroticism and cognitive correlates of depression and anxiety in endometriosis: A meta-analytic review, evidence appraisal, and future recommendations

OBJECTIVE

This meta-analytic review aimed to synthesise evidence on personality and cognitive factors related to depression and anxiety in endometriosis and determine whether sociodemographic and clinical variables moderate factor-symptom relations. Additionally, this review aimed to evaluate the quality of research and formulate recommendations for future research.

METHODS

A systematic search was conducted across databases (Medline, Embase, PsycInfo, Web of Science, ProQuest) through to February 2024. Search terms were used for endometriosis, depression, anxiety, cognitive factors and personality traits. Random-effects meta-analyses were conducted to produce pooled weighted effects (r) for factor-symptom relationships.

RESULTS

Thirteen studies (11 samples; N = 3287; Mage 33.89 ± 2.48) were included in a narrative synthesis. One study provided evidence for a positive association between neuroticism and depression. Seven studies contributed to meta-analyses on three cognitive factors. Medium-to-large associations were identified between illness perceptions of low control/power (r = 0.35, 95 % CI: 0.01,0.62), rumination (r = 0.52, 95 % CI: 0.09, 0.78), pain-catastrophising (r = 0.37, 95 % CI: 0.28, 0.45) and higher levels of depression. The statistical power to detect significant effects was >80 %. Findings for anxiety were non-significant, although limited data were available. Quality appraisal revealed a high risk of within-study bias (4.69 ± 1.38, range: 3-7), with issues related to sample representativeness and measurement selection.

CONCLUSION

Rumination, pain-catastrophising, and illness perceptions of low control/power are important in understanding depression in endometriosis. There is a lack of research on personality traits, necessitating further study. Findings highlight the importance of prioritising modifiable cognitive factors in psychological research and clinical practice in endometriosis.

A comprehensive investigation of biopsychosocial determinants influencing primary dysmenorrhea among university students

Dysmenorrhea, characterized by pain and related symptoms, significantly impacts women's quality of life in work and education, prompting a comprehensive evaluation of associated factors. The objective of this study was to utilize structural equation modeling (SEM) to analyze and assess the biopsychosocial factors influencing dysmenorrhea among university students. Three hundred and thirty-nine university students were included in this cross-sectional descriptive study. Data were collected using the Participant Information Form, the Beck Anxiety Scale (BAS), the Beck Depression Scale (BDS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Adverse Childhood Experiences Scale (ACES), the Pain Catastrophizing Scale (PCS) and the Visual Analogue Scale (VAS). It was determined that the variables of pain onset (t = 3.24, p < .05) and age at menarche (t = -2.16, p < .05) showed a significant relationship with the model. The variables of the PCS (t = 16.87, p < .001), BDS (t = 3.06, p < .05), and BAS (t = 5.13, p < .001) showed a significant relationship with the model. Social factors in the model were examined, and a family history of dysmenorrhea and the ACES variables did not contribute significantly to the model (p > .05). The study indicates primary dysmenorrhea influenced by biological and psychological factors. Nurses should conduct holistic assessments and provide comprehensive care for affected women.

Development and initial validation of the menstrual sensitivity index

OBJECTIVE

The present study sought to develop and perform the initial validation of a scale assessing sensitivity to menstrual pain and symptoms.

METHODS

Data were taken from a larger parent study in which participants were recruited from a nationwide sample of individuals via the UniVox platform (www.univoxcommunity.com). In that study, participants were stratified by age and self-reported menstrual pain. Participants in the parent study completed 2 online surveys, one at baseline and one at a 3-month follow up. Participants who provided complete responses to the potential scale items, as well as a variety of validated questionnaires, were included in the present analyses. Final item selection was determined by factor analyses, and measures of validity and reliability were examined.

RESULTS

Factor analyses support an 8-item scale assessing menstrual sensitivity. This scale, the Menstrual Sensitivity Index, demonstrates excellent internal consistency, good item-total correlations, and good total score test-retest reliability. Convergent validity emerged for menstrual- and pain-specific measures, and divergent validity emerged for anxiety sensitivity, anxiety, depression, nonmenstrual bodily pain, and premenstrual symptoms.

CONCLUSIONS

Menstrual sensitivity is a unique construct that reflects women's attunement to and fear of menstrual symptoms, and the Menstrual Sensitivity Index is a valid and reliable measure of this construct. This scale could be useful in advancing research and clinical work targeting menstrual pain.