CRD42016028121.

Pain catastrophizing has emerged as one of the most robust predictors of child pain outcomes.Although assessments of state (i.e., situation-specific) pain catastrophizing in children and parents are often used, their psychometric properties are unknown. This study aimed to assess factor structure, reliability and predictive validity of state versions of Pain Catastrophizing Scales for children (PCS-C State) and parents (PCS-P State) relative to corresponding trait versions for child and parental pain-related outcomes. Data were pooled from 8 experimental pain studies wherein child and/or parent state catastrophizing (measured immediately before application of a pain stimulus) and trait catastrophizing were assessed in community-based samples of children aged 8-18 years (N=689) and their parents (N=888) in Dutch or English.Exploratory factor analyses were conducted to examine the underlying factor structure of the PCS-P/PCS-C State, revealing a single factor solution that explained 55.53% of the variance for children and 49.72% for parents. Hierarchical linear regression analyses were used to examine relative influence of state versus trait catastrophizing on child and parent painrelated outcomes. Child and parent state catastrophizing were significantly associated with child pain intensity, child state anxiety and parental distress. State catastrophizing scores showed stronger associations than trait scores for most outcomes.Perspective: This article presents the psychometric properties of state pain catastrophizing measures for children and parents. Findings underscore the importance of assessing state pain catastrophizing about acute pain experiences in parents and children, and provide a basis for robust and valid measurement of state pain catastrophizing about child pain.

Associations among unique adherence measures were weak overall, providing further evidence that multiple measures are necessary to accurately assess adherence. Habit strength is a key predictor of adherence for chronic conditions. Both habit strength and pill burden represent important intervention targets for improving long-term medication adherence. Longitudinal inception studies are needed to properly test Common-Sense Model propositions and elucidate the role of beliefs, coherence, and habits in predicting adherence at various stages of the chronic illness trajectory. Statement of contribution What is already known on this subject? Non-adherence to antihypertensives is a leading cause of apparent treatment-resistant hypertension (aTRH). Behaviour maintenance (vs. initiation) factors may be more predictive of long-term adherence. What does this study add? Associations among direct and indirect measures of adherence are generally weak. Habit strength is the strongest predictor of long-term adherence for aTRH in primary care. Inception studies are needed to further validate Common-Sense Model propositions.

This review and meta-analysis of interventions documented significant but modest post-intervention improvements in BP outcomes among hypertensive patients. However, this is a tentative finding as substantial heterogeneity and potential biases were present. One of the greatest challenges of this review was assessing risk of bias, extracting sufficient data to calculate effect size and coding interventions with the amount of information provided in papers. It is imperative that future adherence research comprehensively reports methodology.

Objective Primary dysmenorrhea (PD), or painful menstruation, is a common gynaecological condition that can cause intense pain and functional disability in women of reproductive age. As a non-malignant condition, PD is relatively under-studied and poorly managed. The purpose of this study was to estimate the prevalence and impact of PD among third-level students in Ireland. Design Cross-sectional observational study. Methods Students (N = 892; age range = 18–45) completed an online survey on menstrual pain characteristics, pain management strategies, pain interference, and pain catastrophizing. Results The prevalence of PD was 91.5% (95% Confidence Interval = 89.67–93.33). Non-pharmacological management strategies were most popular (95.1%); of these, heat application (79%), rest (60.4%), hot shower/bath (40.9%), and exercise (25.7%) were most common. Perceived effectiveness of these methods varied between participants. Analgesic use was also common (79.5%); of these, paracetamol was most used (60.5%) despite limited perceived effectiveness. Pain catastrophizing was a significant predictor of variance in both pain intensity and pain interference scores such that those with higher pain catastrophizing scores reported more intense pain and greater interference with daily activities and academic demands. Conclusions This article presents the first investigation into PD among third-level students in Ireland. Poorly managed menstrual pain may impact functional ability across several domains. Future research should focus on improving menstrual pain management education and support, and promoting menstrual health literacy for women affected by PD.