Impact of Different Illness Perceptions and Emotions Associated with Chronic Back Pain on Anxiety and Depression in Patients Qualified for Surgery

Self-management and illness perception among cervical cancer patients: A cross-sectional study

AIM

This study aimed to describe self-management among cervical cancer patients and to elucidate the relationship between illness perception and self-management in patients with cervical cancer.

METHODS

This was a cross-sectional study. A convenience sample of 220 cervical cancer patients was recruited from the gynaecology outpatient department of a cancer hospital. Data were collected from September 2018 to February 2019. Self-management and illness perception were assessed using the Cancer Self-Management Assessment Scale and the Revised Illness Perception Questionnaire for cervical cancer, respectively. Data were analysed using Pearson correlation analysis, univariate analysis and hierarchical linear regression analysis.

RESULTS

The mean score of self-management was 3.87 ± 0.53, and daily life management showed the highest score (4.18 ± 0.58), while symptom management was the lowest (3.11 ± 082). Hierarchical linear regression analysis showed that family monthly income per person, types of surgery and personal control were factors that significantly influenced self-management.

CONCLUSIONS

The results demonstrate that self-management among patients with cervical cancer needs to be improved. The significant influence of illness perception offers an opportunity for nurses to improve self-management behaviours of patients with cervical cancer.

The two-stage therapeutic effect of posture biofeedback training on back pain and the associated mechanism: A retrospective cohort study

Introduction: Back pain is an extremely common symptom experienced by people of all ages and the number one cause of disability worldwide.² Poor posture has been identified as one of the factors leading to back pain. Digital biofeedback technology demonstrates the promising therapeutic ability in pain management through posture training. One common goal of such an approach is to increase users' posture awareness with associated movement correction. However, we lack a deep understanding of the biofeedback therapeutic mechanisms and the temporal dynamics of efficacy. Objective: This study investigates the temporal dynamics of the biofeedback learning process and associated outcomes in daily life settings, testing the mechanism of the biofeedback-associated pain reduction. Methods: This retrospective real-world evidence study followed 981 users who used the UpRight posture biofeedback platform. Piecewise mixed models were used for modeling the two-stage trajectory of pain levels, perceived posture quality, and weekly training duration following an 8-week biofeedback training. Also, the mediation effect of perceived posture quality on the analgesic effect of training duration was tested using Monte Carlo simulations based on lagged effect mixed models. Results: The analysis revealed significant pain level reduction (p <.0001) and posture quality improvement (p <.0001) during the first 4 weeks of the training, maintaining similar pain levels and perceived posture quality during the next 4 weeks. In addition, weekly training duration demonstrated an increase during the first 3 weeks (p <.001) and decreased during the next 5 weeks (p <.001). Moreover, training duration predicted following-week perceived posture quality (p <.001) and in turn perceived posture quality predicted following-week pain (p <.001) (p = 0.30). Finally, perceived posture quality mediated the effect of weekly training duration on the pain levels in 2 weeks (p <.0001). Conclusion: Our findings provide a better understanding of the therapeutic dynamic during digital biofeedback intervention targeting pain, modeling the associated two-stage process. Moreover, the study sheds light on the biofeedback mechanism and may assist in developing a better therapeutic approach targeting perceived posture quality.

Limited predictive value of illness perceptions for short-term poor recovery in musculoskeletal pain. A multi-center longitudinal study

Background

Musculoskeletal pain (MSP) is recognized worldwide as a major cause of increased years lived with disability. In addition to known generic prognostic factors, illness perceptions (IPs) may have predictive value for poor recovery in MSP. We were interested in the added predictive value of baseline IPs, over and above the known generic prognostic factors, on clinical recovery from MSP. Also, it is hypothesized there may be overlap between IPs and domains covered by the Four-Dimensional Symptom Questionnaire (4DSQ), measuring distress, depression, anxiety and somatization. The aim of this study is twofold; 1) to assess the added predictive value of IPs for poor recovery and 2) to assess differences in predictive value for poor recovery between the Brief Illness Perception Questionnaire - Dutch Language Version (Brief IPQ-DLV) and the 4DSQ.

Methods

An eligible sample of 251 patients with musculoskeletal pain attending outpatient physical therapy were included in a multi-center longitudinal cohort study. Pain intensity, physical functioning and Global Perceived Effect were the primary outcomes. Hierarchical logistic regression models were used to assess the added value of baseline IPs for predicting poor recovery. To investigate the performance of the models, the levels of calibration (Hosmer-Lemeshov test) and discrimination (Area under the Curve (AUC)) were assessed.

Results

Baseline ‘Treatment Control’ added little predictive value for poor recovery in pain intensity [Odds Ratio (OR) 0.80 (Confidence Interval (CI) 0.66–0.97), increase in AUC 2%] and global perceived effect [OR 0.78 (CI 0.65–0.93), increase in AUC 3%]. Baseline ‘Timeline’ added little predictive value for poor recovery in physical functioning [OR 1.16 (CI 1.03–1.30), increase in AUC 2%]. There was a non-significant difference between AUCs in predictive value for poor recovery between the Brief IPQ-DLV and the 4DSQ.

Conclusions

Based on the findings of this explorative study, assessing baseline IPs, over and above the known generic prognostic factors, does not result in a substantial improvement in the prediction of poor recovery.

Also, no recommendations can be given for preferring either the 4DSQ or the Brief IPQ-DLV to assess psychological factors.

Development and factor structure of the perceptions of concussion inventory for athletes (PCI-A)

Purpose: This study evaluated the factor structure of the Perceptions of Concussion Inventory for Athletes (PCI-A) using exploratory factor analytic (EFA) techniques in a sample of collegiate student-athletes. Perception differences by sex and sport-related concussion (SRC) risk level were explored.Methods: This cross-sectional-design study included 298 male and 183 female collegiate student-athletes from 18 sports at six institutions. Participants completed a demographic and concussion history survey, and the PCI-A.Results: The EFA revealed a 6-factor solution (Anxiety, Effects, Clarity, Treatment, Control, and Symptom Variability) that accounted for 56.1% of the variance in responses. Female collegiate student-athletes displayed statistically higher levels of Anxiety, Clarity, Symptom Variability, and Control than males. Lower concussion risk sport athletes reported statistically higher levels of anxiety surrounding SRC and concerns relating to the long-term and major effects of an SRC.Conclusions: This study provides evidence that the PCI-A is an acceptable measure to examine the perceptions of collegiate student-athletes regarding SRC. The findings supported a six-factor structure of the PCI-A in the current study for collegiate student-athletes compared to the seven-factor structure indicated in previous research. The findings reveal sex and concussion risk sport differences in PCI-A responses.