The relations of quality of life in patients with lupus erythematosus: Regression models versus qualitative comparative analysis

Evaluation of personality disorders using the structured clinical interview for DSM-5 personality disorders, quality of life, and disease activity in patients with systemic lupus erythematosus

Objectives

This study aims to determine the frequency of personality disorders in patients with systemic lupus erythematosus (SLE) and healthy volunteers and to compare SLE patients with and without personality disorders in terms of quality of life (QoL) and other clinical and laboratory findings.

Patients and methods

Between January 2021 and March 2021, a total of 64 patients (17 males, 47 females; mean age: 42.9±10.8 years; range, 21 to 62 years) who were diagnosed with SLE and 68 age- and sex-matched healthy volunteers (20 males, 48 females; mean age: 40.9±10.6 years; range, 21 to 65 years) without any known disease were included. The Nottingham Health Profile (NHP) was filled in to evaluate the QoL for all participants. For the diagnosis of personality disorder, the Structured Clinical Interview For DSM-5 Personality Disorders (SCID-5PD) form was used. Clinical and laboratory findings of patients with SLE were noted and disease activity index (SLEDAI) was calculated. Clinical and laboratory variables that may affect personality disorder were evaluated.

Results

The prevalence of personality disorder in SLE patients was significantly higher than the control group (39.1% vs. 11.8%, respectively; p<0.001). In terms of the subgroups of personality disorders detected in SLE, only the prevalence of obsessive-compulsive personality disorder was significantly higher than the control group (26.6% vs. 10.3%, respectively; p=0.015). The frequency of personality disorder increased, as the education level decreased, the duration of SLE disease increased, and with antiphospholipid autoantibodies positivity in patients with SLE (p<0.05). The mean NHP total score was 126.1±55.1 in SLE patients with personality disorder and 62.9±43.8 in patients without personality disorder, indicating that the QoL of SLE patients with personality disorder was worse than those without personality disorder (p<0.001).

Conclusion

The frequency of personality disorder in SLE seems to be higher than in the control group. Quality of life is adversely affected in SLE patients with personality disorders. Therefore, clinicians should be alert for personality disorders that may accompany SLE and fight with personality disorder with early diagnosis and optimal treatment.

The impact of distress disclosure and anxiety on the association between social support and quality of life among Chinese women with systemic lupus erythematosus

The evidence on the relationship between social support and quality of life in female systemic lupus erythematosus (SLE) patients is complex. The purpose of this study was to explore the impacts of distress disclosure and anxiety on the association between social support and quality of life among Chinese women with SLE. A cross-sectional study was conducted, and 237 samples were obtained. Measures included demographic characteristics, Lupus Quality of Life (LupusQoL), social support rate scale (SSRS), distress disclosure index (DDI), and self-rating anxiety scale (SAS). Descriptive statistics, correlation analysis, and moderated mediating effect analysis were carried out. The LupusQoL was negatively correlated with age, systemic lupus erythematosus disease activity index (SLEDAI), DDI, and SAS. SSRS had a positive predictive effect on the LupusQoL, while SLEDAI and DDI had the opposite effect. SAS had a negative predictive effect on the LupusQoL. There were interactive effects of SAS and DDI on LupusQoL. In the moderated mediation model, SAS played moderating effect in the role of DDI on LupusQoL; the DDI of female patients with SLE played a partial mediator role, the mediation effect was 0.19, and the mediation effect ratio was 33.3%. In conclusion, to pay attention to the QOL, we should consider the mediator role of distress disclosure and the moderating role of anxiety.

Quality of life measures in Systemic Lupus Erythematosus: A systematic review

In this study we systematically investigated the health-related quality of life (HRQoL) tools, which have been most often used over the last five years to evaluate the QoL in patients with systemic lupus erythematosus (SLE), focusing on their items and applications. A detailed literature search was conducted: the inclusion criteria were as follows: 1) studies including at least 50 patients; 2) studies including at least 25 patients with SLE; 3) quality of life testing with validated measures. The systematic review was based on 119 studies for a total of 32,449 SLE patients and 3092 controls. A total of 35 different patients-reported quality of life measures, applied in cohorts of patients with SLE, were retrieved with the 36-item Medical Outcome Short Form (SF-36) (63 studies of 119 =52.95%), Lupus Quality of Life (LupusQoL) (17 studies =14.3%) and Lupus Patient-Reported Outcome (LupusPRO) (12 studies =10%) being the most commonly used tools. Overall, this systematic review of the literature indicated that quality of life in patients with SLE appears to be poor and generally lower compared to both the general population and patients with other chronic conditions, as was shown by a few studies that used SF-36 and LupusPRO. The use of HRQoL scoring in SLE is gaining increasing interest and is used both in randomized controlled trials and in real-life. Future efforts are needed to improve the understanding of the impact of the disease burden on quality of life from the patient’s perspective.

The use of Qualitative Comparative Analysis (QCA) to address causality in complex systems: a systematic review of research on public health interventions

Background

Qualitative Comparative Analysis (QCA) is a method for identifying the configurations of conditions that lead to specific outcomes. Given its potential for providing evidence of causality in complex systems, QCA is increasingly used in evaluative research to examine the uptake or impacts of public health interventions. We map this emerging field, assessing the strengths and weaknesses of QCA approaches identified in published studies, and identify implications for future research and reporting.

Methods

PubMed, Scopus and Web of Science were systematically searched for peer-reviewed studies published in English up to December 2019 that had used QCA methods to identify the conditions associated with the uptake and/or effectiveness of interventions for public health. Data relating to the interventions studied (settings/level of intervention/populations), methods (type of QCA, case level, source of data, other methods used) and reported strengths and weaknesses of QCA were extracted and synthesised narratively.

Results

The search identified 1384 papers, of which 27 (describing 26 studies) met the inclusion criteria. Interventions evaluated ranged across: nutrition/obesity (n = 8); physical activity (n = 4); health inequalities (n = 3); mental health (n = 2); community engagement (n = 3); chronic condition management (n = 3); vaccine adoption or implementation (n = 2); programme implementation (n = 3); breastfeeding (n = 2), and general population health (n = 1). The majority of studies (n = 24) were of interventions solely or predominantly in high income countries. Key strengths reported were that QCA provides a method for addressing causal complexity; and that it provides a systematic approach for understanding the mechanisms at work in implementation across contexts. Weaknesses reported related to data availability limitations, especially on ineffective interventions. The majority of papers demonstrated good knowledge of cases, and justification of case selection, but other criteria of methodological quality were less comprehensively met.

Conclusion

QCA is a promising approach for addressing the role of context in complex interventions, and for identifying causal configurations of conditions that predict implementation and/or outcomes when there is sufficiently detailed understanding of a series of comparable cases. As the use of QCA in evaluative health research increases, there may be a need to develop advice for public health researchers and journals on minimum criteria for quality and reporting.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10926-2.

Predicting health-related quality of life in Spanish adolescents with allergic rhinoconjunctivitis and bronchial asthma

This study analyzed the predictive power of sociodemographic (age, sex) and medical variables (months since diagnosis and in treatment, immunotherapy, number of environmental allergens, food allergies or atopic dermatitistypes) on the quality of life of patients with rhinoconjunctivitis and bronchial asthma, using models based on comparative qualitative fuzzy analysis to compare them according to the pathology(s).Retrospective cross-sectional design.Sixty-four adolescents (65.60% boys) diagnosed with rhinoconjunctivitis and/or bronchial asthma aged between 12 and 16 years old (M= 14.02; SD = 1.45).The data were collected between February 2019 and January 2020 using the Brief Disease Perception Questionnaire (B-IPQ), the Adolescent Rhinoconjunctivitis Quality of Life Questionnaire (AdolRQoLQ) and the Respiratory Disease Questionnaire Self-administered and Standardized Chronicle (CRQ-SAS). Qualitative comparative analysis models (QCA) were used.In the QCA models, the various combinations indicated that the variables that predicted a higher quality of life for both rhinocojuntivitis symptoms and respiratory symptoms were receiving longer-term immunotherapy and a perceived lower threat of the disease. The consistencies of the models vary between 23-29%. In conclusion, the patients' QoL was explained by the presence of longer-term immunotherapy and a less threatening perception of the disease.Therefore, early multidisciplinary diagnosis and treatment is important.

I'm Not Good for Anything and That's Why I'm Stressed: Analysis of the Effect of Self-Efficacy and Emotional Intelligence on Student Stress Using SEM and QCA

Stress negatively affects the well-being and the quality of life of the society. Specifically in the academic context, it is relevant to analyze its levels due to its impact on performance and learning. There are factors that affect the said stress including, among others, self-efficacy, and emotional intelligence. The purpose of this study is to analyze how emotional intelligence and perceived self-efficacy affect student stress. In order to show this influence, two complementary methodologies are implemented: the structural equation models (SEMs) and the comparative qualitative analysis (QCA). A total of 477 students (85% of women) from a private University of Valencia participated in the study, with ages ranging from 18 to 53 years old (M = 21.57, SD = 3.68). The assessment instruments used were as follows: Emotional Intelligence Scale (TMMS-24) to measure emotional intelligence; General Self-Efficacy Scale (GSS) to measure self-efficacy; and Perceived Stress Scale (PSS) to measure stress. The results in the SEM endorse the hypotheses that emotional clarity and self-efficacy are negatively related to stress and positively related to emotional attention (EA), explaining 25% of the variance. The QCA results show that none of the variables is a necessary condition for inducing stress. Nevertheless, different combinations of these variables are sufficient conditions to explain 35% of the high stress levels. The most important combination over high stress levels seems to be the interaction between high levels of EA and low levels of self-efficacy. Regarding the low levels of perceived stress, there are sufficient conditions to explain 50% of them. Mainly, the most important interaction is between low levels of self-efficacy and low levels of EA. The comparison of both methodologies enables the broadening of new horizons at the methodological level applicable to different contexts.