The impacts of resilience on the association between illness uncertainty and sleep quality among Chinese women with systemic lupus erythematosus

Illness uncertainty, resilience, and perceived social support among patients with moyamoya disease: a cross-sectional study

Objective

The present study aims to investigate the levels of illness uncertainty in patients with moyamoya disease and to determine the association of socio-demographic characteristics, perceived social support and resilience with illness uncertainty in patients with moyamoya disease.

Method

A cross-sectional survey using convenience sampling was conducted in two hospitals in China from August to December 2023. A socio-demographic characteristics questionnaire, the Chinese versions of Mishel’s Unsurety in Disease Scale (MUIS), the Chinese version of Connor-Davidson Resilience Scale (CD-RISC), and the Chinese version of Multidimensional Scale of Perceived Social Support (MSPSS) were used to perform this research. The collected data were analyzed using SPSS 24.0 statistical software. The t-test, one-way analysis of variance (ANOVA), pearson correlation analysis and hierarchical regression analysis were used to identify associated factors.

Result

A total of 263 patients with moyamoya disease were recruited in this survey. The score of illness uncertainty was at a moderate level of (100.03 ± 18.59). The present study identified a negative correlation between illness uncertainty with resilience perceived social support. Hierarchical regression analysis showed that gender, occupation, education level, resilience and perceived social support were the related factors of illness uncertainty.

Conclusion

Patients with moyamoya disease experienced moderate disease uncertainty on average, which was related to gender, occupation, education level, resilience and perceived social support. Future research is needed to better explore the complex relationships between illness uncertainty, resilience, and perceived social support with different types of moyamoya disease using longitudinal research.

Psychological resilience and quality of life among middle-aged and older adults hospitalized with chronic diseases: multiple mediating effects through sleep quality and depression

BACKGROUND

The present study is intended to examine the multiple mediating roles of sleep quality and depression in the relationship between psychological resilience and quality of life in middle-aged and older adults hospitalized with chronic diseases.

METHODS

From October 2, 2021, to February 27, 2022, a questionnaire survey was conducted using a multistage stratified sampling method among 339 middle-aged and older adults (45 years and over) hospitalized with chronic diseases. These participants were recruited from a hospital in Zhejiang Province, China. The questionnaire included the Aged Cumulative Disease Rating Scale, the Psychological Resilience Scale, the Pittsburgh Sleep Quality Index Scale, the Depression Scale, and the Quality-of-Life Scale. A descriptive analysis was performed to characterize the sample. Linear regression was utilized to evaluate the relationship between psychological resilience and quality of life. Amos 24.0 was used to analyze the multiple mediated effects of sleep quality and depression.

RESULTS

Psychological resilience exerted a remarkable direct effect on the quality of life in middle-aged and older adults hospitalized with chronic diseases (β = 0.239, 95% CI = 0.125-0.354), which represented 52.98% of the total effect. Through three significantly mediated pathways indirectly affect the quality of life: (1) through the sleep quality pathway (β = 0.115, 95% CI = 0.056-0.201), which represented 25.39% of the total effect; (2) through the depression pathway (β = 0. 060, 95% CI = 0.023-0.114), which represented 13.24% of the total effect; and (3) through both the sleep quality and depression pathway (β = 0. 038, 95% CI = 0.019-0.074), which represented 8.39% of the total effect. The total mediating effect was 47.02%.

CONCLUSIONS

Sleep quality and depression mediate the relationship between psychological resilience and quality of life in middle-aged and older adults hospitalized with chronic diseases. Therefore, healthcare professionals and stakeholders should be concerned about the sleep status and mental health of middle-aged and older adults hospitalized with chronic diseases, strengthen their attention to psychological resilience, and provide interventions and treatment measures for hospitalized patients who have sleep problems and depressive tendencies.

State of the art and future directions in assessing the quality of life in rare and complex connective tissue and musculoskeletal diseases

Background

As chronic conditions, rare and complex connective tissue and musculoskeletal diseases (rCTDs) significantly affect the quality of life generating an impact on the physical, psychological, social, and economic dimensions of the patients’ lives, having implications on the family, changing the lifestyle and interpersonal relationships. Traditionally, generic and disease-specific measures for Quality of Life (QoL) provide valuable information to clinicians since QoL affects healthcare services utilization, predicts morbidities and mortalities, workability, etc. Moreover, the assessment of unmet clinical needs, satisfaction, the experience with the treatment and the care, the psychological dimensions, and the effects of the diseases, such as fatigue, could represent valuable dimensions to be considered in the QoL impact assessment. It is also necessary to measure the impact of rCTDs by considering the perspectives of family members/informal caregivers, for instance considering values, beliefs, experiences, life circumstances, psychological aspects, family relationships, economic issues, changes in social activities, etc.

Objective

The aim of this scoping review is to better understand the status of QoL metrics used in clinical and economic research for the assessment of the individual’s perspective on living with rCTDs.

Research question

What are the main challenges in QoL measures (and/or) measurement/assessment in rCTDs?

Materials and methods

Scoping review of the literature referring to QoL measures in rCTDs. Database: PUBMED, ISI-Web of Science; last date: 21/09/2021.

Results

Anxiety and depression, body image satisfaction, daily activity, fatigue, illness perception, pain, personality, QoL, resilience, satisfaction with the relationship, self-management, sexual QoL, sleep quality, social support, stress, uncertainty, and work productivity are the observed dimensions covered by the included studies. However, “more shadows than lights” can summarize the review’s outcome in terms of Patient Reported Outcome Measures (PROMs) domains covered for each of the rCTDs. Also, for those diseases characterized by a relatively high prevalence and incidence, such as Systemic Lupus Erythematosus, Sjögren’s Syndrome, and Systemic Sclerosis, the analysis of patients’ resilience, satisfaction with the quality of the relationship, personality, and stress are still missing dimensions. It has been observed how reducing items, increasing the number of domains, and disease-specific questionnaires characterize the “technological trajectory,” such as the evolution of questionnaires’ characteristics for assessing QoL and QoL-related dimensions and the burden of rCTDs.

Conclusion

The scoping review presents an overview of studies focused on questionnaires used to evaluate the different dimensions of quality of life in terms of general instruments and disease-specific questionnaires. Future research should include the co-design with patients, caregivers, and patient representatives to create questionnaires focused on the unmet needs of people living with rCTDs.

Depression, anxiety, and sleep quality in childhood onset systemic lupus erythematosus and relationship with brain-derived neurotrophic factor

Background

The association between brain-derived neurotrophic factor (BDNF) and systemic lupus erythematosus (SLE) is controversial, and no study investigated the clinical associations of BDNF in patients with childhood onset systemic lupus erythematosus (cSLE). In this study, we aimed to investigate the serum levels of BDNF in patients with cSLE and examine whether a relationship of BDNF exists among depression, anxiety, and sleep quality.

Methods

Thirty patients and age-sex matched healthy controls were included. Depression, anxiety, sleep quality and quality of life were assessed by relevant questionnaires. Disease activity was assessed according to the SLE disease activity index (SLEDAI) and serum BDNF level was measured by the enzyme-linked immunosorbent assay method.

Results

Serum BDNF level was significantly lower in cSLE patients than healthy controls (21981 vs 29905 pg/mL, p = 0.001) and significantly decreased level was observed in active cSLE (SLEDAI >0), then those with SLEDAI = 0 (17110 vs 26852 pg/mL, p = 0.005). Although the scores of the depression, anxiety, sleep quality and quality of life questionnaires were strongly correlated with each other, no correlation was observed with serum BDNF levels.

Conclusions

In patients with cSLE, serum level of BDNF was significantly decreased compared to healthy controls. Our results suggest that serum BDNF levels were not associated with the presence of anxiety, depression and poor sleep quality and might be dictated by the pathophysiological process of SLE rather than mood disorders.

Stigma and illness uncertainty among patients with visible burn scars: A cross-sectional study

The purpose of this research was to understand the current status of stigma and illness uncertainty in patients with visible burns and explore the correlation between them. Measures to help patients alleviate shame and uncertainty in illness are also discussed. A cross-sectional study was conducted in a tertiary hospital from November 2020 to March 2021 for patients with burns on exposed parts of the face, neck, or limbs. The scales used in this study include demographic data questionnaires, the Social Impact Scale (SIS), and the Mishel Uncertainty in Illness Scale for Adults (MUIS-A). A two-tailed independent t-test was used to evaluate the differences in the respondents' sociodemographic characteristics, stigma, and illness uncertainty. The total stigma and illness uncertainty scores of 146 patients were 57.03 ± 6.762 and 68.59 ± 12.901, respectively. Spearman correlation analysis showed that stigma was positively correlated with illness uncertainty (r = 0.398, p < 0.01). Multiple regression analysis showed a relationship between stigma and uncertainty of illness (B = 0.215, p = 0.000), itching (B = 2.555, p = 0.01), residence (B = 2.545, p = 0.029), and age (B = 0.074, p = 0.037). The stigma level of patients with visible burns increased with increasing uncertainty regarding illness. Therefore, reducing the patients' uncertainty in illness is a way to intervene in stigma.

Causal Relationship Between Sleep Traits and Risk of Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study

A correlation between sleep and systemic lupus erythematosus (SLE) has been observed in a number of prior investigations. However, little is known regarding the potential causative relationship between them. In this study, we selected genetic instruments for sleep traits from pooled data from published genome-wide association studies (GWAS). Independent genetic variants associated with six sleep-related traits (chronotype, sleep duration, short sleep duration, long sleep duration, insomnia, and daytime sleepiness) were selected as instrumental variables. A two-sample Mendelian randomization (TSMR) study was first conducted to assess the causal relationship between sleep traits and SLE (7219 cases versus 15,991 controls). The reverse MR analysis was then used to infer the causal relationship between SLE and sleep traits. Inverse variance weighted (IVW), MR Egger, Weighted median, and Weighted mode were applied to perform the primary MR analysis. MR Egger regression and the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) test were used to detect horizontal pleiotropy, and Cochran’s Q was used to detect heterogeneity. In studies of the effect of sleep traits on SLE risk, the IVW method demonstrated no causal relationship between chronotype, sleep duration, short sleep duration, long sleep duration, insomnia, daytime sleepiness and SLE risk. The remaining three methods agreed with the results of IVW. In studies of the effect of SLE on the risk of sleep traits, neither IVW, MR Egger, Weighted median, nor Weighted mode methods provided evidence of a causal relationship between SLE and the risk of sleep traits. Overall, our study found no evidence of a bidirectional causal relationship between genetically predicted sleep traits and SLE.

Mediating Role of Resourcefulness in the Relationship Between Illness Uncertainty and Poststroke Depression

Objectives

To examine the association between illness uncertainty, resourcefulness, and poststroke depression (PSD) and identifies whether stroke patients' resourcefulness plays a mediating role in the relationship between illness uncertainty and PSD.

Methods

A cross-sectional study was conducted from September 2020 to April 2021. A convenience sample of 355 stroke patients was recruited. A general characteristic questionnaire, the Mishel Uncertainty in Illness Scale, the Resourcefulness Scale (RS), and the Patient Health Questionnaire-9 (PHQ-9) were used to obtain data. Descriptive analysis, Student's t-test, Mann-Whitney U-test, chi-squared test, hierarchical regression analyses, Pearson correlation analysis, and mediation analysis with the PROCESS macro were used to analyze the data.

Results

Illness uncertainty, resourcefulness, and PSD were significantly related to each other. Resourcefulness partially mediated the relationship between illness uncertainty and PSD.

Conclusion

Illness uncertainty and resourcefulness were significantly associated with PSD, and resourcefulness played a mediating role between illness uncertainty and PSD. Interventions designed to reduce illness uncertainty and enhance resourcefulness may contribute to the prevention and improvement of PSD.

An evaluation of sleep habits and childhood-onset systemic lupus erythematosus

OBJECTIVES

Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease, known for its heterogeneous clinical presentation. Although it is rarer in children, a more severe clinical course can be seen than in adults. It is known that sleep has physiological and developmental importance in children, and there are many studies on sleep quality in adult SLE patients. The aims of this study are to evaluate the sleep habits of children and adolescents with SLE and to compare them with their healthy peers.

METHODS

The study included 48 children and adolescents with SLE and 64 healthy peers as a control group. The Children's Sleep Habits Questionnaire was used to evaluate the sleep characteristics of children.

RESULTS

The age and gender of the children were similar across groups. The bedtime resistance and night waking scores of SLE patients were significantly higher than those of the control group. Total sleep score was higher in patients with SLE than in the control group, but there was no significant difference (47.13±7.63 vs 44.61±8.17; p=0.051). Similarly, the rate of sleep disorders in the patient group (75%) was higher than that of the control group (61%), though the differences were not statistically significant (p = 0.156). There was no correlation between disease severity and sleep problems.

CONCLUSION

This research demonstrated that sleep disorders tend to increase in children and adolescents with SLE. Therefore, clinicians should pay attention to sleep disorders during the follow-up sessions of children and adolescents with SLE. Key Points • Sleep disorders tend to increase in children and adolescents with SLE. • Disease severity is not associated with sleep problems.

Factors affecting sleep quality in patients with systemic lupus erythematosus

OBJECTIVE

This study aimed to assess the sleep quality and the factors affecting the sleep quality in patients with SLE.

METHODS

This was a descriptive and cross-sectional study conducted in 105 patients with SLE who were admitted to the rheumatology polyclinic of a university hospital between May and July 2017. The data were collected using a "Patient Description Form" and the "Pittsburgh Sleep Quality Index (PSQI)."

RESULTS

The total mean (standard deviation) PSQI score of the patients was 7.81 (3.11). Duration of disease, presence of comorbid diseases, side effects of drugs, and sleep disruption and related problems were identified as factors affecting sleep quality. The model of the regression showed that side effects of drugs, sleep disruption, and trouble falling asleep suffered higher PSQI score (bad sleep quality).

CONCLUSIONS

Results of this study showed that the sleep quality was generally poor in patients with SLE. Sleep quality was affected by some disease and sleep variables. Therefore, comprehensive sleep evaluation is necessary in the planning of treatment and care of SLE patients and to implement initiatives to improve sleep patterns in these patients.

Resilience in women with primary Sjögren's syndrome

To assess the relationship between resilience and several diseases and individual features in primary Sjӧgren's Syndrome (SS) patients. Resilience was assessed using the Resilience Scale (RS-14). Disease activity, damage, and reported symptoms were assessed by means of ESSDAI (EULAR Sjögren's syndrome disease activity index), SSDDI (Sjӧgren's Syndrome Disease Damage Index) and ESSPRI (EULAR Sjӧgren's Syndrome Patient Reported Index). EuroQol, HADS (Hospital Anxiety and Depression Scale), SF-12 (Short-form 12 health survey), FAS (Fatigue Assessment Scale), FACIT-F (Functional Assessment of Chronic Illness Therapy - Fatigue), and IPAQ (International Physical Activity Questionnaire) questionnaires were submitted to evaluate physical and mental well-being of the recruited patients. Data about the autoimmune profile, systemic manifestations, and current therapy were collected. Educational qualifications and work activities were also considered. Descriptive, correlational, and linear regression analysis were performed. 74 consecutive women with primary SS and 74 sex and age-matched healthy subjects as a control group were recruited. SS patients displayed a moderate value of resilience (median 78.5) with no significant difference compared to controls (p = 0.38). An inverse relationship was found between resilience and mood disorders such as anxiety (p = 0.038) and depression (p < 0.001). Greater resilience was associated with a better perception of the quality of life (p = 0.02) and general health (p < 0.001), as well as with less fatigue (p = 0.008) and a more physically active lifestyle (p = 0.001). No significant relationship was found neither between resilience and age, socio-demographic and disease characteristics, nor with ESSDAI (p = 0.26), ESSPRI (p = 0.83) and SSDDI (p = 0.67). This is the first study assessing resilience in a large group of unselected primary SS patients. Most resilient primary SS patients are less depressed and show a better perception of their health. Greater resilience tends to correlate with less anxiety, physical and mental fatigue, and a more active lifestyle, while no association with disease activity and duration, damage, and socio-demographic features was detected. Considering the well-known role of resilience in helping to better cope with chronic illnesses, its assessment in SS patients should not be overlooked and the possible strategies for its improvement should be better explored and further implemented.

Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

Background

Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients.

Methods

Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model.

Results

A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions.

Conclusion

Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.