The association between social support and depression among patients with vitiligo in China

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

INTRODUCTION AND AIMS

In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses.

METHODS

A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software.

RESULTS

Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes.

CONCLUSIONS

Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.

Association of childhood trauma, social support, cognition, and suicidality in females with bipolar disorder

BACKGROUND

Bipolar disorder (BD) is a severe mental disorder with heavy disease burden. Females with BD are special populations who suffer a lot from childhood trauma, social support, cognitive deficits, and suicidality. In this study, the relationship among childhood trauma, social support, and clinical symptoms of BD was investigated and the risk factors for suicidality were explored in female patients with BD.

METHODS

This study included 57 drug-naive female BD patients, 64 female BD patients with long-term medication, and 50 age-matched female healthy controls. Childhood trauma, social support, clinical symptoms, cognition, and suicidality (suicide ideation, suicide plan, suicide attempt, suicide frequency) were measured with scales.

RESULTS

Compared with healthy controls, females with BD showed higher levels of childhood trauma and suicidality, and lower levels of social support and cognitive deficits. In the drug-naïve BD group, social support mediated the relationship between childhood trauma and insomnia symptoms (indirect effect: ab = 0.025). In the BD with long-term medication group, mania symptom was associated with suicide plan (OR = 1.127, p = 0.030), childhood trauma was associated with suicide attempt (OR = 1.088, p = 0.018), and years of education (OR = 0.773, p = 0.028), childhood trauma (OR = 1.059, p = 0.009), and delayed memory (OR= 1.091, p= 0.016) was associated with suicide frequency (OR = 1.091, p = 0.016).

CONCLUSIONS

This study provides initial evidence that social support partially explains the relationship between childhood trauma and clinical symptoms in females with BD. Additionally, mania symptoms, childhood trauma, and delayed memory were risk factors for suicidality. Interventions providing social support and improving cognitive function may be beneficial for females with BD who are exposed to childhood trauma and with high suicide risk.

Application Effect of Comprehensive Noise Reduction Technology in Outpatients with Vitiligo: A Retrospective Study

OBJECTIVE

Noise is a kind of perceived public nuisance that is closely related to people's subjective feelings and lives. This study explores the clinical application effect of comprehensive noise reduction technology in outpatients with vitiligo.

METHODS

A total of 76 patients with vitiligo were selected in the Department of Dermatology at Baoding No. 2 Central Hospital from January 2020 to January 2021, as the control group (CG), receiving 5S management mode, and 80 patients with vitiligo from February 2021 to October 2022 were selected as the study group (SG), receiving comprehensive noise reduction technology combined with the 5S management mode for this retrospective study. The effects of different management modes on these patients were observed.

RESULTS

SG had higher nursing quality scores in service attitude, service initiative, communication skills, environmental management and item management and overtly a lower noise level than CG (all P < 0.001). The Hamilton Anxiety Scale (HAMA) scores of the two groups at the end of treatment were significantly lower than those on admission (P < 0.05), with SG showing a lower score than CG (P < 0.001). Correlation analysis showed that noise levels and HAMA scores had a positive correlation (r = 0.423, P < 0.001). Patients with negative feelings about medical treatment caused by various noise sources in SG were obviously less than those in CG (P < 0.05). Both the groups had a statistical difference in overall satisfaction (P < 0.05).

CONCLUSION

The investigation and data analysis demonstrated that comprehensive noise reduction in outpatients with vitiligo had a considerable effect. This technology can standardise the behaviour of medical staff, enhance nursing quality, reduce noise levels and alleviate patients' anxiety and improve their satisfaction. It has great benefits for the outpatient environment and patients.

Exploratory axis factoring for identifying the self-esteem latent factors and their correlation with the life quality of persons suffering from vitiligo

Objective

Our research aimed to measure the importance of self-esteem in assessing the disease burden in patients with vitiligo, which, according to our knowledge, had not been studied earlier. The purpose of this research study was to expand the state of knowledge regarding the influence of vitiligo on the quality of patients' life, with a particular focus on their self-esteem. We have formulated the following two hypotheses which include H1: two latent factors characterize the self-esteem of patients with vitiligo; H2: the self-esteem of the patients with Vitiligo is correlated with their life quality, by influencing it to a high degree.

Methods

We have used two validated questionnaires called Rosenberg (Q1), for the evaluation of self-esteem (for proving H1), and Dermatology Life Quality Index (DLQI) (Q2), to measure the health-related quality of life of patients (for proving H2). Both questionnaires with 10 questions were applied to the same set of 114 carefully selected patients with no missing values to questions. An in-depth statistical and reliability analysis was performed on the outcomes provided by Q1, applying a scale and subscale reliability analysis, using the Cronbach's alpha reliability indicator (Cα). An exploratory analysis called Principal Axis Factoring (PAF) with Oblimin with Kaiser Normalization rotation was applied to prove H1, verifying the assumptions regarding the average variance extracted (AVE) and convergent and discriminant validity (CDV). A scale reliability analysis of outcomes provided by Q2 was performed for proving H2, by calculating Cα. Additionally, a nonparametric correlation analysis was performed, by calculating the Spearman r correlation coefficient between the Rosenberg index and DLQI index, and the 95% confidence interval (CI).

Results

Based on the provided data, the value of Cα obtained in Q1 was 0.84. As a result of applying PAF on Q1, H1 has been proven and two latent factors of self-esteem have been extracted. These factors were named competence (eigenvalue = 4.126; 41.258% of total variance explained) and value (eigenvalue = 1.857; 18.57% of total variance explained). For the two subscales determined by the two factors, we have obtained the Cα values of 0.848 and 0.8, all indicating good reliability. For testing H2, on Q2 data we obtained Cα = 0.914. The Spearman correlation coefficient r = -0.734 (p < 0.0001), between the self-esteem questionnaire evaluation result and the life-quality index result indicated the existence of a strong negative correlation, which is significant according to 95% CI [-0.81, -0.63].

Discussion

The study focused on analyzing the self-esteem of patients with vitiligo. In addition, the psychometric properties of the Q1 questionnaire were analyzed and Q1 proved to have good internal consistency. PAF indicated a two-factorial structure, with factors called competence and value, proving H1, with a moderate correlation of 0.427 between the two latent constructs. The competence factor includes motivation, self-efficacy, initiative, and persistence in action. The value factor is much more complex, indicating a feeling, a personal evaluation, or a positive or negative attitude toward one's person, which better captures the entire phenomenology of self-esteem. The statistical analysis of the results provided by the self-esteem questionnaire included questions that proved to be internally consistent. The AVE and CDV assumptions were met. Q2 was proved to have excellent scale reliability. H2 proved a statistically significant strong negative correlation between the Rosenberg score and DLQI score.

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: A cross-sectional study

This cross-sectional study aimed to identify latent mental health subgroups of reproductive-aged women with polycystic ovary syndrome (PCOS) and examine differences in emotion regulation and social support. A total of 477 samples (age = 27.22 ± 5.37) diagnosed with PCOS were included in this study, all of whom were of the same ethnicity. Latent profile analysis (LPA) was conducted in Mplus version 8.3 to identify mental health latent profiles in women with PCOS based on the dual-factor approach. The current study identified three distinct mental health profiles within women with PCOS: High-Symptom and High-Well-being Profile, Low-Symptom and High-Well-being Profile, and High-Symptom and Low-Well-being Profile, with group proportions of 52.3%, 35.7%, and 11.1%, respectively. This study revealed that cognitive reappraisal and social support are important protective factors for the mental health of women with PCOS, whereas expressive suppression is a negative factor for their mental health.