Burden of alopecia areata in China, 1990-2021: Global Burden of Disease Study 2021

BACKGROUND

Research has indicated that the disease burden of alopecia areata (AA) in China exceeds the global average. Therefore, accurate and updated epidemiological information is crucial for policymakers. In this study, we aimed to comprehensively assess the disease burden of AA in China.

METHODS

The following four key indicators were utilized: the prevalence of cases; disability-adjusted life-years (DALYs); the age-standardized prevalence rate (ASPR); and the age-standardized DALY rate (ASDR) of AA according to the Global Burden of Disease (GBD) study 2021. We analyzed the epidemiological burden of AA in China during 2021, examined changes between 1990 and 2021, and performed a Bayesian age-period-cohort analysis to predict trends over the course of the next decade (2022-2030). Additionally, a Gaussian process regression model was applied to estimate the relationship between the gross domestic product (GDP) and the ASPR and ASDR of AA at the provincial level between 1992 and 2021.

RESULTS

In 2021, the estimated number of patients with AA in China was approximately 3.49 million (95% uncertainty interval [UI], 3.37-3.62 million); of these patients, 1.20 million (1.16-1.25 million) were male and 2.29 million (95% UI, 2.20-2.37 million) were female. This large number of patients with AA resulted in a total of 114,431.25 DALYs (95% UI, 74,780.27-160,318.96 DALYs). Additionally, the ASPR and ASDR were 224.61 per 100,000 population (95% UI, 216.73-232.65 per 100,000 population) and 7.41 per 100,000 population (95% UI, 4.85-10.44 per 100,000 population), respectively; both of these rates were higher than the global averages. The most affected demographic groups were young and female individuals 25-39 years of age. Slight regional disparities were observed, with the northern and central regions of China bearing comparatively higher burdens. Between 1990 and 2021, the health loss and disease burden caused by AA in China remained relatively stable. The ASPR and ASDR of AA increased with the GDP when the annual GDP was less than 2 trillion yuan; however, a downward trend was observed as the GDP surpassed 2 trillion yuan. A slight upward trend in the disease burden of AA in China is predicted to occur over the next decade.

CONCLUSIONS

AA continues to be a public health concern in China that shows no signs of declining. Targeted efforts for young individuals and females are necessary because they experience a disproportionately high burden of AA.

Investigating the Role of BDNF in Insomnia: Current Insights

Insomnia is a common disorder defined as frequent and persistent difficulty initiating, maintaining, or going back to sleep. A hallmark symptom of this condition is a sense of nonrestorative sleep. It is frequently associated with other psychiatric disorders, such as depression, as well as somatic ones, including immunomediated diseases. BDNF is a neurotrophin primarily responsible for synaptic plasticity and proper functioning of neurons. Due to its role in the central nervous system, it might be connected to insomnia of multiple levels, from predisposing traits (neuroticism, genetic/epigenetic factors, etc.) through its influence on different modes of neurotransmission (histaminergic and GABAergic in particular), maintenance of circadian rhythm, and sleep architecture, and changes occurring in the course of mood disturbances, substance abuse, or dementia. Extensive and interdisciplinary evaluation of the role of BDNF could aid in charting new areas for research and further elucidate the molecular background of sleep disorder. In this review, we summarize knowledge on the role of BDNF in insomnia with a focus on currently relevant studies and discuss their implications for future projects.

Overview of the Circadian Clock in the Hair Follicle Cycle

The circadian clock adapts to the light-dark cycle and autonomously generates physiological and metabolic rhythmicity. Its activity depends on the central suprachiasmatic pacemaker. However, it also has an independent function in peripheral tissues such as the liver, adipose tissue, and skin, which integrate environmental signals and energy homeostasis. Hair follicles (HFs) maintain homeostasis through the HF cycle, which depends heavily on HF stem cell self-renewal and the related metabolic reprogramming. Studies have shown that circadian clock dysregulation in HFs perturbs cell cycle progression. Moreover, there is increasing evidence that the circadian clock exerts a significant influence on glucose metabolism, feeding/fasting, stem cell differentiation, and senescence. This suggests that circadian metabolic crosstalk plays an essential role in regulating HF regeneration. An improved understanding of the role of the circadian clock in HFs may facilitate the discovery of new drug targets for hair loss. Therefore, the present review provides a discussion of the relationship between the circadian clock and HF regeneration, mainly from the perspective of HF metabolism, and summarizes the current understanding of the mechanisms by which HFs function.

Sleep quality in men with androgenetic alopecia

PURPOSE

Sleep disturbances affect human health and contribute to several comorbidities. In men, androgenetic alopecia (AGA) is a common, non-scarring form of hair loss that affects a patient's self-esteem. There are limited data regarding the association between poor sleep quality and male AGA. We aimed to compare the prevalence of sleep abnormalities between male patients with AGA and controls to identify an association between the two conditions.

METHODS

A case-control study on patients with AGA and age-matched controls was conducted. Participants completed a standardized questionnaire that contained self-evaluated sleep measures, including Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and STOP-BANG questionnaire. Patients with AGA were classified into mild, moderate, and severe subgroups according to the Hamilton-Norwood classification for stratified analyses. Data between groups and among subgroups were compared.

RESULTS

Of 446 male participants, 223 (50%) were in the AGA group, and the remainder (50%) were in the control group. Multivariable logistic regression analysis revealed that hypertension (odds ratio [OR] = 1.90, 95% confidence interval [CI] = 1.16-3.11, p = 0.011) and STOP-BANG score ≥ 5 (OR = 2.05, 95%CI = 1.15-3.66, p = 0.015) were associated with AGA. For subgroup analyses, ordinal logistic regression model showed a significant association between severe AGA and three sleep profiles, namely total sleep time ≤ 6 h (OR = 2.16, 95%CI = 1.02-4.57, p = 0.044), PSQI > 5 (OR = 3.72, 95%CI = 1.42-9.72, p = 0.008), and STOP-BANG score ≥ 5 (OR = 3.01, 95%CI = 1.11-8.13, p = 0.030).

CONCLUSION

Our findings revealed an association between sleep disturbances and AGA, which may help guide appropriate management in these patients.

Potential effects of shift work on skin autoimmune diseases

Shift work is associated with systemic chronic inflammation, impaired host and tumor defense and dysregulated immune responses to harmless antigens such as allergens or auto-antigens. Thus, shift workers are at higher risk to develop a systemic autoimmune disease and circadian disruption with sleep impairment seem to be the key underlying mechanisms. Presumably, disturbances of the sleep-wake cycle also drive skin-specific autoimmune diseases, but epidemiological and experimental evidence so far is scarce. This review summarizes the effects of shift work, circadian misalignment, poor sleep, and the effect of potential hormonal mediators such as stress mediators or melatonin on skin barrier functions and on innate and adaptive skin immunity. Human studies as well as animal models were considered. We will also address advantages and potential pitfalls in animal models of shift work, and possible confounders that could drive skin autoimmune diseases in shift workers such as adverse lifestyle habits and psychosocial influences. Finally, we will outline feasible countermeasures that may reduce the risk of systemic and skin autoimmunity in shift workers, as well as treatment options and highlight outstanding questions that should be addressed in future studies.

Hair Follicles as a Critical Model for Monitoring the Circadian Clock

Clock (circadian) genes are heterogeneously expressed in hair follicles (HFs). The genes can be modulated by both the central circadian system and some extrinsic factors, such as light and thyroid hormones. These circadian genes participate in the regulation of several physiological processes of HFs, including hair growth and pigmentation. On the other hand, because peripheral circadian genes are synchronized with the central clock, HFs could provide a noninvasive and practical method for monitoring and evaluating multiple circadian-rhythm-related conditions and disorders among humans, including day and night shifts, sleep-wake disorders, physical activities, energy metabolism, and aging. However, due to the complexity of circadian biology, understanding how intrinsic oscillation operates using peripheral tissues only may be insufficient. Combining HF sampling with multidimensional assays such as detection of body temperature, blood samples, or certain validated questionnaires may be helpful in improving HF applications. Thus, HFs can serve as a critical model for monitoring the circadian clock and can help provide an understanding of the potential mechanisms of circadian-rhythm-related conditions; furthermore, chronotherapy could support personalized treatment scheduling based on the gene expression profile expressed in HFs.

Integrative and Mechanistic Approach to the Hair Growth Cycle and Hair Loss

The hair cycle is composed of four primary phases: anagen, catagen, telogen, and exogen. Anagen is a highly mitotic phase characterized by the production of a hair shaft from the hair follicle, whereas catagen and telogen describe regression and the resting phase of the follicle, respectively, ultimately resulting in hair shedding. While 9% of hair follicles reside in telogen at any time, a variety of factors promote anagen to telogen transition, including inflammation, hormones, stress, nutritional deficiency, poor sleep quality, and cellular division inhibiting medication. Conversely, increased blood flow, direct stimulation of the hair follicle, and growth factors promote telogen to anagen transition and subsequent hair growth. This review seeks to comprehensively describe the hair cycle, anagen and telogen balance, factors that promote anagen to telogen transition and vice versa, and the clinical utility of a variety of lab testing and evaluations. Ultimately, a variety of factors impact the hair cycle, necessitating a holistic approach to hair loss.

Two-way association between alopecia areata and sleep disorders: A systematic review of observational studies

Background

Alopecia Areata (AA) is found to be the most prevalent autoimmune disorder amongst the general population. It was observed that AA patients are at a significantly higher risk of developing obstructive sleep apnea and non-apneic insomnia than patients without AA. On the contrary, patients with identified sleep disorders were found to be more prone to developing AA as compared to the patients without sleep disorders. This study, therefore, validated the hypothesis of a bidirectional association between AA and sleep disorders.

Aims

In this systematic review, our primary aim is to assess the prevalence of sleep disorders in Alopecia Areata patients while also assessing the inverse relationship between the two disorders.

Methods

A literature search of MEDLINE, Google Scholar and Cochrane CENTRAL was performed from their inception to April 2022. Articles were selected for inclusion if they met the following eligibility criteria: (a) Studies enrolling patients having alopecia areata to assess the sleep quality. (b) Studies assessing the risks of alopecia areata in individuals with sleep disorder (c) Studies evaluating the bidirectional association between alopecia areata and sleep quality. Case reports, commentaries, and editorials were excluded. The outcomes of recruited studies were qualitatively synthesised and study findings are summarized in the results section and tabulated in summary tables.

Results

Our search on electronic databases yielded 1562 articles. After abstract screening and full text review, 5 cross sectional and 3 cohort studies are included in this systematic review. Cases with PSQI scores higher than 5 and 6 were found to be in greater numbers amongst the AA patient population when compared to the control population (p < 0.001). Moreover, studies showed that patients with sleep disorders were greatly predisposed to develop subsequent AA as compared to patients without sleep disorders (aHR 4.70; 95% CI 3.99-5.54) (P < 0.0001).

Conclusion

The findings from our results display a significant bi-directional cause-effect relation between AA and sleep disorders. However, more large-scale observational studies on this subject are required to further validate our findings.

The Impact of Sleep Quality on Mood Status and Quality of Life in Patients with Alopecia Areata: A Comparative Study

Alopecia Areata (AA) is a chronic condition which has been associated with poor quality of life and mood status disturbances. The aim of this study is to compare the sleep quality between AA patients and controls, and to analyze the impact of poor sleep quality on patients with AA regarding mood status disturbances, quality of life and sexuality. A cross-sectional study including patients suffering from mild-to-severe AA and sex- and age-matched healthy controls was performed. Socio-demographic and clinical variables, sleep quality, quality of life, sexual disfunction, anxiety, depression and personality were collected using validated questionnaires. A total of 120 participants (60 patients and 60 controls) were included. Patients with AA showed worse sleep scores than controls (p = 0.003), as well as higher rates of anxiety and depression (p < 0.05). After a multivariate analysis, a worse sleep quality was found to be linked to anxiety, depression, a poorer quality of life and a type D personality score independently of the disease severity. In light of the results, patients with AA have a worse sleep quality than healthy controls. A poor sleep quality is associated with anxiety, depression and a worse quality of life, therefore being a general marker of a poor quality of life. Screening for sleep disturbances in specialized units could be useful to detect patients who could benefit from additional psychological support.

The Role of Brain-Derived Neurotrophic Factor in Immune-Related Diseases: A Narrative Review

Brain-derived neurotrophic factor (BDNF) is a neurotrophin regulating synaptic plasticity, neuronal excitability, and nociception. It seems to be one of the key molecules in interactions between the central nervous system and immune-related diseases, i.e., diseases with an inflammatory background of unknown etiology, such as inflammatory bowel diseases or rheumatoid arthritis. Studies show that BDNF levels might change in the tissues and serum of patients during the course of these conditions, e.g., affecting cell survival and modulating pain severity and signaling pathways involving different neurotransmitters. Immune-related conditions often feature psychiatric comorbidities, such as sleep disorders (e.g., insomnia) and symptoms of depression/anxiety; BDNF may be related as well to them as it seems to exert an influence on sleep structure; studies also show that patients with psychiatric disorders have decreased BDNF levels, which increase after treatment. BDNF also has a vital role in nociception, particularly in chronic pain, hyperalgesia, and allodynia, participating in the formation of central hypersensitization. In this review, we summarize the current knowledge on BDNF's function in immune-related diseases, sleep, and pain. We also discuss how BDNF is affected by treatment and what consequences these changes might have beyond the nervous system.

Potential Role of Sleep Deficiency in Inducing Immune Dysfunction

Sleep deficiency and insomnia deteriorate the quality of patients’ lives, yet the exact influence of these factors on the immune system has only begun to gain interest in recent years. Growing evidence shows that insomnia is a risk factor for numerous diseases, including common infections and autoimmune diseases. Levels of inflammatory markers also seem to be abnormal in sleep deficient individuals, which may lead to low-grade inflammation. The interpretation of studies is difficult due to the equivocal term “sleep disturbances,” as well as due to the various criteria used in studies. This narrative review aims to summarize the available knowledge regarding the bidirectional influence of the immune system and sleep disturbances.

Italian Validation of the Pittsburgh Sleep Quality Index (PSQI) in a Population of Healthy Children: A Cross Sectional Study

Background: Sleep disorders are one of the most discussed topics in scientific literature every year. Although they are one of the most studied topics, in both adults and children, knowledge of sleep disorders and their treatment is still not completely clear, and there is a need to deepen and analyze these disorders on a country-by-country basis. However, research in the Italian literature reveals a scarce quantity of tools to evaluate sleep quality in children. The Pittsburgh Sleep Quality Index (PSQI) is probably the most commonly used retrospective self-assessment questionnaire in the adult population. Purpose: We aimed to validate and analyze the psychometric characteristics of this tool in order to detect and explore the presence of sleep disorders in a healthy Italian population of children throughout the country. Methods: Individuals aged between 3 and 16 years without symptoms of insomnia were included in this study. The reliability and construct validity of the PSQI were assessed according to Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines. Results: We enrolled 222 individuals in this study (mean age 11 years). The PSQI demonstrated good internal consistency (Cronbach’s α = 0.719). Test–retest reliability was assessed on a randomized subgroup of the sample (n = 35). The PSQI showed good test–retest reliability with an intraclass correlation coefficient of 0.829 for the total score (95% confidence interval: 0.662–0.914). The Pearson correlation coefficient, used for construct validity, showed a statistically significant positive correlation with the Sleep Disturbance Scale for Children (SDSC). Conclusion: The PSQI proved to be a very reliable and valid tool to investigate sleep experiences in children.

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.

Sleep disturbance in alopecia areata: A cross-sectional study

Background

Alopecia areata (AA) is a nonscarring hair loss with autoimmune pathophysiology, which is associated with psychiatric disorders including anxiety and depression. Sleep disorders are commonly seen with anxiety and depression. Here we evaluate the sleep quality of AA patients.

Methods

This cross-sectional study involved 51 AA patients and 51 age- and sex-matched healthy controls. The sleep quality and day sleepiness were evaluated by the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaires. The severity of AA was evaluated with the Severity of Alopecia Tool (SALT).

Results

Unlike the ESS score, the mean PSQI score was significantly higher in the AA group compared with the controls (7 ± 4.13 vs. 3.53 ± 1.96, p < 0.001). The number of cases with ESS ≥ 11, indicating the excess daytime sleepiness, was significantly higher in the AA group compared with controls (15 vs. 6, p = 0.02). There was no significant correlation between PSQI score and age, age of onset of the disease, or SALT score (p > 0.05). Anxiety and depression were more common in the AA group versus controls (p = 0.9). PSQI score was higher in AA patients who had anxiety and depression compared with those who did not (9.9 ± 5.28 vs. 4.76 ± 3.08, p = 0.001).

Conclusion

Sleep quality is impaired in AA patients. As expected, sleep would be more disturbed in AA cases with depression or anxiety. Therefore, attention to sleep quality and concomitant psychiatric diseases is essential in AA clinical management.

Post-Traumatic Stress in Vitiligo Patients: A Neglected but Real-Existing Psychological Impairment

Background

Vitiligo is the most common depigmentation disorder. This disease causes disfiguration and induces psychological burdens, leading to significantly impaired quality of life. Limited research about disease-related post-traumatic stress (PTS) has been conducted in vitiligo patients.

Objective

To evaluate the prevalence, severity, and risk factors of post-traumatic stress in vitiligo patients.

Methods

This case-control study was performed from January 2021 to April 2021. A survey questionnaire including baseline information, post-traumatic stress symptoms evaluation, life quality evaluation was conducted. According to the severity of post-traumatic stress symptoms, patients were grouped and compared. The logistic regression model was conducted to analyze the risk factors for post-traumatic stress disorder (PTSD).

Results

A total of 337 patients were included. A 30.3% of vitiligo patients (102/337) in present cohort had PTS and 12.5% patients (42/337) were confirmed for developing into PTSD. The multivariate logistic regression revealed educational level<university (OR=2.32, 95% CI=1.97–2.93, P=0.003), vitiligo in face and neck (OR=2.65, 95% CI=2.08–3.12, P=0.008), vitiligo in feet and hands (OR=1.86, 95% CI=1.54–2.12, P<0.001) and surgical treatment (OR=3.53, 95% CI=3.12–4.02, P<0.001) were risk factors for PTSD. PTS severity was significantly associated with vitiligo disease activity score (rho=0.54, R2=0.29, P=0.002), vitiligo area scoring index score (r=0.55, R2=0.30, P=0.012), and dermatology life quality index score (r=0.61, R2=0.37, P=0.004).

Conclusion

Vitiligo-related PTS is prevalent in vitiligo patients and causes psychological impairment. Dermatologists should realize and identify this condition carefully and offer proactive intervention to improve patients’ quality of life.

Lifestyle Factors Involved in the Pathogenesis of Alopecia Areata

Alopecia areata is a representative inflammatory skin disease that is associated with various environmental stimuli. While psychological stress is believed to be a major pathogenetic trigger in alopecia areata, infants and newborns also suffer from the disease, suggesting the possible presence of other environmental factors. Daily lifestyle is well known to be involved in various inflammatory diseases and influences the severity of inflammatory skin diseases. However, only a limited number of studies have summarized these influences on alopecia areata. In this review article, we summarize lifestyle factor-related influences on the pathogenesis of alopecia areata and focus on environmental factors, such as smoking, alcohol consumption, sleep, obesity, fatty acids, and gluten consumption.

Insomnia and other sleep disorders in dermatology patients: A questionnaire-based study with 634 patients

Insufficient sleep duration and quality are associated with various adverse health outcomes. Whereas sleep disorders have been studied in a few skin conditions, data in a more comprehensive dermatology population are lacking. We sought to describe the prevalence, causes, and consequences of sleep disorders in dermatology patients. In this cross-sectional, single-center study, dermatology patients completed a questionnaire addressing skin-related and non-skin-related health, sleep behavior, causes, and consequences of sleep disorders. According to the Regensburg Insomnia Scale, 27.92% of the 634 participants had insomnia (177 of 634 patients). Of these 177 patients, 115 (64.97%) were subjectively sleep disturbed, with skin-related causes accounting for 55.65% (64 of 115 patients), non-skin-related accounting for 33.04% (38 of 115 patients), and combined accounting for 11.30% (13 of 115 patients). Itch was the leading cause of skin-related sleep disorders (64.49%, 50 of 77 patients), followed by skin-related pain (55.84%, 43 of 77 patients) and skin-related fearful thoughts (54.55%, 42 of 77 patients). Sleep disorders reduced daytime performance in 68.70% (79 of 115 patients) and sleep quality of relatives in 20.87% (24 of 115 patients). The prevalence of insomnia among different diagnostic categories ranged from 20.31% to 50.00%. The most common strategy to improve sleep was taking sleep medication (57.39%, 66 of 115 patients). We conclude that sleep disorders are highly prevalent in dermatology patients, often leading to reduced daytime performance, impaired sleep among the patients' relatives, and increased use of substances.

Association between intensive care unit admission of a patient and mental disorders in the spouse: a retrospective matched-pair cohort study

Background

Previous prospective studies have suggested that spouses of patients who are admitted to the intensive care unit (ICU) have a high prevalence of mental disorders, termed post-intensive care syndrome-family (PICS-F). However, it remains unclear whether the patient’s ICU admission is associated with the occurrence of mental disorders in the spouse outside of the prospective study setting. We therefore investigated the proportion of ICU patients’ spouses who visited medical facilities for mental disorders and the association between ICU admission of a patient and mental disorders in the spouse using real-world data.

Methods

This was a retrospective matched-pair cohort study using commercially available, routinely collected administrative claims data. As the study population, we identified all married couples (both wife and husband) who were registered in the database from 1 April 2012 to 31 August 2018 using family identification codes. We identified spouses of patients who were admitted to the ICU for more than 2 days as the exposure group and defined the date of admission to the ICU as the index date. We randomly matched four individuals in the non-exposure group with one individual in the exposure group. The primary outcome was any PICS-F–related mental disorder in the spouses within 6 months from the index date. As a sensitivity analysis, we also investigated the proportion and association of individuals (excluding spouses) with a history of mental disorders.

Results

Among 1,082,208 married couples, we identified 8490 spouses of ICU patients, and they were matched with 33,946 individuals. The proportion of any PICS-F–related mental disorder within 6 months from the index date was 12.8% in ICU patients’ spouses and 11.3% in the matched individuals (adjusted odds ratio, 1.29; 95% confidence interval, 1.03–1.42). The sensitivity analysis showed significant associations between ICU admission and spouses’ mental disorders.

Conclusions

Spouses of patients who were admitted to the ICU had a slightly higher risk of mental disorders within 6 months than spouses of patients who were not admitted to the ICU.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-021-00583-3.

Location, Spreading and Oral Corticosteroids are Associated with Insomnia in Vitiligo Patients: A Case-Control Study

Background

Vitiligo can cause disfiguration, impair the social function of the patients and induce physiological burdens. However, limited research about the health-related quality of life has been conducted in vitiligo patients’ sleeping conditions.

Objective

To evaluate the prevalence, severity, and risk factors of insomnia in vitiligo patients.

Methods

This case–control study was performed in March 2021. An online survey questionnaire including baseline information and the sleep-related instrument was sent to 762 vitiligo patients. The vitiligo-related evaluation was conducted by online video interview. According to whether having insomnia or not, patients were grouped and compared their clinical and demographic characteristics. The logistic regression model was conducted to analyze the risk factors for insomnia.

Results

A total of 409 patients were included. About 49.9% of patients (204/409) experienced insomnia. About 55.9% (114/204) of the insomnia in vitiligo patients was adjustment sleep disorder caused by vitiligo. Development, aggravation, or recurrence of vitiligo were deemed as the first reason for insomnia in 71.1% of the sample (81/114). There were significant differences in age (32.1±4.1 vs 27.9±4.2 years, P < 0.001), the percentage of female (62.8% vs 49.3%, P=0.006) and working in the urban areas (77.0% vs 66.3%, P = 0.017), vitiligo in face and neck (67.2% vs 48.8%, P < 0.001), progression in vitiligo (65.7% vs 49.3%, P=0.001), oral corticosteroids (25.0% vs 16.6%, P=0.036) and depression (5.4% vs 0.5%, P = 0.003) between groups. After adjusting for gender, age and comorbidity, the multivariate logistic regression revealed that vitiligo in face and neck (OR=2.62; P=0.032), progression in vitiligo (OR=2.50; P=0.002), and oral corticosteroids (OR=2.71; P=0.021) remained risk factors for insomnia in vitiligo patients.

Conclusion

Insomnia is prevalent in vitiligo patients. Dermatologists should identify this condition carefully, especially humanistic factors in social life, and perform individualized “non-drug” treatment.

Influence of Skin Subjective Symptoms on Sleep Quality in Patients with Cutaneous Disorders: A Study of 2871 Subjects

Introduction

Previous studies showed more sleep disturbance (SD) in patients with cutaneous disorders (CD). During CD, unpleasant subjective symptoms [USS], such as itch, pain and others (tingling, burning, or tightness) have a negative influence on sleep quality. This study aims to evaluate the prevalence of SD in CD patients and to identify the influence of itch, pain and other unpleasant sensations on SD.

Materials and Methods

An international, anonymized real-life survey was conducted with individuals [18−75 years], with physician-confirmed CD, or without CD. The 25 items covered sociodemographic characteristics, feeling of overall sleep quality and skin unpleasant sensations. Severity of SD and unpleasant sensations were assessed using a 10-cm Visual Analogue Scale (VAS).

Results

From 3834 analyzed questionnaires, 2871 (67.3%) were in the CD group and 863 (32.7%) in the control group. Patients with CD had significantly more SD (71.2% vs 32.7% in the control group, p<0.0001). CD patients without any reported unpleasant sensation were at higher risk for SD than control subjects (OR 1,362 [95% CI 1.975–2.405] p=0.0013). SS were highly associated with SD (OR 1.641 [95% CI 1.393–1.933] p<0.0001). Pruritus, pain and intermediate sensations were significant predictors of SD, with odds ratios of 1.670, 1.625 and 1.326, respectively. VAS sleep scores were strongly associated with pruritus (r: 0.25, p<0.0001) and pain (r: 0.25 p<0.0001) severity ratings.

Discussion

SD is a common problem for patients with CD. Patients with subjective symptoms suffer more from SD, suggesting that they are aggravating factors, but are likely not the only reason for SD in CD patients. We found that during CD, intermediate sensations also contribute to SD. Despite some limitations and the potential bias due to the study design, our results confirm for the first time on an international level the influence of subjective symptoms on sleep quality in patients with CD.

Sleep disorders and risk of dementia in patients with new-onset type 2 diabetes: A nationwide population-based cohort study

BACKGROUND

This study examined the relationship between sleep disorders and the risk of dementia in patients with newly diagnosed type 2 diabetes.

METHODS

This study used the Korean Health Screening Cohort data and included 39 135 subjects aged ≥40 years with new-onset type 2 diabetes between 2004 and 2007, with follow-up throughout 2013. Sleep disorders were measured by F51(sleep disorders not due to a substance or known physiological condition) or G47(sleep disorders) under International Classification of Diseases, Tenth Revision (ICD-10) codes as a primary diagnosis, and the adjusted hazard ratio (AHR) and 95% CI of all-cause dementia, Alzheimer disease, vascular dementia, and other dementia were estimated using multivariable Cox proportional hazards regression models.

RESULTS

In the patients with type 2 diabetes with an age range between 42 and 84 years (M = 57.8, SD = 9.5), this study identified 2059 events of dementia during an average follow-up time of 5.7 years. In patients with type 2 diabetes, subjects with sleep disorders were associated with an increased risk of all-cause dementia (AHR, 1.46; 95% CI, 1.19-1.80), Alzheimer disease (AHR, 1.39; 95% CI, 1.02-1.88), and other dementia (AHR, 1.69; 95% CI, 1.23-2.31) compared to those without sleep disorders. Men (AHR, 1.93; 95% CI, 1.42-2.62) and older adults (AHR, 1.70; 95% CI, 1.35-2.15) with sleep disorders were associated with an increased risk of dementia than their counterparts without sleep disorders among patients with type 2 diabetes.

CONCLUSIONS

These findings suggest that sleep disorders are significantly associated with an increased risk of dementia in patients with new-onset type 2 diabetes.

Cumulative Life Course Impairment of Alopecia Areata

Alopecia areata (AA), an unpredictable, nonscarring hair loss, is commonly perceived as a cosmetic, rather than medical, concern. However, substantial evidence exists describing the negative impact on quality of life, as the disease affects patients personally, socially, financially, and physically. Over time, the cumulative disability may perpetuate poor confidence, social disconnection, negative coping strategies, and failure to achieve a full life potential. Here, we describe the cumulative life course impairment (CLCI) of AA by examining the complex interaction of (1) stigmatization, (2) physical and psychiatric comorbidities, and (3) coping strategies. The model aggregates existing cross-sectional data, which have previously captured disease burden only as snapshots in time. Thus, by examining cumulative effects, the CLCI model serves as a proxy for longitudinal data to better describe life course epidemiology of the disease.

Bidirectional association between alopecia areata and sleep disorders: a population-based cohort study in Taiwan

BACKGROUND

The relationship between alopecia areata (AA) and sleep disorders remains uncertain. This study aims to investigate the bidirectional association between AA and sleep disorders.

METHODS

To assess the risk of developing sleep disorders, we recruited 5648 patients with AA and 22,592 matched controls from the National Health Insurance Research Database (NHIRD) in Taiwan. Similarly, risk of developing AA was assessed in 93,130 patients with sleep disorders (including 7310 patients with obstructive sleep apnea [OSA] and 85,820 patients with non-apnea insomnia) and 372,520 matched controls. Cox regression model was used for the analysis.

RESULTS

AA patients had a significantly increased risk of developing OSA (adjusted hazard ratio [aHR] 3.80; 95% confidence interval [CI] 2.53-5.71) and non-apnea insomnia (aHR 4.20; 95% CI 3.68-4.79). Conversely, presence of sleep disorders significantly increased the risk of AA development (aHR 4.70; 95% CI 3.99-5.54). Both OSA (aHR 3.89; 95% CI 2.46-6.16) and nonapnea insomnia (aHR 4.77; 95% CI 4.03-5.64) were associated an increased risk of developing AA.

CONCLUSIONS

Patients with AA have a higher risk of developing sleep disorders compared to controls, and vice versa. Further studies are needed to investigate the shared pathogenic mechanism underlying these two conditions.

Association of sleep disturbance with risk of cardiovascular disease and all-cause mortality in patients with new-onset type 2 diabetes: data from the Korean NHIS-HEALS

Background

Sleep disturbance has been significantly associated with the incidence of cardiovascular disease (CVD) in the general population. However, despite the common prevalence of sleep disturbance in patients with type 2 diabetes, its relationship with the risk of CVD remains unclear. Here, we have examined the association of sleep disturbance with the incidence of all CVD and all-cause mortality in patients with newly-diagnosed type 2 diabetes.

Methods

We used the Korean National Health Insurance Service–Health Screening Cohort data and included 36,058 patients with new-onset type 2 diabetes aged ≥ 40 years between 2004 and 2007, along with follow-up examinations to 2013. We used the ICD-10 code to measure sleep disturbance as a primary diagnosis and the multivariable Cox proportional hazards regression models to estimate the adjusted hazard ratio (AHR) and 95% confidence interval (CI) of all CVD, coronary heart disease (CHD), stroke, and all-cause mortality.

Results

We identified 6897 cases of all CVD (CHD, n = 4138; stroke, n = 2759) and 2890 events of all-cause mortality during a mean follow-up period of 7.0 years. Sleep disturbance was associated with an increased risk of All CVD (AHR, 1.24; 95% CI, 1.06–1.46), CHD events (AHR, 1.24; 95% CI, 1.00–1.53), and all-cause mortality (AHR, 1.47; 95% CI, 1.15–1.87) in patients with new-onset type 2 diabetes. Furthermore, women (AHR, 1.33; 95% CI, 1.06–1.67) and middle-aged adults (AHR, 1.29; 95% CI, 1.02–1.64) with sleep disturbance had a significantly increased risk of CVD than those without; contrarily, men (AHR, 1.45; 95% CI, 1.09–1.95) and older adults (AHR, 1.51; 95% CI, 1.15–1.99) with sleep disturbance were associated with a significantly increased risk of all-cause mortality than those without.

Conclusions

Our findings suggest that sleep disturbance is significantly associated with an increased risk of CVD and all-cause mortality in patients with new-onset type 2 diabetes.