Prevalence and Predisposing Factors for Depressive Status in Chinese Patients with Obstructive Sleep Apnoea: A Large-Sample Survey

Association between obstructive sleep apnea severity and depression risk: a systematic review and dose-response meta-analysis

Obstructive sleep apnea (OSA) has received considerable attention as a potential risk factor for depressive symptoms. The systematic review was conducted to confirm the dose‒response connection between OSA severity and depression risk. A systematic literature search of English and Chinese articles published in PubMed, EMBASE, Scopus, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and SinoMed databases from their inception to 28 August 2023 was conducted. An evaluation using the Newcastle‒Ottawa Scale was performed. A meta-analysis was used to evaluate the impact of OSA severity. A random-effects dose‒response model was conducted to evaluate the linear and nonlinear dose‒response connections. We evaluated publication bias by funnel plots, and symmetry by Egger's test. We identified 18 cross-sectional researches. 3143 participants which were involved in the dose‒response meta-analysis. Contrasted with mild OSA, individuals with severe OSA had a higher adjusted risk of depression (rate ratio: 1.34, 95% confidence interval = 1.05-1.70), with substantial heterogeneity (I2 = 70.9%, Pheterogeneity<0.001). There is a significant linear connection between OSA severity and depression risk. The depression risk increased by 0.4% for every 1 event per hour increase in the apnea-hypopnea index (AHI). The protocol for this unfunded research was drafted and registered at PROSPERO (ID CRD42023474097).

Latent profile analysis of depression in US adults with obstructive sleep apnea hypopnea syndrome

Objective

This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the characteristic differences between these categories.

Methods

The data of this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, and the subjects with OSAHS symptoms were aged 18 years and older. The latent profile analysis (LPA) method was used to fit the latent depression categories in subjects with OSAHS symptoms. The chi-square test, rank sum test, and binary logistic regression were used to analyze the influencing factors of depression subgroups in subjects with OSAHS symptoms.

Results

Three latent profiles were identified: low-level (83.7%), moderate-level (14.5%) and high-level (1.8%) depression. The scores of 9 items in the high-level depression group were higher than those in the other two groups. Among them, item 4 "feeling tired or lack of energy" had the highest score in all categories.

Conclusion

Depression in subjects with OSAHS symptoms can be divided into low-level, moderate-level and high-level depression. There are significant differences among different levels of depression in gender, marital status, PIR, BMI, smoking, general health condition, sleep duration and OSAHS symptom severity.

A Narrative Review of Self-Reported Scales to Evaluate Depression and Anxiety Symptoms in Adult Obstructive Sleep Apnea Patients

Background and Objectives: Obstructive sleep apnea (OSA) is a prevalent chronic condition that has been associated with mental disorders like depression and anxiety. This study intends to provide a practical overview of the most relevant self-reported and self-rating scales that assess depression and anxiety in OSA patients. Materials and Methods: A search for articles was performed using PubMed, Google Scholar, and Semantic Scholar using a combination of words for obstructive sleep apnea, depression, anxiety, and scales. The tools were ordered by type (screening and rating) and arranged chronologically according to the year of publication. Results: Three scales were identified for assessing depression, which were the Center for Epidemiologic Studies Depression Scale (CES-D), the Hospital Anxiety and Depression Scale (HADS-D), and the Patient Health Questionnaire-9 (PHQ-9). For rating depression, two scales were discussed: the Zung Self-Rating Depression Scale (SDS) and the Beck Depression Inventory (BDI), which has three versions (the BDI, the BDI-II, and the Fast Screen (BDI-FS)). For assessing anxiety, the Generalized Anxiety Disorder-7 (GAD-7) scale was identified. Two scales were reviewed for rating anxiety: the State-Trait Anxiety Inventory (STAI) and the Beck Anxiety Inventory (BAI). Each scale is accompanied by a brief description of its practicality and psychometric qualities and an analysis of its strengths and limitations. Conclusions: The findings of this review will contribute to the understanding of the importance of assessing mental health comorbidities in the context of OSA, ultimately guiding clinical practice and future research in this area.

A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

Objective

Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data from the National Health and Nutrition Examination Survey (NHANES) database and machine learning (ML) methods to construct a risk prediction model for depression, aiming to predict the probability of depression in the OSAHS population. Relevant features were analyzed and a nomogram was drawn to visually predict and easily estimate the risk of depression according to the best performing model.

Study design

This is a cross-sectional study.

Methods

Data from three cycles (2005-2006, 2007-2008, and 2015-2016) were selected from the NHANES database, and 16 influencing factors were screened and included. Three prediction models were established by the logistic regression algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and random forest algorithm, respectively. The receiver operating characteristic (ROC) area under the curve (AUC), specificity, sensitivity, and decision curve analysis (DCA) were used to assess evaluate and compare the different ML models.

Results

The logistic regression model had lower sensitivity than the lasso model, while the specificity and AUC area were higher than the random forest and lasso models. Moreover, when the threshold probability range was 0.19-0.25 and 0.45-0.82, the net benefit of the logistic regression model was the largest. The logistic regression model clarified the factors contributing to depression, including gender, general health condition, body mass index (BMI), smoking, OSAHS severity, age, education level, ratio of family income to poverty (PIR), and asthma.

Conclusion

This study developed three machine learning (ML) models (logistic regression model, lasso model, and random forest model) using the NHANES database to predict depression and identify influencing factors among OSAHS patients. Among them, the logistic regression model was superior to the lasso and random forest models in overall prediction performance. By drawing the nomogram and applying it to the sleep testing center or sleep clinic, sleep technicians and medical staff can quickly and easily identify whether OSAHS patients have depression to carry out the necessary referral and psychological treatment.

The additive value of continuous positive airway pressure treatment on psychological symptoms

OBJECTIVE

To screen psychological problems of patients with obstructive sleep apnea syndrome (OSAS) by utilizing the psychological symptom screening test Symptom Checklist-90-Revised (SCL-90-R) and to evaluate the effect of continuous positive airway pressure (CPAP) treatment.

METHODS

The SCL-90-R and Epworth Sleepiness Scale (ESS) test were applied to 66 patients with Apnea-Hypopnea Index (AHI ≥ 30/h) using CPAP device and 20 healthy individuals; the test results were compared.

RESULTS

The age of the patients ranged from 28 to 67 years, and the patient group comprised 54 males (81.8%) and 12 females (18.2%). The AHI scores ranged from 30.05 to 99.80, with a mean of 49.34 ± 21.40. Significant improvement was seen in 6 of the 11 SCL-90-R scores in CPAP-treated patients.

CONCLUSION

The authors conclude that the SCL-90-R test may be appropriate for evaluating the response to CPAP treatment in OSAS patients and monitoring the psychosocial effects of treatment.

The Sleepiness-Depression Link in Obstructive Sleep Apnea: Preliminary Results on the Mediation of Impulsivity

BACKGROUND

Emotional impulsivity has been found to be relevant in explaining the association between sleep problems and depressive symptoms, suggesting the potential role of impulsivity as a key underlying mechanism of this link. The objective of this study was to take a preliminary step in understanding the mediating role of impulsivity in the relation between excessive daytime sleepiness (EDS) and depression in patients with obstructive sleep apnea syndrome (OSAS) and to compare psychological and demographic characteristics between different levels of daytime sleepiness.

METHODS

A total of 138 patients with OSAS underwent polygraphic cardiorespiratory monitoring and completed a series of questionnaires investigating perceived sleepiness, depression, impulsivity, and other psychological characteristics. A mediational model was tested in order to assess whether impulsivity mediated the relation between sleepiness and depressive symptoms while controlling for the effects of age, sex, BMI, and oxygen saturation parameters.

RESULTS

the mediation model showed that there was a significant indirect effect of impulsivity in the sleepiness-depression link (αβ = 0.084 [0.0243-0.1617]).

CONCLUSIONS

The here-presented results showed that the sleepiness-depression link is not direct as previous studies asserted, but instead it may be better explained by impulsivity. Research and practical implications are discussed.

Remote cardiac rehabilitation program during the COVID-19 pandemic for patients with stable coronary artery disease after percutaneous coronary intervention: a prospective cohort study

OBJECTIVE

The coronavirus disease-19 (COVID-19) pandemic restricts rapid implementation of in-person delivery of cardiac rehabilitation (CR) at the center for coronary artery disease (CAD) patients undergoing percutaneous coronary intervention (PCI), thus enabling a cohort comparison of in-person vs. remote CR program. This study aims to investigate outcomes of exercise capacity, health-related quality of life (HRQL), mental health, and family burden of stable CAD patients undergoing PCI in low-to-moderate risk after different delivery models of CR program.

METHODS

The study included a cohort of stable CAD patients undergoing PCI who had experienced two naturally occurring modes of CR program after hospital discharge at two time periods, January 2019 to December 2019 (in-person CR program) and May 2020 to May 2021 (remote CR program). The exercise capacity was assessed by means of 6-min walk test (6MWT), maximal oxygen uptake (VO₂max) and the respiratory anaerobic threshold (VO_2AT) before discharge, at the end of the 8-week and 12-week in-person or remote CR program after discharge.

RESULTS

No adverse events occurred during the CR period. CAD patients had a longer distance walked in 6 min with a higher VO_2max after 8-week and 12-week CR program whether in-person or remote model (p < 0.05). The distance walked in 6 min was longer and the maximal oxygen uptake (VO₂max) was higher at the end of the 12-week in-person or remote CR program than 8-week in-person or remote CR program (p < 0.05). The respiratory anaerobic threshold (VO_2AT) of CAD patients was decreased after 8-week CR program whether in-person or remote model (p < 0.05). CAD patients receiving remote CR program exhibited higher HRQL scores in domains of vitality (p = 0.048), role emotional (p = 0.039), mental health (p = 0.014), and the summary score of the mental composite (p = 0.048) compared to in-person CR program after 8 weeks. The anxiety and depression scores of CAD patients undergoing PCI were decreased after 8-week CR program whether in-person or remote model (p < 0.05). The CAD patients receiving remote delivery showed lower anxiety and depression scores compared to those receiving in-person delivery at the end of the 8-week CR program (p < 0.05). It was found that the family burden scores of CAD patients undergoing PCI were reduced after 8-week and 12-week CR program whether in-person or remote model (p < 0.05). The CAD patients receiving remote CR program showed lower family burden scores than those receiving in-person CR program after whether 8 weeks or 12 weeks (p < 0.05).

CONCLUSION

These data indicate that a properly designed and monitored remote delivery represents a feasible and safe model for low-to-moderate-risk, stable CAD patients undergoing PCI inaccessible to in-person CR during the COVID-19 pandemic.

[Current Status of and Progress in Research on Obstructive Sleep Apnea and Comorbid Depressive Disorders]

Obstructive sleep apnea (OSA) and depressive disorders are common diseases in adults and they share in common many clinical symptoms, including sleep disturbance, fatigue, lack of concentration and cognitive function impairment. OSA and depressive disorders also share some common pathophysiological changes, including increased activity of the hypothalamic-pituitary-adrenal (HPA) axis, chronic low-grade inflammation, oxidative stress, and changes in gut microbiota and neurotransmitters, which may contribute to the comorbidity of OSA and depressive disorders. In the case of comorbid OSA and depressive disorders, OSA and depressive disorders may affect and exacerbate each other, thereby increasing the severity of diseases, entailing greater risk of cardiovascular and metabolic diseases, and causing greater difficulty in treatment. Herein, we summarized the latest research findings on the epidemiology, possible mechanisms, harms, and treatment of comorbid OSA and depressive disorders. This review may help improve clinicians' understanding of the comorbidity of OSA and depression disorders, thereby promoting early screening, prompt diagnosis and treatment, and improved prognosis. Further studies are needed for better understanding of the effect of the comorbidity of OSA and depressive disorders and treatment on cardiometabolic diseases.

Association between sleep apnea severity and symptoms of depression and anxiety among individuals with obstructive sleep apnea

OBJECTIVE

We determined whether the severity of sleep apnea is associated with symptoms of depression and anxiety in patients with obstructive sleep apnea (OSA) and whether symptoms of OSA, other than respiratory events, are associated with depression and anxiety symptoms.

METHODS

Depressive and anxiety symptoms were defined as a Patient Health Questionnaire-9 score of ≥10 and a Generalized Anxiety Disorder-7 score of ≥8, respectively. Sleep apnea severity and rapid eye movement-related OSA were evaluated using the apnea-hypopnea index (AHI). Subjective symptoms of OSA were assessed using the Sleep Apnea Severity Questionnaire (SASQ). We conducted multivariate logistic regression analyses.

RESULTS

We included 1390 adult patients with OSA (80.4% men) and 125 control subjects with primary snoring. Symptoms of depression and anxiety were present in 15.5% and 14.4% of patients with OSA, respectively. The prevalence of depressive and anxiety symptoms did not differ between OSA and control subjects after controlling for age and sex. Severe OSA, defined as an AHI score of ≥30, was significantly less likely than mild OSA to be associated with the presence of depression and anxiety symptoms in both the unadjusted and adjusted models (models were adjusted by age, sex, medical comorbidities, history of psychiatric disorders, and daytime sleepiness). By contrast, OSA symptoms assessed using the SASQ were positively correlated with the presence of depression and anxiety symptoms in both the unadjusted and adjusted models. Specifically, nocturnal awakening and morning waking symptoms, but not nocturnal breathing difficulties, were positively correlated with the presence of depression and anxiety symptoms. Subjects with rapid eye movement-related OSA were more likely to have depressive symptoms, but not anxiety, than those without.

CONCLUSIONS

Symptoms of depression and anxiety were negatively correlated with the severity of sleep apnea but positively correlated with nocturnal awakening and early morning symptoms of OSA.

Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model

BACKGROUND

Pilots' physical and mental health might be significant contributing factors to flight safety. Exploring pilots' health-related quality of life (HRQoL) is crucial for aviation security, health management, and psychological security. This study aimed to explore HRQoL and mental health of pilots and analyze the health characteristics and influencing factors, such as demographic data, personality traits, social support, and resilience. It may provide data for a theoretical basis for aviation security work and health management strategy.

METHODS

This is a cross-sectional study using quantitative approaches. Two hundred twenty male pilots with an average age of 33.31 years participated. They answered a social demographic questionnaire, Symptom Checklist-90, Short Form 36 Health Survey Questionnaire, Perceived social support scale, Connor-Davidson resilience scale, and Big Five Personality Inventories, whose data were analyzed using descriptive and inferential statistics.

RESULTS

The mediating effect of personality factors between resilience and the HRQoL of pilots was observed. Personality factors also mediated the relationship between social support and the mental health of pilots.

CONCLUSION

Pilots' mental health and quality of life need to be taken seriously. Social support, resilience, and personality factors affect pilots' mental health and quality of life.

Prevalence of depression and anxiety in obstructive sleep apnea

INTRODUCTION

Organic comorbidities of obstructive sleep apnea (OSA) have been widely studied. However, psychiatric disorders, especially depression and anxiety, have not attracted so much attention.

AIM

The primary aim was to determine the prevalence and the predictive factors of depression and anxiety in OSA patients. The secondary aim was to investigate the association between OSA severity and these psychiatric disorders.

METHODS

A cross-sectional study including untreated OSA patients without mental illness history was conducted. Patients were administered the Hospital Anxiety (HADS-A) and Depression Scale (HADS-D). Depression and anxiety were diagnosed for HAD-D and HAD-A scores ≥ 8.

RESULTS

Eighty patients were included (mean age: 54.83 ± 13.12 yr; female: 52 (65%); mean Body mass index (BMI) :34.7±6.14 kg/m2). The prevalence of depression and anxiety was 35 % and 43.8% of patients respectively. Both depressive and anxious OSA patients had more libido disorder ( p=0.011, p=0.0007 ;respectively), anhedonia (p= 10-4, p= 10-4respectively ) and suicidal ideas(p= 0.002 ,p=0.019 respectively). Moreover, depressed OSA patients had lower socio-economic condition (p= 0.019), more coronary artery diseases (CAD) (p=0.019) and less cognitive disorder (p= 0.005). The HADS-D (r=0,095; p=0,404) and the HADS-A (r=0,212; p=0,059) were not correlated with the Apnea/Hyponea Index. The determinants of depressive and anxious mood were female-sex (p= 0.035, p=0.004 respectively) and libido disorder (p=0.040, p=0.02 respectively). Anhedonia (p=10-4) and CAD (p=0.010) were also identified as a predictive factors of depression.

CONCLUSIONS

In our study, the high prevalence of depression and axiety in apneic patients demonstrates the importance of the psychiatric component in the management of this disease. A collaboration between pneumologists and psychiatrists is necessary in order to improve the quality of life of these patients.

Exploring the relationship between depression and different multimorbidity patterns among older people covered by long-term care insurance in Shanghai, China

BACKGROUND

Depression is common in patients with multimorbidity, but little is known about the relationship between depression and multimorbidity. The purpose of our research was to investigate multimorbidity patterns and their association with depression in a sample of older people covered by long-term care insurance in Shanghai, China.

METHOD

This was a population-based cross-sectional study, with 1871 participants aged ≥60 years old who are covered by Shanghai long-term care insurance. Multimorbidity was defined as the presence of two or more chronic diseases at the same time. We collected information on chronic conditions using a self-reported medical history, and we used the 30-item Geriatric Depression Scale (GDS-30) to evaluate depressive symptoms. Patterns of multimorbidity were identified with exploratory factor analysis, using oblimin rotation. Logistic regression was used to estimate the relationship between multimorbidity patterns and depressive symptoms.

RESULTS

Among the participants, the prevalence of multimorbidity was 64.7%, and the prevalence of depression was 64.6%. Hypertension, cardiovascular disease, cerebrovascular disease (CVD), and cataracts showed strong associations with depression when co-occurring with other conditions. Three patterns of multimorbidity were identified: a musculoskeletal pattern, cardiometabolic pattern, and degenerative disease pattern. Among these, the cardiometabolic (adjusted odds ratio (AOR) 1.223; 95% confidence interval (CI) 1.102, 1.357) and degenerative disease (AOR 1.185; 95% CI 1.071, 1.311) patterns were associated with a higher risk of depressive symptoms.

CONCLUSION

Two of three multimorbidity patterns were found to be associated with depression. Physical and psychological dimensions require greater attention in the care of older adults who are covered by long-term care insurance.

Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China

BACKGROUND

Functional disability and multimorbidity are common among older people. However, little is known about the relationship between functional disability and different multimorbidity combinations. We aimed to identify multimorbidity patterns and explore the associations between these patterns and functional disability.

METHODS

We investigated a multi-stage random sample of 1871 participants aged ≥60 years and covered by long-term care insurance in Shanghai, China. Multimorbidity was defined as the simultaneous presence of two or more chronic diseases in an individual. Participants completed scales to assess basic and instrumental activities of daily living (BADL and IADL, respectively). Multimorbidity patterns were identified via exploratory factor analysis. Binary logistic regression models were used to determine adjusted associations between functional disability and number and patterns of multimorbidity.

RESULTS

Multimorbidity was present in 74.3% of participants. The prevalence of BADL disability was 50.7% and that of IADL disability was 90.7%. There was a strong association between multimorbidity and disability. We identified three multimorbidity patterns: musculoskeletal, cardio-metabolic, and mental-degenerative diseases. The cardio-metabolic disease pattern was associated with both BADL (OR 1.28, 95%CI 1.16-1.41) and IADL (OR 1.41, 95%CI 1.19-1.68) disability. The mental-degenerative disease pattern was associated with BADL disability (OR 1.55, 95%CI 1.40-1.72).

CONCLUSIONS

Multimorbidity and functional disability are highly prevalent among older people covered by long-term care insurance in Shanghai, and distinct multimorbidity patterns are differentially associated with functional disability. Appropriate long-term healthcare and prevention strategies for older people may help reduce multimorbidity, maintain functional ability, and improve health-related quality of life.

Association of Anxiety and Depression in Obstructive Sleep Apnea Patients: A Systematic Review and Meta-Analysis

Background: Obstructive sleep apnea (OSA) has been associated with mental disorders, but the strength of this association is unknown. The aim of our study was to investigate the association among OSA, depression, and anxiety in adults and to quantitatively summarize the results. Methods: A literature search in Medline, PubMed, PsycInfo, Scopus, and Web of Science was conducted. Seventy-three articles were selected for study. Results: The pooled prevalence of depressive and anxious symptoms in OSA patients was 35% (95% CI, 28-41%) and 32% (95% CI, 22-42%), respectively. Conclusions: The association between OSA, anxiety, and depression indicates the value of an early diagnosis and personalized treatment of OSA to improve mental disorders conditioning compliance to therapy. These conditions share a probably bidirectional relationship.

The Association between Treated and Untreated Obstructive Sleep Apnea and Depression

STUDY OBJECTIVES

The aims of this study were (1) to determine the association between obstructive sleep apnea (OSA) and depression and (2) to identify if treated or untreated OSA affects depression levels, in a sample of 51 patients.

METHODS

Participants were 18 years old or older, who were diagnosed with some form of OSA. A survey was administered at a local sleep clinic and via social media, Facebook. A Patient Health Questionnaire Depression Scale (PHQ-8) was used to assess depression.

RESULTS

Overall, 51 participants met the requirements and completed the survey. Participants who were currently not being treated for their OSA had a mean depression score of 18.9 (moderate-severe). In treated mild OSA participants, the mean depression score was 8; in participants with moderate OSA, the mean depression score was 13.7; and in patients with severe OSA, the mean depression score was 13.4. In untreated mild OSA participants, themean depression score was 15.3; in moderate OSA participants, the mean depression score was 17.3; and in severe OSA participants, the mean depression score was 18.4. A two-sided t test (P < 0.05) showed that participants with untreated sleep apnea have significantly higher depression scores than those with treated sleep apnea. Data also showed a higher average depression score among females with untreated OSA (17.3) versus males with untreated OSA (16.7).

CONCLUSIONS

The results showed an increase in depression levels among individuals with untreated OSA, lower depression scores in all levels of severity within treated OSA participants, and females had higher depression levels than men, in both treated and untreated OSA. These data could be useful in the future for physicians when assessing patients for sleep apnea or depression.

Is severe obstructive sleep apnea associated with less depressive symptoms?

PURPOSE

To investigate the relationship between obstructive sleep apnea (OSA) and symptoms of depression and anxiety in OSA patients.

METHODS

Symptoms were assessed using the Beck Depression Inventory (BDI) and the state part of the State-Trait Anxiety Inventory (STAI-S). BDI scores of ≥10 and STAI-S scores of ≥40 were considered to indicate the presence of depression and anxiety, respectively. Apnea severities measured using polysomnography were categorized into mild, moderate, and severe subgroups bounded by the 33rd and 66th percentiles of each polysomnographic parameter. Data were stratified by age, gender, and level of daytime sleepiness.

RESULTS

The study population comprised 795 adult patients (86.9% men). Symptoms of depression and anxiety were present in 46.2% and 49.2% of patients, respectively. Excessive daytime sleepiness was present in 40.0% of patients and did not differ depending on the level of apnea severity. Results of crude logistic regression analyses indicated that depressive symptoms were more prevalent in patients with mild OSA than those with severe OSA, regardless of the categorizing method. These results remained statistically significant following adjustment for several confounding factors. These relationships were similar but less prominent in measures of anxiety. In the sub-analyses, such negative associations between severity of OSA and depressive symptoms tended to be observed only in patients with daytime sleepiness.

CONCLUSIONS

Symptoms of depression and anxiety were found to be more prevalent in patients with mild OSA than those with severe OSA. Excessive daytime sleepiness was shown to affect the severity of depressive symptoms.

Semen Quality in Chinese College Students: Associations With Depression and Physical Activity in a Cross-Sectional Study

OBJECTIVE

Behavioral and psychosocial factors have been associated with a decline of the quality of semen. However, the relationship of depression and physical activity (PA) with semen quality remains unclear.

METHODS

Data were obtained from 587 young male Chinese college students in June 2013. Participants completed a questionnaire assessing life-style factors, the Zung self-rated depression scale, and three items related to PA. They underwent a physical examination and provided a semen sample and a blood sample for reproductive hormones (testosterone, estrogen, progesterone, follicle-stimulating hormone, luteinizing hormone, and prolactin).

RESULTS

Men with high depression scores (n = 63, 10.7%) had lower sperm concentration (M (SD) = 66.9 (74.5) versus 72.6 (56.9) [10/ml], p = .043) and total sperm count (M (SD) = 241.6 (299.7) versus 257.0 (204.0) [10], p = .024) than nondepressed men. Participants with low PA levels (n = 99, 16.9%) had lower total sperm count (M (SD) = 204.4 (153.7) versus 265.8 (225.8) [10/ml], p = .017) than participants with higher activity levels. After adjusting for potential confounders, depressed men had 18.90% (95% confidence interval [CI] = 1.14%-33.47%) lower sperm concentration and 21.84% (95% CI = 3.39%-36.90%) lower total sperm count than nondepressed men. Men with low PA levels had 23.03% (95% CI = 2.80%-46.89%) lower total sperm count than physically active participants. An interaction effect between depression and PA on sperm concentration was detected (p = .033). There were no significant associations of depression and PA with reproductive hormones (p > .05).

CONCLUSIONS

Depression and low levels of PA are associated with lower levels of semen quality, which may have implications for reproductive health.

Stigma experienced by Chinese patients with stroke during inpatient rehabilitation and its correlated factors: a cross-sectional study

Background: Stroke-related stigma can have a negative effect on patients, and is associated with stereotyping, prejudice, and discrimination; however, the exact stigma experienced by patients remains ambiguous. Objectives: To evaluate the stigma experienced by patients with stroke, determine associated factors, and explore relationships between stigma and early rehabilitation. Methods: Overall, we examined 288 patients with stroke. Patient characteristics were determined through medical records and investigations, while stigma status (comprising total stigma, internalized stigma, and enacted stigma), depression level, functional independence, and functional outcome were also assessed. Demographic and clinical characteristics were evaluated through univariate analysis, and significant variables were further analyzed through linear regression. The relationships between stigma and early rehabilitation (depression, functional independence, and functional outcomes) were also analyzed. Results: The sample's total stigma, internalized stigma, and enacted stigma scores were 47.76 ± 18.00, 30.07 ± 12.25, and 17.69 ± 6.37, respectively. Employment status before stroke, caregivers, physical impairment, and number of impairments were all relevant to all types of stigma (P< .05). The regression analysis showed that caregivers and physical impairment are the two main predictors of total, internalized, and enacted stigma (P< .01). The correlation analysis revealed that stigma is associated with depression (r = 0.671 ~ 0.690, P< .001), functional independence (r = -0.562~-0.707, P< .001), and functional outcomes (r = 0.436 ~ 0.637, P< .001). Conclusions: Stigma was moderate, and internalized stigma may be more apparent; therefore, physicians should pay more attention to patients who report or show signs of experiencing stroke-related stigma.

Relationship between cognitive emotion regulation, social support, resilience and acute stress responses in Chinese soldiers: Exploring multiple mediation model

The current study aimed to explore the association of cognitive emotion regulation, social support, resilience and acute stress responses in Chinese soldiers and to understand the multiple mediation effects of social support and resilience on the relationship between cognitive emotion regulation and acute stress responses. A total of 1477 male soldiers completed mental scales, including the cognitive emotion regulation questionnaire-Chinese version, the perceived social support scale, the Chinese version of the Connor-Davidson resilience scale, and the military acute stress scale. As hypothesized, physiological responses, psychological responses, and acute stress were associated with negative-focused cognitive emotion regulation, and negatively associated with positive-focused cognitive emotion regulation, social supports and resilience. Besides, positive-focused cognitive emotion regulation, social support, and resilience were significantly associated with one another, and negative-focused cognitive emotion regulation was negatively associated with social support. Regression analysis and bootstrap analysis showed that social support and resilience had partly mediating effects on negative strategies and acute stress, and fully mediating effects on positive strategies and acute stress. These results thus indicate that military acute stress is significantly associated with cognitive emotion regulation, social support, and resilience, and that social support and resilience have multiple mediation effects on the relationship between cognitive emotion regulation and acute stress responses.

Obstructive Sleep Apnea: Women's Perspective

The main characteristics of sleep-disordered breathing (SDB) are airflow limitation, chronic intermittent hypoxia, or apnea; which may lead to tissue hypoperfusion and recurrent arousal from sleep. These episodes of hypoxia or apnea can lead to tissue inflammation, and are causal factors of disturbed sleep in both men and women. Several lines of evidence suggest that sleep patterns differ along the lifespan in both male and female subjects, and this may result from the influence of female gonadotropic hormones on sleep. Compared to men, women have more sleep complaints, as women's sleep is not only influenced by gonadotropins, but also by conditions related to these hormones, such as pregnancy. It is therefore not surprising that sleep disturbances are seen during menopause, too. Factors that may play a role in this type of SDB in women include vasomotor symptoms, changing reproductive hormone levels, circadian rhythm abnormalities, mood disorders, coexistent medical conditions, and lifestyle factors.