The Role of Depression and Anxiety in the Relationship Between Arthritis and Cognitive Impairment in Chinese Older Adults.

BACKGROUND: Mental disorders and cognitive impairment are common in older patients with arthritis. While it is recognized that mental conditions may play a role in the connection between arthritis and cognitive impairment, the precise underlying relationship remains uncertain. METHODS: The data was derived from the baseline survey of the Guangdong Mental Health Survey in South China, involving a sample of 3,764 citizens aged 65 and older. An array of aspects were explored, including socio-demographics, lifestyle behaviors, self-reported chronic conditions, depression, anxiety, and cognitive impairment. Logistic regression analyses examined the association between arthritis and cognitive impairment after adjustment for potential confounders. Serial mediation models were used to examine whether depression or anxiety played a mediating role in the arthritis-cognitive impairment linkage. RESULTS: The prevalence rates of cognitive impairment and arthritis of the older adults were 28.9% and 12.1%, respectively. Compared to those without arthritis, participants with arthritis were at a higher risk of cognitive impairment (OR = 1.322, 95%CI: 1.022-1.709) after adjustment for socio-demographics, lifestyle behaviors, and mental health conditions. Serial mediation analyses indicated that depressive and anxiety symptoms co-played a serial mediating role in the association between arthritis and cognitive impairment (B1 = 0.025, 95%CI: 0.005-0.052; B2 = 0.050, 95%CI: 0.021-0.086). CONCLUSIONS: Arthritis may heighten cognitive impairment risk in Chinese older adults, and the relationship was potentially mediated by depressive and anxiety symptoms. Future interventions should be considered, integrating mental health assessments into arthritis care frameworks and being alert to possible cognitive impairment.

Cognitive impairment and depression precede increased HDL-C levels in middle-aged and older Chinese adults: cross-lagged panel analyses.

BACKGROUND: High-density lipoprotein cholesterol (HDL-C) is widely recognized for its protective effects against cognitive decline. However, recent studies have presented conflicting results, with some suggesting no significant cognitive benefits or even an increased risk of dementia associated with high HDL-C levels. For those who suffer from depression, the cognitive benefits of HDL-C may be diminished or reversed. The purpose of this study is to investigate the associations between HDL-C, cognitive ability, and depressive symptoms in middle-aged and older Chinese adults. METHODS: The datasets utilized were sourced from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2011 and 2015, comprising 4,302 participants. Cross-lagged models were employed to explore the temporal sequence between cognitive performance and HDL-C levels, and to examine the interplay among depression, cognition, and HDL-C. Confounding factors such as sociodemographic characteristics, sleep conditions, and history of chronic diseases were controlled for. RESULTS: The analysis revealed unidirectional effects of baseline impaired cognition and greater severity of depression on increased HDL-C levels at follow-up (ß = - 0.036 and ß = 0.028, respectively, P < 0.05). However, higher baseline HDL-C levels did not significantly predict cognitive performance or depression 4 years later (ß = - 0.008 and ß = 0.023, respectively, P > 0.05). Depressive symptoms and cognition were found to have a significant bidirectional association (ß = - 0.026 and ß = - 0.053, respectively, P < 0.05). CONCLUSIONS: Cognitive impairment and depression are associated with higher HDL-C levels, whereas higher HDL-C levels do not appear to protect against cognitive decline or depressive symptoms. These findings underscore the importance of preserving cognitive and mental health, which may lower the likelihood of cardiovascular disease and dementia. Future studies should validate these findings and develop targeted interventions tailored to specific populations.

Influencing factors of multiple adverse outcomes among schizophrenia patients using count regression models: a cross-sectional study.

BACKGROUND: Schizophrenia patients have increased risks of adverse outcomes, including violent crime, aggressiveness, and suicide. However, studies of different adverse outcomes in schizophrenia patients are limited and the influencing factors for these outcomes need clarification by appropriate models. This study aimed to identify influencing factors of these adverse outcomes by examining and comparing different count regression models. METHODS: This study included schizophrenia patients who had at least one follow-up record in the Guangdong Mental Health Center Network Medical System during 2020. Three types of adverse outcomes were included: a) aggressiveness with police dispatch or violent crime, b) aggressiveness without police dispatch, and c) self-harm or suicide attempts. The incidence density of these adverse outcomes was investigated using the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) models, accordingly. The best model was chosen based on goodness-of-fit tests. We further analyzed associations between the number of occurrences of adverse outcomes and sociodemographic, clinical factors with the best model. RESULTS: A total of 130,474 schizophrenia patients were enrolled. Adverse outcomes rates were reported to be less than 1% for schizophrenia patients in 2020, in Guangdong. The NB model performed the best in terms of goodness-of-fit and interpretation when fitting for the number of occurrences of aggressiveness without police dispatch, whereas the ZINB models performed better for the other two outcomes. Age, sex, and history of adverse outcomes were influencing factors shared across these adverse outcomes. Higher education and employment were protective factors for aggressive and violent behaviors. Disease onset aged ≥ 18 years served as a significant risk factor for aggressiveness without police dispatch, and self-harm or suicide attempts. Family history of mental diseases was a risk factor for self-harm or suicide attempts individually. CONCLUSIONS: NB and ZINB models were selected for fitting the number of occurrences of adverse outcomes among schizophrenia patients in our studies. Influencing factors for the incidence density of adverse outcomes included both those shared across different types and those individual to specific types. Therefore, comprehensive and customized tools in risk assessment and intervention might be necessary.

U-shaped association between sleep duration and subjective cognitive complaints in Chinese elderly: a cross-sectional study.

BACKGROUND: Subjective cognitive decline (SCD) may be the early screening signal to distinguish susceptible population with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Subjective cognitive complaints (SCCs) have been proved strongly associated with SCD. This study aimed to explore the association between sleep duration and SCCs in the Chinese elderly. METHODS: We conducted a cross-sectional study involving 688 participants aged 60 years and older in Guangdong Province, China. SCCs were assessed by the Subjective Cognitive Decline questionnaire 9 (SCD-Q9), which contained 9 items with two dimensions, including the overall memory function and time comparison (OMTC) and daily activity ability (DAA). Restricted cubic splines and generalized additive model (GAM) were used to fit the association between sleep duration and SCD-Q9 score. RESULTS: There were significant U-shaped associations between sleep duration and overall score of SCD-Q9 (EDF = 3.842, P < 0.001), as well as the OMTC dimension (EDF = 4.471, P < 0.001) in the age- and gender-adjusted GAM. The lowest points on the overall score of SCD-Q9 and OMTC score were observed in those sleeping 8 h per night. After further adjusting for other demographic characteristics, lifestyle behaviors, hypertension and diabetes, the U-shaped associations between sleep duration and the overall score of SCD-Q9 (EDF = 3.575, P = 0.004), sleep duration and the OMTC score (EDF = 4.478, P = 0.010) were still found. The daily activity ability (DAA) score was also non-linear associated with sleep duration both in the age- and gender-adjusted GAM (EDF = 2.314, P < 0.001) and further adjusted GAM (EDF = 2.080, P = 0.010). CONCLUSIONS: Both longer sleep duration (> 8 h) and shorter duration (< 8 h) were linked to worse SCCs. Future studies should explore the protective effect of managing sleep duration on SCD and its progression to dementia.

Zolpidem improves patients' sleep quality after surgical treatment for infective endocarditis: a prospective observational study.

PURPOSE: The objective of this study was to investigate the efficacy of zolpidem for improving post-operative sleep quality among patients with infective endocarditis (IE) and to identify the potential risk factors for impaired sleep quality at 6 months after surgery. METHODS: Patients with IE who underwent surgical treatment were divided into two groups according to zolpidem usage. The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) were used to evaluate patients' sleep quality and daytime sleepiness at baseline, which was the second day after transferal, and at 6 months after surgery. Logistic regression was used to identify potential risk factors. RESULTS: There were 32 patients in the zolpidem group and 42 in the control group. The PSQI and ESS scores at 6 months after surgery were significantly lower than those at baseline in both groups (P = 0.04). Additionally, 9 patients (28%) in the zolpidem group and 22 patients (52%) in the control group suffered poor sleep quality. Multivariate analysis identified age (odds ratio [OR] = 1.26, 95% confidence interval [CI]: 1.12-1.42), baseline PSQI score (OR = 2.66, 95%CI: 1.55-4.65), and no zolpidem usage (OR = 45.48, 95%CI: 3.01-691.23) as independent factors for poor sleep quality. CONCLUSIONS: Poor sleep quality after IE surgery was prevalent among patients even 6 months after IE surgery. Age, baseline PSQI score and no zolpidem usage were independently associated with poor sleep quality. Therefore, zolpidem has the potential to be an effective part of a treatment arsenal for poor sleep quality after surgical treatment for IE.

Subjective cognitive decline symptoms and its association with socio-demographic characteristics and common chronic diseases in the southern Chinese older adults.

BACKGROUND: Subjective cognitive decline (SCD) may be the first symptomatic manifestation of Alzheimer's disease, but information on its health correlates is still sparse in Chinese older adults. This study aimed to estimate SCD symptoms and its association with socio-demographic characteristics, common chronic diseases among southern Chinese older adults. METHODS: Participants aged 60 years and older from 7 communities and 2 nursing homes in Guangzhou were recruited and interviewed with standardized assessment tools. Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to measure poor sleep quality, depression symptoms and anxiety symptoms. The SCD symptoms were measured by SCD questionnaire 9 (SCD-Q9) which ranged from 0 to 9 points, with a higher score indicating increased severity of the SCD. Participants were divided into low score group (SCD-Q9 score ≤ 3) and higher score group (SCD-Q9 score > 3). Chi-square tests and multivariate logistic regression analysis were used for exploring the influences of different characteristics of socio-demographic and lifestyle factors on SCD symptoms. Univariate and multivariate logistic regression analysis were applied to explore the association between SCD symptoms with common chronic diseases. RESULTS: A total of 688 participants were included in our analysis with a mean age of 73.79 (SD = 8.28, range: 60-101), while 62.4% of the participants were females. The mean score of the SCD-Q9 was 3.81 ± 2.42 in the whole sample. A total of 286 participants (41.6%) were defined as the low score group (≤3 points), while 402 participants (58.4%) were the high score group (> 3 points). Multivariate logistic regression analysis revealed that female (OR = 1.99, 95%CI: 1.35-2.93), primary or lower education level (OR = 2.58, 95%CI: 1.38-4.83), nursing home (OR = 1.90, 95%CI: 1.18-3.05), napping habits (OR = 1.59, 95%CI: 1.06-2.40), urolithiasis (OR = 2.72, 95%CI: 1.15-6.40), gout (OR = 2.12, 95%CI: 1.14-3.93), poor sleep quality (OR = 1.93, 95%CI: 1.38-2.71), depression symptoms (OR = 3.01, 95%CI: 1.70-5.34) and anxiety symptoms (OR = 3.11, 95%CI: 1.29-7.46) were independent positive related to high SCD-Q9 score. On the other hand, tea-drinking habits (OR = 0.64, 95%CI: 0.45-0.92), current smoking (OR = 0.46, 95%CI: 0.24-0.90) were independent negative related to high SCD-Q9 score. CONCLUSIONS: Worse SCD symptoms were closely related to common chronic diseases and socio-demographic characteristics. Disease managers should pay more attention to those factors to early intervention and management for SCD symptoms among southern Chinese older adults.

Disease risk analysis for schizophrenia patients by an automatic AHP framework.

BACKGROUND: Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to support chronic disease management and clinical research for schizophrenia patients. METHODS: Based on a mental health information and intelligent data processing platform, we design an automatic AHP framework called AutoAHP to analyze and predict the disease risks of schizophrenia patients. Through automatic extraction, transformation and integration of follow-up data in the real world such as demography, treatment, and the disease course, a chronic database of patient status is established. In combination with age-period-cohort, logistic regression and Cox models, we apply the AutoAHP to assess disease risk and implement risk prediction in practice. RESULTS: A list of essential factors for risk prediction are identified, including annual changes in mental health policy, public support, regional difference, patient gender, compliance, and social function. After the verification of 1,222,038 complete disease course and treatment records of 256,050 patients, the AutoAHP framework achieves a precision of 0.923, a recall of 0.924, and a F1 of 0.923. The model is demonstrated to be superior to general models and has better performance in risk prediction. CONCLUSIONS: Aiming at the risk assessment of patients with schizophrenia which is influenced by factors, such as time, region and complication, the AutoAHP framework is able to be applied as a model in combination with logistic regression and Cox models to support clinical analysis of disease risk related factors and assist decision-making in chronic disease management.

Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobank.

AIMS: Observational studies have suggested strong associations between sleep duration and many cardiovascular diseases (CVDs), but causal inferences have not been confirmed. We aimed to determine the causal associations between genetically predicted sleep duration and 12 CVDs using both linear and nonlinear Mendelian randomization (MR) designs. METHODS AND RESULTS: Genetic variants associated with continuous, short (≤6 h) and long (≥9 h) sleep durations were used to examine the causal associations with 12 CVDs among 404 044 UK Biobank participants of White British ancestry. Linear MR analyses showed that genetically predicted sleep duration was negatively associated with arterial hypertension, atrial fibrillation, pulmonary embolism, and chronic ischaemic heart disease after correcting for multiple tests (P < 0.001). Nonlinear MR analyses demonstrated nonlinearity (L-shaped associations) between genetically predicted sleep duration and four CVDs, including arterial hypertension, chronic ischaemic heart disease, coronary artery disease, and myocardial infarction. Complementary analyses provided confirmative evidence of the adverse effects of genetically predicted short sleep duration on the risks of 5 out of the 12 CVDs, including arterial hypertension, pulmonary embolism, coronary artery disease, myocardial infarction, and chronic ischaemic heart disease (P < 0.001), and suggestive evidence for atrial fibrillation (P < 0.05). However, genetically predicted long sleep duration was not associated with any CVD. CONCLUSION: This study suggests that genetically predicted short sleep duration is a potential causal risk factor of several CVDs, while genetically predicted long sleep duration is unlikely to be a causal risk factor for most CVDs.

Individuals at ultra-high risk of psychosis and first-degree relatives of patients with schizophreniaexperience impaired family functionality and social support deficit in comparison to healthy controls.

AIM: The present study was designed to assess the role of family function and social support in the context of different phases of schizophrenia. METHODS: First-episode patients with experiences of schizophrenia (FEP), ultra-high risk for psychosis (UHR), first-degree relatives (FDR) of patients with experiences of schizophrenia, and healthy controls (HC) (40 per group) were subjected to in-person clinical interviews. The results of these interviews were then used to gauge social support and family function using the Perceived Social Support Scale (PSSS) and the Family Adaptability and Cohesion Scales (FACESII-CV). Data were analyzed through ANCOVA, correlation analysis and logistic regression analyses. RESULTS: We found that family function and social support showed a approximately gradual downward trend through the HC, FDR, UHR, and FEP groups but no significant differences were found in the family function of the FDR, UHR and FDR group. Logistic regression analyses indicated that UHR group patients exhibited decreased family support and family cohesion relative to members of the HC group, but had greater perceived social support than did members of the FEP group. Results for members of the FDR group were in line with those of members of the UHR group. CONCLUSIONS: These findings suggested that both UHR and FDR individuals experience impaired family functionality and social support which expanded the understanding of the psychological characteristics of the prodromal period of schizophrenia. Further explorations are warranted to develop optimal psychosocial interventions.

The Assessment of Sleep Quality in Patients Following Valve Repair and Valve Replacement for Infective Endocarditis: A Retrospective Study at a Single Center.

BACKGROUND The aim of this study was to measure sleep quality among patients who underwent infective endocarditis (IE) surgery and identify the risk factors involved in sleep disorders. MATERIAL AND METHODS In this study, we used actigraphy, the Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleep Scale (ESS) to determine the clinical characteristics of sleep disorders in 116 patients with IE who were in rehabilitation after surgery. RESULTS Our results showed that 46 (39.7%) patients had sleep efficiency over 85%, while 70 (60.3%) patients had sleep efficiency below 85%. The correlation analysis showed that sleep efficiency was related to the duration of the disease, with a longer duration leading to lower sleep efficiency (P=0.031). The sleep efficiency of patients with IE following surgery was also affected by alcohol consumption; however, surprisingly, patients with "heavy" alcohol consumption had higher sleep efficiency (P=0.030). We found a significant correlation between sleep efficiency and postoperative interleukin-6 (IL) levels, C-reactive protein (CRP) levels, and preoperative erythrocyte sedimentation rate (P<0.05). No significant correlation was found between brain natriuretic peptide levels and sleep efficiency, PSQI score, or ESS score. Postoperative hemoglobin (Hb) level was associated with sleep efficiency (R=0.194, P=0.036), but there was no statistically significant correlation between the PSQI and ESS scores. Postoperative alanine transaminase (ALT) showed a significant negative correlation with sleep efficiency (R=-0.27, P=0.003). CONCLUSIONS We found a high prevalence of sleep disorders in patients with IE along with an increase in inflammatory factors, including postoperative IL-6, CRP, ALT, and Hb levels.

Frequency and correlates of violence against patients with schizophrenia living in rural China.

BACKGROUND: Violence against patients with schizophrenia is very common, however it is rarely studied in China, especially in primary health care institutions of rural areas. Therefore, we investigated the frequency of violence against patients with community-living schizophrenia in rural China and examined its associated factors and impact on quality of life (QoL) and social function. METHOD: A survey was conducted among 487 patients with schizophrenia living in rural communities. Data about violent victimization experiences in the past 6 months, demographic information, and clinical characteristics were collected by questionnaires. RESULTS: We found that 92 (18.9%) of 487 subjects experienced at least one type of violent event in the past 6 months. Logistic regression analysis suggested that a history of conducting dangerous behaviors(OR = 1.702, P = 0.02, 95%CI: 1.05-2.73), higher Brief Psychiatric Rating Scale (anxiety domain) score (OR = 1.15, P = 0.02, 95%CI: 1.01-1.304) and lower hospitalization rates (OR = 0.89, P = 0.04, 95%CI: 0.81-0.99) were significantly associated with violent victimization in patients with schizophrenia. Analysis of covariance showed the victims of violence tended to have worse social function in patients with schizophrenia living in rural communities of China (P = 0.04). CONCLUSIONS: Individuals with schizophrenia living in rural China had a high risk of being exposed to violence and violent victimization of patients with schizophrenia had adverse consequences for social function. More attention is needed for those patients experiencing violent events, because they are simultaneously possible to conduct dangerous behaviors.

Relationship between sleep duration and sociodemographic characteristics, mental health and chronic diseases in individuals aged from 18 to 85 years old in Guangdong province in China: a population-based cross-sectional study.

BACKGROUND: Sleep is vital for maintaining individual's physical and mental health. Prior studies have reported close relationships between sleep duration and chronic diseases. However, in China, the prevalence of aberrant sleep duration and the associations between sleep duration and chronic conditions still merit studying in Guangdong province. This study aimed at examining the relationship between sleep duration and multiple dimensions of sociodemographic characteristics, mental health and chronic diseases in Guangdong province in China, with a large population-based data of individuals aged from 18 to 85 years old. METHODS: This study aimed at analyzing the sociodemographic and clinical characteristics of the population in Guangdong province. Multistage stratified cluster sampling was applied for this study. 13,768 participants from Guangdong province were interviewed with standardized assessment tools, including Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder (GAD-7). Basic socio-demographic information, mental health and chronic diseases information were collected. Self-reported sleep duration was classified as three types: short (< 7 h), normative (7-9 h) and long (≥9 h). RESULTS: The mean sleep duration was 6.75 ± 1.11 h. Short sleepers had a higher prevalence of chronic diseases, including anemia (6.2%, p = 0.024), gout (2.8%, p = 0.010), hyperlipidemia (3.9%, p = 0.003) and low back pain (5.6%, p = 0.020) than other types of sleeper. Multinomial logistic regression analysis revealed that short sleepers were more likely to have low income level, have depressive symptoms, be ex- or current drinkers and be overweight. Anemia, hyperlipidemia and low back pain were all risk factors for short sleep, while malignant tumor was risky for long sleep. CONCLUSIONS: Low income level, drinking status, being overweight, and chronic conditions may be associated with aberrant sleep duration in Guangdong province general population. Short sleepers have a higher risk of suffering from anemia, hyperlipidemia, and low back pain, while long sleepers are more likely to have malignant tumor. Health professionals should value the sleep patterns in general health care and attach importance to conduct further epidemiologic surveys to explore the relationship between sleep duration and health.

Prevalence and associated risk factors of insomnia among pregnant women in China.

BACKGROUND: Insomnia is common during pregnancy but the prevalence and risk factors of insomnia in Chinese women during pregnancy is not well studied. This study aimed to examine the prevalence of insomnia and its risk factors in Chinese women during pregnancy. METHODS: In this cross sectional study, 436 Chinese pregnant women with Insomnia Severity Index (ISI) ≥ 8 were clinically assessed using the insomnia criteria based on the combination of DSM-IV (Diagnostic and Statistical Manual-4th Edition) and ICD-10 (International Classification of Dieases, 10th Edition). Beck Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS), Pregnancy Pressure Scale (PPS), Perceived physical discomfort level and number, Epworth Sleepiness Scale (ESS), and a general socio-demographic questionnaire were administered. RESULTS: The results showed that about 20% of the pregnant women met the strict diagnosis criteria of insomnia. Independent-samples t-test revealed that several risk factors were correlated with the group with insomnia (N = 84) compared to the group without insomnia (N = 352). Binary Logistic regression analysis found that more significant bed partner influence (OR = 1.92, 95% CI: 1.03-3.60), depressive symptoms (OR = 1.07, 95% CI: 1.00-1.14), daytime sleepiness (OR = 1.07, 95% CI: 1.01-1.14), subjective somatic discomfort (OR = 2.27, 95% CI: 1.11-4.65), kinds of somatic discomfort (OR = 1.14, 95% CI: 1.03-1.27) and later gestation (OR = 1.05, 95% CI: 1.01-1.09) were significantly associated with insomnia. CONCLUSION: In this cohort of Chinese pregnant women, about a fifth of women suffered from clinically significant insomnia. Measures to prevent the adverse effects of insomnia should be provided to pregnant women with depressive symptoms, Sleep disturbance of the bed partner, excessive daytime sleepiness and somatic discomfort, especially late in gestation.

Association between residual symptoms and social functioning in patients with depression.

OBJECTIVE: There is a lack of data about residual symptoms in Chinese patients with depression. The aim of this study was to evaluate the association of residual symptoms with social functional impairment in these patients. METHODS: This was a multicenter cross-sectional study conducted in 11 hospitals in eight cities of China from September 2014 to April 2015. Residual symptoms and social functioning were assessed using the SDS, QIDS-SR16, Q-LES-Q-SF, and PHQ-15 scales. Logistic regression analysis was used to determine the factors associated with social functional impairment. RESULTS: Among the 1503 patients, 915 (60.9%) had no functional impairment (SDS ≤6) and 588 (39.1%) showed functional impairment (SDS >6). Those with impairment had higher PHQ-15 scores (7.4 ± 4.8 vs. 4.0 ± 3.4, P < 0.0001), lower Q-LES-Q-SF scores (all items P < 0.0001), higher SDS scores (13.9 ± 5.7 vs. 2.8 ± 2.2, P < 0.0001), and higher scores for all QIDS dimensions (all P < .0001). The factors related to functional impairment included QIDS dimension 7 (loss of interest) (OR = 2.137, 95%CI 1.600-2.853, P < 0.0001), QIDS dimension 9 (mental anxiety) (OR = 1.627, 95%CI 1.215-2.180, P = 0.0011), QIDS dimension 3 (appetite) (OR = 1.502, 95%CI 1.141-1.977, P = 0.0037), QIDS dimension 8 (energy) (OR = 1.468, 95%CI 1.092-1.973, P = 0.0110), age (OR = 0.982, 95%CI 0.971-0.993, P = 0.0013), disease course (OR = -1.004, 95%CI 1.002-1.006, P = 0.0004), and QIDS dimension 1 (sleep disorders) (OR = 1.622, 95%CI 1.068-2.463, P = 0.0232). CONCLUSION: Compared with patients with normal social function, cases with impaired social function have more physical symptoms, more residual symptoms of depression, and less satisfaction with the quality of life. Residual symptoms are associated with social functional impairment in patients with depression.

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia.

BACKGROUND: With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade. METHODS: Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis. RESULTS: The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients' cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk. CONCLUSIONS: Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.

Sexual dysfunction in Chinese rural patients with schizophrenia.

BACKGROUND: Sexual dysfunction is common in patients with schizophrenia, however it is poorly studied in China, especially in primary health care institutions in rural areas. We investigated the prevalence of sexual dysfunction and its correlates including quality of life (QoL), in schizophrenia patients treated in primary care in a rural area in China. METHOD: By using a random numbers table, 21 small town primary care service centers (from 63 totally) were selected in the study. Data of 720 community-dwelling patients with schizophrenia in rural area with diagnoses according to DSM -IV or ICD-10 were collected by interviews. Data on socio-demographic and clinical characteristics including sexual dysfunction and quality of life (QoL) were collected using a standardized protocol and data collection procedure. Data were analyzed using chi-square tests, t-tests, U-tests, ANCOVA and multiple logistic regression as appropriate by SPSS 21.0.The level of significance was set at 0.05 (two-tailed). RESULTS: In this sample, sexual dysfunction was found in 71.3% of the whole sample, 82.7% of female patients and 64.5% of male patients. Multiple logistic regression analysis showed that older age (OR = 1.06, P<0.001, 95%CI: 1.04-1.09) and higher Brief Psychotic Rating Scale (negative domain) score (OR = 1.16, P = 0.01, 95%CI: 1.02-1.31) were significantly associated with sexual dysfunction. Contrary to previous findings, sexual dysfunction was not associated with quality of life after controlling for confounding variables. CONCLUSIONS: More than 2/3 of schizophrenia patients living in a rural area complained of sexual dysfunction, which was associated with older age and more negative psychotic symptoms. Primary care physicians should pay attention to sexual dysfunction during the assessment and treatment of patients with schizophrenia in rural areas in China.

Psychotropic medication treatment patterns in community-dwelling schizophrenia in China: comparisons between rural and urban areas.

BACKGROUND: To date no study has compared more specifically the psychotropic medication treatment patterns for patients with schizophrenia living in community between rural and urban areas. This study examined the rural-urban differences of the use of psychotropic drugs among community-dwelling individuals with schizophrenia in China. METHOD: Data on 993 community-dwelling patients with schizophrenia (n = 479 in rural area and n = 514 urban area) were collected by interviews during 2013-2014, and 2015-2016 according to the diagnosis of DSM-IV or ICD-10. Data on patients' socio-demographic and clinical characteristics, prescriptions of psychotropic drugs were collected using a standardized protocol and data acquisition procedure. RESULTS: Multivariate analyses revealed that in comparison with the rural counterparts, the patients from the urban area were significantly more frequently prescribed antipsychotic polypharmacy, clozapine, and benzodiazepines, but the patients from the rural area had more frequently prescribed anticholinergics. CONCLUSIONS: Substantial variations in psychotropic medication treatment patterns for patients with schizophrenia living in community were found between rural and urban areas in China. Common use of antipsychotic polypharmacy, clozapine and benzodiazepines in urban area, and anticholinergics in rural area need to be further addressed.

The Prevalence of Sleep Disturbances and Sleep Quality in Older Chinese Adults: A Comprehensive Meta-Analysis.

Objective: This is a meta-analysis of the pooled prevalence of insomnia-specific sleep disturbances (sleep disturbances thereafter) and sleep quality in older Chinese adults. Method: Both English (PubMed, Embase and PsycINFO) and Chinese (Chinese National Knowledge Infrastructure [CNKI], WanFang and SinoMed) databases were systematically searched. Data extraction and quality assessment were independently performed by two investigators. Random-effects model was performed to pool the prevalence of sleep disturbances and sleep quality. Subgroup and meta-regression analyses were performed to explore the source of heterogeneity. Funnel plots, Egger's regression model, and Begg's test were used to assess publication bias. Results: A total of 47 studies were included. The pooled prevalence of sleep disturbances was 35.9% (95% CI: 30.6%-41.2%). Older adults in rural areas had higher prevalence of sleep disturbances than their counterparts in urban areas. Sleep quality was measured by the Pittsburgh Sleep Quality Assessment (PSQI) in all studies with available data. In the 27 studies with available data, the pooled mean PSQI total score was 6.64 (95% CI: 6.14-7.13). There was no significant difference between genders and between rural and urban areas. Compared to men, women had higher mean scores in sleep latency (Q = 23.62, p < 0.001), sleep efficiency (Q = 12.08, p = 0.001), and use of sleep-promoting medications (Q = 4.07, p = 0.044). Conclusion: Sleep disturbances are common in older Chinese adults, particularly in older women.

Suicidality and clinical correlates in Chinese men who have sex with men (MSM) with HIV infection.

Little is known about suicidality in Chinese men who has sex with men (MSM) infected with human immunodeficiency virus (HIV). This study investigated suicidality and its clinical correlates in Chinese MSM with HIV infection. Suicidality, demographic and clinical characteristics were assessed in 410 MSM with HIV infection consecutively recruited from a public HIV clinic in China. The prevalence of suicidality was 10.7% in Chinese HIV-infected MSM. Compared with those without suicidality, MSM with suicidality were more likely to be younger, unmarried and unemployed, and have more frequent insomnia, lower CD4 lymphocyte counts, and higher GAD-7 and CSE-D total scores. Multiple logistic regression analyses revealed that suicidality was independently associated with unemployment (p = 0.03, OR = 0.3, 95% CI = 0.1-0.9), age (p < 0.01, OR = 0.9, 95% CI = 0.8-0.9), CD4 lymphocyte counts (p = 0.02, OR = 0.9, 95% CI = 0.9-1.0), and the GAD-7 total score (p < 0.001, OR = 1.3, 95% CI = 1.1-1.5). Suicidality is common in Chinese MSM with HIV infection. There is an urgent need to develop comprehensive suicide prevention program and mental health services for this population.

Prevalence of sleep disturbances in Chinese university students: a comprehensive meta-analysis.

This is a meta-analysis of the pooled prevalence of sleep disturbances and its associated factors in Chinese university students. English (PubMed, PsycINFO, Embase) and Chinese (SinoMed, Wan Fang Database and Chinese National Knowledge Infrastructure) databases were systematically and independently searched from inception until 16 August 2016. The prevalence of sleep disturbances was pooled using random-effects model. Altogether 76 studies involving 112 939 university students were included. The overall pooled prevalence of sleep disturbances was 25.7% (95% CI: 22.5-28.9%). When using the screening scales Pittsburgh Sleep Quality Index, Athens Insomnia Scale and Self-Rating Sleeping State Scale, and the diagnostic criteria of the Chinese Classification of Mental Disorders (Second Edition), the pooled prevalence of sleep disturbances was 24.1% (95% CI: 21.0-27.5%) and 18.1% (95% CI: 16.4-20.0%), respectively. The percentages of students dissatisfied with sleep quality and those suffering from insomnia symptoms were 20.3% (95% CI: 13.0-30.3%) and 23.6% (95% CI: 18.9-29.0%), respectively. Subgroup analyses revealed that medical students were more vulnerable to sleep disturbances than other student groups. There was no significant difference between males and females, and across geographic locations. Sleep disturbances are common in Chinese university students. Appropriate strategies for prevention and treatment of sleep disturbances in this population need greater attention.