Childhood trauma has a significant impact on the development of adolescents, which may lead to interpersonal and psychological problems. Determining the incidence and consequences of childhood trauma in psychiatric clinical practice is of great significance.A survey was conducted among adolescents with mood disorders. Childhood Trauma Questionnaire (CTQ), the Adolescent Non-Suicidal-Self-Injury Behavior Function Assessment Scale (ANBFAS) and a series of psychological scales were filled face to face. Path analysis was used to examine the causation structure of childhood trauma-related symptoms.A total of 117 participants (74.5%) had experienced at least one type of trauma. Interpersonal and psychological features of adolescent patients with childhood trauma were detailed in this study. The path analysis model showed that the relationships between childhood trauma and NSSI were mediated by depressive symptoms and thinking disorders, respectively, whereas depressive symptoms individually mediated the correlation between childhood trauma and sleep disturbances in adolescent patients with psychiatric disorders (χ2 /df = 1.23).For adolescent patients with childhood trauma, psychological counseling for interpersonal relationships should start with families and peers. It is important to treat their depressive symptoms and thinking disorders and alleviate NSSI behavior and sleep disorders.
Much confusion exists between health-related QoL (HRQoL) scales and subjective QoL (SQoL) scales. One method to avoid confusion is use of a single question that asks What is your quality of life? or similar. This study explored the relationship between biopsychosocial factors and high SQoL, SQoL stability, and factors associated with improving SQoL.
Abstract 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.
Mental health literacy (MHL) is rarely reported in the Chinese elderly. This study explored the pattern of MHL in the Chinese elderly in relation to depression, anxiety and poor sleep quality.A cross-sectional study was conducted among older adults in Guangzhou, south China. Participants were investigated face-to-face using the Chinese National Mental Health Literacy Scale, the Patient Health Questionnaire-9 item (PHQ-9), the 7-item Generalized Anxiety Disorder (GAD-7) and the Pittsburgh Sleep Quality Index (PSQI). Mental Health Literacy Scale contains three dimensions: mental health knowledge, mental health skills (such as social support, cognitive reappraisal and attentional distraction) and mental health awareness. Multivariate logistic regression was used for examining the association between MHL and mental health.A total of 506 older adults were recruited. The percentage of depression, anxiety, and poor sleep quality were 16.6%, 7.9% and 40.9%, respectively. MHL dimensions independently associated with depression included cognitive reappraisal (OR = 1.95, p < .001), attentional distraction (OR = 0.61, p = 0.044) and awareness (OR = 0.56, p = 0.027). MHL dimensions independently associated with anxiety symptoms included cognitive reappraisal (OR = 1.90, p = 0.011) and attentional distraction (OR = 0.44, p = 0.016). MHL dimensions independently associated with poor sleep quality included social support (OR = 0.75, p = 0.022), cognitive reappraisal (OR = 1.55, p = 0.003) and attentional distraction (OR = 0.65, p = 0.016).Given the low MHL and its association with poor mental health in the Chinese elderly, policymakers and health professionals should improve the older adults' MHL, which could be conducive to the prevention and control of their mental health problems.
The present study was designed to assess the role of family function and social support in the context of different phases of schizophrenia.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.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.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.
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.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.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.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.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)
