RESUMO
The purpose of this study was to evaluate the psychometric features of the Chinese version of the developmental dimensional diagnostic interview-short version (3Di-sv). A total sample of 138 children including 79 children with autism spectrum disorder (ASD) and 59 typically developing children completed the 3Di-sv interview. The Chinese version of the 3Di-sv has a good internal consistency (0.94). Test-retest analysis confirmed the instrument's time stability (0.89). The instrument's concurrent validity with the Autism Behavior Checklist (ABC), the Childhood Autism Rating Scale (CARS) and clinical diagnosis was verified; the correlation between total scores was 0.72, 0.82 and 0.90, respectively. The 3Di-sv significantly distinguished between autistic children and non-autistic children in every area of autism symptoms. Optimal cutoffs were derived using receiver operating characteristics curves. Using clinical diagnosis as criterion, overall sensitivity was 98 % and specificity was 90 %. The study determined that the Chinese version of 3Di-sv can well distinguish autistic children from typically developing children.
Assuntos
Transtorno do Espectro Autista , Transtorno Autístico , Criança , Humanos , Transtorno do Espectro Autista/diagnóstico , Transtorno Autístico/diagnóstico , População do Leste Asiático , Reprodutibilidade dos Testes , Curva ROCRESUMO
BACKGROUND: Internet is gradually reshaping adolescents' behaviors in China. It is important to identify the prevalence and risk factors to predict Internet addiction among adolescent psychiatric patients. METHODS: The survey was conducted among inpatient or outpatient adolescent patients with mental disorders. All participants were interviewed face-to-face and completed Young Internet Addiction Test and other relevant assessments. Binary logistic regression analysis was used to exam between-group differences of internet addiction. RESULT: The prevalence for internet addiction (mild to severe) in adolescent psychiatric patients was 80.2%, where the prevalence for "medium and severe internet addiction was 25.5%. Logistic regression analysis identified two independent predictors for "medium and severe internet addiction" including the total score of Adolescent Non-suicidal-self-injury (NSSI) Behavior Function Assessment Scale (ANBFAS) and the diagnosis of generalized anxiety disorder (GAD) (R2 =0.27, p = .02 for total ANBFAS score, p = .01 for GAD) in psychiatric adolescent patients. CONCLUSION: The prevalence of internet addiction is notably high among adolescent psychiatric patients in China. Coping for Internet addiction in adolescent psychiatric patients should conclude the coping of NSSI and GAD.
Assuntos
Transtorno de Adição à Internet , Comportamento Autodestrutivo , Humanos , Adolescente , China/epidemiologia , Comportamento Autodestrutivo/epidemiologia , Comportamento Autodestrutivo/psicologia , Transtornos de Ansiedade , Inquéritos e Questionários , InternetRESUMO
BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.