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1.
Int J Disaster Risk Reduct ; 81: 103250, 2022 Oct 15.
Article in English | MEDLINE | ID: mdl-36032696

ABSTRACT

Coronavirus disease 2019 (COVID-19) infection prevention measures have led to a variety of mental health issues. Although several self-care methods have been recommended for those quarantined, evidence regarding how best to support quarantined people experiencing a mental health crisis is limited. In February 2020, the Diamond Princess cruise ship was quarantined in Yokohama port, Japan following a passenger testing positive for COVID-19. We were sent to address the mental health issues as the Disaster Psychiatric Assistance Team (DPAT). In the present study, we examined the acute mental health needs of the passengers and crew collected by the DPAT using the standard Emergency Medical Team daily reporting system. We assessed 206 cases (99 men and 107 women) with generic health issues and 127 cases (39 men and 88 women) with mental health issues. Mental health issues including disaster stress-related symptoms were as frequent as physical health events associated with COVID-19. The most significant mental health issue was anxiety, as an acute psychological reaction to the quarantine situation. Women and crews most frequently needed mental health support. Mental health improved in most clients after brief counseling. Although several passengers experienced suicidal ideation, there were no cases of actual suicide attempts during the quarantine period. This case has been regarded as a well-known public health event at the beginning of the COVID-19 era. In addition to physical health support, disaster mental health support was essential to save lives. Our findings may facilitate responses to future quarantines, accidents, and mental health crises.

2.
Alcohol ; 101: 9-16, 2022 06.
Article in English | MEDLINE | ID: mdl-35306110

ABSTRACT

Although screening tools are available for alcohol use disorders (AUD), such as the Alcohol Use Disorders Identification Test (AUDIT), these tools do not directly characterize individual drinking behavior for patients with AUD. Therefore, the aim of this study was to develop a new self-report questionnaire to identify the characteristics of drinking behavior patterns in patients with AUD.The study team developed a self-administered 20-item questionnaire for drinking behavior pattern (DBP-20) based on semi-structured interviews of patients with AUD. The DBP-20 and AUDIT were administered to 232 patients with AUD and 222 normal drinkers (1 ≤ AUDIT <20) as controls. Exploratory factor analysis of the DBP-20 was conducted for patients with AUD, followed by comparisons of its item and subscale scores between patients with AUD and controls. Correlations of AUDIT with total and subscale scores of the DBP-20 were also analyzed. Receiver operating characteristic (ROC) analyses for the DBP-20 and its subscales were performed to distinguish patients with AUD from controls.Exploratory factor analysis revealed a multidimensional 4-factor model of the DBP-20: coping with negative affect, automaticity, enhancement, and social use. Significant differences in DBP-20 total and subscale scores were observed for patients with AUD versus controls for all factors, except the social use subscale. Both the coping with negative affect and automaticity subscale scores as well as total DBP-20 scores were highly correlated with AUDIT scores. Total DBP-20 scores showed the greatest sensitivity, negative predictive value, and area under the ROC curve to distinguish patients with AUD from normal drinkers.Drinking as a means of coping with negative affect and automaticity may be specific for patients with AUD. DBP-20 may help patients with AUD to be aware of their own targeted problematic drinking behaviors and to seek their personalized behavioral approaches in a collaborative relationship with therapists.


Subject(s)
Alcoholism , Alcohol Drinking , Alcoholism/diagnosis , Alcoholism/therapy , Humans , Mass Screening/methods , Self Report , Surveys and Questionnaires
4.
Biol Psychiatry ; 80(8): 636-42, 2016 10 15.
Article in English | MEDLINE | ID: mdl-26876947

ABSTRACT

BACKGROUND: Clozapine-induced agranulocytosis (CIA)/clozapine-induced granulocytopenia (CIG) (CIAG) is a life-threatening event for schizophrenic subjects treated with clozapine. METHODS: To examine the genetic factor for CIAG, a genome-wide pharmacogenomic analysis was conducted using 50 subjects with CIAG and 2905 control subjects. RESULTS: We identified a significant association in the human leukocyte antigen (HLA) region (rs1800625, p = 3.46 × 10(-9), odds ratio [OR] = 3.8); therefore, subsequent HLA typing was performed. We detected a significant association of HLA-B*59:01 with CIAG (p = 3.81 × 10(-8), OR = 10.7) and confirmed this association by comparing with an independent clozapine-tolerant control group (n = 380, p = 2.97 × 10(-5), OR = 6.3). As we observed that the OR of CIA (OR: 9.3~15.8) was approximately double that in CIG (OR: 4.4~7.4), we hypothesized that the CIG subjects were a mixed population of those who potentially would develop CIA and those who would not develop CIA (non-CIA). This hypothesis allowed the proportion of the CIG who were non-CIA to be calculated, enabling us to estimate the positive predictive value of the nonrisk allele on non-CIA in CIG subjects. Assuming this model, we estimated that 1) ~50% of CIG subjects would be non-CIA; and 2) ~60% of the CIG subjects without the risk allele would be non-CIA and therefore not expected to develop CIA. CONCLUSIONS: Our results suggest that HLA-B*59:01 is a risk factor for CIAG in the Japanese population. Furthermore, if our model is true, the results suggest that rechallenging certain CIG subjects with clozapine may not be always contraindicated.


Subject(s)
Agranulocytosis/chemically induced , Agranulocytosis/genetics , Clozapine/adverse effects , HLA-B Antigens/genetics , Pharmacogenomic Testing , Adult , Alleles , Asian People/genetics , Case-Control Studies , Female , Genetic Predisposition to Disease/genetics , Genotype , Histocompatibility Testing , Humans , Male , Risk Factors , Sensitivity and Specificity , Young Adult
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