BackgroundSuicidal patients admitted to a psychiatric hospital are considered to be at risk of suicidal behavior (SB) and suicide. The present study aimed to seek predictors of SB recurrence of the high-risk patients by examining their post-hospitalization course.MethodThe design was 2-year prospective follow-up study of patients consecutively admitted with SB to a psychiatric center in Tokyo. The DSM-IV diagnoses and SB-related features of subjects were determined in structured interviews. Subsequently, the subjects underwent a series of follow-up assessments at 6-month intervals. The assessment included inquiries into SB recurrence, its accompanying suicidal intent (SI) and SF-8 health survey. Analyses of serial change over time in the follow-up data and Cox proportional hazards regression analyses of SB recurrence were performed.Results106 patients participated in this study. The dropout rate during the follow-up was 9%. Within 2 years, incidences of SB as a whole, SB with certain SI (suicide attempt) and suicide were 67% (95% CI 58 - 75%), 38% (95% CI 29 - 47%) and 6% (95% CI 3 - 12%), respectively. Younger age, number of lifetime SBs and maltreatment in the developmental period were predictive of SB as a whole, and younger age and hopelessness prior to index admission were predictive of suicide attempt. Regarding diagnostic variables, anxiety disorders and personality disorders appeared to have predictive value for SB. Additionally, poor physical health assessed during the follow-up was indicated as a possible short-term predictor of SB recurrence.ConclusionsThis study demonstrated a high incidence of SB and suicide and possible predictors of SB recurrence in the post-hospitalization period of psychiatric suicidal patients. Specialized interventions should be developed to reduce the suicide risk of this patient population.

Aims: Suicidal behavior (SB) is a major mental health problem. The research has identified many factors related to SB, such as problems in the developmental period and psychiatric and personality disorders. However, the interrelation of these factors has not been clearly delineated. Methods:The subjects were 155 patients consecutively admitted with SB to a psychiatric center in Tokyo. Structured interviews, including the Structured Clinical Interview for DSM-IV (SCID)-I and SCID-II, were conducted to determine characteristics of the SB-related factors. To illustrate their interrelation, this study applied the technique of structural equation modeling. The latent constructs of lifehistorical events, borderline personality disorder (BPD) features and three symptomatic disorders (depression, anxiety disorders and substance dependence) were aligned in the chronological order of their manifestation, and connected one another within the model. Indicator variables of life-historical events were maltreatment in the developmental period and early onset of problematic behaviors. Indicators of BPD features and symptomatic disorders included the scales composed of the items in the SCID-I and II.Results: The constructed model with favorable goodness-of-fit indices confirmed that BPD features had a mediating role in which they were influenced by life-historical events, and exerted an influence on the symptomatic disorders. Outside the BPDmediating paths, the model suggested three clinically interpretable links between life-historical events and symptomatic disorders. Conclusions:The model of this study demonstrated the pathways from life-historical events and BPD to symptomatic disorders, and indicated a generating process of psychiatric comorbidity among suicidal patients. The wide-range view this study portrayed has important clinical implications, and deserves further substantiation by future studies.

Road meteorological observatories measure visibility with visibility meters. However, visibility values measured by visibility meters stem from the meteorological definition, which comes from a perspective different from that of road use. Subject experiments were therefore conducted with road videos in blowing snow conditions to clarify the difference between visibility perceived by drivers and that measured with a visibility meter. The experiments revealed that visibility perceived by drivers in blowing snow was approximately 70 m lower than conventionally measured visibility. Also, a high correlation was observed between the visibility perceived by drivers and the sum total of projected area of snow particles passed through a unit area in a unit time. It was also learned that the visibility perceived by drivers during blowing snow was affected by the intensity of visibility fluctuation, the presence or absence of snowfall, road surface conditions, the surrounding environment (i.e., urban or suburban), and the time of day, and is hardly influenced at all by the direction of the snowstorm. On the basis of the above results, the need for a visibility index for road traffic in blowing snow was suggested.