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• Screening tools for borderline personality disorder (BPD) generally use at least 9 diagnostic items (criterion). • This study has developed a shorter version of the 15-item self-report measurement of the borderline scale of the SCID-II. • A new-scaled screening tool for BPD (Short-Bord) comprised five items derived by correlational and Rasch analyses. • The Short-Bord is unidimensional, reliable tool, and is comparable to the original 15 item regarding diagnostic accuracy. The study aimed to development a short screening scale for borderline personality disorder (Short-Bord), and to validate its psychometric properties using Rasch analysis. Ninety-eight outpatients undergoing psychotherapy were evaluated using a semistructured diagnostic interview for DSM-IV Personality disorders. Correlational analysis and Rasch analysis were used to identify the best-fitted items for the shorter scale. Rasch analysis identified three underfitted items. The best five items were selected for the Short-Bord using two analyses, resulting in two sets of Short-Bord which included item 1 (becoming frantic when someone left), item 2 (up- and- down relationships), item 3 (sudden change of sense of self), item 8 (self-harm or suicide), item 9 (self-mutilation), item 10 (sudden mood change) and item 11 (feeling empty inside). Each set of the five-item Short-Bord were tested against the original 15-item BPD scale. Results showed that both sets of the Short-Bord yielded minimally lower in area under curve (AUC = 0.95 and 0.96, respectively) compared with the total score of 15 items (AUC = 0.97), but none significantly differed (chi-square = 0.89-2.87, df 1, p >.05). Internal consistency for the set from Rasch analysis was slightly higher than correlation methods (Cronbach's alpha = 0.80, and 0.78, respectively). The Short-Bord presents promising tool to screen for borderline personality disorder. Its diagnostic validity was comparable to the total 15 items despite completing in a shorter time. The Short-Bord derived from Rasch analysis was, however, preferable as all items were shown to have unidimensional construct with good fit statistics and good internal consistency. [ABSTRACT FROM AUTHOR]

• This work is one of few studies to date analyzing adult attachment styles and suicidality in older people. • High level of anxiety attachment was associated with some types of suicidality and increases level of suicide risk in the elderly. • Depression may play a role in the relationship between anxiety attachment and suicidality. Attachment styles reflect interpersonal relationship patterns in many ways. Although there is increasing evidence regarding the relationship between attachment styles and suicidality in adults, few studies have been conducted among the elderly population. Present study aims to investigate the link between attachment style and risk of suicidality in elderly people. A secondary analysis of cross-sectional data among geriatric outpatients at psychiatric clinics in Thailand with respect to whether patients had depressive disorders according to DSM-IV by using Mini-Neuropsychiatric Interviews (MINI). MINI-Module C was used to assess suicidality. Other measures included the experience of close relationship questionnaire and a brief cognitive assessment, Mental Status Examination T10. One-hundred and ninety-one elderly people were included, 50.8% females and 119 (62.3%) had depressive disorder. Anxiety attachment predicted suicidality, determined with questions related to the following areas; "want to hurt myself", "suicidal ideation", "suicidal planning", and "suicidal attempted in lifetime". Anxiety attachment style was significantly increased the level of suicide risk. We concluded that high anxious attachment, such as preoccupied attachment style, was associated with suicidality in elderly people. Further investigation focusing on variables associated with attachment and suicidality, particularly depression or anxiety, is warranted. [ABSTRACT FROM AUTHOR]

Highlights • The prevalence of depressive and anxiety disorders, and suicide risk were found to be high in the tertiary care setting. • Psychosocial variables including perceived stress, perceived social support, depressive score, core index score, and neuroticism were significantly higher in all clinical disorders and one suicide group compared with nonclinical subjects. • The quality of life of patients with comorbidities of anxiety and depressive disorders was worse than that of the group with depressive or anxiety disorders alone. Abstract Objective The study investigated the prevalence of depressive and anxiety disorders and suicide risk in geriatric outpatients in tertiary care hospitals. Materials and methods An observational, cross-sectional study was conducted with 803 participants aged 60 and above attending geriatric outpatient clinics in tertiary care hospitals in Thailand. Participants were assessed using DSM-IV-TR criteria to calculate the prevalence of deressive and anxiety disorders, and their suicide risk. Montreal Cognitive Assessment (MoCA), Perceived Stress Scale (PSS), Multidimensional Scale of Perceived Social Support, Core Symptom Index (CSI), 15-item Geriatric Depression Scale (GDS-15), Neuroticism Inventory (NI) and the Revised Experience of Close Relationships Questionnaire (ECR-R) were administered. Quality of life was assessed using the EuroQoL (EQ-5D). Results The prevalence rate for depressive disorders was 23.7%, anxiety disorders was 6.4%, and current suicide risk was 20.4%. PSS, MSPSS, GDS, CSI, and NI scores were significantly higher in all clinical disorders and a suicide group compared with nonclinical subjects. MoCA and ECR-R did not differentiate between clinical disorder and nonclinical samples. Comparing all four outcomes, the EQ-5D differed most in the mixed depressive-anxiety disorder and nonclinical groups (t = 12.20, p <.001). Conclusion The present findings revealed a high prevalence of depression, anxiety and suicidality among elderly patients attending tertiary care hospitals. Perceived stress, perceived social support, and neuroticism scores were significantly higher in this group. Role of sociodemographic, clinical and psychosocial variables as risk factors for these clinical disorders should be further examined. [ABSTRACT FROM AUTHOR]

Introduction Internet addiction is common among medical students, and the prevalence is higher than the general population. Identifying and creating solutions for this problem is important. The aim of this study was to examine the prevalence and associated factors, particularly loneliness and interpersonal problems among Chiang Mai medical students. Materials and methods Of 324 first to sixth year medical students, 56.8% comprised females with a mean age of 20.88 (SD 1.8). All completed questionnaires related to the objectives and activities of internet use, the Young Internet Addiction Test, the UCLA loneliness scale, and the Interpersonal Problems Inventory were employed to identify internet addiction. Results In all, 36.7% of the subjects exhibited internet addiction, mostly at mild level. Amount of time used daily, loneliness and interpersonal problems were strong predictors (beta = 0.441, p < 0.05, beta = 0.219, p < 0.001 and beta = 0.203 p < 0.001, respectively), whereas age and sex were not. All objectives of using internet contributed to the variance of internet addiction score. For internet activities, only non-academic or studying contributed. The final model accounted for 42.8% of total variance of the internet addiction score. Conclusion Even though most addiction was at a mild level, careful strategies should be applied to better understand the situation. Along with a screening for potential internet addiction among medical students, attention should be paid to identifying those who experience loneliness and interpersonal problems, because both are strong predictors that can be improved by a variety of appropriate intervention. [ABSTRACT FROM AUTHOR]

Abstract: In this study we explore the association between attachment dimension (anxiety and avoidance), attachment style (secure, preoccupied, fearful and dismissing), self-esteem and romantic relationships, as determined by relationship status, relationship satisfaction and the length of relationships in 398 young Thai people. For the results, males scored higher in terms of both attachment anxiety and avoidance than the females, and this is consistent with other Asian cultures when compared to their western counterparts. It was found that non-romantic attachment as well as self-esteem does not predict the status of a relationship; however, romantic attachment avoidance predicts the level of relationship satisfaction, though with no difference between men and women. The lack of variables associated with the length of a relationship and relationship satisfaction, highlight the fact that other involved factors remain unstudied. The limitations of the study are also discussed. [Copyright &y& Elsevier]

Background: The COVID-19 pandemic has had a negative impact on both the physical and mental health of individuals worldwide. Evidence regarding the association between mental health problems and information exposure among Thai citizens during the COVID-19 outbreak is limited. Objective: This study aimed to explore the relationship between information exposure and mental health problems during the COVID-19 pandemic in Thailand. Methods: Between April 21 and May 4, 2020, we conducted a cross-sectional, nationwide online survey of the general population in Thailand. We categorized the duration of exposure to COVID-19-related information as follows: <1 h/day (reference group), 1-2 h/day, and ≥3 h/day. Mental health outcomes were assessed using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 scale, the Perceived Stress Scale-10, and the Insomnia Severity Index for symptoms of depression, anxiety, perceived stress, and insomnia, respectively. Multivariable logistic regression models were used to evaluate the relationship between information exposure and the risk of developing the aforementioned symptoms. An ancillary analysis using multivariable multinomial logistic regression models was also conducted to assess the possible dose-response relationship across the severity strata of mental health problems. Results: Of the 4322 eligible participants, 4004 (92.6%) completed the online survey. Of them, 1481 (37.0%), 1644 (41.1%), and 879 (22.0%) participants were exposed to COVID-19-related information for less than 1 hour per day, 1 to 2 hours per day, or 3 or more hours per day, respectively. The major source of information related to the COVID-19 pandemic was social media (95.3%), followed by traditional media (68.7%) and family members (34.9%). Those exposed to information for 3 or more hours per day had a higher risk of developing symptoms of depression (adjusted odds ratio [OR] 1.35, 95% CI 1.03-1.76; P =.03), anxiety (adjusted OR 1.88, 95% CI 1.43-2.46; P <.001), and insomnia (adjusted OR 1.52, 95% CI 1.17-1.97; P =.001) than people exposed to information for less than 1 hour per day. Meanwhile, people exposed to information for 1 to 2 hours per day were only at risk of developing symptoms of anxiety (adjusted OR 1.35, 95% CI 1.08-1.69; P =.008). However, no association was found between information exposure and the risk of perceived stress. In the ancillary analysis, a dose-response relationship was observed between information exposure of 3 or more hours per day and the severity of mental health problems. Conclusions: These findings suggest that social media is the main source of COVID-19-related information. Moreover, people who are exposed to information for 3 or more hours per day are more likely to develop psychological problems, including depression, anxiety, and insomnia. Longitudinal studies investigating the long-term effects of COVID-19-related information exposure on mental health are warranted. [ABSTRACT FROM AUTHOR]