Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder

Husain, Syeda Fabeha; Tang, Tong-Boon; Yu, Rongjun; Tam, Wing; Tran, Bach Xuan; Quek, Travis T. C.; Hwang, Shi-Hui; Chang, Cheryl W.; Ho, Cyrus S.H.; Ho, Roger

doi:10.1016/j.ebiom.2019.11.047

Cited by 121 publications

(94 citation statements)

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“…This screening process should be conducted proactively in a convenient and practical manner to allow students to receive appropriate and timely interventions before the experience of stress, depression and lack of social support escalates to suicidality. Future research is to correlate the diagnostic accuracy of the SI-Bord and latest functional near infrared spectroscopy which could distinguish depressive disorder and borderline personality disorder [51].…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a screening instrument for borderline personality disorder (SI-Bord) for use among university students

et al. 2020

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Background The screening instrument for borderline personality disorder (SI-Bord) consists of a 5-item self-reported questionnaire on the key features of BPD from the DSM-5 using a 5-point Likert scale. This study investigated its validity and reliability in screening for BPD in university students. Methods A cross-sectional study was conducted on a sample of university students in Thailand between November and December 2019. An online assessment gathered demographic data and results from the SI-Bord, the Perceived Stress Scale-10 (PSS-10) and the Patient Health Questionnaire-9 (PHQ-9). Participants whose SI-Bord scores were ≥ 1 were randomly selected to be interviewed and assessed for a BPD diagnosis by four psychiatrists using the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II) as a reference point. An intraclass correlation coefficient (ICC) of 0.925 (95% CI, 0.805–0.979) ensured inter-rater reliability between the four psychiatrists. The diagnostic sensitivity and specificity of the SI-Bord, as compared to that of the SCID-II, were determined to indicate the cut-off score. The Receiver Operating Characteristics (ROC) was analyzed to evaluate its diagnostic accuracy. Results The study included 342 students aged 18–25 years (the mean age was 20.25 ± 1.4 years), 80.4% of whom were female. Among the 68 participants selected for an online interview, 16 were diagnosed with BPD. The cut-off score of the SI-Bord was > 9, as suggested by the Youden index, yielding a sensitivity of 56.3% and a specificity of 92.3%. It had a positive predictive value of 69.2% and negative predictive value of 87.3%. The SI-Bord had adequate discriminative power between cases and non-cases of BPD, with the area under the ROC curve being 0.83. Cronbach’s alpha for the SI-Bord was 0.76, indicating acceptable internal consistency. The SI-Bord score was positively correlated to PHQ-9 and PSS-10 scores (r = 0.67 and r = 0.69, p < 0.001, respectively) and negatively correlated to MSPSS (r = − 0.50, p < 0.001). The prevalence of BPD in the sample was 6.4%, according to the cut-off score > 9. Conclusion The SI-Bord demonstrated good reliability and validity for screening BPD in university students. However, a study in non-Thai and other population groups should be warranted.

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Section: Discussionmentioning

confidence: 99%

Development and validation of a screening instrument for borderline personality disorder (SI-Bord) for use among university students

et al. 2020

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“…Another personality characteristic related to risky driving behaviour is impulsivity. Impulsivity is related to functional impairment in the frontal lobe which was found in personality with affect and interpersonal dysregulation [36,37]. One of the most popular definitions of impulsivity is the predisposition of unplanned reactions as a result of internal and external stimuli without thinking about the negative consequences for the individual and for others [38].…”

Section: Personality Characteristics and Risky Driving Behaviormentioning

confidence: 99%

Interconnection between Driving Style, Traffic Locus of Control, and Impulsivity in Bulgarian Drivers

Totkova

2020

Behavioral Sciences

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The need for research in the field of transport psychology in Bulgaria has become more tangible in recent years, due to both the increased public intolerance to aggressive driving and the very high number of injuries and fatalities in road accidents in the country. The main objective of this study is to investigate the interconnection between Driving style, Traffic locus of control, and the Impulsivity in Bulgarian drivers. A research is conducted in order to examine the relations between the constructs in Bulgarian sample (n = 456, male = 204; female = 252; average age = 37). The results show that there are significant correlations between impulsivity and all driving styles. Positive correlations were found with the maladaptive driving styles, while the adaptive driving style was negatively associated with impulsivity. Correlations between the traffic locus of control and the driving styles were also found. These results provide a very good opportunity for further research in this area as well as for the development of prevention and training programs in the field of road safety.

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“…Depression is one of the most commonly diagnosed mental disorders or statuses, sometimes resulting in serious damage to the patient's work ability [1,2], performance [3,4], interpersonal communications, physical health [5,6], and quality of life [7]; some cases of depression may even result in the patient committing suicide [8]. According to the World Health Organization (WHO), approximately 300 million people of all ages suffer from depression worldwide, with an increase of more than 18% between 2005 and 2015.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of depressive symptoms among nurses in China: A systematic review and meta-analysis

Xie

Yan

Wang³

et al. 2020

PLoS ONE

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Background Depression is one of the most common mental disorders, profoundly impacting an individual's performance and quality of life. Due to their unique working conditions, nursing is counted among the occupational groups at high risk for developing depression. Because of the shortage of nursing resources in China, Chinese nurses suffer from heavy daily workloads more than those in many other countries. Therefore, this study aimed to evaluate the overall prevalence of depressive symptoms and analyse the potential risk factors of depressive symptoms in Chinese nurses. Methods A systematic literature search in PubMed, EMBASE, Web of Science, the Chinese BioMedical Literature Database (CBM), the China National Knowledge Infrastructure (CNKI), and the Weipu and Wanfang databases up to Dec 31st, 2019 was performed regarding the prevalence of depressive symptoms in Chinese nurses. Eligibility assessment and data extraction were performed independently by 2 researchers, and meta-analysis was used to synthesize the data. Heterogeneity was evaluated using Cochran's Q test and quantified using the I 2 statistic. To explore the potential source of heterogeneity, subgroup analyses were also performed. In addition, both funnel plot and Egger's tests were adopted to assess publication bias. Results A total of 102 studies published from 1996 to 2019 covering 22 provinces were included for further analysis. The total number of participants was 52,592, with a range of 46 to 7205 per study. The overall prevalence of depressive symptoms in Chinese nurses was 43.83% (95% CI: 40.26%-47.42%), and 31.12% (95%CI: 27.30%-35.07%) were classified as mild degrees of depressive symptoms. The prevalence of depressive symptoms may be significantly affected by region, province or municipality and department marital status. Moreover, an increasing trend in the prevalence of depressive symptoms was observed in recent years.

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Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder

Cited by 121 publications

References 74 publications

Development and validation of a screening instrument for borderline personality disorder (SI-Bord) for use among university students

Development and validation of a screening instrument for borderline personality disorder (SI-Bord) for use among university students

Interconnection between Driving Style, Traffic Locus of Control, and Impulsivity in Bulgarian Drivers

Prevalence of depressive symptoms among nurses in China: A systematic review and meta-analysis

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