Displaying publications 21 - 40 of 128 in total

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  1. Ng CG, Wong SK, Loh HS, Yee A
    Clin Ter, 2014;165(6):e384-90.
    PMID: 25524191 DOI: 10.7417/CT.2014.1778
    BACKGROUND AND AIMS: Escitalopram has widely been recognized as one of the most frequently used antidepressants, with superior tolerability and great efficacy in preventing major depressive disorder (MDD) relapse and recurrence. However, anhedonia, which is a core symptom of MDD, remains difficult to treat. This study investigates the hedonic levels of MDD patients treated with Escitalopram.

    MATERIALS AND METHODS: A total of 108 participants, 26 of whom with MDD on Escitalopram, were recruited in this cross sectional study. They were evaluated using the Snaith-Hamilton Pleasure Scale (SHAPS) and Beck Depression Inventory (BDI) questionnaires to assess their hedonic state, general mental health condition and level of depression.

    RESULTS: Our study shows that most items in the SHAPS scores are significantly different between MDD patients on Escitalopram and the controls.

    CONCLUSIONS: The hedonic capacity remains different between the two groups despite patients with MDD are put on Escitalopram treatment. Escitalopram fails to alleviate the hedonic state of MDD patients. Antidepressants that improve both depressive symptoms and hedonic states should be considered when treating MDD patients in clinical settings.
    Matched MeSH terms: Depressive Disorder, Major/drug therapy*; Depressive Disorder, Major/psychology*
  2. Priscilla D, Hamidin A, Azhar MZ, Noorjan KO, Salmiah MS, Bahariah K
    East Asian Arch Psychiatry, 2011 Jun;21(2):44-51.
    PMID: 21838206
    Objectives: To determine the relationship between major depressive disorder, anxiety disorders and the quality of life of haematological cancer patients.
    Methods: This cross-sectional study was conducted at Ampang Hospital Kuala Lumpur, Malaysia, a tertiary referral centre hospital for haematological cancer. The Mini-International Neuropsychiatric Interview was used for the diagnosis of major depressive disorder and anxiety disorders. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire was utilised to measure patients’ quality of life.
    Results: A total of 105 haematological cancer patients ere included in the study with response rate of 100%. Major depressive disorder correlated with almost all domains of the quality of life, except the pain scores. Logistic regression showed that insomnia and financial difficulties were related to major depressive disorder. Different anxiety disorders also correlated with quality of life in specific domains. The leading anxiety disorders that correlated mostly with quality﹣of life scales were generalised anxiety disorder, followed by obsessive-compulsive disorder, social anxiety disorder, as well as post-traumatic stress disorder and panic disorder with agoraphobia (p < 0.05).
    Conclusions: Psychological treatment along with medication and intervention should be implemented to improve the overall quality of life and psychiatric disorder symptoms among the haematological cancer patients.
    Key words: Anxiety; Depression; Hematologic neoplasms; Quality of life
    Matched MeSH terms: Depressive Disorder, Major/complications; Depressive Disorder, Major/psychology
  3. Tan S, Rey J
    Australas Psychiatry, 2005 Mar;13(1):76-9.
    PMID: 15777418
    To examine the relationship between depression in children and adolescents, parental depression and parenting stress.
    Matched MeSH terms: Depressive Disorder, Major/diagnosis; Depressive Disorder, Major/psychology*
  4. Abdollahi A, Talib MA
    Psychiatry Res, 2015 Aug 30;228(3):591-7.
    PMID: 26117250 DOI: 10.1016/j.psychres.2015.05.046
    Suicide is a substantial public health problem, and it remains a serious cause of death in the world. Therefore, this study was designed to examine the relationships between brooding, reflection, emotional intelligence (assessed by performance-based test), and suicidal ideation; the mediation role of emotional intelligence on the relationships between brooding and reflection with suicidal ideation; and the moderating role of suicidal history on the relationships between brooding, reflection, and emotional intelligence with suicidal ideation among Iranian depressed adolescents. The study consisted of a cross-sectional sample of 202 depressed adolescent inpatients from five public hospitals in Tehran, Iran completed measures of depression, rumination, emotional intelligence, and suicide attempt history as indices of suicidal ideation. Structural Equation Modelling estimated that depressed adolescent inpatients with high levels of brooding and reflective rumination, and low levels of emotional intelligence were more likely to report suicidal ideation. Moreover, emotional intelligence partially mediated the relationships between brooding and reflective rumination with suicidal ideation. Suicidal history moderated the relationships between brooding, reflection, and emotional intelligence with suicidal ideation. These findings reinforce the importance of emotional intelligence as an influencing factor against the deleterious effects of rumination styles and suicidal ideation. The results indicate that brooding and reflection have detrimental effects on suicidal ideation in depressed inpatients.
    Matched MeSH terms: Depressive Disorder, Major/diagnosis; Depressive Disorder, Major/psychology*
  5. Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, et al.
    Psychol Med, 2020 06;50(8):1368-1380.
    PMID: 31298180 DOI: 10.1017/S0033291719001314
    BACKGROUND: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.

    METHODS: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.

    RESULTS: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).

    CONCLUSIONS: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

    Matched MeSH terms: Depressive Disorder, Major/classification; Depressive Disorder, Major/diagnosis*
  6. Johnson D, Thurairajasingam S, Letchumanan V, Chan KG, Lee LH
    Nutrients, 2021 May 20;13(5).
    PMID: 34065187 DOI: 10.3390/nu13051728
    The field of probiotic has been exponentially expanding over the recent decades with a more therapeutic-centered research. Probiotics mediated microbiota modulation within the microbiota-gut-brain axis (MGBA) have been proven to be beneficial in various health domains through pre-clinical and clinical studies. In the context of mental health, although probiotic research is still in its infancy stage, the promising role and potential of probiotics in various mental disorders demonstrated via in-vivo and in-vitro studies have laid a strong foundation for translating preclinical models to humans. The exploration of the therapeutic role and potential of probiotics in major depressive disorder (MDD) is an extremely noteworthy field of research. The possible etio-pathological mechanisms of depression involving inflammation, neurotransmitters, the hypothalamic-pituitary-adrenal (HPA) axis and epigenetic mechanisms potentially benefit from probiotic intervention. Probiotics, both as an adjunct to antidepressants or a stand-alone intervention, have a beneficial role and potential in mitigating anti-depressive effects, and confers some advantages compared to conventional treatments of depression using anti-depressants.
    Matched MeSH terms: Depressive Disorder, Major/microbiology*; Depressive Disorder, Major/therapy*
  7. Hashim NA, Ariaratnam S, Salleh MR, Said MA, Sulaiman AH
    East Asian Arch Psychiatry, 2016 Jun;26(2):77-82.
    PMID: 27377489
    OBJECTIVES: To determine the prevalence of major depressive disorder and its association with socio-demographic and clinical factors in patients with type 2 diabetes mellitus.

    METHODS: This was a cross-sectional study of patients with type 2 diabetes mellitus who attended the hospital-based primary care clinics at the University Malaya Medical Centre, Kuala Lumpur, Malaysia. The patients were interviewed using the Mini-International Neuropsychiatric Interview to diagnose depression based on the DSM-IV criteria. The socio-demographic and clinical data were obtained by interviewing the patients and subsequently verified against their respective case notes.

    RESULTS: A total of 204 patients were recruited. The prevalence of major depressive disorder was 15.7%. Major depressive disorder was significantly associated with younger age of patients (mean ± standard deviation, 57.8 ± 15.1 years, p = 0.04), younger age at diagnosis of diabetes mellitus (46.2 ± 13.0 years, p = 0.01), having secondary education (p = 0.02), and having a history of depression (p = 0.002). Multivariate analysis showed that current age (p = 0.04), duration of diabetes mellitus (p = 0.04), age at diagnosis of diabetes mellitus (p = 0.01), and secondary education (p = 0.01) were significant factors.

    CONCLUSIONS: The prevalence of major depressive disorder was high among patients with type 2 diabetes mellitus. Screening of patients with type 2 diabetes mellitus for depression should be performed periodically or routinely, especially in the primary care setting.
    Matched MeSH terms: Depressive Disorder, Major/epidemiology*; Depressive Disorder, Major/psychology*
  8. Levis B, Benedetti A, Riehm KE, Saadat N, Levis AW, Azar M, et al.
    Br J Psychiatry, 2018 06;212(6):377-385.
    PMID: 29717691 DOI: 10.1192/bjp.2018.54
    BACKGROUND: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification.AimsTo evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics.

    METHOD: Data collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analysed and binomial generalised linear mixed models were fit.

    RESULTS: A total of 17 158 participants (2287 with major depression) from 57 primary studies were analysed. Among fully structured interviews, odds of major depression were higher for the MINI compared with the Composite International Diagnostic Interview (CIDI) (odds ratio (OR) = 2.10; 95% CI = 1.15-3.87). Compared with semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores ≤6) as having major depression (OR = 3.13; 95% CI = 0.98-10.00), similarly likely for moderate-level symptoms (PHQ-9 scores 7-15) (OR = 0.96; 95% CI = 0.56-1.66) and significantly less likely for high-level symptoms (PHQ-9 scores ≥16) (OR = 0.50; 95% CI = 0.26-0.97).

    CONCLUSIONS: The MINI may identify more people as depressed than the CIDI, and semi-structured and fully structured interviews may not be interchangeable methods, but these results should be replicated.Declaration of interestDrs Jetté and Patten declare that they received a grant, outside the submitted work, from the Hotchkiss Brain Institute, which was jointly funded by the Institute and Pfizer. Pfizer was the original sponsor of the development of the PHQ-9, which is now in the public domain. Dr Chan is a steering committee member or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Hegerl declares that within the past 3 years, he was an advisory board member for Lundbeck, Servier and Otsuka Pharma; a consultant for Bayer Pharma; and a speaker for Medice Arzneimittel, Novartis, and Roche Pharma, all outside the submitted work. Dr Inagaki declares that he has received grants from Novartis Pharma, lecture fees from Pfizer, Mochida, Shionogi, Sumitomo Dainippon Pharma, Daiichi-Sankyo, Meiji Seika and Takeda, and royalties from Nippon Hyoron Sha, Nanzando, Seiwa Shoten, Igaku-shoin and Technomics, all outside of the submitted work. Dr Yamada reports personal fees from Meiji Seika Pharma Co., Ltd., MSD K.K., Asahi Kasei Pharma Corporation, Seishin Shobo, Seiwa Shoten Co., Ltd., Igaku-shoin Ltd., Chugai Igakusha and Sentan Igakusha, all outside the submitted work. All other authors declare no competing interests. No funder had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.

    Matched MeSH terms: Depressive Disorder, Major/classification; Depressive Disorder, Major/diagnosis*
  9. Mumtaz W, Xia L, Mohd Yasin MA, Azhar Ali SS, Malik AS
    PLoS One, 2017;12(2):e0171409.
    PMID: 28152063 DOI: 10.1371/journal.pone.0171409
    Treatment management for Major Depressive Disorder (MDD) has been challenging. However, electroencephalogram (EEG)-based predictions of antidepressant's treatment outcome may help during antidepressant's selection and ultimately improve the quality of life for MDD patients. In this study, a machine learning (ML) method involving pretreatment EEG data was proposed to perform such predictions for Selective Serotonin Reuptake Inhibitor (SSRIs). For this purpose, the acquisition of experimental data involved 34 MDD patients and 30 healthy controls. Consequently, a feature matrix was constructed involving time-frequency decomposition of EEG data based on wavelet transform (WT) analysis, termed as EEG data matrix. However, the resultant EEG data matrix had high dimensionality. Therefore, dimension reduction was performed based on a rank-based feature selection method according to a criterion, i.e., receiver operating characteristic (ROC). As a result, the most significant features were identified and further be utilized during the training and testing of a classification model, i.e., the logistic regression (LR) classifier. Finally, the LR model was validated with 100 iterations of 10-fold cross-validation (10-CV). The classification results were compared with short-time Fourier transform (STFT) analysis, and empirical mode decompositions (EMD). The wavelet features extracted from frontal and temporal EEG data were found statistically significant. In comparison with other time-frequency approaches such as the STFT and EMD, the WT analysis has shown highest classification accuracy, i.e., accuracy = 87.5%, sensitivity = 95%, and specificity = 80%. In conclusion, significant wavelet coefficients extracted from frontal and temporal pre-treatment EEG data involving delta and theta frequency bands may predict antidepressant's treatment outcome for the MDD patients.
    Matched MeSH terms: Depressive Disorder, Major/drug therapy*; Depressive Disorder, Major/physiopathology
  10. Lye MS, Tey YY, Tor YS, Shahabudin AF, Ibrahim N, Ling KH, et al.
    PLoS One, 2020;15(3):e0230363.
    PMID: 32191745 DOI: 10.1371/journal.pone.0230363
    A total of 201 patients with major depressive disorder from four hospitals in Malaysia were followed up for 5 years to determine the prognostic factors of recurrent major depressive disorder that could potentially contribute to improving the management of MDD patients. For each individual patient, at the time of recruitment as part of a case-control study, information was collected on recent threatening life events, personality and social and occupational functioning, while blood samples were collected to genotype single nucleotide polymorphisms of vitamin D receptor (VDR), zinc transporter-3 (ZnT3), dopamine transporter-1 (DAT1), brain-derived neurotropic factor (BDNF), serotonin receptor 1A (HT1A) and 2A (HT2A) genes. Kaplan-Meier and Cox-regression were used to estimate hazard functions for recurrence of major depressive disorder. Individuals with severe MDD in previous major depressive episodes had five and a half times higher hazard of developing recurrence compared to mild and moderate MDD (HR = 5.565, 95% CI = 1.631-18.994, p = 0.006). Individuals who scored higher on social avoidance had three and a half times higher hazard of recurrence of MDD (HR = 3.525, 95% CI = 1.349-9.209; p = 0.010). There was significant interaction between ApaI +64978C>A single nucleotide polymorphism and severity. The hazard ratio increased by 6.4 times from mild and moderate to severe MDD for A/A genotype while that for C/A genotype increased by 11.3 times. Social avoidance and severity of depression at first episode were prognostic of recurrence. Screening for personality factors at first encounter with MDD patients needs to be considered as part of the clinical practice. For those at risk of recurrence in relation to social avoidance, the psychological intervention prescribed should be customized to focus on this modifiable factor. Prompt and appropriate management of severe MDD is recommended to reduce risk of recurrence.
    Matched MeSH terms: Depressive Disorder, Major/diagnosis*; Depressive Disorder, Major/genetics
  11. Badamasi IM, Lye MS, Ibrahim N, Abdul Razaq NA, Ling KH, Stanslas J
    Pharmacogenomics J, 2021 Aug;21(4):498-509.
    PMID: 33731884 DOI: 10.1038/s41397-021-00228-6
    The polymorphisms of the 5HTR1A and 5HTR2A receptor genes (rs6295C/G and rs6311G/A) have been evaluated for association with SSRI treatment outcome in various populations with different results. The present study was carried out to determine the association between genotypes of HTR1A-rs6295 and HTR2A-rs6311 with SSRI treatment outcome among the ethnic Malay patients diagnosed with first-episode major depressive disorder (MDD). The patients were recruited from four tertiary hospitals in the Klang Valley region of Malaysia. Predefined efficacy phenotypes based on 25% (partial early response) and 50% (clinical efficacy response) reduction in Montgomery Asberg Depression Rating Scale-self Rated score (MADRS-S) were adopted for assessment of treatment efficacy in this study. Self-reporting for adverse effects (AE) was documented using the Patient Rated Inventory of Side Effect (PRISE) after treatment with SSRI for up to 6 weeks. Adjusted binary logistic regression between genotypes of the polymorphism obtained using sequencing technique with the treatment outcome phenotypes was performed. The 142 patients recruited were made up of 96 females (67.6%) and 46 males (32.4%). Clinical efficacy and Partial early response phenotypes were not significantly associated with genotypes of HTR1A and HTR2A polymorphism. The GG genotype of HTR2A polymorphism has decreased odds for dizziness (CNS) and increased odds for poor concentration. The GA genotype increases the odd for excessive sweating, diarrhoea, constipation and blurred vision. The CC genotype of HTR1A-rs6295 decreases the odd for nausea/vomiting and increases the odd for anxiety. Thus, some genotypes of HTR1A and HTR2A polymorphism were associated with SSRI treatment outcomes in ethnic Malay MDD patients.
    Matched MeSH terms: Depressive Disorder, Major/drug therapy*; Depressive Disorder, Major/genetics*
  12. Ng CW, How CH, Ng YP
    Singapore Med J, 2016 Nov;57(11):591-597.
    PMID: 27872937 DOI: 10.11622/smedj.2016174
    Major depression is a common condition seen in the primary care setting, often presenting with somatic symptoms. It is potentially a chronic illness with considerable morbidity, and a high rate of relapse and recurrence. Major depression has a bidirectional relationship with chronic diseases, and a strong association with increased age and coexisting mental illnesses (e.g. anxiety disorders). Screening can be performed using clinical tools for major depression, such as the Patient Health Questionaire-2, Patient Health Questionaire-9 and Beck Depression Inventory, so that timely treatment can be initiated. An accurate diagnosis of major depression and its severity is essential for prompt treatment to reduce morbidity and mortality. This is the first of a series of articles that illustrates the approach to the management of major depression in primary care. Our next articles will cover suicide risk assessment in a depressed patient and outline the basic principles of management and treatment modalities.
    Matched MeSH terms: Depressive Disorder, Major/complications*; Depressive Disorder, Major/diagnosis*
  13. Ho SC, Jacob SA, Tangiisuran B
    PLoS One, 2017;12(6):e0179290.
    PMID: 28614368 DOI: 10.1371/journal.pone.0179290
    BACKGROUND: One of the major challenges in treating major depressive disorder (MDD) is patients' non-adherence to medication. This study aimed to explore the barriers and facilitators of patients' adherence to antidepressants among outpatients with MDD.

    METHODS: Semi-structured and individual in-depth interviews were conducted among patients with MDD who were taking antidepressants, in the psychiatric clinic of a government-run hospital in Malaysia. Participants were purposively sampled from different genders and ethnicities. Interviews were conducted using a validated topic guide, and responses were audio-recorded, transcribed verbatim, checked, and analyzed using the grounded theory approach.

    RESULTS: A total of 30 patients were interviewed. Forty different themes and sub-themes were identified which were conceptually divided into two distinct categories related to barriers and facilitators to adherence. The barriers were: patient-specific, medication-specific, healthcare provision and system, social-cultural, and logistics. The facilitators were: having insight, perceived health benefits, regular activities, patient-provider relationship, reminders, and social support networks.

    CONCLUSIONS: Patient-specific barriers and medication side effects were the major challenges for adhering to treatment. Perceived health benefits and having insight on the need for treatment were the most frequently cited facilitators. Targeted interventions should be developed to address the key barriers, and promote measures to facilitate adherence in this group of patients.

    Matched MeSH terms: Depressive Disorder, Major/drug therapy*; Depressive Disorder, Major/ethnology
  14. Midi M, Kanagasundram S, Sidi H, Asmidar D, Naing L, Guan NC
    Int J Psychiatry Med, 2012;43(4):405-18.
    PMID: 23094470
    To compare the risk of sexual arousal difficulties between two groups of depressed female patients in remission who were treated with either escitalopram or fluoxetine. Associated factors were also examined.
    Matched MeSH terms: Depressive Disorder, Major/diagnosis; Depressive Disorder, Major/drug therapy*; Depressive Disorder, Major/epidemiology; Depressive Disorder, Major/psychology
  15. Choong MY, Tee SF, Tang PY
    Psychiatry Res, 2014 Dec 30;220(3):1163-6.
    PMID: 25219619 DOI: 10.1016/j.psychres.2014.07.076
    Matched MeSH terms: Depressive Disorder, Major/genetics*; Depressive Disorder, Major/psychology
  16. Treuer T, Liu CY, Salazar G, Kongsakon R, Jia F, Habil H, et al.
    Asia Pac Psychiatry, 2013 Dec;5(4):219-30.
    PMID: 23857712 DOI: 10.1111/appy.12090
    Major depressive disorder is prevalent worldwide, and only about half of those affected will experience no further episodes or symptoms. Additionally, depressive symptoms can be challenging to identify, with many patients going undiagnosed despite a wide variety of available treatment options. Antidepressants are the cornerstone of depression treatment; however, a large number of factors must be considered in selecting the treatment best suited to the individual. To help support physicians in this process, international and national treatment guidelines have been developed. This review evaluates the current use of antidepressant treatment for major depressive disorder in six Asian countries (China, Korea, Malaysia, Philippines, Taiwan, and Thailand). No remarkable differences were noted between Asian and international treatment guidelines or among those from within Asia as these are adapted from western guidelines, although there were some local variations. Importantly, a shortage of evidence-based information at a country level is the primary problem in developing guidelines appropriate for Asia, so most of the guidelines are consensus opinions derived from western research data utilized in western guidelines. Treatment guidelines need to evolve from being consensus based to evidence based when evidence is available, taking into consideration cost/effectiveness or cost/benefit with an evidence-based approach that more accurately reflects clinical experience as well as the attributes of each antidepressant. In everyday practice, physicians must tailor their treatment to the patient's clinical needs while considering associated external factors; better tools are needed to help them reach the best possible prescribing decisions which are of maximum benefit to patients.
    Matched MeSH terms: Depressive Disorder, Major/drug therapy*; Depressive Disorder, Major/economics
  17. Chong SA, Vaingankar J, Abdin E, Subramaniam M
    J Affect Disord, 2012 Apr;138(1-2):128-36.
    PMID: 22209269 DOI: 10.1016/j.jad.2011.11.038
    Reports of rates of depression among different Asian ethnic groups within the same country using standardized assessments are rare in the extant literature.
    Matched MeSH terms: Depressive Disorder, Major/ethnology; Depressive Disorder, Major/epidemiology*
  18. Priscilla D, Hamidin A, Azhar MZ, Noorjan KO, Salmiah MS, Bahariah K
    East Asian Arch Psychiatry, 2011 Sep;21(3):108-14.
    PMID: 21921304
    Objectives: To determine the relationship between major depressive disorder, anxiety disorders and the quality of life of haematological cancer patients.
    Methods: This cross-sectional study was conducted at Ampang Hospital Kuala Lumpur, Malaysia, a tertiary referral centre hospital for haematological cancer. The Mini-International Neuropsychiatric Interview was used for the diagnosis of major depressive disorder and anxiety disorders. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire was utilised to measure patients’ quality of life.
    Results: A total of 105 haematological cancer patients were included in the study with response rate of 100%. Major depressive disorder correlated with almost all domains of the quality of life, except the pain scores. Logistic regression showed that insomnia and financial difficulties were related to major depressive disorder. Different anxiety disorders also correlated with quality of life in specific domains. The leading anxiety disorders that correlated mostly with quality of life scales were generalised anxiety disorder, followed by obsessive-compulsive disorder, social anxiety disorder, as well as post-traumatic stress disorder and panic disorder with agoraphobia (p < 0.05).
    Conclusions: Psychological treatment along with medication and intervention should be implemented to
    improve the overall quality of life and psychiatric disorder symptoms among the haematological cancer
    patients.
    Key words: Anxiety; Depression; Hematologic neoplasms; Quality of life
    Matched MeSH terms: Depressive Disorder, Major/epidemiology*; Depressive Disorder, Major/psychology*
  19. Bharathi V, Lee FS
    Med J Malaysia, 2006 Oct;61(4):490-2.
    PMID: 17243530
    Emotional incontinence is a disorder of emotional control following brain damage. It refers to the heightened tendency to cry or less commonly laugh, out of proportion to the underlying mood. Recognition of this phenomenon is often lacking as it is confused with other related sequelae of brain damage such as depression. This is a case report of an elderly female exhibiting poststroke emotional incontinence.
    Matched MeSH terms: Depressive Disorder, Major/drug therapy; Depressive Disorder, Major/etiology*
  20. Husain SF, Tang TB, Yu R, Tam WW, Tran B, Quek TT, et al.
    EBioMedicine, 2020 Jan;51:102586.
    PMID: 31877417 DOI: 10.1016/j.ebiom.2019.11.047
    BACKGROUND: Functional near infrared spectroscopy (fNIRS) provides a direct and quantitative assessment of cortical haemodynamic function during a cognitive task. This functional neuroimaging modality may be used to elucidate the pathophysiology of psychiatric disorders, and identify neurophysiological differences between co-occurring psychiatric disorders. However, fNIRS research on borderline personality disorder (BPD) has been limited. Hence, this study aimed to compare cerebral haemodynamic function in healthy controls (HC), patients with major depressive disorder (MDD) and patients with BPD.

    METHODS: fNIRS signals during a verbal fluency task designed for clinical assessment was recorded for all participants. Demographics, clinical history and symptom severity were also noted.

    FINDINGS: Compared to HCs (n = 31), both patient groups (MDD, n = 31; BPD, n = 31) displayed diminished haemodynamic response in the frontal, temporal and parietal cortices. Moreover, haemodynamic response in the right frontal cortex is markedly lower in patients with MDD compared to patients with BPD.

    INTERPRETATION: Normal cortical function in patients with BPD is disrupted, but not as extensively as in patients with MDD. These results provide further neurophysiological evidence for the distinction of patients with MDD from patients with BPD.

    Matched MeSH terms: Depressive Disorder, Major/complications*; Depressive Disorder, Major/physiopathology*
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