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  1. Park SC, Oh HS, Tripathi A, Abraham Kallivayalil R, Avasthi A, Grover S, et al.
    Nord J Psychiatry, 2019 Jun 26.
    PMID: 31240984 DOI: 10.1080/08039488.2019.1632381
    Background: Although cannabis use has been linked with schizophrenia in a dose-response pattern, to our knowledge, the relationship between cannabis and schizophrenia has rarely been reported in Asian population. Aim: We compared the clinical characteristics and psychotropic prescription patterns between cannabis users and non-users among Asian patients with schizophrenia. Moreover, we aimed to identify the independent correlates of cannabis use in these subjects. Methods: We performed the analysis of the data from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics (REAP-AP), a collaborative consortium survey used to collate the prescription patterns for antipsychotic and other psychotropic medications in patients with schizophrenia in Asia. We included 132 schizophrenia patients in the group of lifetime cannabis use and 1756 in the group that had never used cannabis. A binary logistic model was fitted to detect the clinical correlates of lifetime cannabis use. Results: Adjusting for the effects of age, sex, geographical region, income group, duration of untreated psychosis, and Charlson comordity index level, a binary logistic regression model revealed that lifetime cannabis use was independently associated with aggressive behavior [adjusted odds ratio (aOR) = 1.582, 95% confidence interval (CI) = 1.006-2.490, p = .047] and with long-acting injectable antipsychotic treatment (aOR = 1.796, 95% CI = 1.444-2.820, p = .001). Conclusion: Our findings indicate a close link between lifetime cannabis use and aggressive behavior. The use of long-acting, injectable antipsychotics preferentially treats the aggressive behavior cannabis users among patients with schizophrenia in Asia, especially, the South or Southeast Asia.
  2. Park SC, Kim GM, Kato TA, Chong MY, Lin SK, Yang SY, et al.
    Nord J Psychiatry, 2021 Jan;75(1):9-17.
    PMID: 32580668 DOI: 10.1080/08039488.2020.1777462
    BACKGROUND: Network analysis provides a new viewpoint that explicates intertwined and interrelated symptoms into dynamic causal architectures of symptom clusters. This is a process called 'symptomics' and is concurrently applied to various areas of symptomatology.

    AIMS: Using the data from Research on Asian Psychotropic Prescription Patterns for Antipsychotics (REAP-AP), we aimed to estimate a network model of extrapyramidal syndrome in patients with schizophrenia.

    METHODS: Using data from REAP-AP, extrapyramidal symptoms of 1046 Asian patients with schizophrenia were evaluated using the nine items of the Drug-Induced Extrapyramidal Symptoms Scale (DIEPSS). The estimated network of the ordered-categorical DIEPSS items consisted of nodes (symptoms) and edges (interconnections). A community detection algorithm was also used to identify distinctive symptom clusters, and correlation stability coefficients were used to evaluate the centrality stability.

    RESULTS: An interpretable level of node strength centrality was ensured with a correlation coefficient. An estimated network of extrapyramidal syndrome showed that 26 (72.2%) of all possible 35 edges were estimated to be greater than zero. Dyskinesia was most centrally situated within the estimated network. In addition, earlier antipsychotic-induced extrapyramidal symptoms were divided into three distinctive clusters - extrapyramidal syndrome without parkinsonism, postural instability and gait difficulty-dominant parkinsonism, and tremor-dominant parkinsonism.

    CONCLUSIONS: Our findings showed that dyskinesia is the most central domain in an estimated network structure of extrapyramidal syndrome in Asian patients with schizophrenia. These findings are consistent with the speculation that acute dystonia, akathisia, and parkinsonism could be the risk factors of tardive dyskinesia.

  3. Maneeton N, Suttajit S, Maneeton B, Likhitsathian S, Eurviyanukul K, Udomratn P, et al.
    Nord J Psychiatry, 2017 Oct;71(7):503-508.
    PMID: 28632428 DOI: 10.1080/08039488.2017.1335344
    BACKGROUND: Anxious distress in major depressive disorder (MDD) is common and associated with poor outcomes and management difficulties.

    AIMS: This post hoc analysis aimed to examine the socio-demographic and clinical correlates of anxiety distress in Asian outpatients with MDD.

    METHODS: Instead of two out of five specifiers defined by the Diagnostic and Statistical Manual Version-5, anxious distress defined in this study was operationalized as the presence of at least two out of four proxy items drawn from the 90-item Symptom Checklist, Revised (SCL-90-R). Other measures included the Montgomery-Asberg Depression Rating Scale (MADRS), the Fatigue Severity Scale, the Sheehan Disability Scale and the Multidimensional Scale of Perceived Social Support.

    RESULTS: The data of 496 patients with MDD were included. Anxious distress was found in 371 participants (74.8%). The binary logistic regression analysis found that anxious distress was independently and significantly correlated with working status, higher MADRS scores, severe insomnia and functional impairment.

    CONCLUSIONS: Three-fourths of Asian patients with MDD in tertiary care settings may have DSM-5 anxious distress of at least moderate distress. Its prevalence may vary among working groups. The specifier was associated with greater depressive symptom severity, severe insomnia and functional impairment.

    Study site: n tertiary care
    settings in China, Korea, Malaysia, Singapore, Taiwan and
    Thailand
  4. Bauer R, Conell J, Glenn T, Alda M, Ardau R, Baune BT, et al.
    Nord J Psychiatry, 2017 Aug;71(6):473-476.
    PMID: 28696841 DOI: 10.1080/08039488.2017.1334819
    BACKGROUND: Peer support is an established component of recovery from bipolar disorder, and online support groups may offer opportunities to expand the use of peer support at the patient's convenience. Prior research in bipolar disorder has reported value from online support groups.

    AIMS: To understand the use of online support groups by patients with bipolar disorder as part of a larger project about information seeking.

    METHODS: The results are based on a one-time, paper-based anonymous survey about information seeking by patients with bipolar disorder, which was translated into 12 languages. The survey was completed between March 2014 and January 2016 and included questions on the use of online support groups. All patients were diagnosed by a psychiatrist. Analysis included descriptive statistics and general estimating equations to account for correlated data.

    RESULTS AND CONCLUSIONS: The survey was completed by 1222 patients in 17 countries. The patients used the Internet at a percentage similar to the general public. Of the Internet users who looked online for information about bipolar disorder, only 21.0% read or participated in support groups, chats, or forums for bipolar disorder (12.8% of the total sample). Given the benefits reported in prior research, clarification of the role of online support groups in bipolar disorder is needed. With only a minority of patients using online support groups, there are analytical challenges for future studies.

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