Displaying all 7 publications

Abstract:
Sort:
  1. Bauer M, Glenn T, Alda M, Andreassen OA, Angelopoulos E, Ardau R, et al.
    Eur. Psychiatry, 2015 Jan;30(1):99-105.
    PMID: 25498240 DOI: 10.1016/j.eurpsy.2014.10.005
    PURPOSE: Two common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database.

    METHODS: The database includes 4037 patients with a diagnosis of bipolar I disorder, previously collected at 36 collection sites in 23 countries. Generalized estimating equations (GEE) were used to adjust the data for country median age, and in some models, birth cohort. Model-based clustering (mixture analysis) was then performed on the age of onset data using the residuals. Clinical variables in subgroups were compared.

    RESULTS: There was a strong birth cohort effect. Without adjusting for the birth cohort, three subgroups were found by clustering. After adjusting for the birth cohort or when considering only those born after 1959, two subgroups were found. With results of either two or three subgroups, the youngest subgroup was more likely to have a family history of mood disorders and a first episode with depressed polarity. However, without adjusting for birth cohort (three subgroups), family history and polarity of the first episode could not be distinguished between the middle and oldest subgroups.

    CONCLUSION: These results using international data confirm prior findings using single country data, that there are subgroups of bipolar I disorder based on the age of onset, and that there is a birth cohort effect. Including the birth cohort adjustment altered the number and characteristics of subgroups detected when clustering by age of onset. Further investigation is needed to determine if combining both approaches will identify subgroups that are more useful for research.

  2. Razali SM
    Eur. Psychiatry, 1999 Dec;14(8):470-2.
    PMID: 10683634
    We report on the case of a 38-year-old Malay housewife diagnosed with conversion disorder. It was believed that 'evil spirits' caused her symptoms. The patient was eventually treated by the Main Puteri, a Malay shamanistic healing ceremony, after previous treatments failed. The patient improved on the third day of the performance, which was attributed to the departure of the spirits from her body. This case documents the potential benefits of indigenous psychotherapy.
  3. Varma S, Wai B, Singh S, Subramaniam M
    Eur. Psychiatry, 1998 Dec;13(8):431-3.
    PMID: 19698662 DOI: 10.1016/S0924-9338(99)80693-2
    Female drug dependants (n = 171) and controls (n = 1137) were studied to search for psychiatric morbidity in them. The psychiatric morbidity was found to be 36.3% and 6.9%, respectively. The most common psychiatric disorder found was dysthymic disorder followed by adjustment disorder, anxiety disorder and borderline personality disorder. The diagnosis was significantly dependent on the type of drug used (P < 0.001) and HIV seropositivtty status of the patients (P = 0.04). The findings highlight the relationship of the psychiatric morbidity to the HIV status and female drug users.
  4. Mazumdar P, Najib M, Varma S
    Eur. Psychiatry, 1996;11(2):106.
    PMID: 19698433 DOI: 10.1016/0924-9338(96)84789-4
  5. Chary T, Varma S, Singh S, Zain A, Dharap A
    Eur. Psychiatry, 1996;11(1):12-5.
    PMID: 19698416 DOI: 10.1016/0924-9338(96)80453-6
    Dermatoglyphic patterns of fingers were studied in two hundred and fifty patients of various subtypes of schizophrenia and ninety normal control subjects. The difference between the males and female dermatoglyphic patterns in the schizophrenic and controls was found to be non significant. No difference was also found between the fingerprint patterns in patients of various subtypes of schizophrenia.
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links