Displaying all 10 publications

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  1. Bauer M, Glenn T, Alda M, Andreassen OA, Angelopoulos E, Ardau R, et al.
    J Psychiatr Res, 2015 May;64:1-8.
    PMID: 25862378 DOI: 10.1016/j.jpsychires.2015.03.013
    Environmental conditions early in life may imprint the circadian system and influence response to environmental signals later in life. We previously determined that a large springtime increase in solar insolation at the onset location was associated with a younger age of onset of bipolar disorder, especially with a family history of mood disorders. This study investigated whether the hours of daylight at the birth location affected this association.
    Matched MeSH terms: Bipolar Disorder/epidemiology*
  2. Bauer R, Conell J, Glenn T, Alda M, Ardau R, Baune BT, et al.
    Psychiatry Res, 2016 08 30;242:388-394.
    PMID: 27391371 DOI: 10.1016/j.psychres.2016.05.055
    There is considerable international interest in online education of patients with bipolar disorder, yet little understanding of how patients use the Internet and other sources to seek information. 1171 patients with a diagnosis of bipolar disorder in 17 countries completed a paper-based, anonymous survey. 81% of the patients used the Internet, a percentage similar to the general public. Older age, less education, and challenges in country telecommunications infrastructure and demographics decreased the odds of using the Internet. About 78% of the Internet users looked online for information on bipolar disorder or 63% of the total sample. More years of education in relation to the country mean, and feeling very confident about managing life decreased the odds of seeking information on bipolar disorder online, while having attended support groups increased the odds. Patients who looked online for information on bipolar disorder consulted medical professionals plus a mean of 2.3 other information sources such as books, physician handouts, and others with bipolar disorder. Patients not using the Internet consulted medical professionals plus a mean of 1.6 other information sources. The percentage of patients with bipolar disorder who use the Internet is about the same as the general public. Other information sources remain important.
    Matched MeSH terms: Bipolar Disorder/epidemiology*
  3. 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.

    Matched MeSH terms: Bipolar Disorder/epidemiology
  4. Bauer M, Glenn T, Alda M, Andreassen OA, Angelopoulos E, Ardau R, et al.
    J Affect Disord, 2014;167:104-11.
    PMID: 24953482 DOI: 10.1016/j.jad.2014.05.032
    The onset of bipolar disorder is influenced by the interaction of genetic and environmental factors. We previously found that a large increase in sunlight in springtime was associated with a lower age of onset. This study extends this analysis with more collection sites at diverse locations, and includes family history and polarity of first episode.
    Matched MeSH terms: Bipolar Disorder/epidemiology*
  5. Yee HA, Loh HS, Ng CG
    Int J Psychiatry Clin Pract, 2013 Oct;17(4):292-7.
    PMID: 23170840 DOI: 10.3109/13651501.2012.752012
    To determine the prevalence of alcohol-use disorder and associated correlates amongst bipolar patients in a university hospital in Malaysia.
    Matched MeSH terms: Bipolar Disorder/epidemiology*
  6. Rahman MB, Indran SK
    Soc Psychiatry Psychiatr Epidemiol, 1997 Oct;32(7):387-90.
    PMID: 9383969
    The aim of this study was to investigate how the prevalence and severity of psychiatric disabilities in patients with chronic schizophrenia compares with that in patients with chronic mood disorders. A total of 128 patients, 80 with chronic schizophrenia and 48 with chronic mood disorders as confirmed by DSM-III-R, were examined using the World Health Organization Psychiatric Disability Assessment Schedule (WHO/ DAS). There were no significant differences in the prevalence and severity of disabilities between the two disorders. Two-thirds of the patients with chronic schizophrenia and over half the patients with chronic mood disorders had dysfunctional behaviour and experienced significant disabilities. The prevalence of disabilities among these Malaysian patients was not markedly different from that seen in developed countries, suggesting that the prognosis in developing countries may not be as favourable as previously thought.
    Matched MeSH terms: Bipolar Disorder/epidemiology*
  7. Bauer M, Glenn T, Alda M, Aleksandrovich MA, Andreassen OA, Angelopoulos E, et al.
    Acta Psychiatr Scand, 2017 Dec;136(6):571-582.
    PMID: 28722128 DOI: 10.1111/acps.12772
    OBJECTIVE: To confirm prior findings that the larger the maximum monthly increase in solar insolation in springtime, the younger the age of onset of bipolar disorder.

    METHOD: Data were collected from 5536 patients at 50 sites in 32 countries on six continents. Onset occurred at 456 locations in 57 countries. Variables included solar insolation, birth-cohort, family history, polarity of first episode and country physician density.

    RESULTS: There was a significant, inverse association between the maximum monthly increase in solar insolation at the onset location, and the age of onset. This effect was reduced in those without a family history of mood disorders and with a first episode of mania rather than depression. The maximum monthly increase occurred in springtime. The youngest birth-cohort had the youngest age of onset. All prior relationships were confirmed using both the entire sample, and only the youngest birth-cohort (all estimated coefficients P < 0.001).

    CONCLUSION: A large increase in springtime solar insolation may impact the onset of bipolar disorder, especially with a family history of mood disorders. Recent societal changes that affect light exposure (LED lighting, mobile devices backlit with LEDs) may influence adaptability to a springtime circadian challenge.

    Matched MeSH terms: Bipolar Disorder/epidemiology*
  8. Guan NC, Termorshuizen F, Laan W, Smeets HM, Zainal NZ, Kahn RS, et al.
    Soc Psychiatry Psychiatr Epidemiol, 2013 Aug;48(8):1289-95.
    PMID: 23104669 DOI: 10.1007/s00127-012-0612-8
    PURPOSE: Both increased as well as decreased cancer mortality among psychiatric patients has been reported, but competing death causes were not included in the analyses. This study aims to investigate whether observed cancer mortality in patients with psychiatric disorders might be biased by competing death causes.

    METHOD: In this retrospective cohort study on data from the Psychiatric Case Register Middle Netherlands linked to the death register of Statistics Netherlands, the risk of cancer death among patients with schizophrenia (N = 4,590), bipolar disorder (N = 2,077), depression (N = 15,130) and their matched controls (N = 87,405) was analyzed using a competing risk model.

    RESULTS: Compared to controls, higher hazards of cancer death were found in patients with schizophrenia (HR = 1.61, 95 % CI 1.26-2.06), bipolar disorder (HR = 1.20, 95 % CI 0.81-1.79) and depression (HR = 1.26, 95 % CI 1.10-1.44). However, the HRs of death due to suicide and other death causes were more elevated. Consequently, among those who died, the 12-year cumulative risk of cancer death was significantly lower.

    CONCLUSIONS: Our analysis shows that, compared to the general population, psychiatric patients are at higher risk of dying from cancer, provided that they survive the much more elevated risks of suicide and other death causes.

    Matched MeSH terms: Bipolar Disorder/epidemiology*
  9. Cross-Disorder Group of the Psychiatric Genomics Consortium
    Lancet, 2013 Apr 20;381(9875):1371-9.
    PMID: 23453885 DOI: 10.1016/S0140-6736(12)62129-1
    BACKGROUND: Findings from family and twin studies suggest that genetic contributions to psychiatric disorders do not in all cases map to present diagnostic categories. We aimed to identify specific variants underlying genetic effects shared between the five disorders in the Psychiatric Genomics Consortium: autism spectrum disorder, attention deficit-hyperactivity disorder, bipolar disorder, major depressive disorder, and schizophrenia.

    METHODS: We analysed genome-wide single-nucleotide polymorphism (SNP) data for the five disorders in 33,332 cases and 27,888 controls of European ancestory. To characterise allelic effects on each disorder, we applied a multinomial logistic regression procedure with model selection to identify the best-fitting model of relations between genotype and phenotype. We examined cross-disorder effects of genome-wide significant loci previously identified for bipolar disorder and schizophrenia, and used polygenic risk-score analysis to examine such effects from a broader set of common variants. We undertook pathway analyses to establish the biological associations underlying genetic overlap for the five disorders. We used enrichment analysis of expression quantitative trait loci (eQTL) data to assess whether SNPs with cross-disorder association were enriched for regulatory SNPs in post-mortem brain-tissue samples.

    FINDINGS: SNPs at four loci surpassed the cutoff for genome-wide significance (p<5×10(-8)) in the primary analysis: regions on chromosomes 3p21 and 10q24, and SNPs within two L-type voltage-gated calcium channel subunits, CACNA1C and CACNB2. Model selection analysis supported effects of these loci for several disorders. Loci previously associated with bipolar disorder or schizophrenia had variable diagnostic specificity. Polygenic risk scores showed cross-disorder associations, notably between adult-onset disorders. Pathway analysis supported a role for calcium channel signalling genes for all five disorders. Finally, SNPs with evidence of cross-disorder association were enriched for brain eQTL markers.

    INTERPRETATION: Our findings show that specific SNPs are associated with a range of psychiatric disorders of childhood onset or adult onset. In particular, variation in calcium-channel activity genes seems to have pleiotropic effects on psychopathology. These results provide evidence relevant to the goal of moving beyond descriptive syndromes in psychiatry, and towards a nosology informed by disease cause.

    FUNDING: National Institute of Mental Health.

    Matched MeSH terms: Bipolar Disorder/epidemiology
  10. Varma SL, Zain AM, Singh S
    Am. J. Med. Genet., 1997 Feb 21;74(1):7-11.
    PMID: 9033998
    There is increasing evidence that genetic factors play a role in the etiology of schizophrenic disorders. One thousand eighty-nine first-degree relatives of schizophrenics and 1,137 controls were studied to discover their psychiatric morbidity. Psychiatric morbidity was found in 16.34% of the first-degree relatives (FDR) of schizophrenics (parents, 5.69%; siblings, 7.71%; offspring, 2.94%) as compared to 6.9% in the controls (P < 0.001). Schizophrenia was found in 8.3% of the patient group, which was significantly higher (0.2%) as compared to the controls. Schizoid-schizotypal personality disorder was found in 3.03% of FDRs of the schizophrenic group. Depressive disorder was found in 4.4% and 2.1% in the control and patient group, respectively, which was statistically significant. Morbidity risk of schizophrenia was found in 16.97%, 6.22% and 5.79% of schizophrenia, schizoid-schizotypal personality disorder and depressive disorder, respectively, in the FDR of schizophrenic group.
    Matched MeSH terms: Bipolar Disorder/epidemiology
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