Literature DB >> 1791263

Atypical depressive symptoms possibly predict responsiveness to phototherapy in seasonal affective disorder.

H Nagayama1, M Sasaki, S Ichii, K Hanada, M Okawa, T Ohta, Y Asano, Y Sugita, J Yamazaki, M Kohsaka.   

Abstract

Phototherapy was administered to 24 depressed patients with seasonal affective disorder (SAD), of which 62%, 24%, and 14%, respectively, showed improvements of greater than or equal to 50%, 25-50%, and less than 25% based on the Hamilton rating scale for depression for SAD (HAMSAD). No patients showed aggravation or side effects. Although the improvement rate in HAMSAD correlated significantly with the pretreatment severity of atypical symptoms of depression, it did not correlate with that of typical symptoms. This suggests that phototherapy is a useful treatment in SAD and that responsiveness to phototherapy in SAD can possibly be predicted by the atypical depressive symptoms before treatment.

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Year:  1991        PMID: 1791263     DOI: 10.1016/0165-0327(91)90099-e

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  4 in total

1.  Early response to light therapy partially predicts long-term antidepressant effects in patients with seasonal affective disorder.

Authors:  L Sher; J R Matthews; E H Turner; T T Postolache; K S Katz; N E Rosenthal
Journal:  J Psychiatry Neurosci       Date:  2001-09       Impact factor: 6.186

Review 2.  [Seasonal depression and phototherapy: problems and hypotheses].

Authors:  J Carrier; M Dumont
Journal:  J Psychiatry Neurosci       Date:  1995-01       Impact factor: 6.186

Review 3.  "Shedding Light on Light": A Review on the Effects on Mental Health of Exposure to Optical Radiation.

Authors:  Davide Elia Bertani; Antonella Maria Pia De Novellis; Riccardo Farina; Emanuela Latella; Matteo Meloni; Carmela Scala; Laura Valeo; Gian Maria Galeazzi; Silvia Ferrari
Journal:  Int J Environ Res Public Health       Date:  2021-02-09       Impact factor: 3.390

4.  Predictability of Seasonal Mood Fluctuations Based on Self-Report Questionnaires and EEG Biomarkers in a Non-clinical Sample.

Authors:  Yvonne Höller; Maeva Marlene Urbschat; Gísli Kort Kristófersson; Ragnar Pétur Ólafsson
Journal:  Front Psychiatry       Date:  2022-04-08       Impact factor: 5.435

  4 in total

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