Résumé
IntroductionThe degree to which the change of season influences mood, energy, sleep, appetite, food preference,and the wish to socialize has been called “seasonality” [1]. In 1984 Rosenthal and associatesdescribed the syndrome of “seasonal affective disorder” (SAD), a condition where depressions in falland winter alternate with non-depressed periods in the spring and summer [5]. Seasonal AffectiveDisorder (SAD) is supposed to be caused by lack of daylight in winter [6]. Ulaanbaatar city is thecoldest capital in compared with medium temperature of the world. That’s why, it is an idea that wesupposed to there might be a seasonal affective disorder in this city. There is nothing to be studiedbefore related to this topic and that is our goal of the study.GoalTo determine a seasonal affective disorder in the adults of Ulaanbaatar cityMaterials and MethodsIn this study, we examined 560 healthy people between 20-60 aged livings in the Ulaanbaatar cityusing by Seasonal Pattern Assessment Questionnaire.ResultGender distribution showed an increased incidence of females (56.1%, 314 cases) compared withmale (43.9%, 246 cases). Distribution by age groups shows that 20-29 years were 237 (42.3%),30-39 years were 99 (17.6%), 40-49 years were 132 (23.5%), and 50-59 years were 92 (16.4%).According to the Seasonal Pattern Assessment Questionnaire, below 8 score was 323 (57.6%), 9-10 score 53 (9.4%), over the 11 score 184 (33%).ConclusionAccording to the questionnaire of Seasonal pattern assessment, 33 percent were seasonal affectivedisorder. It means Mongolian people of Ulaanbaatar have Seasonal affective disorder.
Résumé
OBJECTIVES: Recurrence of mood episodes associated with a specific season has been described in various mood disorders. Seasonal change in mood and behavior as a lifetime trait is also observed in healthy individuals. This study aimed at comparing the lifetime trait of seasonal variations of mood and behavior between bipolar disorder patients and controls as well as investigating associated factors of seasonality. METHODS: Subjects were ninety-four clinically stable patients with bipolar disorder and 188 age- and sex-matched healthy controls. Seasonality of mood and behavior was assessed retrospectively on lifetime basis using Seasonal Pattern Assessment Questionnaire(SPAQ). RESULTS: The patient group showed a higher median global seasonality score(GSS) of SPAQ and a higher rate of seasonal affective disorder(SAD) compared to the control group(p < 0.0001). For subjects showing prominent seasonality, the seasonal symptom profile and seasonal pattern was similar in both patient and control groups. In addition to the diagnosis, female gender was shown to be a predictor of seasonality in the multiple linear regression analysis(p = 0.045). CONCLUSION: This study suggests that lifetime trait of seasonality may be related to the susceptibility of bipolar disorder.