Prevalence estimates of seasonal affective disorder in Iceland from the 90s were comparably low at 3.8%. Prior research suggests that risk factors for SAD are young age, evening chronotype, reduced physical activity, cognitive vulnerabilities, and specific neurophysiological patterns of brain activity. In addition, air pollution was found to induce depression and air pollution undergoes regional and seasonal fluctuations. So far, the interaction of these factors has not been examined and air pollution has been ignored.
We propose
We will survey seasonal changes in a random sample of N=5000 Icelanders and invite those scoring high in seasonality for an interview in summer and winter to obtain a clinical diagnosis of SAD.
In N=100 participants with a clinical diagnosis and a matched control group we will conduct 4 follow-ups in each season, during which we will record EEG activity at rest and during an emotional memory task; we will examine chronotype, cognitive vulnerabilities, nutrition, health-related quality of life, physical activity, sleep quality, daily fluctuations of mood and individual exposure to air pollution. Seasonal variability of all measures will be studied, and we will build a prediction model for early identification of the at-risk population.
This project is funded by the Icelandic Research Fund (appl. Nr. 228739-051/ 2106-0364).
Click here to participate in the survey
Students: Angantýr Ómar Ásgeirsson, Angelina Brigitte Carlucci, Anna Kristrún Sigurpálsdóttir, Ara Dan Pálmadóttir, Ásta Guðrún Birgisdóttir, Dagný Theódórsdóttir, Gestur Vagn Baldursson, Harpa Hlin Gunnarsdóttir, Helgi Brynjólfsson, Hilde Björk Didriksen Smith, og Marín Rut Bech Ingadóttir eru nemendur sem munu vinna ritgerðir sínar innan verkefnisins.