Abstract
It is important to consider the potential contribution of seasonality to postpartum depression (PPD; Hiltunen et al, 2004). A possible link between seasonality and PPD may have implications for not only choice of treatment, but also in considering pregnancy planning. The objectives of this pilot study were to examine whether women with seasonal mood changes demonstrated greater incidence of PPD, and to determine if seasonality scores were predictive of PPD. The Seasonal Pattern Assessment Questionnaire (SPAQ; Rosenthal et al, 1987) was used to assess seasonality of mood. A logistic regression analysis was conducted to determine the association between clinical factors, SAD diagnosis, SPAQ global seasonality score (GSS) and season of SPAQ administration and PPD. In our sample, twice as many women in the PPD group were found to have SAD compared to the control group. The PPD group also had a higher group GSS mean (10.44) than did the control group (8.84). However, logistic regression analysis showed that higher seasonality scores in women with PPD were not necessarily predictive of PPD. While more women in the PPD group reported increased seasonal weight fluctuation and less sleep in the spring and summer, these items alone did not predict depression after childbirth.
Original language | English |
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Pages (from-to) | 9-13 |
Number of pages | 5 |
Journal | Archives of Women's Mental Health |
Volume | 10 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2007 |
Keywords
- Postpartum depression
- Seasonal affective disorder
- Seasonality
ASJC Scopus subject areas
- Obstetrics and Gynecology
- Psychiatry and Mental health