Search

Background: Symptoms of depression and anxiety are common during pregnancy and the postnatal period. A risk factor for mood disorders is poor sleep quality. In this study we investigate the effects of poor subjective prenatal sleep quality on postnatal depressive and anxiety symptoms, independent of prenatal depression or anxiety, amongst pregnant women in the general population., Methods: We analysed data from a subset of women taking part in a prospective cohort study, Growing Up in Singapore towards Healthy Outcomes. The participants completed the Edinburgh Postnatal Depression Scale and State-Trait Anxiety Inventory between 26 and 28 weeks of pregnancy (Time 1) and at 3 months postpartum (Time 2), and the Pittsburgh Sleep Quality Index at Time 1. Logistic regression analyses were used to investigate the associations between subjective prenatal sleep quality and postnatal depressive and anxiety symptoms, while adjusting for prenatal depressive/anxiety symptoms and education., Results: Although borderline-high depressive/anxiety symptoms were the strongest predictors of postnatal depressive/anxiety, independent of this, poor subjective sleep quality during pregnancy was also associated with borderline-high postnatal depressive symptoms, but not with postnatal anxiety., Limitations: Sleep quality and prenatal/postnatal mood were derived from self-reported questionnaires, which may be more susceptible to bias., Conclusion: Although treatment of symptoms of prenatal depression and anxiety will be the most important for reducing postnatal depression and anxiety, in addition to that, future studies may explore treatments improving prenatal sleep quality, particularly for women with antenatal depressive symptoms., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Background: The Geriatric Depression Scale (GDS) is widely used for screening and assessment of major depressive disorder (MDD). Screening scales are often culture-specific and should be evaluated for item response bias (synonymously differential item functioning, DIF) before use in clinical practice and research in a different population. In this study, we examined DIF associated with age, gender, ethnicity and chronic illness in a heterogeneous Asian population in Singapore., Methods: The GDS-15 and Structured Clinical Interview for DSM-IV diagnosis of MDD were independently administered by interviewers on 4253 non-institutionalized community living elderly subjects aged 60 years and above who were users of social service agencies. Multiple Indicator Multiple Cause latent variable modelling was used to identify DIF., Results: We found evidence of significant DIF associated with age, gender, ethnicity and chronic illness for 8 items: dropped many activities and interests, afraid something bad is going to happen, prefer staying home to going out, more problems with memory than most, think it is (not) wonderful to be alive, feel pretty worthless, feel (not) full of energy, feel that situation is hopeless., Limitations: The smaller number of minority Indian and Malay subjects and the self-report of chronic medical illnesses., Conclusions: In a heterogeneous mix of respondents in Singapore, eight items of the GDS-15 showed DIF for age, gender, ethnicity and chronic illness. The awareness and identification of DIF in the GDS-15 provides a rational basis for its use in diverse population groups and guiding the derivation of abbreviated scales.