Dataset Information


Modelling of psychosocial and lifestyle predictors of peripartum depressive symptoms associated with distinct risk trajectories: a prospective cohort study.

ABSTRACT: Perinatal depression involves interplay between individual chronic and acute disease burdens, biological and psychosocial environmental and behavioural factors. Here we explored the predictive potential of specific psycho-socio-demographic characteristics for antenatal and postpartum depression symptoms and contribution to severity scores on the Edinburgh Postnatal Depression Scale (EPDS) screening tool. We determined depression risk trajectories in 480 women that prospectively completed the EPDS during pregnancy (TP1) and postpartum (TP2). Multinomial logistic and penalised linear regression investigated covariates associated with increased antenatal and postpartum EPDS scores contributing to the average or the difference of paired scores across time points. History of anxiety was identified as the strongest contribution to antenatal EPDS scores followed by the social status, whereas a history of depression, postpartum depression (PPD) and family history of PPD exhibited the strongest association with postpartum EPDS. These covariates were the strongest differentiating factors that increased the spread between antenatal and postpartum EPDS scores. Available covariates appeared better suited to predict EPDS scores antenatally than postpartum. As women move from the antenatal to the postpartum period, socio-demographic and lifestyle risk factors appear to play a smaller role in risk, and a personal and family history of depression and PPD become increasingly important.


PROVIDER: S-EPMC6109131 | BioStudies | 2018-01-01T00:00:00Z

REPOSITORIES: biostudies

Similar Datasets

2020-01-01 | S-EPMC7702696 | BioStudies
2019-01-01 | S-EPMC6882237 | BioStudies
2020-01-01 | S-EPMC7263529 | BioStudies
2018-01-01 | S-EPMC6089649 | BioStudies
2014-01-01 | S-EPMC4121230 | BioStudies
2020-01-01 | S-EPMC7178606 | BioStudies
2018-01-01 | S-EPMC5872717 | BioStudies
2017-01-01 | S-EPMC5466796 | BioStudies
2011-01-01 | S-EPMC3154107 | BioStudies
2018-01-01 | S-EPMC5812627 | BioStudies