Trajectories of cognitive reactivity and its predictive value on postpartum depression in Chinese women: a latent class growth modeling analysis

Abstract

Many women are experiencing postpartum depression (PPD) after giving birth. How to recognize and intervene in high-risk PPD women early and effectively remains unknown. Our objective is to describe the latent trajectory groups of cognitive reactivity (CR) in perinatal women, and their relationship to demographic and disease-related factors, as well as investigate the associations with PPD. Data from 321 perinatal women who were evaluated in urban tertiary hospitals in China at three-time points: 32-35 weeks of pregnancy, 1 week postpartum, and 6 weeks postpartum. Latent class growth modeling was used to identify the trajectory patterns of CR and logistic regression was used to explore the association between demographic and disease-related factors, CR trajectories, and depression. Three trajectory groups were identified: the continuing deterioration group (17.2%), the postpartum deterioration group (22.1%), and the consistent resilient group (60.7%). Participants with a bachelor’s degree or higher and with gestational diabetes diagnosis were more likely to be in the continuing deterioration group. Those who were from only-child families were more likely to be in the postpartum deterioration group. Women in the continuing deterioration group and postpartum deterioration group were more likely to experience PPD. Targeted interventions should be developed based on trajectory group of CR.

Keywords:

• Cognitive reactivity
• perinatal women
• mood disorders
• postpartum depression
• latent class growth analysis

Acknowledgements

We gratefully acknowledge all the study participants, without them, it is not possible to complete the study. We would also like to thank all women participants for their valuable contribution to this project. Yanqing Fu had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Ethical approval

All study participants provided written informed consent, and the study design was approved by the ethics committee at Fujian Medical University (No 2017024).

Author contributions

The specific contributions of each author are as follows: YQF contributed to the analysis and interpretation of data and both the original and revised versions of the manuscript. FFH was responsible for the research design and oversaw revisions of the manuscript. WTC was responsible for oversaw revisions of the manuscript. XJL and YLL contributed to data collection and proofread the manuscript. MFZ contributed to development of the methodology.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The participants of this study did not give written consent for their data to be shared publicly, and due to the sensitive nature of the research, supporting data is not available.

Additional information

Funding

This research was supported by the Startup Fund for High-level Talents of the Fujian Medical University, with grant number [XRCZX2017011], and General Project of Fujian Provincial Nature Science Foundation, with grant number [2017J05133].