IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i14p7449-d593103.html
   My bibliography  Save this article

States Transitions Inference of Postpartum Depression Based on Multi-State Markov Model

Author

Listed:
  • Juan Xiong

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

  • Qiyu Fang

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

  • Jialing Chen

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

  • Yingxin Li

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

  • Huiyi Li

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

  • Wenjie Li

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

  • Xujuan Zheng

    (Health Science Center, Shenzhen University, Shenzhen 518060, China)

Abstract

Background : Postpartum depression (PPD) has been recognized as a severe public health problem worldwide due to its high incidence and the detrimental consequences not only for the mother but for the infant and the family. However, the pattern of natural transition trajectories of PPD has rarely been explored. Methods: In this research, a quantitative longitudinal study was conducted to explore the PPD progression process, providing information on the transition probability, hazard ratio, and the mean sojourn time in the three postnatal mental states, namely normal state, mild PPD, and severe PPD. The multi-state Markov model was built based on 912 depression status assessments in 304 Chinese primiparous women over multiple time points of six weeks postpartum, three months postpartum, and six months postpartum. Results : Among the 608 PPD status transitions from one visit to the next visit, 6.2% (38/608) showed deterioration of mental status from the level at the previous visit; while 40.0% (243/608) showed improvement at the next visit. A subject in normal state who does transition then has a probability of 49.8% of worsening to mild PPD, and 50.2% to severe PPD. A subject with mild PPD who does transition has a 20.0% chance of worsening to severe PPD. A subject with severe PPD is more likely to improve to mild PPD than developing to the normal state. On average, the sojourn time in the normal state, mild PPD, and severe PPD was 64.12, 6.29, and 9.37 weeks, respectively. Women in normal state had 6.0%, 8.5%, 8.7%, and 8.8% chances of progress to severe PPD within three months, nine months, one year, and three years, respectively. Increased all kinds of supports were associated with decreased risk of deterioration from normal state to severe PPD (hazard ratio, HR: 0.42–0.65); and increased informational supports, evaluation of support, and maternal age were associated with alleviation from severe PPD to normal state (HR: 1.46–2.27). Conclusions: The PPD state transition probabilities caused more attention and awareness about the regular PPD screening for postnatal women and the timely intervention for women with mild or severe PPD. The preventive actions on PPD should be conducted at the early stages, and three yearly; at least one yearly screening is strongly recommended. Emotional support, material support, informational support, and evaluation of support had significant positive associations with the prevention of PPD progression transitions. The derived transition probabilities and sojourn time can serve as an importance reference for health professionals to make proactive plans and target interventions for PPD.

Suggested Citation

  • Juan Xiong & Qiyu Fang & Jialing Chen & Yingxin Li & Huiyi Li & Wenjie Li & Xujuan Zheng, 2021. "States Transitions Inference of Postpartum Depression Based on Multi-State Markov Model," IJERPH, MDPI, vol. 18(14), pages 1-11, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7449-:d:593103
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/14/7449/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/14/7449/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cecilia Peñacoba Puente & Carlos Suso-Ribera & Sheila Blanco Rico & Dolores Marín & Jesús San Román Montero & Patricia Catalá, 2021. "Is the Association between Postpartum Depression and Early Maternal–Infant Relationships Contextually Determined by Avoidant Coping in the Mother?," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    2. Abel Fekadu Dadi & Emma R Miller & Lillian Mwanri, 2020. "Antenatal depression and its association with adverse birth outcomes in low and middle-income countries: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-23, January.
    3. Qun Wang & Yao Zhang & Xilin Li & Ziwen Ye & Lingling Huang & Yan Zhang & Xujuan Zheng, 2021. "Exploring Maternal Self-Efficacy of First-Time Mothers among Rural-to-Urban Floating Women: A Quantitative Longitudinal Study in China," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    4. Verónica Martínez-Borba & Carlos Suso-Ribera & Jorge Osma & Laura Andreu-Pejó, 2020. "Predicting Postpartum Depressive Symptoms from Pregnancy Biopsychosocial Factors: A Longitudinal Investigation Using Structural Equation Modeling," IJERPH, MDPI, vol. 17(22), pages 1-15, November.
    5. Wenjie Gong & Xin Jin & Kar Keung Cheng & Eric D. Caine & Richard Lehman & Dong (Roman) Xu, 2020. "Chinese Women’s Acceptance and Uptake of Referral after Screening for Perinatal Depression," IJERPH, MDPI, vol. 17(22), pages 1-11, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xichenhui Qiu & Ting Li & Qiyu Fang & Lingling Huang & Xujuan Zheng, 2022. "Online and Offline Intervention for the Prevention of Postpartum Depression among Rural-to-Urban Floating Women: Study Protocol for a Randomized Control Trial," IJERPH, MDPI, vol. 19(13), pages 1-13, June.
    2. Qianqian Chen & Wenjie Li & Juan Xiong & Xujuan Zheng, 2022. "Prevalence and Risk Factors Associated with Postpartum Depression during the COVID-19 Pandemic: A Literature Review and Meta-Analysis," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
    3. Miyoung Lee & Yeon-Suk Kim & Mi-Kyoung Lee, 2021. "The Mediating Effect of Marital Intimacy on the Relationship between Spouse-Related Stress and Prenatal Depression in Pregnant Couples: An Actor–Partner Interdependent Model Test," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    4. Lingling Huang & Qu Shen & Qiyu Fang & Xujuan Zheng, 2021. "Effects of Internet-Based Support Program on Parenting Outcomes for Primiparous Women: A Pilot Study," IJERPH, MDPI, vol. 18(9), pages 1-10, April.
    5. Anna Kucab & Edyta Barnaś & Joanna Błajda, 2022. "Assessment of the Postpartum Emotional Wellbeing among Women Participating and Not Participating in Antenatal Classes," IJERPH, MDPI, vol. 19(8), pages 1-11, April.
    6. Cecilia Peñacoba Puente & Carlos Suso-Ribera & Sheila Blanco Rico & Dolores Marín & Jesús San Román Montero & Patricia Catalá, 2021. "Is the Association between Postpartum Depression and Early Maternal–Infant Relationships Contextually Determined by Avoidant Coping in the Mother?," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    7. Seo Ah Hong & Doungjai Buntup, 2023. "Maternal Depression during Pregnancy and Postpartum Period among the Association of Southeast Asian Nations (ASEAN) Countries: A Scoping Review," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    8. Palfreyman, Alexis & Gazeley, Ursula, 2022. "Adolescent perinatal mental health in South Asia and Sub-Saharan Africa: A systematic review of qualitative and quantitative evidence," Social Science & Medicine, Elsevier, vol. 313(C).
    9. Dahlia Tharwat & Marion Trousselard & Dominique Fromage & Célia Belrose & Mélanie Balès & Anne-Laure Sutter-Dallay & Marie-Laure Ezto & Françoise Hurstel & Thierry Harvey & Solenne Martin & Cécile Vig, 2022. "Acceptance Mindfulness-Trait as a Protective Factor for Post-Natal Depression: A Preliminary Research," IJERPH, MDPI, vol. 19(3), pages 1-18, January.
    10. Sarah Van Haeken & Marijke Anne Katrien Alberta Braeken & Anne Groenen & Annick Bogaerts, 2024. "A Supported Online Resilience-Enhancing Intervention for Pregnant Women: A Non-Randomized Pilot Study," IJERPH, MDPI, vol. 21(2), pages 1-17, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7449-:d:593103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.