IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i24p9489-d464250.html
   My bibliography  Save this article

Associations between Maternal and Infant Illness and the Risk of Postpartum Depression in Rural China: A Cross-Sectional Observational Study

Author

Listed:
  • Wenbin Min

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Wei Nie

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Shuyi Song

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Nan Wang

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Weiqi Nie

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Lanxi Peng

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Zhuo Liu

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Jingchun Nie

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Jie Yang

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

  • Yonghong Ma

    (School of Public Health, Xi’an Medical University, Xi’an 710021, China)

  • Yaojiang Shi

    (Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710119, China)

Abstract

This study explored how maternal and infant illness correlated with the risk of postpartum depression in the Chinese Qinba Mountains region. In total, 131 villages comprising 435 families with infants (≤6 months old) were randomly sampled. We collected data on maternal and infant illnesses and maternal health knowledge level. The Depression, Anxiety, and Stress Scale-21 was used to measure the risk of postpartum depression. We used descriptive statistics and multivariate logistic regression for the analysis. Infant overall health status was a risk factor for postpartum depression (odds ratio (OR) = 1.90, 95% Confidence Interval (95% CI) = 1.10~3.28), whereas maternal overall health status was not correlated with postpartum depression (OR = 1.36, 95% CI = 0.55~3.39). For specific illnesses, infants experiencing over two common illnesses in the past two weeks (OR = 1.98, 95% CI = 1.13~3.45) and mothers experiencing over two common pains within two weeks after delivery (OR = 1.77, 95% CI = 1.02~3.08) were risk factors for postpartum depression, whereas infants with mild and severe stunted growth, maternal C-section, and postpartum body mass index (normal or overweight) were not correlated with it (all p > 0.050). Maternal health knowledge was an important moderator of maternal and infant illnesses on the risk of postpartum depression. In conclusion, maternal and infant illness were essential factors for the risk of postpartum depression in a poor rural region in western China, which may be mainly affected by the feeling of uncertainty of illness. Improved maternal and infant health and enhanced maternal health knowledge might alleviate the risk of postpartum depression.

Suggested Citation

  • Wenbin Min & Wei Nie & Shuyi Song & Nan Wang & Weiqi Nie & Lanxi Peng & Zhuo Liu & Jingchun Nie & Jie Yang & Yonghong Ma & Yaojiang Shi, 2020. "Associations between Maternal and Infant Illness and the Risk of Postpartum Depression in Rural China: A Cross-Sectional Observational Study," IJERPH, MDPI, vol. 17(24), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9489-:d:464250
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/24/9489/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/24/9489/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siqi Zhang & Ruirui Dang & Ning Yang & Yu Bai & Lei Wang & Cody Abbey & Scott Rozelle, 2018. "Effect of Caregiver’s Mental Health on Early Childhood Development across Different Rural Communities in China," IJERPH, MDPI, vol. 15(11), pages 1-25, October.
    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. Xihong Wu & Gang Cheng & Cai Tang & Qunhui Xie & Simin He & Ruotong Li & Yan Yan, 2020. "The Effect of Parenting Quality on Child Development at 36–48 Months in China’s Urban Area: Evidence from a Birth Cohort Study," IJERPH, MDPI, vol. 17(23), pages 1-11, December.
    2. Vibian Angwenyi & Margaret Kabue & Esther Chongwo & Adam Mabrouk & Ezra Kipngetich Too & Rachel Odhiambo & Carophine Nasambu & Joyce Marangu & Derrick Ssewanyana & Eunice Njoroge & Eunice Ombech & Mer, 2021. "Mental Health during COVID-19 Pandemic among Caregivers of Young Children in Kenya’s Urban Informal Settlements. A Cross-Sectional Telephone Survey," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    3. Yu Bai & Reyila Abulitifu & Dan Wang, 2022. "Impact of an Early Childhood Development Intervention on the Mental Health of Female Caregivers: Evidence from a Randomized Controlled Trial," IJERPH, MDPI, vol. 19(18), pages 1-30, September.
    4. Rui Li & Nathan Rose & Yi Ming Zheng & Yunwei Chen & Sean Sylvia & Henry Wilson-Smith & Alexis Medina & Sarah-Eve Dill & Scott Rozelle, 2021. "Early Childhood Reading in Rural China and Obstacles to Caregiver Investment in Young Children: A Mixed-Methods Analysis," IJERPH, MDPI, vol. 18(4), pages 1-27, February.
    5. Siqi Zhang & Lei Wang & Yue Xian & Yu Bai, 2020. "Mental Health Issues among Caregivers of Young Children in Rural China: Prevalence, Risk Factors, and Links to Child Developmental Outcomes," IJERPH, MDPI, vol. 18(1), pages 1-19, December.
    6. Xiaoming Lin & Ruodan Lu & Liang Guo & Bing Liu, 2019. "Social Capital and Mental Health in Rural and Urban China: A Composite Hypothesis Approach," IJERPH, MDPI, vol. 16(4), pages 1-16, February.
    7. Qi Jiang & Xinshu She & Sarah-Eve Dill & Sean Sylvia & Manpreet Kaur Singh & Huan Wang & Matthew Boswell & Scott Rozelle, 2022. "Depressive and Anxiety Symptoms among Children and Adolescents in Rural China: A Large-Scale Epidemiological Study," IJERPH, MDPI, vol. 19(9), pages 1-16, April.
    8. Huan Wang & Claire Cousineau & Yuwei Adeline Hu & Grace Hu & Sunny Qi & Adrian Sun & Helen Wu & Scott Rozelle & Manpreet Singh, 2021. "Examining the Relation between Caregiver Mental Health and Student Outcomes in Rural China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

    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:17:y:2020:i:24:p:9489-:d:464250. 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.