Factors Predicting Postpartum Depression among Cesarean Section Mothers with Sick Newborns


  • Nuttaya Onpiw ื์Boromarajonani College of Nursing Nakhon Phanom, Nakhonphanom University.
  • Prapairat Keawsiri Boromarajonani College of Nursing Nakhon Phanom, Nakhon Phanom University
  • Nichaporn Tipsing Boromarajonani College of Nursing Nakhon Phanom, Nakhon Phanom University
  • Panyupa Naosrisorn Boromarajonani College of Nursing Nakhon Phanom, Nakhon Phanom University
  • เปรียบแก้ว ฝาระมี Boromarajonani College of Nursing Nakhon Phanom, Nakhon Phanom University


postpartum depression, cesarean section mothers, sick newborns


The present study adopted a predictive correlational research design with the aim of investigating the predictability of postpartum depression among cesarean section mothers with sick newborns. The samples were 123 cases at a public hospital in Nakhon Phanom Province. This study was carried out during the period of May 2022 – February 2023. The research instruments were a demographic and obstetrics questionnaire, a childbirth experience questionnaire, a postpartum social support questionnaire, a parenting stress questionnaire, and a postpartum depression questionnaire. The collected data were analyzed by multiple regression.
The results indicated that mothers’ age, family income, childbirth experience, the length of infants’ treatment at the sick newborn care unit, social support, and parenting stress could predict 62.20 percent of postpartum depression among the cesarean section mothers with sick newborns (Adjust R2 = .60, F = 31.80, p < .001). The most significant predictive factor was parenting stress (ß = .23, p < .001).


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How to Cite

Onpiw N, Keawsiri P, Tipsing N, Naosrisorn P, ฝาระมี เ. Factors Predicting Postpartum Depression among Cesarean Section Mothers with Sick Newborns. J Royal Thai Army Nurses [Internet]. 2023 Sep. 1 [cited 2023 Dec. 11];24(2):414-23. Available from: https://he01.tci-thaijo.org/index.php/JRTAN/article/view/262806



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