Japanese Journal of Nursing and Health Sciences
Online ISSN : 2424-0052
ISSN-L : 2424-0052
Study Paper
Analysis of mothers' sentiments regarding postpartum depression by text mining: Based on contents of remarks on social media
Megumi HoribeSayaka SasaokaMisa NaganumaShiori HasegawaHideaki HaraMitsuhiro Nakamura
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JOURNAL FREE ACCESS

2018 Volume 16 Issue 2 Pages 53-63

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Abstract
The aim of this research is to learn the thoughts of mothers during child rearing and to discuss preventive measures for postpartum depression. The subject of this research is 763 comments on " postpartum depression " posted on a website operated by Benesse Corporation. The analysis was performed using KH Coder. Among the written terms, the occurrence rates of the top 50 words were compared by coding rule file for each age and type of employment. The result, by generation is " basic living behavior ( χ2 = 10.58, p < 0.01) ", " social life behavior ( χ2 = 12.88, p < 0.01) " and " childbirth behavior ( χ2 = 9.07, p < 0.05) " , and the highest values were shown for the subjects in their twenties in each item. In terms of employment form, it was " social life behavior ( χ2 = 9.65, p < 0.01) " , which was highest in part-time workers. From the analysis of co-occurrence networks, it turned out that mothers felt stress from relationships with child rearing supporters, their child's crying and their own insomnia. From the above, it was suggested that prevention measures for postpartum depression need to be taken for improving their child-rearing environment and resting their mind and body.
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© 2018 The Editorial Committee of Japanese Journal of Nursing and Health Sciences
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