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Psychometric testing of the Chinese version of the Perinatal Infant Care Social Support tool: a methodological study

  • Feiyan Yi (College of Nursing, Chungnam National University) ;
  • Sukhee Ahn (College of Nursing, Chungnam National University) ;
  • Miyeon Park (Department of Nursing, Baekseok Culture University)
  • Received : 2024.01.22
  • Accepted : 2024.05.21
  • Published : 2024.06.30

Abstract

Purpose: This study aimed to translate the Perinatal Infant Care Social Support (PICSS) instrument into Chinese and to verify the reliability and validity of the translated version. Methods: This study used a cross-sectional design to examine the reliability and validity of the Chinese version of the PICSS (C-PICSS). A cohort of 150 first-time mothers in China participated, attending hospital follow-up care at 6 weeks postpartum. Data were collected after obtaining informed consent from the mothers. Results: The majority of mothers were aged between 20 and 29 years, with a mean age of 26.25 (±3.90) years. An item analysis of the 19 items in the C-PICSS showed that all items had an item-total score correlation above 0.2. This resulted in a Kaiser-Meyer-Olkin value of 0.92 and a significant Bartlett's test of sphericity (χ2=1,778.65, p<.001), confirming the suitability of the data for factor analysis. Correlation analyses revealed a strong positive relationship between infant care social support and general social support (r=.62, p<.001), and a negative relationship between infant care social support and postpartum depression (r=-. 38, p<.001). Higher scores for infant care social support were associated with reporting positive relationships with their husbands (t=3.72, p<.001) and high levels of spousal involvement (t=4.09, p<.001). In terms of structural support, spouses were identified as the primary source. Conclusion: The research results indicate that C-PICSS is reliable and valid as an indicator of social support for infant care among Chinese mothers.

Keywords

Acknowledgement

This study was supported by the National Research Foundation (NRF) of Korea (NRF No. 2020R1A2C201086511).

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