Factors influencing postpartum fatigue in Indonesia: a cross-sectional study.

  • Published In: British Journal of Midwifery, 2025, v. 33, n. 7. P. 390 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Nursalam; Nastiti, Aria Aulia; Wahyuni, Erna Dwi; Savitri, Resky Amelia; Triharini, Mira; Inta, Pornpan; Prasetyo, Budi 3 of 3

Abstract

Background/Aims: Postpartum fatigue is a common condition that can negatively affect women's physical and mental health, as well as their baby's development. The aim of this study was to analyse factors associated with postpartum fatigue, based on Mercer's maternal role attainment theory. Methods: This cross-sectional study involved 102 purposively sampled postpartum mothers. Data were collected using a questionnaire that incorporated validated scales to assess postpartum fatigue, sources of social support, depression and anxiety. Statistical analysis was conducted using Spearman's Rho test. Results: Postpartum fatigue was significantly linked with parity (P=0.027), inter-pregnancy interval (P=0.031), marriage age (P=0.043), living with parents or in-laws (P=0.042), number of children (P=0.020), father's age (P=0.018), the mother–father relationship (P<0.001), family support (P<0.001) and stress (P<0.001). Conclusions: Several demographic factors can influence postpartum fatigue, highlighting the importance of holistic postpartum care. Implications for practice: Postpartum care should be holistic and personalised, emphasising family support, partner involvement and stress management to reduce maternal fatigue and enhance wellbeing. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Midwifery. 2025/07, Vol. 33, Issue 7, p390
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0969-4900
  • DOI:10.12968/bjom.2024.0119
  • Accession Number:186250893
  • Copyright Statement:Copyright of British Journal of Midwifery is the property of Mark Allen Holdings Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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