Postpartum Fatigue and Quality of Life: A Cross-Sectional Study in South Denpasar

Ni Komang Widya Aprilia; Ni Luh Nopi Andayani; Indah Pramita; Putu Ayu Sita Saraswati

doi:10.24843/mifi.000000465

Authors

Ni Komang Widya Aprilia Undergraduate and Professional Physiotherapy Program, Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia Author
Ni Luh Nopi Andayani Department of Physiotherapy, Faculty of Medicine, Udayana University Author
Indah Pramita Department of Physiotherapy, Faculty of Medicine, Udayana University Author
Putu Ayu Sita Saraswati Department of Physiotherapy, Faculty of Medicine, Udayana University Author

DOI:

https://doi.org/10.24843/mifi.000000465

Keywords:

Fatigue, Quality of Life, Postpartum Women

Abstract

Introduction: The postpartum period is a critical phase for women's physical and mental health, with postpartum fatigue (PPF) being one of the primary complaints that can impact quality of life (QoL). PPF not only affects maternal well-being but may also disrupt infant care. Various factors, including maternal age and postpartum duration, can influence fatigue levels. Therefore, this study aims to analyze the relationship between fatigue levels and quality of life in postpartum women in South Denpasar.

Methods: This quantitative study employed a cross-sectional design with a correlational analytical approach. A total of 64 postpartum women were selected using purposive sampling. Fatigue levels were assessed using the Postpartum Fatigue Scale (PFS), while quality of life was measured using the Short Form-12 (SF-12). Data analysis was performed using Spearman's rho test.

Results: Spearman's rho analysis revealed a significant negative correlation between postpartum fatigue levels and quality of life (p = 0.000; r = -0.687). Higher postpartum fatigue levels were associated with lower quality of life among respondents.

Conclusion: This study identified a significant negative relationship between postpartum fatigue and quality of life. However, study limitations, such as the small sample size and cross-sectional design, restrict the ability to establish causal relationships.