A Quantile Regression Analysis of Factors Associated with First-Time Maternal Fatigue in Korea

Jeongok Park, Chang Gi Park and Kyoungjin Lee
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Jeongok Park: Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul 03722, Korea
Chang Gi Park: Department of Population Health Nursing Science, College of Nursing, University of Illinois, Chicago, IL 60607, USA
Kyoungjin Lee: College of Nursing and Brain Korea 21 FOUR Project, Younsei University, Seoul 03722, Korea

IJERPH, 2021, vol. 19, issue 1, 1-12

Abstract: The aim of this cross-sectional study was to identify the factors associated with different percentiles of first-time maternal fatigue. A total of 123 first-time healthy mothers aged 18 years or older participated through an online survey. The fatigue was measured by the Korean version of the fatigue severity scale. Main variables were constructed based on the integrated fatigue model, which included mothers’ sleep quality, parenting stress, the amount of free time mothers have, the number of the child’s night wakings, general characteristics including socioeconomic status, and working status. Quantile regression was used to analyze the associated factors according to the fatigue level of first-time mothers with a young child. The mean age of the mothers and children were 32.11 years and 20.81 months, respectively. Mean fatigue score was 6.16 among the 75% quantile with high fatigue score. Lack of adequate free time in mothers, advanced maternal age, being a housewife, having a moderate income, and frequent night wakings of their child significantly increased fatigue among mothers in the third quantile of fatigue. To reduce fatigue, healthcare providers should focus on exploring ways to reduce maternal sleep disturbance and improve maternal sleep quality.

Keywords: fatigue; mothers; sleep quality; parenting stress; child behavior; children; sleep problems; nursing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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