{"title":"The effect of maternal fatigue on the risk of fetal growth retardation","authors":"Zhanhong Fan, Akinyemi Lydia Idowu, Li Sun, Zhiqiu Cao, Feng Zhang","doi":"10.1016/j.earlhumdev.2025.106322","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>The purpose of this study is to investigate the influence of fatigue trajectories on fetal growth during pregnancy.</div></div><div><h3>Methods</h3><div>Pregnant women and their fetuses were recruited at 11–13 weeks of gestation. Fatigue was assessed using the Chalder Fatigue Scale. Fetal growth was monitored through three ultrasound examinations. Growth Mixture Models characterized fatigue trajectories during pregnancy, while Generalized Estimating Equations analyzed the relationship between fatigue and fetal growth. Latent Growth Curve Models further explored how changes in fatigue and fetal growth affected their trajectories.</div></div><div><h3>Results</h3><div>The analysis included 782 pregnant women. The GEEs revealed significant differences in fetal growth metrics—BPD, AC, and FL, across four groups based on fatigue trajectory (P <sub>total</sub> < 0.001). Compared to the non-fatigued group, the persistent fatigue group showed significantly lower BPD (β = 0.067, 95 % CI 0.021–0.220 <em>P</em> < 0.001), AC (β < 0.001, 95 % CI 1.432E<sup>−08</sup>–0.001; <em>P</em> < 0.001), and FL (β = 0.073, 95 % CI 0.027–0.196; P < 0.001), next was the early fatigue group. Parallel process LGCM results showed that higher initial levels of maternal fatigue during pregnancy were associated with lower baseline BPD (<em>r</em> = −0.062, <em>P</em> = 0.022), AC (<em>r</em> = −0.147, <em>P</em> = 0.030), and FL (<em>r</em> = −0.458, <em>P</em> = 0.004) measurements. In addition, we observed that the change in the slope of maternal fatigue also affected the change in the AC measurements (β = −0.917, <em>P</em> = 0.015).</div></div><div><h3>Conclusion</h3><div>Maternal fatigue during pregnancy impacts fetal growth. Initial levels of fatigue predicted the trajectory of fetal growth changes, and the slope of change in fatigue simultaneously affected the slope of change of infant growth, highlighting the importance of comprehensive management and intervention for excessive fatigue.</div></div>","PeriodicalId":11435,"journal":{"name":"Early human development","volume":"208 ","pages":"Article 106322"},"PeriodicalIF":2.2000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Early human development","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S037837822500132X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
The purpose of this study is to investigate the influence of fatigue trajectories on fetal growth during pregnancy.
Methods
Pregnant women and their fetuses were recruited at 11–13 weeks of gestation. Fatigue was assessed using the Chalder Fatigue Scale. Fetal growth was monitored through three ultrasound examinations. Growth Mixture Models characterized fatigue trajectories during pregnancy, while Generalized Estimating Equations analyzed the relationship between fatigue and fetal growth. Latent Growth Curve Models further explored how changes in fatigue and fetal growth affected their trajectories.
Results
The analysis included 782 pregnant women. The GEEs revealed significant differences in fetal growth metrics—BPD, AC, and FL, across four groups based on fatigue trajectory (P total < 0.001). Compared to the non-fatigued group, the persistent fatigue group showed significantly lower BPD (β = 0.067, 95 % CI 0.021–0.220 P < 0.001), AC (β < 0.001, 95 % CI 1.432E−08–0.001; P < 0.001), and FL (β = 0.073, 95 % CI 0.027–0.196; P < 0.001), next was the early fatigue group. Parallel process LGCM results showed that higher initial levels of maternal fatigue during pregnancy were associated with lower baseline BPD (r = −0.062, P = 0.022), AC (r = −0.147, P = 0.030), and FL (r = −0.458, P = 0.004) measurements. In addition, we observed that the change in the slope of maternal fatigue also affected the change in the AC measurements (β = −0.917, P = 0.015).
Conclusion
Maternal fatigue during pregnancy impacts fetal growth. Initial levels of fatigue predicted the trajectory of fetal growth changes, and the slope of change in fatigue simultaneously affected the slope of change of infant growth, highlighting the importance of comprehensive management and intervention for excessive fatigue.
期刊介绍:
Established as an authoritative, highly cited voice on early human development, Early Human Development provides a unique opportunity for researchers and clinicians to bridge the communication gap between disciplines. Creating a forum for the productive exchange of ideas concerning early human growth and development, the journal publishes original research and clinical papers with particular emphasis on the continuum between fetal life and the perinatal period; aspects of postnatal growth influenced by early events; and the safeguarding of the quality of human survival.
The first comprehensive and interdisciplinary journal in this area of growing importance, Early Human Development offers pertinent contributions to the following subject areas:
Fetology; perinatology; pediatrics; growth and development; obstetrics; reproduction and fertility; epidemiology; behavioural sciences; nutrition and metabolism; teratology; neurology; brain biology; developmental psychology and screening.