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Association between Flexibility, Measured with the Back-Scratch Test, and the Odds of Oxytocin Administration during Labour and Caesarean Section.

Virginia Ariadna AparicioNuria Marín-JiménezJose Castro PiñeroMarta Flor-AlemanyIrene Coll-RiscoLaura Baena-García
Published in: Journal of clinical medicine (2024)
Objective: This study explored whether assessing flexibility levels in clinical settings might predict the odds of oxytocin administration and caesarean section to stimulate labour. Methods: Pregnant women from the GESTAFIT Project (n = 157), participated in this longitudinal study. Maternal upper-body flexibility was assessed at 16 gestational weeks (g.w.) through the Back-scratch test. Clinical data, including oxytocin administration and type of birth, were registered from obstetric medical records. Results: Pregnant women who required oxytocin administration or had caesarean sections showed lower flexibility scores ( p < 0.05 and p < 0.01, respectively). The receiver operating characteristic curve analysis showed that the Back-scratch test was able to detect the need for oxytocin administration ((area under the curve [AUC] = 0.672 (95% confidence interval [CI]: 0.682 (95% CI: 0.59-0.78, p = 0.001)). The AUC to establish the ability of flexibility to discriminate between vaginal and caesarean section births was 0.672 (95% CI: 0.60-0.77, p = 0.002). A Back-scratch test worse than 4 centimetres was associated with a ~5 times greater increased odds ratio of requiring exogenous oxytocin administration (95% CI: 2.0-11.6, p = 0.001) and a ~4 times greater increased odds ratio of having a caesarean section (95% CI: 1.7-10.2, p = 0.002). Conclusions: These findings suggest that lower flexibility levels at the 16th g.w. discriminates between pregnant women who will require oxytocin and those who will not, and those with a greater risk of a caesarean section than those with a vaginal birth. Pregnant women below the proposed Back-scratch test cut-offs at 16th g.w. might specifically benefit from physical therapies that include flexibility training.
Keyphrases
  • pregnant women
  • pregnancy outcomes
  • gestational age
  • healthcare
  • birth weight
  • mental health
  • machine learning
  • electronic health record
  • deep learning