Establishment of a nomogram for predicting functional constipation among children in China: Using the Rome IV criteria

Background and study aims

Childhood functional constipation (FC) is gradually becoming an emerging public health problem. This study aimed to develop a personalized nomogram for the prediction of incident FC among Chinese children, and the diagnosis of FC was based on the Rome IV criteria.

Patients and methods

This cross-sectional study was conducted from Nov. 2020 to Jan. 2021 among children residing in Anhui province, China. An electronic questionnaire regarding the general demographic and clinical characteristics of all children was completed by their primary caregivers. The multivariate logistic regression analysis was applied to identify risk factors for FC. Moreover, a nomogram was constructed for FC based on the risk factors identified from the multivariate analysis.

Results

In this study, a total of 901 electronic questionnaires were collected, of which 832 (92.3%) questionnaires were properly completed and included in the final analysis. The prevalence of FC among Chinese children was 11.3% based on the Rome IV criteria. After controlling for potential confounding factors, the multivariate logistic regression analysis showed that inadequate sleep, picky eating, and positive family history of FC were identified as key risk factors of FC. The area under the receiver operating characteristic curve of the nomogram was 0.694 (95 %CI: 0.6412–0.7459). Further, a calibration curve drawn illustrated that the predicted probabilities reasonably approximately the actual prevalence of FC in this population.

Conclusion

Inadequate sleep, picky eating, and positive family history of FC were identified as risk factors of FC. An easy-to-use nomogram was constructed based on these three significant factors. Besides, this nomogram was validated to have acceptable discrimination and calibration capabilities. Hence, this nomogram may enable clinical professionals to predict the risk of FC among Chinese children and further provide optimized disease prevention and intervention for this population.