Objective To investigate the current status of developmental coordination disorder (DCD) among preschool children in Wujiang District, Suzhou City, to analyze its influencing factors, and to establish and validate a nomogram prediction model. Methods From September 2023 to January 2024, 341 preschool children in Wujiang District, Suzhou City, were randomly selected as the modeling set. From February to April 2024, 145 preschool children were randomly selected as the validation set. The Movement Assessment Battery for Children-2 (MABC-2) was used for screening, and the Developmental Coordination Disorder Questionnaire (DCDQ) was administered for surveys. The scores of MABC-2 dimensions and DCDQ were compared across different genders and age groups. Univariate and multivariate Logistic regression analyses were conducted to identify factors influencing DCD in preschool children. A nomogram prediction model was constructed, and receiver operating characteristic (ROC) curves and calibration curves were plotted to evaluate the discrimination and consistency of the model in internal (modeling set) and external (validation set) validation. Results Girls scored higher in manual dexterity but lower in aiming and catching compared to boys (t=2.811, 5.384, P<0.05). Girls and 6-year-old children scored higher in motor control, fine motor/writing abilities, and general coordination compared to boys (t=2.860, 5.775, 3.801) and 5-year-old children (t=4.372, 3.099, 2.679, P<0.05). Among the 341 preschool children in the modeling set, 31 cases of DCD were detected, yielding a detection rate of 9.09%. Independent risk factors for DCD included male gender (OR=2.072), father's education level of high school or below (OR=2.176), mother's education level of high school or below (OR=2.088), family annual income of <50 000 yuan (OR=2.551), and housing area of <75 m2 (OR=5.138, P<0.05). In the nomogram model, housing area was the most influential factor (99.8 points), followed by family income (59.2 points), father's education level (48.8 points), mother's education level (45.5 points), and gender (44.0 points). The area under the ROC curve (AUC) for internal validation (modeling set) was 0.789 (95%CI: 0.691 - 0.878), indicating good discrimination. The Hosmer-Lemeshow goodness-of-fit test yielded a value of 4.202 (P=0.838), indicating good consistency. For external validation (validation set), the AUC was 0.737 (95%CI: 0.676 - 0.853), with good discrimination, and the Hosmer-Lemeshow goodness-of-fit test yielded a value of 6.782 (P=0.624), indicating good consistency. Conclusions The detection rate of DCD among preschool children in Wujiang District, Suzhou City, is relatively high. Factors such as gender, parental education level, family annual income, and housing area significantly influence the occurrence of DCD. The constructed nomogram model demonstrates good discrimination and consistency, providing an intuitive tool for predicting the risk of developmental coordination disorder in children.
Key words
developmental coordination disorder /
nomogram /
prediction model /
preschool children
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