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. 2021 Apr 28;21(1):203.
doi: 10.1186/s12887-021-02655-7.

Bidirectional association of neurodevelopment with growth: a prospective cohort study

Affiliations

Bidirectional association of neurodevelopment with growth: a prospective cohort study

Xiaotong Wei et al. BMC Pediatr. .

Abstract

Background: The study aims to use the cross-lagged model and utilize data from the Born in Shenyang Cohort Study to characterize the bidirectional associations of the term-born infants' neurodevelopment in five domains and physical growth in early life.

Method: This study consists of 688 mother-child dyads from the Born in Shenyang Cohort Study. Infants' anthropometric (weight and length) and development in neurological outcomes (Gesell Development Scale) were measured at the age of 6 and 12 months. Cross-lagged analyses and multiple linear regression analyses were used to explore the longitudinal relationships in both directions.

Results: In terms of longitudinal studies, the inverse associations between infants' two skills (gross motor and social behavior) at the age of 6 months with BMI Z -scores at the age of 12 months (gross motor: aβ = - 0.20, 95% CI: - 0.31 to- 0.09; social behavior: aβ = - 0.23, 95% CI: - 0.33 to- 0.13) were found. Conversely, a higher infant Z -scored BMI at the age of 6 months predicted a lower gross motor at the age of 12 months (aβ = - 0.08, 95% CI: - 0.12 to- 0.04). In cross-lagged analyses, an adverse association in both directions between gross motor and Z -scored BMI was observed.

Conclusion: We found bidirectional relationships between infants' neurodevelopment of gross motor with physical growth and suggested the term-born infants, who are on the edge of the developmental danger, should not be overlooked.

Keywords: Anthropometric measurements; Neurodevelopment; Pediatrics; Physical growth.

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Conflict of interest statement

The authors declare no potential conflicts of interest.

Figures

Fig. 1
Fig. 1
Flowchart of recruitment and research
Fig. 2
Fig. 2
Cross-lagged model of associations between neurodevelopment and z-scored BMI at the age of 6 and 12 months (N = 449). The values represent β-regression coefficients and adjusted for confounding variables. The model fit well among the five models, and ranged from: Χ2 = 6.86–20.98, RMSEA = 0.02–0.05, CFI = 0.96–1.00, TLI = 0.98–1.00, SRMR = 0–0.02. T1:6 months; T2: 12 months; BMI: body mass index. *P < 0.05, **P < 0.001
Fig. 3
Fig. 3
Cross-lagged model of associations between neurodevelopment and weight gain at the age of 6 and 12 months (N = 449). The values represent β-regression coefficients and adjusted for confounding variables. The model fit well among the five models, and ranged from: Χ2 = 8.86–27.98, RMSEA = 0.01–0.04, CFI = 0.97–1.00, TLI = 0.95–1.00, SRMR = 0.00–0.02. T1:6 months; T2: 12 months; wt: weight. *P < 0.05, **P < 0.001

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