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Anthropometric proxies for child neurodevelopment in low-resource settings: length- or height-for-age, head circumference or both?
Lamb, Molly M; Connery, Amy K; Colbert, Alison M; Bauer, Desirée; Olson, Daniel; Paniagua-Avila, Alejandra; Calvimontes, Diva M; Bolaños, Guillermo Antonio; Sahly, Hana M El; Muñoz, Flor M; Asturias, Edwin J.
Affiliation
  • Lamb MM; Center for Global Health and Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
  • Connery AK; Children's Hospital Colorado, Aurora, CO, USA.
  • Colbert AM; Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO, USA.
  • Bauer D; Children's Hospital Colorado, Aurora, CO, USA.
  • Olson D; Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO, USA.
  • Paniagua-Avila A; Center for Human Development, Fundación Para LA Salud Integral DE los Guatemaltecos, Retalhuleu, Guatemala.
  • Calvimontes DM; Center for Global Health and Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
  • Bolaños GA; Children's Hospital Colorado, Aurora, CO, USA.
  • Sahly HME; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
  • Muñoz FM; Center for Human Development, Fundación Para LA Salud Integral DE los Guatemaltecos, Retalhuleu, Guatemala.
  • Asturias EJ; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
J Dev Orig Health Dis ; 14(1): 61-69, 2023 02.
Article in En | MEDLINE | ID: mdl-35844103
Stunting (<-2 SD of length- or height-for-age on WHO growth curves) is the most used predictor of child neurodevelopmental (ND) risk. Occipitofrontal head circumference (OFC) may be an equally feasible, but more direct and robust predictor. We explored association of the two measurements with ND outcome, separately and combined, and examined if cutoffs are more efficacious than continuous measures in predicting ND risk. Infants and young children in rural Guatemala (n = 642; age range = 0.1-35.9 months) were enrolled in a prospective natural history study, and their ND was tested using the Mullen Scales of Early Learning (MSEL) longitudinally. Length- or height-for-age and OFC-for-age were calculated. We performed age-adjusted multivariable regression analyses to explore the association between 1) length or height and ND, 2) OFC and ND, and 3) both length or height and OFC combined, with ND; concurrently, predictively, and longitudinally, as continuous variables and using WHO z-score cutoffs. Continuous length- or height-for-age and OFC z-scores were more strongly associated with MSEL than the traditional -2 SD WHO cutoff. The combination of height-for-age z-score and OFC z-score was consistently, strongly associated with the MSEL Early Learning Composite concurrently (p-values 0.0004-0.11), predictively (p-value 0.001-0.07), with the exception of the 18-24 months age group which had very few records, and in the longitudinal model (p-value <0.0001-0.004). The combination of continuous length- or height-for-age and OFC shows additional utility in estimating ND risk in infants and young children. Measurement of OFC may improve precision of prediction of ND risk in infants and young children.
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Full text: 1 Database: MEDLINE Main subject: Child Development / Growth Disorders Type of study: Prognostic_studies Limits: Child / Child, preschool / Humans / Infant / Newborn Language: En Journal: J Dev Orig Health Dis Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Child Development / Growth Disorders Type of study: Prognostic_studies Limits: Child / Child, preschool / Humans / Infant / Newborn Language: En Journal: J Dev Orig Health Dis Year: 2023 Type: Article Affiliation country: United States