Summary
- Use WHO growth charts for children younger than 2 years and CDC growth charts for children 2 years and older, per CDC, NIH, and AAP recommendations [1,2].
- The 2026 AAP/NASPGHAN guideline replaces "failure to thrive" with "faltering weight" and defines it by z-score criteria rather than percentile cutoffs alone [3].
- Faltering weight: weight-for-length or BMI-for-age less than −1.65 z-score (5th percentile), weight gain velocity less than −2 z-score (2.3rd percentile) in children under 2 years, or a decline in weight, weight-for-length, or BMI ≥1 z-score [3].
- Preterm infants (extremely preterm <28 weeks, very preterm 28 to <32 weeks) require age correction through 36 months corrected age; chronologic age alone misclassifies up to 72.9% as stunted and 89.8% as underweight at term-equivalent age [4].
- Growth velocity, not a single percentile, is the more sensitive signal for pathology. Height deviating more than two major percentile lines is abnormal [5].
- Genetic syndromes (Down syndrome, Turner syndrome, achondroplasia) require condition-specific charts in parallel with standard charts [6-9].
Caution. Switching growth chart references mid-follow-up (WHO to CDC at age 2, or preterm to standard charts) produces an artifactual percentile or z-score shift that can look like a real growth problem in a child who is in fact stable [10].
WHO vs. CDC Growth Charts
| Chart |
Type |
Reference population |
Notes |
| WHO (2006) |
Growth standard (how children should grow) |
Infants from 6 countries, exclusively breastfed ≥4 months, predominantly breastfed through 12 months |
Use for age <2 years [1,2] |
| CDC (2000) |
Growth reference (how U.S. children actually grew) |
U.S. children, 1963-1994, mixed breastfed/formula-fed |
Use for age ≥2 years [1,2] |
Clinical implications of chart choice:
- First 3 months of life: WHO charts show faster expected weight gain than CDC charts, so more infants appear to be growing slowly on WHO charts.
- After approximately 3 months: formula-fed infants tend to gain weight faster and may cross upward on WHO percentiles, risking misclassification as overweight.
- Ages 6-23 months: WHO charts identify fewer U.S. children as having inadequate weight-for-age than CDC charts.
Using the wrong reference risks unnecessary workup for nonexistent pathology, or missed identification of a true growth problem.
When screening for abnormal growth on WHO charts, use ±2 SD (2.3rd and 97.7th percentiles) as thresholds, not the 5th and 95th percentiles [1,2].
Open the WHO Growth Calculator → Open the CDC Growth Calculator →
Caution. The abrupt WHO-to-CDC switch at age 2 years causes a clinically significant shift even in children with stable growth: mean BMI-for-age z-score drops by 0.59 at the transition, and 28.3% of children show a BMI z-score drop greater than 1.0. Gradual-transition charts, using a weighted average from ages 2 to 5 years, reduce this artifact [10].
Z-Scores vs. Percentiles
The 2026 AAP guideline recommends z-scores over percentiles [3]:
- Z-scores are the global standard for reporting nutritional status.
- Z-scores have no upper or lower bound, so measurements below the 1st percentile can be described precisely.
- A 1-point change in z-score reflects the same magnitude of change regardless of starting point, unlike percentiles.
- Z-scores allow population comparison and more precise tracking of treatment response.
A z-score of 0 corresponds to the 50th percentile. A z-score of −2 corresponds to the 2.3rd percentile.
Faltering Weight: Diagnostic Criteria
The 2026 AAP/NASPGHAN Clinical Practice Guideline defines faltering weight as any of the following [3]:
- Weight-for-length or BMI-for-age less than −1.65 z-score (5th percentile)
- In children younger than 2 years, weight gain velocity less than −2 z-score for age (2.3rd percentile)
- Decline in weight, weight-for-length, or BMI ≥1 z-score
Not all children meeting these criteria have undernutrition [3]:
- Children born large for gestational age commonly show early z-score declines as they regress toward genetic potential. This is physiologic.
- Children with genetic conditions may have a different intrinsic growth potential.
The guideline recommends against routine diagnostic testing in the initial workup of faltering weight in children without specific signs, symptoms, or findings prompting focal evaluation [3].
Growth Velocity
Growth velocity is often more informative than a single percentile measurement. Height deviating more than two major percentile lines relative to peers is abnormal [5].
Normal height velocity by age:
| Age |
Velocity |
| Birth to 12 months |
23-27 cm/year |
| 13-24 months |
10-14 cm/year |
| 25-36 months |
8 cm/year |
| 37-60 months |
7 cm/year |
| 61 months to puberty |
5-6 cm/year |
| Puberty (females) |
8-12 cm/year |
| Puberty (males) |
10-14 cm/year |
Measure every 3 to 6 months in children older than 6 months. Shorter intervals may be appropriate in younger children or specific clinical situations.
Open the Growth Velocity Calculator →
Clinical pearl. A child growing at a steady 5 cm/year and tracking the 10th percentile is a normal genetic variant. A child previously growing at 8 cm/year who decelerates to 3 cm/year is a significant finding, even while still at the 25th percentile. The deceleration is the red flag, not the percentile position.
Interpreting the pattern:
- Weight velocity declines with preserved height velocity: consider inadequate intake or malabsorption.
- Height velocity declines: consider systemic illness or an endocrine disorder.
Preterm Infants: Age Correction
Corrected age = Chronologic age − (40 weeks − Gestational age at birth)
A 2025 study of extremely (<28 weeks) and very (28 to <32 weeks) preterm infants found that using chronologic age instead of corrected age misclassified up to 72.9% as stunted and 89.8% as underweight at term-equivalent age. Age correction is required for all growth measures through 36 months corrected age in these groups [4].
Chart selection by postmenstrual/corrected age [11]:
| Age window |
Chart |
| Until 50 weeks postmenstrual age |
Fenton Preterm Growth Chart (updated 2025) |
| 50 weeks PMA to 24 months corrected age |
WHO growth charts, corrected age |
| After 24 months corrected age |
Standard charts |
The INTERGROWTH-21st Preterm Postnatal Growth Standards are an alternative. These curves overlap with the WHO Child Growth Standards by 64 weeks postmenstrual age (6 months corrected age), without requiring further adjustment [12,13].
Caution. Using chronologic instead of corrected age in an extremely or very preterm infant can generate a false impression of faltering weight for up to 36 months. Confirm which age is plotted before acting on a chart position.
Syndrome-Specific Growth Charts
Standard charts can incorrectly suggest pathology in children whose genetic condition confers a different growth potential. Use condition-specific charts alongside standard charts to catch a growth problem superimposed on the underlying condition.
| Condition |
Chart source |
Notes |
| Down syndrome |
Down Syndrome Growing Up Study (DSGS), 2015; 1,520 measurements, 637 U.S. participants [6] |
Marked improvement over older charts; 2026 Italian cohort found statistically significant differences in weight and BMI distribution versus U.S. charts, supporting Mediterranean-specific charts [7] |
| Turner syndrome |
Syndrome-specific charts |
Account for characteristic short stature and growth pattern |
| Achondroplasia |
AAP 2020 health supervision guidelines [8]; body-proportion charts (sitting height, arm span, leg length) [9] |
Height, weight, head circumference plus proportion measures |
| Prader-Willi, Noonan, cri du chat |
Condition-specific charts available |
Based on smaller data samples |
Open the Down Syndrome Growth Calculator → Open the Turner Syndrome Growth Calculator →
Percentile Crossing in Infancy
In the first 6-12 months, normal infants frequently cross percentiles while regressing toward genetic growth potential. Children born with anthropometric z-scores greater than 0 (>50th percentile) are more likely to show z-score declines during the first 2 years of life.
Clinical pearl. An infant born large due to maternal diabetes may track the 95th percentile at birth and settle to the 50th percentile by 6 months. This is physiologic and does not, by itself, meet faltering weight criteria.
Findings that warrant concern:
- Persistent downward crossing of percentiles
- Large percentile drops (e.g., 75th to 10th percentile in 3 months)
- Declining height velocity
- Weight-for-length or BMI z-score less than −1.65
- Decline in z-score ≥1.0
Midparental Height and Bone Age
Sex-adjusted midparental height:
- Boys: (Mother's height + Father's height + 13 cm) / 2
- Girls: (Mother's height + Father's height − 13 cm) / 2 [5,14]
Compare the child's predicted adult height (projected from the current growth curve percentile) with midparental height to help distinguish normal variants from pathologic stature [5,14].
Bone age versus chronologic age [5,14]:
| Finding |
Suggests |
| Bone age delayed >2 SD |
Constitutional delay of growth and puberty, hypothyroidism, growth hormone deficiency, chronic illness |
| Bone age advanced >2 SD |
Precocious puberty, hyperthyroidism, obesity |
| Bone age = chronologic age, short stature |
Familial short stature or genetic syndrome |
Management
- Select the appropriate chart: WHO for children under 2 years, CDC for 2 years and older, Fenton for preterm infants, syndrome-specific charts for genetic conditions [1,2,6,8,11].
- Use z-scores for precise assessment, particularly at the extremes of the growth curve or when tracking treatment response [3].
- Correct for prematurity through at least 24 months corrected age; extend to 36 months for extremely and very preterm infants [4].
- Track growth velocity with measurements every 3-6 months in children older than 6 months [5].
- Calculate midparental height to establish genetic growth potential and compare with predicted adult height [5,14].
- Recognize physiologic percentile crossing in
References
- Grummer-Strawn LM, Reinold C, Krebs NF. Use of World Health Organization and CDC growth charts for children aged 0-59 months in the United States. CDC (2010).
- Grummer-Strawn LM, Reinold C, Krebs NF. Use of World Health Organization and CDC Growth Charts for Children Aged 0-59 Months in the United States. MMWR Recomm Rep. 2010;59(RR-9):1-15.
- Kersten HB, Goday PS, Abdelhadi R, et al. Clinical Practice Guideline for Diagnosis and Management of Faltering Weight. Pediatrics. 2026;e2025075764.
- Elmrayed S, Dai S, Lodha A, Kumar M, Fenton TR. Preterm Growth Assessment: The Latest Findings on Age Correction. J Perinatol. 2025;45(5):607-615.
- Caro R, Savel P, Moss PI. Evaluation of Short and Tall Stature in Children. Am Fam Physician. 2025;111(6):532-542.
- Zemel BS, Pipan M, Stallings VA, et al. Growth Charts for Children With Down Syndrome in the United States. Pediatrics. 2015;136(5):e1204-1211.
- Cattoni A, Molinari S, Cali L, et al. TRISOMY 21: Development of Syndrome-Specific Growth Charts From a Wide Italian Cohort and Validation of BMI as a Predictor of Increased Risk of Metabolic Derangement. J Endocrinol Invest. 2026;49(4):931-946.
- Hoover-Fong J, Scott CI, Jones MC. Health Supervision for People With Achondroplasia. Pediatrics. 2020;145(6):e20201010.
- Neumeyer L, Merker A, Hagenas L. Clinical Charts for Surveillance of Growth and Body Proportion Development in Achondroplasia and Examples of Their Use. Am J Med Genet A. 2021;185(2):401-412.
- Daymont C, Hwang W, Paul IM, Shur N, Freedman DS. Creation and Evaluation of New Growth Charts With a Gradual Transition From WHO to CDC Values. Pediatrics. 2025;e2025070697.
- Bybel M, Delaney CA, Coble K. Outpatient Care of the Premature Infant. Am Fam Physician. 2025;112(2):153-161.
- Villar J, Giuliani F, Barros F, et al. Monitoring the Postnatal Growth of Preterm Infants: A Paradigm Change. Pediatrics. 2018;141(2):e20172467.
- Villar J, Giuliani F, Bhutta ZA, et al. Postnatal Growth Standards for Preterm Infants: The Preterm Postnatal Follow-Up Study of the INTERGROWTH-21st Project. Lancet Glob Health. 2015;3(11):e681-691.
- Allen DB, Cuttler L. Short Stature in Childhood - Challenges and Choices. N Engl J Med. 2013;368(13):1220-1228.