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Racial/ethnic standards for fetal growth: the NICHD Fetal Growth Studies
Open accessAbstract
Objective Fetal growth is associated with long-term health yet no appropriate standards exist for the early identification of under- or over-grown fetuses. We sought to develop contemporary fetal growth standards for four self-identified U.S. racial/ethnic groups. Study Design We recruited for prospective follow-up 2,334 healthy women with low-risk, singleton pregnancies from 12 community and perinatal centers between July 2009 and January 2013. The cohort comprised: 614 (26%) non-Hispanic Whites, 611 (26%) non-Hispanic Blacks, 649 (28%) Hispanics, and 460 (20%) Asians. Women were screened at 8w0d to 13w6d for maternal health status associated with presumably normal fetal growth (aged 18–40 years; body mass index 19.0–29.9 kg/m2; healthy lifestyles and living conditions; low-risk medical and obstetrical history); 92% of recruited women completed the protocol. Women were randomized among four ultrasonology schedules for longitudinal fetal measurement using the Voluson E8 GE Healthcare. In-person interviews and anthropometric assessments were conducted at each visit; medical records were abstracted. The fetuses of 1,737 (74%) women continued to be low-risk (uncomplicated pregnancy, absent anomalies) at birth, and their measurements were included in the standards. Racial/ethnic-specific fetal growth curves were estimated using linear mixed models with cubic splines. Estimated fetal weight and biometric parameter percentiles (5th, 50th, 95th) were determined for each gestational week and comparisons made by race/ethnicity, with and without adjustment for maternal and socio-demographic factors. Results Estimated fetal weight differed significantly by race/ethnicity after 20 weeks. Specifically at 39 weeks, the 5th, 50th, and 95th percentiles were 2790, 3505, and 4402 grams for White, 2633, 3336, and 4226 grams for Hispanic, 2621, 3270, and 4078 grams for Asian, and 2622, 3260, and 4053 grams for Black women (adjusted global p<0.001). For individual parameters, racial/ethnic differences by order of detection were: humerus and femur lengths (10 weeks), abdominal circumference (16 weeks), head circumference (21 weeks), and biparietal diameter (27 weeks). The study-derived standard based solely on the White group erroneously classifies as much as 15% of non-White fetuses as growth-restricted (estimated fetal weight < 5th percentile). Conclusions Significant differences in fetal growth were found among the four groups. Racial/ethnic-specific standards improve the precision in evaluating fetal growth.
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Cites
Sterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ · doi:10.1136/bmj.b2393 · Cited by 7,299 · cited 4×
“Education <High school 4 (1) 47 (11) 108 (22) 18 (5) High school/GED 22 (5) 122 (29) 114 (23) 40 (12) Some college/associate degree 88 (18) 153 (36) 181 (37) 67 (20) College undergraduate 203 (42) 66 (16) 67 (14) 106 (31) Postgraduate college 164 (34) 38 (9) 18 (4) 111 (33)”
InfluentialA New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202
Estimation of fetal weight with the use of head, body, and femur measurements—A prospective study
Hadlock, F. P., Harrist, R. B., Sharman, R. S., Deter, R. L., & Park, S. K. (1985) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(85)90298-4 · Cited by 2,682 · cited 1×
“Education <High school 4 (1) 47 (11) 108 (22) 18 (5) High school/GED 22 (5) 122 (29) 114 (23) 40 (12) Some college/associate degree 88 (18) 153 (36) 181 (37) 67 (20) College undergraduate 203 (42) 66 (16) 67 (14) 106 (31) Postgraduate college 164 (34) 38 (9) 18 (4) 111 (33)”
A united states national reference for fetal growth
Alexander, G. M., Himes, J. H., Kaufman, R. H., Mor, J. M., & Kogan, M. D. (1996) · Obstetrics and Gynecology · doi:10.1016/0029-7844(95)00386-x · Cited by 2,294 · cited 4×
“Native born United States Yes 446 (93) 388 (91) 221 (45) 92 (27) No 35 (7) 38 (9) 267 (55) 250 (73)”
InfluentialRegression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling
Royston, P. J., & Altman, D. G. (1994) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2986270 · Cited by 1,797
Early Developmental Conditioning of Later Health and Disease: Physiology or Pathophysiology?
Hanson, M. A., & Gluckman, P. D. (2014) · Physiological Reviews · doi:10.1152/physrev.00029.2013 · Cited by 1,188 · cited 2×
“6] 139 (29) 158 (37) 125 (26) 44 (13) Mean ( SD) 63.”
LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression
Cleveland, W. S. (1981) · The American Statistician · doi:10.2307/2683591 · Cited by 1,188 · cited 2×
“6] 80 (17) 67 (16) 117 (24) 164 (48) Quartile 2 [56.”
Anthropometric measurement error and the assessment of nutritional status
Ulijaszek, S. J., & Kerr, D. A. (1999) · British Journal Of Nutrition · doi:10.1017/s0007114599001348 · Cited by 1,159 · cited 4×
“0) 231 (48) 153 (36) 85 (17) 65 (19) Mean ( SD) 165.”
InfluentialPapageorghiou, A. T., Ohuma, E. O., Altman, D. G., Todros, T., Ismail, L. C., Lambert, A., Jaffer, Y. A., Bertino, E., Gravett, M. G., Purwar, M., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61490-2 · Cited by 870 · cited 1×
“Education <High school 4 (1) 47 (11) 108 (22) 18 (5) High school/GED 22 (5) 122 (29) 114 (23) 40 (12) Some college/associate degree 88 (18) 153 (36) 181 (37) 67 (20) College undergraduate 203 (42) 66 (16) 67 (14) 106 (31) Postgraduate college 164 (34) 38 (9) 18 (4) 111 (33)”
Villar, J., Papageorghiou, A. T., Pang, R., Ohuma, E. O., Ismail, L. C., Barros, F. C., Lambert, A. W., Carvalho, M., Jaffer, Y. A., Bertino, E., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70121-4 · Cited by 371 · cited 3×
“9] 152 (32) 118 (28) 143 (29) 56 (16) Quartile 4 [71.”
Flagged first, then by citations
4 of the 41 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Humes, 2010, Overview of Race and Hispanic Origin:
Cited by
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Items 101–200 of 531
Mozooni, M., Pennell, C. E., & Preen, D. B. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003061 · Cited by 27
Hinkle, S. N., Zhang, C., Grantz, K. L., Sciscione, A. C., Wing, D. A., Grobman, W. A., Newman, R., D’Alton, M. E., Skupski, D. W., Nageotte, M. P., et al. (2020) · Current Developments in Nutrition · doi:10.1093/cdn/nzaa182 · Cited by 28
“Women were enrolled at 8–13 wk of gestation and followed through delivery, and randomly assigned to 1 of 4 obstetrical ultrasound schedules for measuring fetal growth consistent with the study’s original aim to create a US fetal growth standard (17).”
MethodInfluentialSelf-citationAre COVID-19 mitigation measures reducing preterm birth rate in China?
Bian, Z., Qu, X., Ying, H., & Liu, X. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2021-006359 · Cited by 28
Hunt, K. J., Ferguson, P. L., Neelon, B., Commodore, S., Bloom, M. S., SCISCIONE, A. C., Grobman, W. A., Kominiarek, M. A., Newman, R., Tita, A., et al. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12911 · Cited by 28
“Primary aims of the NICHD Fetal Growth Studies were to develop foetal growth standards in a diverse population, thus enrollment was restricted to women without concurrent medical conditions, complicated obstetrical histories or obesity (n = 2334).(28) Secondary aims were to examine the aetiology of gestational diabete…”
BackgroundSelf-citationValidation of Self-reported Diagnosis of Gestational Diabetes at 6-weeks Postpartum
Hinkle, S. N., Rawal, S., Zhu, Y., Grewal, J., Albert, P. S., & Zhang, C. (2017) · Epidemiology · doi:10.1097/ede.0000000000000695 · Cited by 28
Self-citationSchaeffer, L. E., Ahmed, S., Rahman, M., Whelan, R., Rahman, S., Roy, A. D., Nijhum, T. A., Bably, N. N., D’Couto, H. T., Hudelson, C. E., et al. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0835-7 · Cited by 27
“SGA determination requires a weight-for-age percentile calculation or standard chart reference [5, 6].”
MethodMonier, I., Ego, A., Benachi, A., Hocquette, A., Blondel, B., Goffinet, F., & Zeitlin, J. A. (2021) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.17021 · Cited by 27
Hua, X., Shen, M., Reddy, U. M., Louis, G. M. B., Souza, J. P., Gülmezoglu, A. M., & Zhang, J. (2018) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.12637 · Cited by 26
“Women were excluded if they had: (1) a history of stillbirth; (2) a prior small- for- gestationalage neonate; (3) irregular menstrual cycles; (4) a discrepancy between uterine size and pregnancy duration that exceeded 3 weeks; (5) diabetes mellitus; (6) chronic hypertension; or (7) chronic renal disease.”
BackgroundMethodFetal growth and gestational age prediction by machine learning
Ananth, C. V., & Brandt, J. S. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30143-6 · Cited by 26
Hinkle, S. N., Li, M., Grewal, J., Yisahak, S. F., Grobman, W. A., Newman, R., Wing, D. A., Grantz, K. L., & Zhang, C. (2021) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2021.04.014 · Cited by 26
Self-citationGrantz, K. L. (2021) · Obstetrics and Gynecology Clinics of North America · doi:10.1016/j.ogc.2021.02.003 · Cited by 28
Self-citationLiauw, J., Mayer, C., Albert, A., Fernandez, A., & Hutcheon, J. A. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-04324-0 · Cited by 25
“We did not assess centiles on the recent Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) chart [4] or other customized charts [20] since we had no information on race/ethnicity and our population has a high proportion of mixed-ethnicity unions [21], which creates pragmatic chall…”
MethodImpact of ethnicity on adverse perinatal outcome in women with chronic hypertension: a cohort study
Webster, L., Bramham, K., Seed, P. T., Homsy, M., Widdows, K. L., Webb, A. J., Nelson‐Piercy, C., Magee, L. A., Thilaganathan, B., Myers, J., et al. (2018) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.20132 · Cited by 25
“2 Nulliparous 2112 (47) 1210 (57) 553 (35) 135 (36) Smoker 312 (7) 209 (10) 71 (4) 11 (3) Deprivation index† Group 1 350 (8) 288 (14) 21 (1) 19 (5) Group 2 462 (10) 339 (16) 54 (3) 36 (10) Group 3 953 (21) 522 (25) 242 (15) 98 (26) Group 4 1403 (31) 575 (27) 574 (36) 123 (32) Group 5 1313 (29) 398 (19) 710 (44) 103 (2…”
Insaf, T., & Talbot, T. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.03.019 · Cited by 24
Morisaki, N., Kawachi, I. I., Oken, E., & Fujiwara, T. (2016) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12308 · Cited by 25
Maternal cardiometabolic factors and genetic ancestry influence epigenetic aging of the placenta
Workalemahu, T., Shrestha, D., Tajuddin, S. M., & Ayele, F. T. (2020) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174419000801 · Cited by 28
Assessment of Caffeine Consumption and Maternal Cardiometabolic Pregnancy Complications
Hinkle, S. N., Gleason, J. L., Yisahak, S. F., Zhao, S. K., Mumford, S. L., Sundaram, R., Grewal, J., Grantz, K. L., & Zhang, C. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.33401 · Cited by 25
Self-citationRe-evaluating the role of cerebroplacental ratio in predicting adverse perinatal outcome
Moreta, D., Vo, S., Eslick, G. D., & Benzie, R. J. (2019) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2019.06.033 · Cited by 25
On the study of fetal growth restriction: time to abandon SGA
Wilcox, A. J., Snowden, J. M., Ferguson, K. K., Hutcheon, J. A., & Basso, O. (2024) · European Journal of Epidemiology · doi:10.1007/s10654-024-01098-5 · Cited by 24
“Others hold that growth standards in utero or at birth should be adjusted for population characteristics such as parity, ethnicity, and maternal height [20].”
Henriksson, P., Sandborg, J., Söderström, E., Leppänen, M. H., Snekkenes, V., Blomberg, M. I., Ortega, F. B., & Löf, M. (2021) · Nutrition and Diabetes · doi:10.1038/s41387-021-00158-z · Cited by 24
Genetic andin uteroenvironmental contributions to DNA methylation variation in placenta
Chatterjee, S., Ouidir, M., & Ayele, F. T. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab161 · Cited by 25
Zou, J., Wei, Q., Shi, Y., Wang, K., Zhang, Y., & Shi, H. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.6407 · Cited by 27
Thyroid autoimmunity and adverse pregnancy outcomes: A multiple center retrospective study
Xu, Y., Chen, H., Ren, M., Gao, Y., Sun, K., Wu, H., Ding, R., Wang, J., Li, Z., Liu, D., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1081851 · Cited by 25
Tran, L. T., Hang, L. T. M., Koriyama, C., Uwatoko, F., & Akiba, S. (2017) · BMC Cancer · doi:10.1186/s12885-017-3681-y · Cited by 24
“BW and GA are known to be closely related to each other [17].”
BackgroundHeude, B., Guern, M. L., Forhan, A., Scherdel, P., Kadawathagedara, M., Dufourg, M., Bois, C., Cheminat, M., Goffinet, F., Botton, J., et al. (2018) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12526 · Cited by 23
Paulsen, C. B., Nielsen, B. B., Msemo, O. A., Møller, S. L., Ekmann, J. R., Theander, T. G., Bygbjerg, I. C., Lusingu, J., Minja, D. T. R., & Schmiegelow, C. (2019) · BMC Pediatrics · doi:10.1186/s12887-019-1500-0 · Cited by 23
Mitro, S. D., Peddada, S., Chen, Z., Louis, G. M. B., Gleason, J. L., Zhang, C., & Grantz, K. L. (2022) · Fertility and Sterility · doi:10.1016/j.fertnstert.2022.06.028 · Cited by 23
Self-citationA New Approach for Classifying Fetal Growth Restriction
Hutcheon, J. A., Riddell, C. A., & Himes, K. P. (2021) · Epidemiology · doi:10.1097/ede.0000000000001399 · Cited by 22
Mitro, S. D., Peddada, S., Gleason, J. L., HE, D., Whitcomb, B. W., Russo, L. M., Grewal, J., Zhang, C., Yisahak, S. F., Hinkle, S. N., et al. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002947 · Cited by 22
Self-citationPrenatal screening for microcephaly: an update after three decades
Gelber, S. E., Grünebaum, A., & Chervenak, F. A. (2016) · Journal of Perinatal Medicine · doi:10.1515/jpm-2016-0220 · Cited by 22
Neonatal outcomes following exposure in utero to fallout from Chernobyl
HATCH, M. C., Little, M. P., Brenner, A. V., Cahoon, E. K., Tereshchenko, V. P., Chaikovska, L., Pasteur, I. P., Likhtarov, I., Bouville, A. C., Shpak, V., et al. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0299-y · Cited by 22
Self-citationCurrent use and performance of the different fetal growth charts in the Italian population
Stampalija, T., Ghi, T., Rosolen, V., Rizzo, G., Ferrazzi, E. M., Prefumo, F., Dall’Asta, A., Quadrifoglio, M., Todros, T., & Frusca, T. (2020) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2020.06.059 · Cited by 21
“Overall, these data suggest that there might be differences linked to ethnic origin and not fully explained by maternal, socioeconomic or other methodological factors [2] as already suggested by the NICHD [30] and WHO [8] groups.”
BackgroundHaimbaugh, A., Meyer, D. N., Connell, M. L., Blount-Pacheco, J., Tolofari, D., Gonzalez, G., Banerjee, D., Norton, J., Miller, C. J., & Baker, T. R. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21121615 · Cited by 21
“Time between appointments was 4–8 weeks [207].”
Perinatal determinants of growth trajectories in children born preterm
Jasper, E. A., Cho, H., Breheny, P. J., Bao, W., Dagle, J. M., & Ryckman, K. K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245387 · Cited by 21
Sex-specific placental gene expression signatures of small for gestational age at birth
Chatterjee, S., Zeng, X., Ouidir, M., Tesfaye, M., Zhang, C., & Ayele, F. T. (2022) · Placenta · doi:10.1016/j.placenta.2022.03.004 · Cited by 21
Self-citationLi, X., Ma, J., Cheng, Y., Feng, L., Wang, S., & Dong, G. (2023) · Environmental Research · doi:10.1016/j.envres.2023.116412 · Cited by 21
Martin, L. J., Sjörs, G., Reichman, B. L., Darlow, B. A., Morisaki, N., Modi, N., Bassler, D., Mirea, L., Adams, M., Kusuda, S., et al. (2016) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12298 · Cited by 21
Lappen, J. R., & Myers, S. A. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.02.013 · Cited by 21
Accuracy of sonographic fetal weight estimation prior to delivery in a Chinese han population
Shen, Y., Zhao, W., Lin, J., & Liu, F. (2017) · Journal of Clinical Ultrasound · doi:10.1002/jcu.22463 · Cited by 21
“We used the racial/ethnic specific growth curve published by a recent study of the National Institute of Child Health and Human Development.(3) The newborn sex was recorded after birth.”
BackgroundMethodInfluentialBoghossian, N. S., Geraci, M., Edwards, E. M., & Horbar, J. D. (2018) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2018.05.002 · Cited by 21
Song, C., Xu, Y. C., Ding, Y., Zhang, Y., Liu, N., Li, L., Li, Z., Du, J., You, H., Ma, H., et al. (2021) · BMC Medicine · doi:10.1186/s12916-020-01890-6 · Cited by 21
“Studies have concluded that morbidity and mortality increased significantly in the fetal macrosomia weighing 4500 g or greater [34, 35].”
BackgroundBommarito, P. A., Stevens, D. R., Welch, B. M., Ospina, M., Calafat, A. M., Meeker, J. D., Cantonwine, D. E., McElrath, T. F., & Ferguson, K. K. (2024) · Environmental Health Perspectives · doi:10.1289/ehp14647 · Cited by 20
“43,44 We fi t three spline knots at the 25th, 50th, and 75th percentiles to equally split the gestational age distribution, corresponding to the 20th, 28th, and 34th wk of gestation.”
Metallinou, D., Karampas, G., Nyktari, G., Iacovidou, N. M., Lykeridou, A., & Rizos, D. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.09.013 · Cited by 20
New onset of restless legs syndrome in pregnancy in a prospective multiracial cohort
Na, M., Wu, J., Li, M., Hinkle, S. N., Zhang, C., & Gao, X. (2020) · Neurology · doi:10.1212/wnl.0000000000011082 · Cited by 20
Self-citationGardosi, J. O., & Hugh, O. (2023) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2023.05.026 · Cited by 20
Placental accelerated aging in antenatal depression
Saeed, H., Wu, J., Tesfaye, M., Grantz, K. L., & Ayele, F. T. (2023) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2023.101237 · Cited by 20
Self-citationEze, C. U., Onu, I. U., Adeyomoye, A., & Upeh, E. R. (2020) · Journal of Ultrasound · doi:10.1007/s40477-020-00448-9 · Cited by 19
Lindström, L., Ageheim, M., Axelssön, O., Hussain‐Alkhateeb, L., Skalkidou, A., & Bergman, E. (2020) · Scientific Reports · doi:10.1038/s41598-020-79797-8 · Cited by 19
Wan, Y., Chen, Y., Wu, X., Yin, A., Tian, F., Zhang, H., Huang, X., Wu, L., & Niu, J. (2023) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-023-05716-0 · Cited by 19
“Those with birthweights above the 90th percentile were classified as LGA, and their birth weights below the 10th percentile were defined as SGA, based on gestational age birthweights from NICHD [25].”
MethodEffects of applying universal fetal growth standards in a Scandinavian multi‐ethnic population
Sletner, L., Kiserud, T., Vangen, S., Nakstad, B., & Jenum, A. K. (2017) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.13269 · Cited by 19
“In contrast, South Asian women fulfilling the IG-21 criteria had a lower and European women a similar prevalence of gestational diabetes to women not fulfilling the criteria.”
BackgroundInfluentialPugh, S., Ortega‐Villa, A. M., Grobman, W. A., Newman, R., Owen, J., Wing, D. A., Albert, P., & Grantz, K. L. (2018) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.15179 · Cited by 19
Self-citationAdverse birth outcomes and their clinical phenotypes in an urban Zambian cohort
Price, J. T., Vwalika, B., Rittenhouse, K., Mwape, H., Winston, J., Freeman, B. L., Sindano, N., Stringer, E. M., Kasaro, M. P., Chi, B. H., et al. (2019) · Gates Open Research · doi:10.12688/gatesopenres.13046.2 · Cited by 20
Ayele, F. T., Zhang, C., Wu, J., Grantz, K. L., Rahman, M. L., Shrestha, D., Ouidir, M., Workalemahu, T., & Tsai, M. Y. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008747 · Cited by 21
“It is increasingly understood that fetal growth trajectories are nonlinear, and the growth patterns vary by gestation time [9, 10].”
BackgroundMethodSelf-citationStillbirth at term: Does size really matter?
Coutinho, C. M., Melchiorre, K., & Thilaganathan, B. (2020) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.13229 · Cited by 19
Identification of the optimal growth chart and threshold for the prediction of antepartum stillbirth
Hiersch, L., Lipworth, H., Kingdom, J. C., Barrett, J. F. R., & Melamed, N. (2020) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-020-05747-4 · Cited by 18
Zhao, S. K., Yeung, E. H., Ouidir, M., Hinkle, S. N., Grantz, K. L., Mitro, S. D., Wu, J., Stevens, D. R., Chatterjee, S., Ayele, F. T., et al. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac111 · Cited by 176
Self-citationBloom, M. S., Valachovic, E. L., Begum, T. F., Kucklick, J. R., Brock, J. W., Wenzel, A. G., Wineland, R. J., Cruze, L., Unal, E. R., & Newman, R. (2021) · Environmental Research · doi:10.1016/j.envres.2021.110763 · Cited by 18
Self-citationLi, X., & Yang, H. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-04466-9 · Cited by 18
Evaluating the Growth Assessment Protocol for stillbirth prevention: progress and challenges
Butler, E., Hugh, O., & Gardosi, J. O. (2022) · Journal of Perinatal Medicine · doi:10.1515/jpm-2022-0209 · Cited by 17
Groth, S. W., Holland, M. L., Smith, J. A. V. D. L., Meng, Y., & Kitzman, H. J. (2017) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.05.005 · Cited by 18
Clarification of estimating fetal weight between 10-14 weeks gestation, NICHD fetal growth studies
Louis, G. M. B., & Grewal, J. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.03.030 · Cited by 18
“TO THE EDITORS: We recently discovered an aspect of our paper entitled “Racial/ethnic differences in fetal growth, the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies” that we want to bring to readers’ attention but one that does not change the results or interpreta…”
BackgroundSelf-citationSaw, S. N., Biswas, A., Mattar, C. N. Z., Lee, H. K., & Yap, C. H. (2021) · Prenatal Diagnosis · doi:10.1002/pd.5903 · Cited by 18
Is the Biphasic Effect of Diabetes and Obesity on Fetal Growth a Risk Factor for Childhood Obesity?
van Poppel, M. N. M., Damm, P., Mathiesen, E. R., Ringholm, L., Zhang, C., & Desoyé, G. (2023) · Diabetes Care · doi:10.2337/dc22-2409 · Cited by 19
Self-citationFetal Growth Patterns in Pregnancies With First-Trimester Bleeding
Bever, A. M., Pugh, S. J., Kim, S., Newman, R., Grobman, W. A., Chien, E. K., Wing, D. A., Li, H., Albert, P. S., & Grantz, K. L. (2018) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000002616 · Cited by 17
Self-citationKarahanoğlu, E., Akpınar, F., Demirdağ, E., Yerebasmaz, N., Ensarı, T. A., Akyol, A., Işık, D. U., & Yalvaç, S. (2016) · Journal of obstetrics and gynaecology research · doi:10.1111/jog.13024 · Cited by 17
“When we compared the birthweight of isolated oligohydramnios infants with the general birthweight percentiles that were recently published, the oligohydramnios group had a higher birthweight.(16,17) This may be a result of excluding SGA fetuses from the study.”
ResultMaternal stress and neonatal anthropometry: the NICHD Fetal Growth Studies
Wing, D. A., Ortega‐Villa, A. M., Grobman, W. A., Hediger, M. L., Grewal, J., Pugh, S. J., Kim, S., Newman, R., Chien, E. K., Owen, J., et al. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.02.039 · Cited by 17
“Full details of the protocol and study methods have been published previously.(16) Human subjects’ approval was obtained from all participating sites before initiation of the study, and all women gave informed consent before enrollment and data collection.”
MethodSelf-citationShould Fetal Growth Charts Be References or Standards?
Hutcheon, J. A., & Liauw, J. (2020) · Epidemiology · doi:10.1097/ede.0000000000001275 · Cited by 17
Lin, Y., Hu, P., Li, H., Luo, C., Liang, D., & Xu, Z. (2022) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.17245 · Cited by 16
Beck, C., Blue, N. R., Silver, R. M., Na, M., Grobman, W. A., Steller, J. G., Parry, S. I., Scifres, C., & Gernand, A. D. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.11.018 · Cited by 16
Self-citationKwiatkowski, S., Torbè, A., Borowski, D., Bręborowicz, G. H., Czajkowski, K., Huras, H. K., Kajdy, A., Kalinka, J., Kosińska–Kaczyńska, K., Leszczyńska‐Gorzelak, B., et al. (2020) · Ginekologia Polska · doi:10.5603/gp.2020.0158 · Cited by 16
“Przy ocenianiu masy płodu powinno się wykorzystywać populacyjne siatki centylowe [20].”
BackgroundAIUM Practice Parameter for the Performance of Standard Diagnostic Obstetric Ultrasound
(2024) · Journal of Ultrasound in Medicine · doi:10.1002/jum.16406 · Cited by 19
Do We Need Another Set of Growth Charts for Premature Infants?
Clark, R. H., & Olsen, I. E. (2016) · PEDIATRICS · doi:10.1542/peds.2016-3128 · Cited by 15
High burden of birthweight-lowering genetic variants in Africans and Asians
Ayele, F. T., Workalemahu, T., & Amare, A. T. (2018) · BMC Medicine · doi:10.1186/s12916-018-1061-3 · Cited by 15
“There is growing interest in understanding the roles of gene–environment interactions in population differences in fetal growth following two recent studies led by the World Health Organization (WHO) [7] and the National Institute of Child Health and Human Development (NICHD) at the National Institutes of Health (NIH)…”
BackgroundResultInfluentialAyele, F. T., Ouidir, M., Shrestha, D., Workalemahu, T., Rahman, M. L., Mendola, P., Grantz, K. L., Hinkle, S. N., Wu, J., & Zhang, C. (2021) · Human Genetics · doi:10.1007/s00439-021-02265-4 · Cited by 15
Self-citationMonier, I., Ego, A., Benachi, A., Hocquette, A., Blondel, B., Goffinet, F., & Zeitlin, J. A. (2021) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2021.100527 · Cited by 15
Hinkle, S., Hediger, M., Kim, S., Albert, P. S., Grobman, W., Newman, R., Wing, D., Grewal, J., Zhang, C.-L., Louis, G. B. B., et al. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.158873 · Cited by 15
“Fetal measurements were obtained according to a standardized ultrasound protocol (11, 14).”
MethodSelf-citationZhang, L., Lin, J., Liang, S., Sun, J. H., Gao, N., Wu, Q., Zhang, H., Liu, H.-J., Cheng, X., Cao, Y. Y., et al. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.595882 · Cited by 14
Song, Y., Lu, R., Yu, G., Rahman, M. L., Chen, L., Zhu, Y., Tsai, M. Y., Fiehn, O., Chen, Z., & Zhang, C. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104881 · Cited by 14
Self-citationA New Approach to Developing Birth Weight Reference Charts: A Retrospective Observational Study
Joseph, F. A., Hyett, J. A., McGeechan, K., Schlüter, P. J., Gordon, A., McLennan, A., & de Vries, B. S. (2017) · Fetal Diagnosis and Therapy · doi:10.1159/000475662 · Cited by 14
Fetal weight estimation by ultrasound: development of Indian population-based models
Hiwale, S. S., Misra, H., & Ulman, S. (2018) · ULTRASONOGRAPHY · doi:10.14366/usg.18004 · Cited by 14
“Furthermore, studies have also pointed out that the use of racial/ethnic-specific standards improves the precision of fetal growth monitoring [6].”
BackgroundCaradeux, J., Eixarch, E., Mazarico, E., Basuki, T. R., Gratacós, E., & Figueras, F. (2017) · Fetal Diagnosis and Therapy · doi:10.1159/000477460 · Cited by 14
Günay, T., Bılır, R. A., Hocaoğlu, M., Bör, E. D., Özdamar, Ö., & Turgut, A. (2020) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.13469 · Cited by 13
Verspyck, É., Gascoin-Lachambre, G., Senat, M. V., Ego, A., Simon, L., Guellec, I., Monier, I., Zeitlin, J. A., Subtil, D., & Vayssière, C. (2022) · Gynécologie Obstétrique Fertilité & Sénologie · doi:10.1016/j.gofs.2022.06.008 · Cited by 13
Ultrasound prediction of Zika virus-associated congenital injury using the profile of fetal growth
Walker, C. L., Ehinger, N. J., Mason, B., Oler, E., Little, M.-T. E., Ohuma, E. O., Papageorghiou, A. T., Nayeri, U. A., Curry, C. L., & Waldorf, K. M. A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233023 · Cited by 13
“[27] Therefore, we applied the International Fetal and Newborn Growth Consortium for the 21 Century (INTERGROWTH-21) standards, which was a multi-ethnic study of more than 13,000 pregnancies in 18 countries with which we could calculate HC: FL ratio Z-scores.”
MethodYusuf, K. K., Dongarwar, D., Agili, D. E. A., Maiyegun, S. O., & Salihu, H. M. (2021) · Annals of Epidemiology · doi:10.1016/j.annepidem.2021.07.004 · Cited by 13
Available Evidence of Association between Zika Virus and Microcephaly
Wu, J., Huang, D., Ma, J.-T., Ma, Y.-H., & Hu, Y. (2016) · Chinese Medical Journal · doi:10.4103/0366-6999.190672 · Cited by 13
“[18] Microcephaly is a rare condition defined as a smaller head size, compared to other fetuses/babies of the same age/sex/ethnicity,[19] often with prognosis of intellectual disabilities.”
BackgroundComparison of fetal growth by maternal prenatal acetaminophen use
Smarr, M. M., Bible, J., Gerlanc, N., Louis, G. M. B., Bever, A. M., & Grantz, K. L. (2019) · Pediatric Research · doi:10.1038/s41390-019-0379-7 · Cited by 13
Self-citationPrediction of Large‐for‐Gestational‐Age Neonates by Different Growth Standards
Duncan, J. R., Odibo, L., Hoover, E. A., & Odibo, A. O. (2020) · Journal of Ultrasound in Medicine · doi:10.1002/jum.15470 · Cited by 13
“One of the newer fetal growth charts, the NICHD ethnic/race specific fetal growth standard, was developed to improve the diagnostic accuracy of fetal growth disorders.(13) Another promising growth chart is the Fetal Medicine Foundation (FMF) fetal and neonatal growth chart that was created with the aim to develop a si…”
MethodIshiyama, A., Jang, H., Dintaman, J. M., Duess, J. W., Tragesser, C. J., & Sodhi, C. P. (2025) · Biomedicines · doi:10.3390/biomedicines13092288 · Cited by 17
Erken ve geç başlangıçlı intrauterin gelişme geriliğinin perinatal sonuçları
ALİYEVA, G., & Sucu, M. (2020) · Çukurova medical journal (Online)/Çukurova medical journal · doi:10.17826/cumj.839861 · Cited by 12
“0,155 Sekelli taburcu veya zaman içinde oluşan sekel 1(1,3) 2(5,4) 3(4,8) 4(2,7)”
InfluentialBadr, D. A., Cannie, M., Kadji, C., Kang, X., Carlin, A., & Jani, J. C. (2023) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2023.10.011 · Cited by 12
Longitudinal changes in maternal anthropometry in relation to neonatal anthropometry
Pugh, S. J., Ortega‐Villa, A. M., Grobman, W. A., Hinkle, S. N., Newman, R., Hediger, M. L., Grewal, J., Wing, D. A., Albert, P. S., & Grantz, K. L. (2019) · Public Health Nutrition · doi:10.1017/s1368980018003749 · Cited by 12
“Additional exclusion criteria included smoking, pre-gestational diabetes, chronic renal disease under medical supervision, autoimmune disease, psychiatric disorders, cancer and HIV/ AIDS((16,17)).”
BackgroundMethodSelf-citationThe Association between Infant Birth Weight, Head Circumference, and Neurodevelopmental Outcomes
Costantine, M. M., Tita, A., Mele, L., Casey, B. M., Peaceman, A. M., Varner, M. W., Reddy, U. M., Wapner, R. J., Thorp, J. M., Saade, G. R., et al. (2023) · American Journal of Perinatology · doi:10.1055/s-0043-1761920 · Cited by 12
Self-citationMaternal Depressive Symptoms, Perceived Stress, and Fetal Growth
Grobman, W. A., Wing, D. A., Albert, P. S., Kim, S., Grewal, J., Guille, C., Newman, R., Chien, E. K., Owen, J., D’Alton, M. E., et al. (2017) · Journal of Ultrasound in Medicine · doi:10.7863/ultra.16.08085 · Cited by 12
“Full details of the protocol and study methods have been published previously.(6) In summary, women were eligible for the study if they were at low risk of obstetric or medical complications.”
MethodSelf-citationCurrent Issues in the Development of Foetal Growth References and Standards
Ohuma, E. O., Njim, T. N., & Sharps, M. C. (2018) · Current Epidemiology Reports · doi:10.1007/s40471-018-0168-6 · Cited by 12
Vitner, D., Bleicher, I., Kadour‐Peero, E., Borenstein‐Levin, L., Kugelman, A., Sagi, S., & Gonen, R. (2018) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2018.1531121 · Cited by 12
“Recent reports suggest that the statistical approach to define fetal macrosomia, using customized growth curves based on ethnicity or individual characteristics, may improve precision in evaluating fetal growth [5,6].”
BackgroundBlue, N. R., Mele, L., Grobman, W. A., Bailit, J. L., Wapner, R. J., Thorp, J. M., Caritis, S. N., Prasad, M. R., Tita, A., Saade, G. R., et al. (2022) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2022.100599 · Cited by 11
Self-citationKiefer, M. K., Finneran, M. M., Ware, C. A., Foy, P. M., Thung, S., Gabbe, S. G., Landon, M. B., Grobman, W. A., & Venkatesh, K. K. (2022) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.26071 · Cited by 11
Self-citationComparing population-based fetal growth standards in a US cohort
Gleason, J. L., Reddy, U. M., Chen, Z., Grobman, W. A., Wapner, R. J., Steller, J. G., Simhan, H. N., Scifres, C., Blue, N. R., Parry, S. I., et al. (2023) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2023.12.034 · Cited by 11
Self-citationBirth weight prediction models for the different gestational age stages in a Chinese population
Li, C., Yang, P., Zhang, B., Ji, W., Li, L., Gong, J., Xia, W., Li, Y., Jin, S., Song, R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-47056-0 · Cited by 11
Metadata
- Authors
- Buck Louis, G. M., Grewal, J., Albert, P. S., Sciscione, A., Wing, D. A., Grobman, W. A., Newman, R. B., Wapner, R., D’Alton, M. E., Skupski, D., Nageotte, M. P., Ranzini, A. C., Owen, J., Chien, E. K., Craigo, S., Hediger, M. L., Kim, S., Zhang, C., & Grantz, K. L.
- Affiliations
- National Institutes of Health (US)
- Christiana Care Health System (US)
- University of California, Irvine (US)
- Northwestern University (US)
- Medical University of South Carolina (US)
- Columbia University Irving Medical Center (US)
- New York Hospital Queens (US)
- MemorialCare Long Beach Medical Center (US)
- Saint Peter's University Hospital (US)
- University of Alabama (US)
- Women & Infants Hospital of Rhode Island (US)
- Tufts Medical Center (US)
- ORCID
- Venue
- American Journal of Obstetrics and Gynecology
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 213
- Issue
- 4
- Pages
- 449.e1-449.e41
- ISSN
- 0002-9378 (ISSN-L)
- PMC
- PMC4584427
- OpenAlex
- W2134751634
- Semantic Scholar
- 8d33b1784bf29d9cc114d1428637e2a03c7b59d1
- Cited by
- 532
- References
- 41
- Citations by year
- 2026: 37 · 2025: 56 · 2024: 48 · 2023: 49 · 2022: 68 · 2021: 70 · 2020: 44 · 2019: 47 · 2018: 46 · 2017: 44 · 2016: 23
- FWCI
- 42.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Obstetrics and Gynecology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (UL1TR001414)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HHSN275200800012C, HHSN275200800002C, HHSN275200800014C, HHSN275200800003C, HHSN275201000009C, HHSN275200800003I, HHSN275200800013C, HHSN275 200800028C, HHSN275200800002I, ZIAHD008852)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and Neonatal Healthcare
- Keywords
- fetal growth standards, fetal growth curves, racial and ethnic differences, estimated fetal weight, low-risk singleton pregnancy, fetal overgrowth, gestational age, fetal biometry, maternal sociodemographic factors, macrosomia
- MeSH terms
- Adolescent, Adult, Anthropometry, Asian, Black or African American, Cephalometry, Female, Hispanic or Latino, Humans, Longitudinal Studies, Pregnancy, Prospective Studies, Reference Values, United States, Cohort Studies, Ultrasonography, Prenatal, White People, Fetal Development, National Institute of Child Health and Human Development (U.S.), Young Adult
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