National birthweight percentiles by gestational age for twins born in Australia

Roberts, Christine L.; Lancaster, Paul

doi:10.1046/j.1440-1754.1999.00354.x

Cited by 76 publications

(73 citation statements)

References 8 publications

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“…Nevertheless the children who participated in the study had birth weights, lengths and PI representative of the original cohort and birth weight consistent with Australian birth weight reference values. 16 We believe that it is unlikely that self-selection bias would significantly influence these results.…”

Section: Discussionmentioning

confidence: 84%

“…Birth weights, lengths and ponderal index (PI) of the sub-sample were not different from the original birth cohort and the birth weights were consistent with published Australian birth weight centiles. 16 Written consent was obtained from their parents and both The Children's Hospital at Westmead Ethics Committee and the Ethics Committee of the Wentworth Area Health Service gave ethical approval for the study.…”

Section: Methodsmentioning

confidence: 99%

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Abdominal fat and birth size in healthy prepubertal children

et al. 2001

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BACKGROUND: Studies examining the foetal origins hypothesis suggest that small birth size may be a marker of foetal adaptations that programme future propensity to adult disease. We explore the hypothesis that birth size may relate to fat distribution in childhood and that fat distribution may be a link between birth size and adult disease. OBJECTIVE: To investigate the relationship between birth size and abdominal fat, blood pressure, lipids, insulin and insulin:glucose ratio in prepubertal children. DESIGN: Cross-sectional study, based on a birth cohort of consecutive full-term births. SUBJECTS: Two hundred and fifty-five (137 females) healthy, 7-and 8-y-old children. MEASUREMENTS: Body composition and abdominal fat was measured by dual energy X-ray absorptiometry. Lipid, glucose and insulin profiles were measured after an overnight fast and an automated BP monitor was used for blood pressure measurements. RESULTS: There was a negative association between abdominal fat and birth weight s.d. score across a range of normal birth weights (b ¼ 70.18; 95% CI ¼ 70.31 to 70.04, P ¼ 0.009) and a positive association with weight s.d. score at 7=8 y (b ¼ 0.35; 95% CI ¼ 0.24 to 0.46, P < 0.001). Children who were born with the lowest weight s.d. score and had the greatest weight s.d. score at 7=8 y had significantly more (P < 0.001) abdominal fat, as a percentage of total fat (6.53 AE 1.3%) than those who had the highest birth weight s.d. score and the lowest weight s.d. score at 7=8 y (4.14 AE 0.5%). Similar results were seen if head circumference, but not ponderal index, was used as an indicator of birth size. Increased abdominal fat was associated with higher total cholesterol:HDL cholesterol, higher triglyceride concentration and increased diastolic blood pressure. CONCLUSIONS: Birth weight independently predicted abdominal fat. Children with the highest amount of abdominal fat were those who tended to be born lighter and gained weight centiles. Increased abdominal fat was associated with precursor risk factors for ischaemic heart disease.

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Section: Discussionmentioning

confidence: 84%

Section: Methodsmentioning

confidence: 99%

Abdominal fat and birth size in healthy prepubertal children

et al. 2001

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“…[22] Key explanatory variables included maternal age, parity (nulliparous/ multiparous), smoking during pregnancy, maternal weight (kilograms) and previous history of preeclampsia or gestational hypertension. Information on Down syndrome screening biomarkers: free beta human chorionic gonadotropin (free β-hCG) and Pregnancy Associated Plasma Protein A (PAPP-A) were also available for analysis.…”

Section: In-house Studymentioning

confidence: 99%

First trimester screening of maternal placental protein 13 for predicting preeclampsia and small for gestational age: In-house study and systematic review

et al. 2012

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Objective: To describe normative levels of PP13 in first-trimester of pregnancy and determine the accuracy of PP13 in predicting preeclampsia and small for gestational age (SGA) infants.Methods: We measured PP13 in archived first trimester serum samples from an unselected maternal cohort of 2,989 women. Associations of PP13 levels and diagnostic accuracy in predicting adverse pregnancy outcomes were assessed using multivariate logistic regression models. Due to inadequate number of cases we then conducted a systematic review involving structured search of electronic databases and subsequent meta-analysis of predictive accuracy using data from similar studies.Results: Overall, 2,678 women were included in the in-house study with 71 (2.7%) preeclampsia cases, 5 (0.2%) early-onset preeclampsia (≤34 weeks) cases; and 191 (7.1%) and 41 (1.5%) infants SGA<10 th and <3 rd centile. Median (IQR) normative level of PP13 in unaffected pregnancies was 53.5 (37.7-71.8) pg/ml. The area under the receiver operating characteristic curve (AUC) for multivariate models was 0.72 (95%CI 0.66-0.78) for preeclampsia; 0.82 (95%CI 0.63-0.99) for early-onset preeclampsia; 0.73 (95%CI 0.69-0.77) for SGA<10 th centile; and 0.83 (95%CI 0.78-0.88) for SGA<3 rd centile. Eight studies were included in the systematic review, normative levels of PP13 was assessed in four studies but these were variable; and meta-analysis was performed on seven studies. Sensitivity rates of PP13 based on 5% fixed false positive rates were 24%, 45% and 26% for preeclampsia, for early-onset preeclampsia and SGA, respectively.Conclusions: First-trimester PP13, in combination with maternal characteristics and other serum biomarkers was inadequate for screening purposes and predicting women at risk.

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“…Small-for-gestational-age (SGA) and large-for-gestationalage (LGA) were defined as <10th percentile and >90th percentile birthweight for gestational age respectively. 17 Only factors that are well and accurately reported were included in the analyses. 16,[18][19][20][21][22] Missing data were infrequent, only 0.02% records were missing a gestational age and 0.02% were missing mode of onset of labor.…”

Section: Methodsmentioning

confidence: 99%

Trends in planned early birth: a population-based study

Morris

Algert

Falster

et al. 2012

American Journal of Obstetrics and Gynecology

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were inductions. As planned births increased, maternal risks shifted, including a decline in inductions with maternal hypertension from 31.9% to 23.9%. Earlier birth was contemporaneous with increases (trend P<0.001) in neonatal and maternal morbidity from 3.0% to 3.2% and 0.9 % to 1.3%, respectively. Conclusion:Planned birth before the due date is increasing but without reducing perinatal deaths.

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National birthweight percentiles by gestational age for twins born in Australia

Abstract: The charts produced as a result of the study provide birthweight percentiles by gestational age for twins based on national data in Australia. They provide current population norms for the use of Australian clinicians and researchers.

Cited by 76 publications

References 8 publications

Abdominal fat and birth size in healthy prepubertal children

Abdominal fat and birth size in healthy prepubertal children

First trimester screening of maternal placental protein 13 for predicting preeclampsia and small for gestational age: In-house study and systematic review

Trends in planned early birth: a population-based study

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