Comparison of birth weight, length, and head circumference between the BRISA-RP and Intergrowth‐21st cohorts

Pimenta, João Roberto R.; Grandi, Carlos; Aragon, Davi Casale; Cardoso, Viviane Cunha

doi:10.1016/j.jpedp.2019.05.022

Cited by 3 publications

(5 citation statements)

References 21 publications

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“…The findings from this meta-analysis support prior studies showing that an international reference may overestimate SGA in a high-risk population with increased exposure to multiple causes of poor fetal growth, including infections like malaria and poor nutrition [20,49] while underestimating it in low-risk populations [50]. Several other studies [22,23,50,51] found differences between local and global references. The results of this and previous studies [20][21][22][23][49][50][51] strengthen the importance of having a reference chart derived from a local population, thereby accounting for geographical and ethnic differences.…”

Section: Preterm (N = 616)supporting

confidence: 82%

“…Several other studies [22,23,50,51] found differences between local and global references. The results of this and previous studies [20][21][22][23][49][50][51] strengthen the importance of having a reference chart derived from a local population, thereby accounting for geographical and ethnic differences. The FIGO position paper supports this approach [17].…”

Section: Preterm (N = 616)mentioning

confidence: 87%

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The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

Mtove

Minja

Abdul

et al. 2022

Malar J

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Background The prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Intergrowth-21) on the association between malaria in pregnancy and SGA. Methods Individual participant data of 6,236 newborns were pooled from seven conveniently identified studies conducted in Tanzania and Malawi from 2003–2018 with data on malaria in pregnancy, birthweight, and ultrasound estimated gestational age. Mixed-effects regression models were used to compare the association between malaria in pregnancy and SGA when using the STOPPAM and the Intergrowth-21 references, respectively. Results The 10th percentile for birthweights-for-gestational age was lower for STOPPAM than for Intergrowth-21, leading to a prevalence of SGASTOPPAM of 14.2% and SGAIG21 of 18.0%, p < 0.001. The association between malaria in pregnancy and SGA was stronger for STOPPAM (adjusted odds ratio (aOR) 1.30 [1.09–1.56], p < 0.01) than for Intergrowth-21 (aOR 1.19 [1.00–1.40], p = 0.04), particularly among paucigravidae (SGASTOPPAM aOR 1.36 [1.09–1.71], p < 0.01 vs SGAIG21 aOR 1.21 [0.97–1.50], p = 0.08). Conclusions The prevalence of SGA may be overestimated and the impact of malaria in pregnancy underestimated when using Intergrowth-21. Comparing local reference charts to global references when assessing and interpreting the impact of malaria in pregnancy may be appropriate.

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Section: Preterm (N = 616)supporting

confidence: 82%

Section: Preterm (N = 616)mentioning

confidence: 87%

The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

Mtove

Minja

Abdul

et al. 2022

Malar J

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“…A third birth cohort was developed in the city in 2010 as part of the BRISA (Brazilian Birth Cohort Studies -Ribeirão Preto-São Luís) multicenter study in Ribeirão Preto and São Luís, including all births from January 1 to December 31, 2010 and enrolling 7,794 children in Ribeirão Preto. Detailed information on the methodology of the Ribeirão Preto cohorts have been published elsewhere 15,16,17 .…”

Section: Methodsmentioning

confidence: 99%

Sociodemographic profile of primiparous mothers from nine birth cohorts in three Brazilian cities

2021

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Fertility reduction is a phenomenon observed in demographic transition. The demographic changes noted in female fertility represent a need for adjustment on health services regarding female health and family planning support. Thus, this study aimed to perform a descriptive analysis by tracing the sociodemographic profile of primiparous mothers belonging to nine Brazilian birth cohorts, in three cities from different states. Standardized questionnaires were applied to assess reproductive characteristics and covariables. Primiparous mothers were defined as women whose child included in birth cohorts was their firstborn child. Sample description was performed using analysis of variance (continuous variables) and chi-square (categorical variables). In total, 44,615 women were included in the analyses and 41.8% (95%CI: 41.3; 42.2) were categorized as primiparous. The primiparity rates were the lowest in Ribeirão Preto (São Paulo State) 1978 (32%; 95%CI: 30.9; 33.1) and the highest in most recent cohorts, reaching up to 50% of the participants (São Luís - Maranhão State 2010: 47.2%; 95%CI: 45.8; 48.6; Ribeirão Preto 2010: 50.2%; 95%CI: 49.1; 51.4); Pelotas (Rio Grande do Sul State) 2015: 49.4% (95%CI: 47.9; 50.9). Primiparous mothers’ age and schooling increased over the years in all cohorts. Maternal age at the first childbirth behaved similarly in the three studied cities. There was an increase in the proportion of first-time mothers that were older, higher educated and belonged to richer income groups. Also, the proportion of teenage mothers (aged 15 years or younger) increased until the early 2000’s and started decreasing around the years 2010, especially among women in the poorer income groups.

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“…To date, there are still few studies that have compared different population growth charts with Intergrowth-21st. 2,5,6,[17][18][19][20][21][22][23] However, its ability to identify the SGA infants remains under debate. 11 The aim of the present study is to compare Fenton, Olsen, and Intergrowth-21st growth charts, regarding the classification at birth and incidence of SGA in very preterm infants.…”

mentioning

confidence: 99%

“…To date, there are still few studies that have compared different population growth charts with Intergrowth-21st. 2 5 6 17 18 19 20 21 22 23 However, its ability to identify the SGA infants remains under debate. 11…”

mentioning

confidence: 99%

Differences When Classifying Small for Gestational Age Preterm Infants According to the Growth Chart Applied

et al. 2023

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Objective Consensus around the ideal chart to classify preterm babies is scant. It is particularly relevant in small for gestational age (SGA) infants due to its clinical and therapeutic implications. The aim of the study was to compare Olsen, Intergrowth-21st, and Fenton growth charts, regarding the classification at birth and incidence of SGA preterm infants. Study Design Retrospective study of 529 preterm infants ≤ 32 weeks of gestational age. Birth weight Z-score was calculated applying the three growth charts and ponderal index (PI) was also estimated. Incidence of SGA (birth weight < 10th percentile) and clinical outcome were compared according to the chart used. Results Incidence of SGA was significantly higher (p < 0.001) with Olsen (101 cases, 19.1%) compared with Intergrowth-21st (75 cases, 14.2%) and Fenton (53 cases, 10%). Differences were also found with PI of SGA preterm infants, as those infants classified by Olsen were mostly symmetric (PI > 10th percentile), while Fenton and Intergrowth-21st identified less symmetric SGA infants. Kappa concordance between Intergrowth-21st and Fenton was 0.805, Intergrowth-21st versus Olsen 0.824, and Fenton versus Olsen 0.641. No differences were observed on neonatal morbidities or mortality. Conclusion Significant differences were detected when classifying very preterm infants at birth according to the growth chart, mainly among symmetric SGA. Concordance between Fenton and Olsen was poor, but Intergrowth-21st showed high concordance with Fenton and Olsen. However, further research is needed to select the ideal chart. Variability in the population selected to create the curves and the accuracy dating the pregnancy are factors that may have explained differences. Key Points

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Comparison of birth weight, length, and head circumference between the BRISA-RP and Intergrowth‐21st cohorts

Cited by 3 publications

References 21 publications

The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

Sociodemographic profile of primiparous mothers from nine birth cohorts in three Brazilian cities

Differences When Classifying Small for Gestational Age Preterm Infants According to the Growth Chart Applied

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