Maternal determinants of placental morphometry and birth weight

Balihallimath, Rupa L.; Shirol, Veereshkumar S; Tyagi, Naresh Kumar; Gan, Anita M.; Desai, Suresh P.

doi:10.5455/ijmsph.2015.1012201499

Cited by 7 publications

(12 citation statements)

References 8 publications

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“…[23] In addition, there was a significant increase in placenta weight with maternal age in the univariable model. This finding is similar to that reported by Afodun et al (2015) and Balihallimath et al (2015) where they all established that placentas from mothers in the 20-30 year age group had heavier placentas compared to those below 20 years. [24,25] This increase in placenta morphometry result from improved nutrition status, and maturation of the reproductive system as the mother's age progresses from the teen years towards adulthood.…”

Section: Discussionsupporting

confidence: 92%

“…[8] In the present study there was no significant association between parity and placenta weight; Balihallimath et al reported similar findings. [25] On the contrary Roland et al reported a significant increase in placenta weight with parity. [28] One of the theories put forward to explain why placenta weight would increase with parity was due to maternal sensitization to paternal antigens found on the fetus leading to both placental and fetal growth, it was also observed that the greatest increments occur between parity one and two with little or no increment occurring with higher parity.…”

Section: Discussionmentioning

confidence: 94%

“…[24,25] This increase in placenta morphometry result from improved nutrition status, and maturation of the reproductive system as the mother's age progresses from the teen years towards adulthood. [25] This, in turn, favors proper growth and development of the placenta. Low maternal haemoglobin concentration has been associated with higher placenta weights in different studies, [8,26,27] on the contrary there were no significant associations between maternal haemoglobin levels with placenta weight in the current study.…”

Section: Discussionmentioning

confidence: 99%

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Morphometry of the Human Placenta in Mining and Non-Mining Areas in Northwestern Tanzania; A Comparative Cross-Sectional Study

Ndibalema

Mwaka

Rambau

et al. 2020

AANAT

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Introduction: Placenta morphometry varies with increased heavy metal concentrations among other factors. There is limited knowledge on the effect of perceived heavy metal exposure due to mining activities on placenta morphometry specific to the Tanzanian population. The study thus aimed to determine the morphometric characteristics of the human placenta and the association between placental weight with maternal factors in mining and non-mining areas in Northwestern Tanzania. Subjects and Methods: This was a comparative cross-sectional study conducted in Mwanza and Geita regions of Northwestern Tanzania representing the mining and non-mining areas, respectively. Included in the study were placentas from 490 mothers, residing in the respective areas throughout pregnancy. Comparison of the placenta morphometric variables between the two groups was made using the independent sample t-test, and association between the maternal factors and placenta weight was done using multi-level linear analysis. Results: The mean placenta weight in the non-mining and mining areas was 465.9±101.2 g and 443.6±82.7g, and the mean thickness was 1.52±0.32cm and 1.61±0.38cm respectively. The mean diameter in the non-mining and mining areas was 19.0±1.9cm, the mean cotyledon number was 20±5 and 19±4, and the mean cord length was 49.0±12.7cm and 50.1 ±10.4cm respectively. With the exception of cord length, the differences in the morphometric parameters in the non-mining and mining areas were significant p<0.5. Increase in maternal weight on booking and maternal age were associated with corresponding increase in placenta weight. Conclusion: The findings of this study seem to suggest that heavy metal exposure due to mining activities does affect placenta growth.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

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Morphometry of the Human Placenta in Mining and Non-Mining Areas in Northwestern Tanzania; A Comparative Cross-Sectional Study

Ndibalema

Mwaka

Rambau

et al. 2020

AANAT

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“…This might place the mothers in the state of low risk of adverse pregnancy outcome. Primparous mothers have high risk of delivering low weighted neonates [38][39][40]. This is because, the first pregnancy places huge constraint on the uterus resulting in uterine adaptation through expression of genes from the placenta.…”

Section: Discussionmentioning

confidence: 99%

Association of Maternal Sociodemographic Characteristics and Prepregnancy Biometric Indices With Birth Weight Outcome Among Ghanaian Women in the Kumasi Metropolis

Bimpong¹,

Abaidoo²,

Appiah³

et al. 2020

IJAR

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Background:Maternal sociodemographic characteristics affect birth weight, an important predictor of neonatal morbidity and mortality. Maternal lipid levels during pregnancy have been linked to abnormal birth weight. Notwithstanding, there is lack of data on the maternal sociodemographic characteristics and early maternal lipid levels on birth weight outcomes in Ghana. This study therefore sought to determine the relationship between maternal sociodemographic characteristics,early maternal lipid levels and birth weight outcome among Ghanaian women in the Kumasi Metropolis of Ghana.Methods: Maternal lipid levelswere assessed in the first trimester from 246 pregnant women attending AntenatalClinic in the Kumasi Metropolis, Ghana, between January 2014 and October 2016. Maternal sociodemographic informationwas collected through standard medical record forms at first antenatal visit. Pregnancy was tracked till delivery and birth weight measured.Results: The mean maternal age was 27.42±6.10 years and that of parity was 2.57±1.42. Mean gestational age was 36.60±2.46 weeks. The proportion of study participants decreased from those whose highest education was JHS, no formal education, SHS, primary and then university. The means of maternal pre-pregnancy systolic and diastolic blood pressures were 118.81±25.15mmHg and 75.04±14.02mmHg respectively. Both total cholesterol and triglycerides had their respective means and ranges of 4.02±0.09mmol/L and 1.47±0.05 mmol/L. Conclusion:The birth weight of neonates of mothers with no formal education was significantly higher compared to mothers with formal education at <95 th percentile of pre-pregnancy maternal triglycerides. Mean neonatal birth weight of the Akan mothers was significantly lower than that of the Northernersbut higher than their Fante counterparts at <95 th percentile of pre-pregnancy maternal total cholesterol level.

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“…of specimen collection, preparation, and assessment of placental morphometry 11 Placentae were collected soon after separating the baby from the umbilical cord. The collected placentae were examined thoroughly and washed under running tap water; thereafter, membranes were trimmed.…”

Section: Methodsmentioning

confidence: 99%

Determinants of feto-placental ratio

Balihallimath¹,

Bhusaraddi²,

Singh³

et al. 2015

JIMD

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Abstract:The dimension of delivered placentae mirrors the cumulative conception to parturition. Placental weight is the gross summary of fetal growth under the influence of many extrinsic and intrinsic factors. Hence, the present study evaluated the influence of gestation, sex of the newborn, and parity on feto singleton newborn from a teaching hospital of North Karnataka, India. Data was collected from August 2012 to January 2013 by using standard operating procedures deviations of placental morphometry, respectively. In gestational age 28 to 32 weeks, the consistently up to 6.19:1 with increasing gestat increased with increasing groups of gestational age. Feto was in favor of primipara (6.0:1 (6.3:1). The paritywise feto-placental ratio differences were not statistically significant. However, irrespective of gestation, multipara had higher feto-placental ratio (6.2:1) as compared to pri gestation, males had higher feto placental ratio is influenced by variates o Hence, variations in any of these factors lead to adverse pregnancy outcome by deviation of feto placental ratio.

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Maternal determinants of placental morphometry and birth weight

Cited by 7 publications

References 8 publications

Morphometry of the Human Placenta in Mining and Non-Mining Areas in Northwestern Tanzania; A Comparative Cross-Sectional Study

Morphometry of the Human Placenta in Mining and Non-Mining Areas in Northwestern Tanzania; A Comparative Cross-Sectional Study

Association of Maternal Sociodemographic Characteristics and Prepregnancy Biometric Indices With Birth Weight Outcome Among Ghanaian Women in the Kumasi Metropolis

Determinants of feto-placental ratio

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