The birth weight of apparently healthy Nigerian newborns in Sokoto

Onankpa, BO; Airede, K I; Ahmed, H.; Nm, Jiya

doi:10.4314/smj2.v9i1.12919

Cited by 7 publications

(11 citation statements)

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“…These differences in mean birth weight may be due to altitude; maternal nutrition and maternal diseases 18. However, mean birth weight of 3065 g was reported earlier in this institution 19. This was lower than the present study perhaps due to a relatively small sample size in the previous study.…”

Section: Discussioncontrasting

confidence: 83%

The relationship between the weight of the placenta and birth weight of the neonate in a Nigerian Hospital

et al. 2012

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Background:There have been several publications from different countries on the relationship between the placental weight and birth weight of the neonate. However, such reports from Nigeria are lacking in literature. The objective of this study was to determine the relationship between the placental weight and birth weight of the neonate at term pregnancy in a Nigerian hospital.Materials and Methods:It was a cross-sectional study conducted at Usmanu Danfodiyo University Teaching Hospital Sokoto between 1st October 2008 and 31st March 2009. Data gestational age at delivery (in weeks), parity, mode of delivery, fetal birth weight, placental weight, fetal gender, presence or absence of maternal medical diseases were obtained from 1009 singleton term deliveries who met the inclusion criteria for the study. The data was processed using EPI-INFO version 2005 and statistical analysis performed using one-way analysis of variance. A probability of 0.05 was set for statistical significance.Results:The placental birth weight ranged from 300 to 890 g with a mean of 590±82 g while the birth weight of the neonate ranged from 2030 to 5020 g with an average of 3275±469 g. The mean gestational age at delivery was 38.8±1.1 weeks while the mean placental birth weight ratio was 18.2±2.4 Increase in birth weight of the neonate was associated with corresponding increase in placental weight. However, as the gestational age at term advances the proportion of increase in the former was greater than that of the latter.Conclusions:There is a positive correlation between placental weight and birth weight of the neonate. However, the ratio of the placental and neonatal birth weights at term decreases with advancing gestational age. Thus, prolongation of pregnancy at term may adversely affect the fetus.

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Section: Discussioncontrasting

confidence: 83%

The relationship between the weight of the placenta and birth weight of the neonate in a Nigerian Hospital

et al. 2012

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“…Similarly, birth weight is an important factor associated with child morbidity and mortality as well as organic diseases during the child's adult life (Calkins and Devaskar, 2011). It is also a vital instrument for assessing the health care delivery system of a nation (Onankpa et al, 2006). Meanwhile, significant differences in normal weights at birth and weights during childhood were observed across races in a study carried out by Wilcox and colleagues (1993).…”

Section: During Childhoodmentioning

confidence: 99%

“…Meanwhile, significant differences in normal weights at birth and weights during childhood were observed across races in a study carried out by Wilcox and colleagues (1993). Moreover, within Nigeria it was for instance reported that normal child birth weights also vary from one geo-political region or ethnicity to another (Patwari et al, 1988;Onankpa et al, 2006). These disparities may not be unconnected with differences in sex of the babies, maternal race and age, smoking habits, alcohol consumption, presence of gestational diabetes and socioeconomic status (Amini et al, 1994;Onankpa et al, 2006;Ndu et al, 2014;Wilcox et al, 1993).…”

Section: During Childhoodmentioning

confidence: 99%

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Human anthropometric values and societal factors - A review

Bamaiyi¹,

Ladan²

2019

Int. J. Curr. Res. Biosci. Plant Biol.

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Anthropometric measurements have important applications in every aspect and stage of the human life. It may be used to tell-tale the health or otherwise during pregnancy of the mother and the unborn baby. During childhood, it can be used to measure growth, health and nutritional status. In adult life, they may depict level of nourishment and may connote some disease states. The records are required in drugs prescription and in designing and choosing the right hospital equipment to use for a patient. Anthropometric measurements are also required in the design of houses, human wears and most industrial designs of products for human uses are based on average anthropometric records of the particular society for which they are meant. A particular anthropometric index however, may vary widely between apparently normal individuals of the same sex, age and race when varying from one societal setting to the other and sometimes within same society based on some factors. These differences often make it difficult to interpret anthropometric measurements as normal or abnormal. What are the determinants of these differences? How should these variations be managed by health workers and other users? The present review intends to present some of these differences in various human categories and suggest in a compact, yet comprehensive form, how to deal with these differences in order to optimize the use of the records.

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“…where n = sample size of each group, u = one-sided percentage point of the normal distribution corresponding to 100% power (the power of this study was 90%), v = percentage point of the normal distribution corresponding to a two-sided significance level, u1 = expected mean (hypothetic mean): mean birthweight in healthy newborns is 3.0 kg, 36 and u0 = universal mean = mean birth weight seen in the literature in sickle cell pregnancies. 37 Universal mean (u0) from the literature 38 This was rounded down to 60.…”

Section: Sample Sizementioning

confidence: 99%

Evaluation of Umbilical Artery Doppler Indices in Pregnant Women With Sickle Cell Anemia Disease at a Nigerian Tertiary Hospital

Agbaje¹,

Adeyomoye

Omidiji

et al. 2018

Journal of Diagnostic Medical Sonography

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Sickle cell disease (SCD) and its variants are genetic disorders resulting from the presence of a mutated form of hemoglobin, hemoglobin S (HbS). 1 The prototype of these diseases is sickle cell anemia, an autosomal recessive disorder, which results from point mutation and leads to substitution of valine for glutamic acid, at the sixth position of the beta-globin chain. The resultant hemoglobin molecule has abnormal physiochemical properties that lead to the manifestation of the chronic disease state. 2 SCD affects 20 to 25 million people globally. 3 The exact prevalence is unknown in the United States, 4 but a study by Brousseau et al. 5 on the number of people with SCD in the United States showed 89,079 people in 2005. Prevalence in India varies per tribe from 1% to 40%, with Madhya Pradesh having the highest load with an estimated number of 961,492 heterozygotes and 67,861 homozygotes. 6 In Nigeria, by far the most populous country in sub-Saharan Africa, 24% of the population are carriers of the mutant gene, and the prevalence of sickle cell anemia is 20 per 1000 births. 3 This would indicate that in Nigeria alone, 150,000 children are born with sickle cell anemia every year. 7 The pathophysiology of sickle cell anemia is based on the distortion of red blood cells when these circulate through areas of low oxygen tension. With time, the cells become irreversibly sickled and are either removed from 791157J DMXXX10.

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The birth weight of apparently healthy Nigerian newborns in Sokoto

Cited by 7 publications

References 0 publications

The relationship between the weight of the placenta and birth weight of the neonate in a Nigerian Hospital

The relationship between the weight of the placenta and birth weight of the neonate in a Nigerian Hospital

Human anthropometric values and societal factors - A review

Evaluation of Umbilical Artery Doppler Indices in Pregnant Women With Sickle Cell Anemia Disease at a Nigerian Tertiary Hospital

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