Maternal BMI during Pregnancy: Effect on trace elements Status and Pregnancy Outcomes

Ugwuja, Emmanuel Ike; Akubugwo, E. I.; Obidoa, Onyechi

doi:10.4314/ijhr.v3i2.70270

Cited by 12 publications

(30 citation statements)

References 38 publications

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“…There is a direct relationship between older aged women and obesity in this study. This corroborate with findings from other studies 9,11,24 but contrary to what was reported elsewhere 7,8,20 . This may reflect physiological changes associated with increased adiposity with increasing age and more so older women are more likely to be parous, with weight gain during previous pregnancies cumulatively predisposing them to obesity.…”

Section: Discussionsupporting

confidence: 88%

“…The prevalence of obesity among early booked pregnant women found in this study is however higher than the reported range of obesity among pregnant women of 1.8 -25.3% quoted by WHO 4 . Surprisingly, the value from our study is also about three times the reported rates of 7.4 -10.7% from other regions of the country 8,14,15 , but a high rate of 22.6% has also been reported from Abakaliki, Southeastern Nigeria 9 .…”

Section: Discussioncontrasting

confidence: 57%

“…This may ultimately increase the cost of obstetric care as a result of negative impacts of obesity in pregnancy including increased risk of miscarriages, gestational hypertension and pre-eclampsia, gestational diabetes, prolonged pregnancy, increased caesarean section rates, postpartum hemorrhage, fetal macrosomia and fetal deaths. In Nigeria, there are reports of significant level of obesity in pregnancy in the South-eastern parts of the country with prevalence range of 10.7 to 22.6% with associated reported adverse maternal and fetal outcomes 8,9 .…”

Section: Introductionmentioning

confidence: 99%

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Prevalence and Risk Factors for Obesity in a Nigerian Obstetric Population

Anzaku¹

2014

AJHR

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Background: An obese pregnant woman is at increased risk of pregnancy complications with resultant adverse pregnancy outcomes. This study was undertaken to ascertain the magnitude of this nutritional disorder and its predictive factors among an obstetric population in Nigeria. Materials and methods: A descriptive study of pregnant women who registered for antenatal care within the first trimester in a private University Teaching Hospital over a 7-month period. They were interviewed to document the requisite data, their weights and heights were also taken. Body mass index obesity and obesity were classified based on the WHO criteria. Data was analyzed using SPSS version 16 for windows (SPSS Inc., Chicago, IL, USA). Results: The mean weight and height of the women were 71.2 ± 14.9 Kg and 1.59 ± 0.06 meters respectively. The prevalence of obesity was 33.1%. Thirty two women (60.4%) had mild obesity, 16 (30.2%) had moderate obesity while 5 (9.4%) had severe or morbid obesity. Also, 32.5% (52/160) of the study population were overweight while 34.4% (55/160) had normal BMI. Maternal age > 35 years (P = 0.04, OR 3.9, 95% CI 1.01-8.15), history of previous delivery (P = 0.03, OR 4.8, 95% CI 1.08-5.55) and self-reported satisfactory income (P = 0.03, OR 4.6, 95% CI 1.11-8.86) were significant independent predictive factors of obesity among the study population. Conclusion: Obesity is common in this obstetric population and older women, previous delivery and self-reported satisfactory income were its predictive factors. The need for prenatal health awareness about obesity and identification of these women aimed at instituting early antenatal surveillance and identification of complication(s) is advocated.

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Section: Discussionsupporting

confidence: 88%

Section: Discussioncontrasting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

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Prevalence and Risk Factors for Obesity in a Nigerian Obstetric Population

Anzaku¹

2014

AJHR

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“…Included studies were from Nigeria ( n = 16), South Africa ( n = 7), Egypt ( n = 2), Ghana ( n = 1), Tanzania ( n = 1), Zimbabwe ( n = 1) and a final study conducted in seven African countries. With respect to quality, 11 studies were weak, 46 , 48 , 51 , 56 , 57 , 59 , 62 , 63 , 65 , 69 , 72 12 moderate 50 , 52 , 54 , 55 , 60 , 61 , 64 , 66 , 67 , 68 , 71 , 73 and 6 studies were classified as strong. 47 , 49 , 58 , 70 , 74 , 75 Most studies gave weak descriptions about controlling for confounders and/or about data collection methods.…”

Section: Results Of the Literature Searchmentioning

confidence: 99%

Maternal obesity in Africa: a systematic review and meta-analysis

et al. 2015

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BackgroundMaternal obesity is emerging as a public health problem, recently highlighted together with maternal under-nutrition as a ‘double burden’, especially in African countries undergoing social and economic transition. This systematic review was conducted to investigate the current evidence on maternal obesity in Africa.MethodsMEDLINE, EMBASE, Scopus, CINAHL and PsycINFO were searched (up to August 2014) and identified 29 studies. Prevalence, associations with socio-demographic factors, labour, child and maternal consequences of maternal obesity were assessed. Pooled risk ratios comparing obese and non-obese groups were calculated.ResultsPrevalence of maternal obesity across Africa ranged from 6.5 to 50.7%, with older and multiparous mothers more likely to be obese. Obese mothers had increased risks of adverse labour, child and maternal outcomes. However, non-obese mothers were more likely to have low-birthweight babies. The differences in measurement and timing of assessment of maternal obesity were found across studies. No studies were identified either on the knowledge or attitudes of pregnant women towards maternal obesity; or on interventions for obese pregnant women.ConclusionsThese results show that Africa's levels of maternal obesity are already having significant adverse effects. Culturally adaptable/sensitive interventions should be developed while monitoring to avoid undesired side effects.

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“…The authors have also reported a positive relationship of maternal BMI with age, parity and socioeconomic status among pregnant Nigerians 32 This may have important public health implications as adverse pregnancy outcomes have been associated with multiparity and increased maternal BMI [33][34][35] . It may be argued that the higher incidence of some pregnancy complications in high parous women, such as preterm delivery and macrosomia 36,37 may be related to increase in maternal BMI.…”

Section: Singh Et Almentioning

confidence: 78%

The effect of parity on maternal body mass index, plasma mineral element status and new-born anthropometrics

Ugwuja¹,

Nnabu²,

Ezeonu³

et al. 2015

Afr H. Sci.

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Background: Adverse pregnancy outcome is an important public health problem that has been partly associated with increasing maternal parity. Aim: To determine the effect of parity on maternal body mass index (BMI), mineral element status and newborn anthropometrics. Methods: Data for 349 pregnant women previously studied for the impacts of maternal plasma mineral element status on pregnancy and its outcomes was analysed. Obstetric and demographic data and 5mls of blood samples were obtained from each subject. Blood lead, plasma copper, iron and zinc were determined using atomic absorption spectrophotometer. Results: Maternal BMI increases with parity. Women with parity two had significantly higher plasma zinc but lower plasma copper with comparable levels of the elements in nulliparous and higher parity groups. Although plasma iron was comparable among the groups, blood lead was significantly higher in parity > three. Newborn birth length increases with parity with a positive correlation between parity and maternal BMI (r = 0.221; p = 0.001) and newborn birth length (r = 0.170; p = 0.002) while plasma copper was negatively correlated with newborn's head circumference (r = -0.115; p = 0.040) Conclusion: It is plausible that parity affects maternal BMI and newborn anthropometrics through alterations in maternal plasma mineral element levels. While further studies are desired to confirm the present findings, there is need for pregnant and would-be pregnant women to diversify their diet to optimize their mineral element status.

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Maternal BMI during Pregnancy: Effect on trace elements Status and Pregnancy Outcomes

Cited by 12 publications

References 38 publications

Prevalence and Risk Factors for Obesity in a Nigerian Obstetric Population

Prevalence and Risk Factors for Obesity in a Nigerian Obstetric Population

Maternal obesity in Africa: a systematic review and meta-analysis

The effect of parity on maternal body mass index, plasma mineral element status and new-born anthropometrics

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