&lt;p&gt;Prevalence and Associated Factors of Macrosomia Among Newborns Delivered in University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia: An Institution-Based Cross-Sectional Study&lt;/p&gt;

Adugna, Dagnew Getnet; Enyew, Engidaw Fentahun; Jemberie, Molla Taye

doi:10.2147/phmt.s289218

Cited by 18 publications

(29 citation statements)

References 33 publications

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“…In this cohort, the percentage of macrosomic neonates (10.6%) was higher than the percentage of LBW neonates (6.6%), which is consistent with the literature [11,26,27]. The number of fetal growth restriction (FGR) cases was low (2.3% of pregnancies) (Table 2), but this was a low-risk cohort.…”

Section: Discussionsupporting

confidence: 89%

“…'Z': critical value of normal distribution at α/2 and Z-value = 1.962; 'd': margin of error; 'p': sample proportion). The minimum sample size was 864 for an error value of d = 0.02 (2%) and for the macrosomia proportion p = 0.1 (10%), i.e., the mean frequency cited in the literature [26,27]. The minimum sample size was 625 for the error value of d = 0.02 (2%) and for the low birth weight (LBW) proportion p = 0.07 (7%), cited in the literature [11].…”

Section: Methods and Data Collectionmentioning

confidence: 99%

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Maternal Obesity and Risk of Low Birth Weight, Fetal Growth Restriction, and Macrosomia: Multiple Analyses

Lewandowska

2021

Nutrients

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The associations between maternal pre-pregnancy obesity and low birth weight (LBW, <2500 g) remain inconclusive. Therefore, birth weight in a Polish prospective cohort of 912 mothers was investigated depending on the pre-pregnancy body mass index (BMI). The whole cohort and the subgroup of gestational weight gain (GWG) in the range of the Institute of Medicine (IOM) recommendations, as well as ‘healthy’ women (who did not develop diabetes or hypertension in this pregnancy) were investigated. Adjusted odds ratios (AOR) of the newborn outcomes (with 95% confidence intervals, CI) for obesity (BMI ≥ 30 kg/m2) vs. normal BMI (18.5−24.9 kg/m2) were calculated using multiple logistic regression. Risk profiles (in the Lowess method) were presented for BMI values (kg/m2) and threshold BMI values were calculated. (1) In the cohort, LBW affected 6.6% of pregnancies, fetal growth restriction (FGR) 2.3%, and macrosomia 10.6%. (2) The adjusted risk of macrosomia was more than three-fold higher for obesity compared to normal BMI in the whole cohort (AOR = 3.21 (1.69−6.1), p < 0.001) and the result was maintained in the subgroups. A 17-fold higher adjusted LBW risk for obesity was found (AOR = 17.42 (1.5−202.6), p = 0.022), but only in the normal GWG subgroup. The FGR risk profile was U-shaped: in the entire cohort, the risk was more than three times higher for obesity (AOR = 3.12 (1.02−9.54), p = 0.045) and underweight (AOR = 3.84 (1.13−13.0), p = 0.031). (3) The risk profiles showed that the highest BMI values were found to be associated with a higher risk of these three newborn outcomes and the threshold BMI was 23.7 kg/m2 for macrosomia, 26.2 kg/m2 for LBW, and 31.8 kg/m2 for FGR. These results confirm the multidirectional effects of obesity on fetal growth (low birth weight, fetal growth restriction, and macrosomia). The results for LBW were heavily masked by the effects of abnormal gestational weight gain.

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Section: Discussionsupporting

confidence: 89%

Section: Methods and Data Collectionmentioning

confidence: 99%

Maternal Obesity and Risk of Low Birth Weight, Fetal Growth Restriction, and Macrosomia: Multiple Analyses

Lewandowska

2021

Nutrients

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“…Globally, macrosomia affects 12% of normal pregnancy and 15%-45% of mothers with gestational diabetes (8). The magnitude of fetal macrosomia varied from region to region, from one community to another, and has shown temporal changes in the same community due to various factors investigated in different studies (9)(10)(11)(12)(13)(14). Its prevalence is higher in industrialized nations, in a uent countries where their nutritional levels are among women of high socioeconomic status within a given population(6).…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Determinants of fetal macrosomia among live births in southern Ethiopia: a matched case-control study

Woltamo

Koyra

Bitew

et al. 2021

Preprint

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Background The magnitude of fetal macrosomia is high and associated with adverse maternal and fetal outcomes, especially among women in developing countries like Ethiopia. Despite the observed burden, there is limited evidence on determinants of fetal macrosomia. This study aimed to identify determinants of fetal macrosomia among live births at Wolaita Sodo town Southern Ethiopia. Methods A facility-based matched case-control study design involved 360 singletons deliveries attended at hospitals in Wolaita Sodo town, southern Ethiopia, with 120 cases and 240 controls included. Cases and control were matched by maternal age. Cases were neonates with a birth weight of ≥4000, while controls were neonates with a birthweight between 2500gm and less than 4000gm. Data were collected by interviews, measuring, and reviewing mothers' medical documents. Conditional logistic regression analysis was carried to identify the independent predictor variables. Statistical significance was set using a p-value<0.05 and 95% CI for AOR. Results Male neonates were four times more likely to be macrosomia than female neonates AOR=4.0 [95%CI; 2.25-7.11, p<0.001]. Neonates born at gestational age ≥40 weeks were 4.33 times more likely to be macrosomia with AOR= 4.33 [95%CI; 2.37-7.91, p<0.001]. Neonates born from physically active mothers were 7.76 times more likely to be macrosomia with AOR= 7.76 [95CI; 3.33-18.08, p<0.001]. Neonates born from mothers who consumed fruits and dairy products in their diet frequently were 2 and 4.9 times more likely to be macrosomia AOR=2.03 [95%CI; 1.11-3.69, p=0.021] and AOR= 4.91[95%CI; 2.36-10.23, p<0.001] respectively. Conclusion Mothers' physical exercise and consumption of fruit and dairy products were significant predictor variables for fetal macrosomia. Hence, health care providers may use these factors as a screening tool for the prediction, early diagnosis, and timely intervention of fetal macrosomia and its complications.

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“…Ghana (6.5%) [15], Ethiopia (7.54%) [16] and China (7.3%) [17]. The prevalence is; however, lower than 10.7% reported by Fayehun and Asa [12] among babies delivered in Nigerian Low birth weight was present in 3.4% of term babies studied.…”

Section: Introductionmentioning

confidence: 74%

Patterns and Determinants of Birth Weight in Term Babies Delivered at an Urban Multi-Specialty Private Hospital in Southern Nigeria. A Retrospective Cross-Sectional Study

Ikhurionan¹,

Akhimienho²,

Ochuba³

et al. 2021

Annals of Neonatology Journal

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Background: Birth weight is among the most common measures for assessment of intrauterine growth, particularly in developing countries. Aberrations in intrauterine growth can result in profound sequelae in the immediate neonatal period and later in life.In Nigeria, there is generally a poor national summary of abnormal birth weight pattern. Aim of work:To describe the patterns of birth weight and associated factors among term babies delivered in an urban private hospital setting. Patients and methods: This was a single-center cross-sectional study. Records of all babies delivered from January 1 st , 2020, to December 31 st , 2020, were retrospectively reviewed. Preterm deliveries were excluded from the data. Results: There were 411 term deliveries during the study period, 255 vaginal deliveries and 156 caesarean deliveries. 407 babies were from singleton pregnancies and 8 by twin pregnancies. Thirty-one (7.5%) of the term babies had macrosomia and 14 (3.4%) had low birth weights. Bivariate analysis shows statistically significant association between birth weights of term babies and type of gestation (χ 2 -11.288, p -0.002) and mode of delivery (χ 2 -9.718, p -0.035). There was however no association between birth weights and mother's age or parity and baby's sex. Conclusions:Our findings show that newborn under-nutrition (LBW) and over-nutrition (HBW) are significant public health problems even among high income mothers in Benin City.

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<p>Prevalence and Associated Factors of Macrosomia Among Newborns Delivered in University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia: An Institution-Based Cross-Sectional Study</p>

Cited by 18 publications

References 33 publications

Maternal Obesity and Risk of Low Birth Weight, Fetal Growth Restriction, and Macrosomia: Multiple Analyses

Maternal Obesity and Risk of Low Birth Weight, Fetal Growth Restriction, and Macrosomia: Multiple Analyses

WITHDRAWN: Determinants of fetal macrosomia among live births in southern Ethiopia: a matched case-control study

Patterns and Determinants of Birth Weight in Term Babies Delivered at an Urban Multi-Specialty Private Hospital in Southern Nigeria. A Retrospective Cross-Sectional Study

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