Iranian Society of Gynecology Oncology

Document Type : Original Research Article

Authors

1 Department of Anatomy, Faculty of Basic Medical Sciences, College of Medical Sciences, Alex Ekwueme Federal University Ndufu Alike, Ebonyi State, Nigeria

2 Department of Paediatrics, Alex Ekwueme Federal University Teaching Hospital, Abakaliki (AEFUTHA) Ebonyi State, Nigeria

3 Department of Obstetrics and Gynaecology, AEFUTHA, Ebonyi State, Nigeria

4 Provost, College of Medical Sciences, Alex Ekwueme Federal University, Ndufu Alike, Ebonyi State, Nigeria

Abstract

Background & Objective: We considered maternal and birth anthropometric features and fetal sex in developing a labor protocol.
Materials & Methods: A prospective study of 400 mothers, having healthy pregnancies and their newborn singletons in gynecology ward of Alex Ekwueme Federal University Teaching Hospital, Abakaliki. The study adopted a convenient sampling technique to select the volunteers from 1st July to December 2020. Birth and maternal anthropometries; BMI, height, weight, birth head girth (BHG), waist girth (WG), hip girth (HG) and delivery outcomes: birth mode and duration of 1st and 2nd phases of labor, and Apgar score at 1 minute of birth were measured, using Institute of Medicine guidelines.
Results: Maternal age, weight, and HG, and WG at term pregnancy and fetal sex could determine birth mode and weight (P<0.05). The associations for duration of 1st phase of labor and maternal and birth anthropometries were inconsistent. Fetal sex, birth mode and features and maternal anthropometries; body fat, age, BMI and HG were associated with duration of 2nd phase of labor and Apgar score.
Conclusion: Maternal anthropometries predispose birth features, and advance age of mothers, relatively large WHR and fetal macrosomia at term pregnancy could increase duration of 2nd phase of labor and risk of a male birth, developing abnormal Apgar score. The strong association between anthropometric variables of a mother and her baby suggests that anthropometric investigations could enhance the choice of birth mode and minimize vaginal birth complications. The study emphasized on the need of a sex specific state-of-the art anthropometric investigations at term pregnancy.

Keywords

Main Subjects

1. Caesarean Sections in Nigeria - Thoughts, Belief Systems and Perceptions. Nigeria Health Watch; 2020.
2. Zakerihamidi M, Latifnejad Roudsari R, Merghati Khoei E. Vaginal Delivery vs. Cesarean Section: A Focused Ethnographic Study of Women's Perceptions in The North of Iran. Int J Community Based Nurs Midwifery. 2015;3(1):39-50.
3. Ezemagu UK, Uzomba GC, Chuwkuemeka U, Rachel O, Friday EC, Onuora O. Maternal and neonatal anthropometric analyses: Determining birth outcomes in low-risk pregnancies at Alex Ekwueme Federal University Teaching Hospital, Abakaliki. Int J Gynecol Obstet. 2021;154(2):324-30. [DOI:10.1002/ijgo.13527] [PMID]
4. Wong P-Y, To WWK. Risk Factors and Pregnancy Outcomes of Macrosomia: a Retrospective Cohort Study. Hong Kong J Gynecol Obstet Midwifery. 2018;18(1):18-23.
5. Lumbanraja S, Lutan D, Usman I. Maternal Weight Gain and Correlation with Birth Weight Infants. Procedia Soc Behav Sci. 2013;103:647-56. [DOI:10.1016/j.sbspro.2013.10.383]
6. Boulet SL, Salihu HM, Alexander GR. Mode of delivery and birth outcomes of macrosomic infants. Obstet Gynecol. 2004;24(6):622-9. [DOI:10.1080/01443610400007828] [PMID]
7. World Health O. Maternal anthropometry and pregnancy outcomes: a WHO collaborative study: World Health Organization; 1995.
8. Kapoor S, Bhasin P, Dhall M, Verma D, Gupta S, Tungdim MG. Maternal Predictors of Newborn Somatometrics. Int J Anthropol. 2012;2012:639345. [DOI:10.1155/2012/639345]
9. Ashraf S, Rahman AJ, Abbas K. Anthropometric measurements; newborns in Urban Karachi population. Prof Med J. 2012;19(2):150-4. [DOI:10.29309/TPMJ/2012.19.02.1994]
10. Coelho KS, Souza AId, Batista Filho M. Avaliação antropométrica do estado nutricional da gestante: visão retrospectiva e prospectiva. SciELO Brasil; 2002. p. 57-61. [DOI:10.1590/S1519-38292002000100009]
11. Guihard-Costa AM, Grangé G, Larroche JC, Papiernik E. Sexual Differences in Anthropometric Measurements in French Newborns. Biol Neonatal. 2007;72(3):156-64. [DOI:10.1159/000244479] [PMID]
12. Khatun S, Rahman M. Quality of antenatal care and its dose-response relationship with birth weight in a maternal and child health training institute in Bangladesh. J Biosoc Sci. 2008;40(3):321-37. [DOI:10.1017/S0021932007002532] [PMID]
13. Kayode-Adedeji B, Egharevba O, Omoregbee H. Prevalence of fetal macrosomia and neonatal complications in a Nigerian suburban hospital: a five year study. J Pediatr Neonatal Individ Med. 2018;7(1):e070120-e.
14. Biratu AK, Wakgari N, Jikamo B. Magnitude of fetal macrosomia and its associated factors at public health institutions of Hawassa city, southern Ethiopia. BMC Res Notes. 2018;11(1):888. [DOI:10.1186/s13104-018-4005-2] [PMID] [PMCID]
15. Pedersen JF. Ultrasound evidence of sexual difference in fetal size in first trimester. Br Med J. 1980;281(6250):1253. [DOI:10.1136/bmj.281.6250.1253] [PMID] [PMCID]
16. Marsianto, Kusin JA, De With C. Birthweight distribution in a healthy urban population in Surabaya-Indonesia. Trop Geogr Med. 1989;41(2):146-50.
17. Olutekunbi OA, Solarin AU, Senbanjo IO, Disu EA, Njokanma OF. Skinfold Thickness Measurement in Term Nigerian Neonates: Establishing Reference Values. Int J Pediatr. 2018;2018:3624548. [DOI:10.1155/2018/3624548] [PMID] [PMCID]
18. Oladapo OT, Souza JP, Fawole B, Mugerwa K, Perdoná G, Alves D, et al. Progression of the first stage of spontaneous labour: a prospective cohort study in two sub-Saharan African countries. PLoS Med. 2018;15(1):e1002492. [DOI:10.1371/journal.pmed.1002492] [PMID] [PMCID]
19. Gary CF, Leveno KJ, Bloom SL, Hauth JC, Rouse DJ, Spong CY. Williams obstetrics. 23rd ed ed: New York; 2010.
20. Nigeria Population C. Nigeria demographic and health survey 2018. NPC, ICF; 2019.
21. World Health Organization-WHO. Obesity and Overweight. 2018. Available from: [https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight]
22. Olafimihan VI, Ariba AJ, Egunjobi A, Abiodun O. Maternal factors influencing birth weight of term babies among women who received antenatal care at a Nigerian voluntary agency health care facility. Int J Reprod Contracept Obstet Gynecol. 2020;9:4374-81. [DOI:10.18203/2320-1770.ijrcog20204783]
23. Goon DT, Toriola AL, Shaw BS, Akinyemi O. Estimating waist circumference from BMI in South African children. Sci Res Ess. 2011;6(15):104-3108.
24. Kenneth EU CU, Christian AO, Ezeonu PO, Obaje SG. Analyzing Trio-Anthropometric Predictors of Hypertension: Determining the Susceptibility of Blood Pressure to Sexual Dimorphism in Body Stature. Int J Hypertens. 2021;2021:5129302. [DOI:10.1155/2021/5129302] [PMID] [PMCID]
25. Taşdemir D, Karaman E, Yıldız A, Han A, Karaman Y, Talay H. The Effect of Obesity on Maternal and Fetal Outcomes in Term Pregnant Women: A Case-Control Study. Compr Med. 2015;7(2):73-8. [DOI:10.5222/iksst.2015.073]
26. Ejike CECC, Ijeh II. Obesity in young-adult Nigerians: variations in prevalence determined by anthropometry and bioelectrical impedance analysis, and the development of % body fat prediction equations. Int Arch Med. 2012;5(1):22. [DOI:10.1186/1755-7682-5-22] [PMID] [PMCID]
27. Swainson MG, Batterham AM, Tsakirides C, Rutherford ZH, Hind K. Prediction of whole-body fat percentage and visceral adipose tissue mass from five anthropometric variables. PloS One. 2017;12(5):e0177175. [DOI:10.1371/journal.pone.0177175] [PMID] [PMCID]
28. Rustagi N, Prasuna JG, Taneja DK. Anthropometric surrogates for screening of low birth weight newborns: a community-based study. Asia-Pac J Public Health. 2012;24(2):343-51. [DOI:10.1177/1010539510384717] [PMID]
29. Sajjadian N, Shajari H, Rahimi F, Jahadi R, Barakat MG. Anthropometric measurements at birth as predictor of low birth weight. Health. 2011;3(12):752-6. [DOI:10.4236/health.2011.312125]
30. Ugwa EA. Maternal anthropometric characteristics as determinants of birth weight in North-West Nigeria: A prospective study. J Matern Fetal Neonatal Med. 2014;11(1):403-6. [DOI:10.4103/0331-8540.130151]
31. Shittu AS, Kuti O, Orji EO, Makinde NO, Ogunniy SO, Ayoola OO, et al. Clinical versus sonographic estimation of foetal weight in southwest Nigeria. J Health Popul Nutr. 2007;25(1):14-23.
32. Cheng ME, Chew PT, Ratnam SS. Birth weight distribution of Singapore Chinese, Malay and Indian infants from 34 weeks to 42 weeks gestation. BJOG: Int J Obstet Gynaecol. 1972;79(2):149-53. [DOI:10.1111/j.1471-0528.1972.tb15770.x] [PMID]
33. Mosha TCE, Philemon N. Factors influencing pregnancy outcomes in Morogoro Municipality, Tanzania. Tanzan J Health Res. 2010;12(4):243-51. [DOI:10.4314/thrb.v12i4.51795]
34. Mohanty C, Prasad R, Srikanth Reddy A, Ghosh JK, Singh TB, Das BK. Maternal Anthropometry as Predictors of Low Birth Weight. J Trop Pediatr. 2006;52(1):24-9. [DOI:10.1093/tropej/fmi059] [PMID]
35. Mutihir JT, Pam SD. Anthropometric and other assessment indices of the newborn in Jos, Nigeria. Ann Afr Med. 2006;5(4):192-6.
36. Osuhor PC, Ibrahim M. Birthweights in Katsina, Northern Nigeria. J Trop Pediatr. 1986;32(4):200-2. [DOI:10.1093/tropej/32.4.200] [PMID]
37. Li Y-M, Chang T-K. Maternal Demographic and Psychosocial Factors Associated with Low Birth Weight in Eastern Taiwan. Kaohsiung J Med Sci. 2005;21(11):502-10. [DOI:10.1016/S1607-551X(09)70158-5] [PMID]
38. Tayeh GA, Papazian T, Hatoum I. Effect of weight gain during pregnancy on anthropometric measures of the newborn and gestational and neonatal complications: retrospective study on 1,000 Lebanese women admitted at Hôtel-Dieu de France university hospital. Obstet Gynecol Int J. 2019;10(2):71-8. [DOI:10.15406/ogij.2019.10.00417]
39. Ng S-K, Olog A, Spinks AB, Cameron CM, Searle J, McClure RJ. Risk factors and obstetric complications of large for gestational age births with adjustments for community effects: results from a new cohort study. BMC Public Health. 2010;10(1):1-10. [DOI:10.1186/1471-2458-10-460] [PMID] [PMCID]
40. Fukuda S, Tanaka Y, Harada K, Saruwatari A, Kitaoka K, Odani K, et al. Maternal body mass index correlates with the neonatal physique of male infants. Tohoku J Exp Med. 2015;237(1):69-75. [DOI:10.1620/tjem.237.69] [PMID]
41. FukUda S, TanakA Y, Harada K, Saruwatari A, KitaokA K, Odani K, et al. Male infants born to older pregnant women are affected by maternal physique at the beginning of the pregnancy through birth until 18 months of age. J Nutr Sci Vitaminol. 2019;65(2):123-31. [DOI:10.3177/jnsv.65.123] [PMID]
42. Siggelkow W, Boehm D, Skala C, Grosslercher M, Schmidt M, Koelbl H. The influence of macrosomia on the duration of labor, the mode of delivery and intrapartum complications. Arch Gynecol Obstet. 2008;278:547-53. [DOI:10.1007/s00404-008-0630-7] [PMID]
43. Ehrenstein V. Association of Apgar scores with death and neurologic disability. Clin Epidemiol. 2009;1(null):45-53. [DOI:10.2147/CLEP.S4782] [PMID] [PMCID]
44. Hegyi T, Carbone T, Anwar M, Ostfeld B, Hiatt M, Koons A, et al. The Apgar Score and Its Components in the Preterm Infant. Pediatrics. 1998;101(1):77-81. [DOI:10.1542/peds.101.1.77] [PMID]
45. Mehari MA, Maeruf H, Robles CC, Woldemariam S, Adhena T, Mulugeta M, et al. Advanced maternal age pregnancy and its adverse obstetrical and perinatal outcomes in Ayder comprehensive specialized hospital, Northern Ethiopia, 2017: a comparative cross-sectional study. BMC Pregnancy Childbirth. 2020;20(1):60. [DOI:10.1186/s12884-020-2740-6] [PMID] [PMCID]