Two-Way Multivariate Analysis of Variance (MANOVA) of the Effect of Parity on Body Mass Index and Body Surface Area of Pregnant Women

Main Article Content

Inamete, Emem Ndah Happiness
Biu, O. Emmanuel

Abstract

Aims: In the determination of the effect of Parity on Body Mass Index (BMI) and Body Surface Area (BSA).

Study Design: Pregnant Women Body Mass Index (BMI) and Body Surface Area (BSA) measurements, Number were used in this study.

Place and Duration of Study: The data on the various measurements on pregnant women were collected from the Radiology department of University of Port Harcourt Teaching Hospital.

Methodology: The Two-way Classification Multivariate Analysis of Variance (MANOVA) was employed to obtain the MANOVA test statistics for Wilk’s, Pillai, Lawley-Hotelling and Roy’s Largest Root.

Results: Results showed that the MANOVA test statistics for Wilk’s statistics showed no significant effect for the Parity level categorized on BMI (Factor A) and the Parity level categorized on BMI and BSA (Factor AB), while Lawley-Hotelling Root test showed no significant effect for the effect of the Parity level categorized on BSA (Factor B). However, two MANOVA test statistics (Pillai and Roy’s Largest Root statistics) gave significant effect on BMI or BSA or both (or all Factors A, B and AB). These results confirmed that the effect of the Parity level has a significant effect on BMI or BSA or both in terms of the categories (normal, overweight and obese). These results are in agreement with known results by medical practitioners.

Keywords:
Multivariate Analysis of Variance (MANOVA), parity level, two-way classification, body mass index, body surface area.

Article Details

How to Cite
Happiness, I. E. N., & Emmanuel, B. O. (2020). Two-Way Multivariate Analysis of Variance (MANOVA) of the Effect of Parity on Body Mass Index and Body Surface Area of Pregnant Women. Asian Journal of Physical and Chemical Sciences, 8(3), 38-48. https://doi.org/10.9734/ajopacs/2020/v8i330120
Section
Original Research Article

References

Bulkwalter JG, Stanczy KFZ, Mccleary CA, Bluestein BW, Buckwalter DK, Rankin KP, Chang L, Godwin TM. Pregnancy, the postpartum and steroid hormones: Effects on cognition and mood. Psychoneuro Endocrinology. 1999;24:69–84.

Pearson RM, Lightman SL, Evans J. Emotional sensitivity of motherhood: Late pregnancy is associated with enhanced accuracy to encode emotional faces, hormones and behavior. 2009;56:557-563.

Droyvold WB, Modthjellk H, Nilen TL, Holmer J. Change in body mass index and its impact on blood pressure: A prospective population study. Norway International Journal of Obesity. 2005;29(6):650-655.

Hazene Ozcam, Gonul Cimen, Nil Atakul, Cihangir Uzuncakmak, Ahmet Guldas, Ozgu Kesmezacar. Effect of parity, maternal body mass index, maternal weight gain during pregnancy, stage of labour and amniotic fluid volume on ultrasonographic estimation of fetal weight. Istanbul Med J. 2014;16:105–110.

Schmitt B, Lisa AM, Galea A. Depression during pregnancy and postpartum: Contribution of stress and ovarian hormones. Progress in Neuro-psychopharmacolgy and Biological Psychiatry. 2007;34(5):766–777.

Huseyin Cengis, Serdar Yalvac, Ali Yavuzcan, Omer Kandemir, Ali Haberal. Prediction of successful induction of labour with dino prostone in a homogeneous group of patients. SAJOG. 2007;18:1–19.

Girling M. Physiology of pregnancy. 2004;5(7):215-218.

Barker E. Fetal growth and adult disease; 1992. Available:https://doi.org/10.1111/j.14710528.1992.tb13719.xCitations:105

Franklin. Hemodynamic patterns of age-related changes in blood pressure. 1997;96:308–315.

Osrin D, Costello AML. Maternal nutrition and fetal growth: Practical issues in international health. Semin. Neonatol. 2000;5:209-219.

Katsantonis IG. Investigation of the impact of school climate and teachers’ self-efficacy on job satisfaction: A cross-cultural approach. European Journal of Investigation in Health Psychology and Education. 2020;10(1): 119-133.

Kline BR. Principles and practice of structural equation modeling, 4th Ed.; Guilford Press: New York, NY, USA; 2016.

Anderson ER, Hair FJ, Black CW, Babin JB. Multivariate data analysis, 7th Ed. Pearson: Harlow, UK; 2014.

Zieger L, Sims S, Jerrim J. Comparing teachers’ job satisfaction across countries: A multiple-pairwise measurement invariance approach. Educ. Meas. Issues Pract. 2019;38:75–85.