ASSESSMENT OF THE VITAMIN A, C AND E LEVELS OF PREGNANT WOMEN ATTENDING ANTENATAL CLINIC IN EDO STATE CENTRAL SENATORIAL DISTRICT, EDO STATE, NIGERIA
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https://doi.org/10.61705/8sgnkc51Keywords:
VITAMIN A, VITAMIN C, PREGNANT WOMEN, Irrua, Edo StateAbstract
Pregnancy, also known as gestation, is the time during which one or more offspring develops inside a woman. The aim of the study is to evaluate the Vitamin C, A and E levels of pregnant women attending antenatal clinic in Edo State Central Senatorial District, Edo State, Nigeria. A total of one hundred (100) subjects was recruited for this study which will consists of fifty (50) pregnant women and fifty (50) non pregnant as control in Ekpoma. Subjects data such as name, age and gender was obtained and the age range for this was 18 to above. Blood was collected and put into Lithium Heparin tubes each for the three respective laboratories and vitamin C, A and E were analyzed spectrometrically using standard laboratory methods. The result reveals that the mean and S.D of the subject group of Vitamin E (mg/100ml) for non-pregnant women (control) was 1.37±0.49, while the mean and S.D for pregnant women (test) was 0.31±0.26. The mean and S.D of the subject group of Vitamin A (mg/dl) for non-pregnant women (control) was 302.89±132.40, while the mean and S.D for pregnant women (test) was 318.10±247.24. However, there is a non statistically significance variation (p ≥0.05) across the groups for Vitamin E (mg/100ml), while there is statistically significance variation (p≤ 0.05) across the Group for Vitamin C (mg/100ml) and Vitamin A (mg/dl) respectively. It is important to note that the specific reasons for the observed statistically significant increase in vitamin C and A levels in pregnant women compared to non-pregnant women may vary depending on the study design, population, and other factors. It is important to note that the specific reasons for the observed statistically significant variations in vitamin A, C, and E levels at different trimesters may vary depending on the study design, population characteristics, and other factors.
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