loading page

Percentile of Fetal Growth Between Last Menstrual Period (LMP) and 3rd Trimester Ultrasound Pregnancy On Ethnic Minangkabau
  • +1
  • Yusrawati Yusrawati,
  • Serudji Joserizal,
  • Bobby Utama,
  • Puspita Sari
Yusrawati Yusrawati
Andalas University Faculty of Medicine

Corresponding Author:[email protected]

Author Profile
Serudji Joserizal
Andalas University Faculty of Medicine
Author Profile
Bobby Utama
Andalas University Faculty of Medicine
Author Profile
Puspita Sari
Andalas University Faculty of Medicine
Author Profile

Abstract

BACKGROUND: Fetal growth is a vital determinant of quality of life at birth and is the most important factor for perinatal morbidity and mortality. OBJECTIVE: this study is expected to obtain normal data on fetal growth depending on biometric variations based on Minangkabau ethnic. DESIGN: Analytical study with cross sectional design SETTING Fetomaternal clinic Hospital M. Djamil Padang and Network Hospital in the Department of Obstetrics and Gynecology Faculty of Medicine Andalas University POPULATION OR SAMPLE: Pregnant women who came to check their pregnancy at the Fetomaternal clinic at M. Djamil Hospital Padang and a network hospital METHODS: Analytical study MAIN OUTCOME MEASURES: The multivariate analysis with linear regression, a significant value that the simultaneous measurement of biometric variables (BPD, HC, AC, FL, HL) on the LMP RESULTS: 520 pregnant women who came to check at 3rd trimester (28-40 weeks by US). The characteristics of the research subjects were the average age of pregnant women ranging from 21-39 years with the average was 28.49 ± 4.5 years, parity 1 as many as 203 people (46,7%), and the average level of education at senior high school as many as 431 people (82,9%), and there were 123 working pregnant women (42,5%). Based on the Pearson analysis, Correlation between of each variable BPD, HC, AC, FL, and HL to LMP, there is the strongest correlation LMP and AC, which is r = 0,799 and the weakest correlation LMP and HL is r = 0,162, for all variables is very significant.