[Pre-conceptive factors on the birth ponderal index].
OBJECTIVE
To analyze the pre-conceptive factors on birth ponderal index (PI).


METHODS
Fourteen towns were selected randomly from the 37 towns of Liuyang county, Hunan province, through cluster sampling in a prospective cohort study. Information was collected on all the women registered at the Maternity and Child Care Departments, and were planning to give birth in the coming year plus willing to receive a blood test and then followed-up until delivery. Single factor analysis would involve chi-square test and correlation analysis, while the multiple-factor analysis would adopt binary logistic regression method.


RESULTS
A total of 1368 women were recruited in the cohort and 611 of them had a delivery of one child. Means of birth weight, birth length, and birth PI were (3.26 ± 0.43) kg, (50 ± 0.46) cm and 26.08 ± 3.43, respectively. Data from the multiple stepwise regression analysis showed that income (OR = 6.920, 95%CI: 1.089 - 43.974) and cortisone levels (OR = 5.121, 95%CI: 0.886 - 29.611) were related to low PI, while LDL-C (OR = 3.736, 95%CI: 0.848 - 16.461), waistline (OR = 6.846, 95%CI: 1.441 - 32.532), education (OR = 0.169, 95%CI: 0.029 - 0.995), and insulin (OR = 0.141, 95%CI: 0.016 - 1.277) were related to high PI.


CONCLUSIONS
Birth PI was associated with income, waistline, education, insulin, cortisone, and LDL-C. Before conception, women should go through necessary tests and keep a good physical condition to reduce their neonates of having abnormal PI.
School of Public Health, Central South University, Changsha 410008, China.
Chang
C
Cai
Shu-jin
SJ
Zhou
Shi-wu
SW
Wen
Ya-wei
YW
Guo
Hong-zhuan
HZ
Tan
Sha-ya
SY
Wang
Mei-ling
ML
Luo
Li
L
Hu
Yue
Y
He
Yi
Y
Liu
Lin
L
Shen
D000293:Adolescent; D000328:Adult; D001724:Birth Weight; D015992:Body Mass Index; D015331:Cohort Studies; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D016015:Logistic Models; D011247:Pregnancy; D011446:Prospective Studies