Pre-conceptive factors on the birth ponderal index / 中华流行病学杂志

<p><b>OBJECTIVE</b>To analyze the pre-conceptive factors on birth ponderal index (PI).</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>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.</p>

Changes in blood pressure and related determinants before and during normal pregnancy / 中华流行病学杂志

<p><b>OBJECTIVE</b>To study the longitudinal changes of blood pressure (BP) and its related determinants before and during normal pregnancy.</p><p><b>METHODS</b>14 townships were randomly selected by cluster random sampling method from 37 townships in Liuyang city, Hunan province. Subjects are all women at childbearing age in these 14 townships registered from April 2008 to December 2011. When the subjects visited to the local maternity and child-care agencies for pre-marital check, they were face-to-face interviewed and asked to fill out the questionnaire and finish the medical examination. Following-up program was carried out until delivery, with BP and other pregnancy information checked and collected. Analysis on variance of data regarding repeated measurements were used to investigate the changes of BP and related determinants.</p><p><b>RESULTS</b>A total of 611 cases with complete data were recruited, after excluding 41 cases who were diagnosed as pregnancy-induced hypertension. Finally, data on 570 healthy women with singleton pregnancies was analyzed. Systolic blood pressure (SBP) at pre-pregnancy, first trimester, second trimester and third trimester were (109.9 ± 12.9) mm Hg, (100.6 ± 9.6) mm Hg, (102.6 ± 10.1) mm Hg, (107.8 ± 10.9) mm Hg, respectively while the diastolic blood pressure (DBP) of pre-pregnancy, first trimester, second trimester and third trimester were (71.1 ± 9.0) mm Hg, (64.3 ± 6.6) mm Hg, (65.1 ± 6.8) mm Hg, (68.3 ± 8.1) mm Hg, respectively. The pre-pregnancy BP was lower than the three periods after pregnancy. BP of the third trimester was higher than that of the ones at first or second trimesters, with the difference statistically significant. SBP and DBP both indicated that there were statistically significant changes in the four periods and the linear trend test showed statistically significant. Pre-pregnancy BMI, pre-pregnancy waist circumference and annual per capita income were determinants which affecting the changes of BP. Higher pre-pregnancy body mass index (BMI), wider pre-pregnancy waist circumference and higher annual per capita income were associated with higher BP, while annual per capita income mainly affecting the pre-pregnancy BP.</p><p><b>CONCLUSION</b>BP of the three periods after pregnancy were lower than that of pre-pregnancy. BP of the third trimester was higher than both the first and second trimesters'. Pre-pregnancy BMI, pre-pregnancy waist circumference and annual per capita income were determinants which affecting the changes of BP.</p>