title: [Birth weight distribution among premature infants and related social factors].
abstract: OBJECTIVE
  To understand the distribution of birth weight among premature infants and the associated social factors.
  
  
  METHODS
  The study population consisted of 97 537 women who delivered singleton live birth of 20 to 41 gestational weeks in 4 counties/cities, Jiangsu and Zhejiang provinces, China from 1995 to 2000. Chi-square test was employed to test the difference of proportions between respective groups. One- way ANOVA was used to test the differences regarding the mean of gestational weeks at the first prenatal visit and the mean of prenatal visits between the two groups. Multivariate logistic regression was conducted to examine the factors associated with premature birth.
  
  
  RESULTS
  Women aged 35 years had higher (8.8%) premature incidence than those aged less than 24 years (5.6%), 25 - 29 years (4.6%), or 30 - 34 years (4.5%, P < 0.001). Women with height less than 149 cm had higher (6.8%) premature incidence than those with height taller than 150 cm (5.0%). Women whose BMI were at least 28 and 24 - 28 had higher (5.5%, 5.5%) premature incidences than those whose BMI were 18.5 - 24.0 (5.0%), < 18.5 (4.6%, P < 0.001). The incidence of premature birth was 6.0% among women without previous pregnancy, higher than that among those women with 4 times of pregnancies (5.7%), 2 times of pregnancies (4.3%), and 3 times of pregnancies (4.0%). Parous women with at least two deliveries had higher (9.3%) premature incidence than the primiparous women (5.2%) and whose women with only one delivery (4.5%, P < 0.001). Women who received early prenatal care had lower 4.7% premature incidence than those who did not receive the service (6.1%). The mean times of prenatal visits among women with premature births was 8.53, less than that of those with full term delivery (10.97). Women with less than four times of prenatal visit had higher (18.9%) premature incidence than those with at least five prenatal visits (4.9%). Multivariate logistic regression showed that premature delivery risk was associated with age, height, BMI, gravidity, parity, early prenatal care, the mean of gestational weeks at first prenatal visit and the mean number of prenatal visits etc.
  
  
  CONCLUSIONS
  Premature delivery risk was associated with factors as age, height, BMI, gravidity, parity, early prenatal care, the mean of gestational weeks at first prenatal visit, the mean number of prenatal visits etc.
authors.affiliation: Xinxiang Medical University, Xinxiang 453003, China.
authors.forename: Li-jun
authors.initials: LJ
authors.lastname: Guo
authors.forename: Rong-wei
authors.initials: RW
authors.lastname: Ye
authors.forename: Gui-xia
authors.initials: GX
authors.lastname: Wang
authors.forename: Juan
authors.initials: J
authors.lastname: Wang
authors.forename: Zhi-wen
authors.initials: ZW
authors.lastname: Li
authors.forename: Ai-guo
authors.initials: AG
authors.lastname: Ren
mesh_terms: D000328:Adult; D001724:Birth Weight; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D015994:Incidence; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D007234:Infant, Premature; D007235:Infant, Premature, Diseases / Q000453:epidemiology; D011247:Pregnancy; D012307:Risk Factors; D012959:Socioeconomic Factors