Khatun Selina, Rahman Mahmudur
Institute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.
Bangladesh Med Res Counc Bull. 2008 Dec;34(3):81-6. doi: 10.3329/bmrcb.v34i3.1857.
Though the health situation of Bangladesh has improved substantially over the years, the low birth weight (LBW) rate is still pretty high. The principal focus of this study was to ascertain the significant determinants for LBW. One hundred and eight LBW babies were compared with 357 normal birth weight babies. Out of 20 possible risk variables analyzed, 9 were found significant when studied separately. Mother's age, education, occupation, yearly income, gravid status, gestational age at first visit, number of antenatal care visit attended, quality of antenatal care received and pre-delivery body mass index had significantly associated with the incidence of LBW. Using the stepwise logistic regression, mother's age (p < 0.001), education (p < 0.02), number of antenatal care visit attended (p < 0.001, OR = 29.386) and yearly income (p < 0.001, OR = 3.379) created the best model, which predicted 86.1% and 94.4% of the LBW babies and normal birth weight babies respectively. Maternal age, educational level and economic status play an important role in the incidence of low birth weight.
尽管多年来孟加拉国的健康状况有了显著改善，但低体重出生（LBW）率仍然相当高。本研究的主要重点是确定低体重出生的重要决定因素。将108名低体重出生婴儿与357名正常出生体重婴儿进行了比较。在分析的20个可能的风险变量中，单独研究时发现9个具有显著性。母亲的年龄、教育程度、职业、年收入、妊娠状态、首次就诊时的孕周、产前检查就诊次数、所接受的产前检查质量以及分娩前体重指数与低体重出生的发生率显著相关。使用逐步逻辑回归分析，母亲的年龄（p < 0.001）、教育程度（p < 0.02）、产前检查就诊次数（p < 0.001，OR = 29.386）和年收入（p < 0.001，OR = 3.379）构建了最佳模型，该模型分别预测了86.1%的低体重出生婴儿和94.4%的正常出生体重婴儿。母亲的年龄、教育水平和经济状况在低体重出生的发生率中起着重要作用。
