Evaluation of adjustment methods used to determine prevalence of low birth-weight babies at a rural hospital in Andhra Pradesh, India.
Evaluation of adjustment methods used to determine prevalence of low birth-weight babies at a rural hospital in Andhra Pradesh, India.
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DOI：
10.4103/0019-557x.119828
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发表时间：
2013-07-01
影响因子：
1.7
通讯作者：
Reddy, P Sudhakar
中科院分区：
文献类型：
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作者：
Rekha, C;Whelan, R Margaret;Reddy, P Sudhakar
准确报告低出生体重（LBW）患病率对于监测人口健康非常重要。由于数据堆积在 2.5 公斤，低体重在发展中国家经常被低估。联合国儿童基金会使用 25% 的平均调整系数将体重恰好为 2.5 公斤的婴儿重新分类为低出生体重类别。从2009年10月到2010年2月，我们对印度安得拉邦一家乡村医院的859名连续活产婴儿进行了称重，使用模拟和数字量表来评估调整因子的相对有效性。在模拟体重秤（13.4%）和数字体重秤（2.2%）上体重正好达到 2.5 公斤的婴儿数量显着增加，显示出堆积现象。数字方法的 LBW 百分比 (29.5%) 显着高于模拟方法 (23%) 和调整因素 (26.4%)。调整出生体重数据的传统方法低估了低出生体重的患病率。发展中国家需要灵敏的数字称重机或更好的调整方法来监测低体重。
Accurate reporting of prevalence of low birth weight (LBW) is important for monitoring health of a population. LBW is often underestimated in developing countries due to heaping of the data at 2.5 kg. UNICEF uses an average adjustment factor of 25% to re-classify babies listed as exactly 2.5 kg into the LBW category. From October 2009 to February 2010, we weighed 859 consecutive live births at a rural hospital in Andhra Pradesh, India, using analog and digital scales to evaluate the relative validity of the adjustment factor. Significantly more babies weighed exactly 2.5 kg on analog (13.4%) versus digital (2.2%) scales, showing heaping. Percentage of LBW by digital method (29.5%) was significantly higher compared to the analog method (23%) and with adjustment factors (26.4%). Conventional methods of adjusting birth-weight data underestimate the prevalence of LBW. Sensitive digital weighing machines or better adjustment methods are needed to monitor LBW in developing countries.