Kurup Padmamohan J, Khandekar Rajiv
Department of Health Affairs, Directorate of Health Services, Ministry of Health, PO Box 2, Postal Code 318, Rustaq, Oman.
Saudi Med J. 2004 Aug;25(8):1091-6.
To determine the risk factors of protein energy malnourishment (PEM) among 0-5 year old children in South Batinah region, Oman.
at are maintained at the primary health institutions of the study area. This case control study was conducted between March 2003 and May 2003. The information of their birth weight, birth interval, birth order, twin pregnancy, history of underweight and death among siblings, presence of congenital anomalies, breast feeding status, social problem and other ail
The median birth order among PEM cases was significantly higher compared to the children without PEM (Mann Whitney test; p=0.029). Using multivariate logistic regression technique, we found that low birth weight (odds ratio [OR] 2.32; confidence intervals [CI] 95% 1.61-3.33), higher birth order (OR 1.04; CI 95% 1.01-1.08) and sibling with history of under weight [OR 1.79 (CI 95% 0.97- 3.28)] were significant predictors of PEM.
It is possible to identify children with high-risk of PEM using information on birth weight, birth order and history of PEM in sibling. This non-anthropometric method can be used as an additional tool for monitoring growth of children and formulate preventive interventions.
确定阿曼南巴提奈地区0至5岁儿童蛋白质能量营养不良(PEM)的风险因素。
研究区域的初级卫生机构保存相关数据。本病例对照研究于2003年3月至2003年5月进行。记录他们的出生体重、出生间隔、出生顺序、双胎妊娠、兄弟姐妹中体重过轻和死亡的病史、先天性异常情况、母乳喂养状况、社会问题及其他疾病情况。
与无PEM的儿童相比,PEM病例的出生顺序中位数显著更高(曼-惠特尼检验;p = 0.029)。使用多变量逻辑回归技术,我们发现低出生体重(比值比[OR] 2.32;95%置信区间[CI] 1.61 - 3.33)、较高出生顺序(OR 1.04;CI 95% 1.01 - 1.08)以及有体重过轻病史的兄弟姐妹[OR 1.79(CI 95% 0.97 - 3.28)]是PEM的显著预测因素。
利用出生体重、出生顺序和兄弟姐妹中PEM病史的信息,有可能识别出PEM高风险儿童。这种非人体测量方法可作为监测儿童生长和制定预防干预措施的额外工具。