...
首页> 外文期刊>American journal of men’s health. >Undernutrition among Indian men: a study based on NFHS-3.
【24h】

Undernutrition among Indian men: a study based on NFHS-3.

机译:印度男性营养不良:一项基于NFHS-3的研究。

获取原文
获取原文并翻译 | 示例
           

摘要

The objective of this study was to evaluate zonal and state-wise prevalence and risk factors of undernutrition among Indian men in the age-group of 15 to 54 years based on sampled data of 74,369 respondents from the National Family Health Survey-3. A common anthropometric measure, body mass index, is used to determine the prevalence as it is considered to be a good measure of undernutrition. Overall, 28.6% (SE=0.17%) of Indian men are classified as underweight, and 52.5% (SE=0.62%) of the younger age-group (15-19 years) are underweight. The highest prevalence of underweight men in Indian states is observed in Tripura (39.8%; SE=1.85%), followed by Rajasthan (39.3%; SE=1.28%), Chhattisgarh (37.2%; SE=1.3%), and Gujarat (35.7%; SE=1.3%). The highest and lowest prevalence among zones are reported for central (34.5%; SE=0.39%) and northeast (18%; SE=0.34%) zones, respectively. The bivariate analysis using chi-square test concludes the significant association (p<.001) between the body mass index groups and each of the explanatory variable. Significant difference (p≤.002) is reported in the mean heights of underweight and non-underweight men among four out of six zones of India. From multivariate logistic regression analysis, we observed that for India as a whole, men with no education, low/medium standard of living, and the younger age-group (15-19 years) have significantly (p<.001) higher chances of being underweight. We also observed similar results for many Indian states at different significance levels. In conclusion, the distribution of underweight in India remains segregated by socioeconomic status.
机译:这项研究的目的是根据全国家庭健康调查3的74,369名受访者的抽样数据,评估15至54岁年龄段的印度男性的地域性和州级流行率以及营养不良的危险因素。普遍的人体测量指标,即体重指数,被用来确定患病率,因为它被认为是营养不足的良好指标。总体而言,印度男性中有28.6%(SE = 0.17%)被归为体重过轻,而较年轻年龄段(15-19岁)中有52.5%(SE = 0.62%)被归为体重过轻。印度各州体重过轻的男性患病率最高,分别为Tripura(39.8%; SE = 1.85%),其次是拉贾斯坦邦(39.3%; SE = 1.28%),恰蒂斯加尔邦(37.2%; SE = 1.3%)和古吉拉特邦( 35.7%; SE = 1.3%)。据报道,中部(34.5%; SE = 0.39%)和东北(18%; SE = 0.34%)区域的患病率最高和最低。使用卡方检验的双变量分析得出了体重指数组与每个解释变量之间的显着关联(p <.001)。据报道,印度六个地区中有四个地区的体重不足和非体重不足男性的平均身高存在显着差异(p≤.002)。通过多因素logistic回归分析,我们观察到整个印度,未受过教育,生活中/低水平以及年龄较小的年龄段(15-19岁)的男性有较高的机会(p <.001)。体重不足。我们还在不同显着性水平的许多印度邦观察到了相似的结果。总之,印度的体重不足分布仍按社会经济状况加以区分。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号