印度西孟加拉邦豪拉市女大学生营养状况与社会人口学变量的关系

Bhanabi Das, Priyankar Kanrar, Monali Goswami
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摘要

年轻成年女孩的营养状况非常重要,因为她们是未来的母亲,与前几年的成长相比,她们的营养需求大大增加。本研究旨在评估西孟加拉邦豪拉市年轻成年女大学生的营养状况,并寻找社会人口统计学变量与营养状况之间的联系。这项研究包括140名年龄在18到20岁之间的女大学生。社会人口学数据采用访谈法收集,采用预先测试的标准结构化时间表。采用标准方案测量人体测量数据。为了比较人体测量数据,使用了疾病控制和预防中心(CDC)的生长图。体重、中上臂围(MUAC)、腰围(WC)、臀围(HC)、髂上皮褶、体重指数(BMI)、腰臀比(WHR)、腰高比(WHtR)等人体测量指标均呈年龄组增加趋势。以BMI为指标,25.7%的女大学生体重不足(BMI < 18.5 kg/m2),其中慢性能量缺乏(CED)一级(13.6%)、慢性能量缺乏(CED)二级(7.9%)和慢性能量缺乏(CED)三级(4.3%)。年龄BMI(< 5百分位)和瘦度BMI按年龄有显著差异(p < 0.01)。同样,年龄身高(< 5百分位)或发育迟缓与父亲的受教育程度显著相关(p < 0.05),体重不足(BMI < 18.5 kg/m2)与家庭月收入显著相关(p < 0.05)。线性回归结果表明,社会人口学变量和饮食习惯是各种人体测量指标的显著预测因子。家庭月收入和每周吃快餐频率是BMI和MUAC的显著预测因子,年龄和母亲受教育程度是WHR的显著预测因子,家庭月收入和年龄是WHtR的显著预测因子。因此,本研究为未来母亲对抗营养不良影响的进一步研究提供了基础,并为这一弱势群体提供了有效的营养干预策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of sociodemographic variables with nutritional status among the college girls of Howrah, West Bengal, India
Nutritional status of young adult girls is very essential since they are future mothers, and their nutritional requirements increase tremendously compared to the preceding years of growth. The present study was an endeavour to assess the nutritional status and to find an association between sociodemographic variables and nutritional status among young adult college girls of Howrah, West Bengal. The study included a total of 140 college girls aged between 18 to 20 years. The sociodemographic data were collected by the interview method using a pretested standard structured schedule. The anthropometric data were measured by the standard protocol. For the comparison of anthropometric data, growth charts of the Centre for Disease Control and Prevention (CDC) were used. The anthropometric measures like weight, mid upper arm circumference (MUAC), waist circumference (WC), hip circumference (HC), suprailiac skinfold, body mass index (BMI), waist-hip ratio (WHR) and waistheight ratio (WHtR) show an increasing trend according to age groups. Based on BMI, 25.7% of the young adult college girls were found to be underweight (BMI < 18.5 kg/m2), which includes chronic energy deficiency (CED) grade I (13.6%), chronic energy deficiency (CED) grade II (7.9%) and chronic energy deficiency (CED) grade III (4.3%). BMI for age (< 5th percentile) or thinness showed a significant difference (p < 0.01) according to age. Similarly, stature for age (< 5th percentile) or stunting shows a significant association (p < 0.05) with father’s education, and underweight (BMI < 18.5 kg/m2) shows a significant association (p < 0.05) with monthly family household income. The results of linear regression show that sociodemographic variables and food habits were significant predictors of various anthropometric measures. Monthly family income and frequency of eating fast food per week were significant predictors of BMI and MUAC, and the age of the participant and the education of the mother were significant predictors of WHR, and family income per month and the age of the participant were significant predictors of WHtR. Thus, the present study provides a podium for further studies to combat the effect of undernutrition among future mothers and instigates effective nutritional intervention strategies entailing this vulnerable group.
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