Biswas Sadaruddin, Bose Kaushik
Vidyasagar University, Department of Anthropology, Midnapore, India.
Coll Antropol. 2011 Dec;35(4):1017-22.
In developing countries including rural India, undernutrition among preschool children is one of the main barriers of the national development. However, there exists scanty information on the prevalence of underweight and stunting and their socio-demographic predictors among preschool children in India and West Bengal. The aim of the present study was to investigate the prevalence of underweight and stunting and the impact of two socio-demographic indicators, namely number of living rooms (NLR) and number of sibs (NS), on them among 1-5 year old Bengalee rural preschool children of Integrated Child Development Services (ICDS) Centres. This cross sectional study was undertaken at 30 randomly selected ICDS centre of Chapra Block, Nadia District, West Bengal, India. A total of 673 children, aged 1-5 years were studied. The overall (age and sex combined) rates of underweight and stunting were 54.40% and 39.20%, respectively. NLR was significantly associated with the prevalence of underweight (chi2 = 4.34, df = 1, p < 0.05) and stunting (chi2 = 8.98, df = 1, p < 0.01) among girls. Similarly, NS had a significant association with prevalence of underweight (chi2 = 10.29, df = 1, p < 0.001) and stunting (chi2 = 5.42, df = 1, p < 0.05) among girls. Girls with < 2 NLR had significant higher risk of being underweight (OR = 1.64, C.I = 1.30-2.62) or stunted (OR=2.23, C.I = 1.31-3.80) than those with > or = 2 NLR. Moreover, girls with > or = 3 NS had significant higher rate of underweight (OR = 2.03, CI = 1.32-3.146) or stunting (OR = 1.69, C.I = 1.09-2.63) than those with < 3 sibs. Logistic regression analyses also revealed that both NLR as well as NS were strong predictors of underweight (NLR: Wald = 4.30, p < 0.05; NS: Wald = 8.74, p < 0.001) and stunting (NLR: Wald = 10.17, p < 0.001; NS: Wald = 5.38, p < 0.05) among girls. Gender discrimination could be a likely cause for this sex difference in the impact of NRL and NS. Moreover, logistic regression were also undertaken with underweight and stunting status (yes/ no) as dependent variables and NLR and NS (combined) as independent variables to identify their effects, when considered together, on undernutrition. Results showed that NS had significant impact on underweight (Wald = 8.28, p < 0.001) rather than NLR among girls. Results also demonstrated that NLR had significant impact on stunting (Wald = 6.874, p < 0.01) rather than NS.
在包括印度农村地区在内的发展中国家,学龄前儿童营养不良是国家发展的主要障碍之一。然而,关于印度和西孟加拉邦学龄前儿童体重不足和发育迟缓的患病率及其社会人口学预测因素的信息却很少。本研究的目的是调查印度综合儿童发展服务(ICDS)中心1至5岁孟加拉农村学龄前儿童体重不足和发育迟缓的患病率,以及两个社会人口学指标,即客厅数量(NLR)和兄弟姐妹数量(NS)对其的影响。这项横断面研究在印度西孟加拉邦纳迪亚区查普拉街区随机选择的30个ICDS中心进行。共研究了673名1至5岁的儿童。总体(年龄和性别综合)体重不足率和发育迟缓率分别为54.40%和39.20%。在女孩中,NLR与体重不足患病率(卡方 = 4.34,自由度 = 1,p < 0.05)和发育迟缓患病率(卡方 = 8.98,自由度 = 1,p < 0.01)显著相关。同样,NS与女孩体重不足患病率(卡方 = 10.29,自由度 = 1,p < 0.001)和发育迟缓患病率(卡方 = 5.42,自由度 = 1,p < 0.05)显著相关。客厅数量少于2个的女孩体重不足(比值比 = 1.64,置信区间 = 1.30 - 2.62)或发育迟缓(比值比 = 2.23,置信区间 = 1.31 - 3.80)的风险显著高于客厅数量大于或等于2个的女孩。此外,兄弟姐妹数量大于或等于3个的女孩体重不足率(比值比 = 2.03,置信区间 = 1.32 - 3.146)或发育迟缓率(比值比 = 1.69,置信区间 = 1.09 - 2.63)显著高于兄弟姐妹数量少于3个的女孩。逻辑回归分析还显示,NLR和NS都是女孩体重不足(NLR: Wald = 4.30,p < 0.05;NS: Wald = 8.74,p < 0.001)和发育迟缓(NLR: Wald = 10.17,p < 0.001;NS: Wald = 5.38,p < 0.05)的有力预测因素。性别歧视可能是NRL和NS影响存在这种性别差异的一个可能原因。此外,还以体重不足和发育迟缓状况(是/否)作为因变量,NLR和NS(合并)作为自变量进行逻辑回归分析,以确定它们共同对营养不良的影响。结果显示,在女孩中,NS对体重不足有显著影响(Wald = 8.28,p < 0.001),而不是NLR。结果还表明NLR对发育迟缓有显著影响(Wald = 6.874,p < 0.01),而不是NS。