Sreeramareddy Chandrashekhar T, Ramakrishnareddy N, Subramaniam Mayoori
1Department of Population Medicine, Faculty of Medicine and Health Sciences,Universiti Tunku Abdul Rahman,Jalan Sungai Long,Bandar Sungai Long,Post code: 43000,Kajang,Cheras,Selangor,Malaysia.
2Department of Community Medicine,Bangalore Medical College and Research Institute,Bangalore,Karnataka,India.
Public Health Nutr. 2015 Nov;18(16):2906-14. doi: 10.1017/S1368980014002729. Epub 2014 Dec 1.
To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators.
Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.
A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.
Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.
Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) <-2), wasting (weight-for-height Z-score (WHZ) <-2) and underweight (weight-for-age Z-score (WAZ) <-2) were 41·6% (95% CI 38·9, 44·3%), 11·5% (95% CI 9·8, 13·2%) and 30·1% (95% CI 27·5, 32·8%), respectively. Prevalences of stunting, severe stunting (HAZ<-3) and underweight by level of household food insecurity were statistically significant (P<0·001). By multiple linear regression analyses and after adjustment for sociodemographic, child and environmental factors, household food access insecurity score was associated with HAZ (β=-0·02, P=0·01) and WAZ (β=-0·01, P=0·01) but was not associated with WHZ and BMI-for-age Z-score. A 10-point increase in household food access insecurity score was associated with a decrease in HAZ of 0·2 (95% CI 0·05, 0·39) and decrease in WAZ of 0·1 (95% CI 0·03, 0·27).
Our results from a nationally representative sample confirm the previously reported association of household food insecurity with stunting and underweight. Community nutrition interventions may use household food insecurity scales for identifying those households where children may be at risk of growth faltering.
研究家庭粮食不安全得分与儿童营养状况指标Z评分之间的关联。
基于人群的横断面调查,2011年尼泊尔人口与健康调查。
采用两阶段分层整群抽样设计选取11085户具有全国代表性的样本,对符合条件的男性和女性进行访谈。
在选取用于男性访谈的家庭子样本中,年龄在0至60个月的儿童(n = 2591)。
0至60个月儿童的中度和重度家庭粮食不安全患病率分别为23.2%和19.0%。发育迟缓(年龄别身高Z评分(HAZ)< -2)、消瘦(身高别体重Z评分(WHZ)< -2)和体重不足(年龄别体重Z评分(WAZ)< -2)的加权患病率分别为41.6%(95%可信区间38.9, 44.3%)、11.5%(95%可信区间9.8, 13.2%)和30.1%(95%可信区间27.5, 32.8%)。发育迟缓、重度发育迟缓(HAZ < -3)和体重不足的患病率按家庭粮食不安全程度分层具有统计学意义(P < 0.001)。通过多元线性回归分析并在调整社会人口学、儿童和环境因素后,家庭粮食获取不安全得分与HAZ(β = -0.02,P = 0.01)和WAZ(β = -0.01,P = 0.01)相关,但与WHZ和年龄别BMI Z评分无关。家庭粮食获取不安全得分增加10分与HAZ降低0.2(95%可信区间0.05, 0.39)和WAZ降低0.1(95%可信区间0.03, 0.27)相关。
我们来自具有全国代表性样本的研究结果证实了先前报道的家庭粮食不安全与发育迟缓和体重不足之间的关联。社区营养干预可使用家庭粮食不安全量表来识别那些儿童可能有生长发育迟缓风险的家庭。