Jude Chukwuemeka Kenechukwu, Chukwunedum Agozie Ubesie, Egbuna Kunle Obidike
Department of Paediatrics, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu.
Department of Paediatrics, College of Medicine, University of Nigeria, Enugu Campus.
Afr Health Sci. 2019 Dec;19(4):3078-3084. doi: 10.4314/ahs.v19i4.29.
Malnutrition (under and overnutrition) presents significant threats to child health. The co-existence of under and overnutrition in a population is increasingly being described in the literature.
To identify the prevalence of malnutrition among under-five children in Enugu metropolis.
A cross-sectional study of pre-primary school children conducted from January to May 2016. using stratified sampling technique. Caregiver-administered questionnaire was used to obtain relevant information. Weights and heights were measured using a standard weight scale and stadiometer/ length mat respectively. Wasting, stunting, overweight and obesity were determined based on the recommended WHO Growth Standard. Data analysis was done with SPSS version 20.0. The associations between nutritional status on one hand, and categorical variables such as age grouping, sex, socio-economic status, and maternal education were determined using chi square. P-value < 0.05 were reported as statistically significant.
Eighteen (2.4%) and 26 (3.5%) subjects were wasted and stunted respectively. Eleven (1.5%) subjects were overweight while another 11(1.5%) subjects were obese. Risk factors for undernutrition were maternal education and low socioeconomic class while risk factor for overnutrition was upper socioeconomic class..
There is a low rate of malnutrition in the area of study. However, sustained efforts must continue to prevent further rise and possibly eliminate the scourge of malnutrition.
营养不良(包括营养不足和营养过剩)对儿童健康构成重大威胁。文献中越来越多地描述了人群中营养不足和营养过剩并存的情况。
确定埃努古市五岁以下儿童营养不良的患病率。
于2016年1月至5月对学前儿童进行横断面研究,采用分层抽样技术。使用由照顾者填写的问卷获取相关信息。分别使用标准体重秤和身高计/身长测量仪测量体重和身高。根据世界卫生组织推荐的生长标准确定消瘦、发育迟缓、超重和肥胖情况。使用SPSS 20.0版进行数据分析。使用卡方检验确定营养状况与年龄分组、性别、社会经济地位和母亲教育程度等分类变量之间的关联。P值<0.05被报告为具有统计学意义。
分别有18名(2.4%)和26名(3.5%)受试者消瘦和发育迟缓。11名(1.5%)受试者超重,另有11名(1.5%)受试者肥胖。营养不足的危险因素是母亲教育程度和低社会经济阶层,而营养过剩的危险因素是高社会经济阶层。
研究区域的营养不良率较低。然而,必须持续努力以防止其进一步上升,并可能消除营养不良的祸害。