Sumon Imran Hossain, Hossain Moyazzem, Ar Salan Sifat, Kabir Mohammad Alamgir, Majumder Ajit Kumar
Department of Statistics Jahangirnagar University Savar, Dhaka Bangladesh.
Food Sci Nutr. 2023 Jun 9;11(9):5258-5269. doi: 10.1002/fsn3.3484. eCollection 2023 Sep.
In many underdeveloped and developing countries, epidemiological and nutritional transitions are leading to an increase in malnutrition, resulting in pediatric diseases and eventually deaths. Therefore, this study intents to determine the important factors of the presence of coexisting forms of malnutrition (CFM), i.e., pediatric undernutrition. This study used the latest Bangladesh Demographic and Health Survey (BDHS)-2017/18 dataset consisting of 7127 under-five children. The logistic regression model has been utilized to gain explicit and in-depth knowledge of the relationship between the presence of pediatric undernutrition with socioeconomic and demographic factors. Findings revealed that about 31%, 22%, and 8% suffered from stunted, underweight, and wasted, respectively. The prevalence of stunted, underweighted, wasted, and CFM among children in the Sylhet division is higher than in any other region. A child of a secondary-level completed mother is 27.6% (OR: 0.724, 95% CI: 0.58-0.90) less likely to suffer from undernutrition than a child of an uneducated mother. The rate of undernutrition of children was less among children of highly educated parents. Age, birth order of the child, twin status, mother's age, body mass index (BMI), working status, parental educational qualification, cooking fuel, toilet facility, region, residence, and wealth index are important for determining the nutritional status of a child. The authors believe that the study findings will be helpful to the policymakers to take proper actions for achieving the sustainable development goal (SDGs) by reducing pediatric undernutrition in Bangladesh by 2030.
在许多欠发达国家和发展中国家,流行病学和营养转型正导致营养不良情况增加,进而引发儿科疾病并最终造成死亡。因此,本研究旨在确定营养不良并存形式(CFM)即儿童期营养不良存在的重要因素。本研究使用了最新的孟加拉国人口与健康调查(BDHS)-2017/18数据集,该数据集包含7127名五岁以下儿童。已运用逻辑回归模型来深入明确地了解儿童期营养不良的存在与社会经济和人口因素之间的关系。研究结果显示,分别约有31%、22%和8%的儿童患有发育迟缓、体重不足和消瘦。锡尔赫特专区儿童的发育迟缓、体重不足、消瘦和CFM患病率高于其他任何地区。母亲完成中学教育的孩子患营养不良的可能性比未受过教育的母亲的孩子低27.6%(比值比:0.724,95%置信区间:0.58 - 0.90)。高学历父母的孩子营养不良发生率较低。孩子的年龄、出生顺序、是否为双胞胎、母亲年龄、体重指数(BMI)、工作状况、父母教育程度、烹饪燃料、卫生设施、地区、居住情况和财富指数对于确定儿童的营养状况很重要。作者认为,研究结果将有助于政策制定者采取适当行动,以在孟加拉国到2030年减少儿童期营养不良从而实现可持续发展目标(SDGs)。