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南苏丹东赤道州尼穆勒边境城镇 24 个月以下儿童体重不足的预测因素:一项基于社区的横断面研究。

Predictors of under-weight among children younger than 24 months in Nimule Border Town, Eastern Equatoria State, South Sudan: a community-based cross sectional study.

机构信息

Institute of Public Health and Management, Clarke International University, Kampala, Uganda.

Department of Family Medicine, School of Health Sciences, Community Health and Epidemiology, Kenyatta University, Nairobi, Kenya.

出版信息

BMC Public Health. 2024 May 25;24(1):1400. doi: 10.1186/s12889-024-18836-9.


DOI:10.1186/s12889-024-18836-9
PMID:38796428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11127447/
Abstract

BACKGROUND: Underweight is a public health problem globally, and more severe in South Sudan with wide sub-regional differences. In Nimule border town, which represents other border towns in South Sudan, data on underweight among children below two years is unavailable. Thus, this study set out to assess predictors of underweight among children younger than 24 months in Nimule border town, Magwi County, Eastern Equatoria State, South Sudan. METHODS: An analytical cross-sectional study was conducted in Nimule boarder town targeting 390 children younger than two years. Systematic sampling and simple random sampling methods were used. Data were collected through a researcher-administered questionnaire with both open and closed ended questions. Data was entered in EpiData and then exported into Statistical Package for Social Sciences research (SPSS) version 20 for analysis. Descriptive data analysis was conducted and data were summarized into frequencies and percentages, means with standard deviations, and medians with interquartile ranges. Bivariate analysis was conducted with the Chi-squared and Fisher's exact tests for categorical independent variables, and the student's t-test for numerical variables. Finally, multivariate analysis was done via logistic regression analysis and results were stated as odds ratios (OR) with corresponding 95% confidence interval (CI). The level of statistical significance was set at 5%. RESULTS: Out of the total 390 participants, 112 (28.7%) were under weight. The study showed primary (aOR, 0.38; 95% CI, 0.12-1.18; P = 0.095) and secondary (aOR, 0.37; 95% CI, 0.12-1.17; P = 0.091 levels of education were associated with underweight but not tertiary level of education (aOR, 0.76; 95% CI, 0.21-2.74; p = 0.671). Household income of 5000 to 10,000 (aOR, 0.26; 95% CI, 0.10-0.68; P = 0.006) and above 10,000 (aOR, 0.11; 95% CI, 0.04-0.28; P < 0.001) South Sudanese pounds, supplementary feeding before 6 months (aOR; 0.01; 95% CI, 0.02-0.05; P < 0.001) were associated with underweight and irregular hand washing (aOR; 2.17; 95% CI, 1.14-4.11; P = 0.018) was associated with increased odds of underweight. CONCLUSIONS: This study established a high prevalence of underweight. Maternal level of education particularly primary, secondary, higher household incomes in excess of 5,000 South Sudanese pounds reduced the risk of underweight. While irregular hand washing was a risk factor for underweight.

摘要

背景:全球范围内,体重过轻是一个公共卫生问题,在南苏丹更为严重,且存在广泛的次区域差异。在尼穆勒边境城镇,该地区代表了南苏丹其他边境城镇,目前缺乏 2 岁以下儿童体重过轻的数据。因此,本研究旨在评估尼穆勒边境城镇(马维县,东赤道州,南苏丹)24 个月以下儿童体重过轻的预测因素。

方法:本研究采用横断面分析方法,在尼穆勒边境城镇招募了 390 名 2 岁以下儿童。采用系统抽样和简单随机抽样方法。通过研究人员管理的问卷收集数据,问卷既有开放式问题,也有封闭式问题。数据录入 EpiData 后,再导出到统计软件包社会科学研究(SPSS)版本 20 进行分析。采用描述性数据分析,数据总结为频率和百分比、均值和标准差以及中位数和四分位数范围。采用卡方检验和 Fisher 精确检验进行分类自变量的双变量分析,采用学生 t 检验进行数值变量的双变量分析。最后,通过逻辑回归分析进行多变量分析,并以比值比(OR)及其 95%置信区间(CI)表示结果。统计显著性水平设为 5%。

结果:在总共 390 名参与者中,有 112 人(28.7%)体重过轻。研究表明,初等(aOR,0.38;95%CI,0.12-1.18;P=0.095)和中等(aOR,0.37;95%CI,0.12-1.17;P=0.091)教育水平与体重过轻有关,但高等教育水平(aOR,0.76;95%CI,0.21-2.74;P=0.671)则无关。家庭收入在 5000 至 10000 南苏丹镑(aOR,0.26;95%CI,0.10-0.68;P=0.006)和 10000 南苏丹镑以上(aOR,0.11;95%CI,0.04-0.28;P<0.001)与体重过轻有关,而在 6 个月前补充喂养(aOR,0.01;95%CI,0.02-0.05;P<0.001)和不规律洗手(aOR,2.17;95%CI,1.14-4.11;P=0.018)与体重过轻有关。

结论:本研究发现体重过轻的发生率很高。母亲的教育水平,特别是初等、中等、家庭收入高于 5000 南苏丹镑,降低了体重过轻的风险。而不规律洗手是体重过轻的一个危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68b/11127447/29909939d391/12889_2024_18836_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68b/11127447/29909939d391/12889_2024_18836_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68b/11127447/29909939d391/12889_2024_18836_Fig1_HTML.jpg

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[1]
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