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采用救济与过渡标准监测与评估(SMART)方法对南苏丹五岁以下儿童营养不良的患病率及相关因素进行研究。

The prevalence and associated factors of undernutrition among under-five children in South Sudan using the standardized monitoring and assessment of relief and transitions (SMART) methodology.

作者信息

Kiarie Jackline, Karanja Sarah, Busiri Julius, Mukami Diana, Kiilu Colleta

机构信息

Amref Health Africa in Kenya, Nairobi, Kenya.

Amref Health Africa Headquarters, Nairobi, Kenya.

出版信息

BMC Nutr. 2021 May 28;7(1):25. doi: 10.1186/s40795-021-00425-3.

Abstract

BACKGROUND

Conflict regions bear the heaviest brunt of food insecurity and undernutrition. South Sudan is one of the fragile countries following years of conflict that led to large displacements. Moderate to severe undernutrition among under-five children has been associated with elevated morbidity and mortality. This study, therefore, was conducted to assess the magnitude and factors influencing undernutrition (wasting, underweight and stunting) among children aged 6 to 59 months in Yambio County, South Sudan.

METHODS

A cross-sectional study was conducted from 26 October to 6 November 2018 in Yambio County, South Sudan among 630 children aged 6-59 months from the 348 households surveyed in 39 clusters using two-stage cluster sampling design. Data were collected using questionnaires and nutritional anthropometric measurements. The Standardized Monitoring and Assessment of Relief and Transitions (SMART) Methodology was followed to obtain the prevalence of wasting, underweight and stunting based on respective z scores and according to the 2006 world health organization child growth standards. Data were exported to Stata version 16 for further analysis. Bivariate analysis of independent variables and undernutrition was done using binary logistic regression. Mixed effects logistic regression analysis was conducted to control for possible confounders and account for random effects at household and cluster levels. Unadjusted and adjusted odds ratios (cOR and aOR) with 95% confidence intervals (CI) and p-values were computed. P-values of ≤0.05 were considered statistically significant.

RESULTS

The prevalence of undernutrition explained by wasting (weight-for-height Z-score (WHZ) < - 2), underweight (weight-for-age z-scores (WAZ) < - 2) and stunting (height-for-age z-scores (WHZ) < - 2) were 2.3% (1.3-4.1, 95% CI), 4.8% (3.1-7.5, 95% CI) and 23.8% (19.1-29.2, 95% CI). Male sex (aOR [95% CI], p-value: 5.6 [1.10-30.04], p = 0.038), older child's age (aOR [95% CI], p-value: 30.4 [2.65-347.60], p = 0.006) and non-residents (cOR [95% CI], p-value: 4.2 [1.4-12.2] p = 0.009) were associated with increased risk of wasting. Household size (cOR [95% CI], p-value: 1.09 [1.01-1.18] p = 0.029) and younger child age (cOR [95% CI], p-value: 4.2 [1.34-13.23] p = 0.014) were significantly associated with underweight. Younger child age (aOR [95% CI], p-value: 5.4 [1.82-16.44] p = 0.003) and agricultural livelihood (aOR [95% CI], p-value: 3.4 [1.61-7.02] p = 0.001) were associated with stunting.

CONCLUSION

Based on a cut off of less than - 2 standard deviations for 2006 World Health Organization (WHO) child growth standards, the wasting prevalence was very low, underweight prevalence was low while stunting prevalence was high. The county lies in the only livelihood region in South Sudan with bimodal reliable rainfall pattern and it seems that the impact of the 2016 conflicts that lead to large displacements may not have greatly affected under-five undernutrition. Interventions targeted at improving food diversity, increasing nutrition knowledge and enhancing resilience in male children might reduce undernutrition. In the short-term, investment in continued surveillance of nutritional status should be a main focus.

摘要

背景

冲突地区首当其冲承受着粮食不安全和营养不良的冲击。南苏丹是经历多年冲突导致大量人口流离失所的脆弱国家之一。五岁以下儿童的中度至重度营养不良与发病率和死亡率升高有关。因此,本研究旨在评估南苏丹延比奥县6至59个月儿童营养不良(消瘦、体重不足和发育迟缓)的严重程度及影响因素。

方法

2018年10月26日至11月6日在南苏丹延比奥县进行了一项横断面研究,采用两阶段整群抽样设计,从39个群组中调查的348户家庭的630名6 - 59个月儿童中收集数据。通过问卷调查和营养人体测量收集数据。遵循《救济和过渡标准化监测与评估》(SMART)方法,根据各自的z分数并按照2006年世界卫生组织儿童生长标准得出消瘦、体重不足和发育迟缓的患病率。数据导出到Stata 16版本进行进一步分析。使用二元逻辑回归对自变量和营养不良进行双变量分析。进行混合效应逻辑回归分析以控制可能的混杂因素,并考虑家庭和群组层面的随机效应。计算未调整和调整后的比值比(cOR和aOR)以及95%置信区间(CI)和p值。p值≤0.05被认为具有统计学意义。

结果

消瘦(身高别体重Z评分(WHZ)< - 2)、体重不足(年龄别体重z评分(WAZ)< - 2)和发育迟缓(年龄别身高z评分(HAZ)< - 2)所解释的营养不良患病率分别为2.3%(1.3 - 4.1,95%CI)、4.8%(3.1 - 7.5,95%CI)和23.8%(19.1 - 29.2,95%CI)。男性(aOR[95%CI],p值:5.6[1.10 - 30.04],p = 0.038)、年龄较大的儿童(aOR[95%CI],p值:30.4[2.65 - 347.60],p = 0.006)和非居民(cOR[95%CI],p值:4.2[1.4 - 12.2] p = 0.009)与消瘦风险增加相关。家庭规模(cOR[95%CI],p值:1.09[1.01 - 1.18] p = 0.029)和年龄较小的儿童(cOR[95%CI],p值:4.2[1.34 - 13.23] p = 0.014)与体重不足显著相关。年龄较小的儿童(aOR[95%CI],p值:5.4[1.82 - 16.44] p = 0.003)和农业生计(aOR[95%CI],p值:3.4[1.61 - 7.02] p = 0.001)与发育迟缓相关。

结论

根据2006年世界卫生组织(WHO)儿童生长标准低于 - 2个标准差的临界值,消瘦患病率非常低,体重不足患病率较低,而发育迟缓患病率较高。该县位于南苏丹唯一具有双季可靠降雨模式的生计区,2016年导致大量人口流离失所的冲突影响似乎并未对五岁以下儿童的营养不良产生重大影响。针对改善食物多样性、增加营养知识和增强男童恢复力的干预措施可能会减少营养不良。短期内,应将重点主要放在持续监测营养状况的投资上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/502d/8161633/b92b63d64cb2/40795_2021_425_Fig1_HTML.jpg

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