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体质指数(BMI)与孟加拉国妇女和儿童贫血及血红蛋白水平的相关性:采用多种统计方法的研究。

Is BMI associated with anemia and hemoglobin level of women and children in Bangladesh: A study with multiple statistical approaches.

机构信息

Dept. of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.

出版信息

PLoS One. 2021 Oct 28;16(10):e0259116. doi: 10.1371/journal.pone.0259116. eCollection 2021.

Abstract

BACKGROUND

The coexistence of undernutrition and obesity is an emerging problem for developing countries like Bangladesh. Anemia is another critical public health threat, prevalent predominantly among women and children. Undernutrition is linked with a higher risk of anemia, and lower dietary iron intake might be the possible reason. However, the risk of anemia among obese/overweight individuals is controversial. The study explores the relation of BMI with anemia and blood hemoglobin level among women and children in Bangladesh.

METHODS

Multiple statistical approaches were employed to nationally representative secondary data (BDHS 2011) on women (n = 5680) age 15-49 years and children (n = 2373) age 6-59 months to illuminate the relation between BMI and anemia. BMI was categorized according to the WHO recommended BMI category for Asian people. Descriptive statistics were used to measure mean hemoglobin level. Chi-square test, Pearson correlation, Two-way ANOVA, binary, ordinal, and restricted cubic splines (RCS) regression were used to study the association of BMI with anemia and hemoglobin level.

RESULTS

Chi-square test reveals significant association, though not intense, among BMI and anemia categories of women (15-49 years) (χ2 ≥99, p<2.2e-16 and Cramér's V = 0.0799-0.1357). From ANOVA analysis, a significant difference in blood hemoglobin level was found among women (total sample and nonpregnant) with different BMI categories (p≤0.05). Binary (Severely Underweight: OR 1.2680, 95% CI 0.755-2.161; Obese: OR 0.4038, 95% CI 0.120-1.177), Ordinal logistic regression (Severely Underweight: OR 1.337, 95% CI 0.842-2.115; Obese: OR 0.504, 95% CI 0.153-1.411) and restricted cubic spline regression (Severely Underweight: OR >1.5; Obese: OR ~0.5) reveal that the risk of anemia was higher among underweight and lower among obese/overweight women compared to normal women. Lower anemia risk among richest women indicates probable higher dietary iron intake among obese/overweight women.

CONCLUSION

In the current study, women with overweight/obesity from Bangladesh were shown to have lower likelihood of being anemic, while underweight women more likely to be anemic. However, no relation between BMI and anemia was found among children.

摘要

背景

营养不良和肥胖的共存是孟加拉国等发展中国家面临的一个新问题。贫血也是另一个严重的公共卫生威胁,主要发生在妇女和儿童中。营养不良与贫血的风险增加有关,而较低的饮食铁摄入可能是其可能的原因。然而,肥胖/超重人群患贫血的风险存在争议。本研究旨在探讨 BMI 与孟加拉国妇女和儿童贫血和血血红蛋白水平之间的关系。

方法

采用多种统计方法对全国代表性的二次数据(BDHS 2011)进行分析,该数据包括年龄在 15-49 岁的妇女(n=5680)和年龄在 6-59 个月的儿童(n=2373),以阐明 BMI 与贫血之间的关系。根据世界卫生组织(WHO)推荐的亚洲人 BMI 类别对 BMI 进行分类。采用描述性统计方法测量平均血红蛋白水平。卡方检验、皮尔逊相关、双向方差分析、二项式、有序和限制三次样条(RCS)回归用于研究 BMI 与贫血和血红蛋白水平的关系。

结果

卡方检验显示,尽管不强烈,但 BMI 与妇女(15-49 岁)的贫血分类之间存在显著关联(χ2≥99,p<2.2e-16,Cramér's V=0.0799-0.1357)。从方差分析结果可知,不同 BMI 类别的妇女(总样本和非孕妇)的血液血红蛋白水平存在显著差异(p≤0.05)。二项式(严重消瘦:OR 1.2680,95%CI 0.755-2.161;肥胖:OR 0.4038,95%CI 0.120-1.177)、有序逻辑回归(严重消瘦:OR 1.337,95%CI 0.842-2.115;肥胖:OR 0.504,95%CI 0.153-1.411)和限制三次样条回归(严重消瘦:OR>1.5;肥胖:OR~0.5)表明,与正常体重的妇女相比,消瘦的妇女患贫血的风险更高,而肥胖/超重的妇女患贫血的风险更低。最富裕的妇女患贫血的风险较低,表明肥胖/超重的妇女可能有更高的饮食铁摄入量。

结论

在本研究中,孟加拉国超重/肥胖的妇女患贫血的可能性较低,而消瘦的妇女更有可能患贫血。然而,在儿童中没有发现 BMI 与贫血之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a3c/8553127/4ecbe659e584/pone.0259116.g001.jpg

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