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社会人口统计学模式在南印度农村人口中个体营养不良双重负担的研究:一项横断面研究。

Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study.

机构信息

Department of Population Medicine, University of Guelph, Guelph, ON, Canada.

School of Public Health and Social Policy, University of Victoria, Victoria, BC, Canada.

出版信息

BMC Public Health. 2020 May 13;20(1):675. doi: 10.1186/s12889-020-08679-5.

Abstract

BACKGROUND

The double burden of malnutrition is the co-occurrence of undernutrition (e.g. underweight, stunting, and micronutrient deficiencies) and over-nutrition (e.g. obesity, type 2 diabetes, and cardiovascular disease) at the population, household, or individual level. The objectives of this study were to determine the extent and determinants of individual-level co-morbid anemia and overweight and co-morbid anemia and diabetes in a population in rural Tamil Nadu, South India.

METHODS

We undertook a cross-sectional study of adults (n = 753) in a rural region of Tamil Nadu, South India. A survey assessed socio-demographic factors, physical activity levels, and dietary intake. Clinical measurements included body-mass index, an oral glucose tolerance test, and blood hemoglobin assessments. Multivariable logistic regression analyses were used to determine associations between risk factors and two co-morbid double burden pairings: (1) anemia and overweight, and (2) anemia and diabetes.

RESULTS

Prevalence of co-morbid anemia and overweight was 23.1% among women and 13.1% among men. Prevalence of co-morbid anemia and diabetes was 6.2% among women and 6.3% among men. The following variables were associated with co-morbid anemia and overweight in multivariable models [odds ratio (95% confidence interval)]: female sex [2.3 (1.4, 3.85)], high caste [3.2 (1.34, 7.49)], wealth index [1.1 (1.00, 1.12)], rurality (0.7 [0.56, 0.85]), tobacco consumption [0.6 (0.32, 0.96)], livestock ownership [0.5 (0.29, 0.89)], and energy-adjusted meat intake [1.8 (0.61, 0.94)]. The following variables were associated with co-morbid anemia and diabetes in multivariable models: age [1.1 (1.05, 1.11)], rurality [0.8 (0.57, 0.98)], and family history of diabetes [4.9 (1.86, 12.70).

CONCLUSION

This study determined the prevalence and factors associated with individual-level double burden of malnutrition. Women in rural regions of India may be particularly vulnerable to individual-level double burden of malnutrition and should be a target population for any nutrition interventions to address simultaneous over- and undernutrition.

摘要

背景

营养不良的双重负担是指在人群、家庭或个体层面同时存在营养不足(如体重过轻、发育迟缓、微量营养素缺乏)和营养过剩(如肥胖、2 型糖尿病、心血管疾病)的现象。本研究的目的是确定在印度南部泰米尔纳德邦农村地区人群中个体层面同时存在贫血和超重以及贫血和糖尿病的双重负担的程度和决定因素。

方法

我们对印度南部泰米尔纳德邦农村地区的成年人(n=753)进行了横断面研究。一项调查评估了社会人口因素、身体活动水平和饮食摄入情况。临床测量包括体重指数、口服葡萄糖耐量试验和血液血红蛋白评估。多变量逻辑回归分析用于确定危险因素与两种双重负担配对之间的关联:(1)贫血和超重,以及(2)贫血和糖尿病。

结果

女性中同时存在贫血和超重的患病率为 23.1%,男性中为 13.1%。女性中同时存在贫血和糖尿病的患病率为 6.2%,男性中为 6.3%。多变量模型中与同时存在贫血和超重相关的变量[比值比(95%置信区间)]包括:女性性别[2.3(1.4,3.85)]、高种姓[3.2(1.34,7.49)]、财富指数[1.1(1.00,1.12)]、农村地区(0.7[0.56,0.85])、烟草消费[0.6(0.32,0.96)]、牲畜所有权[0.5(0.29,0.89)]和能量调整后的肉类摄入量[1.8(0.61,0.94)]。多变量模型中与同时存在贫血和糖尿病相关的变量包括:年龄[1.1(1.05,1.11)]、农村地区[0.8(0.57,0.98)]和糖尿病家族史[4.9(1.86,12.70)]。

结论

本研究确定了个体层面营养不良双重负担的流行程度和相关因素。印度农村地区的女性可能特别容易受到个体层面营养不良双重负担的影响,应成为任何旨在解决同时存在的营养过剩和不足的营养干预措施的目标人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1566/7218837/8f9482bf0677/12889_2020_8679_Fig1_HTML.jpg

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