Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants.

IF 1.1 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Global Health Epidemiology and Genomics Pub Date : 2018-04-22 eCollection Date: 2018-01-01 DOI:10.1017/gheg.2018.4
D C Parra, L F Gomez, L Iannotti, D Haire-Joshu, A K Sebert Kuhlmann, R C Brownson
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引用次数: 8

Abstract

Background: The aim of this study was to establish the association of maternal, family, and contextual correlates of anthropometric typologies at the household level in Colombia using 2005 Demographic Health Survey (DHS/ENDS) data.

Methods: Household-level information from mothers 18-49 years old and their children <5 years old was included. Stunting and overweight were assessed for each child. Mothers were classified according to their body mass index. Four anthropometric typologies at the household level were constructed: normal, underweight, overweight, and dual burden. Four three-level [households (n = 8598) nested within municipalities (n = 226), nested within states (n = 32)] hierarchical polytomous logistic models were developed. Household log-odds of belonging to one of the four anthropometric categories, holding 'normal' as the reference group, were obtained.

Results: This study found that anthropometric typologies were associated with maternal and family characteristics of maternal age, parity, maternal education, and wealth index. Higher municipal living conditions index was associated with a lower likelihood of underweight typology and a higher likelihood of overweight typology. Higher population density was associated with a lower likelihood of overweight typology.

Conclusion: Distal and proximal determinants of the various anthropometric typologies at the household level should be taken into account when framing policies and designing interventions to reduce malnutrition in Colombia.

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哥伦比亚母亲及其婴儿家庭人体测量类型学的多水平相关性。
背景:本研究的目的是利用2005年人口健康调查(DHS/ENDS)数据,在哥伦比亚家庭层面建立母亲、家庭和环境因素与人体测量学类型学之间的关联。方法:建立分层多域logistic模型,收集18-49岁母亲及其子女(n = 8598)(市(n = 226),州(n = 32))的家庭信息。获得了属于四种人体测量类别之一的家庭对数赔率,以“正常”为参照组。结果:本研究发现,人体测量类型与母亲年龄、胎次、母亲教育程度和财富指数等母亲和家庭特征相关。较高的城市生活条件指数与较低的体重不足类型的可能性和较高的超重类型的可能性相关。较高的人口密度与较低的超重类型相关。结论:在制定政策和设计干预措施以减少哥伦比亚的营养不良时,应考虑到家庭层面各种人体测量类型的远端和近端决定因素。
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来源期刊
Global Health Epidemiology and Genomics
Global Health Epidemiology and Genomics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.40
自引率
0.00%
发文量
10
审稿时长
20 weeks
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