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贫困、城乡分类与早期婴儿死亡率:基于人群的多层次分析。

Poverty, urban-rural classification and term infant mortality: a population-based multilevel analysis.

机构信息

Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, WARF Office Building, Room 675A, 610 Walnut St, Madison, WI, 53726, USA.

Department of Community and Family Health, College of Public Health, University of South Florida, Tampa, FL, USA.

出版信息

BMC Pregnancy Childbirth. 2019 Jan 22;19(1):40. doi: 10.1186/s12884-019-2190-1.

Abstract

BACKGROUND

U.S. mortality rate of term infants is higher than most other developed countries. Term infant mortality is associated with exogenous socio-environmental factors. Previous research links low socioeconomic status and rurality with high infant mortality, but does not examine the effect of individual level factors on this association. Separating out the effect of contextual factors from individual level factors has important implications for targeting interventions. Therefore, we aim to estimate the independent effect of poverty and urban-rural classification on term infant mortality.

METHODS

We used linked 2013 period cohort birth-infant death files from the National Center for Health Statistics (NCHS). Counties were assigned to low, medium and high poverty groups using US Census Bureau county-level percent of children ≤18 years living in poverty, and were classified based on NCHS urban-rural classification. Bivariate and multilevel logistic regression models were used to estimate odds of term infant death, accounting for individual and county level variables.

RESULTS

There were 2,551,828 term births in 2013, with an overall term mortality of 2.1 per 1000 births. Odds of term infant mortality increased from 1.4 (95% CI: 1.2, 1.6) to 1.8 (95% CI: 1.6, 2.0) comparing births over increasing county poverty to those in the lowest. The associations remained significant in the multivariable model, for highest poverty 1.3 (95% CI: 1.1, 1.5). Similarly, the odds of term infant mortality increased with increasing rurality, from 1.3 (95% CI: 1.2, 1.5) in medium metro counties to 1.7 (95% CI: 1.5, 2.0) in non-core counties compared to large fringe metro counties. However, only rural non-core counties remained statistically associated with increased risk of term infant mortality after adjusting for individual level maternal characteristics.

CONCLUSIONS

High poverty and very rural counties remained associated with term infant mortality independent of individual maternal sociodemographic, health and obstetric factors. Interventions should focus on contextual factors such as economic environment and availability of health and social services in addition to individual factors to reduce term infant mortality.

摘要

背景

美国足月婴儿的死亡率高于大多数其他发达国家。足月婴儿死亡率与外源性社会环境因素有关。先前的研究将低社会经济地位和农村地区与高婴儿死亡率联系起来,但没有研究个体因素对这种关联的影响。将环境因素的影响与个体因素分开对有针对性地开展干预具有重要意义。因此,我们旨在估计贫困和城乡分类对足月婴儿死亡率的独立影响。

方法

我们使用了来自国家卫生统计中心(NCHS)的 2013 年时期队列出生-婴儿死亡档案进行分析。使用美国人口普查局的县一级 18 岁以下儿童贫困比例将各县分为低、中、高贫困组,并根据 NCHS 的城乡分类进行分类。使用二变量和多水平逻辑回归模型来估计足月婴儿死亡的几率,同时考虑个体和县级变量。

结果

2013 年共有 2551828 例足月出生,总足月死亡率为每 1000 例出生 2.1 例。与处于最低贫困水平的出生相比,出生在贫困程度不断增加的县的足月婴儿死亡几率从 1.4(95%CI:1.2,1.6)增加到 1.8(95%CI:1.6,2.0)。在多变量模型中,这种关联仍然显著,最高贫困县的比值比为 1.3(95%CI:1.1,1.5)。同样,随着农村化程度的增加,足月婴儿死亡的几率也随之增加,从中等大都市县的 1.3(95%CI:1.2,1.5)到非核心县的 1.7(95%CI:1.5,2.0)。然而,只有农村非核心县在调整了个体产妇特征后,与足月婴儿死亡率升高仍然存在统计学关联。

结论

高贫困和非常农村县仍然与足月婴儿死亡率相关,而与个体产妇社会人口统计学、健康和产科因素无关。干预措施应侧重于经济环境和卫生与社会服务的提供等环境因素,以及个体因素,以降低足月婴儿死亡率。

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