日本出生体重不足与社会经济贫困程度的关系分析:一项利用全国市政数据进行的生态研究。

Tasuku Okui, Naoki Nakashima
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引用次数: 0

摘要

背景:多项国际研究表明,社会经济贫困水平与不良出生结果之间存在关联。相比之下,日本利用全国性数据调查社会经济地位与低出生体重之间关系的研究非常有限。在本研究中,我们通过生态学研究调查了市级社会经济贫困水平与低出生体重之间的关系:方法:使用 2013 年至 2017 年全国各市的人口动态统计数据。我们计算了各市的低出生体重率和低出生体重标准化发病率(SIR),并将其绘制在日本地图上。此外,我们还计算了它们与贫困程度之间的相关系数。此外,还使用了包含其他市镇特征的空间回归模型来研究出生体重不足与贫困程度之间的关系:结果:出生体重不足的 SIR 值相对较高的市镇分布在日本全国各地。社会经济贫困水平与低出生体重率之间的相关系数为 0.196(P 值结论):社会经济贫困水平与低出生体重率呈正相关,有必要使用个人数据进行进一步研究,以验证两者相关的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal data.

Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal data.

Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal data.

Background: Several international studies have indicated an association between socioeconomic deprivation levels and adverse birth outcomes. In contrast, those investigating an association between socioeconomic status and low birth weight using nationwide data are limited in Japan. In this study, we investigated an association between municipal socioeconomic deprivation level and low birth weight by an ecological study.

Methods: Nationwide municipal-specific Vital Statistics data from 2013 to 2017 were used. We calculated the low birth weight rate and standardized incidence ratio (SIR) for low birth weight for each municipality and plotted them on a Japanese map. Furthermore, the correlation coefficient between them and the deprivation level were calculated. In addition, a spatial regression model including other municipal characteristics was used to investigate an association between low birth weight and the deprivation level.

Results: Municipalities with relatively high SIR for low birth weight were dispersed across all of Japan. The correlation coefficient between the socioeconomic deprivation level and low birth weight rate was 0.196 (p-value < 0.001) among municipalities, and that between the socioeconomic deprivation level and the SIR for low birth weight was 0.260 (p-value < 0.001). In addition, the spatial regression analysis showed the deprivation level was significantly and positively associated with low birth weight.

Conclusions: The socioeconomic deprivation level and low birth weight were positively associated, and a further study using individual data is warranted to verify reasons for the association.

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