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探讨后转型期克罗地亚社会经济发展对儿童生长的影响:一项横断面研究。

Exploring the effect of socioeconomic development on child growth in posttransitional Croatia: a cross-sectional study.

机构信息

Croatian Institute of Public Health, Zagreb, Croatia.

School of Public Health Andrija Štampar, School of Medicine, University of Zagreb, Zagreb, Croatia.

出版信息

Int J Public Health. 2020 Nov;65(8):1299-1307. doi: 10.1007/s00038-020-01424-0. Epub 2020 Jul 12.

Abstract

OBJECTIVES

To determine the relationship between socioeconomic development (SD) of local administrative units (LAU) and the height and body mass index (BMI) of second- and third-grade children in Croatia.

METHODS

We analyzed average height-for-age and BMI-for-age z-scores of 99 LAUs, based on the measurement of 5662 children participating in the Childhood Obesity Surveillance Initiative Croatia. SD was defined according to the governmental Development index. Pearson's correlations between average height and BMI z-scores and SD were calculated. We used ANOVA to test differences in average height and BMI z-scores among LAUs from different SD quartiles and multiple linear regression to investigate the association between average height-for-age z-scores and SD.

RESULTS

Height-for-age was significantly correlated with SD. We found a difference in average height-for-age between the least and more developed LAUs. A multiple linear regression model showed significant association between Development index and the average height-for-age z-score (F = 13.085, p < 0.001, R = 0.119).

CONCLUSIONS

This finding is important for creators of policies worldwide as socioeconomic inequalities in children's height may exist in other countries that, like Croatia, have recently gone through the transition process.

摘要

目的

确定克罗地亚地方行政单位(LAU)的社会经济发展(SD)与二级和三级儿童身高和体重指数(BMI)之间的关系。

方法

我们根据参与克罗地亚儿童肥胖监测计划的 5662 名儿童的测量结果,分析了 99 个 LAU 的平均年龄身高和 BMI 年龄 z 分数。SD 根据政府发展指数来定义。计算了平均身高和 BMI z 分数与 SD 之间的 Pearson 相关系数。我们使用 ANOVA 测试了来自不同 SD 四分位数的 LAU 之间平均身高和 BMI z 分数的差异,并使用多元线性回归调查了平均年龄身高 z 分数与 SD 之间的关联。

结果

身高与 SD 呈显著相关。我们发现最不发达和最发达的 LAU 之间的平均年龄身高存在差异。多元线性回归模型显示发展指数与平均年龄身高 z 分数之间存在显著关联(F=13.085,p<0.001,R=0.119)。

结论

这一发现对于全球政策制定者很重要,因为儿童身高方面的社会经济不平等可能存在于其他国家,这些国家与克罗地亚一样,最近经历了转型过程。

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