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孟加拉国西南沿海地区环境温度与尿液生物标志物的性别特异性关联

Sex-Specific Association of Ambient Temperature With Urine Biomarkers in Southwest Coastal Bangladesh.

作者信息

Mazumder Hoimonty, Mondol Momenul Haque, Rahman Mahbubur, Khan Rizwana, Doza Solaiman, Unicomb Leanne, Jahan Farjana, Mukhopadhyay Ayesha, Makris Konstantinos C, Caban-Martinez Alberto, Iqbal Romaina, Ahmed Faruk, Creencia Lota, Shamsudduha Mohammad, Mzayek Fawaz, Jia Chunrong, Zhang Hongmei, Musah Anwar, Fleming Lora E, Mou Xichen, Kovesdy Csaba P, Gribble Matthew O, Naser Abu Mohd

机构信息

Division of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.

School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Statistics, University of Barishal, Barishal-8254, Bangladesh.

出版信息

Kidney Int Rep. 2024 Mar 11;9(6):1860-1875. doi: 10.1016/j.ekir.2024.03.002. eCollection 2024 Jun.

Abstract

INTRODUCTION

Men are vulnerable to ambient heat-related kidney disease burden; however, limited evidence exists on how vulnerable women are when exposed to high ambient heat. We evaluated the sex-specific association between ambient temperature and urine electrolytes, and 24-hour urine total protein, and volume.

METHODS

We pooled a longitudinal 5624 person-visits data of 1175 participants' concentration and 24-hour excretion of urine electrolytes and other biomarkers (24-hour urine total protein and volume) from southwest coastal Bangladesh (Khulna, Satkhira, and Mongla districts) during November 2016 to April 2017. We then spatiotemporally linked ambient temperature data from local weather stations to participants' health outcomes. For evaluating the relationships between average ambient temperature and urine electrolytes and other biomarkers, we plotted confounder-adjusted restricted cubic spline (RCS) plots using participant-level, household-level, and community-level random intercepts. We then used piece-wise linear mixed-effects models for different ambient temperature segments determined by inflection points in RCS plots and reported the maximum likelihood estimates and cluster robust standard errors. By applying interaction terms for sex and ambient temperature, we determined the overall significance using the Wald test. Bonferroni correction was used for multiple comparisons.

RESULTS

The RCS plots demonstrated nonlinear associations between ambient heat and urine biomarkers for males and females. Piecewise linear mixed-effects models suggested that sex did not modify the relationship of ambient temperature with any of the urine parameters after Bonferroni correction ( < 0.004).

CONCLUSION

Our findings suggest that women are as susceptible to the effects of high ambient temperature exposure as men.

摘要

引言

男性易受环境热相关肾病负担的影响;然而,关于女性在暴露于高环境温度时的易感性,现有证据有限。我们评估了环境温度与尿电解质、24小时尿总蛋白及尿量之间的性别特异性关联。

方法

我们汇总了2016年11月至2017年4月期间来自孟加拉国西南沿海地区(库尔纳、萨特希拉和蒙格拉区)的1175名参与者的纵向5624人次数据,包括尿电解质及其他生物标志物(24小时尿总蛋白和尿量)的浓度和24小时排泄量。然后,我们将当地气象站的环境温度数据与参与者的健康结果进行时空关联。为了评估平均环境温度与尿电解质及其他生物标志物之间的关系,我们使用参与者水平、家庭水平和社区水平的随机截距绘制了经混杂因素调整的受限立方样条(RCS)图。然后,我们对RCS图中的拐点确定的不同环境温度段使用分段线性混合效应模型,并报告最大似然估计值和聚类稳健标准误。通过应用性别和环境温度的交互项,我们使用Wald检验确定总体显著性。采用Bonferroni校正进行多重比较。

结果

RCS图显示男性和女性的环境热与尿生物标志物之间存在非线性关联。分段线性混合效应模型表明,经Bonferroni校正后,性别并未改变环境温度与任何尿参数之间的关系(<0.004)。

结论

我们的研究结果表明,女性与男性一样容易受到高环境温度暴露的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad02/11184407/94484184fbb2/ga1.jpg

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