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

作者：Hoimonty Mazumder, Momenul Haque Mondol, Mahbubur Rahman, Rizwana Khan, Solaiman Doza, Leanne Unicomb, Farjana Jahan, Ayesha Mukhopadhyay, Konstantinos C. Makris, Alberto J. Caban‐Martinez, Romaina Iqbal, Faruk Ahmed, Lota Creencia, Mohammad Shamsudduha, Fawaz Mzayek, Chunrong Jia, Hongmei Zhang, Anwar Musah, Lora E. Fleming, Xichen Mou, Csaba P. Kövesdy, Matthew O. Gribble, Abu Mohd Naser · 发表于：Kidney International Reports · 年份：2024 · DOI：10.1016/j.ekir.2024.03.002 · 被引用次数：3 · 研究领域：Climate Change and Health Impacts、Thermoregulation and physiological responses、Health, Environment, Cognitive Aging

Introduction Men are vulnerable to ambient heat-related kidney disease burden, but 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 (concentration and 24-hour excretion), and 24-hour urine total protein, and volume. Methods We pooled a longitudinal data of 1,175 participants' concentration and 24-hour excretion of urine electrolytes and other biomarkers (24-hour urine total protein and volume) (5624 person-visits) collected in southwest coastal Bangladesh (Khulna, Satkhira, and Mongla districts) during November 2016 - 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-, household-, 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 non-linear associations b...