Evidence map›Paper›PMID 38899224›Full record

ArticleKidney international reports2024

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

Hoimonty Mazumder, Momenul Haque Mondol, Mahbubur Rahman, Rizwana Khan, Solaiman Doza, Leanne Unicomb, Farjana Jahan, Ayesha Mukhopadhyay, Konstantinos C Makris, Alberto Caban-Martinez and 13 more

Abstract read
In one paragraph

Article in Kidney international reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Hoimonty MazumderDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.
Momenul Haque MondolSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Statistics, University of Barishal, Barishal-8254, Bangladesh.
Mahbubur RahmanInternational Centre for Diarrheal Disease Research, Bangladesh, Bangladesh.
Rizwana KhanInternational Centre for Diarrheal Disease Research, Bangladesh, Bangladesh.
Solaiman DozaEnvironmental and Occupational Health, School of Biological and Population Health Sciences, Oregon State University, Oregon, USA.
Leanne UnicombInternational Centre for Diarrheal Disease Research, Bangladesh, Bangladesh.
Farjana JahanInternational Centre for Diarrheal Disease Research, Bangladesh, Bangladesh.
Ayesha MukhopadhyayDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.
Konstantinos C MakrisCyprus International Institute for Environmental and Public Health, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus.
Alberto Caban-MartinezDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA.
Romaina IqbalDepartment of Community Health Sciences, Aga Khan University, Pakistan.
Faruk AhmedDepartment of Engineering Technology, The University of Memphis, Memphis, Tennessee, USA.
Lota CreenciaCollege of Fisheries and Aquatic Sciences, Western Philippines University, Palawan, Philippines.
Mohammad ShamsudduhaInstitute for Risk and Disaster Reduction, University College London, London, UK.
Fawaz MzayekDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.
Chunrong JiaDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.
Hongmei ZhangDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.
Anwar MusahDepartment of Geography, University College London, London, UK.
Lora E FlemingEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall, UK.
Xichen MouDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.
Csaba P KovesdyDivision of Nephrology, University of Tennessee Health Science Centre, Memphis, Tenessee; USA.
Matthew O GribbleDepartment of Medicine, Division of Occupational, Environmental, and Climate Medicine, University of California, San Francisco, San Francisco, California, USA.
Abu Mohd NaserDivision of Epidemiology, Biostatistics, and Environmental Health; School of Public Health, The University of Memphis, Memphis, Tennessee, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

climate and healthenvironmentenvironmental determinants of healthGeoHealthplanetary healthrenal elimination

Identifiers

PMID38899224
PMCPMC11184407

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.