The Association between Serum Osmolality and Hypertension, Diabetes Mellitus and Kidney Disease

This study aimed to investigate the association between dehydration and hypertension, diabetes mellitus, and kidney disease from subjects who restricted their food and fluid intake before the drawing of blood for a physical test during a national health screening program. In this study, there were 491 samples with valid data regarding the levels of sodium, potassium, blood urea nitrogen, and fasting blood sugar selected to calculate serum osmolality, as an indicator of dehydration. The data were collected from the national health screening examinees from 2017.11.01. to 2017.12.18 at the S Hospital Comprehensive Health Check-up Center. The study group was divided into the normal group (<295 mOsm) and the dehydrated group (≥295 mOsm). Multiple regression analysis showed no significant impact of dehydration on diastolic blood pressure for this study group, but the model with glycated hemoglobin and glomerular filtration rate showed a high enough correlation to confirm dehydration as a significant predictor of diseases. A dehydration indicator of serum osmolality was observed as a predictor of the chronic diseases hypertension, diabetes mellitus, and kidney disease.

Authors

Publication Details

Journal
Journal of Business Convergence
Published
2024-08-31
DOI
https://doi.org/10.31152/jb.2024.08.9.4.81
Primary Topic
Biomarkers in Disease Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Association between Serum Osmolality and Hypertension, Diabetes Mellitus and Kidney Disease

Geum-Seon Lee, Sun‐Hee Kim
Journal of Business Convergence
Biomarkers in Disease Mechanisms
article

The Association between Serum Osmolality and Hypertension, Diabetes Mellitus and Kidney Disease

Geum-Seon Lee, Sun‐Hee Kim
article en

Abstract

This study aimed to investigate the association between dehydration and hypertension, diabetes mellitus, and kidney disease from subjects who restricted their food and fluid intake before the drawing of blood for a physical test during a national health screening program. In this study, there were 491 samples with valid data regarding the levels of sodium, potassium, blood urea nitrogen, and fasting blood sugar selected to calculate serum osmolality, as an indicator of dehydration. The data were collected from the national health screening examinees from 2017.11.01. to 2017.12.18 at the S Hospital Comprehensive Health Check-up Center. The study group was divided into the normal group (<295 mOsm) and the dehydrated group (≥295 mOsm). Multiple regression analysis showed no significant impact of dehydration on diastolic blood pressure for this study group, but the model with glycated hemoglobin and glomerular filtration rate showed a high enough correlation to confirm dehydration as a significant predictor of diseases. A dehydration indicator of serum osmolality was observed as a predictor of the chronic diseases hypertension, diabetes mellitus, and kidney disease.

Journal of Business ConvergenceVol. 9(4)
Good health and well-being
Openalex Percentile: Top 81%
Biomarkers in Disease Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.