| Unique ID issued by UMIN | UMIN000055363 |
|---|---|
| Receipt number | R000063270 |
| Scientific Title | A cohort study of bathing-induced acute illness and its prognosis-ONSEN study (hOt spriNg reSearch in Emergecy aNd criticalcare)-. |
| Date of disclosure of the study information | 2024/08/29 |
| Last modified on | 2024/08/29 13:52:33 |
Project to Reduce Bathing-Related Accidents to Zero.
Project to Reduce Bathing-Related Accidents to Zero.
A cohort study of bathing-induced acute illness and its prognosis-ONSEN study (hOt spriNg reSearch in Emergecy aNd criticalcare)-.
ONSEN study (hOt spriNg reSearch in Emergecy aNd criticalcare)
| Japan |
Acute illness related to bathing
| Emergency medicine | Intensive care medicine |
Others
NO
Objective: To investigate the relationship between the onset of acute illness caused by bathing, including hot springs, and the prognosis and severity of the illness.
Others
Examine the frequency of occurrence and risk of severity
Relationship between type of bathing and incidence of prognosis
Observational
| Not applicable |
| Not applicable |
Male and Female
Cases with "onsen" or "bathing" or "zao" or "bath" in the medical record
Exclude cases that are bath-related but not acute onset.
1000
| 1st name | masaki |
| Middle name | |
| Last name | nakane |
Yamagata University Hospital
Emergency and Crical Care Medicine
9909585
2-2-2 Iida-Nishi, Yamagata City
0236285400
yarimizu.kenya@gmail.com
| 1st name | kenya |
| Middle name | |
| Last name | yarimizu |
Yamagata University Hospital
Department of Anesthesiology
9909585
2-2-2 Iida-Nishi, Yamagata City
0236285400
yarimizu.kenya@gmail.com
Yamagata University Hospital
self-procurement
Self funding
Yamagata University School of Medicine
2-2-2 Iida-Nishi, Yamagata City
0236285400
yarimizu.kenya@gmail.com
NO
| 2024 | Year | 08 | Month | 29 | Day |
Unpublished
Open public recruiting
| 2024 | Year | 03 | Month | 19 | Day |
| 2024 | Year | 03 | Month | 19 | Day |
| 2024 | Year | 03 | Month | 20 | Day |
| 2040 | Year | 03 | Month | 31 | Day |
Primary endpoints:
1. grouping: Participants will be grouped based on type of bathing. The incidence of prognosis will be measured for each group. 2.
Statistical Analysis: Statistical methods such as Chi-square test, Fisher's exact test (for categorical variables), or ANOVA or MANOVA (for continuous variables) will be used to assess the impact of bathing type on the incidence of prognosis. Multivariate analysis may also be used to adjust for the effects of other covariates.
3. interpretation of results: interpretation of which type of bathing has a positive or negative impact on prognosis, with statistical significance.
Secondary endpoints:
Descriptive Statistics: Basic descriptive statistics such as mean, median, standard deviation, and range (minimum and maximum values) will be performed on the data collected. This will provide an overall picture of the bathing habits of the study subjects. 2.
Distribution visualization: Histograms and box plots are used to visualize the distribution of data on bathing. This allows us to identify any bias or outliers in the data. 3.
Subgroup analysis: If necessary, descriptive statistics can be performed for each subgroup, such as age, gender, health status, etc., to make comparisons between groups.
| 2024 | Year | 08 | Month | 29 | Day |
| 2024 | Year | 08 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063270