# Determination of Lifestyle Habits Correlating to the Prevalence of Hypertension, Diabetes, and Dyslipidemia by the Analysis of Health-Related Questionnaire Datasets in Japanese Nationwide Open Data

## TL;DR

This study analyzed health data from 28.9 million Japanese people to find lifestyle habits linked to hypertension, diabetes, and dyslipidemia.

## Contribution

The study identifies specific lifestyle factors correlated with chronic diseases using a large-scale Japanese health dataset.

## Key findings

- Smoking, weight gain, and eating habits correlated with hypertension prevalence.
- Smoking and chewing conditions were linked to diabetes prevalence.
- No lifestyle habits showed strong correlations with dyslipidemia prevalence.

## Abstract

Introduction: The National Database of Health Insurance Claims and Specific Health Checkups (NDB) Open Data Japan provides a nationwide health-related dataset based on region. This study aimed to identify lifestyle habits that correlated with the prevalence of hypertension, diabetes, and dyslipidemia by analyzing a dataset.

Methods: Data from 28.9 million respondents regarding lifestyle habits were collected in the fiscal year 2020 and provided in the 8th NDB Open Data Japan. Medication status for hypertension, diabetes, and dyslipidemia was used to determine the prevalence of each disorder. Responses to lifestyle habit questions were used as lifestyle variables. Pearson's correlation coefficient (r) was calculated to determine the relationships between variables.

Results: Lifestyle habits that had a moderate or larger correlation with the prevalence of each disorder were identified by setting the criterion |r| > 0.5. Smoking, weight gain, chewing condition, eating speed, snacking, and alcohol consumption were associated with the prevalence of hypertension. Smoking, weight gain, and chewing conditions correlated with the prevalence of diabetes. No single lifestyle habit showed correlations above the set criterion for dyslipidemia prevalence.

Conclusion: Due to the diversity of lifestyle habits of residents within each of the 47 Japanese prefectures, the prefecture-based dataset in NDB Open Data Japan is pragmatic and useful for epidemiologically investigating the association between lifestyle habits and the prevalence of disorders of interest. It would be important to raise the alarm about the lifestyle habits identified in the present study to reduce the risk of developing the corresponding disorders.