Abstract

The aim of the present cross-sectional study was to analyze the factors that affect endocrine disorders in the Korean elderly. The data were taken from the A Study of the Seoul Welfare Panel Study 2010. The subjects were 2111 people (879 males, 1,232 females) aged 60 and older living in the community. The dependent variable was defined as the prevalence of endocrine disorders. The explanatory variables were gender, level of education, household income, employment status, marital status, drinking, smoking, BMI, subjective health status, physical activity, experience of stress, and depression. In the Classification and Regression Tree (CART) algorithm analysis, subjective health status, BMI, education level, and household income were significantly associated with endocrine disorders in the Korean elderly. The most preferentially involved predictor was subjective health status. The development of guidelines and health education to prevent endocrine disorders is required for taking multiple risk factors into account.

Highlights

  • One of the biggest difficulties in old age is health problems [1]

  • Classification And Regression Tree (CART) is a datamining algorithm suggested by Breiman in 1984 which measures impurities by using Gini Index and performs binary split that only forms 2 children nodes from the parent's node [17]

  • The prevalence of endocrine disorders was higher in unemployed(18.7%), non-drinkers(19.4%), obesity(21.8%) those with bad subjective health(25.1%), those who are under stress (21.1%), those with depression symptoms (22.2%), unemployed (18.7%), non-drinkers (19.4%), obesity (21.8%) and subjective poor health (25.1%), stress received (21.1%), that depressive symptoms (22.2%)

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Summary

INTRODUCTION

One of the biggest difficulties in old age is health problems [1]. Among them, endocrine disorders, such as diabetes, are known as typical old-age chronic diseases [2]. As it is necessary to manage risk factors, such as life habits, to prevent endocrine disorders and complications, it is important to elucidate related factors that affect endocrine disorders to ensure healthy aging, especially in old age. A high level of education and income, participation in social activities, and positive social recognition have been reported as protective factors against endocrine disorders [2, 4, 9] These protective factors play a role in decreasing the risk of endocrine disorders by promoting positive health-related behaviors. A vital theme in maintaining health in old age is determining complex factors related to old-age endocrine disorders and predicting high-risk groups.

Study population
Measurements
STATISTICAL ANALYSIS
RESULTS
Prediction model for endocrine disorders using CART algorithm
CONCLUSION
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