Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors.
10.4162/nrp.2018.12.3.251
- Author:
Inkyung BAIK
1
Author Information
1. Department of Foods and Nutrition, College of Science and Technology, 77, Jeongnung-ro, Seongbuk-gu, Kookmin University, Seoul 02707, Korea. ibaik@kookmin.ac.kr
- Publication Type:Original Article
- Keywords:
Obesity;
abdominal fat;
prevalence;
risk factors;
forecasting
- MeSH:
Abdominal Fat;
Adult*;
Alcohol Drinking;
Birth Rate;
Female;
Forecasting*;
Humans;
Information Services;
Korea;
Life Style;
Logistic Models;
Male;
Marital Status;
Nutrition Surveys;
Obesity*;
Obesity, Abdominal;
Prevalence*;
Psychology;
Risk Factors;
Smoke;
Smoking
- From:Nutrition Research and Practice
2018;12(3):251-257
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND/OBJECTIVES: There are few studies that forecast the future prevalence of obesity based on the predicted prevalence model including contributing factors. The present study aimed to identify factors associated with obesity and construct forecasting models including significant contributing factors to estimate the 2020 and 2030 prevalence of obesity and abdominal obesity. SUBJECTS/METHODS: Panel data from the Korea National Health and Nutrition Examination Survey and national statistics from the Korean Statistical Information Service were used for the analysis. The study subjects were 17,685 male and 24,899 female adults aged 19 years or older. The outcome variables were the prevalence of obesity (body mass index ≥ 25 kg/m2) and abdominal obesity (waist circumference ≥ 90 cm for men and ≥ 85 cm for women). Stepwise logistic regression analysis was used to select significant variables from potential exposures. RESULTS: The survey year, age, marital status, job status, income status, smoking, alcohol consumption, sleep duration, psychological factors, dietary intake, and fertility rate were found to contribute to the prevalence of obesity and abdominal obesity. Based on the forecasting models including these variables, the 2020 and 2030 estimates for obesity prevalence were 47% and 62% for men and 32% and 37% for women, respectively. CONCLUSIONS: The present study suggested an increased prevalence of obesity and abdominal obesity in 2020 and 2030. Lifestyle factors were found to be significantly associated with the increasing trend in obesity prevalence and, therefore, they may require modification to prevent the rising trend.
