Kim Mun Seok, Chu Chaeshin, Kim Yongkuk
Department of Mathematics, Kyungpook National University, Daegu, Korea.
Osong Public Health Res Perspect. 2011 Sep;2(2):135-40. doi: 10.1016/j.phrp.2011.08.004. Epub 2011 Aug 5.
To analyze the incidence of obesity in adults aged 19-59 years in Korea and predict its trend in the future.
We considered a two-compartmental deterministic mathematical model Susceptible-Infected-Susceptible (SIS), a system of difference equations, to predict the evolution of obesity in the population and to propose strategies to reduce its incidence.
The prevention strategy on normal-weight individuals produced a greater improvement than that produced by treatment strategies.
Mathematical model sensitivity analysis suggests that obesity prevention strategies are more effective than obesity treatment strategies in controlling the increase of adult obesity in Korea.
分析韩国19至59岁成年人肥胖症的发病率,并预测其未来趋势。
我们考虑了一个两分区确定性数学模型——易感-感染-易感(SIS),即一个差分方程系统,以预测人群中肥胖症的演变,并提出降低其发病率的策略。
针对体重正常个体的预防策略比治疗策略带来了更大的改善。
数学模型敏感性分析表明,在控制韩国成年人肥胖症增加方面,肥胖预防策略比肥胖治疗策略更有效。