Ferretti Fabrizio, Mariani Michele
Department of Communication and Economics, School of Social Sciences, University of Modena and Reggio Emilia, Palazzo Dossetti-Viale Allegri 9, 42121 Reggio Emilia, Italy.
Int J Environ Res Public Health. 2017 Oct 4;14(10):1174. doi: 10.3390/ijerph14101174.
Nowadays, obesity and being overweight are among the major global health concerns. Many, diet-related diseases impose high tangible and intangible costs, and threaten the sustainability of health-care systems worldwide. In this study, we model, at the macroeconomic level, the impact of energy intake from different types of carbohydrates on the population's BMI (body mass index). We proceed in three steps. First, we develop a framework to analyse both the consumption choices between simple and complex carbohydrates and the effects of these choices on people health conditions. Second, we collect figures for 185 countries (over the period 2012-2014) regarding the shares of simple (sugar and sweetener) and complex (cereal) carbohydrates in each country's total dietary energy supply. Third, we use regression techniques to: (1) estimate the impact of these shares on the country's prevalence of obesity and being overweight; (2) compute for each country an indicator of dietary pattern based on the ratio between simple and complex carbohydrates, weighted by their estimated effects on the prevalence of obesity and being overweight; and (3) measure the elasticity of the prevalence of obesity and being overweight with respect to changes in both carbohydrate dietary pattern and income per capita. We find that unhealthy eating habits and the associated prevalence of excessive body fat accumulation tend to behave as a 'normal good' in low, medium- and high-HDI (Human Development Index) countries, but as an 'inferior good' in very high-HDI countries.
如今,肥胖和超重是全球主要的健康问题。许多与饮食相关的疾病带来了高昂的有形和无形代价,并威胁到全球医疗保健系统的可持续性。在本研究中,我们在宏观经济层面建立模型,分析不同类型碳水化合物的能量摄入对人群体重指数(BMI)的影响。我们分三步进行。首先,我们建立一个框架,以分析简单碳水化合物和复杂碳水化合物之间的消费选择以及这些选择对人们健康状况的影响。其次,我们收集了185个国家(2012 - 2014年期间)关于简单(糖和甜味剂)和复杂(谷物)碳水化合物在每个国家总膳食能量供应中所占份额的数据。第三,我们使用回归技术来:(1)估计这些份额对该国肥胖和超重患病率的影响;(2)根据简单碳水化合物与复杂碳水化合物的比例,为每个国家计算一个饮食模式指标,并根据它们对肥胖和超重患病率的估计影响进行加权;(3)衡量肥胖和超重患病率相对于碳水化合物饮食模式和人均收入变化的弹性。我们发现,在低、中、高人类发展指数(HDI)国家,不健康的饮食习惯以及与之相关的过度体脂积累患病率往往表现为“正常商品”,但在非常高人类发展指数国家则表现为“劣质商品”。