Centro de Investigaciones y Estudios sobre Cultura y Sociedad (CIECS), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad Nacional de Córdoba,Córdoba,Argentina.
Nutrición, Facultad de Ciencias de la Salud, Universidad Católica de Córdoba,Córdoba,Argentina.
Public Health Nutr. 2019 Aug;22(12):2237-2247. doi: 10.1017/S1368980019000429. Epub 2019 Mar 12.
The present study aimed to identify nutrition transition (NT) profiles in Argentina (2005-2013) and assess their association with obesity in the adult population.
A large cross-sectional study was performed considering data sets of nationally representative surveys. A multiple correspondence analysis coupled with hierarchical clustering was conducted to detect geographical clusters of association among sociodemographic and NT indicators. Multilevel logistic regression models were used to assess the effect of NT profile (proxy variable of contextual order) on obesity occurrence.
First, we used geographically aggregated data about the adult and child populations in Argentina. Second, we defined the population of adults who participated in the National Survey of Chronic Disease Risk Factors (2013) as the study population.ParticipantsTwenty-four geographical units that make up the territory of Argentina and 32 365 individuals over 18 years old living in towns of at least 5000 people.
Three NT profiles were identified: 'Socionutritional lag' (characterized by undernutrition and socio-economically disadvantaged conditions; profile 1); 'Double burden of malnutrition' (undernutrition and overweight in highly urbanized scenarios; profile 2); and 'Incipient socionutritional improvement' (low prevalence of malnutrition and more favourable poverty indicator values; profile 3). Profiles 1 and 2 were significantly associated (OR; 95 % CI) with a higher risk of obesity occurrence in adults (1·17; 1·02, 1·32 and 1·44; 1·26, 1·64, respectively) compared with profile 3.
Argentina is facing different NT processes, where sociodemographic factors play a major role in shaping diverse NT profiles. Most of the identified profiles were linked to obesity burden in adults.
本研究旨在确定阿根廷（2005-2013 年）的营养转型（NT）模式，并评估其与成年人群肥胖的关系。
本研究采用大型横断面研究，考虑了具有代表性的全国性调查数据集。采用多元对应分析和层次聚类来检测社会人口统计学和 NT 指标之间的地理关联聚类。采用多水平逻辑回归模型来评估 NT 模式（上下文顺序的代理变量）对肥胖发生的影响。
首先，我们使用阿根廷成年和儿童人口的地理汇总数据。其次，我们将参加全国慢性病危险因素调查（2013 年）的成年人定义为研究人群。
由阿根廷 24 个地理单元和 32365 名居住在至少 5000 人的城镇中的 18 岁以上个体组成。
确定了三种 NT 模式：“社会营养滞后”（表现为营养不良和社会经济条件不利；模式 1）；“营养不良和超重的双重负担”（高度城市化背景下的营养不良和超重；模式 2）；和“社会营养状况初步改善”（营养不良的患病率较低，贫困指标值更为有利；模式 3）。与模式 3 相比，模式 1 和 2 与成年人肥胖发生的风险增加显著相关（比值比；95%可信区间）（1.17；1.02，1.32 和 1.44；1.26，1.64）。
阿根廷正面临不同的 NT 进程，其中社会人口因素在塑造不同的 NT 模式中起着重要作用。大多数确定的模式与成年人肥胖负担有关。
