Faculty of Health Sciences, Universidad Científica del Sur, Lima 15067, Peru.
Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15024, Peru.
Nutrients. 2023 Feb 9;15(4):885. doi: 10.3390/nu15040885.
To determine the socioeconomic and demographic factors associated with the influence of the nutritional traffic light (NTL) on the decision to purchase processed foods using information from the National Health and Nutrition Survey (ENSANUT) 2018 of Ecuador, a cross-sectional and analytical study based on a secondary analysis of the information from the ENSANUT 2018 was performed. We collected data from 25,932 participants 18 years of age or older who knew or had seen the NTL, and for whom complete information on the variables of interest for the study was available. The "Influence of the NTL on the purchase decision of processed foods" was the outcome variable of the study. Generalized linear models of the Poisson family, with log link, were used to assess the association between socioeconomic factors and outcome, using crude (PR) and adjusted (aPR) prevalence ratios, with 95% confidence intervals (CI) and a -value < 0.05. Participants who understood the NTL (aPR: 2.49; 95% CI: 2.19-2.83), with a higher educational level (aPR: 1.33; 95% CI: 1.09-1.61), women (aPR 1.06; 95% CI: 1.01-1.10), and who had a partner (aPR 1.09; 95% CI: 1.04-1.14) were more likely to be influenced by the NTL when deciding to purchase processed foods, compared to people who did not understand the NTL, who had no educational level or who only attended a literacy center, were men, and those without a partner. The inhabitants of the coastal region (aPR: 0.92; 95% CI: 0.88-0.97), the Amazon (aPR 0.93; 95% CI: 0.88-0.98), and the insular region (aPR 0.76; 95% CI: 0.68-0.84) had few probabilities of being influenced by the NTL in the decision to purchase processed foods, in comparison with the residents of the highlands. Similarly, compared to non-poor people, poor people had a lower probability of being influenced by the NTL (aPR 0.89; 95% CI: 0.82-0.97). Factors associated with the influence of NTL on the decision to purchase processed foods were identified. It is recommended to reformulate and focus awareness strategies for using the NTL to purchase processed foods by taking into account the associated factors.
为了确定与营养红绿灯（NTL）对购买加工食品的决策产生影响相关的社会经济和人口统计学因素，我们利用 2018 年厄瓜多尔国家健康和营养调查（ENSANUT）的信息，进行了一项基于对 2018 年 ENSANUT 信息进行二次分析的横断面和分析性研究。我们收集了 25932 名年龄在 18 岁或以上的参与者的数据，这些参与者知道或见过 NTL，并且他们的研究相关变量的信息完整。研究的结果变量是“NTL 对加工食品购买决策的影响”。使用泊松家族的广义线性模型，对数链接，评估社会经济因素与结果之间的关联，使用粗（PR）和调整（aPR）患病率比，95%置信区间（CI）和 - 值<0.05。理解 NTL 的参与者（aPR：2.49；95%CI：2.19-2.83）、受教育程度较高（aPR：1.33；95%CI：1.09-1.61）、女性（aPR 1.06；95%CI：1.01-1.10）和有伴侣的人（aPR 1.09；95%CI：1.04-1.14）更有可能在决定购买加工食品时受到 NTL 的影响，而那些不理解 NTL、没有受教育程度或只参加扫盲中心、是男性和没有伴侣的人则不然。沿海地区（aPR：0.92；95%CI：0.88-0.97）、亚马逊地区（aPR 0.93；95%CI：0.88-0.98）和岛屿地区（aPR 0.76；95%CI：0.68-0.84）的居民在购买加工食品的决策中受到 NTL 影响的可能性较小，与高地居民相比。同样，与非贫困人口相比，贫困人口受到 NTL 影响的可能性较低（aPR 0.89；95%CI：0.82-0.97）。确定了与 NTL 对购买加工食品的决策产生影响相关的因素。建议在制定和实施使用 NTL 购买加工食品的意识策略时，考虑到相关因素。
