Department of Nutrition, Faculty of Health Sciences, University of Brasilia, Brasilia 70910-900, Brazil.
Nutrients. 2019 Apr 8;11(4):798. doi: 10.3390/nu11040798.
Non-communicable diseases are increasing worldwide, and it has been known that sugar intake is associated with health implications. Studies show that sugar consumption is high among the low-income population. In Brazil, there is a Food Assistance Program to offer inexpensive and healthy meals to the low-income population, aiming to improve their health. However, no study has evaluated either the amount of sugar consumption by the Brazilian low-income population or its distribution among the consumed products. This work aimed to analyze the sugar (sucrose) consumption by the Brazilian low-income population. We carried out a cross-sectional and descriptive study to evaluate the typical customers of a popular restaurant (PR) in Brazil (a Brazilian Food Assistance Program for low-income people). In the final sample, 1232 adult PR customers were surveyed. The exclusion criteria were pregnant women, diabetics, or people following any special diet with sucrose restrictions. Individuals were selected at lunchtime while they were in line waiting to collect their meal. Invitations to participate occurred to the first person in line, then the 15th person, and this pattern was used until the sample was completed. Three-day 24 h recall was used to evaluate sugar consumption. Sociodemographic and anthropometric data were collected to allow profiling of the customers. A statistical analysis of the data with descriptive nature (frequency, mean, median, percentage, and standard deviation) was performed to characterize the sample. For all the analyses, statistical normality tests were performed (Kolmogorov⁻Smirnov) to verify the statistical test assumptions. The mean total energy value (TEV) over the evaluated three-day period was 1980.23 ± 726.75 kcal. A statistically significant difference was found between income groups ( < 0.01). The North and Northeast region presented the lowest mean income in Brazil, statistically different from the South ( < 0.01) and the Southeast ( < 0.01). The North region presented the lowest sugar intake from industrialized products-different from the Northeast ( = 0.007), the Southeast ( = 0.010), and the South ( = 0.043). Also, the North presented the lowest consumption for food prepared at home among other regions ( < 0.001). Total sugar (sucrose) intake did not differ according to body mass index ( = 0.321). There was no significant difference in sugar (sucrose) consumption among the three days ( = 0.078). The addition of sugar (sucrose) contributed to 36.7% of all sugar (sucrose), and sweetened beverages with 22.53%. Food prepared at home contributed 20.06% and industrialized products 22.53% of the sugar (sucrose) intake. Therefore, free sugar (sucrose) consumption is still the largest contributor to the total consumption of sugar (sucrose), followed by sweetened drinks, especially during the weekend. The average percentage of sugar (sucrose) intake is above the World Health Organization recommendation to consume less than 5% of the total energy that comes from sugars. Since this population presents a high percentage of overweight and obese, the sugar (sucrose) consumption could increase health implications, increasing the costs for public health.
非传染性疾病在全球范围内呈上升趋势,人们已经知道,糖的摄入量与健康状况有关。研究表明,低收入人群的糖摄入量很高。在巴西,有一个食品援助计划,为低收入人群提供廉价和健康的膳食,旨在改善他们的健康。然而,尚无研究评估巴西低收入人群的糖摄入量或其在消费产品中的分布情况。本研究旨在分析巴西低收入人群的糖(蔗糖)摄入量。我们进行了一项横断面和描述性研究,以评估巴西一家受欢迎的餐厅(PR)的典型顾客(巴西的一项针对低收入人群的食品援助计划)。在最终样本中,调查了 1232 名成年 PR 顾客。排除标准为孕妇、糖尿病患者或遵循任何特殊饮食限制蔗糖的人。在午餐时间,当人们在排队领取餐食时,对个人进行了选择。邀请第一个排队的人参加,然后是第 15 个人,然后按照这种模式继续,直到完成样本。使用三天 24 小时回顾法来评估糖的摄入量。收集社会人口统计学和人体测量学数据,以对顾客进行分析。使用具有描述性(频率、平均值、中位数、百分比和标准差)性质的数据分析数据,以描述样本。对于所有分析,均进行了正态性检验(Kolmogorov-Smirnov),以验证统计检验假设。评估期内的平均总能量值(TEV)为 1980.23±726.75kcal。不同收入组之间存在统计学差异(<0.01)。北部和东北部地区的平均收入最低,与南部(<0.01)和东南部(<0.01)地区存在统计学差异。北部地区从工业化产品中摄入的糖最低,与东北部(=0.007)、东南部(=0.010)和南部(=0.043)地区不同。此外,北部地区在家准备的食物的消耗量在其他地区中最低(<0.001)。总糖(蔗糖)摄入量与体重指数(BMI)无关(=0.321)。三天之间的糖(蔗糖)摄入量没有差异(=0.078)。糖(蔗糖)的添加量占总糖(蔗糖)的 36.7%,加糖饮料占 22.53%。在家准备的食物占糖(蔗糖)摄入量的 20.06%,工业化产品占 22.53%。因此,游离糖(蔗糖)的摄入量仍然是糖(蔗糖)总摄入量的最大贡献者,其次是加糖饮料,尤其是在周末。糖(蔗糖)摄入量的平均百分比高于世界卫生组织建议的总能量摄入中来自糖的摄入量应少于 5%的建议。由于该人群的超重和肥胖比例较高,糖(蔗糖)的摄入量可能会增加健康影响,增加公共卫生的成本。