Faculdade de Ciências Biológicas e da Saúde, Universidade São Judas Tadeu, São Paulo, Brazil.
Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José, Costa Rica.
Nutr Res. 2019 Aug;68:9-18. doi: 10.1016/j.nutres.2019.05.007. Epub 2019 May 28.
Underreporting and overreporting of energy intake (EI) have been recognized as potential sources of bias. Dietary data mainly rely on proxy respondents, but little is known about the determinants of misreporting of EI among Latin American (LA) populations. This study was conducted using data from the multicenter Latin American Study of Nutrition and Health that consisted of information about sociodemographics, physical activity, and dietary intake from 9218 individuals aged 15 to 65 years who were living in urban areas in 8 LA countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru, and Venezuela). Goldberg methodology was applied to classify the participants into categories of overreporter (OR), plausible reporter (PR), or underreporter (UR) of EI. Associations between misreporting and covariates were examined by the Kruskal-Wallis test, logistic regression, and linear regression. The prevalence of UR was 12.1% and OR was 14.1%. Costa Rica had the highest percentage of UR (24.4%) and the lowest of OR (7.3%), and Colombia had the lowest of UR (5.7%) and the highest of OR (22.4%). Furthermore, underreporters were more likely to be females from older groups with minimal education, white, physically active, overweight or obese, and living in Costa Rica. Overreporters were more likely to be younger, single, of low socioeconomic level, nonwhite, physically active, underweight or with normal weight, and from Colombia. The results demonstrated that sex, age, race, education status, and nationality seemed to influence the reporting behavior, which is essential to correctly interpreting potentially biased associations between diet and health outcomes, and improving nutritional interventions and public health policies.
能量摄入(EI)的少报和多报已被认为是潜在的偏倚来源。饮食数据主要依赖于代理受访者,但对于拉丁美洲(LA)人群中 EI 误报的决定因素知之甚少。本研究使用了多中心拉丁美洲营养与健康研究的数据,该研究包含了来自 8 个 LA 国家(阿根廷、巴西、智利、哥伦比亚、哥斯达黎加、厄瓜多尔、秘鲁和委内瑞拉)城市地区 9218 名 15 至 65 岁个体的社会人口统计学、身体活动和饮食摄入信息。应用 Goldberg 方法将参与者分为 EI 多报者(OR)、合理报者(PR)或少报者(UR)。通过 Kruskal-Wallis 检验、逻辑回归和线性回归检查误报与协变量之间的关联。UR 的患病率为 12.1%,OR 为 14.1%。哥斯达黎加的 UR 比例最高(24.4%),OR 比例最低(7.3%),哥伦比亚的 UR 比例最低(5.7%),OR 比例最高(22.4%)。此外,少报者更可能是来自教育程度较低的老年组的女性、白种人、体力活动者、超重或肥胖者,并且居住在哥斯达黎加。多报者更可能是年轻、单身、社会经济水平低、非白种人、体力活动者、体重过轻或体重正常者,并且来自哥伦比亚。结果表明,性别、年龄、种族、教育程度和国籍似乎影响报告行为,这对于正确解释饮食与健康结果之间潜在的偏倚关联、改善营养干预和公共卫生政策至关重要。