教育程度、土著身份和种族/民族的交叉点最能预测加拿大成年人的饮食质量:一项条件随机森林分析。

IF 4 2区 医学 Q2 NUTRITION & DIETETICS
Natalie Doan, Martin J Cooke, Michael P Wallace, Elena Neiterman, Dana Lee Olstad
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引用次数: 0

摘要

背景:众所周知,饮食质量会根据社会经济地位(SEP)的多个维度而变化,但这些维度如何共同影响饮食质量仍是未知的。考虑到与一个SEP维度(例如,收入)相关的饮食质量可能在另一个维度(例如,种族/民族)之间系统性地存在差异,有必要研究跨SEP交叉点的饮食质量。目的:确定SEP交叉点,最好地预测加拿大成年人饮食质量的高低。设计:来自2015年加拿大社区健康调查-营养横断面的基于人群的数据。数据由访问选定住所的采访者收集,以收集家庭信息并管理一般健康问卷,同时进行24小时饮食召回。参与者/环境:来自加拿大10个省的13617名成年人(≥18岁)的数据。主要结局指标:根据健康饮食指数-2015 (HEI-2015,范围0-100),采用24小时饮食回忆数据评估饮食质量。进行统计分析:条件随机森林(CRF)是一种监督机器学习技术,用于识别12个SEP指标中最能单独预测HEI-2015分数的4个指标。由此得出的四个最重要的预测因子被用来使用所有可能的双向交叉来预测饮食质量。结果:基于CRF变量重要性度量的HEI-2015得分的四个最重要的交叉预测因子是:(1)受教育程度与土著身份和种族/民族,(2)受教育程度与家庭粮食不安全,(3)受教育程度与性别/性别,(4)家庭粮食不安全与性别/性别。在这四个SEP交叉点中,生活在严重粮食不安全家庭的没有高中文凭的人的预测HEI-2015得分最低(55.7分),而没有高中文凭的中东人的预测得分最高(64.5分)。结论:受教育程度、土著身份和种族/民族定义的SEP交集是加拿大成年人饮食质量的最重要预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intersections of educational attainment, Indigenous identity and race/ethnicity best predicted diet quality among adults in Canada: A conditional random forests analysis.

Background: While it is well-known that diet quality varies according to multiple dimensions of socioeconomic position (SEP), much remains unknown about how these dimensions together shape diet quality. Given that diet quality associated with one SEP dimension (e.g., income) can systematically differ across another dimension (e.g., race/ethnicity), it is necessary to investigate diet quality across SEP intersections.

Objectives: To identify SEP intersections that best predicted lower and higher diet quality among adults in Canada.

Design: Population-based data from the cross-sectional 2015 Canadian Community Health Survey - Nutrition. Data were collected by interviewers who visited selected dwellings to collect household information and administer a general health questionnaire, along with a 24-hour dietary recall.

Participants/setting: Data from 13,617 adults (≥18 years) living in Canada's ten provinces.

Main outcome measures: 24-hour dietary recall data were used to assess diet quality, based on the Healthy Eating Index-2015 (HEI-2015; range 0-100).

Statistical analyses performed: Conditional random forests (CRF), a supervised machine learning technique, were used to identify the four (out of 12) SEP indicators that best individually predicted HEI-2015 scores. The resulting four most important predictors were used to predict diet quality using all possible two-way intersections.

Results: The four most important intersectional predictors of HEI-2015 scores based on CRF variable importance measures were: (1) educational attainment and Indigenous identity and race/ethnicity, (2) educational attainment and household food insecurity, (3) educational attainment and sex/gender, and (4) household food insecurity and sex/gender. Among these four SEP intersections, individuals without a high school diploma living in a severely food insecure household had the lowest (55.7), while individuals without a high school diploma identifying as Middle Eastern had the highest (64.5) predicted HEI-2015 scores.

Conclusion: The SEP intersection defined by educational attainment and Indigenous identity and race/ethnicity was the most important predictor of diet quality among adults in Canada.

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来源期刊
CiteScore
7.20
自引率
10.40%
发文量
649
审稿时长
68 days
期刊介绍: The Journal of the Academy of Nutrition and Dietetics is the premier source for the practice and science of food, nutrition, and dietetics. The monthly, peer-reviewed journal presents original articles prepared by scholars and practitioners and is the most widely read professional publication in the field. The Journal focuses on advancing professional knowledge across the range of research and practice issues such as: nutritional science, medical nutrition therapy, public health nutrition, food science and biotechnology, foodservice systems, leadership and management, and dietetics education.
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