多维饮食模式及其与加拿大成年人社会人口统计学特征交叉的共同关联:一个横截面研究
Joy M Hutchinson1,2, Dylan Spicker3, Benoît Lamarche1,2
1Centre Nutrition, santé et société (NUTRISS), Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec, QC, Canada.
概括
这项研究揭示了年龄和性别如何显著影响加拿大的成人饮食模式,突出了食物选择和社会人口统计因素之间的复杂关系,以获得更好的公共卫生见解.
科学领域:
- 营养科学 营养科学
- 公共卫生 公共卫生
- 社会学 社会学 社会学
背景情况:
- 饮食模式是复杂的,受多种食物成分和个体社会人口统计特征的影响.
- 现有的研究往往无法解释社会人口统计学因素和饮食习惯之间的复杂相互作用.
- 了解这些共同关系对于制定有效的卫生政策和计划至关重要.
研究的目的:
- 调查加拿大成年人的各种社会人口统计特征和饮食模式之间的联合关联.
- 探索饮食成分和社会人口统计学变量之间的关系网络.
主要方法:
- 利用了来自2015年加拿大社区健康调查营养的24小时饮食回忆数据 (n=14,097名18岁以上的成年人).
- 采用了三种混合图形模型来分析包括30个日志转化食品组,性别,年龄,家庭粮食安全,收入,就业,教育,地区和吸烟状况在内的网络.
- 研究了饮食成分和社会人口统计因素之间的双对关系和网络连接.
主要成果:
- 在饮食成分和社会人口统计特征中发现了最强的关联.
- 年龄与谷物,咖啡/茶和全谷物有显著的关联.
- 性行为与甜饮,酒精,肉和红肉消费密切相关.
- 观察到饮食取代的证据,例如精制谷物取代全谷物.
- 年龄和性别成为与饮食成分相关的最有影响力的社会人口统计因素.
结论:
- 共同分析社会人口学特征和多维饮食模式,可以更全面地了解饮食异质性.
- 调查结果强调了年龄和性别在塑造加拿大成年人饮食习惯中的重要作用.
- 这种方法可以为有针对性的公共卫生干预和政策提供信息,以促进更健康的饮食行为.
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