Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Nutrients. 2022 May 7;14(9):1955. doi: 10.3390/nu14091955.
Dietary imbalances are an important cause of morbidity and mortality, both in China and globally. Abnormal element content in the natural environment and the unbalanced dietary structure of populations coexist in the Tibetan Plateau. This study analyzed the dietary and food consumption patterns of 617 Tibetan residents and their associated factors. Cluster analysis revealed three modes of dietary pattern; the food consumption scores (FCSs) of subjects in modes with relatively high consumption frequency of staple food and relatively singular dietary structure were the lowest. Although the FCSs of most subjects were acceptable (FCS > 35), subjects with relatively low FCSs were more dependent on locally cultivated highland barley that is probably low in selenium. Hierarchical linear models revealed both individual−family and regional factors were significantly related (p values < 0.05) with the food consumption of subjects as follows: age, travel time from township to county, and cultivation area of highland barley were negatively related; numbers of individuals aged 40−60 years and pork, beef, and mutton production were positively related. Individuals with secondary or higher education had higher FCSs. A single indicator may be incomprehensive in dietary and food consumption studies. For people with a relatively unbalanced diet, an analysis of the main foods they consume is critical. Dietary and food consumption patterns might have relatively large inter-regional and intra-regional variations; therefore, factors that influence it might be multi-level and multi-scale.
饮食失衡是造成中、外人群发病和死亡的一个重要原因。青藏高原自然环境中元素含量异常与人群膳食结构不平衡并存。本研究分析了 617 名藏族居民的饮食和食物消费模式及其相关因素。聚类分析揭示了 3 种饮食模式;主食消费频率相对较高、膳食结构相对单一的人群的食物消费得分(FCS)最低。尽管大多数研究对象的 FCS 尚可(FCS>35),但 FCS 相对较低的研究对象可能更依赖于当地种植的、可能硒含量较低的青稞。分层线性模型显示,个体-家庭和地区因素均与研究对象的食物消费显著相关(p 值<0.05),具体如下:从乡镇到县城的旅行时间和青稞种植面积与年龄呈负相关;40~60 岁人群数量、猪肉、牛肉和羊肉产量与年龄呈正相关。受过中等或高等教育的个体具有更高的 FCS。单一指标在饮食和食物消费研究中可能不够全面。对于饮食相对不均衡的人群,分析其主要食物的消费情况至关重要。饮食和食物消费模式可能具有较大的区域间和区域内差异;因此,影响因素可能是多层次和多尺度的。