Dietary diversity and healthy weight management in the population: a data-driven analytical approach

Wenwen Zhang, Jianting Ye, Haodi Zhang
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Abstract

Cardiovascular and cerebrovascular diseases (CVDs), diabetes mellitus, malignant tumours and chronic obstructive pulmonary disease (COPD), as typical chronic non-communicable diseases (NCDs), have increasingly become the major factors threatening the health of Chinese residents. In view of this, this study aimed to deeply analyse the key indicators and their interrelationships affecting the health status of the population, using the eight dietary balance criteria proposed in the newly revised Dietary Guidelines for Chinese Residents of the Chinese Society of Nutrition to screen and process the relevant health indicators. By constructing a comprehensive evaluation model and visualising the data, this study reveals the irrational factors in residents' dietary habits, such as high-fat diet and excessive alcohol consumption, which pose potential risks to residents' health. In addition, this paper explores the relationship between residents' dietary habits, exercise frequency and healthy body weight, aiming to provide a scientific basis and practical guidance for improving public health.
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膳食多样性与健康体重管理:一种数据驱动的分析方法
心脑血管疾病、糖尿病、恶性肿瘤和慢性阻塞性肺疾病作为典型的慢性非传染性疾病,已日益成为威胁我国居民健康的主要因素。有鉴于此,本研究以中国营养学会新修订的《中国居民膳食指南》中提出的八项膳食平衡标准为依据,筛选和处理相关健康指标,深入分析影响居民健康状况的关键指标及其相互关系。通过构建综合评价模型和数据可视化,本研究揭示了居民膳食习惯中存在的不合理因素,如高脂肪饮食、过量饮酒等对居民健康构成的潜在风险。此外,本文还探讨了居民膳食习惯、运动频率与健康体重之间的关系,旨在为提高公众健康水平提供科学依据和实践指导。
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