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

Wenwen Zhang, Jianting Ye, Haodi Zhang
{"title":"Dietary diversity and healthy weight management in the population: a data-driven analytical approach","authors":"Wenwen Zhang, Jianting Ye, Haodi Zhang","doi":"10.62051/gw2p5t41","DOIUrl":null,"url":null,"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.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Computer Science and Intelligent Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62051/gw2p5t41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信