农业农村社会经济数据:资源与方法

2022年陕西省农村居民食物消费与营养健康调查统计数据集

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  • 1.西北农林科技大学经济管理学院,陕西 杨凌 712100
    2.西北农林科技大学六次产业研究院,陕西 杨凌 712100
    3.西北农林科技大学中德农业与食物经济研究中心,陕西 杨凌 712100
张丽霞,E-mail: xnjgzlx@163.com

收稿日期: 2023-08-29

  录用日期: 2023-09-29

  网络出版日期: 2024-01-05

基金资助

陕西省科技厅秦创原引用高层次创新创业人才项目(QCYRCXM-2022-145);西北农林科技大学引进人才项目(Z1010422003)

A Dataset of the Statistics on Food Consumption and Nutrition- related Health of Rural Residents in Shaanxi Rural Areas in 2022

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  • 1. College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China
    2. Six Industrial Research Institute, Northwest A&F University, Yangling 712100, Shaanxi, China
    3. Sino-German Center for Agricultural and Food Economics, Northwest A&F University, Yangling 712100, Shaanxi, China

Received date: 2023-08-29

  Accepted date: 2023-09-29

  Online published: 2024-01-05

摘要

随着社会经济发展和收入水平的提升,中国大部分居民营养健康状况明显改善,但农村地区仍面临营养不足与过剩并存、膳食结构不合理、营养疾病多发等问题。因此,文章以陕西省为例,分析了陕北、关中、陕南农村居民在食物消费与营养健康方面差异,旨在探索三大区域健康膳食模式及有效干预措施,为解决农村居民营养失衡提供重要参考。采用多阶段分层随机抽样方法进行微观调研,共发放问卷540份,有效问卷530份,有效率高达98.14%。本次调查以电子版问卷为主,以纸质版问卷为辅,采取入户一对一现场深度访谈的形式开展。调研问卷主要包括村庄和家庭基本情况、居民年收入及支出、居民食物消费、食物网购、身体健康状况及医疗支出等信息。综上,陕西省农村居民食物消费与营养健康数据集的共享,为改善居民食物消费结构,促进膳食营养提供了数据支持,助推了食物消费升级和营养健康转型。

数据摘要:

项目 描述
数据库(集)名称 2022年陕西省农村居民食物消费与营养健康调查统计数据集
所属学科 微观经济学,劳动经济学,农村经济学
研究主题 食物消费与营养健康
数据时间范围 2022年8月
时间分辨率 天度、月度
数据地理空间覆盖 陕西省6县农村地区
空间分辨率 市、县、乡
数据类型与技术格式 *.dta
数据库(集)组成 数据集为2022年8月陕西省农村居民食物消费与营养健康调查统计数据集,包括村级数据和居民个人数据两部分。村级数据包括村基本情况;个人数据包括居民基本情况、2天24小时膳食回顾、简化食物频率、食物网购、身体健康状况、医疗支出等
数据量 612 KB
主要数据指标 村级数据包括村基本情况;个人数据包括居民基本情况、2天24小时膳食回顾、简化食物频率、食物网购、身体健康状况、医疗支出等
数据可用性 CSTR:17058.11.sciencedb.agriculture.00039
DOI:10.57760/sciencedb.agriculture.00039
https://www.scidb.cn/en/anonymous/cjJtWWIy
经费支持 陕西省科技厅秦创原引用高层次创新创业人才项目(QCYRCXM-2022-145),西北农林科技大学引进人才项目(Z1010422003)

本文引用格式

张丽霞, 刘奇, 李绍亭, 任彦军 . 2022年陕西省农村居民食物消费与营养健康调查统计数据集[J]. 农业大数据学报, 2023 , 5(4) : 118 -124 . DOI: 10.19788/j.issn.2096-6369.230415

Abstract

While the nutrition-related health of Chinese residents has been significantly improved with the development of the economy and the improvement of life quality, insufficient and excessive nutrition, unreasonable dietary collocation, and frequent nutritional diseases exist in rural areas. Shaanxi Province, one of the provinces diverse in food consumption, covers three regions geographically, namely, Northern Shaanxi, Central Shaanxi, and Southern Shaanxi. Examining the differences in food consumption and nutrition-related health of rural residents and exploring the sustainable, healthy dietary patterns and effective intervention measures in the three regions are of great reference significance for solving the problem of nutritional imbalance in the vast rural areas of China. In this paper, multi-stage stratified sampling and random sampling are adopted to select samples among rural residents from 6 counties of Shaanxi Province. 540 questionnaires were distributed and 530 valid ones were recovered, with the effective rate being 98.14%. The questionnaires take the form of electronic ones and are supplemented by paper questionnaires. The one-to-one, on-site, and in-depth interviews are conducted. The question items include village basic information, basic information of rural residents, residents' annual income and expenditure, residents’ food consumption, food shopping online, physical condition, and medical expenditure. In this data set, the basic data are preprocessed in terms of unreasonable data, complete missing values, etc., to ensure the rationality, authenticity, and validity of the data. The sharing of data sets is expected to support the research on food consumption and nutrition-related health of rural residents in Shaanxi Province and to promote the upgrading of food consumption and the transformation of nutrition-related health of rural residents. The weakness of this dataset lies in the one-year span of data collection. Therefore, long-term data monitoring systems is necessary in the future to track trends in food consumption and nutritional health in rural areas to support sustainable research and policy development.

Data summary:

Item Description
Dataset name A Dataset of the Statistics on Food Consumption and Nutrition-related Health of Rural Residents in Shaanxi Rural Areas
Specific subject area Microeconomics, Labor economics, Rural economics
Research topic Food consumption and nutrition-related health
Time range August 2022
Temporal resolution Day, month
Geographical scope 6 counties rural areas in Shaanxi Province
Spatial resolution Prefecture-level city, county, township
Data types and technical formats *.dta
Dataset structure The data set is the statistical data set of food consumption and nutrition-related health survey of rural residents in Shaanxi Province in August 2022, including village-level data and residents’ data. Village-level data includes the basic situation of the village; Personal data includes basic information of residents, 24-hour meal review for 2 days, simplified food frequency, food online shopping, physical health status, medical expenses, etc.
Volume of data 612 KB
Key index in dataset Village-level data include the basic situation of the village; Personal data includes basic information of residents, 24-hour meal review for 2 days, simplified food frequency, food online shopping, physical health status, medical expenses, etc.
Data accessibility CSTR:17058.11.sciencedb.agriculture.00039
DOI:10.57760/sciencedb.agriculture.00039
https://www.scidb.cn/en/anonymous/cjJtWWIy
Financial support Qin Chuangyuan, Science and Technology Department of Shaanxi Province, cited the High-level Innovation and Entrepreneurship Talent Project (QCYRCXM-2022-145), and the Talent Introduction Project of Northwest A&F University (Z1010422003)

参考文献

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[10] 封志明, 史登峰. 近20年来中国食物消费变化与膳食营养状况评价[J]. 资源科学, 2006 (1): 2-8.
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