• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国人的能量摄入发生了怎样的变化?基于生命周期视角的研究。

How Does Energy Intake Change in China? A Life Cycle Perspective.

机构信息

Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Beijing 100081, China.

出版信息

Nutrients. 2023 Dec 21;16(1):43. doi: 10.3390/nu16010043.

DOI:10.3390/nu16010043
PMID:38201873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10781078/
Abstract

China's population is showing the characteristics of "fewer children" and "aging", which will have a long-term and far-reaching impact on the food and nutritional needs of China and the world. In this paper, adult equivalent scale () variables representing the household population structure were introduced into the energy intake model to quantify the impact of population structure changes on energy intake and reveal the characteristics of energy intake changes in the life cycle of Chinese residents. It is found that the change in the population structure has a significant impact on the energy intake of urban households in China, and the elasticity is 0.446. The energy intake of Chinese elderly over the age of 60 shows a trend of first increasing and then decreasing, especially after the age of 65, which indicates that the aging will promote a decline in food consumption in China. The energy intake of 1-10-year-old children, 22-30 year old, and 40-45 year old women all showed a change of first a decrease and then an increase, which may be related to parents' care for young children and women with children's management of body size. The average household size expressed by the adult equivalent scales of energy consumption is 2.341, which is smaller than the 3.052 calculated by the population number. The conclusion indicates that the prediction of the food and nutritional demand should be adjusted according to the changes and differences in accordance with the intensification of "fewer children" and "aging", as well as the life cycle changes in residents' energy intake, which is conducive to the formulation of food and nutrition security policies.

摘要

中国的人口呈现“少子化”和“老龄化”的特征,这将对中国乃至世界的食物和营养需求产生长期而深远的影响。本文将代表家庭人口结构的成人当量尺度()变量引入到能量摄入模型中,量化人口结构变化对能量摄入的影响,揭示中国居民生命周期中能量摄入的变化特征。研究发现,人口结构变化对中国城镇家庭的能量摄入有显著影响,其弹性为 0.446。中国 60 岁以上老年人的能量摄入呈先增后减的趋势,尤其是 65 岁以后,这表明老龄化将促进中国食物消费的下降。1-10 岁儿童、22-30 岁和 40-45 岁女性的能量摄入都表现为先减少后增加的变化,这可能与父母对幼儿的照顾和有子女的女性对身材的管理有关。用能量消耗的成人当量尺度表示的平均家庭规模为 2.341,小于用人口数量计算的 3.052。这一结论表明,应根据“少子化”和“老龄化”的变化和差异,以及居民能量摄入的生命周期变化,调整食物和营养需求的预测,这有利于制定粮食和营养安全政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/f662c5b03421/nutrients-16-00043-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/73c43162596e/nutrients-16-00043-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/180a6d0cf6d7/nutrients-16-00043-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/85e32c4a8a54/nutrients-16-00043-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/b6ac782b287e/nutrients-16-00043-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/a4ba096723e5/nutrients-16-00043-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/f662c5b03421/nutrients-16-00043-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/73c43162596e/nutrients-16-00043-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/180a6d0cf6d7/nutrients-16-00043-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/85e32c4a8a54/nutrients-16-00043-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/b6ac782b287e/nutrients-16-00043-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/a4ba096723e5/nutrients-16-00043-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb1/10781078/f662c5b03421/nutrients-16-00043-g006.jpg

相似文献

1
How Does Energy Intake Change in China? A Life Cycle Perspective.中国人的能量摄入发生了怎样的变化?基于生命周期视角的研究。
Nutrients. 2023 Dec 21;16(1):43. doi: 10.3390/nu16010043.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
Heat or eat: the Low Income Home Energy Assistance Program and nutritional and health risks among children less than 3 years of age.取暖还是吃饭:低收入家庭能源援助计划与3岁以下儿童的营养和健康风险
Pediatrics. 2006 Nov;118(5):e1293-302. doi: 10.1542/peds.2005-2943.
4
Urban-Rural Disparities in Energy Intake and Contribution of Fat and Animal Source Foods in Chinese Children Aged 4-17 Years.中国4至17岁儿童能量摄入以及脂肪和动物性食物贡献方面的城乡差异
Nutrients. 2017 May 21;9(5):526. doi: 10.3390/nu9050526.
5
Intrahousehold allocation of energy intake among children under five years and their parents in rural Bangladesh.孟加拉国农村地区五岁以下儿童及其父母之间家庭内部能量摄入的分配情况。
Eur J Clin Nutr. 1997 Nov;51(11):750-6. doi: 10.1038/sj.ejcn.1600477.
6
Aging, generational shifts, and energy consumption in urban China.中国城市的老龄化、代际更替和能源消耗。
Proc Natl Acad Sci U S A. 2022 Sep 13;119(37):e2210853119. doi: 10.1073/pnas.2210853119. Epub 2022 Sep 6.
7
Access to food outlets and children's nutritional intake in urban China: a difference-in-difference analysis.中国城市中食品店的可及性与儿童营养摄入的差异:双重差分分析。
Ital J Pediatr. 2012 Jun 30;38:30. doi: 10.1186/1824-7288-38-30.
8
[Survey on dietary nutrients intake of Chinese residents between 2010 and 2012].[2010年至2012年中国居民膳食营养素摄入量调查]
Zhonghua Yu Fang Yi Xue Za Zhi. 2017 Jun 6;51(6):519-522. doi: 10.3760/cma.j.issn.0253-9624.2017.06.012.
9
[Trends and food sources composition of energy, protein and fat in Chinese residents, 1992-2012].[1992 - 2012年中国居民能量、蛋白质和脂肪的摄入趋势及食物来源构成]
Wei Sheng Yan Jiu. 2018 Sep;47(5):689-704.
10
[Intra-household distribution of energy and macronutrients in Colombian households].[哥伦比亚家庭内部的能量和常量营养素分布]
Biomedica. 2013 Apr-Jun;33(2):163-74.

本文引用的文献

1
Spatiotemporal Pattern Evolution of Food and Nutrient Production in China.中国粮食和营养生产的时空格局演变
Foods. 2023 Oct 16;12(20):3791. doi: 10.3390/foods12203791.
2
Aging Population, Balanced Diet and China's Grain Demand.人口老龄化、均衡饮食与中国的粮食需求
Nutrients. 2023 Jun 25;15(13):2877. doi: 10.3390/nu15132877.
3
Dietary Intake of Multiple Nutrient Elements and Associated Health Effects in the Chinese General Population from a Total Diet Study.中国居民整体膳食研究中的多种营养素摄入与相关健康影响。
Nutrients. 2023 Jun 2;15(11):2613. doi: 10.3390/nu15112613.
4
The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling.基于结构方程模型的膳食模式与成年人高血糖的关系。
Nutrients. 2022 Oct 3;14(19):4111. doi: 10.3390/nu14194111.
5
Multi-Scenario Simulation Analysis of Grain Production and Demand in China during the Peak Population Period.中国人口高峰期粮食生产与需求的多情景模拟分析
Foods. 2022 May 26;11(11):1566. doi: 10.3390/foods11111566.
6
Nutrient Intake and Status in Adults Consuming Plant-Based Diets Compared to Meat-Eaters: A Systematic Review.植物性饮食成年人的营养摄入和状况与肉食者相比:系统评价。
Nutrients. 2021 Dec 23;14(1):29. doi: 10.3390/nu14010029.
7
Income, consumer preferences, and the future of livestock-derived food demand.收入、消费者偏好与畜产品需求的未来。
Glob Environ Change. 2021 Aug 23;70:102343. doi: 10.1016/j.gloenvcha.2021.102343. eCollection 2021 Sep.
8
The nonlinear effect of population aging on carbon emission-Empirical analysis of ten selected provinces in China.人口老龄化对碳排放的非线性影响-中国十个选定省份的实证分析。
Sci Total Environ. 2020 Oct 20;740:140057. doi: 10.1016/j.scitotenv.2020.140057. Epub 2020 Jun 8.
9
Nutrition transition and related health challenges over decades in China.几十年来中国的营养转型及相关健康挑战。
Eur J Clin Nutr. 2021 Feb;75(2):247-252. doi: 10.1038/s41430-020-0674-8. Epub 2020 Jul 3.
10
Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.死亡率、发病率和风险因素在中国及其省份,1990-2017 年:2017 年全球疾病负担研究的系统分析。
Lancet. 2019 Sep 28;394(10204):1145-1158. doi: 10.1016/S0140-6736(19)30427-1. Epub 2019 Jun 24.