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Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS

Food consumption is closely associated with resource consumption and environmental sustainability. An unreasonable dietary pattern would cause great pressure or damage to resources and the environment. It is particularly important to reduce the negative impact of household food consumption on resour...

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Autores principales: Long, Yanling, Hu, Runzhi, Yin, Tuo, Wang, Pengxiang, Liu, Jiamin, Muhammad, Tahir, Chen, Xiuzhi, Li, Yunkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391238/
https://www.ncbi.nlm.nih.gov/pubmed/34441635
http://dx.doi.org/10.3390/foods10081858
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author Long, Yanling
Hu, Runzhi
Yin, Tuo
Wang, Pengxiang
Liu, Jiamin
Muhammad, Tahir
Chen, Xiuzhi
Li, Yunkai
author_facet Long, Yanling
Hu, Runzhi
Yin, Tuo
Wang, Pengxiang
Liu, Jiamin
Muhammad, Tahir
Chen, Xiuzhi
Li, Yunkai
author_sort Long, Yanling
collection PubMed
description Food consumption is closely associated with resource consumption and environmental sustainability. An unreasonable dietary pattern would cause great pressure or damage to resources and the environment. It is particularly important to reduce the negative impact of household food consumption on resources and the environment while simultaneously ensuring people’s nutrient intake and health. This study applied the China Health and Nutrition Survey (CHNS) database to quantitatively study the spatial-temporal analysis of multiple footprints of household food consumption at multiple scales and explored the driving mechanism of the multiple footprints. The results showed that, except land footprint (LF), the other four types of footprints all decreased at varying degrees; the water footprint (WF), carbon footprint (CF), nitrogen footprint (NF) and energy footprint (EF) decreased by 18.24%, 17.82%, 12.03% and 20.36%, respectively, from 2000 to 2011; multiple footprints of food consumption of household in Guizhou was the highest among the 12 provinces involved in the study; this shows that resource consumption (water, energy and land resource) and environmental influences (CO(2) emissions and nitrogen emissions) brought by food consumption of per household in Guizhou are much greater than in other provinces, which has a negative influence on sustainable development; by analyzing the driving factors of multiple footprints, it is shown that nutrient intake, household attributes, educational level and health conditions were significantly correlated to multiple footprints. Among them, nutrient intake has greater impact on the multiple footprints of Chinese household food consumption. By comparing multiple footprints of different dietary patterns, it was found that the current Chinese dietary pattern would cause excessive resource consumption, which would bring more pressure on resources and the environment. Adjusting household living habits would possibly reverse the unsustainable situation, such as reducing the consumption of animal-derived foods and adjusting the dietary pattern of households with a higher educational level and income status. Chinese Dietary Guidelines 2016 has better sustainability; the promotion of this dietary pattern across the country would help China to relieve the pressure on resources and environment from the consumer side, promoting the realization of sustainable development.
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spelling pubmed-83912382021-08-28 Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS Long, Yanling Hu, Runzhi Yin, Tuo Wang, Pengxiang Liu, Jiamin Muhammad, Tahir Chen, Xiuzhi Li, Yunkai Foods Article Food consumption is closely associated with resource consumption and environmental sustainability. An unreasonable dietary pattern would cause great pressure or damage to resources and the environment. It is particularly important to reduce the negative impact of household food consumption on resources and the environment while simultaneously ensuring people’s nutrient intake and health. This study applied the China Health and Nutrition Survey (CHNS) database to quantitatively study the spatial-temporal analysis of multiple footprints of household food consumption at multiple scales and explored the driving mechanism of the multiple footprints. The results showed that, except land footprint (LF), the other four types of footprints all decreased at varying degrees; the water footprint (WF), carbon footprint (CF), nitrogen footprint (NF) and energy footprint (EF) decreased by 18.24%, 17.82%, 12.03% and 20.36%, respectively, from 2000 to 2011; multiple footprints of food consumption of household in Guizhou was the highest among the 12 provinces involved in the study; this shows that resource consumption (water, energy and land resource) and environmental influences (CO(2) emissions and nitrogen emissions) brought by food consumption of per household in Guizhou are much greater than in other provinces, which has a negative influence on sustainable development; by analyzing the driving factors of multiple footprints, it is shown that nutrient intake, household attributes, educational level and health conditions were significantly correlated to multiple footprints. Among them, nutrient intake has greater impact on the multiple footprints of Chinese household food consumption. By comparing multiple footprints of different dietary patterns, it was found that the current Chinese dietary pattern would cause excessive resource consumption, which would bring more pressure on resources and the environment. Adjusting household living habits would possibly reverse the unsustainable situation, such as reducing the consumption of animal-derived foods and adjusting the dietary pattern of households with a higher educational level and income status. Chinese Dietary Guidelines 2016 has better sustainability; the promotion of this dietary pattern across the country would help China to relieve the pressure on resources and environment from the consumer side, promoting the realization of sustainable development. MDPI 2021-08-11 /pmc/articles/PMC8391238/ /pubmed/34441635 http://dx.doi.org/10.3390/foods10081858 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Long, Yanling
Hu, Runzhi
Yin, Tuo
Wang, Pengxiang
Liu, Jiamin
Muhammad, Tahir
Chen, Xiuzhi
Li, Yunkai
Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS
title Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS
title_full Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS
title_fullStr Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS
title_full_unstemmed Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS
title_short Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS
title_sort spatial-temporal footprints assessment and driving mechanism of china household diet based on chns
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391238/
https://www.ncbi.nlm.nih.gov/pubmed/34441635
http://dx.doi.org/10.3390/foods10081858
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