Cargando…

Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data

Food production is a major driver of environmental change, and unhealthy diets are the leading cause of global disease burden. In high-income countries (HICs), modelling studies suggest that adoption of healthy diets could improve population health and reduce environmental footprints associated with...

Descripción completa

Detalles Bibliográficos
Autores principales: Aleksandrowicz, L., Green, R., Joy, E.J.M., Harris, F., Hillier, J., Vetter, S.H., Smith, P., Kulkarni, B., Dangour, A.D., Haines, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437131/
https://www.ncbi.nlm.nih.gov/pubmed/30802638
http://dx.doi.org/10.1016/j.envint.2019.02.004
_version_ 1783406899767541760
author Aleksandrowicz, L.
Green, R.
Joy, E.J.M.
Harris, F.
Hillier, J.
Vetter, S.H.
Smith, P.
Kulkarni, B.
Dangour, A.D.
Haines, A.
author_facet Aleksandrowicz, L.
Green, R.
Joy, E.J.M.
Harris, F.
Hillier, J.
Vetter, S.H.
Smith, P.
Kulkarni, B.
Dangour, A.D.
Haines, A.
author_sort Aleksandrowicz, L.
collection PubMed
description Food production is a major driver of environmental change, and unhealthy diets are the leading cause of global disease burden. In high-income countries (HICs), modelling studies suggest that adoption of healthy diets could improve population health and reduce environmental footprints associated with food production. We assessed whether such benefits from dietary change could occur in India, where under-nutrition and overweight and obesity are simultaneously prevalent. We calculated the potential changes in greenhouse gas (GHG) emissions, blue and green water footprints (WFs), and land use (LU), that would result from shifting current national food consumption patterns in India to healthy diets (meeting dietary guidelines) and to “affluent diets” (those consumed by the wealthiest quartile of households, which may represent future purchasing power and nutritional trajectories). Dietary data were derived from the 2011–12 nationally-representative household expenditure survey, and we assessed dietary scenarios nationally and across six Indian sub-regions, by rural or urban location, and for those consuming above or below recommended dietary energy intakes. We modelled the changes in consumption of 34 food groups necessary to meet Indian dietary guidelines, as well as an affluent diet representative of those in the highest wealth quartile. These changes were combined with food-specific data on GHG emissions, calculated using the Cool Farm Tool, and WF and LU adapted from the Water Footprint Network and Food and Agriculture Organization, respectively. Shifting to healthy guidelines nationally required a minor increase in dietary energy (3%), with larger increases in fruit (18%) and vegetable (72%) intake, though baseline proportion of dietary energy from fat and protein was adequate and did not change significantly. Meeting healthy guidelines slightly increased environmental footprints by about 3–5% across GHG emissions, blue and green WFs, and LU. However, these national averages masked substantial variation within sub-populations. For example, shifting to healthy diets among those with dietary energy intake below recommended guidelines would result in increases of 28% in GHG emissions, 18 and 34% in blue and green WFs, respectively, and 41% in LU. Decreased environmental impacts were seen among those who currently consume above recommended dietary energy (−6 to −16% across footprints). Adoption of affluent diets by the whole population would result in increases of 19–36% across the environmental indicators. Specific food groups contributing to these shifts varied by scenario. Environmental impacts also varied markedly between six major Indian sub-regions. In India, where undernutrition is prevalent, widespread adoption of healthy diets may lead to small increases in the environmental footprints of the food system relative to the status quo, although much larger increases would occur if there was widespread adoption of diets currently consumed by the wealthiest quartile of the population. To achieve lower diet-related disease burdens and reduced environmental footprints of the food system, greater efficiency of food production and reductions in food waste are likely to be required alongside promotion of healthy diets.
format Online
Article
Text
id pubmed-6437131
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier Science
record_format MEDLINE/PubMed
spelling pubmed-64371312019-05-01 Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data Aleksandrowicz, L. Green, R. Joy, E.J.M. Harris, F. Hillier, J. Vetter, S.H. Smith, P. Kulkarni, B. Dangour, A.D. Haines, A. Environ Int Article Food production is a major driver of environmental change, and unhealthy diets are the leading cause of global disease burden. In high-income countries (HICs), modelling studies suggest that adoption of healthy diets could improve population health and reduce environmental footprints associated with food production. We assessed whether such benefits from dietary change could occur in India, where under-nutrition and overweight and obesity are simultaneously prevalent. We calculated the potential changes in greenhouse gas (GHG) emissions, blue and green water footprints (WFs), and land use (LU), that would result from shifting current national food consumption patterns in India to healthy diets (meeting dietary guidelines) and to “affluent diets” (those consumed by the wealthiest quartile of households, which may represent future purchasing power and nutritional trajectories). Dietary data were derived from the 2011–12 nationally-representative household expenditure survey, and we assessed dietary scenarios nationally and across six Indian sub-regions, by rural or urban location, and for those consuming above or below recommended dietary energy intakes. We modelled the changes in consumption of 34 food groups necessary to meet Indian dietary guidelines, as well as an affluent diet representative of those in the highest wealth quartile. These changes were combined with food-specific data on GHG emissions, calculated using the Cool Farm Tool, and WF and LU adapted from the Water Footprint Network and Food and Agriculture Organization, respectively. Shifting to healthy guidelines nationally required a minor increase in dietary energy (3%), with larger increases in fruit (18%) and vegetable (72%) intake, though baseline proportion of dietary energy from fat and protein was adequate and did not change significantly. Meeting healthy guidelines slightly increased environmental footprints by about 3–5% across GHG emissions, blue and green WFs, and LU. However, these national averages masked substantial variation within sub-populations. For example, shifting to healthy diets among those with dietary energy intake below recommended guidelines would result in increases of 28% in GHG emissions, 18 and 34% in blue and green WFs, respectively, and 41% in LU. Decreased environmental impacts were seen among those who currently consume above recommended dietary energy (−6 to −16% across footprints). Adoption of affluent diets by the whole population would result in increases of 19–36% across the environmental indicators. Specific food groups contributing to these shifts varied by scenario. Environmental impacts also varied markedly between six major Indian sub-regions. In India, where undernutrition is prevalent, widespread adoption of healthy diets may lead to small increases in the environmental footprints of the food system relative to the status quo, although much larger increases would occur if there was widespread adoption of diets currently consumed by the wealthiest quartile of the population. To achieve lower diet-related disease burdens and reduced environmental footprints of the food system, greater efficiency of food production and reductions in food waste are likely to be required alongside promotion of healthy diets. Elsevier Science 2019-05 /pmc/articles/PMC6437131/ /pubmed/30802638 http://dx.doi.org/10.1016/j.envint.2019.02.004 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Aleksandrowicz, L.
Green, R.
Joy, E.J.M.
Harris, F.
Hillier, J.
Vetter, S.H.
Smith, P.
Kulkarni, B.
Dangour, A.D.
Haines, A.
Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
title Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
title_full Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
title_fullStr Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
title_full_unstemmed Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
title_short Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
title_sort environmental impacts of dietary shifts in india: a modelling study using nationally-representative data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437131/
https://www.ncbi.nlm.nih.gov/pubmed/30802638
http://dx.doi.org/10.1016/j.envint.2019.02.004
work_keys_str_mv AT aleksandrowiczl environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT greenr environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT joyejm environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT harrisf environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT hillierj environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT vettersh environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT smithp environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT kulkarnib environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT dangourad environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata
AT hainesa environmentalimpactsofdietaryshiftsinindiaamodellingstudyusingnationallyrepresentativedata