| Literature DB >> 35967815 |
Prince Agyemang1, Ebenezer M Kwofie1,2, Jamie I Baum3,4.
Abstract
Food production and consumption are essential in human existence, yet they are implicated in the high occurrences of preventable chronic diseases and environmental degradation. Although healthy food may not necessarily be sustainable and vice versa, there is an opportunity to make our food both healthy and sustainable. Attempts have been made to conceptualize how sustainable healthy food may be produced and consumed; however, available data suggest a rise in the prevalence of health-related and negative environmental consequences of our food supply. Thus, the transition from conceptual frameworks to implementing these concepts has not always been effective. This paper explores the relative environmental and health risks associated with highly consumed food groups and develops a methodological workflow for evaluating the sustainability of diet concepts in the context of different health, socio-economic and environmental indicators. In addition, we apply the multi-criteria decision-making techniques (an integrated Analytic Hierarchy Process- Technique for order preference by similarity to ideal solution (AHP-TOPSIS) model) to examine the health and environmental impact of selected sustainable healthy diet concepts implemented in the United States. The principal findings indicate that adopting plant-based diet patterns would benefit the environment and the population's health. However, the up-scale, broad adoption and implementation of these concepts are hindered by critical bottlenecks. Hence we propose potential modification strategies through a conceptual system thinking approach to deliver optimized sustainable diet concepts to aid in the realization of the anticipated benefits of adoption/implementation.Entities:
Keywords: decision-making; optimized diets; plant-based dietary patterns; sustainable diet concepts; system thinking
Year: 2022 PMID: 35967815 PMCID: PMC9372557 DOI: 10.3389/fnut.2022.874721
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Figure 1Conceptual framework for determining the performance of sustainable diet concepts in the United States.
Metrics for evaluating sustainable diet concepts.
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| Health | Risk to diabetes | Measures the risk of diet concepts that affect the body's ability to produce insulin in cohort studies. | Minimized | ( |
| Prevention of coronary heart diseases | Measures the diet concept's risk in relation to coronary heart diseases in cohort/epidemiological studies. | Minimized | ( | |
| Risk to mortality | Estimates the association of mortality to diet factors | Minimized | ( | |
| Risk to obesity | Measures the association of different diet concept intake to the prevalence of obesity | Minimized | ||
| Total cancer | Measures the risk reduction to cancer from the consumption of different diet patterns | Minimized | ( | |
| Environment | GHGE reduction (kg CO2eq/capita/year) | It is an adjusted indicator that includes CO2, N2O, and CH4 | Minimized | ( |
| Agricultural Land use reduction (m2/capita/year) | Measures the aggregated land use of the different types of agricultural production e.g., Pasture, cropping | Minimized | ( | |
| Water consumption (L/capita/day) | Measures the amount of groundwater evapotranspired by crops or incorporated into the product during growth and processing. | Minimized | ( | |
| Energy consumptions | Measures the amount of energy consumed during agricultural product of sustainable diets. | Minimized | ( | |
| Socioeconomic | Average cost of a healthy diet, €/day | Measures the cost of adherence to diet patterns per day | Minimized | ( |
| Socio-economic savings to society | Measures the savings through health and environmental improvements of consuming sustainable diets | Maximized |
Categories for classifying multi-criteria decision making methodologies [extracted from (29)].
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| Multi-attribute utility and value theory | Analytic hierarchy process (AHP)/analytical network process (ANP); fuzzy set methodology; gray relational method |
| The multi-objective mathematical programming | Constrain programming; linear programming; goal programming |
| Non-classical method | Fuzzy set methodology |
| Elementary aggregation method | Weighted sum method; weighted product method |
| Complex aggregation method | Analyse and synthesis parameters under information deficiency (ASPID) |
| Distance-to-target approach | Technique for order preference by similarity to ideal solution (TOPSIS); gray relational analysis; data enveloping analysis |
| Direct ranking (high dependence on decision-maker) | Stepwise expert judgment; Delphi; scoring method |
| Outranking method | Elimination and choice translating reality (ELECTRE I, I.S., II, III,); preference ranking organization method for enrichment evaluation (PROMETHEE I, II) |
Definition of the intensity of qualitative and quantitative score for criteria weight determination.
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| 1 | Equal importance | This implies that two criteria have equal importance to the objectives. |
| 3 | Moderate importance of one over another | The judgment slightly favor one over the other |
| 5 | Strong importance | The judgment strongly favor one over the other |
| 7 | Extreme importance | The judgment is very strongly favored one over the other |
| 9 | Absolute importance | The judgment is of absolute importance over the other |
Figure 2Hierarchical breakdown for assessing the performance of diet concepts.
Figure 3An integrated AHP-TOPSIS from selecting optimal diet concepts in the United States.
Figure 4Relative proportional demand in animal-based protein and calorie be capital per day. (A) Estimated daily calorie supply per capita across all regions from 1961 to 2013. (B) Daily animal protein demand in each region from 1961 to 2013.
Figure 5The prevalence of health-related implications of a consistent intake of unhealthy food over time. (A) Percentage prevalence of overweight in adults from 1975 to 2016. (B) Percentage prevalence of overweight in children under 5 years from 2000 to 2020. (C) Percentage total cost of death due to non-communicable diseases from 2000 to 2019.
Figure 6Relative proportional increase/decrease of agricultural land use and GHGE. (A) Relative proportional increase/decrease of land use from 1960 to 2016. (B) Relative proportional increase in GHGE from 1961 to 2019.
Figure 7Relative Risk to diseases and environmental impact of 15 highly consumed food groups. (A) Relative risk to disease for different food groups. (B) Relative risk to environmental damage for different food groups. (C) Relative average risk to disease and environmental impact for different food foods..
Selected sustainable diet concepts after the four-step inclusion/exclusion criteria.
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| 1 | The mediterranean diet pattern | √ | √ | √ | √ | * |
| 2 | Healthy planetary diet (EAT-Lancet pattern) | × | – | |||
| 3 | Healthy vegetarian diet pattern | √ | √ | √ | √ | * |
| 4 | Atlantic diet pattern | √ | √ | √ | × | – |
| 5 | Diet approach to stop hypertension (DASH diet) | √ | √ | √ | √ | * |
| 6 | Pesco-vegetarian | √ | √ | √ | √ | * |
| 7 | The healthy nordic diet pattern | √ | √ | √ | × | – |
| 8 | Paleolithic diet | √ | √ | √ | × | – |
| 9 | Tradition persian medicine diet | √ | × | – | ||
| 10 | Vegan diet | √ | √ | √ | √ | * |
| 11 | The healthy U.S style diet pattern | √ | √ | √ | √ | * |
| 12 | Chinese diet pattern | √ | √ | √ | × | – |
| 13 | Western diet concept | √ | √ | √ | × | – |
| 14 | Spanish diet pattern | √ | √ | √ | × | – |
| 15 | Provegetarian food pattern | √ | √ | √ | √ | * |
| 16 | Pescatarian diet | √ | √ | √ | √ | * |
| 17 | Flexiterian diet | √ | √ | √ | √ | * |
(Where S/N refers to Serial Number, .
Figure 8Weights of importance of criteria adopted to evaluate sustainable diet concepts.
Figure 9Relative reduction/increase in health and environmental impact of different dietary concepts.
Figure 10Ranking of dietary concepts using the TOPSIS framework.
Bottleneck to implementing sustainable diet concepts.
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| 1 | Vegetarian | •Risk of sub-optimal nutrients, including iron. | Early familiarization during childhood |
| 2 | Vegan | •The Diet concept is regarded as inconvenient since its products are challenging to prepare. Also, ingredients for preparing meals are most often unavailable in stores. | Less processing of plant-based meat alternative with the intention of mimicking animal meat (reduced preservatives and sodium). |
| 3 | Pescatarian | •Fear of the presence of heavy metals in food. | |
| 4 | Mediterranean diet | •Increase price of food items in the Mediterranean diet. | Careful examination of the effectiveness of relying on a diet pyramid vs. promoting the health full aspects of individual foods that are included in the pyramid is needed |
| 5 | Healthy U.S. style guidelines | •Limited access to supermarkets and grocery stores. | |
| 6 | DASH diet | •Poor availability, quality and cost of healthy and fresh food components within the diet. | Interventions to promote the DASH diet yet reflect the customer, economic and food available concern |
Figure 11A system thinking approach to address the challenges of scaling up sustainable diet concepts to an optimized diet concept.