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Article

Evaluation of the Climate Impact and Nutritional Quality of Menus in an Italian Long-Term Care Facility

by
Andrea Conti
1,2,*,
Annalisa Opizzi
1,2,3,
Jefferson Galapon Binala
1,
Loredana Cortese
1,
Francesco Barone-Adesi
1 and
Massimiliano Panella
1
1
Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
2
Doctoral Program in Food, Health, and Longevity, Università del Piemonte Orientale, 28100 Novara, Italy
3
Anteo Impresa Sociale, Via Felice Piacenza 11, 13900 Biella, Italy
*
Author to whom correspondence should be addressed.
Nutrients 2024, 16(17), 2815; https://doi.org/10.3390/nu16172815
Submission received: 31 July 2024 / Revised: 19 August 2024 / Accepted: 21 August 2024 / Published: 23 August 2024
(This article belongs to the Special Issue Sustainability of Optimal Diets)

Abstract

:
Global warming poses a significant threat to our planet, with the food sector contributing up to 37% of total greenhouse gas emissions. This study aimed to assess the climate change impact and healthiness of menus in a long-term care facility in Italy. We analyzed two 28-day cyclical menus using the carbon footprint (CF) and the Modified EAT-Lancet Diet Score (MELDS) to evaluate adherence to the Planetary Health Diet (PHD). Monte Carlo simulations were employed to explore 20,000 daily menu permutations. Results showed that the mean GHGEs of spring/summer and autumn/winter daily menus were 2.64 and 2.82 kg of CO2eq, respectively, with 99% of menus exceeding the 2.03 kg of CO2eq benchmark. Only 22% of menus were adherent to the PHD, with MELDSs ranging from 12 to 29. A strong inverse association between the CF and adherence to the PHD was observed. These findings suggest significant potential for reducing the CFs of meals served in nursing homes while promoting adherence to a planetary diet, presenting an opportunity to set new standards in caregiving and environmental sustainability.

Graphical Abstract

1. Introduction

In the last several years, global warming has become a prominent threat to our planet, being related to several harmful effects like increasing temperatures, rising sea levels, and melting ice caps [1]. Human activities, through continuously increasing greenhouse gas emissions (GHGEs), represent major contributions to this phenomenon [2]. In the actual debate on climate change the food sector plays a pivotal role, due to its presence and relevance in all populations. Indeed, food production is responsible for up to the 37% of the total GHGEs [3], equal to 18 Gigatonnes of carbon dioxide equivalents (CO2eq) [4]. Furthermore, the food sector is not only contributing to global warming but, at the same time, it is threatened by the consequences of the latter, with serious implications for nutrition security, livelihoods, and general well-being [5].
Among the various strategies proposed to address this global challenge, the adoption of healthy and sustainable food models has been identified as one of the most important interventions [5]. Sustainable foods prioritise environmental health, social equity, and economic viability throughout their lifecycle [6]. This concept encompasses practices mitigating the impact on the environment, such as reducing greenhouse gas emissions, conserving water, and promoting biodiversity. Ultimately, the goal of sustainable food is to foster a harmonious relationship between food production, consumption, and the planet’s ecosystems [7].
In this regard, the EAT-Lancet Commission has proposed the Planetary Health Diet (PHD) to promote both human and environmental health [8]. This dietary model, mainly based on vegetables, has been designed to be translated to different populations, while respecting their eating habits and cultural traditions. Such flexibility allows for the intake of all necessary macronutrients to ensure a proper diet while limiting GHGEs.
The recent awareness of food sustainability has been reflected in an important increase, in the last several years, in the amount of research on this topic [9]. While a similar trend can be observed among the literature on healthcare services sustainability, the number of studies explicitly investigating the intersection of food and healthcare sustainability remains limited and anecdotal [10]. Indeed, while some studies focused on production and preparation processes [11] or on the hospital setting in general [12], as far as the authors of this paper know, currently, there are no studies assessing the climate impact of food services in long-term care (LTC) facilities such as nursing homes. This is particularly concerning, especially considering that this sector not only accounts for more than 1.3 and 3.4 million residents in the United States and in the European Union, respectively, but also it is continuously growing [13,14]. Moreover, LTC stays are substantially longer than hospital ones, with subjects exposed for longer amounts of time to the served food and potentially having more benefits from its improvement. We hypothesise that, in line with evidence from general populations [15], food in the LTC sector can be improved to benefit both the residents and the environment.
Our study aims to address this knowledge gap by evaluating dietary practices in LTC facilities, specifically assessing the climate change impact and healthiness of menus proposed to the residents of an Italian nursing home.

2. Materials and Methods

This study was conducted in the “Belletti Bona” nursing home (Biella, Piedmont, Italy). This facility, managed by the not-for-profit company Anteo Impresa Sociale, has been selected as its characteristics make it representative of Italian nursing homes. Belletti Bona can host up to 144 residents, and it is one of the largest nursing home of Biella. It hosts a large variety of residents, characterised by levels of independence and needed care [16]. Moreover, the majority of residents are aged 65 and older, with most stays co-funded by the regional government, aligning with the national context [17].
Dishes for the residents are prepared in the internal kitchen. The foodservice operates on two 28-day cyclical menus (one for the spring/summer period and another for the autumn/winter one). Five different meals (breakfast, a mid-morning snack, lunch, a mid-afternoon snack, and dinner) are served daily. Table 1 shows the structure of each meal. In addition, the foodservice provides customized options during the major holidays (e.g., Christmas, Easter, etc.), as well as special dishes for residents with specific dietary needs (e.g., because of diabetes, renal failure, etc.).
The details regarding the proposed menus were acquired through the food management software (NovaPortal 2022.04.28, Nova Srl, Bassano del Grappa, Italy, 2023), used by Anteo Impresa Sociale to manage the food chain across most of its facilities. Specifically, we obtained the scheme of the proposed servings for each menu and we extracted the recipes for each dish, including the lists of ingredients along with their respective weights per portion. A typical 28-day cyclical menu includes a total of 150 different dishes, which can be differently combined among each other as the residents can choose among different options (Table 1).
To estimate the climate change impact, we calculated the average carbon footprint (CF) associated with each dish. The CF, namely “the total amount of carbon dioxide emission that is directly and indirectly caused by an activity or is accumulated over the life stages of a product” [18], is an internationally adopted proxy for estimating the contribution of human processes to global warming. The CF is commonly used in studies on the food service sector [19] and is now being used also across healthcare services [20]. According to the available literature, we expressed the CF as kilograms of CO2eq [21]. The CF estimates of the different ingredients of dishes were gathered from the scientific literature. In detail, most of the estimates were obtained from an Italian database [22], in which life cycle assessment (LCA) studies consistent for food processing, distribution, and retailing were summarized. Furthermore, additional CF estimates of fresh ingredients, frozen products, and wine were obtained from other sources [23,24,25,26]. Our study considered the CF generated during the production, distribution, and retailing phases of the ingredients. In addition, it is worth mentioning that we did not consider salt and pepper, because of their minimal contribution to the overall weight of the proposed servings.
The adherence of the daily menus to the PHD was assessed using the Modified EAT-Lancet Diet Score (MELDS) developed by Stubbendorff et al. [27], which assigns a score from 0 to 3 (for low to high adherence to the EAT-Lancet diet food component target, respectively) to 14 different food categories. Similar to what we did for CF estimation, we considered the basic ingredients and their proportion for each dish to calculate the adherence score.
We considered 2.03 kg of CO2eq/person/day as a benchmark standard for the CF. This value represents the daily average CF of a complete adherence to the PHD, specifically estimated in the Italian population [28]. Benchmark for the MELDS was set to 23 in accordance with the original tool [27]. Detailed information about estimates for each dish is available in the Supplementary Materials.
Finally, we used Monte Carlo simulations to explore the whole amount of food offerings in the spring/summer and autumn/winter 28-day cyclical menus, drawing on 20,000 daily menus from all the possible permutations of dishes available during the two periods. We then plotted values of the CF and the MELDS for each daily menu to evaluate how close they were to the two benchmarks. Statistical analysis was performed using Stata software (StataCorp. 2021. Stata Statistical Software: Release 17. College Station, TX, USA: StataCorp LLC).

3. Results

Mean GHGEs of spring/summer and autumn/winter daily menus were 2.64 and 2.82 kg of CO2eq, with 95% of permutations ranging between 2.18 and 3.17 kg of CO2eq, and 2.36 and 3.29 kg of CO2eq, respectively (Figure 1). Figure 2 represents the adherence of menus to the EAT-Lancet Planetary Health Diet during the two considered periods. Both the spring/summer and the autumn/winter menus ranged from a MELDS of 12 to 29, with a median of 20 and 21, respectively.
The association between the MELDS and the carbon emissions is reported in Figure 3. The large majority of the menus (99%) were above the 2.03 kg of CO2eq cutoff, and only a few (22%) were adherent to the PHD (i.e., they had a MELDS of at least 23).
Figure 4 shows a strong, inverse association between the CF and the adherence to the PHD, through the whole range of MELDSs. This phenomenon was present during both the spring/summer and autumn/winter periods.

4. Discussion

Our study aimed to explore the impact on climate change and the healthiness of the food served in an LTC facility, ultimately prompting research in this setting.
As a major result, we found a substantial variability in the CFs and MELDSs among possible menus, with most of them not reaching the CF gold standard. This result aligns with those from previous studies conducted in general hospital settings [12]. Moreover, adherence to the PHD was satisfactory in just half of the considered menus. From this perspective, our findings suggest not only the fact that the proposed menus are largely not sustainable, but also that there is room for their improvement. Furthermore, we found that a high MELDS was strongly associated with a reduction in the CF, corroborating the hypothesis that a shift to a PHD-compliant diet could lead to both environmental and health benefits, confirming our hypothesis.
A recent study [28] evaluated the current diet of the Italian general population, estimating that the adoption of a PHD-based diet would cut the amount of GHGEs in half. The same study highlights, also in accordance with the FAO [29], the dominant role of meat and dairy products in determining CFs. In addition to reducing GHGEs, introducing a PHD-compliant diet could also benefit LTC residents, translating into a reduction in the amounts of red meat and dairy products. Indeed, it has been observed that a frequent and excessive consumption of such foods in older people is associated with frailty [30]. Furthermore, this dietary pattern is linked to an increased susceptibility to hip fractures and to a deterioration in cognitive function [31,32]. Therefore, a diet based on the scheme proposed by the EAT-Lancet Commission can be of pivotal importance for frail subjects such as older people.
In addition to the above-mentioned considerations, economic aspects should also be taken into account. Indeed, it has been estimated that the adoption of a planetary diet would not be economically sustainable for several countries, especially for the low- and middle-income ones. For example, in Europe a PHD-complaint diet would cost about 2.8$ per day, 60% more than the minimum cost of a nutrient adequate one [33]. With regards to the LTC sector, foodservice expenses represent only 15% of the total running costs. More specifically, food supplies account for 39% of these dietary expenditures [34]. Hence, the implementation of a PHD-compliant diet might lead to a limited, although significant, increase in direct costs. While the available literature assesses the economic aspects of planetary diet adoption on a individual level [33], as far as the authors of this paper know, there are no similar studies conducted in collective foodservices. Therefore, it is not possible to currently estimate whether a fully PHD-compliant diet could be financially sustainable for the LTC sector.
It should be also taken in consideration that the PHD is a general dietary framework designed to be adapted and translated to local habits and traditions. Notably, a Mediterranean diet aligned with PHD principles for the Italian context was recently proposed [35,36]. This version of the PHD assumes a decreased consumption of resource-intensive foods like chicken, fish, and eggs compared to the original PHD framework, and subsequently, a further lower CF. Despite the authors being cautious to propose this model to the general population, this was a first example of the translation of the PHD to a specific country, while preserving the population background and culture. Furthermore, it has been estimated that moving from the current Italian food consumption pattern to a PHD-compliant one could lead to more than a 50% reduction in food-related GHGEs, namely 1000 kg of CO2eq per capita yearly [37]. Since, in Italy, more than 360,000 older people live in LTC facilities [38], this transition might potentially lead to a relevant overall reduction of GHGEs. While previous studies highlighted several barriers for the implementation of healthy diets, it should be considered that, usually, a relevant role is played by social and environmental factors such as social stigmatization, media influence, and the convenience and ease of unhealthy foods [39]. Since in the LTC sector these factors can be relatively easy driven at least with the support of trained healthcare workers [40], we suggest that such a setting could be fertile soil on which it might be possible to effectively start the implementation of healthy and environmentally friendly diets. This context-specific strategy could be of particular importance for cultures in which food plays a relevant role, such as, for example, in Italy and other Mediterranean countries [41]. However, it is worth mentioning that the PHD was originally designed for the healthy average adult, and it could not fully provide the nutritional requirements of specific categories of people such as adolescents, pregnant women, and older persons. In this regard, the adaptation of the PHD to population-specific nutritional needs remains one of the main challenges that still need to be addressed to achieve a comprehensive sustainable dietary approach [5].
Our study presents a number of limitations. First, the study was conducted in a single facility. In Italy, each seasonal menu is designed by the facility’s managing institution considering organizational, economic, and regulatory aspects, but has to be approved by the province-based local health authority (ASL, Azienda Sanitaria Locale). Since in Italy there is no a national guideline on nutrition in LTC settings, each one of the 110 different ASLs might follow different criteria to approve the foods offered. Despite analyzing a relevant number of different permutations, our results might not be generalized to all Italian facilities, and therefore, this study should be viewed as a pilot study. Indeed, we aim to scale-up this approach to the majority of the facilities managed by Anteo, which are distributed across several ASLs, to achieve a more comprehensive assessment of the foods offered in LTC [42].
Second, our study was carried out considering all the possible menu permutations based on dishes available in a specific period. As mentioned above, residents can choose between four different recipes for the first and second course, and between three different proposals for side dishes and dessert. Personal preferences and cultural backgrounds are well known determinants of food preferences [43], as well as the changes in nutritional habits in older ages [44]. However, as our study did not weight the different permutations considering residents’ choices, our results should be interpreted as a comprehensive analysis of the facility’s food offerings rather than an assessment of individual choices.
Third, we did not take in consideration the roles of on-site cooking and of food waste. In our specific case, the facility used had several appliances with different energetic performances, not allowing us to accurately calculate the electricity and gas usage. However, our study accurately assessed the food production, distribution, and retailing phases, which are responsible for 84% of the kg of CO2eq produced by catering services [45]. To overpass the abovementioned limitations, future research might consider multiple facilities, as well as other phases of the foodservice chain and residents’ preferences. Food waste accounts for an estimated 30% of global food production along the supply chain [29]. However, in hospital settings, up to 65% of food is wasted after being served to patients [46]. Therefore, we believe that this specific aspect should be assessed separately from the climate change impact of menus. Food waste in the healthcare sector is a complex phenomenon, driven by different determinants. For example, inappropriate dining times, large portions, and poor food presentations can contribute to the food waste in this setting [46,47]. Recent reviews addressed this topic in hospitals [48] and general hospitality services [49]; however, despite the growing interest, only a few studies have been specifically conducted in the LTC sector [50,51].
It is important to note that our study focused solely on the climate change impact through the estimation of GHGEs. While this approach has been widely adopted in recent years and facilitates comparison with other research [12,19,20], it represents a mono-dimensional perspective that may not capture the full spectrum of environmental impacts associated with the assessed human activities. A more comprehensive understanding would require consideration of additional factors such as particulate matter, nitrogen, and water footprints [52]. These additional metrics would provide a multi-dimensional view of the environmental impact of the activities under investigation.
To the best of our knowledge, our study is the first one specifically assessing the climate change impact and healthiness of the food in a nursing home. Considering the growing importance of the LTC sector worldwide and the subsequent related food production, future research on this topic seems warranted. Therefore, future studies might explore the individual food choices made by residents to provide a more accurate and realistic assessment, also considering individual characteristics such as gender, race, age, and socioeconomic status. This global approach could also include analysing dietary practices in LTC facilities across diverse countries, healthcare systems, and cultural contexts, allowing for a comprehensive understanding of how sustainability and health intersect with food choices in elderly care worldwide.

5. Conclusions

Our findings suggests that there is significant potential to reduce the CFs of the meals served to nursing home residents and to promote the adherence to a planetary diet at the same time. Current practices may not fully align with the guidelines set by the planetary diet proposed by the EAT-Lancet Commission. Adopting these guidelines can not only lead to a more sustainable food production and consumption pattern, but can also offer health benefits. Embracing this change presents an opportunity to set a new standard in caregiving while making a positive impact on the environment.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu16172815/s1, Table S1: Cereals, cereals products, and substitutes. Table S2: Legumes. Table S3: Vegetables. Table S4: Fruits. Table S5: Meat, meat products, and substitutes. Table S6: Eggs and eggs products. Table S7: Fish and seafood. Table S8: Milk, milk products, and their substitutes. Table S9: Oil, fats spices, and sauces. Table S10: Sweet products and substitutes. Table S11: Non-alcoholic beverages. Table S12: Alcoholic beverages. Table S13: Miscellaneous.

Author Contributions

Conceptualization, M.P.; methodology, M.P. and F.B.-A.; formal analysis, F.B.-A.; investigation, A.C. and J.G.B.; data curation, A.O., J.G.B. and L.C.; writing—original draft, A.C., J.G.B. and L.C.; writing–review and editing, A.C., F.B.-A. and M.P.; supervision, M.P.; project administration, M.P. All authors have read and agreed to the published version of the manuscript.

Funding

The doctoral program of one author (A.O.) is funded by the “European Union—Next Generation EU”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The dataset is available on reasonable request from the authors. The data are not publicly available due to internal policies.

Acknowledgments

We wish to thank Anteo Impresa Sociale for the support given in the conduction of the current study. This research is supported by the AGING PROJECT—Department of Excellence, Università del Piemonte Orientale. This publication is also part of the project AGE-IT which has received funding from the MUR—M4C2 1.3 of PNRR funded by the European Union—NextGenerationEU (Grant agreement no. PE0000015).

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
GHGEGreenhouse gas emission
CO2eqCarbon dioxide equivalents
PHDPlanetary Health Diet
LTCLong-term care
CFCarbon footprint
MELDSModified EAT-Lancet Diet Score

References

  1. Intergovernemental Panel on Climate Change (Ed.) Climate Change 2007: The Physical Science Basis; Cambridge University Press: Cambridge, UK, 2007. [Google Scholar]
  2. Pörtner, H.O.; Roberts, D.C.; Tignor, M.M.B.; Poloczanska, E.S.; Mintenbeck, K.; Alegría, A.; Craig, M.; Langsdorf, S.; Löschke, S.; Möller, V.; et al. (Eds.) Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Intergovernmental Panel on Climate Change: Geneva, Switzerland, 2022. [Google Scholar]
  3. Shukla, P.R.; Skeg, J.; Calvo Buendia, E.; Masson-Delmotte, V.; Pörtner, H.O.; Roberts, D.C.; Zhai, P.; Slade, R.; Connors, S.; van Diemen, S.; et al. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems; Intergovernmental Panel on Climate Change: Geneva, Switzerland, 2019. [Google Scholar]
  4. Crippa, M.; Solazzo, E.; Guizzardi, D.; Monforti-Ferrario, F.; Tubiello, F.N.; Leip, A. Food Systems Are Responsible for a Third of Global Anthropogenic GHG Emissions. Nat. Food 2021, 2, 198–209. [Google Scholar] [CrossRef]
  5. Policy Institute, I.F. 2022 Global Food Policy Report: Climate Change and Food Systems; Technical Report; International Food Policy Research Institute: Washington, DC, USA, 2022. [Google Scholar] [CrossRef]
  6. Lindgren, E.; Harris, F.; Dangour, A.; Gasparatos, A.; Hiramatsu, M.; Javadi, F.; Loken, B.; Murakami, T.; Scheelbeek, P.; Haines, A. Sustainable food systems—A health perspective. Sustain. Sci. 2018, 13, 1505–1517. [Google Scholar] [CrossRef]
  7. Jarmul, S.; Dangour, A.; Green, R.; Liew, Z.; Haines, A.; Scheelbeek, P. Climate change mitigation through dietary change: A systematic review of empirical and modelling studies on the environmental footprints and health effects of ‘sustainable diets’. Environ. Res. Lett. 2020, 15, 12. [Google Scholar] [CrossRef] [PubMed]
  8. Willett, W.; Rockström, J.; Loken, B.; Springmann, M.; Lang, T.; Vermeulen, S.; Garnett, T.; Tilman, D.; DeClerck, F.; Wood, A.; et al. Food in the Anthropocene: The EAT-Lancet Commission on Healthy Diets from Sustainable Food Systems. Lancet 2019, 393, 447–492. [Google Scholar] [CrossRef] [PubMed]
  9. Xie, H.; Wen, Y.; Choi, Y.; Zhang, X. Global Trends on Food Security Research: A Bibliometric Analysis. Land 2021, 10, 119. [Google Scholar] [CrossRef]
  10. Punnakitikashem, P.; Hallinger, P. Bibliometric Review of the Knowledge Base on Healthcare Management for Sustainability, 1994–2018. Sustainability 2019, 12, 205. [Google Scholar] [CrossRef]
  11. Carino, S.; Porter, J.; Malekpour, S.; Collins, J. Environmental Sustainability of Hospital Foodservices across the Food Supply Chain: A Systematic Review. J. Acad. Nutr. Diet. 2020, 120, 825–873. [Google Scholar] [CrossRef]
  12. Vidal, R.; Moliner, E.; Pikula, A.; Mena-Nieto, A.; Ortega, A. Comparison of the Carbon Footprint of Different Patient Diets in a Spanish Hospital. J. Health Serv. Res. Policy 2015, 20, 39–44. [Google Scholar] [CrossRef] [PubMed]
  13. Sengupta, M.; Lendon, J.P.; Caffrey, C.; Melekin, A.; Singh, P. Post-Acute and Long-Term Care Providers and Services Users in the United States, 2017–2018; Vital and Health Statistics Series 3; Analytical and Epidemiological Studies; National Center for Health Statistics: Hyattsville, MD, USA, 2022; pp. 1–93.
  14. Eurostat. Healthcare Resource Statistics—Beds. 2023. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Healthcare_resource_statistics_-_beds (accessed on 30 July 2024).
  15. Laine, J.E.; Huybrechts, I.; Gunter, M.J.; Ferrari, P.; Weiderpass, E.; Tsilidis, K.; Aune, D.; Schulze, M.B.; Bergmann, M.; Temme, E.H.M.; et al. Co-Benefits from Sustainable Dietary Shifts for Population and Environmental Health: An Assessment from a Large European Cohort Study. Lancet Planet. Health 2021, 5, e786–e796. [Google Scholar] [CrossRef]
  16. Conti, A.; Concina, D.; Opizzi, A.; Sanguedolce, A.; Rinaldi, C.; Russotto, S.; Grossini, E.; Gramaglia, C.M.; Zeppegno, P.; Panella, M. Effectiveness of a combined lifestyle intervention for older people in long-term care: A randomized controlled trial. Arch. Gerontol. Geriatr. 2024, 120, 105340. [Google Scholar] [CrossRef]
  17. Garavaglia, G.; Lettieri, E.; Agasisti, T.; Lopez, S. Efficiency and quality of care in nursing homes: An Italian case study. Health Care Manag. Sci. 2010, 14, 22–35. [Google Scholar] [CrossRef] [PubMed]
  18. Wiedmann, T.; Minx, J. A Definition of Carbon Footprint. CC Pertsova Ecol. Econ. Res. Trends 2008, 2, 55–65. [Google Scholar]
  19. Shabir, I.; Dash, K.K.; Dar, A.H.; Pandey, V.K.; Fayaz, U.; Srivastava, S.; R, N. Carbon Footprints Evaluation for Sustainable Food Processing System Development: A Comprehensive Review. Future Foods 2023, 7, 100215. [Google Scholar] [CrossRef]
  20. Rodríguez-Jiménez, L.; Romero-Martín, M.; Spruell, T.; Steley, Z.; Gómez-Salgado, J. The Carbon Footprint of Healthcare Settings: A Systematic Review. J. Adv. Nurs. 2023, 79, 2830–2844. [Google Scholar] [CrossRef] [PubMed]
  21. Pertsova, C.C. (Ed.) Ecological Economics Research Trends; Nova Science Publishers: New York, NY, USA, 2007. [Google Scholar]
  22. Ferrari, M.; Benvenuti, L.; Rossi, L.; De Santis, A.; Sette, S.; Martone, D.; Piccinelli, R.; Le Donne, C.; Leclercq, C.; Turrini, A. Could Dietary Goals and Climate Change Mitigation Be Achieved Through Optimized Diet? The Experience of Modeling the National Food Consumption Data in Italy. Front. Nutr. 2020, 7, 48. [Google Scholar] [CrossRef]
  23. Volanti, M.; Arfelli, F.; Neri, E.; Saliani, A.; Passarini, F.; Vassura, I.; Cristallo, G. Environmental Impact of Meals: How Big Is the Carbon Footprint in the School Canteens? Foods 2022, 11, 193. [Google Scholar] [CrossRef]
  24. Tregear, A.; Sayed, M.; Brennan, M. Strengthening European Food Chain Sustainability by Quality and Procurement Policy; Technical Report, Strength2Food; European Commission: Luxembourg, 2019. [Google Scholar]
  25. Wrobel-Jedrzejewska, M.; Polak, E. Determination of Carbon Footprint in the Processing of Frozen Vegetables Using an Online Energy Measurement System. J. Food Eng. 2022, 322, 110974. [Google Scholar] [CrossRef]
  26. Bartocci, P.; Fantozzi, P.; Fantozzi, F. Environmental Impact of Sagrantino and Grechetto Grapes Cultivation for Wine and Vinegar Production in Central Italy. J. Clean. Prod. 2017, 140, 569–580. [Google Scholar] [CrossRef]
  27. Stubbendorff, A.; Sonestedt, E.; Ramne, S.; Drake, I.; Hallström, E.; Ericson, U. Development of an EAT-Lancet Index and Its Relation to Mortality in a Swedish Population. Am. J. Clin. Nutr. 2022, 115, 705–716. [Google Scholar] [CrossRef]
  28. Vitale, M.; Giosuè, A.; Vaccaro, O.; Riccardi, G. Recent Trends in Dietary Habits of the Italian Population: Potential Impact on Health and the Environment. Nutrients 2021, 13, 476. [Google Scholar] [CrossRef]
  29. Food and Agriculture Organisation of the United Nations. Food Wastage Footprint & Climate Change; Food and Agriculture Organisation of the United Nations: Rome, Italy, 2015. [Google Scholar]
  30. Struijk, E.A.; Fung, T.T.; Sotos-Prieto, M.; Rodriguez-Artalejo, F.; Willett, W.C.; Hu, F.B.; Lopez-Garcia, E. Red meat consumption and risk of frailty in older women. J. Cachexia Sarcopenia Muscle 2021, 13, 210–219. [Google Scholar] [CrossRef] [PubMed]
  31. Granic, A.; Davies, K.; Adamson, A.; Kirkwood, T.; Hill, T.R.; Siervo, M.; Mathers, J.C.; Jagger, C. Dietary Patterns High in Red Meat, Potato, Gravy, and Butter Are Associated with Poor Cognitive Functioning but Not with Rate of Cognitive Decline in Very Old Adults. J. Nutr. 2016, 146, 265–274. [Google Scholar] [CrossRef] [PubMed]
  32. Zeng, F.-F.; Fan, F.; Xue, W.-Q.; Xie, H.-L.; Wu, B.-H.; Tu, S.-L.; Ouyang, W.-F.; Chen, Y.M. The association of red meat, poultry, and egg consumption with risk of hip fractures in elderly Chinese: A case–control study. Bone 2013, 56, 242–248. [Google Scholar] [CrossRef] [PubMed]
  33. Hirvonen, K.; Bai, Y.; Headey, D.; Masters, W.A. Affordability of the EAT–Lancet Reference Diet: A Global Analysis. Lancet Glob. Health 2020, 8, e59–e66. [Google Scholar] [CrossRef] [PubMed]
  34. Rosenbaum, D.I.; Lamphear, C.F.; Rebeck, K. The Effects of Acuity and Utilization on Nursing Home Costs. Rev. Ind. Organ. 2001, 19, 279–294. [Google Scholar] [CrossRef]
  35. Tucci, M.; Martini, D.; Bo’, C.D.; Marino, M.; Battezzati, A.; Bertoli, S.; Porrini, M.; Riso, P. An Italian-Mediterranean Dietary Pattern Developed Based on the EAT-Lancet Reference Diet (EAT-IT): A Nutritional Evaluation. Foods 2021, 10, 558. [Google Scholar] [CrossRef]
  36. Tucci, M.; Martini, D.; Marino, M.; Bo’, C.D.; Vinelli, V.; Biscotti, P.; Parisi, C.; Amicis, R.D.; Battezzati, A.; Bertoli, S.; et al. The Environmental Impact of an Italian-Mediterranean Dietary Pattern Based on the EAT-Lancet Reference Diet (EAT-IT). Foods 2022, 11, 3352. [Google Scholar] [CrossRef]
  37. Semba, R.D.; De Pee, S.; Kim, B.; McKenzie, S.; Nachman, K.; Bloem, M.W. Adoption of the `Planetary Health Diet’ Has Different Impacts on Countries’ Greenhouse Gas Emissions. Nat. Food 2020, 1, 481–484. [Google Scholar] [CrossRef]
  38. Vetrano, D. Trend Di Fragilità e Long-Term Care in Italia; Technical Report; Italia Longeva: San Vendemiano, Italy, 2023. [Google Scholar]
  39. Zorbas, C.; Palermo, C.; Chung, A.; Iguacel, I.; Peeters, A.; Bennett, R.; Backholer, K. Factors Perceived to Influence Healthy Eating: A Systematic Review and Meta-Ethnographic Synthesis of the Literature. Nutr. Rev. 2018, 76, 861–874. [Google Scholar] [CrossRef]
  40. Törmä, J.; Winblad, U.; Saletti, A.; Cederholm, T. Strategies to Implement Community Guidelines on Nutrition and Their Long-Term Clinical Effects in Nursing Home Residents. J. Nutr. Health Aging 2015, 19, 70–76. [Google Scholar] [CrossRef]
  41. Dernini, S.; Berry, E.M. Mediterranean Diet: From a Healthy Diet to a Sustainable Dietary Pattern. Front. Nutr. 2015, 2, 15. [Google Scholar] [CrossRef] [PubMed]
  42. Anteo Impresa Sociale. Anteo Impresa Sociale—Servizi. Available online: https://www.anteocoop.it/servizi/ (accessed on 2 June 2024).
  43. Anna, S. Cross-Cultural Differences in Food Choice. In Food, People and Society; Frewer, L.J., Risvik, E., Schifferstein, H., Eds.; Springer: Berlin/Heidelberg, Germany, 2001; pp. 233–246. [Google Scholar] [CrossRef]
  44. Sergi, G.; Bano, G.; Pizzato, S.; Veronese, N.; Manzato, E. Taste Loss in the Elderly: Possible Implications for Dietary Habits. Crit. Rev. Food Sci. Nutr. 2017, 57, 3684–3689. [Google Scholar] [CrossRef] [PubMed]
  45. Mistretta, M.; Caputo, P.; Cellura, M.; Cusenza, M.A. Energy and Environmental Life Cycle Assessment of an Institutional Catering Service: An Italian Case Study. Sci. Total Environ. 2019, 657, 1150–1160. [Google Scholar] [CrossRef] [PubMed]
  46. Williams, P.; Walton, K. Plate Waste in Hospitals and Strategies for Change. E-SPEN Eur. E-J. Clin. Nutr. Metab. 2011, 6, e235–e241. [Google Scholar] [CrossRef]
  47. Antasouras, G.; Vasios, G.K.; Kontogiorgis, C.; Ioannou, Z.; Poulios, E.; Deligiannidou, G.E.; Troumbis, A.Y.; Giaginis, C. How to Improve Food Waste Management in Hospitals through Focussing on the Four Most Common Measures for Reducing Plate Waste. Int. J. Health Plan. Manag. 2023, 38, 296–316. [Google Scholar] [CrossRef]
  48. Cook, N.; Goodwin, D.; Porter, J.; Collins, J. Food and Food-related Waste Management Strategies in Hospital Food Services: A Systematic Review. Nutr. Diet. 2023, 80, 116–142. [Google Scholar] [CrossRef]
  49. Dhir, A.; Talwar, S.; Kaur, P.; Malibari, A. Food Waste in Hospitality and Food Services: A Systematic Literature Review and Framework Development Approach. J. Clean. Prod. 2020, 270, 122861. [Google Scholar] [CrossRef]
  50. Hansen, K.V.; Derdowski, L.A. Sustainable Food Consumption in Nursing Homes: Less Food Waste with the Right Plate Color? Sustainability 2020, 12, 6525. [Google Scholar] [CrossRef]
  51. McAdams, B.; Robinson, E.; Gordon, R. Investigating Food Waste Generation at Long-Term Care Facilities in Ontario. Br. Food J. 2023, 125, 2902–2917. [Google Scholar] [CrossRef]
  52. Lenzen, M.; Malik, A.; Li, M.; Fry, J.; Weisz, H.; Pichler, P.P.; Chaves, L.S.M.; Capon, A.; Pencheon, D. The environmental footprint of health care: A global assessment. Lancet Planet. Health 2020, 4, e271–e279. [Google Scholar] [CrossRef]
Figure 1. Daily GHGEs of the two seasonal menus.
Figure 1. Daily GHGEs of the two seasonal menus.
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Figure 2. Adherence to the EAT-Lancet Planetary Health Diet.
Figure 2. Adherence to the EAT-Lancet Planetary Health Diet.
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Figure 3. Distribution of the sample of 20,000 permutations.
Figure 3. Distribution of the sample of 20,000 permutations.
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Figure 4. Association between GHGEs and adherence to the EAT-Lancet Planetary Health Diet.
Figure 4. Association between GHGEs and adherence to the EAT-Lancet Planetary Health Diet.
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Table 1. Meal structure.
Table 1. Meal structure.
MealNumber of Available Choices
Breakfast3
Mid-morning hydration 11
LunchFirst course 24
Second course4
Side dish3
Dessert/Fruits3
Afternoon snack 33
DinnerFirst course 24
Second course4
Side dish3
Dessert/Fruits3
1 150 mL of fruit juice. 2 This serving is also available in a modified consistency (smoothie meal) for dysphagic patients. 3 Confectionery products.
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Conti, A.; Opizzi, A.; Binala, J.G.; Cortese, L.; Barone-Adesi, F.; Panella, M. Evaluation of the Climate Impact and Nutritional Quality of Menus in an Italian Long-Term Care Facility. Nutrients 2024, 16, 2815. https://doi.org/10.3390/nu16172815

AMA Style

Conti A, Opizzi A, Binala JG, Cortese L, Barone-Adesi F, Panella M. Evaluation of the Climate Impact and Nutritional Quality of Menus in an Italian Long-Term Care Facility. Nutrients. 2024; 16(17):2815. https://doi.org/10.3390/nu16172815

Chicago/Turabian Style

Conti, Andrea, Annalisa Opizzi, Jefferson Galapon Binala, Loredana Cortese, Francesco Barone-Adesi, and Massimiliano Panella. 2024. "Evaluation of the Climate Impact and Nutritional Quality of Menus in an Italian Long-Term Care Facility" Nutrients 16, no. 17: 2815. https://doi.org/10.3390/nu16172815

APA Style

Conti, A., Opizzi, A., Binala, J. G., Cortese, L., Barone-Adesi, F., & Panella, M. (2024). Evaluation of the Climate Impact and Nutritional Quality of Menus in an Italian Long-Term Care Facility. Nutrients, 16(17), 2815. https://doi.org/10.3390/nu16172815

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