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Kang M, Wang X, Chen J, Fang Q, Liu J, Tang L, Liu L, Cao W, Zhu Y, Liu B. Extreme low-temperature events can alleviate micronutrient deficiencies while increasing potential health risks from heavy metals in rice. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 334:122165. [PMID: 37429493 DOI: 10.1016/j.envpol.2023.122165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 07/05/2023] [Accepted: 07/07/2023] [Indexed: 07/12/2023]
Abstract
Despite global warming, extreme low-temperature stress (LTS) events pose a significant threat to rice production (especially in East Asia) that can significantly impact micronutrient and heavy metal elements in rice. With two billion people worldwide facing micronutrient deficiencies (MNDs) and widespread heavy metal pollution in rice, understanding these impacts is crucial. We conducted detailed extreme LTS experiments with two rice (Oryza sativa L.) cultivars (Huaidao 5 and Nanjing 46) grown under four temperature levels (from 21/27 °C to 6/12 °C) and three LTS durations (three, six, and nine days). We observed significant interaction effects for LTS at different growth stages, durations and temperature levels on the contents and accumulation of mineral elements. The contents of most mineral elements (such Fe, Zn, As, Cu, and Cd) increased significantly under severe LTS at flowering, but decreased under LTS at the grain-filling stage. The accumulations of all mineral elements decreased at the three growth stages under LTS due to decreased grain weight. The contents and accumulation of mineral elements were more sensitive to LTS at the peak flowering stage than at the other two stages. Furthermore, the contents of most mineral elements in Nanjing 46 show larger variation under LTS compared to Huaidao 5. Accumulated cold degree days (ACDD, °C·d) were found to be suitable for quantifying the effects of LTS on the relative contents and accumulations of mineral elements. LTS at the flowering stage will help alleviate MNDs, but may also increase potential health risks from heavy metals. These results provide valuable insights for evaluating future climate change impacts on rice grain quality and potential health risks from heavy metals.
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Affiliation(s)
- Min Kang
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Xue Wang
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Jiankun Chen
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Qizhao Fang
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Jiaming Liu
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Liang Tang
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Leilei Liu
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Weixing Cao
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Yan Zhu
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
| | - Bing Liu
- National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, PR China.
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Ji W, Hu X, Kang M, Qiu X, Liu B, Tang L, Zhu Y, Cao W, Liu L. Effects of pre-anthesis low-temperature stress on the mineral components in wheat grains. FRONTIERS IN PLANT SCIENCE 2023; 14:1221466. [PMID: 37575945 PMCID: PMC10413566 DOI: 10.3389/fpls.2023.1221466] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/11/2023] [Indexed: 08/15/2023]
Abstract
Introduction The nutritional value of wheat is important to human health. Despite minerals being essential nutrients for the human body, they are often neglected in consideration of the nutritional quality of cereal grains. Extreme low-temperature events have become more frequent due to the current environmental unpredictability, and it is yet unknown how the mineral components in grains are affected by low temperature. Methods To provide valuable information for enhancing the nutritional quality of wheat under potential climatic conditions, we treated different cold-sensitive wheat cultivars at four low-temperature levels during the individual and combined stages of jointing and booting in controlled-environment phytotrons. Results and Discussion In general, the contents of P, K, Ca, and Zn in the cold-sensitive cultivar (Yangmai16) and K in the cold-tolerant cultivar (Xumai30) were enhanced by low temperature. However, the accumulation of minerals in mature grains was reduced under low-temperature treatment, except for P, Ca, and Zn in Yangmai16. In addition, the mineral content and accumulation in Yangmai16 (except for Fe) were more susceptible to low temperature during the combined stages, while the mineral content and accumulation of K, Fe, and Zn in Xumai30 were more susceptible to low temperature during the booting stage. Moreover, Yangmai16 under extremely low temperatures (T3 and T4) during booting and Xumai30 under all low-temperature treatments during the combined stages had lower comprehensive evaluation values. These findings offer a crucial reference for enhancing the nutritional quality of wheat grains under climate change.
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Affiliation(s)
- Wenbin Ji
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Xinyi Hu
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Meng Kang
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Xiaolei Qiu
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Bing Liu
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Liang Tang
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Yan Zhu
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Weixing Cao
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Leilei Liu
- Key Laboratory for Crop System Analysis and Decision Making, National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Ministry of Education, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory for Information Agriculture, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
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Vicario DR, Holman I, Sutcliffe C, Hess T. Synergies and trade-offs in drought resilience within a multi-level UK food supply chain. REGIONAL ENVIRONMENTAL CHANGE 2023; 23:55. [PMID: 37033697 PMCID: PMC10073057 DOI: 10.1007/s10113-023-02046-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 02/11/2023] [Indexed: 06/09/2023]
Abstract
Weather extremes are the biggest challenge for supply chains worldwide, with food supply chains particularly exposed due to agriculture's sensitivity to weather conditions. Whilst attention has been paid to farm-level impacts from, and adaptation to, weather extremes, there remains a need to better understand how different actors along the supply chain suffer, react and adapt to these natural hazards and how their resilience-building strategies affect other actors' and the whole system's resilience. Taking the UK potato supply chain as a case study, this paper analyses the synergies and trade-offs in drought resilience in a multi-level food supply chain. Data from an online survey (87) and interviews with key informants (27) representing potato supply-chain actors (growers, packers, processors, retailers) were used to analyse drought risk perceptions, impacts and coping strategies, long-term resilience measures and further actions to build system resilience. Results suggest that the potato supply chain has increased its resilience to weather extremes due to retailers and packers having a wider geographical spread of supply, an increasing reliance on forward contracts and favouring growers with water security. However, a conceptual framework of resilience-building strategies adopted by supply chain actors shows that these measures are largely designed to reduce their own risk without considering implications for other parts of the chain and the system as a whole. A more integrated approach to promote drought resilience in complex food supply chains that enables improved vertical collaboration and trust between actors is therefore needed.
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Affiliation(s)
- Dolores Rey Vicario
- Centre for Water, Environment and Development, Cranfield University, Cranfield, Bedford, MK43 0AL UK
| | - Ian Holman
- Centre for Water, Environment and Development, Cranfield University, Cranfield, Bedford, MK43 0AL UK
| | - Chloe Sutcliffe
- Centre for Water, Environment and Development, Cranfield University, Cranfield, Bedford, MK43 0AL UK
- Science and Collections Division, Royal Horticultural Society, Wisley, Woking UK
| | - Tim Hess
- Centre for Water, Environment and Development, Cranfield University, Cranfield, Bedford, MK43 0AL UK
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Agostoni C, Baglioni M, La Vecchia A, Molari G, Berti C. Interlinkages between Climate Change and Food Systems: The Impact on Child Malnutrition-Narrative Review. Nutrients 2023; 15:416. [PMID: 36678287 PMCID: PMC9865989 DOI: 10.3390/nu15020416] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/14/2023] Open
Abstract
The pandemics of obesity, undernutrition, and climate change represent severe threats to child health. They co-occur; interact with each other to produce sequelae at biological, psychological, or social levels; and share common underlying drivers. In this paper, we review the key issues concerning child diet and nutritional status, focusing on the interactions with climate and food systems. Inadequate infant and young child feeding practices, food insecurity, poverty, and limited access to health services are the leading causes of malnutrition across generations. Food system industrialization and globalization lead to a double burden of malnutrition, whereby undernutrition (i.e., stunting, wasting, and deficiencies in micronutrients) coexists with overweight and obesity, as well as to harmful effects on climate. Climate change and the COVID-19 pandemic are worsening child malnutrition, impacting the main underlying causes (i.e., household food security, dietary diversity, nutrient quality, and access to maternal and child health), as well as the social, economic, and political factors determining food security and nutrition (livelihoods, income, infrastructure resources, and political context). Existing interventions have the potential to be further scaled-up to concurrently address undernutrition, overnutrition, and climate change by cross-cutting education, agriculture, food systems, and social safety nets. Several stakeholders must work co-operatively to improve global sustainable nutrition.
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Affiliation(s)
- Carlo Agostoni
- Pediatric Area, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Mattia Baglioni
- Action Contre la Faim (ACF-France), CEDEX, 93558 Montreuil, France
| | - Adriano La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Giulia Molari
- Pediatric Area, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Cristiana Berti
- Pediatric Area, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
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Jiang S, Liu J, Qi X, Wang R, Wang X, Wang K, Xu Q, Chen P, Meng N, Wu Q, Shan L. Global, Regional, and National Estimates of Nutritional Deficiency Burden among Reproductive Women from 2010 to 2019. Nutrients 2022; 14:832. [PMID: 35215481 PMCID: PMC8877546 DOI: 10.3390/nu14040832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/30/2022] [Accepted: 02/11/2022] [Indexed: 02/04/2023] Open
Abstract
Women of reproductive age (15-49 years) are often considered a vulnerable population affected by nutritional deficiencies, impairing their health and that of their offspring. We briefly introduced (a) the incidence and disability-adjusted life years (DALYs) trends from 2010 to 2019 and (b) the correlation between sex differences and income levels and nutritional deficiencies of reproductive women firstly. Notably, the burden of overall nutritional deficiencies among reproductive women remained generally stable from 2010 to 2019, whereas the iodine and vitamin A deficiencies as a subcategory were associated with increased incidence rates and DALYs, respectively. A significant increasing trend occurred in South Asia, Southeast Asia, and Turkey for incidence, and Western Sub-Saharan Africa and Zimbabwe had a strong increase for DALYs. Further analysis of the correlation between nutritional deficiency incidence and economic capacity showed that they were not correlated with the income of women themselves, as was the result of income difference with men. The results of this study will help to identify gaps in nutritional deficiency burden among reproductive women and facilitate the development of regional or national responses. Compared with economic capital, macroscopic political guarantees and social and cultural capital are important measures to remedy the nutritional deficiencies of reproductive women.
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Affiliation(s)
- Shengchao Jiang
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Jingjing Liu
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Xinye Qi
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Rizhen Wang
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Xing Wang
- The Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310014, China;
| | - Kexin Wang
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Qiao Xu
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Peiwen Chen
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Nan Meng
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Qunhong Wu
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
| | - Linghan Shan
- Department of Health Policy, Health Management College, Harbin Medical University, Harbin 150081, China; (S.J.); (J.L.); (X.Q.); (R.W.); (K.W.); (Q.X.); (P.C.); (N.M.)
- Department of Social Medicine, School of Public Health, Harbin Medical University Harbin, Harbin 150081, China
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Scarpa G, Berrang-Ford L, Twesigomwe S, Kakwangire P, Peters R, Zavaleta-Cortijo C, Patterson K, Namanya DB, Lwasa S, Nowembabazi E, Kesande C, Harris-Fry H, Cade JE. A Community-Based Approach to Integrating Socio, Cultural and Environmental Contexts in the Development of a Food Database for Indigenous and Rural Populations: The Case of the Batwa and Bakiga in South-Western Uganda. Nutrients 2021; 13:nu13103503. [PMID: 34684504 PMCID: PMC8537349 DOI: 10.3390/nu13103503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/24/2021] [Accepted: 09/30/2021] [Indexed: 11/16/2022] Open
Abstract
Comprehensive food lists and databases are a critical input for programs aiming to alleviate undernutrition. However, standard methods for developing them may produce databases that are irrelevant for marginalised groups where nutritional needs are highest. Our study provides a method for identifying critical contextual information required to build relevant food lists for Indigenous populations. For our study, we used mixed-methods study design with a community-based approach. Between July and October 2019, we interviewed 74 participants among Batwa and Bakiga communities in south-western Uganda. We conducted focus groups discussions (FGDs), individual dietary surveys and markets and shops assessment. Locally validated information on foods consumed among Indigenous populations can provide results that differ from foods listed in the national food composition tables; in fact, the construction of food lists is influenced by multiple factors such as food culture and meaning of food, environmental changes, dietary transition, and social context. Without using a community-based approach to understanding socio-environmental contexts, we would have missed 33 commonly consumed recipes and foods, and we would not have known the variety of ingredients’ quantity in each recipe, and traditional foraged foods. The food culture, food systems and nutrition of Indigenous and vulnerable communities are unique, and need to be considered when developing food lists.
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Affiliation(s)
- Giulia Scarpa
- School of Environment, University of Leeds, Leeds LS2 9JT, UK;
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK;
- Correspondence: ; +44-74-15966075
| | - Lea Berrang-Ford
- School of Environment, University of Leeds, Leeds LS2 9JT, UK;
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
| | - Sabastian Twesigomwe
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
| | - Paul Kakwangire
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
| | - Remco Peters
- School for Policy Studies, University of Bristol, Bristol BS8 1TH, UK;
| | - Carol Zavaleta-Cortijo
- Facultad de Salud Publica y Administracion, Universidad Peruana Cayetano Heredia, San Martín de Porres 15102, Peru;
| | - Kaitlin Patterson
- Department of Population Medicine, University of Guelph, Guelph, ON N1G 2W1, Canada;
| | - Didacus B. Namanya
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
- Ministry of Health, Lourdel Road, Nakasero P.O. Box 7272, Uganda
| | - Shuaib Lwasa
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
- Department of Geography, Makerere University, Kampala, Uganda
- The Global Center on Adaptation, 3072 Rotterdam, The Netherlands
| | - Ester Nowembabazi
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
| | - Charity Kesande
- Indigenous Health Adaptation to Climate Change Research Team, Kanungu District, Buhoma, Uganda; (S.T.); (P.K.); (D.B.N.); (S.L.); (E.N.); (C.K.)
| | - Helen Harris-Fry
- Department of Population Health, London School of Hygiene & Tropical Medicine, Keppel St, London WC1E 7HT, UK;
| | - Janet E. Cade
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK;
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Blakstad MM, Smith ER. Climate change worsens global inequity in maternal nutrition. Lancet Planet Health 2020; 4:e547-e548. [PMID: 33278369 DOI: 10.1016/s2542-5196(20)30246-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 09/24/2020] [Indexed: 06/12/2023]
Affiliation(s)
- Mia M Blakstad
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA 02115, USA.
| | - Emily R Smith
- Department of Global Health and Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
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Geyik O, Hadjikakou M, Bryan BA. Spatiotemporal trends in adequacy of dietary nutrient production and food sources. GLOBAL FOOD SECURITY 2020. [DOI: 10.1016/j.gfs.2020.100355] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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