ArticleBMC public health2019
Diet optimization using linear programming to develop low cost cancer prevention food plan for selected adults in Kuala Lumpur, Malaysia.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Effectiveness of optimized food-based recommendation promotion to improve nutritional status and lipid profiles among Minangkabau women with dyslipidemia: A cluster-randomized trial.BMC public health · 2022Trial
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- Advances in Alternative Protein Design: Nutritional Constraints, Sensory Limits, and Computational Solutions.Plant foods for human nutrition (Dordrecht, Netherlands) · 2026Review
- Meta-analysis of extremotolerant microbes to address nutrient deficiencies in bioregenerative life support systems during Deep-space Missions.NPJ science of food · 2025Article
- Nutrient Intake Adequacy among Adults in Indonesia and Malaysia: A Systematic Review and Meta-Analysis.Current developments in nutrition · 2025Review
- An optimization protocol for MRI examination resource allocation based on demand forecasting and linear programming.Scientific reports · 2025Article
- The use of linear programming approach in diet optimization among children under five: a scoping review.BMC public health · 2025Article
- Qualitative insights into ecobiosocial factors influencing colorectal cancer risk in Malaysia.Health psychology and behavioral medicine · 2025Article
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- Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers' food program in Brazil.BMC nutrition · 2023Article
- A Scoping Review of Epidemiological Studies on Intake of Sugars in Geographically Dispersed Asian Countries: Comparison of Dietary Assessment Methodology.Advances in nutrition (Bethesda, Md.) · 2022Article
- Health, access and nutritional issues among low-income population in Malaysia: introductory note.BMC public health · 2019Article
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Abstract
backgroundPoor dietary habits have been identified as one of the cancer risks factors in various epidemiological studies. Consumption of healthy and balance diet is crucial to reduce cancer risk. Cancer prevention food plan should consist of all the right amounts of macronutrients and micronutrients. Although dietary habits could be changed, affordability of healthy foods has been a major concern, as the price of healthy foods are more expensive the unhealthy counterparts.
methodsTherefore, using linear programming, this study is aimed to develop a healthy and balanced menu with minimal cost in accordance to individual needs that could in return help to prevent cancer. A cross sectional study involving 100 adults from a local university in Kuala Lumpur was conducted in 3 phases. The first phase is the data collection for the subjects, which includes their socio demographic, anthropometry and diet recall. The second phase was the creation of a balanced diet model at a minimum cost. The third and final phase was the finalization of the cancer prevention menu. Optimal and balanced menus were produced based on respective guidelines of WCRF/AICR (World Cancer Research Fund/ American Institute for Cancer Research) 2007, MDG (Malaysian Dietary Guidelines) 2010 and RNI (Recommended Nutrient Intake) 2017, with minimum cost.
resultsBased on the diet recall, most of subjects did not achieve the recommended micronutrient intake for fiber, calcium, potassium, iron, B12, folate, vitamin A, vitamin E, vitamin K, and beta-carotene. While, the intake of sugar (51 ± 19.8 g), (13% ± 2%) and sodium (2585 ± 544 g) was more than recommended. From the optimization model, three menus, which met the dietary guidelines for cancer prevention by WCRF/AICR 2007, MDG 2010 and RNI 2017, with minimum cost of RM7.8, RM9.2 and RM9.7 per day were created.
conclusionLinear programming can be used to translate nutritional requirements based on selected Dietary Guidelines to achieve a healthy, well-balanced menu for cancer prevention at minimal cost. Furthermore, the models could help to shape consumer food choice decision to prevent cancer especially for those in low income group where high cost for health food has been the main deterrent for healthy eating.
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