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Diet optimization using linear programming to develop low cost cancer prevention food plan for selected adults in Kuala Lumpur, Malaysia

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cris.lastimport.scopus2024-12-07T10:22:50Z
dc.Chemicals/CASDietary Fiber; Micronutrients
dc.FundingDetailsWorld Cancer Research Fund World Cancer Research Fund Universiti Kebangsaan Malaysia Universiti Kebangsaan Malaysia Desert Research Institute Association for International Cancer Research American Institute for Cancer Research Ministry of Health Universiti Kebangsaan Malaysia Universiti Kebangsaan Malaysia: NN-2017-128
dc.FundingDetailsAICR: American Institute for Cancer Research; BMI: Body Mass Index; DNA: Deoxyribonucleic Acid; DRI: Dietary Recommended Intake; KPDNKK: Ministry of Domestic Trade, Cooperative, and Consumerism; LB: Lower bound; LP: Linear Programming; MANS: Malaysian Adult Nutrition Survey; MDG: Malaysian Dietary Guidelines; NHMS: National Health Morbidity Survey; RNI: Recommended Nutrient Intake; UKMREC: Universiti Kebangsaan Malaysia (National University of Malaysia) Medical Research Ethics Committee; UL: Upper bound; WCRF: World Cancer Research Fund
dc.FundingDetailsThe authors acknowledged the financial assistance for publication received from the Research University Grant awarded by the Ministry of Health to the National University of Malaysia specifically for the Consortium of B40 Research (CB40R) under the auspice of B40 Grand Challenges (IDE 2018�01).
dc.FundingDetailsThis study was approved by the Universiti Kebangsaan Malaysia (National University of Malaysia) Medical Research Ethics Committee (UKMREC) (NN-2017-128). All participants provided written consent.
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia (UKM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorAlaini R.en_US
dc.contributor.authorRajikan R.en_US
dc.contributor.authorElias S.M.en_US
dc.date.accessioned2024-05-28T08:36:31Z
dc.date.available2024-05-28T08:36:31Z
dc.date.issued2019
dc.descriptionBMC Public Health volume 19, Article number: 546 (2019)en_US
dc.description.abstractBackground: Poor 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. Methods: Therefore, 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. Results: Based 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. Conclusion: Linear 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo546
dc.identifier.citationAlaini, R., Rajikan, R. & Elias, S.M. Diet optimization using linear programming to develop low cost cancer prevention food plan for selected adults in Kuala Lumpur, Malaysia. BMC Public Health 19, 546 (2019). https://doi.org/10.1186/s12889-019-6872-4en_US
dc.identifier.doi10.1186/s12889-019-6872-4
dc.identifier.isiWOS:000471657300021
dc.identifier.issn14712458
dc.identifier.pmid31196148
dc.identifier.scopus2-s2.0-85067228414
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067228414&doi=10.1186%2fs12889-019-6872-4&partnerID=40&md5=a62eb11605029f3054e77df849635cf9
dc.identifier.urihttps://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-019-6872-4#citeas
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9158
dc.identifier.volume19
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherBioMed Central Ltd.en_US
dc.relation.conferenceBMC Public Healthen_US
dc.sourceScopus
dc.sourcetitleBMC Public Health
dc.subjectBalanced dieten_US
dc.subjectCancer preventionen_US
dc.subjectLinear programmingen_US
dc.titleDiet optimization using linear programming to develop low cost cancer prevention food plan for selected adults in Kuala Lumpur, Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication

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