Background 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.

Achieving nutritional requirements for pregnant women in rural or suburban households while maintaining the intake of local and culture-specific foods can be difficult. Usage of a linear programming approach can effectively generate diet optimization models that incorporate local and culturally acceptable menus. This study aimed to determine whether a realistic and affordable diet that achieves recommended nutrient intakes for pregnant women could be formulated from locally available foods in Malaysia. A cross-sectional study was conducted to assess the dietary intake of 78 pregnant women using a 24-h dietary recall and a 3-day food record. A market survey was also carried out to estimate the cost of raw foods that are frequently consumed. All linear programming analyses were done using Excel Solver to generate optimal dietary patterns. Our findings showed that the menus designed from diet optimization models using locally available foods would improve dietary adequacy for the seven food groups based on the Malaysian Dietary Guidelines 2010 (MDG 2010) and the 14 nutrients based on Recommended Nutrient Intake 2017 (RNI 2017) in pregnant women. However, inadequacies remained for iron and niacin, indicating that these nutrients may require supplementation.

This study aim to determine the relationship between food security with quality of life and nutritional status among low income students in a public university in Selangor, Malaysia. A cross-sectional survey was carried out on 108 low income students who were chosen by convenient sampling method. Students were interviewed using a structured questionnaire to obtain information on their sociodemographic characteristics, food security status, quality of life, anthropometric data, and dietary intake. Results showed that 69.4% of students were food insecure with 50% reported low food security and 19.4% with very low food security. For quality of life, students scored highest in social relationship domain (68.60±14.53) while lowest in physical health domain (53.87±10.42). There was no significant association between food security and quality of life, ethnic, age, family income, financial assistance, CGPA, and food expenditure (p>0.05). Majority of students (59.2%) had normal Body Mass Index (BMI), followed by 20.4% were overweight, 10.2% were obese, and 10.2% were underweight. There was no significant correlation between nutritional status with food security status (p>0.05). To estimate the minimum daily food expenditure to fulfil all nutrient requirements, an optimum diet model was created by using linear programming model. Result showed that the minimum price of one day menu for male and female student was USD 4.90 and USD 5.20 each. The cost was higher than their average food expenditure (USD 2.90), indicating that students in the university have to spend more money on food sold at the university cafeteria to fulfill their nutrient recommendation. Hence, relevant authorities should take appropriate initiatives so that the food insecurity problem among low income university students can be managed to improve their quality of life and nutritional status.

Healthy Eating Index (HEI) is a diet quality measure that assesses the population’s compliance towards dietary guidelines. In Malaysia, diet quality measure, though existing, has some limitations in terms of application and relevance. This study aims to develop a new standardized Malaysian Healthy Eating Index (S-MHEI) that can measure the diet quality of all Malaysians regardless of their energy requirement level. The Malaysian Dietary Guidelines (MDG) 2010 and MDG for Children and Adolescents (MDGCA) 2013 were used as main references in developing the index components. In addition, the latest Malaysian Adults Nutrition Survey (MANS) and Adolescent Nutrition Survey (ANS) were also referred to ensure the relevance of the components selected. For adequacy components, the least restrictive method was used in setting the standard for the scoring system. Meanwhile, the scoring system for moderation components was built based on the Recommended Nutrient Intake (RNI) 2017. The new S-MHEI comprises of 11 components with a maximum total score of 100. The least restrictive method allowed the index to be used across energy requirement levels. However, the index will not be sensitive towards adhering to the specific recommended amount of intake—which in effect, made the index focus on measuring diet quality rather than diet quantity.

Abstract-Differences in the socioeconomic profile may influences healthy food choices, particularly among individuals with low socioeconomic status. Thus, high-energy dense foods become the preferences compared to high nutritional content foods due to their cheaper price. The present study aims to develop healthy and palatable diet at the minimum cost based on Malaysian Dietary Guidelines 2010 and Recommended Nutrient Intake 2005 via linear programming. A total of 96 female adults from low socioeconomic families in Johor, South East Malaysia have been recruited for the present study. Anthropometric measurement; weight and height, socio-demographic information and 3-days food record have been collected from the subjects. In addition, data on food prices have also been collected. Then, a linear programming model has been developed to select the cheapest food combinations that could fulfil all the nutritional recommendations and palatable constraints in order to capture common dietary habit of the locals. Subsequently, healthy seven-days menus have been created using the optimal food servings estimated from the linear programming model. Dietary data have shown that the average energy intake among low-income adult women (1871 ± 317 kcal/day) is less than the nutrient recommendation. Thus, from the linear programming analysis, the minimum food cost has been estimated at RM6.55 (2.15 USD) for the total energy intake of 2000 kcal per day for a female adult which meets the recommendation of MDG 2010 and RNI 2005. In conclusion, linear programming may be a useful tool to develop healthy and palatable diets at a minimal cost in managing dietary problems among low socioeconomic groups where food expenditure becomes an important restraining factor. Eventually, low socioeconomics female adults would improve their nutritional intake by making wiser food choices to meet all the nutritional requirements, which lead to healthier life.