Submit manuscript...
Advances in
eISSN: 2378-3168

Obesity, Weight Management & Control

Research Article Volume 13 Issue 3

Macro-nutrient consumption and body weight status of university students

Muhammad muzaffar ali khan khattak, Nur nadzurah binti Mustafa

Department of Nutrition Sciences, Kulliyyah of Allied Health Sciences, International Islamic University, Malaysia

Correspondence: Muhammad muzaffar ali khan khattak, Department of Nutrition Sciences, Kulliyyah of Allied Health Sciences, International Islamic University, Malaysia

Received: May 31, 2023 | Published: June 15, 2023

Citation: khattak M, Mustafa N. Macro-nutrient consumption and body weight status of university students. Adv Obes Weight Manag Control. 2023;13(2):56-60. DOI: 10.15406/aowmc.2023.13.00393

Download PDF

Abstract

Objectives: The objective this study was to find out the prevalence of over-weight and obesity and the associated food consumption parameters among the university students.

Materials and methods: University students in the age range 17 – 25 years were conveniently enrolled from the campus based on their willingness and availability. This study was approved from the IIUM Research Ethics Committee, (IREC) approval ID No IREC 2018-195. In total 456 students were assessed for weight status and were categorized as under-weight, normal weight, over-weight and obese based on the WHO criteria. Furthermore, their energy, macronutrients consumption and food frequencies were recorded. Descriptive statistics were performed and association of these parameters with body weight was assessed using Pearson correlation analysis.

Results and findings: Among the students 60 were under-weight, 276 were normal weight, 96 were over-weight and 24 were obese.  There was imbalance in the energy and macronutrients intakes. Food frequency of fruits and vegetables was lowest. There was significant (p<0.001) association of energy and macronutrients consumption to the body weight status of the students.

Conclusion: This study shows that students are consuming imbalance food with less healthier choices.

Keywords: over-weight, obese, energy, macro-nutrients, correlation

Introduction

Students in universities are having bizarre food habits and most often it is the surrounding or the environment they dwell which provides limited choices and hence adopt unhealthy food habits.1 This led to the problem of body weight in terms of under-weight, over-weight, and obesity among students.2 There are various factors that can influence body weight of the university students and may end up in under-weight, over-wight or obesity. These factors include socio-economic, availability of food, personal lifestyle, study timetable, timekeeping, cooking skill, food taste, food taboo, state of mind, past food habit from adopted from sibling/family, knowledge and perception about nutritional benefit and level of physical activity. The socio-economic factors (SEF)/status of a family are the obvious factors that are affecting the nutritional status of children3,4 and of course student in the university as well.5 Among these factors, it appears that the financial condition of the student is the leading cause of body weight gain/loss. It has been observed that students who are cautious and well managed are able to maintain healthy body weight status6,7 reported that income level was a significant determinant of BMI status and the students from poor family’s income groups were having higher body weights compared to higher income groups. In another studied multivariate regression analysis for the prediction of body weight status among university students showed that carbohydrate, age, physical activity, anxiety, income level and smoking status have significant relationships with BMI.8,9 The common SEF affecting body weight status are presented in the Figure 1.

Figure 1 Socio-economic factors (SEF) contributing to nutritional status

The SEF of a family greatly affects food adoptions which are commonly seen among the less fortunate families it is well documented in literature that families with limited resources make poor quality and bargained food choices which may results in body weight gain.10 The SEF affects general human performance, including our bodily and psychological/emotional health.11 Poor SEF and the associated factors, for instance educational accomplishments12 family members numbers lead to altered behavior,13 deteriorated health status including under-weight, over-weight, and obesity.14 The SEF, such as the residing environmental conditions and the place of study affect the quality of life.15 The food selection greatly depends on the finances16 and friends/peers and siblings of the students.17 Furthermore, the food cooked in the neighborhood and of course availability on the campus12 of healthy choices. The habit and environment are considered important factor in the meal selection.18 Apart from these if the students are having skills to cook food also contribute to it.19 This study was designed to assess the correlates of under normal, over-weight and obese students dwelling in the IIUM Kuantan Campus.

Material and methods

Location of the study: University students in the age range 22.05 – 22.84 years were conveniently enrolled from the campus of International Islamic University Malaysia (IIUM) Kuantan, based on their willingness and availability on the campus.

Sample Size: In total 456 students were included in this study who were residing on the campus of the IIUM Kuantan sub-campus.

Inclusion and exclusion criteria: The students residing on campus, undergraduate, healthy, and willing to participate were included in the study whereas the students residing off campus, postgraduate, having health issues and not willing to participate were excluded from the study.

Collection of data:

The data on various parameters were recorded on a simple questionnaire including having two parts. In the part a) demographic information and age, self-reported current body weight, height, BMI, BMI category (under, normal, over-weight & obese) were recorded. In the part b) types of snacks consumed per week, frequency of vegetables per week, frequency of fruits per week, frequency of fast-food per week, preference of food (grilled, steamed, fried, soup, boiled), frequency of junk food and carbonated drink per week were included. The energy, carbohydrates protein and fat intakes/day were later calculated. It is worthwhile to mention that the carbohydrates, protein, and fats intakes were recorded for three days (2 weekdays and 1 day of weekend) and the intakes were averaged for daily intakes.

Body mass index - BMI

The body weights and heights were compiled, and the BMI of the students were calculated by dividing weights (kgs) of the students over height in metres (kg/m2).

BMI = Weight (kgs)/Height (m2)

Compilation of data: The data were compiled from the questionnaire and various calculations were performed. After calculations of BMI the students were categorized to body weight status. The students were categorized as under-weight, normal weight, over-weight and obese based on the WHO criteria as shown in the Table 1

BMI

Category

Below 18.5

Underweight

18.5–24.9

Normal weight

25.0–29.9

Pre-obesity (Over-weight)

30.0 and over

Obese

Table 1 Weight status

Energy and nutrients calculation:

The food frequencies per week were compiled from the questionnaire. Furthermore, their macronutrients consumption was calculated using Nutritionist Pro software using the Malaysian Dietary Guidelines (2020) composition for the food items can be accessed on https://hq.moh.gov.my/nutrition/wp-content/uploads/2021/07/Web%20MDG.pdf.

This was followed by energy calculations from the macronutrients and percent contribution of energy from the macronutrients. Furthermore, the recommended energy was calculated according to the students body age, body weight, height, physical activity level (PALs) for low active 1.4, moderately active 1.60, active 1.80 and very active 2.0  factors were used as mentioned in the Recommended Nutrient Intakes for Malaysia (RNI, 2017) can be accessed on  https://hq.moh.gov.my/nutrition/wp-content/uploads/2017/05/FA-Buku-RNI.pdf

Ethical considerations: This study was approved from the IIUM Research Ethics Committee, (IREC) approval ID No IREC 2018-195.

Statistical analysis

The compiled data was processed, and analysis was performed using SPSS software. Descriptive (mean ± SD and percents) statistics were performed and association of these parameters with body weight was assessed using Pearson correlation analysis.

Results

The demographic and anthropometric

The demographic and anthropometric information of the students are presented in the Table 2. Among the students assessed for their current body weight status it was observed that 60.09 % of the students were normal weight and the rest were under, over-weight and obese based on WHO classification (WHO, 2023). Food frequencies of the students: Some of the food frequencies of the students are presented in the Table 3 and according to them the listed foods are the most preferred foods. It appears that the students are consuming less fruits and vegetables in their daily routine meals. Apart from this, their preferred foods, there were several others which are not mentioned in the Table 3. These are namely nuts, biscuits, instant noodles, chocolate bars, ice cream, chips, sausages, keropok lekor, apollos, candies, nuggets, pastries, sweets, cookies including types of snacks consumed per week, frequency of fast-food per week, frequency of junk food and carbonated drink per week. The students were having lowest frequency for healthy food items for instance boiled food items and fruits etc.

Variables

Under-weight

Normal weight

Over-weight (Means ± SD)

Obese

 

(Means ± SD)

(Means ± SD)

(N = 96)

 (Means ± SD)

 

(N=60)

(N = 276)

 

(N = 24)

Age (Years)

22.05 ± 1.58

22.42 ±1.07

22.84 ±0.80

22.13 ±0.61

Body Weight (kgs)

43.63 ± 4.56

55.32 ±7.10

70.06 ±7.03

92.19 ±18.13

Height (cms)

157.68 ±7.13

159.59 ±7.10

159.82 ±7.48

161 ±8.57

BMI (meter2)

17.49 ±0.69

21.66 ±1.81

27.38 ±1.81

35.23 ±6.94

Table 2 Age, body weight, height, and BMI of the students

 

Food Frequency/Week

 

Foods

Under-weight

Normal weight

Over-weight (Means ± SD)

Obese

(Frequency/Week)

(Means ± SD)

(Means ± SD)

(N = 96)

 (Means ± SD)

 

(N=60)

(N = 276)

 

(N = 24)

Vegetables

5.35 ±3.54

5.78 ±3.19

6.53 ±2.66

5.38 ±2.10

Fruits

1.35 ±1.44

2.19 ±1.74

1.85 ±1.74

1.86 ±1.94

Fried Fast-food

2.00 ±2.20

1.86 ±1.18

2.28 ±1.55

1.00 ±0.51

Junk Food

1.40 ±0.87

2.23 ±1.55

1.94 ±1.55

4.13 ±2.58

Fried Foods

0.60 ±0.49  

0.66 ±0.47  

0.69 ±0.47 

0.88 ±0.34 

Grilled Foods

0.60 ±0.92    

0.67 ±0.95  

0.69 ±0.96  

0.25 ±0.68

Steamed Foods

0.60 ±1.21    

0.36 ±0.98   

0.750 ±1.31    

0.38 ±1.01    

Boiled Foods

2.40 ±1.98   

1.78 ±1.99   

1.625 ±1.98    

1.50 ±1.98    

Soup

0.25 ±1.10   

0.33 ±1.24 

0.781 ±1.83   

0.00 ±0.00

Table 3 Some of the Food consumption frequencies among the university students

Energy and macronutrients consumption: The Tables 4,5 shows the daily consumption of energy and the percent contribution of the macronutrients to the total energy consumed. The under-weight students were consuming less energy (14.54%) compared to the other three categories (Table 4) based on the Malaysian RNI (2017). In terms of the percent contribution carbohydrates to the total energy was lower in under-weight and normal weight students. Among the obese students the percent contribution to the total energy was higher from fats (38.32%) consumption and lower from carbohydrates (46.30%) as mentioned in the Table 5.

Variables

Under-weight

Normal weight

Over-weight (Means ± SD)

Obese

 

(Means ± SD)

(Means ± SD)

(N = 96)

 (Means ± SD)

 

(N=60)

(N = 276)

 

(N = 24)

RNI (Kcal)*

1527.00 ±16

1656 ±216

1742 ±194

1671 ±289

Daily Kcal

1305.00 ±24

1663 ±262

1699 ± 363

2048 ±558

Daily Protein (g)*

53.95 ±16.58

68.57s ±16.74

80.60 ±16.64

78.79 ±24.13

Daily CHO (g)*

159.27 ±32.19

188.78 ±49.89

232.21 ±83.04

237.10 ±69.50

Daily Fats (g)*

50.20 ±16.80

70.39 ±17.48

83.11 ±18.13

87.21 ±27.74

Table 4 Consumption of Energy and Macronutrients among the students
*Recommended Nutrient Intakes for Malaysia (RNI, 2017).
https://hq.moh.gov.my/nutrition/wp-content/uploads/2017/05/FA-Buku-RNI.pdf and Malaysian Dietary Guidelines (2020) https://hq.moh.gov.my/nutrition/wp-content/uploads/2021/07/Web%20MDG.pdf

Variables

Under-weight

Normal weight

Over-weight average (%)

Obese

 

average (%)

average (%)

(N = 96)

 average (%)

 

(N=60)

(N = 276)

 

(N = 24)

Kcal Intakes

1305

1663

1699

2048

Daily CHO (g)

637.08 (48.86)

755.12 (48.86)

928.84 (54.67)

948.40 (46.30)

Daily Protein (g)

215.80 (16.54)

274.28 (16.49)

322.40 (18.98)

315.16 (15.39)

Daily Fats (g)

451.80 (34.64)

633.51 (38.09)

747.99 (44.03)

784.89 (38.32)

Table 5 Percent energy contribution of macronutrients to the daily energy intakes

Correlation/Association to BMI: As obvious height is significantly (p<0.001) associated with body weight and BMI. In these students the BMI was significantly (p<0.001, p<0.01) associated/correlated with energy, macronutrients, and the frequency of vegetables intakes whereas the frequency of fast foods was not associated with BMI (due to less frequency) as shown in the Table 6.

Variable

Significance of the correlation with body weight

Correlation coefficient (r)

Probability value

Height

***

0.91

p<0.001

Daily Energy Intakes

***

0.67

p<0.001

Daily CHO Intakes

***

0.471

p<0.001

Daily Protein Intakes

***

0.482

p<0.001

Daily Fats Intakes

***

0.52

p<0.001

Frequency of Vegetables/Week

**

0.147

P<0.01

Frequency of Fruit/Week

NS

0.035

p=0.455

Frequency of Fast Food/Week

NS

-0.006

p=0.895

Table 6 Correlation of Energy, Macronutrients, and Frequency of foods to BMI

Discussion

Students’ food choices and intakes have been a focusing of many research articles in the literature and the present study was also an effort to assess the body weight status of the university students. As mentioned earlier that the prevalence of overweight and obesity was 26.32% and at the same time underweight were 13.16 which is quite alarming. These observations among the university students have been linked to many factors one and one of the factors is bizarre kind of food habits. Some of the articles associated this bizarre kind of eating habit with the availability of food which is due to the conditions/facilities or environment with limited choices and hence lead to unhealthy food habits and lifestyle changes.1,20 Having such scenario leads to the problem of under & overweight and obesity among the university students.2 In the present study the prevalence of over-weight and obesity is higher than the previous study conducted in the various universities in Malaysian and reportedly it was16.3 - 23 percent.21 The prevalence of over-weight and obesity in this study was higher than conducted elsewhere.22–25 As mentioned earlier, in previous studies various factors have been attributed to the weight status of university students including socio-economic, food availability on campus, lifestyle of students, classes, or study routine, timekeeping, cooking ability of students, personal taste, taboo, mental status of students, previous food exposure/habits, knowing food quality, perceived nutritional benefit of food and level of physical activity of students.3,4,5 As mentioned before, it appears that the financial condition of the student is the leading cause of body weight gain/loss however it was not recorded in this study. Previous studies have shown that the students who are well disciplined with good income level are significantly associated with BMI status.6,7 Whereas students from poor families have higher BMI but is related to increased carbohydrates intakes , age, physical activity, anxiety, and smoking condition.8,9 The food adoptions/food choices and behaviors are affected by SEF 10,16 which also affects general performance, and psychological/emotional status11,13 and with deteriorated health status.14 Other factors, such as the residential environment15 and money received16 circle of friends and siblings and available cooked food.17–19,18 When the energy contribution from the macronutrients was analyzed, it appeared that the energy from the fat sources was higher and less from carbohydrates sources compared to the RNI Malaysia (RNI, 2017). Similarly, the consumption from protein sources showed a slight increase compared to the RNI Malaysia. T

These findings shows that the students have imbalanced macronutrient intakes, particularly an increased intakes of fat at the expense of carbohydrates. The observed lower frequency of fruit and vegetables consumption among students is a matter of great concern as well. It has been reported higher intake of fruits and vegetables reduces the risk of death from heart diseases with increase of 4% additional serving per day.26 There are numerous studies which advocate for increased intakes of fruits and vegetable for the prevention of cardiac diseases,27–29 blood pressure30–32  various types of cancers27,26,33–36 diabetes37–39 body weight40 vision41 and intestinal heath.42–44 The observed imbalanced consumption of carbohydrates, proteins, and fats triggers concerns about health of the university students, as it can have repercussions in their later adult life. It is crucial to maintain a balanced diet to ensure the proper functioning of the body and to prevent potential health issues associated with excessive fat intake. To promote healthy eating habits, the students’ knowledge must be enhanced on the balancing of food consumption. This well improve the quality of lives in longer terms of students and adult population in general.

Conclusion

This study shows that students are consuming imbalance food with less healthier choices from fruits and vegetables sources.

Acknowledgments

The authors would like to thankfully acknowledge the students of IIUM who willingly participated in this study.

Conflicts of interest

The author declares that there is no conflicts of interest.

Funding

None.

References

  1. Kabir A, Miah S, Islam A. Factors influencing eating behavior and dietary intake among resident students in a public university in Bangladesh: A qualitative study. PLoS One. 2018;13(6):e0198801.
  2. Gopalakrishnan S, Ganeshkumar P, Prakash MS, et al. Prevalence of overweight / obesity among the medical students Malaysia. Med J Malaysia. 2012;67(4):442–444.
  3. Ke Y, Zhang S, Hao Y, et al. Associations between socioeconomic status and risk of obesity and overweight among Chinese children and adolescents. BMC Public Health. 2023;23(1):401.
  4. Galgamuwa LS, Iddawela D, Dharmaratne SD, et al. Nutritional status and correlated socio-economic factors among preschool and school children in plantation communities, Sri Lanka. BMC Public Health. 2017;17(1):377–387.
  5. Wronka I, Suliga E, Pawlińska CR. Perceived and desired body weight among female university students in relation to BMI-based. Ann Agric Environ Med. 2013;20(3):533–538.
  6. Pavela G, Harman T, Cardel MI, et al. Obesity and Socioeconomic Status. In: Meiselman, H. (Eds) Handbook of eating and drinking. Springer, Cham. 2019.
  7. Low HJ, Tan AKG, Kassim S. Determinants of body weight status of university students: exploratory evidence from university Sains Malaysia.  Malaysian J Nutr. 2015;21(3):285–297.
  8. Pan M, Tu R, Gu J, et al. Associations of socioeconomic status and physical activity with obesity measures in rural chinese adults. Front Public Health. 2021;8:594874.
  9. Tahereh Mokhtari, Rosita Jamaluddin, Hazizi Abu Saad. Lifestyle and psychological factors associated with body weight status among university students in Malaysia. Pakistan Journal of Nutrition. 2015;14(1):18–28.
  10. Długosz A, Niedźwiedzka E, Długosz T, et al. Socio-economic status as an environmental factor - incidence of underweight, overweight and obesity in adolescents from less-urbanized regions of Poland. Ann Agric Environ Med. 2015;2.
  11. Wang J, Geng L. Effects of socioeconomic status on physical and psychological health: lifestyle as a mediator. Int J Environ Res Public Health. 2019;16(2):281.
  12. Nor FS, Noor HMdA, Nor Ermawati Hussain, et al. Data on the impact of socioeconomic status on academic achievement among students in Malaysian public universities. Data in Brief. 2020;(31):106018.
  13. Olagundoye C, Adebile RF. Family size influence of students’ attitude and performance in literature- in- English in public secondary schools. Asian J Interdicip Res. 2019;2(3):121–127.
  14. Anekwe CV, Jarrell AR, Townsend MJ, et al. Socioeconomics of Obesity. Curr Obes Rep. 2020;9(3):272–279.
  15. Ramli A, Zain RM, Zain MZM, et al. Environmental factors and academic performance: the mediating effect of quality of life. in: Alareeni B, Hamdan A, Elgedawy I, editors. The importance of new technologies and entrepreneurship in business development: in the context of economic diversity in developing ountries. Springer; 2021;194.
  16. Sulaiman N, Sin YP. Factors influencing food choice among students in a residential college of a Malaysia public university. Malaysian Journal of Youth Studies. 2011;4:90–111.
  17. Ragelienė T, Gronhoj A. The influence of peers' and siblings' on children's and adolescents' healthy eating behavior. A systematic literature review. Appetite. 2020;148:104592.
  18. Mansor N, Zuraida M, Abdullah Z, et al. Meal selection of Malaysian university students. The Social Science 11. 2016;(Special Issue 7): 7461–7466.
  19. Costa DP, Jomori RN, Maciel MM, et al. Low cooking skills are associated with overweight and obesity in undergraduates. Nutrients. 2023;15(11):2424.
  20. Yun TC, Ahmad SR, Quee DKS. Dietary habits and lifestyle practices among university students in universiti brunei darussalam. The Malaysian journal of medical sciences: MJMS. 2018;25(3):56–66.
  21. Mohamed RCWJ, Salarzadeh JH, Alanzi, ARA, et al. Analysis of obesity among Malaysian University Students: A combination study with the application of bayesian structural equation modelling and pearson correlation. International journal of environmental research and public health. 2019;16(3):492.
  22.  Jiang S, Peng S, Yang T, et al. Overweight and obesity among chinese college students: An exploration of gender as related to external environmental influences. Am J Mens Health. 2018;12(4):926–934.
  23. Du T, Zhu E, Jiao S. Poor physical performance is associated with obesity among university students in China. Med Sci Monit Basic Res. 2017;23:173–178.
  24. Peltzer K, Pengpid S, Samuels T, et al. Prevalence of overweight/obesity and its associated factors among university students from 22 countries. Int J Environ Res Public Health. 2014;11(7):7425–7441.
  25. García HA, Quintero AP, Hernández E, et al. Active commuting to and from university, obesity and metabolic syndrome among Colombian university students. BMC Public Health. 2018;18(1):523.
  26. Wang X, Ouyang Y, Liu J, et al. Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies. BMJ. 2014;349:g4490
  27. Hung HC, Joshipura KJ, Jiang R, et al. Fruit and vegetable intake and risk of major chronic disease. J Natl Cancer Inst. 2004;96(21):1577–1584.
  28. He FJ, Nowson CA, Lucas M, et al. Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies. J hum hypertens. 2007;21(9):717–728.
  29. He FJ, Nowson CA, MacGregor GA. Fruit and vegetable consumption and stroke: meta-analysis of cohort studies. Lancet. 2006 Jan;367(9507):320–326.
  30. Appel LJ, Moore TJ, Obarzanek E, et al. A clinical trial of the effects of dietary patterns on blood pressure. N England J Med. 1997;336(16):1117–1124.
  31. Appel LJ, Sacks FM, Carey VJ, et al. Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart randomized trial. JAMA. 2005;294(19):2455–2464.
  32. Yokoyama Y, Nishimura K, Barnard ND, et al. Vegetarian diets and blood pressure: a meta-analysis. JAMA internal medicine. 2014 ;174(4):577–587.
  33. Farvid MS, Chen WY, Michels KB, et al. Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study. BMJ. 2016;353:i2343.
  34. Farvid MS, Eliassen AH, Cho E, et al. Dietary fiber intake in young adults and breast cancer risk. Pediatrics. 2016;137(3):e20151226.
  35. Farvid MS, Chen WY, Rosner BA, et al. Fruit and vegetable consumption and breast cancer incidence: Repeated measures over 30 years of follow‐up. Int J Cancer. 2019;144(7):1496–1510.
  36. Wiseman M. The second world cancer research fund/american institute for cancer research expert report. Food, nutrition, physical activity, and the prevention of cancer: A global perspective: nutrition society and BAPEN medical symposium on ‘nutrition support in cancer therapy’. Proc Nutr Soc. 2008;67(3):253–256.
  37. Muraki I, Imamura F, Manson JE, et al. Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies. BMJ. 2013;347:f5001.
  38. Bazzano LA, Li TY, Joshipura KJ, et al. Intake of fruit, vegetables, and fruit juices and risk of diabetes in women. Diabetes Care. 2008;31(7):1311–1317.
  39. Mursu J, Virtanen JK, Tuomainen TP, et al. Intake of fruit, berries, and vegetables and risk of type 2 diabetes in finnish men: the kuopio ischaemic heart disease risk factor study. Am J Clin Nutr. 2014;99(2):328–333.
  40. Bertoia ML, Mukamal KJ, Cahill LE, et al. Changes in intake of fruits and vegetables and weight change in United States men and women followed for up to 24 years: analysis from three prospective cohort studies. PLoS medicine. 2015;12(9):e1001878.
  41. Brown L, Rimm EB, Seddon JM, et al. A prospective study of carotenoid intake and risk of cataract extraction in US men. Am J Clin Nutr. 1999;70(4):517–524.
  42. Lembo A, Camilleri M. Chronic constipation. N England J Med. 2003;349(14):1360–1368.
  43. Gazibara T, Kisic TDB, Popovic A, et al. Eating habits and body-weights of students of the university of  belgrade, serbia: a cross-sectional study. J Health Popul Nutr. 2013;31(3):330–333.
  44. Recommended Nutrient Intakes for Malaysia (RNI, 2017). https://hq.moh.gov.my/nutrition/wp-content/uploads/2017/05/FA-Buku-RNI.pdf and Malaysian Dietary Guidelines (MDG, 2020) https://hq.moh.gov.my/nutrition/wp-content/uploads/2021/07/Web%20MDG.pdf
Creative Commons Attribution License

©2023 khattak, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.