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  1. Mognard E, Sanubari TPE, Alem Y, Yuen JL, Ragavan NA, Ismail MN, et al.
    Nutrients, 2023 May 05;15(9).
    PMID: 37432390 DOI: 10.3390/nu15092197
    Breakfast is often referred to as the "most important meal of the day" in shaping diet quality. This study established the patterns of breakfast consumption in Malaysia and assessed its contribution to the overall quality of the diet based on the 24 h recall data from the nationally representative and cross-sectional Malaysian Food Barometer (MFB, second data collection, 2018) to assess breakfast intake among adults (n = 1604). Diet quality was measured using the Nutrient Rich Food index (NRF) 9.3. The nutritional profile of breakfast was compared across tertiles of NRF 9.3. Overall, 89% of Malaysians consume breakfast. Breakfast was found to provide 474 kcal on average. The Malaysian daily diet was found to be rich in fats, saturated fats, total sugars, and sodium, with breakfast making a significant contribution to the daily intakes of these nutrients. Intakes of fiber, potassium, calcium, vitamins C and D, folate, iron, zinc, and magnesium were low. Breakfast was related to the overall diet quality measured by the NRF index. This study revealed that the breakfasts consumed by Malaysian adults were found to be nutritionally unbalanced. This analysis could serve as a basis for nutrient recommendations grounded in existing social and cultural breakfast patterns.
  2. Drewnowski A, Monsivais P, Mognard E, Ismail Noor M, Karim N, Laporte C, et al.
    Asia Pac J Public Health, 2024 Jan;36(1):36-42.
    PMID: 38186372 DOI: 10.1177/10105395231219049
    The diversity of protein food sources, animal and plant, may be a proxy measure of protein quality and adequate protein nutrition. A population-based sample of 1604 Malaysians aged ≥18 y completed one 24-h dietary recall and a new 29-item protein diversity indicator (PDI). Socio-demographic data were obtained by self-report. Mean total protein intakes were 75.2 g/d from 24-h recalls and 74.9 g/d from PDI. Protein diversity indicator-estimated protein intakes were 36.2% from meat and poultry, 8.8% from fish, 16.0% from eggs and dairy, and 39.0% from plants. Intakes of animal proteins varied with socioeconomic status and ethnicity and were associated with higher protein quality, defined as the adequacy of essential amino acids (EAAs) relative to protein requirements. Protein intakes and protein quality in Malaysia were generally adequate. Protein diversity indicator metrics can complement current methods of dietary assessment and may be useful for monitoring protein diversity and quality in other countries currently undergoing nutrition transition.
  3. Drewnowski A, Mognard E, Gupta S, Ismail MN, Karim NA, Tibère L, et al.
    Nutrients, 2020 May 25;12(5).
    PMID: 32466102 DOI: 10.3390/nu12051530
    Countries in South East Asia are undergoing a nutrition transition, which typically involves a dietary shift from plant to animal proteins. To explore the main drivers of protein consumption, the SCRiPT (Socio Cultural Research in Protein Transition) study recruited a population sample in Malaysia (N = 1604). Participants completed in-person 24 h dietary recalls and socio-demographic surveys. Energy and nutrient intakes were estimated using Nutritionist Pro. A novel recipe-based frequency count coded protein sources as meat (chicken, beef, pork, and mutton), fish, eggs, dairy, and plants (cereals, pulses, tubers). Dietary intakes and frequencies were examined by gender, age, income, education, ethnicity, religion, and family status, using ANOVAs and general linear models. Energy intakes were 1869 kcal/d for men and 1699 kcal/d for women. Protein intakes were 78.5 g/d for men and 72.5 g/d for women. Higher energy and protein intakes were associated with Chinese ethnicity, higher education and incomes. Frequency counts identified plant proteins in 50% of foods, followed by meat (19%), fish (12%), eggs (12%), and dairy (7%). Most frequent source of meat was chicken (16%) rather than pork or beef (1.5% each). In bivariate analyses, animal protein counts were associated with younger age, higher education and incomes. In mutually adjusted multivariate regression models, animal proteins were associated with education and ethnicity; plant proteins were associated with ethnicity and religion. Protein choices in Malaysia involve socio-cultural as well as economic variables.
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