Displaying publications 1 - 20 of 29 in total

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  1. Deurenberg-Yap M, Deurenberg P
    Food Nutr Bull, 2002 Sep;23(3 Suppl):34-7.
    PMID: 12362808
    Body fat percent (BF%) was measured in 108 adult Chinese, 76 Malays, and 107 Indians in Singapore by densitometry, deuterium oxide dilution (hydrometry), dual energy x-ray absorptiometry (DXA) and a chemical four-compartment model (BF%4c). The hydration of the fat-free mass (FFM) was calculated. Subjects ranged in age from 18 to 69 years and their body mass index ranged from 16 to 40 kg/m2. BF%4c for the various subgroups were: Chinese females (33.5 +/- 7.5%), Chinese males (24.4 +/- 6.1%), Malay females (37.8 +/- 6.3%), Malay males (26.0 +/- 7.6%), Indian females (38.2 +/- 7.0%) and Indian males (28.1 +/- 5.5%). Biases were found between BF%4c and BF% measured by 2-compartment models (hydrometry, densitometry, DXA), with systematic underestimation by DXA and densitometry. On a group level hydrometry had the lowest bias while DXA gave the highest bias. When validated against BF%4c, 2-compartment models were found to be unsuitable for accurate measures of body fat due to high biases at the individual level and the violation of assumptions of constant hydration of FFM and density FFM among the ethnic groups. On a group level the best 2-compartment model for measuring body fat was found to be hydrometry.
  2. Deurenberg P, Deurenberg-Yap M
    Acta Diabetol, 2003 Oct;40 Suppl 1:S246-9.
    PMID: 14618484
    Most in vivo body composition methods rely on assumptions that may vary among different population groups as well as within the same population group. The assumptions are based on in vitro body composition (carcass) analyses. The majority of body composition studies were performed on Caucasians and much of the information on validity methods and assumptions were available only for this ethnic group. It is assumed that these assumptions are also valid for other ethnic groups. However, if apparent differences across ethnic groups in body composition 'constants' and body composition 'rules' are not taken into account, biased information on body composition will be the result. This in turn may lead to misclassification of obesity or underweight at an individual as well as a population level. There is a need for more cross-ethnic population studies on body composition. Those studies should be carried out carefully, with adequate methodology and standardization for the obtained information to be valuable.
  3. Deurenberg P, Deurenberg-Yap M
    Asia Pac J Clin Nutr, 2002;11(1):1-7.
    PMID: 11890632
    Body fat percentage (BF%) was measured in 298 Singaporean Chinese, Malay and Indian men and women using a chemical four-compartment model consisting of fat, water, protein and mineral (BF%4C). In addition, weight, height, skinfold thickness and segmental impedance (from hand to hand) was measured. Body fat percentage was predicted using prediction equations from the literature (for skinfolds BF%SKFD) and using the manufacturer's software for the hand-held impedance analyser (BF%IMP). The subjects ranged in age from 18-70 years and in body mass index from 16.0 to 40.2 kg/m2. Body fat ranged from 6.5 to 53.3%. The biases for skinfold prediction (BF%4C-BF%SKFD, mean +/- SD) were -0.4+/-3.9, 2.3+/-4.1 and 3.1+/-4.2 in Chinese, Malay and Indian women, respectively, the Chinese being different from the Malays and Indians. The differences were significant from zero (P < 0.05) in the Malays and Indians. For the men, the biases were 0.5+/-3.8, 0.0+/-4.8 and 0.9+/-4.0 in Chinese, Malays and Indians, respectively. These biases were not significantly different from zero and not different among the ethnic groups. The biases for hand-held impedance BF% were -0.7+/-4.5, 1.5+/-4.4 and 0.4+/-3.8 in Chinese, Malay and Indian women. These biases were not significantly different from zero but the bias in the Chinese was significantly different from the biases in the Malays and Indians. In the Chinese, Malay and Indian men, the biases of BF%IMP were 0.7+/-4.6, 1.9+/-4.8 and 2.0+/-4.4, respectively. These biases in Malay and Indian men were significantly different from zero and significantly different from the bias in Chinese men. The biases were correlated with level of body fat and age, and also with relative arm span (arm span/height) for impedance. After correction, the differences in bias among the ethnic groups disappeared. The study shows that the biases in predicted BF% differ between ethnic groups, differences that can be explained by differences in body composition and differences in body build. This information is important and should be taken into account when comparing body composition across ethnic groups using predictive methods.
  4. Deurenberg-Yap M, Schmidt G, van Staveren WA, Deurenberg P
    Int. J. Obes. Relat. Metab. Disord., 2000 Aug;24(8):1011-7.
    PMID: 10951540
    OBJECTIVE: To study the relationship between body fat percentage and body mass index (BMI) in three different ethnic groups in Singapore (Chinese, Malays and Indians) in order to evaluate the validity of the BMI cut-off points for obesity.
    DESIGN: Cross-sectional study.
    SUBJECTS: Two-hundred and ninety-one subjects, purposively selected to ensure adequate representation of range of age and BMI of the general adult population, with almost equal numbers from each ethnic and gender group.
    MEASUREMENTS: Body weight, body height, sitting height, wrist and femoral widths, skinfold thicknesses, total body water by deuterium oxide dilution, densitometry with Bodpod(R) and bone mineral content with Hologic(R) QDR-4500. Body fat percentage was calculated using a four-compartment model.
    RESULTS: Compared with body fat percentage (BF%) obtained using the reference method, BF% for the Singaporean Chinese, Malays and Indians were under-predicted by BMI, sex and age when an equation developed in a Caucasian population was used. The mean prediction error ranged from 2.7% to 5.6% body fat. The BMI/BF% relationship was also different among the three Singaporean groups, with Indians having the highest BF% and Chinese the lowest for the same BMI. These differences could be ascribed to differences in body build. It was also found that for the same amount of body fat as Caucasians who have a body mass index (BMI) of 30 kg/m2 (cut-off for obesity as defined by WHO), the BMI cut-off points for obesity would have to be about 27 kg/m2 for Chinese and Malays and 26 kg/m2 for Indians.
    CONCLUSIONS: The results show that the relationship between BF% and BMI is different between Singaporeans and Caucasians and also among the three ethnic groups in Singapore. If obesity is regarded as an excess of body fat and not as an excess of weight (increased BMI), the cut-off points for obesity in Singapore based on the BMI would need to be lowered. This would have immense public health implications in terms of policy related to obesity prevention and management.
  5. Widodo Y, Sandjaja S, Sumedi E, Khouw I, Deurenberg P
    Asia Pac J Clin Nutr, 2016;25(2):356-67.
    PMID: 27222420 DOI: 10.6133/apjcn.2016.25.2.09
    To study the associations between nutrient intake, dairy intake and socioeconomic variables.
  6. Purttiponthanee S, Rojroongwasinkul N, Wimonpeerapattana W, Thasanasuwan W, Senaprom S, Khouw I, et al.
    Asia Pac J Public Health, 2016 07;28(5 Suppl):85S-93S.
    PMID: 27183975 DOI: 10.1177/1010539516647774
    The study investigated the association between breakfast types consumed, daily energy intake, and body mass index for age Z-score (BAZ). Cross-sectional data from 1258 children aged 7 to 12.9 years were analyzed for breakfast type, nutrient intakes, BAZ, and proportion of overweight or obesity. Analysis of covariance was used to compare energy and nutrient intakes, BAZ, and proportion of overweight/obese children between breakfast groups. Only 19% of children had adequate energy intake from breakfast. Those consuming snacks had a significantly lower BAZ (Z = -0.73), with 5% of them being overweight/obese. Those consuming beverages and desserts had the lowest total daily energy intake (1314 kcal) and lowest protein intake (8.4 g). The results suggest that breakfast type is associated with daily energy intake and BAZ. Most breakfasts are not adequate. School-based nutrition education programs involving families, teachers, and health professionals can contribute to improve this situation.
  7. Nguyen Bao KL, Sandjaja S, Poh BK, Rojroongwasinkul N, Huu CN, Sumedi E, et al.
    Nutrients, 2018 Jun 13;10(6).
    PMID: 29899251 DOI: 10.3390/nu10060759
    Despite a major decrease in undernutrition worldwide over the last 25 years, underweight and stunting in children still persist as public health issues especially in Africa and Asia. Adequate nutrition is one of the key factors for healthy growth and development of children. In this study, the associations between dairy consumption and nutritional status in the South East Asian Nutrition Survey (SEANUTS) were investigated. National representative data of 12,376 children in Indonesia, Malaysia, Thailand, and Vietnam aged between 1 and 12 years were pooled, representing nearly 88 million children in this age category. It was found that the prevalence of stunting and underweight was lower in children who consumed dairy on a daily basis (10.0% and 12.0%, respectively) compared to children who did not use dairy (21.4% and 18.0%, respectively) (p < 0.05). The prevalence of vitamin A deficiency and vitamin D insufficiency was lower in the group of dairy users (3.9% and 39.4%, respectively) compared to non-dairy consumers (7.5% and 53.8%, respectively) (p < 0.05). This study suggests that dairy as part of a daily diet plays an important role in growth and supports a healthy vitamin A and vitamin D status.
  8. Deurenberg-Yap M, Chew SK, Lin VF, Tan BY, van Staveren WA, Deurenberg P
    Int. J. Obes. Relat. Metab. Disord., 2001 Oct;25(10):1554-62.
    PMID: 11673781 DOI: 10.1038/sj.ijo.0801739
    OBJECTIVE: To investigate the effect of body mass index (BMI) and body fat distribution as measured by waist-to-hip ratio (WHR) on the cardiovascular risk factor profile of the three major ethnic groups in Singapore (Chinese, Malay and Indian people) and to determine if WHO recommended cut-off values for BMI and WHR are appropriate for the different sub-populations in Singapore.
    DESIGN: Cross-sectional population study.
    SUBJECTS: A total of 4723 adult subjects (64% Chinese individuals, 21% Malay individuals and 15% Indian individuals) were selected through a multi-staged sampling technique to take part in the National Health Survey in 1998.
    MEASUREMENTS: Data on socio-economic status (education level, occupation, housing type) and lifestyle habits (smoking and physical activity), body weight, body height, waist and hip circumferences and blood pressure measured using standardised protocols. Fasting venous blood samples were obtained for determination of serum total cholesterol (TC), high density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), triglycerides (TG). Venous blood samples were taken for 2 h oral glucose tolerance test (2 h glu).
    RESULTS: Absolute and relative risks for at least one cardiovascular risk factor (elevated TC, elevated TC/HDL ratio, elevated TG, hypertension and diabetes mellitus) were determined for various categories of BMI and WHR. At low categories of BMI (BMI between 22 and 24 kg/m(2)) and WHR (WHR between 0.80 and 0.85 for women, and between 0.90 and 0.95 for men), the absolute risks are high, ranging from 41 to 81%. At these same categories the relative risks are significantly higher compared to the reference category, ranging from odds ratio of 1.97 to 4.38. These categories of BMI and WHR are all below the cut-off values of BMI and WHR recommended by WHO.
    CONCLUSIONS: The results show that, at relatively low BMI and WHR, Singaporean adults experience elevated levels of risks (absolute and relative) for cardiovascular risk factors. These findings, in addition to earlier reported high percentage body fat among Singaporeans at low levels of BMI, confirm the need to revise the WHO cut-off values for the various indices of obesity and fat distribution, viz BMI and WHR, in Singapore.
  9. Sandjaja, Poh BK, Rojroonwasinkul N, Le Nyugen BK, Budiman B, Ng LO, et al.
    Br J Nutr, 2013 Sep;110 Suppl 3:S57-64.
    PMID: 24016767 DOI: 10.1017/S0007114513002079
    Nutrition is an important factor in mental development and, as a consequence, in cognitive performance. Malnutrition is reflected in children's weight, height and BMI curves. The present cross-sectional study aimed to evaluate the association between anthropometric indices and cognitive performance in 6746 school-aged children (aged 6-12 years) of four Southeast Asian countries: Indonesia; Malaysia; Thailand; Vietnam. Cognitive performance (non-verbal intelligence quotient (IQ)) was measured using Raven's Progressive Matrices test or Test of Non-Verbal Intelligence, third edition (TONI-3). Height-for-age z-scores (HAZ), weight-for-age z-scores (WAZ) and BMI-for-age z-scores (BAZ) were used as anthropometric nutritional status indices. Data were weighted using age, sex and urban/rural weight factors to resemble the total primary school-aged population per country. Overall, 21% of the children in the four countries were underweight and 19% were stunted. Children with low WAZ were 3·5 times more likely to have a non-verbal IQ < 89 (OR 3·53 and 95% CI 3·52, 3·54). The chance of having a non-verbal IQ < 89 was also doubled with low BAZ and HAZ. In contrast, except for severe obesity, the relationship between high BAZ and IQ was less clear and differed per country. The odds of having non-verbal IQ levels < 89 also increased with severe obesity. In conclusion, undernourishment and non-verbal IQ are significantly associated in 6-12-year-old children. Effective strategies to improve nutrition in preschoolers and school-aged children can have a pronounced effect on cognition and, in the longer term, help in positively contributing to individual and national development.
  10. Chong KH, Poh BK, Jamil NA, Kamaruddin NA, Deurenberg P
    Biomed Res Int, 2015;2015:232876.
    PMID: 25922831 DOI: 10.1155/2015/232876
    Aim. To validate a radial quantitative ultrasound (QUS) system with dual energy X-ray absorptiometry (DXA), a criterion technique in bone status assessment among children. Methods. Bone health was evaluated using a radial QUS system (Sunlight Omnisense 8000P) to measure the speed of sound (SOS) at one-third distal radius of the nondominant hand and DXA (Hologic QDR) was used to assess whole body bone mineral density (BMD). Results. Some 29.9% of the children were grossly misclassified according to quartiles of BMD and radial SOS. Poor agreement was observed between Z-scores of radial SOS and whole-body BMD (mean difference = 0.6 ± 0.9; 95% limits of agreement = -1.4 to 2.6). With a cut-off value of -1.0, radial SOS yielded satisfactory sensitivity (80%) and specificity (93%) for the detection of children with low BMD. Conclusion. The observed poor agreement in the present study suggests that radial QUS and DXA are not comparable and hence are not interchangeable in evaluating bone status of the children.
  11. Lee ST, Wong JE, Ong WW, Ismail MN, Deurenberg P, Poh BK
    Asia Pac J Public Health, 2016 07;28(5 Suppl):21S-34S.
    PMID: 27026634 DOI: 10.1177/1010539516638155
    Children's physical activity has been correlated with child characteristics and social or physical environment. This study aimed to compare preschoolers' physical activity among various sociodemographic characteristics and to determine barriers, motivators, and environmental factors for active play. A total of 835 preschoolers were included in this analysis. Time spent on active play, quiet play, and screen time was reported by parents. Boys spent significantly more time on active play and screen time than girls. Time spent on quiet play was highest in East Coast Peninsular Malaysia and lowest in Sarawak. Some 40% of children achieved active play recommendation while 27% exceeded daily screen time recommendation. Most parents reported that their child played actively in the house area; and that the main barrier and motivator to active play were safety and child's enjoyment, respectively. These findings demonstrate that sociodemographic characteristics and environment should be considered in designing physical activity intervention programs.
    MESH: screen time
  12. Wong JE, Parikh P, Poh BK, Deurenberg P, SEANUTS Malaysia Study Group
    Asia Pac J Public Health, 2016 Jul;28(5 Suppl):35S-46S.
    PMID: 27257293 DOI: 10.1177/1010539516650726
    This study describes the physical activity of primary school children according to sociodemographic characteristics and activity domains. Using the Malaysian South East Asian Nutrition Surveys data, 1702 children aged 7 to 12 years were included in the analysis. Physical activity was reported as a total score and categorized into low, medium, and high levels based on Physical Activity Questionnaire for Older Children. Higher overall activity scores were found in boys, younger age, non-Chinese ethnicity, and normal body mass index category. Sex, age, and ethnicity differences were found in structured or organized, physical education, and outside-of-school domain scores. Transport-related scores differed by age group, ethnicity, household income, and residential areas but not among the three physical activity levels. Participation of girls, Chinese, and older children were low in overall and almost all activity domains. Sociodemographic characteristics are important factors to consider in increasing the different domains of physical activity among Malaysian children.
  13. Bao Khanh le N, Burgers MR, Huu Chinh N, Tuoc BV, Dinh Dung N, Deurenberg P, et al.
    Food Nutr Bull, 2016 Mar;37(1):100-11.
    PMID: 27004970 DOI: 10.1177/0379572116631642
    The traditional Vietnamese diet carries the risk of micronutrient deficiencies, and a substantial part of children <11 years do not meet the Vietnamese recommended dietary allowance (RDA) for a range of nutrients. Dairy products are known for their high nutrient density and milk in particular for its provision of high-quality protein and relevant concentrations of calcium, magnesium, vitamin B2, vitamin B12, and pantothenic acid.
  14. Rojroongwasinkul N, Bao Kle N, Sandjaja S, Poh BK, Boonpraderm A, Huu CN, et al.
    Public Health Nutr, 2016 Jul;19(10):1741-50.
    PMID: 26592313 DOI: 10.1017/S1368980015003316
    OBJECTIVE: Health and nutritional information for many countries in the South-East Asian region is either lacking or no longer up to date. The present study aimed to calculate length/height percentile values for the South-East Asian Nutrition Survey (SEANUTS) populations aged 0·5-12 years, examine the appropriateness of pooling SEANUTS data for calculating common length/height percentile values for all SEANUTS countries and whether these values differ from the WHO growth references.

    DESIGN: Data on length/height-for-age percentile values were collected. The LMS method was used for calculating smoothened percentile values. Standardized site effects (SSE) were used for identifying large or unacceptable differences (i.e. $\mid\! \rm SSE \!\mid$ >0·5) between the pooled SEANUTS sample (including all countries) and the remaining pooled SEANUTS samples (including three countries) after weighting sample sizes and excluding one single country each time, as well as with WHO growth references.

    SETTING: Malaysia, Thailand, Vietnam and Indonesia.

    SUBJECTS: Data from 14202 eligible children were used.

    RESULTS: From pair-wise comparisons of percentile values between the pooled SEANUTS sample and the remaining pooled SEANUTS samples, the vast majority of differences were acceptable (i.e. $\mid\! \rm SSE \!\mid$ ≤0·5). In contrast, pair-wise comparisons of percentile values between the pooled SEANUTS sample and WHO revealed large differences.

    CONCLUSIONS: The current study calculated length/height percentile values for South East Asian children aged 0·5-12 years and supported the appropriateness of using pooled SEANUTS length/height percentile values for assessing children's growth instead of country-specific ones. Pooled SEANUTS percentile values were found to differ from the WHO growth references and therefore this should be kept in mind when using WHO growth curves to assess length/height in these populations.

  15. Deurenberg-Yap M, Deurenberg P
    Nutr Rev, 2003 May;61(5 Pt 2):S80-7.
    PMID: 12828197
    This paper describes body composition and dietary intakes of the three major ethnic groups residing in Singapore and how these are related to cardiovascular risk factors in these groups. When the relationship between body mass index (BMI, kg/m2) and body fat percentage was studied, Singaporeans were found to have higher percentage of body fat compared with Caucasians with the same BMI. At BMIs that are much lower than WHO-recommended cut-off values for obesity, both the absolute and relative risks of developing cardiovascular risk factors are markedly elevated for all three ethnic groups. The excessive fat accumulation and increased risks at lower BMIs signal a need to re-examine cut-off values for obesity among Chinese, Malays, and Indians.
  16. Firmansyah A, Chongviriyaphan N, Dillon DH, Khan NC, Morita T, Tontisirin K, et al.
    Asia Pac J Clin Nutr, 2016 Dec;25(4):652-675.
    PMID: 27702710 DOI: 10.6133/apjcn.092016.02
    Inulin-based prebiotics are non-digestible polysaccharides that influence the composition of the gut microbiota in infants and children, notably eliciting a bifidogenic effect with high short chain fatty acid levels. Inulin, a generic term that comprises β-(2,1)-linked linear fructans, is typically isolated from the chicory plant root, and derivatives such as oligofructose and long chain inulin appear to have different physiological properties. The first 1000 days of a child's life are increasingly recognized as a critical timeframe for health also into adulthood, whereby nutrition plays a key role. There is an ever increasing association between nutrition and gut microbiota composition and development, with life health status of an individual. This review summarizes the latest knowledge in the infant gut microbiota from preterms to healthy newborns, as well as in malnourished children in developing countries. The impact of inulin or mixtures thereof on infants, toddlers and young children with respect to intestinal function and immunity in general, is reviewed. Possible benefits of prebiotics to support the gut microbiome of malnourished infants and children, especially those with infections in the developing world, are considered, as well as for the pregnant mothers health. Importantly, novel insights in metabolic programming are covered, which are being increasing recognized for remarkable impact on long term offspring health, and eventual potential beneficial role of prebiotic inulins. Overall increasing findings prompt the potential for gut microbiota-based therapy to support health or prevent the development of certain diseases from conception to adulthood where inulin prebiotics may play a role.
  17. Poh BK, Wong JE, Norimah AK, Deurenberg P
    Food Nutr Bull, 2016 Mar;37(1):3-13.
    PMID: 26769039 DOI: 10.1177/0379572115626025
    The prevalence of stunting, thinness, overweight, and obesity among children differs by ethnicity. It is not known whether differences in body build across the ethnic groups influence the interpretation of nutritional parameters.
  18. Schaafsma A, Deurenberg P, Calame W, van den Heuvel EG, van Beusekom C, Hautvast J, et al.
    Br J Nutr, 2013 Sep;110 Suppl 3:S2-10.
    PMID: 24016763 DOI: 10.1017/S0007114513002067
    Nutrition is a well-known factor in the growth, health and development of children. It is also acknowledged that worldwide many people have dietary imbalances resulting in over- or undernutrition. In 2009, the multinational food company FrieslandCampina initiated the South East Asian Nutrition Survey (SEANUTS), a combination of surveys carried out in Indonesia, Malaysia, Thailand and Vietnam, to get a better insight into these imbalances. The present study describes the general study design and methodology, as well as some problems and pitfalls encountered. In each of these countries, participants in the age range of 0·5-12 years were recruited according to a multistage cluster randomised or stratified random sampling methodology. Field teams took care of recruitment and data collection. For the health status of children, growth and body composition, physical activity, bone density, and development and cognition were measured. For nutrition, food intake and food habits were assessed by questionnaires, whereas in subpopulations blood and urine samples were collected to measure the biochemical status parameters of Fe, vitamins A and D, and DHA. In Thailand, the researchers additionally studied the lipid profile in blood, whereas in Indonesia iodine excretion in urine was analysed. Biochemical data were analysed in certified laboratories. Study protocols and methodology were aligned where practically possible. In December 2011, data collection was finalised. In total, 16,744 children participated in the present study. Information that will be very relevant for formulating nutritional health policies, as well as for designing innovative food and nutrition research and development programmes, has become available.
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