scholarly journals Body weight and BMI percentiles for children in the South-East Asian Nutrition Surveys (SEANUTS)

2018 ◽  
Vol 21 (16) ◽  
pp. 2972-2981
Author(s):  
Sandjaja Sandjaja ◽  
Bee Koon Poh ◽  
Nipa Rojroongwasinkul ◽  
Khanh Le Nguyen Bao ◽  
Moesijanti Soekatri ◽  
...  

AbstractObjectiveThe present study aimed to (i) calculate body-weight- and BMI-for-age percentile values for children aged 0·5–12 years participating in the South-East Asian Nutrition Survey (SEANUTS); (ii) investigate whether the pooled (i.e. including all countries) SEANUTS weight- and BMI-for-age percentile values can be used for all SEANUTS countries instead of country-specific ones; and (iii) examine whether the pooled SEANUTS percentile values differ from the WHO growth references.DesignBody weight and length/height were measured. The LMS method was used for calculating smoothened body-weight- and BMI-for-age percentile values. The standardized site effect (SSE) values were used for identifying large differences (i.e. $\left| {{\rm SSE}} \right|$ >0·5) between the pooled SEANUTS sample and the remaining pooled SEANUTS samples after excluding one single country each time, as well as with WHO growth references.SettingMalaysia, Thailand, Vietnam and Indonesia.SubjectsData from 14 202 eligible children.ResultsThe SSE derived from the comparisons of the percentile values between the pooled and the remaining pooled SEANUTS samples were indicative of small/acceptable (i.e. $\left| {{\rm SSE}} \right|$ ≤0·5) differences. In contrast, the comparisons of the pooled SEANUTS sample with WHO revealed large differences in certain percentiles.ConclusionsThe findings of the present study support the use of percentile values derived from the pooled SEANUTS sample for evaluating the weight status of children in each SEANUTS country. Nevertheless, large differences were observed in certain percentiles values when SEANUTS and WHO reference values were compared.

2015 ◽  
Vol 19 (10) ◽  
pp. 1741-1750 ◽  
Author(s):  
Nipa Rojroongwasinkul ◽  
Khanh Le Nguyen Bao ◽  
Sandjaja Sandjaja ◽  
Bee Koon Poh ◽  
Atitada Boonpraderm ◽  
...  

AbstractObjectiveHealth 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.DesignData 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.SettingMalaysia, Thailand, Vietnam and Indonesia.SubjectsData from 14202 eligible children were used.ResultsFrom 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.ConclusionsThe 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.


Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2811
Author(s):  
Qiumin Huang ◽  
Liusen Wang ◽  
Hongru Jiang ◽  
Huijun Wang ◽  
Bing Zhang ◽  
...  

Few studies have focused on quantifying the double burden of malnutrition (DBM) phenomenon in China. We aimed to clarify the prevalence of DBM among Chinese adults as well as to examine whether usual daily dietary micronutrient status varies by body mass index (BMI) categories. In this study, a sample of 6602 adults aged 18–59 years from the China Health and Nutrition Survey (CHNS) was analyzed. Information was obtained on dietary intake and anthropometric measurements. Dietary intakes of 11 micronutrients were estimated based on the data collected by three consecutive days of 24 h recalls combined with the weighing of household seasonings. Dietary micronutrient deficiency was defined according to the cutoff of the Chinese estimated average requirement (EARs). 44% of Chinese adults faced the problem of DBM, of which nearly 40% experienced overweight/obesity and micronutrient deficiency simultaneously. Comparable percentages (>50%) of Chinese adults had dietary intake less than the Chinese EARs for key micronutrients including retinol, thiamin, riboflavin, vitamin C, calcium, selenium, zinc, and magnesium, and the percentages varied by body weight status. More than 80% participants had at least two selected vitamin or mineral deficiencies in all BMI categories. These findings indicate that Chinese adults have a high DBM and micronutrient inadequacies prevail among and within gender and all BMI categories. All body weight groups need advice on the changing needs for dietary variety to ensure optimal health.


2020 ◽  
Vol 2 (4(73)) ◽  
pp. 10-17
Author(s):  
M Munkhzaya ◽  
N Khuderchuluun ◽  
O Chimedsuren ◽  
L Undram

Background: In Mongolia, children’s growth monitored by WHO and CDC growth charts. The purpose of the study was to compare the growth of UB school children with the WHO and CDC growth reference curves. Methods: 8046 pupils aged 6-17 years old participated in the study. The subjects were sampled 4044 boys and 4002 girls. Height and weight were measured with Physician Beam Scale. Growth references were generated by the LMS method. The centiles were compared to the WHO and CDC. The 3rd, 50th and 97th centiles were plotted along with the corresponding values of WHO and CDC. Results: In Mongolian children the overall height was below compared to both WHO and CDC references, with the highest differences at 12-17 years, 14-17 years and 13-17 years of age at P3, P50 and P97 respectively. Body weight in girls of UB city was slightly heavier compared to the WHO and CDC counterparts on the 3rd and 50th centiles, but on the 97th centile the WHO and CDC counterparts became significantly heavier than Mongolian girls, especially at the 12-17 years of age. Body weight in boys of UB city was lighter than the WHO and CDC references at 12-17 years old age. In Mongolian children BMI was greater on the 3rd centile. But on the 50th centile the BMI of Mongolian boys became smaller at 14-17 years old compared to WHO and CDC references Conclusion: The height, weight and BMI values of developed growth curves for Mongolian school children differ compared to the WHO and CDC growth references, especially for schoolchildren aged 12 years and upwards.


2013 ◽  
Vol 110 (S3) ◽  
pp. S2-S10 ◽  
Author(s):  
Anne Schaafsma ◽  
Paul Deurenberg ◽  
Wim Calame ◽  
Ellen G. H. M. van den Heuvel ◽  
Christien van Beusekom ◽  
...  

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.


Obesity ◽  
2012 ◽  
Vol 21 (4) ◽  
pp. 786-794 ◽  
Author(s):  
Carlye Burd ◽  
Araliya Senerat ◽  
Earle Chambers ◽  
Kathleen L. Keller

Author(s):  
Aysel Vehapoglu ◽  
Zeynep Ebru Cakın ◽  
Feyza Ustabas Kahraman ◽  
Mustafa Atilla Nursoy ◽  
Ali Toprak

Abstract Objectives It is unclear whether body weight status (underweight/normal weight/overweight/obese) is associated with allergic disease. Our objective was to investigate the relationship between body weight status (body mass index; BMI) and atopic allergic disease in prepubertal children, and to compare children with atopic allergic diseases with non atopic healthy children. Methods A prospective cross sectional study of 707 prepubertal children aged 3–10 years was performed; the participants were 278 atopic children with physician-diagnosed allergic disease (allergic rhinitis and asthma) (serum total IgE level >100 kU/l and eosinophilia >4%, or positivity to at least one allergen in skin test) and 429 non atopic healthy age- and sex-matched controls. Data were collected between December 2019 and November 2020 at the Pediatric General and Pediatric Allergy Outpatient Clinics of Bezmialem Vakıf University Hospital. Results Underweight was observed in 11.6% of all participants (10.8% of atopic children, 12.2% of healthy controls), and obesity in 14.9% of all participants (18.0% of atopic children, 12.8% of controls). Obese (OR 1.71; 95% CI: 1.08–2.71, p=0.021), and overweight status (OR 1.62; 95% CI: 1.06–2.50, p=0.026) were associated with an increased risk of atopic allergic disease compared to normal weight in pre-pubertal children. This association did not differ by gender. There was no relationship between underweight status and atopic allergic disease (OR 1.03; 95% CI: 0.63–1.68, p=0.894). Conclusions Overweight and obesity were associated with an increased risk of atopic allergic disease compared to normal weight among middle-income and high-income pre pubertal children living in Istanbul.


Children ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 397
Author(s):  
Xu Tian ◽  
Hui Wang

The growth status and weight status of Chinese children have experienced remarkable changes in the past decades. Using China Health and Nutrition Survey (CHNS) data, this paper examines the secular trends and disparity of the growth status and weight status in Chinese children and further investigates the impact of various family environments on children’s growth from 1991 to 2011. We found an increasing trend in standardized growth indicators (height, weight, and BMI), overweight, and obesity from 1991 to 2011. We also observed an increasing disparity in overweight and obesity over time. Family environments had a significant impact on children’s growth status and weight status. In particular, children that live in families with a small size, higher family income, better sanitary conditions, and with well-educated parents or overweight parents tended to be taller and heavier and have a higher BMI, lower risk of being underweight, and higher risk of exhibiting overweight and obesity. Further decomposition analysis showed that more than 70% of the disparity in standardized height, weight, and overweight and around 50% of the disparity in standardized BMI, underweight, and obesity could be attributed to heterogeneity in family environments. Moreover, the disparity associated with family environments tended to increase over time.


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