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ABSTRACT Overweight and obesity are considered a serious health problem in Thailand. This study examined the prevalence of overweight and obesity in a nationally representative sample of Thai children and adults based on international standards. A cross-sectional population survey of 16,596 Thais aged 3 years and over was conducted. Heights and weights were obtained using standardized methods. Estimates of the overweight and obesity prevalence in children, adolescents, and adults were computed. The prevalence of overweight and obesity among children and adolescents aged 3 to 18 years was 7.6% and 9.0%, respectively, and was higher among boys than girls. Among adults, using the the Regional Office for the Western Pacific (WPRO) standard, 17.1% of adults were classified as overweight [body mass index (BMI) 23.0–24.9 kg/m2], 19.0% as class I obesity (BMI 25.0-29.9 kg/m2), and 4.8% as class II obesity (BMI≥30.0 kg/m 2 ). Using the World Health Organization (WHO) definition, 19.0% were overweight (BMI 25–29.9 kg/m 2 ), 4.0% class I obesity (BMI 30.0–34.9 kg/m 2 ), 0.8% class II obesity (BMI 35.0–39.9 kg/m 2 ), and 0.1% class III obesity (BMI≥40.0 kg/m 2 ). There was a vast difference in obesity prevalence between the WHO and the WPRO criteria. Obesity prevalence when using the WPRO definition (23.8%) was almost five times greater than when defined with the WHO standard (4.9%). The present study found a high prevalence of overweight and obesity in nationally representative sample of the Thai population. Higher rates of overweight and obesity prevalence were computed using the WPRO standard when compared to the WHO standard.

Introduction: Micronutrient deficiencies during childhood can contribute to impairments in growth, immune competence, and mental and physical development, and the coexistence of several such deficiencies can adversely affect the efficacy of single micronutrient interventions. Objective: To assess the prevalence of zinc and iodine deficiency and their interrelationships with vitamin A deficiency and anemia and associations with socio-economic status, hemoglobin type, and anthropometry in a cross-sectional study. Setting: A total of 10 primary schools in North East Thailand. Methods: Non-fasting venipuncture blood samples and casual urine samples were collected from 567 children aged 6-13 years. Anthropometric measures and serum zinc, albumin, C-reactive protein and urinary iodine, are reported here and integrated with published data on vitamin A, anemia, and socio-economic status. Results: Of the children, 57% had low serum zinc and 83% had urinary iodine levels below the 100 micrograms/l cutoff. Suboptimal serum zinc and urinary iodine concentrations may result from low intakes of zinc and iodized salt. Significant risk factors for low serum zinc were serum retinol <1.05 micromol/l and being male. Those for urinary iodine <100 micrograms/l were height-for-age score>median and being female. For serum retinol <1.05 micromol/l, risk factors were low hemoglobin, low serum zinc, and <9 years, and for low hemoglobin indicative of anemia risk factors were <9 years, AE hemoglobinopathy, and serum retinol <1.05 micromol/l. Of the children, 60% were at risk of two or more coexisting micronutrient deficiencies, most commonly suboptimal urinary iodine and low serum zinc. Conclusion: The findings emphasize the need for multimicronutrient interventions in North East Thailand.

In the present study, we investigated nutritional status and health-related factors in a multistage cluster sample of 3119 Thai urban and rural children aged 0·5–12·9 years. In a subsample, blood samples were collected for the measurement of Hb, transferrin receptor, vitamin A and vitamin D concentrations. The prevalence of stunting and underweight was higher in rural children than in urban children, whereas the wasting rate was similar in both rural and urban areas. Among children aged 3·0–5·9 years, the prevalence of overweight was significantly higher in urban areas than in rural areas and so was the obesity rate in children aged 6·0–12·9 years. Protein intakes of all age groups were relatively high in both the areas. Intakes of Ca, Fe, Zn and vitamin C were significantly higher in urban areas than in rural areas. The prevalence of anaemia in rural areas was twice as high as that in urban areas, particularly in infants and young children. However, the prevalence of Fe-deficiency anaemia was similar in both urban and rural areas. While the prevalence of vitamin A deficiency (by serum retinol cut-off < 0·7 μmol/l) seemed to be very low, vitamin A insufficiency (by serum retinol cut-off < 1·05 μmol/l) was more prevalent (29·4–31·7 %) in both the areas. The prevalence of vitamin D insufficiency ranged between 27·7 and 45·6 % among the children. The present study indicates that the double burden of malnutrition is still a major public health problem in Thailand. Further studies need to explore the associated risk factors for these nutrient deficiencies. Effective strategies and actions are needed to tackle the nutritional problems in Thai children.

Background/Aims: Fermented fish is commonly used as seasoning sauce in northeastern Thai and Laos to provide salty taste in foods. Nowadays, it is used as a basic ingredient for preparing various seasoning sauces for many types of local dish. This study aimed to observe the effect of using sodium-reduced fermented fish (SRFF) in traditional papaya salad on reduction of sodium intake among consumers. Methods: Fermented fish, produced from fresh water fish with either normal salt (FF) or 60% sodium-reduced salt (SRFF), was used for production of seasoning sauce for papaya salad by local sauce producers. The sauce made from FF or SRFF was then used by local street food vendors as the main ingredient for preparing their papaya salads. Sodium content in FF, SRFF, sauce, and papaya salad were analyzed using Atomic Absorption Spectrometer. The significant differences between sodium contents in sauces and papaya salads were evaluated by using t-test. Results: The sample with SRFF contained sodium at 52% less than the one with FF, while sodium in the sauce from SRFF was 40% less than the one from FF. The sample of papaya salad prepared from SRFF sauce contained 493 + 26 mg/100 g sodium per 100 g, which was 33% lower than the one prepared from FF sauce. Conclusions: The use of SRFF could significantly reduce sodium contained in traditional papaya salad by up to one-third. This might be beneficial to lower the risk of hypertension with minimum change on the eating behavior of the northeastern Thais and Laotians.

The 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. Body 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. Malaysia, Thailand, Vietnam and Indonesia. Data from 14 202 eligible children. The 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. The 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.

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. 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. Malaysia, Thailand, Vietnam and Indonesia. Data from 14202 eligible children were used. 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. 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.

We evaluated the associations between overweight and obesity and socio-economic status (SES), behavioral factors, and dietary intake in Thai adults. A nationally representative sample of 6,445 Thais adults (18–70 years) was surveyed during 2004–2005. Information including demographics, SES characteristics, dietary intake, and anthropometrics were obtained. Overall, 35.0% of men, and 44.9% of women were overweight or obese (BMI ≥ 23 kg/m2) using the Asian cut-points. Regression models demonstrated that age was positively associated with being overweight in both genders. In gender-stratified analyses, male respondents who were older, lived in urban areas, had higher annual household income, and did not smoke were more likely to be classified as overweight and obese. Women who were older, had higher education, were not in a marriage-like relationship and were in semi-professional occupation were at greater risk for being overweight and obese. High carbohydrate and protein intake were found to be positively associated with BMI whereas the frequent use of dairy foods was found to be negatively associated with BMI among men. The present study found that SES factors are associated with being classified as overweight and obese in Thai adults, but associations were different between genders. Health promotion strategies regarding obesity and its related co-morbidity are necessary.

This study examined the relationship between dietary intake, body weight, and body mass index (BMI) in adult Thais as a function of smoking status. A cross-sectional, nationally representative survey using health and dietary questionnaires and anthropometric measurements were used. Participants were 7858 Thai adults aged 18 years and older recruited from 17 provinces in Thailand. Results demonstrated that smoking is associated with lower weights and BMI. However, when smokers were stratified by smoking intensity, there was no dose–response relationship between smoking and body weight. There is no conclusive explanation for weight differences across smoking groups in this sample, and the results of the present study did not clearly support any of the purported mechanisms for the differences in body weight or BMI. In addition, because the substantial negative health consequences of smoking are far stronger than those associated with modest weight differences, smoking cannot be viewed as an appropriate weight management strategy.

This study used structural equation modeling (SEM) to examine associations between environmental factors and indicators of adiposity. We analyzed data from a cross-sectional Southeast Asian Nutritional Survey of 1,161 Thai children aged 7.0-12.9 years who were recruited by multi-stage sampling. Standardized questionnaires provided data on socio-economic, health status, and physical activity, while a 24-hour dietary recall provided dietary intake data. SEM analysis show that socio-economic, health status, physical activity, and nutrient intake were not associated directly with adiposity, but their relationship with adiposity was via the environment. This analysis confirms many relationships between possible causal factors and adiposity, and it enables insight into the complex mechanisms leading to higher body fat. As such, it could serve as a working model to combat the increasing prevalence of obesity (excess body fat) affecting many countries.