Juara Sihat: assessing the sustained impact of a school-based obesity intervention

Introduction: Obesity and physical inactivity among schoolchildren are among the most challenging health problems inMalaysia. The present study aimed to evaluate the sustainedimpact of Juara Sihat programme on physical activity leveland anthropometric status at 18-month post-intervention.Method: Participants of Juara Sihat (n=55) were followed-upat 18 months after completion of the intervention. JuaraSihat intervention was implemented over 12 weeks andfocused on four key components: (i) five one-hour nutritioneducation classes, (ii) four one-hour physical activityeducation sessions, (iii) family involvement, and (iv)empowerment of Parents and Teachers Association.Anthropometric variables (body mass index, body fatpercentage and waist circumference) were measured andphysical activity level was evaluated by using PhysicalActivity Questionnaire for Children (PAQ-C) at baseline (P0),immediately upon completion of intervention (P1), atthree-month post-intervention (P2), and at 18-month postintervention(P3). Analyses of repeated measures analysisof covariance (ANCOVA) with intention-to-treat principlewere applied.Results: Sustained effects were found in BMI-for-age z-scorewhich showed a reduction (P0 2.41±0.84 vs P3 2.27±0.81)and physical activity level which showed positiveimprovements (P0 2.46±0.62 vs P3 2.87±0.76) at 18 monthsafter intervention was completed. Body fat and waistcircumference had increased over the same time period.Conclusion: Overall, this study successfully demonstratedsustained intervention effects of Juara Sihat intervention onBMI-for-age z-score and physical activity, but not on body fatpercentage and waist circumfere

Development and validation of a food frequency questionnaire for dietary intake assessment among multi-ethnic primary school-aged children

<p><b>INTRODUCTION</b>This study aimed to develop and validate a food frequency questionnaire (FFQ) to assess habitual diets of multi-ethnic Malaysian children aged 7-12 years.</p><p><b>METHODS</b>A total of 236 primary school children participated in the development of the FFQ and 209 subjects participated in the validation study, with a subsample of 30 subjects participating in the reproducibility study. The FFQ, consisting of 94 food items from 12 food groups, was compared with a three-day dietary record (3DR) as the reference method. The reproducibility of the FFQ was assessed through repeat administration (FFQ2), seven days after the first administration (FFQ1).</p><p><b>RESULTS</b>The results of the validation study demonstrated good acceptance of the FFQ. Mean intake of macronutrients in FFQ1 and 3DR correlated well, although the FFQ intake data tended to be higher. Cross-classification of nutrient intake between the two methods showed that < 7% of subjects were grossly misclassified. Moderate correlations noted between the two methods ranged from r = 0.310 (p < 0.001) for fat to r = 0.497 (p < 0.001) for energy. The reproducibility of the FFQ, as assessed by Cronbach's alpha, ranged from 0.61 (protein) to 0.70 (energy, carbohydrates and fat). Spearman's correlations between FFQ1 and FFQ2 ranged from rho = 0.333 (p = 0.072) for protein to rho = 0.479 (p < 0.01) for fat.</p><p><b>CONCLUSION</b>These findings indicate that the FFQ is valid and reliable for measuring the average intake of energy and macronutrients in a population of multi-ethnic children aged 7-12 years in Malaysia.</p>

Predicting basal metabolic rates in Malaysian adult elite athletes

<p><b>INTRODUCTION</b>This study aimed to measure the basal metabolic rate (BMR) of elite athletes and develop a gender specific predictive equation to estimate their energy requirements.</p><p><b>METHODS</b>92 men and 33 women (aged 18-31 years) from 15 sports, who had been training six hours daily for at least one year, were included in the study. Body composition was measured using the bioimpedance technique, and BMR by indirect calorimetry. The differences between measured and estimated BMR using various predictive equations were calculated. The novel equation derived from stepwise multiple regression was evaluated using Bland and Altman analysis.</p><p><b>RESULTS</b>The predictive equations of Cunningham and the Food and Agriculture Organization/World Health Organization/United Nations University either over- or underestimated the measured BMR by up to ± 6%, while the equations of Ismail et al, developed from the local non-athletic population, underestimated the measured BMR by 14%. The novel predictive equation for the BMR of athletes was BMR (kcal/day) = 669 + 13 (weight in kg) + 192 (gender: 1 for men and 0 for women) (R2 0.548; standard error of estimates 163 kcal). Predicted BMRs of elite athletes by this equation were within 1.2% ± 9.5% of the measured BMR values.</p><p><b>CONCLUSION</b>The novel predictive equation presented in this study can be used to calculate BMR for adult Malaysian elite athletes. Further studies may be required to validate its predictive capabilities for other sports, nationalities and age groups.</p>