Medicine
Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/12
This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty
Browse
3 results
Search Results
Item Prediction equation for physical activity energy expenditure in 11-13-year-old Sri Lankan children(MDPI Publishing, 2023) Dabare, P.; Wickramasinghe, P.; Waidyatilaka, I.; Devi, S.; Kurpad, A.V.; Samaranayake, D.; de Lanerolle-Dias, M.; Wickremasinghe, R.; Hills, A.P.; Lanerolle, P.This study aimed to develop a regression equation to predict physical activity energy expenditure (PAEE) using accelerometry. Children aged 11-13 years were recruited and randomly assigned to validation (n = 54) and cross-validation (n = 25) groups. The doubly labelled water (DLW) technique was used to assess energy expenditure and accelerometers were worn by participants across the same period. A preliminary equation was developed using stepwise multiple regression analysis with sex, height, weight, body mass index, fat-free mass, fat mass and counts per minute (CPM) as independent variables. Goodness-of-fit statistics were used to select the best prediction variables. The PRESS (predicted residual error sum of squares) statistical method was used to validate the final prediction equation. The preliminary equation was cross-validated on an independent group and no significant (p > 0.05) difference was observed in the PAEE estimated from the two methods. Independent variables of the final prediction equation (PAEE = [0.001CPM] - 0.112) accounted for 70.6% of the variance. The new equation developed to predict PAEE from accelerometry was found to be valid for use in Sri Lankan children.Item Sedentary behavior during leisure time, physical activity and dietary habits as risk factors of overweight among school children aged 14-15 years: case control study(Biomed Central, 2018) Godakanda, I.; Abeysena, C.; Lokubalasooriya, A.OBJECTIVE: To determine the risk of sedentary behavior during leisure time, physical activity and dietary habits on overweight among school children aged 14-15 years in Kalutara District, Sri Lanka. RESULTS: School based case-control study was conducted during September to November 2013 including 176 overweight children as cases and 704 children with normal weight as controls. Cases were defined as body mass index for age and sex of ≥ +1SD and controls as those in the range of -2SD to +1SD. Validated instruments were used for data collection. Multiple logistic regression was applied and results were expressed with adjusted odds ratios (OR) and 95% confidence intervals (CI). Risk factors for overweight were insufficient physical activity (OR 1.6, 95% CI 1.1-2.4), watching video/DVD ≥ 2 h (OR 3.1, 95% CI 1.8-5.3), watching television ≥ 2 h (OR 2.6, 95% CI 1.7-3.8) and doing homework ≥ 2 h, (OR 1.8, 95% CI 1.2-2.7). Consuming meat (OR 1.9, 95% CI 1.2-3.1), fish or other sea foods (OR 1.6, 95% CI 1.1-2.8), fast food/fried rice/oily foods (OR 1.9, 95% CI 1.2-2.9), carbonated drinks or sugary drinks (OR 1.9, 95% CI 1.2-2.8), sweets, cookies or ice cream (OR 1.8, 95% CI 1.2-2.9) were dietary risk factors for overweight. Consuming legumes and seeds (OR 0.50, 95% CI 0.3-0.7), vegetables and fruits (OR 0.6, 95% CI 0.4-0.9) were protective factors for overweight.Item Effects of body mass index on gastric motility in children with abdominal pain-predominant functional gastrointestinal disorders.(Lippincott Williams & Wilkins, 2015) Karunanayake, A.; Devanarayana, N.M.; Rajindrajith, S.INTRODUCTION: There is evidence that overweight children have a higher prevalence of functional gastrointestinal disorders (FGIDs) than normal-weight children. Objective of this study was to assess the effects of body mass index (BMI) on gastric motility abnormalities in children with abdominal pain-predominant FGIDs (AP-FGIDs). METHODS: Gastric motility parameters of 100 children with AP-FGIDs (61(61%) girls, mean age 8.0 years [SD 2.1years] and 50 healthy controls (30 (30%) boys, mean age 8.6 years [SD 1.9 years]) were assessed at the Gastroenterology Research Laboratory of Faculty of Medicine, University of Kelaniya, Sri Lanka, using a previously validated ultrasound method. AP-FGIDs were diagnosed using Rome III criteria. Fifty-four had functional abdominal pain, 23 had irritable bowel syndromes, 9 had functional dyspepsia, 8 had abdominal migraine and 6 had more than one AP-FGID. RESULTS: Patients with AP-FGIDs had significantly lower gastric emptying rate (44.9% vs. 59.5% in controls, p < 0.0001), frequency of antral contractions (8.29 vs. 9.44, p < 0.0001), amplitude of antral contraction (48.6% vs. 58.1%, p < 0.0001) and antral motility index (4.0 vs. 6.4, p = 0.001). Fasting antral size (FA) and antral area at 1minute (AA1) and antral area at 15 minutes (AA15) after ingestion of the liquid test meal were not significantly different. BMI of children with AP-FGIDs and controls were respectively 15.2 and 15.6 (p = 0.42). The correlations between BMI and AA1 (r = 0.29, p = 0.007), AA15 (r = 0.32, p = 0.003) and MI (r = 0.22, p = 0.038) in children with AP-FGIDs were significant. Patients with BMI <15Kg/m2 had a lower FA (1.5cm2 vs. 2.1cm2, p = 0.03), AA1 (8.9 cm2 vs. 10.7 cm2, p = 0.003) and AA15 (4.6 cm2 vs. 5.8 cm2, p = 0.01) than patients with BMI >15Kg/m2. CONCLUSIONS: BMI has an impact on certain gastric motility parameters in children with AP-FGIDs. However, it does not contribute to abnormalities seen in main gastric motility parameters such as gastric emptying.