Conference Papers
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/6561
This collection contains abstracts of conference papers, presented at local and international conferences by the staff of the Faculty of Medicine
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Item Risk factors for low resilience among grade 10 adolescents in the Gampaha District(Sri Lanka Medical Association, 2023) Manori, D.M.S.; Jayawardana, P.L.; Godamunne, P.INTRODUCTION: Resilience denotes the ability to withstand adversity and bounce back from difficult life events. OBJECTIVE: To determine risk factors for low resilience among Grade 10 adolescents in the District of Gampaha. METHODS: A case-control study with a computed sample size of 128 in each among cases (low resilience) and controls (high resilience) was conducted. Cases and controls were selected by applying simple random sampling to a descriptive study where the magnitude of resilience was determined. For data analysis bivariate (using chi-square test) followed by multiple logistic regression were applied. Results were expressed as adjusted odds ratios with 95% confidence intervals. RESULTS: Risk factors for low resilience were: one or both parents dead (AOR=3.4; 95% CI [1.1, 10.1]; p=0.031), mother’s educational level ≤GCE A/L (AOR=2.3; 95% CI [1.4, 3.6]; p=0.001), losing temper frequently (AOR=2.5; 95% CI [1.9, 3.4]; p<0.001), having <6 friends (AOR=1.4; 95% CI [1.03;1.9]; p<0.048), having <6 close friends (AOR=1.6; 95% CI [1.06, 2.5]; p=0.024), having conflicts with friends (AOR=2.0; 95% CI [1.03, 3.74]; p=0.040), lack of support from home (AOR=1.5; 95% CI [1.04, 2.20]; p=0.031), not seeking help when facing difficult situations (AOR=1.7; 95% CI [1.2, 2.3]; p=0.001), sleeping for <8 hours/day (AOR=1.4; 95% CI [1.2, 1.8]; p=0.007), lack of religious affiliations (AOR=2.6; 95% CI [1.2, 5.7]; p < 0.015) and non-attending Sunday school (AOR=2.1; 95% CI [1.5, 3.2]; p<0.001). CONCLUSION: Eleven risk factors were identified. Recommend conducting cognitive behavioural therapy-based interventions regularly at the school level targeting to minimize the impact of the above risk factors.Item Developing a tool to screen for disability among pre-school children: preliminary results(Sri Lanka Medical Association, 2014) Perera, K.M.N.; Wijerathne, L.; Jayasinghe, C.; Kasturiratne, A.; Hettiarachchi, S.; Fonseka, R.; Jayasena, B.N.; Siriwardhena, D.; Godamunne, P.; Dahanayake, W.; Pathmeswaran, A.; Wickremasinghe, A.R.INTRODUCTION AND OBJECTIVES: To develop and validate a tool that can be used by pre-school teachers to identify disabilities in the pre-school age group. METHODS: A multidisciplinary team was formed and the initial tool was developed^ Consensual validity was achieved by using nominal group technique and the tool was pre-tested in the Ragama MOH area. To assure criterion validity, the tool was used to screen all the children in the pre-school age group (2-5 years) in an MOH area randomly selected from the Anuradhapura District. The screened positives .were referred to an expert panel for confirmation of diagnosis and follow-up if required. RESULTS: Thousand nine hundred children were invited for screening and 1536 participated (478 2-3 years, 495 3-years, 560 > 4 years of age) and 267 (17.4%) were referred to the expert panel. Out of the referrals, majority (38.9%) had multiple disabilities. Hearing and speech difficulties were seen in (29.6%). Psycho social problems (11.6%), disabilities and other diseases (19.8%) accounted for the rest. The response rate for confirmation by experts was 64%. The predictive value of a positive test was 79.5%. The prevalence of disabilities among the screened pre-school age group was 88 per 1000 (95% Cl= 74 to 103). CONCLUSIONS: This tool can be used to screen children in the pre-school age for disabilities.