Introduction Pittsburg Sleep Quality Index (PSQI) is a widely used standardized instrument to assess sleep quality in clinical and research settings. Objective of the study was to translate the PSQI into Sinhala language and validate using a combined qualitative and quantitative approach.Methods Every fifth patient aged 18-60 years who attended the out-patients department of a tertiary care hospital was recruited. PSQI was translated into Sinhala using a combined qualitative and quantitative approach. Internal consistency was measured using Cronbach's alpha. Construct validity was assessed by comparing the scores in patients who were identified as having depressive disorder according to the Centre for Epidemiologic Studies Depression Scale (CES-D) and those without depressive disorder.Results Forty-six participants with depression were compared with 159 non depressed controls. Mean PSQI component scores were significantly higher in depressed patients in 5 components. Factor analysis identified a single component explaining 53.53% of the variance. Cronbach's alpha of 0.85 indicated a high internal consistency. ConclusionsThe Sinhala translation of the PSQI is a valid and reliable tool to assess sleep quality.
ObjectivesTo assess the prevalence of betel chewing among adult males in a rural and urban district in Sri Lanka and describe the demographic characteristics of betel chewers.
MethodsBetel use among 2684 males aged >18 years resident in a rural (Polonnaruwa) and urban (Colombo) district in Sri Lanka was assessed using multistage cluster sampling. Data on quantity and frequency of use was obtained using an interviewer administered questionnaire.
ResultsPrevalence of betel chewing was 17.6% in the rural and 1.7% in the urban district. In the rural district prevalence was significantly associated with age (p<0.001). In both districts prevalence was lowest among males between 18-24 years of age (2.7%) and highest among those aged> 65 years (36%). In both districts prevalence was significantly associated with income (p<0.05). Prevalence was highest among those with a monthly income
Background About 30% of patients treated with second generation antipsychotics (SGA) experience weight gain. Although there is evidence that the FTO gene is associated with obesity its role in antipsychotic induced weight gain is not so clear. Methods A genetic association study was carried out to identify the association between FTO rs9939609 and antipsychotic induced weight gain. Sample consisted of 180 cases and 120 controls. Cases were patients diagnosed with schizophrenia or schizoaffective disorder, treated with second-generation antipsychotics for a minimum of 3 months, and had gained at least 10% of body weight. Controls were patients with schizophrenia treated with second-generation antipsychotics for a minimum of 3 months but had not gained ≥10% of body weight. Genomic DNA was extracted from whole blood. Polymerase chain reaction of the samples was done. Real-time quantitative PCR (qPCR) was carried out using BIO-RAD CFX96 Touch TM PCR detection system. Results Females were significantly more among cases (58.3%) than controls (35%). Cases (52.4%) were significantly more likely to be overweight or obese than controls (13.8%). Genotype distribution was in Hardy-Weinberg equilibrium (p=0.43). Cochran-Armitage trend test was not significant. Risk of antipsychotic induced weight gain in the AA genotype [OR 1.69 (95% CI 0.74-3.86)] and AT genotype [OR 1.1 (95% CI 0.67-1.79)] were not significantly higher than the TT genotype. Recessive model showed that AA/AT genotypes were at significantly higher risk of being obese/overweight [OR 1.84 (95% CI 1.05-3.2)]. Conclusions There was no significant association between FTO rs9939609 and antipsychotic induced weight gain. AA/AT genotypes had significantly higher risk of overweight/obesity.
Objectives The objective was to study the prevalence of fatigue symptoms among Special Forces and regular forces military personnel deployed in combat areas and to explore factors associated with fatigue symptoms.Methods This is a cross sectional study of representative samples of Sri Lanka Navy Special Forces and regular forces deployed in combat areas continuously for at least one year. Fatigue was measured using a 12 item fatigue scale. Symptoms of common mental disorder were identified using the General Health questionnaire 12 (GHQ-12). Multiple physical symptoms were elicited using a checklist of symptoms. PTSD was diagnosed using the 17-item National Centre for PTSD checklist civilian version (PCL-C).Results Sample consisted of 259 Special Forces and 412 regular navy personnel. Prevalence of fatigue over the last month was 13.41% (95% CI 10.83-16.00). Prevalence was significantly less in the Special Forces (5.4%) than in the regular forces (18.4%) [OR 0.38 (95% CI 0.17-0.82)]. Only two types of combat exposure "thought I might be killed" and "coming under mortar, missile and artillery fire" were significantly associated with fatigue symptoms. Fatigue was strongly associated with symptoms of common mental illness [adjusted OR 12.82 (95% CI 7.10-23.12)], PTSD [adjusted OR 9.08 (95% CI 2.84-29.0)] and multiple somatic symptoms ]. Fatigue was significantly associated with functional impairment.Conclusions Prevalence of fatigue was significantly lower in the Special Forces despite high combat exposure. Fatigue was associated only with indicators of intense combat exposure. Fatigue caused significant functional impairment even after adjusting for psychological morbidity.
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