Academic literature on the topic 'Yonakawatta (Colombo, Sri Lanka) Social conditions'

The Sri Lankan ethnic conflict can be identified as a landmark event in recent history, reflecting a visible social disunion between the majority and minority ethnic communities. Sri Lanka witnessed a major turnover of events, from circumscribed ethnic clashes to a full-scale civil war. The ripple effects of the Sri Lankan civil war crossed borders and drew global attention. The crisis involved successive governments in power in Colombo and Tamil separatist group, Liberation Tigers of Tamil Eelam (LTTE), paving way for the deadliest social unrest in Sri Lankan history. To mediate the conflict and bring adversaries to negotiation, neutral third parties were involved. Norway played a significant role as a third-party mediator who applied various means for mitigating Sri Lanka’s conflict. However, the complicated ethno-centric politics of Sri Lanka and their inconsistent outlook towards the peace process restricted the scope for a successful conflict resolution. This paper highlights both conditions for success and failure of conflict resolution, and the use of third-party intervention as a crucial toolkit.This research also points out the equation between mediators and adversaries, and how their behavioural patterns affect conflict resolution processes. The unpredictable nature of adversary behaviour exposes a variety of challenges that the mediators are often unprepared for. The Sri Lankan peace process uncovered the powerlessness of non-coercive third-party mediation. This study holds potential to drive future researchers closer to exploring means to minimize the impacts of such limitations on forthcoming reconciliations.

Undernutrition is a health challenge due to an expanding older population. The aims of the study were to assess the prevalence and determinants of undernutrition and, associated factors of low muscle and high fat mass among older men and women in the Colombo district of Sri Lanka. A cross sectional study was conducted using a multistage cluster sampling technique. Undernutrition was defined based on anthropometry and body composition assessed using bio-electrical impedance. Sex-specific multivariable logistic regression analyses were conducted. Of 800 participants (30.6% men), 35.3% were undernourished. The factors significantly associated with undernutrition among older women were hypertension with an adjusted odds ratio (aOR) (1.97; 1.36–2.88) and musculoskeletal disabilities aOR (2.19; 1.36–3.53). Among women, age ≥ 70 (1.79; 1.18–3.34) and diabetes (1.77; 1.10–2.84) were associated with low muscle mass and age ≥ 70 (2.05; 1.21–3.47), diabetes (2.20; 1.35–3.59) and disability in chewing (2.39; 1.30–4.40) were associated with high fat mass. Among men, age ≥ 70 years, no/up to grade 5 education, diabetes, visual disability, little/no responsibility in food shopping and not getting nutritional advice from media were associated with reduced odds of low muscle mass and no/up to grade 5 school education, disability in chewing and little/no responsibility in food shopping were associated with reduced odds of high fat mass. Undernutrition among older people is common in Sri Lanka. We have identified key factors associated with low muscle mass and high fat mass in this setting. Given the potential consequences of these conditions, our study provides potential targets for prevention of undernutrition and sarcopenic obesity.

Background: Tuberculosis (TB) is a major global health problem, commonly seen in underdeveloped countries. The probability of contracting the disease is significantly higher among the economically vulnerable and the socially disadvantaged. Risk factors associated with TB can also change over time. In the Sri Lankan context, no study has explored how these factors impact patients. Therefore, we aimed to explore social status, associated risk factors and lifestyle changes during the treatment period of TB patients attending a tertiary respiratory center in Colombo, Sri Lanka. Methods: The descriptive cross-sectional study was conducted in 2011. The study population consisted of diagnosed tuberculosis patients above the age of 15 years. Patient records were retrieved from the TB patient registry for the Colombo district. Systematic sampling was used to identify patients to be invited to the study. An interviewer-administered questionnaire was used for data collection. Data were collected on social status (example, level of education, employment, and income), associated risk factors (example, smoking and alcohol consumption, contact history, narcotic drug use) and lifestyle changes during treatment (example, employment status, social interactions). The analysis included a logistic regression model to explore the association between social status and risk factors. Results: The total number of patients included in the study was 425. Tuberculosis was found to be strongly prevalentamong participants from the lower socio-economic status. It was also common in participants with a low level of education, unemployed, if employed, those who are engaged in unskilled employment and have low levels of income. Risk factors associated with the patients were smoking, alcohol consumptions, narcotic drug use, imprisonment, closecontact history with active TB patients and chronic medical conditions. Changes in employment and the reduction ofsocial-interactions were the main lifestyle changes of the participants occurred during the treatment period. The analysis also showed positive correlation between low-level social status and sputum smear infectivity, and use of dangerous drugs. Even after adjusting for confounders, tuberculosis negatively affected social interactions and income levels of participants from the low social status. Conclusion: Low socio-economic status negatively affected the lifestyle and social interactions of patients during the treatment period. Though competent treatment programs exist in Sri Lanka, it is still important to identify and mitigate risk factors associated with tuberculosis patients. A comprehensive multi-disciplinary approach considering patient lifestyle, and the implications of the disease and treatment on social interactions may strengthen the current preventive strategies.