BackgroundOne-in-ten Sri Lankans are employed abroad as International Labor Migrants (ILM), mainly as domestic maids or low-skilled laborers. Little is known about the impact their migration has on the health status of the children they ‘leave behind’. This national study explored associations between the health status of ‘left-behind’ children of ILM’s with those from comparative non-migrant families.MethodsA cross-sectional study design with multi-stage random sampling was used to survey a total of 820 children matched for both age and sex. Socio-demographic and health status data were derived using standardized pre-validated instruments. Univariate and multivariate analyses were used to estimate the differences in mental health outcomes between children of migrant vs. non-migrant families.ResultsTwo in every five left-behind children were shown to have mental disorders [95%CI: 37.4-49.2, p < 0.05], suggesting that socio-emotional maladjustment and behavioural problems may occur in absence of a parent in left-behind children. Male left-behind children were more vulnerable to psychopathology. In the adjusted analyses, significant associations between child psychopathological outcomes, child gender and parent’s mental health status were observed. Over a quarter (30%) of the left-behind children aged 6–59 months were ‘underweight or severely underweight’ compared to 17.7% of non-migrant children.ConclusionsFindings provide evidence on health consequences for children of migrant worker families in a country experiencing heavy out-migration of labour, where remittances from ILM’s remain as the single highest contributor to the economy. These findings may be relevant for other labour ‘sending countries’ in Asia relying on contractual labor migration for economic gain. Further studies are needed to assess longitudinal health impacts on the children left-behind.
BackgroundIn Sri Lanka, civilians in the Northern Province were affected by a long-term armed conflict that ended in 2009. This study aims to describe the prevalence of depression and its associated factors among adult patients attending primary care settings in the Northern Province in Sri Lanka.MethodsWe report data from a cross-sectional patient morbidity registry established in 16 primary care facilities (12 Divisional Hospitals and 4 Primary Medical Care Units) in four districts of the Northern Province. The Patient Health Questionnaire-9 (PHQ-9) was used to assess depression among all patients aged ≥18 years, between March and May 2013. A sample of 12,841 patient records was included in the analysis. A total score of ≥10 in the PHQ-9 was considered as major depression. Factors associated with major depression were tested using multivariable logistic regression analysis.ResultsThe prevalence of major depression was 4.5% (95% CI: 4.1-4.9) and mild depression was 13.3% (95% CI: 12.7-13.9). The major depression was significantly higher in females than males (5.1% vs. 3.6%) and among unpaid family workers (6.0%) than any other category who earned an income (varied between 1.2% and 3.2%). The prevalence was rising significantly with advancing age, and ranged from 0.3% in the youngest to 11.6% in the elderly.Multivariable regression analysis revealed that the females have a higher risk for major depression than males (OR = 1.4; 95% CI: 1.1-1.7). Older patients were more likely to be depressed than younger patients, OR (95% CI) were 4.9 (1.9-12.5), 5.6 (2.2-14.0), 5.7 (2.3-14.2) and 4.7 (1.8-11.9) for the age groups 25–34, 35–49, 50–64, and ≥65 years respectively, in contrast to 18–24 year group. Disability in walking (OR = 7.5; 95% CI: 5.8-9.8), cognition (OR = 4.5; 95% CI: 3.6-5.6), self-care (OR = 2.6; 95% CI: 1.7-4.0), seeing (OR = 2.3; 95% CI: 1.8-3.0), and hearing (OR = 2.0; 95% CI: 1.5-2.5) showed significant associations with depression.ConclusionsDepression is a common issue at primary care settings in a post-conflict population, and the elders, women and persons with disability are at a greater risk. Strengthening capacity of primary care facilities and community mental health services is necessary for early detection and management.
Information on causes of death is critical for informed decision making in the health sector. This paper reports findings from a study that measured the accuracy of registered causes of death and quality of medical records for a sample of deaths occurring in hospitals in Colombo, Sri Lanka. Five physicians, trained in medical certification of cause of death, reconstructed death certificates for hospital deaths from medical records and assessed the quality of medical records for this purpose. The majority of medical records were found to be of average quality. Concordance between the underlying cause of death in the vital registration data and that from the 'gold standard' (medical records review) diagnosis was 41.4% (n=249). The sensitivity of all leading causes of death and positive predictive value were below 67%. Major misclassification errors were found in identifying deaths due to vascular diseases and diabetes mellitus. Certified causes of death in Sri Lanka are frequently incorrect, thus limiting their value for health policy and for monitoring progress towards development goals. Sri Lanka, and other countries at a similar level of statistical development, should consider periodically conducting research to evaluate the quality of cause of death reporting at both local and national levels.
Irregular migration in the form of human smuggling and human trafficking is recognized as a global public health issue. Thirty-two cases of Plasmodium falciparum were detected in 534 irregular migrants returning to Sri Lanka via failed human smuggling routes from West Africa in 2012, contributing to the largest burden of imported cases in Sri Lanka as it entered elimination phase. Beyond the criminality and human rights abuse, irregular migration plays an important, but often forgotten, pathway for malaria re-introduction. Active surveillance of the growing numbers of irregular migrant flows becomes an important strategy as Sri Lanka advances towards goals of malaria elimination.
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