Purpose People with vision loss are at increased risk for major depressive disorder (MDD) and subclinical depression. However, screening for depression is rarely done in eye care settings or among groups in the general population known to have vision disorders. Methods We examined the prevalence of depression, using the Patient Health Questionnaire – 2 (PHQ‐2), among a group of older adults (N = 204; mean age = 82.15) at two senior living facilities (SLFs) and determined the relationships between severity of depression and objective visual findings, visual function, beliefs about taking an active role in one's own eye care (i.e., patient activation) and level of social support. Results Approximately 50% of the sample had impaired vision in at least one eye, and close to 30% of the sample obtained a score on the PHQ‐2 indicating the likely presence of major depressive disorder. Visual testing findings were related to visual function (e.g., ability to read), but not to depression. Patient activation was also not significantly related to the level of depression. However, impaired visual functioning and less social support were both strong predictors of depression. These two variables and their interaction accounted for 17% of the total PHQ‐2 score variance. Conclusions These data indicate the potential utility of screening for depression as part of vision care in populations likely to have significant vision loss. The findings also suggest that a comprehensive approach to depression prevention and/or reduction in SLF and similar populations may require interventions to address reduced visual functioning and methods to strengthen social networks.
Background Bangladesh has reduced malaria incidence and mortality by over 75% between 2010 and 2020. Widespread long-lasting insecticidal net (LLIN) distribution and use is one of the measures responsible for this success. Recalcitrant malaria hotspots within the Chittagong Hill Tracts districts suggest important drivers of malaria risk may remain uncharacterized. Methods Towards understanding how household-level human behaviour impacts exposure to mosquitoes, parallel human landing catches and human behavioural observations were conducted in four households for 6 months (May–October) over the rainy season in the Bandarban District. Analysis quantifies spatiotemporal human behaviour-adjusted exposure to Anopheles with and without LLINs. Results This small-scale operational study demonstrates that human spatial and temporal presence along with LLIN use drives exposure to Anopheles. Though the four households had both outdoor and indoor exposure, especially in the evening (1800–2000 h) and early morning (0400–0500 h), data points to household-based heterogeneity in malaria exposure even with similar LLIN access. Conclusion Incorporating human behaviour into exposure estimates can be used to understand the efficacy and limitations of local vector control strategies and identify gaps in protection, as well as where present intervention strategies may be optimized.
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