Dietary practices, physical activity and social determinants of non-communicable diseases in Nepal: A systemic analysis

Synergistic Epidemic or Syndemic: An Emerging Pattern of Human Diseases

Synergistic epidemics refer to the phenomenon where the occurrence and interaction of multiple diseases or health conditions exacerbate their individual impact, leading to complex health challenges and increased vulnerability in populations. Syndemics are a complex, multilevel phenomenon. In a population with biological interactions, a syndemic is the accumulation of two or more concurrent or sequential epidemics, which significantly worsens the situation. Disease concentration, disease interaction, and their underlying social forces, such as poverty and social inequality, are the fundamental concepts. Extensive political, economic, and cultural factors have contributed to cluster epidemics of several infectious diseases, particularly HIV and tuberculosis. Concerning the SAVA (substance abuse, violence, AIDS) syndemic, this narrative review article explores the complex interactions between substance abuse, violence, and HIV/AIDS. Further, it describes in-depth interactions between the COVID-19 syndemic's health conditions, societal factors, biological factors, and global dynamics. The review also emphasizes how infectious and non-communicable diseases interact, emphasizing how having one condition can make the severity and outcomes of another worse. It investigates the causes of synergistic epidemics and the impact of environmental factors. Syndemics acknowledge that the presence of one condition can worsen the severity and progression of others and take into account the intricate relationships between diseases. We can create more efficient plans to enhance health outcomes, lessen disparities, and promote healthier communities by understanding the connections between disorders and the underlying social determinants. This narrative review provides insights into the emerging patterns of human diseases within synergistic epidemics.

Traditional surveys versus ecological momentary assessments: Digital citizen science approaches to improve ethical physical activity surveillance among youth

The role of physical activity (PA) in minimizing non-communicable diseases is well established. Measurement bias can be reduced via ecological momentary assessments (EMAs) deployed via citizen-owned smartphones. This study aims to engage citizen scientists to understand how PA reported digitally by retrospective and prospective measures varies within the same cohort. This study used the digital citizen science approach to collaborate with citizen scientists, aged 13-21 years over eight consecutive days via a custom-built app. Citizen scientists were recruited through schools in Regina, Saskatchewan, Canada in 2018 (August 31-December 31). Retrospective PA was assessed through a survey, which was adapted from three validated PA surveys to suit smartphone-based data collection, and prospective PA was assessed through time-triggered EMAs deployed consecutively every day, from day 1 to day 8, including weekdays and weekends. Data analyses included paired t-tests to understand the difference in PA reported retrospectively and prospectively, and linear regressions to assess contextual and demographic factors associated with PA reported retrospectively and prospectively. Findings showed a significant difference between PA reported retrospectively and prospectively (p = 0.001). Ethnicity (visible minorities: β = - 0.911, 95% C.I. = -1.677, -0.146), parental education (university: β = 0.978, 95% C.I. = 0.308, 1.649), and strength training (at least one day: β = 0.932, 95% C.I. = 0.108, 1.755) were associated with PA reported prospectively. In contrast, the number of active friends (at least one friend: β = 0.741, 95% C.I. = 0.026, 1.458) was associated with retrospective PA. Physical inactivity is the fourth leading cause of mortality globally, which requires accurate monitoring to inform population health interventions. In this digital age, where ubiquitous devices provide real-time engagement capabilities, digital citizen science can transform how we measure behaviours using citizen-owned ubiquitous digital tools to support prevention and treatment of non-communicable diseases.