For decades, researchers have been puzzled by the finding that despite low socioeconomic status, fewer social mobility opportunities, and access barriers to health care, some migrant groups appear to experience lower mortality than the majority population of the respective host country (and possibly also of the country of origin). This phenomenon has been acknowledged as a paradox, and in turn, researchers attempted to explain this paradox through theoretical interpretations, innovative research designs, and methodological speculations.
Specific focus on the salmon effect/bias and the convergence theory may help characterize the past and current tendencies in migrant health research to explain the paradox of healthy migrants: the first examines whether the paradox reveals a real effect or is a reflection of methodological error, and the second suggests that even if migrants indeed have a mortality advantage, it may soon disappear due to acculturation. These discussions should encompass mental health in addition to physical health.
It is impossible to forecast the future trajectories of migration patterns and equally impossible to always accurately predict the physical and mental health outcomes migrants/refugees who cannot return to the country of origin in times of war, political conflict, and severe climate change. However, following individuals on their path to becoming acculturated to new societies will not only enrich our understanding of the relationship between migration and health but also contribute to the acculturation process by generating advocacy for inclusive health care.
Article
Convergence Theory and the Salmon Effect in Migrant Health
Yudit Namer and Oliver Razum
Article
Intervention Approaches for Osteoarthritis
Susan Hughes, Cheryl Der Ananian, and Andrew DeMott
Osteoarthritis (OA) currently affects 32.5 million people in the United States at a cost of $136.8 billion. The available literature on the epidemiology of OA shows that the number of people affected will increase exponentially by the year 2040, affecting 78.4 million people. There is an abundance of evidence that self-management and physical activity (PA) approaches improve multiple outcomes for individuals with arthritis. However, these programs are not widely accessible to the population that can benefit from them across the United States. Two national organizations—the arthritis program of the Centers for Disease Control and Prevention (CDC) and the Administration on Community Living (ACL)—have established similar, but distinct, criteria for the review of evidence-based programs and seek to promote their dissemination. The CDC arthritis program has reviewed the evidence bases of arthritis-appropriate, evidence-based intervention programs and classified them as self-management or PA approaches. These “recognized” programs are recommended for national dissemination by the CDC. The ACL has also recognized several of the same programs by using its own criteria and classified them as Self-Management or Falls Prevention approaches. The different review criteria used by these two national public organizations present significant challenges for investigators who design interventions. The situation is further compounded by an investment in funding that hugely supports the discovery of interventions as opposed to the dissemination of interventions that have demonstrated efficacy. The National Public Health Agenda for Osteoarthritis: 2020 Update presents a blueprint that includes nine strategies for improving public health outcomes among persons with OA. These recommendations should be considered by interventionists in the future when developing programs. Other areas that can substantially benefit from further research include weight management and weight loss, injury prevention, technology-based interventions, addressing comorbid conditions, and understanding program mechanisms of action. Finally, underscoring all of these approaches and common to them is the need to enroll underserved populations to improve health equity. Underserved populations disproportionately include African Americans, Hispanics, persons with low socioeconomic status, and persons who live in rural areas of the United States. Policy recommendations to render future approaches to improving health outcomes for persons with OA are (a) to increase funding for the dissemination of programs that demonstrated efficacy and effectiveness, (b) to increase the transparency of the review and funding processes across public agencies, and (c) to nurture, broker, and provide sustainable funding streams to maintain evidence-based programming for all persons with OA across the United States.
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Occupational Health Challenges for Immigrant Workers
Emily Q. Ahonen
Occupational health and safety concerns classically encompass conditions and hazards in workplaces which, with sufficient exposure, can lead to injury, distress, illness, or death. The ways in which work is organized and the arrangements under which people are employed have also been linked to worker health. Migrants are people who cross borders away from their usual place of residence, and about one in seven people worldwide is a migrant. Terms like “immigrant” and “emigrant” refer to the direction of that movement relative to the stance of the speaker. Any person who might be classified as a migrant and who works or seeks to work is an immigrant worker and may face challenges to safety, health, and well-being related to the work he or she does. The economic, legal, and social circumstances of migrant workers can place them into employment and working conditions that endanger their safety, health, or well-being. While action in support of migrant worker health must be based on systematic understanding of these individuals’ needs, full understanding the possible dangers to migrant worker health is limited by conceptual and practical challenges to public health surveillance and research about migrant workers. Furthermore, intervention in support of migrant worker health must balance tensions between high-risk and population-based approaches and need to address the broader, structural circumstances that pattern the health-related experiences of migrant workers. Considering the relationships between work and health that include but go beyond workplace hazards and occupational injury, and engaging with the ways in which structural influences act on health through work, are complex endeavors. Without more critically engaging with these issues, however, there is a risk of undermining the effectiveness of efforts to improve the lot of migrant workers by “othering” the workers or by failing to focus on what is causing the occupational safety and health concern in the first place—the characteristics of the work people do. Action in support of migrant workers should therefore aim to ameliorate structural factors that place migrants into disadvantageous conditions while working to improve conditions for all workers.
Article
Prevention of Suicide
Danuta Wasserman
Around 700,000 people take their lives each year worldwide. Suicide accounts for approximately 1.3% of all deaths and therefore represents a major public health problem. The global age-standardized suicide rate is 9 per 100,000 population, yet there are large variations among genders, ages, countries, and world regions. The stress–vulnerability model of suicidal behaviors has been proposed to explain how a diathesis, developed through the influence of genetic and neurodevelopmental factors in relation to perinatal, postnatal, and life experiences, interacts with different risk and protective factors that either decrease or enhance the individual’s level of resilience to stress and suicidal risk. Public health suicide prevention strategies include suicide means restriction, reducing harmful substance use, promoting responsible media reporting, public-awareness campaigns, gatekeeper trainings, school-based interventions, crisis helplines, and postvention. Mental health strategies comprise identification, treatment, and rehabilitation of persons in distress and at risk for suicide. Multicomponent strategies that use a combination of evidence-based methods from public and mental health sectors are recommended. Future work should aim at enhancing the quality of epidemiological data, improving the research on protective and ideation-to-action factors, expanding the quantity and quality of data coming from low- and middle-income countries, and evaluating the cost-effectiveness of different suicide prevention strategies.
Article
Using Large Data Sets to Measure Health Status and Service Use of Older Adults
Kimberly E. Lind and Magdalena Z. Raban
Commonly used data sources for measuring health status and service use of older adults include national surveys and secondary data analysis of electronic data sources including healthcare claims data and electronic health records (EHRs). Depending on how the data are generated in EHRs and medical claims, and depending on how long people are observed for, the ability to measure prevalence or incidence of chronic conditions and the ability to measure incidence or a history of acute conditions will vary. Various data types spanning standardized data (diagnostic codes, procedure codes), medication administered or prescribed, unstructured free text such as clinical notes, and clinical assessment data can all be used to measure health status and service use. Different data sources and types of variables have different benefits and limitations depending on how data are generated and the incentives for those recording data (i.e., healthcare providers and billing staff) to be complete. Testing assumptions and exploring the validity of measures can be accomplished by approaches such as comparing agreement of measures (e.g., disease prevalence) across data tables within a data source, comparing agreement with linked data sources, and comparing rates of disease or service use to rates in data sources that have similar populations. Future directions for administrative data such as data linkage and natural language processing will improve the utility of administrative data. The information and concepts are broadly applicable, but for illustrative purposes, examples of how these approaches have been applied to electronic data from administrative records including EHRs and claims data to fill important knowledge gaps and measure health status and quality of care from Australia and the United States are presented.
