Health inequities in influenza transmission and surveillance

The lower an individual’s socioeconomic position, the higher their risk of poor health in low-, middle-, and high-income settings alike. As health inequities grow, it is imperative that we develop an empirically-driven mechanistic understanding of the determinants of health disparities, and capture disease burden in at-risk populations to prevent exacerbation of disparities. Past work has been limited in data or scope and has thus fallen short of generalizable insights. Here, we integrate empirical data from observational studies and large-scale healthcare data with models to characterize the dynamics and spatial heterogeneity of health disparities in an infectious disease case study: influenza. We find that variation in social and healthcare-based determinants exacerbates influenza epidemics, and that low socioeconomic status (SES) individuals disproportionately bear the burden of infection. We also identify geographical hotspots of influenza burden in low SES populations, much of which is overlooked in traditional influenza surveillance, and find that these differences are most predicted by variation in susceptibility and access to sickness absenteeism. Our results highlight that the effect of overlapping factors is synergistic and that reducing this intersectionality can significantly reduce inequities. Additionally, health disparities are expressed geographically, and targeting public health efforts spatially may be an efficient use of resources to abate inequities. The association between health and socioeconomic prosperity has a long history in the epidemiological literature; addressing health inequities in respiratory-transmitted infectious disease burden is an important step towards social justice in public health, and ignoring them promises to pose a serious threat.     

Leveraging genetic ancestry to study health disparities

Research to understand human genomic variation and its implications in health has great potential to contribute in the reduction of health disparities. Biological anthropology can play important roles in genomics and health disparities research using a biocultural approach. This paper argues that racial/ethnic categories should not be used as a surrogate for sociocultural factors or global genomic clusters in biomedical research or clinical settings, because of the high genetic heterogeneity that exists within traditional racial/ethnic groups. Genetic ancestry is used to show variation in ancestral genomic contributions to recently admixed populations in the United States, such as African Americans and Hispanic/Latino Americans. Genetic ancestry estimates are also used to examine the relationship between ancestry-related biological and sociocultural factors affecting health disparities. To localize areas of genomes that contribute to health disparities, admixture mapping and genome-wide association studies (GWAS) are often used. Recent GWAS have identified many genetic variants that are highly differentiated among human populations that are associated with disease risk. Some of these are population-specific variants. Many of these variants may impact disease risk and help explain a portion of the difference in disease burden among racial/ethnic groups. Genetic ancestry is also of particular interest in precision medicine and disparities in drug efficacy and outcomes. By using genetic ancestry, we can learn about potential biological differences that may contribute to the heterogeneity observed across self-reported racial groups.     

The microbiology of asthma

Asthma remains an important human disease that is responsible for substantial worldwide morbidity and mortality. The causes of asthma are multifactorial and include a complex mix of environmental, immunological and host genetic factors. In addition, epidemiological studies show strong associations between asthma and infection with respiratory pathogens, including common respiratory viruses such as rhinoviruses, human respiratory syncytial virus, adenoviruses, coronaviruses and influenza viruses, as well as bacteria (including atypical bacteria) and fungi. In this Review, we describe the many roles of microorganisms in the risk of developing asthma and in the pathogenesis of and protection against the disease, and we discuss the mechanisms by which infections affect the severity and prevalence of asthma.     

Health and the life course: why safety nets matter.

This article argues that a life course approach is necessary to understand social variations in health. This is needed in order to take into account the complex ways in which biological risk interacts with economic, social, and psychological factors in the development of chronic disease. Such an approach reveals biological and social "critical periods" during which social policies that will defend individuals against an accumulation of risk are particularly important. In many ways, the authors of modern welfare states were implicitly addressing these issues, and the contribution of these policies to present day high standards of health in developed countries should not be ignored.     

Including Ethnic Minorities in Mental Health Intervention Research: A Practical Approach to a Long-Standing Problem

This paper examines a controversy that arose while developing a supplement to Mental Health: A Report of the Surgeon General that was focused on ethnic minority mental health. The controversy involved whether and how to make recommendations about ethnic minorities seeking mental health care. We found that few studies provided information on outcomes of mental health care for ethnic minorities. In this paper, we discuss outcomes of mental health care for ethnic minorities and how to proceed in developing an evidence base for understanding mental health care and minorities. We conclude that entering representative (based on population) numbers of ethnic minorities in efficacy trials is unlikely to produce useful information on outcomes of care because the numbers will be too small to produce reliable findings. We also conclude that while conducting randomized efficacy trials for all mental health interventions for each ethnic group would be impractical, innovative and theoretically informed studies that focus on specific cultural groups are needed to advance the knowledge base. We call for theory-driven research focused on mental health disparities that has the potential for understanding disparities and improving outcomes for ethnic minority populations.     

Focus: Health Equity: Lung Disease in Central Appalachia: It’s More than Coal Dust that Drives Disparities

The population living in Central Appalachia is disproportionately impacted by lung disease. This is driven, in part, by occupational hazards and environmental exposures. However, it is more than coal dust that is driving the ongoing disparity of lung disease in the region. This review describes how the decline of the coal mine industry and subsequent rise of unemployment, poverty, and educational disparities have increased risk for worse pulmonary health outcomes in the region. Additional challenges related to healthcare access, substance use, cultural characteristics, and social capital are highlighted in their relation to pulmonary health within Central Appalachia. Lastly, the review describes strategies that hold promise to reduce regional health disparities. Several healthcare and community-centered initiatives are highlighted as successful examples of collaborative efforts working towards improving pulmonary health outcomes in the region. However, significant challenges related to social, economic, and environmental factors remain. Addressing these social determinants of health must be a paramount concern for healthcare, community and political leaders seeking to impact change and improve the health and well-being of this vulnerable population.     

Elevated asthma morbidity in Puerto Rican children: a review of possible risk and prognostic factors

Latino children represent a significant proportion of all US children, and asthma is the most common chronic illness affecting them. Previous research has revealed surprising differences in health among Latino children with asthma of varying countries of family origin. For instance, Puerto Rican children have a higher prevalence of asthma than Mexican American or Cuban American children. In addition, there are important differences in family structure and socioeconomic status among these Latino populations: Cuban Americans have higher levels of education and family income than Mexican-Americans and Puerto Ricans; mainland Puerto Rican children have the highest proportion of households led by a single mother. Our review of past research documents differences in asthma outcomes among Latino children and identifies the possible genetic, environmental, and health care factors associated with these differences. Based on this review, we propose research studies designed to differentiate between mutable and immutable risk and prognostic factors. We also propose that the sociocultural milieus of Latino subgroups of different ethnic and geographic origin are associated with varying patterns of risk factors that in turn lead to different morbidity patterns. Our analysis provides a blue-print for future research, policy development, and the evaluation of multifactorial interventions involving the collaboration of multiple social sectors, such as health care, public health, education, and public and private agencies.     

How race becomes biology: Embodiment of social inequality

The current debate over racial inequalities in health is arguably the most important venue for advancing both scientific and public understanding of race, racism, and human biological variation. In the United States and elsewhere, there are well-defined inequalities between racially defined groups for a range of biological outcomes—cardiovascular disease, diabetes, stroke, certain cancers, low birth weight, preterm delivery, and others. Among biomedical researchers, these patterns are often taken as evidence of fundamental genetic differences between alleged races. However, a growing body of evidence establishes the primacy of social inequalities in the origin and persistence of racial health disparities. Here, I summarize this evidence and argue that the debate over racial inequalities in health presents an opportunity to refine the critique of race in three ways: 1) to reiterate why the race concept is inconsistent with patterns of global human genetic diversity; 2) to refocus attention on the complex, environmental influences on human biology at multiple levels of analysis and across the lifecourse; and 3) to revise the claim that race is a cultural construct and expand research on the sociocultural reality of race and racism. Drawing on recent developments in neighboring disciplines, I present a model for explaining how racial inequality becomes embodied—literally—in the biological well-being of racialized groups and individuals. This model requires a shift in the way we articulate the critique of race as bad biology. Am J Phys Anthropol 2009. © 2009 Wiley-Liss, Inc.     

The Quality of Mental Health Care for African Americans

In response to the Surgeon General's request for more research on racial disparities in mental health care, especially research that includes high-need populations (e.g., the homeless, incarcerated, children in foster care, and substance abusers), we examined racial disparities in the provision of mental health counseling, psychotherapy, and pharmacotherapy in hospital outpatient settings using nationally representative data from the 1997 National Hospital Ambulatory Medical Care Survey (NHAMCS). After controlling for diagnosis and other factors, we found that African Americans were less likely than whites to receive mental health counseling and psychotherapy, but more likely than whites to receive pharmacotherapy. We also found that substance abuse clinics were more likely than primary care and specialty mental health clinics to provide mental health counseling and psychotherapy. However, specialty mental health clinics were the only clinics to provide pharmacotherapy. Future research should examine racial disparities in a variety of settings, controlling for diagnosis as well as other factors.     

Health transition: examples from the western Pacific.

The Industrial Revolution ushered in a rapid transition from agriculture to industrialization. Some biological effects of this transition included increasing life expectancy, reduced infant mortality, and some decline in fertility. Reduced infant mortality first brought about an increase in life expectancy, but as humans were able to control infectious diseases, child and adult mortality also decreased. Now, accidents and chronic diseases are responsible for most mortality in many age groups. This shift from infectious diseases to accidents and chronic diseases is called the health transition. Japan and US are Pacific Basin countries which have relatively high life expectancy and low infant mortality (1988, 75.54 years vs. 71.38 years, and 4.4 vs. 9.9, respectively). These figures suggest that these countries rather advanced in the health transition. Japan may have better life expectancy than the US because of the effect of environmental factors, ethnic diversity, and health care differentials by social class on cardiovascular disease and cancer mortality. China and Thailand hold intermediate positions (67.98 years (1985-1990) vs. 63.82 years (1985-1986), and 32.4 vs. 39, respectively). Some research indicates that urban conditions and factory work increase the cardiovascular disease risk among the Chinese. Recent research suggests that access to immunization and modern medical care for acute disease are the only critical variables of the health transition rather than other variables. Papua New Guinea is not progressing very well (53.18 years and 58). Papua New Guinea has not yet been able to control infectious diseases, especially malaria. This comparison illustrates that populations progress through the health transition at different rates.     

A probabilistic model of biological ageing of the lungs for analysing the effects of smoking,asthma and COPD

Background

Although a large body of literature is available that describes the effects of smoking, asthma and COPD on lung function, most studies are restricted to a small age range and to one factor. As a consequence, available results are incomplete and often difficult to compare, also due to the ways the effects are expressed. Furthermore, current approaches consider one type of measurement only or several types separately.

Methods

We propose a probabilistic model that expresses the effects as number of years added to chronological age or, in other words, that estimates the biological age of the lungs. Using biological age as a measure of the effects has the advantage of facilitating the understanding of their severity and comparison of results. In our model, chronological age and other factors affecting the health status of the lungs generate biological age, which in turn generates lung function measurements. This structure enables the use of multiple types of measurement to obtain a more precise estimate of the effects and parameter sharing for characterization over large age ranges and of co-occurrence of factors with little data. We treat the parameters that model smoking habits and lung diseases as random variables to obtain uncertainty in the estimated effects.

Results

We use the model to investigate the effects of smoking, asthma and COPD on the TwinsUK Registry. Our results suggest that the combination of smoking with lung disease(s) has higher effect than smoking or lung disease(s) alone, and that in smokers, co-occurrence of asthma and COPD is more detrimental than asthma or COPD alone.

Conclusions

The proposed model or other models based on a similar approach could be of help in improving the understanding of factors affecting lung function by enabling characterizations over large age ranges and of co-occurrence of factors with little data and the use of multiple types of measurement. The software implementing the model can be downloaded at the first author’s webpage.     

Focus: Health Equity: COVID-19 Healthcare Inequity: Lessons Learned from Annual Influenza Vaccination Rates to Mitigate COVID-19 Vaccine Disparities

The COVID-19 pandemic has infected 33 million Americans and resulted in more than 600,000 deaths as of late Spring 2021. Black, Indigenous, and Latinx (BIL) people are disproportionately infected, hospitalized, and dying. Effective vaccines were rapidly developed and have been widely available in the United States since their initial rollout in late 2020-early 2021 but vaccination rates in BIL communities have remained low compared with non-BIL communities. Limited access to the vaccine, lack of customized information, and mistrust of the medical system, all contribute to vaccine hesitancy and low vaccination rates. Regrettably, COVID-19 is not the only vaccine-preventable illness with racial/ethnic inequities. Similar inequities are seen with the seasonal influenza vaccine. We review the racial/ethnic health disparities in COVID-19 illness and vaccination rates and what inequities contribute to these disparities. We use evidence from the seasonal influenza vaccination efforts to inform potential strategies to attenuate these inequities. The development of effective and sustainable strategies to improve vaccination rates and reduce factors that result in health inequities is essential in managing current and future pandemics and promoting improved health for all communities.     

A Risk-Based Approach to Health Impact Assessment for Input-Output Analysis, Part 2: Case Study of Insulation (8 pp)

Goal, Scope and Background In the first part of this paper, we developed a methodology to incorporate exposure and risk concepts into life cycle impact assessment (LCIA). We argued that both risk assessment and LCIA are needed to consider the impacts of increasing insulation for single-family homes in the US from current practice to the levels recommended by the 2000 International Energy Conservation Codes. In this analysis, we apply our model to the insulation case study and evaluate the benefits and costs of increased insulation for new housing. Results and Discussion The central estimate of impacts from the complete insulation manufacturing supply chain is approximately 14 premature deaths, 400 asthma attacks, and 7000 restricted activity days nationwide for one year of increased fiberglass output. Of the health impacts associated with increased insulation manufacturing, 83% is attributable to the supply chain emissions from the mineral wool industry, which is mostly associated with the direct primary PM2.5 emissions from the industry (98%). Reduced energy consumption leads to 1.2 premature deaths, 33 asthma attacks, and 600 restricted activity days avoided per year, indicating a public health “payback period” on the order of 11 years. Over 90% of these benefits were associated with direct emissions from power plants and residential combustion sources. In total, the net present value of economic benefits over a 50-year period for a single-year cohort of new homes is $190 million with a 5% discount rate, with 49 fewer premature deaths in this period. Conclusion Recommendation and Outlook. We have developed and applied a risk-based model to quantify the public health costs and benefits of increased insulation in new single-family homes in the US, demonstrating positive net economic and public health benefits within the lifetimes of the homes. More broadly, we demonstrated that it is feasible to incorporate exposure and risk concepts into I-O LCA, relying on regression-based intake fractions followed by more refined dispersion modeling. The refinement step is recommended especially if primary PM2.5 is an important source of exposure and if stack heights are relatively low. Where secondary PM2.5 is more important, use of regression-based intake fractions would be sufficient for a reasonable risk approximation. Uncertainties in our risk-based model should be carefully considered; nevertheless, our study can help decision-makers evaluate the costs and benefits of demand-side management policy options from a combined public health and life cycle perspective.     

Role of Endocrinologists In Eliminating Health Care Disparities

ObjectiveTo review some of the persistent disparities in health and health care in the United States related to race, ethnicity, and socioeconomic status, with a focus on diabetes mellitus and obesity, and to discuss the role of endocrinologists in preventing these disparities.MethodsSome of the efforts made by the US government, such as public health strategies, to address health disparities are outlined, and statistics about diabetes and obesity are presented.ResultsThe elimination of health disparities, recognized as a national challenge for decades, is a national priority as defined in the national goals for Healthy People 2010. Health disparities refer to the differences in the quality of health and health care access and outcomes across racial, ethnic, and socioeconomic groups. Such disparities may be related to the patient (education, socioeconomic status, environment, language), the health care system (location, structural barriers, financial resources), or the provider, including a lack of diversity in the health care workforce. Endocrinologists are responsible for the care of many patients with chronic diseases, including obesity and diabetes mellitus. Both of these chronic diseases are diagnosed with increased frequency in minority populations and are preventable, difficult to manage, and associated with many complications and high health care costs.ConclusionThe role of endocrinologists is to provide equitable, affordable, accessible, high-quality, timely, cost-effective, and culturally sensitive health care. They must be involved in population health decisions and development of optimal health care policy so that endocrine disorders can ultimately be prevented. In addition, they must educate themselves, their patients, and the community regarding maintenance of healthy lifestyles to prevent complications. (Endocr Pract. 2009;15:612-623)     

Personalised Medicine: A Critique on the Future of Health Care

In recent years we have seen the emergence of “personalised medicine.” This development can be seen as the logical product of reductionism in medical science in which disease is increasingly understood in molecular terms. Personalised medicine has flourished as a consequence of the application of neoliberal principles to health care, whereby a commercial and social need for personalised medicine has been created. More specifically, personalised medicine benefits from the ongoing commercialisation of the body and of genetic knowledge, the idea that health is defined by genetics, and the emphasis the state places on individual citizens as being “responsible for” their own health. In this paper I critique the emergence of personalised medicine by examining the ways in which it has already impacted upon health and health care delivery.     

Pitfalls in health communication: healthcare policy, institution, structure, and process

The state of health communication for a given population is a function of several tiers of structure and process: government policy, healthcare directives, healthcare structure and process, and the ethnosocial realities of a multicultural society. Common yet specific to these tiers of health communication is the interpersonal and intergroup use of language in all its forms. Language is the most common behavior exhibited by humankind. Its use at all tiers determines quality of healthcare and quality of life for healthcare consumers: patients and their families. Of note, at the consumer end, mounting evidence demonstrates that barriers to health communication contribute to poorer access to care, quality of care, and health outcomes. The lack of comprehensible and usable written and spoken language is a major barrier to health communication targeting primary and secondary disease prevention and is a major contributor to the misuse of healthcare, patient noncompliance, rising healthcare costs. In this paper, we cursorily examine the relationship among government policy, institutional directives, and healthcare structure and process and its influence on the public health, especially vulnerable populations. We conclude that limited health communication in the context of changing healthcare environments and diverse populations is an important underpinning of rising healthcare costs and sustained health disparities. More research is needed to improve communication about health at all tiers and to develop health communication interventions that are usable by all population groups.     

Explaining Mental Health Treatment Disparities: Ethnic and Cultural Differences in Family Involvement

In a large, representative sample of persons receiving public mental health treatment, we examined whether ethnic minority consumers were more likely than white consumers to live with their families and to receive family support. We then evaluated whether differences observed in family involvement explained treatment disparities observed in outpatient and inpatient mental health services. Results indicated that Asian American and Latino consumers, especially, were considerably more likely than white consumers to live with family members and to receive family support. Ethnocultural differences in living with family did explain treatment intensity disparities whether or not consumers described themselves as dependent on family support. The results support the hypothesis that cultural differences in family involvement and support play a role in explaining mental health treatment disparities.     

Social Factors Influencing Child Health in Ghana

Objectives

Social factors have profound effects on health. Children are especially vulnerable to social influences, particularly in their early years. Adverse social exposures in childhood can lead to chronic disorders later in life. Here, we sought to identify and evaluate the impact of social factors on child health in Ghana. As Ghana is unlikely to achieve the Millennium Development Goals’ target of reducing child mortality by two-thirds between 1990 and 2015, we deemed it necessary to identify social determinants that might have contributed to the non-realisation of this goal.

Methods

ScienceDirect, PubMed, MEDLINE via EBSCO and Google Scholar were searched for published articles reporting on the influence of social factors on child health in Ghana. After screening the 98 articles identified, 34 of them that met our inclusion criteria were selected for qualitative review.

Results

Major social factors influencing child health in the country include maternal education, rural-urban disparities (place of residence), family income (wealth/poverty) and high dependency (multiparousity). These factors are associated with child mortality, nutritional status of children, completion of immunisation programmes, health-seeking behaviour and hygiene practices.

Conclusions

Several social factors influence child health outcomes in Ghana. Developing more effective responses to these social determinants would require sustainable efforts from all stakeholders including the Government, healthcare providers and families. We recommend the development of interventions that would support families through direct social support initiatives aimed at alleviating poverty and inequality, and indirect approaches targeted at eliminating the dependence of poor health outcomes on social factors. Importantly, the expansion of quality free education interventions to improve would-be-mother’s health knowledge is emphasised.     

Ethnicity and Child Health in Northern Tanzania: Maasai Pastoralists Are Disadvantaged Compared to Neighbouring Ethnic Groups

The Maasai of northern Tanzania, a semi-nomadic ethnic group predominantly reliant on pastoralism, face a number of challenges anticipated to have negative impacts on child health, including marginalisation, vulnerabilities to drought, substandard service provision and on-going land grabbing conflicts. Yet, stemming from a lack of appropriate national survey data, no large-scale comparative study of Maasai child health has been conducted. Savannas Forever Tanzania surveyed the health of over 3500 children from 56 villages in northern Tanzania between 2009 and 2011. The major ethnic groups sampled were the Maasai, Sukuma, Rangi, and the Meru. Using multilevel regression we compare each ethnic group on the basis of (i) measurements of child health, including anthropometric indicators of nutritional status and self-reported incidence of disease; and (ii) important proximate determinants of child health, including food insecurity, diet, breastfeeding behaviour and vaccination coverage. We then (iii) contrast households among the Maasai by the extent to which subsistence is reliant on livestock herding. Measures of both child nutritional status and disease confirm that the Maasai are substantially disadvantaged compared to neighbouring ethnic groups, Meru are relatively advantaged, and Rangi and Sukuma intermediate in most comparisons. However, Maasai children were less likely to report malaria and worm infections. Food insecurity was high throughout the study site, but particularly severe for the Maasai, and reflected in lower dietary intake of carbohydrate-rich staple foods, and fruits and vegetables. Breastfeeding was extended in the Maasai, despite higher reported consumption of cow''s milk, a potential weaning food. Vaccination coverage was lowest in Maasai and Sukuma. Maasai who rely primarily on livestock herding showed signs of further disadvantage compared to Maasai relying primarily on agriculture. We discuss the potential ecological, socioeconomic, demographic and cultural factors responsible for these differences and the implications for population health research and policy.