Context matters: How to research vaccine attitudes and uptake after the COVID-19 crisis

The pandemic dramatically accelerated research on vaccine attitudes and uptake, a field which mobilizes researchers from the social sciences and humanities as well as biomedical and public health disciplines. The field has the potential to contribute much more, but the growth in research and the deeper connections between disciplines brings challenges as well as opportunities. This perspective article assesses the recent development of the field, exploring progress whilst emphasizing that not enough attention has been paid to national and local contexts. This lack of contextual attention limits the progress of research and hinders our capacity to learn from the COVID-19 crisis. We suggest three concrete responses: building and recognizing new publishing formats for reporting and synthesizing studies at a country level; establishing country-level interdisciplinary networks to connect research and praxis; and strengthening international comparative survey work by enhancing the focus on local contextual factors.

Impact of health information seeking behavior and digital health literacy on self-perceived health and depression symptoms among older adults in the United States

BACKGROUND

Understanding the impact of digital health literacy and health information-seeking behavior on the self-perceived health and depression symptoms of older adults is crucial, particularly as the number of older internet users is increasing.

METHODS

This study utilized data from the Health Information National Trends Survey to examine the relationship between these factors and the health outcomes of adults aged 50 and above.

RESULTS

The study found that digital health literacy has a positive but non-significant relationship with self-perceived health when other factors are considered. However, education level and body mass index consistently predicted self-perceived health. Moreover, higher digital health literacy was associated with a reduced likelihood of perceived depression symptoms, even after adjusting for demographic and health-related factors.

CONCLUSIONS

These findings highlight the importance of digital health literacy in the mental well-being of older adults and provide insights for shaping future health policies and interventions.

Theorizing epidemiology, the stories bodies tell, and embodied truths: a status update on contending 21st c CE epidemiological theories of disease distribution

This critical review considers the status of 21st-century epidemiological theories of disease distribution, updating to 2024 prior analyses published up through 2014, and discusses the implications of these theories for research, practice, and pedagogy. Three key trends stand out: (a) the continued dominance of individualistic biomedical and lifestyle theories; (b) growth and elaboration of social epidemiological alternatives; and (c) the ongoing inattention to epidemiologic theories of disease distribution in the training of epidemiologists and public health professionals and in current efforts to improve the rigor of epidemiological research and causal inference. In a context of growing global political polarization, climate crisis, broader environmental and ecological crises, and stubbornly persistent health inequities within and between nations, producing actionable knowledge relevant to improving the people's health and advancing health justice will require much greater engagement with social epidemiologic theories of disease distribution in research, pedagogy, and practice. At issue is critically engaging with the embodied truths manifested in the stories bodies tell in population patterns of health, disease, and well-being.

Map of epigenetic age acceleration: A worldwide analysis

We present a systematic analysis of epigenetic age acceleration based on by far the largest collection of publicly available DNA methylation data for healthy samples (93 datasets, 23 K samples), focusing on the geographic (25 countries) and ethnic (31 ethnicities) aspects around the world. We employed the most popular epigenetic tools for assessing age acceleration and examined their quality metrics and ability to extrapolate to epigenetic data from different tissue types and age ranges different from the training data of these models. In most cases, the models proved to be inconsistent with each other and showed different signs of age acceleration, with the PhenoAge model tending to systematically underestimate and different versions of the GrimAge model tending to systematically overestimate the age prediction of healthy subjects. Referring to data availability and consistency, most countries and populations are still not represented in GEO, moreover, different datasets use different criteria for determining healthy controls. Because of this, it is difficult to fully isolate the contribution of "geography/environment", "ethnicity" and "healthiness" to epigenetic age acceleration. Among the explored metrics, only the DunedinPACE, which measures aging rate, appears to adequately reflect the standard of living and socioeconomic indicators in countries, although it has a limited application to blood methylation data only. Invariably, by epigenetic age acceleration, males age faster than females in most of the studied countries and populations.

Precarious work on the rise

Precarious employment (PE) is non-standard employment with uncertain and unstable contract duration, low wages, and limited labour protections and rights. Research has associated PE with workers' poor mental health and well-being; however, this association has been studied primarily using quantitative methods. This qualitative study seeks to examine the mechanisms between PE and mental health in the context of the COVID-19 pandemic in Ontario, Canada. Specifically, it aims to address: (Benach J, Muntaner C. Precarious employment and health: developing a research agenda. J Epidemiol Community Health. 2007;61(4):276.) How do PE and working conditions impact the mental well-being of workers and members of their close families or households?; and (Kreshpaj B, Orellana C, Burström B, Davis L, Hemmingsson T, Johansson G, et al. What is precarious employment? A systematic review of definitions and operationalizations from quantitative and qualitative studies. Scand J Work Environ Health. 2020;46(3):235-47.) How has the COVID-19 pandemic shaped these relationships? Semi-structured interviews were conducted with a sample of 40 individuals aged 25-55 engaged in PE during the first wave of the COVID-19 pandemic or whose employment was terminated due to the pandemic. Results showed that PE amplified mental health symptoms and illnesses for workers and their families. These experiences were described as chronic, where impacts were exerted on precariously employed workers through systemic discrimination and racism, colonialism, workplace hierarchies, and gendered ideologies. PE negatively impacted mental health through emotional stress about employment and income instability, insecurity, and loss; added pressure for households where both partners are engaged in PE; impacted ability to maintain or improve overall health and well-being; and barriers to social connectedness. Overall, this study characterizes multiple dimensions of PE and the consequences they have on the mental health of workers and their families.

Life-course influences of poverty on violence and homicide: 30-year Brazilian birth cohort study

BACKGROUND

Homicide is the leading cause of death among young people in Latin America, one of the world's most violent regions. Poverty is widely considered a key cause of violence, but theories suggest different effects of poverty, depending on when it is experienced in the life-course. Longitudinal studies of violence are scarce in Latin America, and very few prospective data are available worldwide to test different life-course influences on homicide.

METHODS

In a prospective birth cohort study following 5914 children born in southern Brazil, we examined the role of poverty at birth, in early childhood, and in early adulthood on violence and homicide perpetration, in criminal records up to age 30 years. A novel Structured Life Course Modelling Approach was used to test competing life-course hypotheses about 'sensitive periods', 'accumulation of risk', and 'downward mobility' regarding the influence of poverty on violence and homicide.

RESULTS

Cumulative poverty and poverty in early adulthood were the most important influences on violence and homicide perpetration. This supports the hypothesis that early adulthood is a sensitive period for the influence of poverty on lethal and non-lethal violence. Results were replicable using different definitions of poverty and an alternative outcome of self-reported fights.

CONCLUSION

Cumulative poverty from childhood to adulthood was an important driver of violence and homicide in this population. However, poverty experienced in early adulthood was especially influential, suggesting the importance of proximal mechanisms for violence in this context, such as unemployment, organized crime, drug trafficking, and ineffective policing and justice systems.

County-level political group density, partisan polarization, and individual-level mortality among adults in the United States: A lagged multilevel study

Objective

To investigate the associations between county-level political group density, partisan polarization, and individual-level mortality from all causes and from coronary heart disease (CHD) in the United States.

Methods

Using data from five survey waves (1998-2006) of the General Social Survey-National Death Index dataset and the County Presidential Election Return 2000 dataset, we fit weighted Cox proportional hazards models to estimate the associations between (1) political group density and (2) partisan polarization measured at the county level in 2000 (n = 313 counties) categorized into quartiles with individual-level mortality (n = 14,983 participants) from all causes and CHD, controlling for individual- and county-level factors. Maximum follow-up was from one year after the survey up until 2014. We conducted these analyses using two separate measures based on county-level vote share differences and party affiliation ideological extremes.

Results

In the overall sample, we found no evidence of associations between county-level political group density and individual-level mortality from all causes. There was evidence of a 13% higher risk of dying from heart disease in the highest quartile of county-level polarization (hazards ratio, HR = 1.13; 95% CI = 0.74-1.71). We observed heterogeneity of effects based on individual-level political affiliation. Among those identifying as Democrats, residing in counties with high (vs. low) levels of polarization appeared to be protective against mortality, with an associated 18% lower risk of dying from all causes (HR = 0.82, 95% CI = 0.71-0.94). This association was strongest in areas with the highest concentrations of Democrats.

Conclusions

Among all study participants, political group density and polarization at the county level in 2000 were not linked to individual-level mortality. At the same time, we found that Democratic party affiliation may be protective against the adverse effects of high polarization, particularly in counties with high concentrations of Democrats. Future research should further explore these associations to potentially identify new structural interventions to address political determinants of population health.

Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina

BACKGROUND

The COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions.

AIM

To describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods.

METHODS

We conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators.

RESULTS

Median COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96).

CONCLUSION

We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.

Impact of Neighborhood Deprivation on Aging Sexual Minority People's Depression: Results from the CANUE and CLSA data

As the aging population grows across the world, exploring the impact of social environment on minority populations' aging and well-being would be an essential step towards building an inclusive society. Using the Canadian Longitudinal Study on Aging (CLSA) and Canadian Urban Environmental Health Research Consortium (CANUE) data, the study investigated the relationship between deprivation and depression level in aging sexual minority people to examine how neighborhood level social and material deprivation influence mental health. 48,792 survey respondents were included in our analyses and the average age was 62.9. The study had 47,792 heterosexual, 760 gay/lesbian, and 240 bisexual individuals (23,977 men and 24,815 women). Regression analyses were conducted while controlling for age in each model. Results revealed that neighborhood material deprivation has a significant impact on mental health outcomes of aging lesbian women and bisexual men. The study provides an opportunity for intervention considerations for materially deprived neighborhoods to serve the aging sexual minority people residing in such areas.

Impact of Neighborhood on Cardiovascular Health: A Contemporary Narrative Review

PURPOSE OF REVIEW

This review summarizes approaches towards neighborhood characterization in relation to cardiovascular health; contemporary investigations relating neighborhood factors to cardiovascular risk and disease; and initiatives to support community-based interventions to address neighborhood-based social determinants related to cardiovascular health.

RECENT FINDINGS

Neighborhoods may be characterized by Census-derived measures, geospatial data, historical databases, and metrics that incorporate data from electronic medical records and health information exchange databases. Current research has examined neighborhood determinants spanning racial segregation, access to healthcare and food, educational opportunities, physical and built environment, and social environment, and their relations to cardiovascular health and associated outcomes. Community-based interventions have potential to alleviate health disparities but remain limited by implementation challenges. Consideration of neighborhood context is essential in the design of interventions to prevent cardiovascular disease (CVD) and promote health equity. Partnership with community stakeholders may enhance implementation of programs addressing neighborhood-based health determinants.

Pathways from climate change to emotional wellbeing: A qualitative study of Kenyan smallholder farmers living with HIV

Climate change is associated with adverse mental and emotional health outcomes. Social and economic factors are well-known drivers of mental health, yet comparatively few studies examine the social and economic pathways through which climate change affects mental health. There is additionally a lack of research on climate change and mental health in sub-Saharan Africa. This qualitative study aimed to identify potential social and economic pathways through which climate change impacts mental and emotional wellbeing, focusing on a vulnerable population of Kenyan smallholder farmers living with HIV. We conducted in-depth, semi-structured interviews with forty participants to explore their experience of climate change. We used a thematic analytical approach. We find that among our study population of Kenyan smallholder farmers living with HIV, climate change is significantly affecting mental and emotional wellbeing. Respondents universally report some level of climate impact on emotional health including high degrees of stress; fear and concern about the future; and sadness, worry, and anxiety from losing one's home, farm, occupation, or ability to support their family. Climate-related economic insecurity is a main driver of emotional distress. Widespread economic insecurity disrupts systems of communal and family support, which is an additional driver of worsening mental and emotional health. Our study finds that individual adaptive strategies used by farmers in the face of economic and social volatility can deepen economic insecurity and are likely insufficient to protect mental health. Finally, we find that agricultural policies can worsen economic insecurity and other mental health risk factors. Our proposed conceptual model of economic and social pathways relevant for mental health can inform future studies of vulnerable populations and inform health system and policy responses to protect health in a changing climate.

Epigenetic clocks and research implications of the lack of data on whom they have been developed: a review of reported and missing sociodemographic characteristics

Epigenetic clocks are increasingly being used as a tool to assess the impact of a wide variety of phenotypes and exposures on healthy ageing, with a recent focus on social determinants of health. However, little attention has been paid to the sociodemographic characteristics of participants on whom these clocks have been based. Participant characteristics are important because sociodemographic and socioeconomic factors are known to be associated with both DNA methylation variation and healthy ageing. It is also well known that machine learning algorithms have the potential to exacerbate health inequities through the use of unrepresentative samples - prediction models may underperform in social groups that were poorly represented in the training data used to construct the model. To address this gap in the literature, we conducted a review of the sociodemographic characteristics of the participants whose data were used to construct 13 commonly used epigenetic clocks. We found that although some of the epigenetic clocks were created utilizing data provided by individuals from different ages, sexes/genders, and racialized groups, sociodemographic characteristics are generally poorly reported. Reported information is limited by inadequate conceptualization of the social dimensions and exposure implications of gender and racialized inequality, and socioeconomic data are infrequently reported. It is important for future work to ensure clear reporting of tangible data on the sociodemographic and socioeconomic characteristics of all the participants in the study to ensure that other researchers can make informed judgements about the appropriateness of the model for their study population.

Invited Commentary: Some Social Epidemiologic Lessons From the COVID-19 Pandemic

In their recent article, Dimitris et al. (Am J Epidemiol. 2022;191(6):980-986) presented a series of challenges modern epidemiology has faced during the coronavirus disease 2019 (COVID-19) pandemic, including challenges around the scientific progress, epidemiologic methods, interventions, equity, team science, and training needed to address these issues. Here, 2 social epidemiologists who have been working on COVID-19 inequities reflect on further lessons with an added year of perspective. We focus on 2 key challenges: 1) dominant biomedical individualistic narratives around the production of population health, and 2) the role of profit in policy-making. We articulate a need to consider social epidemiologic approaches, including acknowledging the importance of considering how societal systems lead to health inequities. To address these challenges, future (and current) epidemiologists should be trained in theories of population health distribution and political structures of governance. Last, we close with the need for better investment in public health infrastructure as a crucial step toward achieving population health equity.

Beyond Neighborhood Disadvantage: Local Resources, Green Space, Pollution, and Crime as Residential Community Correlates of Cardiovascular Risk and Brain Morphology in Midlife Adults

OBJECTIVE

Residing in communities characterized by socioeconomic disadvantage confers risk of cardiometabolic diseases. Residing in disadvantaged communities may also confer the risk of neurodegenerative brain changes via cardiometabolic pathways. This study tested whether features of communities-apart from conventional socioeconomic characteristics-relate not only to cardiometabolic risk but also to relative tissue reductions in the cerebral cortex and hippocampus.

METHODS

Participants were 699 adults aged 30 to 54 years (340 women; 22.5% non-White) whose addresses were geocoded to compute community indicators of socioeconomic disadvantage, as well as air and toxic chemical pollutant exposures, homicide rates, concentration of employment opportunities, land use (green space), and availability of supermarkets and local resources. Participants also underwent assessments of cortical and hippocampal volumes and cardiometabolic risk factors (adiposity, blood pressure, fasting glucose, and lipids).

RESULTS

Multilevel structural equation modeling demonstrated that cardiometabolic risk was associated with community disadvantage ( β = 0.10, 95% confidence interval [CI] = 0.01 to 0.18), as well as chemical pollution ( β = 0.11, 95% CI = 0.02 to 0.19), homicide rates ( β = 0.10, 95% CI = 0.01 to 0.18), employment opportunities ( β = -0.16, 95% CI = -0.27 to -0.04), and green space ( β = -0.12, 95% CI = -0.20 to -0.04). Moreover, cardiometabolic risk indirectly mediated the associations of several of these community features and brain tissue volumes. Some associations were nonlinear, and none were explained by participants' individual-level socioeconomic characteristics.

CONCLUSIONS

Features of communities other than conventional indicators of socioeconomic disadvantage may represent nonredundant correlates of cardiometabolic risk and brain tissue morphology in midlife.

Social deprivation and SARS-CoV-2 testing: a population-based analysis in a highly contrasted southern France region

Background

Testing was the cornerstone of the COVID-19 epidemic response in most countries until vaccination became available for the general population. Social inequalities generally affect access to healthcare and health behaviors, and COVID-19 was rapidly shown to impact deprived population more drastically. In support of the regional health agency in Provence-Alpes-Côte d'Azur (PACA) in South-Eastern France, we analyzed the relationship between testing rate and socio-demographic characteristics of the population, to identify gaps in testing coverage and improve targeting of response strategies.

Methods

We conducted an ecological analysis of SARS-CoV-2/COVID-19 testing rate in the PACA region, based on data aggregated at the finest spatial resolution available in France (IRIS) and by periods defined by public health implemented measures and major epidemiological changes. Using general census data, population density, and specific deprivation indices, we used principal component analysis followed by hierarchical clustering to define profiles describing local socio-demographic characteristics. We analyzed the association between these profiles and testing rates in a generalized additive multilevel model, adjusting for access to healthcare, presence of a retirement home, and the age profile of the population.

Results

We identified 6 socio-demographic profiles across the 2,306 analyzed IRIS spatial units: privileged, remote, intermediate, downtown, deprived, and very deprived (ordered by increasing social deprivation index). Profiles also ranged from rural (remote) to high density urban areas (downtown, very deprived). From July 2020 to December 2021, we analyzed SARS-CoV-2/COVID-19 testing rate over 10 periods. Testing rates fluctuated strongly but were highest in privileged and downtown areas, and lowest in very deprived ones. The lowest adjusted testing rate ratios (aTRR) between privileged (reference) and other profiles occurred after implementation of a mandatory healthpass for many leisure activities in July 2021. Periods of contextual testing near Christmas displayed the largest aTRR, especially during the last periods of 2021 after the end of free convenience testing for unvaccinated individuals.

Conclusion

We characterized in-depth local heterogeneity and temporal trends in testing rates and identified areas and circumstances associated with low testing rates, which the regional health agency targeted specifically for the deployment of health mediation activities.

Exercise facility availability and incidence of type 2 diabetes and complications in Spain: A population-based retrospective cohort 2015-2018

BACKGROUND

To study the association between exercise facility availability and type 2 diabetes incidence and its complications, and to explore effect modification by socioeconomic status (SES) and sex in the Madrid adult population.

METHODS

A multilevel longitudinal design, based on a population-based retrospective cohort including 1,214,281 residents of Madrid (Spain) aged 40-75 years from 2015 to 2018. Outcomes were type 2 diabetes incidence and macrovascular (cardiac ischemia and/or stroke) and microvascular (chronic kidney disease, retinopathy, and/or peripheral vascular disease) complications in those with diabetes at baseline. Exercise facility availability was defined as the count of exercise facilities in a 1000 m street network buffer around each participant's residence. Poisson regression models with robust standard errors were used to estimate the risk ratios (RR). Interactions were explored with SES tertiles and by sex.

RESULTS

Residents living in areas with lower exercise facility availability showed higher risk of type 2 diabetes (RR_tertile3vs1 = 1.25, CI95% 1.21-1.30) as well as macrovascular (RR_Tertile3vs1 = 1.09 CI95% 1.00-1.19), and microvascular (RR_Tertile3vs1 = 1.10 CI95% 1.01-1.19) complications. Associations were strongest in low SES areas for type 2 diabetes (RR_{tertile3vs1-LOW-SES} = 1.22, CI95% 1.12-1.32; RR_{tertile3vs1-HIGH-SES} = 0.91, CI95% 0.85-0.98) and microvascular complications (RR_{tertile3vs1-LOW-SES} = 1.12, CI95% 0,94-1,33; RR_{tertile3vs1-HIGH-SES} = 0.88, CI95% 0.73-1.05).

CONCLUSIONS

Living in areas with lower availability of exercise facilities was associated with a greater risk of type 2 diabetes and its complications. Increasing exercise opportunities, particularly in low SES areas, could help reduce the social gradient of diabetes and its complications.

Embedded racism: Inequitable niche construction as a neglected evolutionary process affecting health

Racial health disparities are a pervasive feature of modern experience and structural racism is increasingly recognized as a public health crisis. Yet evolutionary medicine has not adequately addressed the racialization of health and disease, particularly the systematic embedding of social biases in biological processes leading to disparate health outcomes delineated by socially defined race. In contrast to the sheer dominance of medical publications which still assume genetic 'race' and omit mention of its social construction, we present an alternative biological framework of racialized health. We explore the unifying evolutionary-ecological principle of niche construction as it offers critical insights on internal and external biological and behavioral feedback processes environments at every level of the organization. We Integrate insights of niche construction theory in the context of human evolutionary and social history and phenotype-genotype modification, exposing the extent to which racism is an evolutionary mismatch underlying inequitable disparities in disease. We then apply ecological models of niche exclusion and exploitation to institutional and interpersonal racial constructions of population and individual health and demonstrate how discriminatory processes of health and harm apply to evolutionarily relevant disease classes and life-history processes in which socially defined race is poorly understood and evaluated. Ultimately, we call for evolutionary and biomedical scholars to recognize the salience of racism as a pathogenic process biasing health outcomes studied across disciplines and to redress the neglect of focus on research and application related to this crucial issue.

Promoting the health of vulnerable populations: Three steps towards a systems-based re-orientation of public health intervention research

This paper proposes a novel framework for the development of interventions in vulnerable populations. The framework combines a complex systems lens with syndemic theory. Whereas funding bodies, research organizations and reporting guidelines tend to encourage intervention research that (i) focuses on singular and predefined health outcomes, (ii) searches for generalizable cause-effect relationships, and (iii) aims to identify universally effective interventions, the paper suggests that a different direction is needed for addressing health inequities: We need to (i) start with exploratory analysis of population-level data, and (ii) invest in contextualized in-depth knowledge of the complex dynamics that produce health inequities in specific populations and settings, while we (iii) work with stakeholders at multiple levels to create change within systems.

Structural racism theory, measurement, and methods: A scoping review

Introduction

Epidemiologic and public health interest in structural racism has grown dramatically, producing both increasingly sophisticated questions, methods, and findings, coupled with concerns of atheoretical and ahistorical approaches that often leave the actual production of health or disease ambiguous. This trajectory raises concerns as investigators adopt the term "structural racism" without engaging with theories and scholars with a long history in this area. This scoping review aims to build upon recent work by identifying current themes about the incorporation of structural racism into (social) epidemiologic research and practice with respect to theory, measurement, and practices and methods for trainees and public health researchers who are not already deeply grounded in this work.

Methods

This review uses methodological framework and includes peer-review articles written in English published between January 2000-August 2022.

Results

A search of Google Scholar, manual collection, and referenced lists identified a total of 235 articles; 138 met the inclusion criteria after duplicates were removed. Results were extracted by, and organized into, three broad sections: theory, construct measurement, and study practice and methods, with several themes summarized in each section.

Discussion

This review concludes with a summary of recommendations derived from our scoping review and a call to action echoing previous literature to resist an uncritical and superficial adoption of "structural racism" without attention to already existing scholarship and recommendations put forth by experts in the field.

Epidemiology and the Covid-19 pandemic: opportunities to review trajectories and plan for the future

The Covid-19 pandemic has caused substantial changes in various spheres of academic life. Epidemiology can use the experiences accumulated in this period as an opportunity to plan for its future. Facing a pandemic requires the production of explanatory theories about the pandemic process and its unequal manifestation in the population. In this sense, Epidemiology needs to strengthen its scientific foundations and recognize the values and limits of its approaches. Thus, it is essential to strengthen the links with other disciplines. A new teaching model can be produced from pandemic experiences, including transversal contents, such as preparation for responses to natural and technological disasters, like epidemics and pandemics, and scientific communication. The teaching of Epidemiology needs to be contextualized with the bases of Collective Health, reinforcing its commitment to the translation and application of knowledge in order to improve people’s health and lives.

Epidemiologia e pandemia de Covid-19: oportunidades para rever trajetórias e planejar o futuro

A pandemia de Covid-19 provocou modificações substanciais em diversas esferas da vida acadêmica. A Epidemiologia pode utilizar as experiências acumuladas nesse período como oportunidade para planejar seu futuro. O enfrentamento de uma pandemia exige a produção de teorias explicativas sobre o processo pandêmico e sua expressão desigual na população. Nesse sentido, a Epidemiologia necessita fortalecer seus fundamentos científicos e reconhecer os valores e limites de suas abordagens. Nesse caminho, é essencial o fortalecimento dos elos com outras disciplinas. Um novo modelo de ensino pode ser produzido por meio das experiências ao longo da pandemia, integrando conteúdos transversais, como a preparação para a resposta a desastres naturais e de origem tecnológica, incluindo epidemias e pandemias e a comunicação científica. O ensino da Epidemiologia precisa ser contextualizado com as bases da Saúde Coletiva, reforçando seu compromisso com a tradução e a aplicação do conhecimento para a melhoria da saúde e da vida das pessoas.

Considering multiple governance levels in epidemiologic analysis of public policies

Epidemiology is increasingly asking questions about the use of policies to address structural inequities and intervene on health disparities and public health challenges. However, there has been limited explicit consideration of governance structures in the design of epidemiologic policy analysis. To advance empirical and theoretical inquiry in this space, we propose a model of governance analysis in which public health researchers consider at what level 1) decision-making authority for policy sits, 2) policy is implemented, 3) and accountability for policy effects appear. We follow with examples of how these considerations might improve the evaluation of the policy drivers of population health. Consideration and integration of multiple levels of governance, as well as interactions between levels, can help epidemiologists design studies including new opportunities for quasi-experimental designs and stronger counterfactuals, better quantify the policy drivers of inequities, and aid research evidence and policy development work in targeting multiple levels of governance, ultimately supporting evidence-based policy making.

Public Health Decision Making in the Case of the Use of a Nuclear Weapon

The current geopolitical situation and the war on Ukraine's territory generate questions about the possible use of a nuclear weapon and create the need to refresh emergency protective plans for the population. Ensuring the protection of public health is a national responsibility, but the problem is of international size and global scale. Radiological or nuclear disasters need suitable decision making at the right time, which determine large effective radiation protection activities to ensure public health is protected, reduce fatalities, radiation disease, and other effects. In this study, a simulation of a single nuclear weapon detonation with an explosion yield of 0.3 and 1 Mt was applied for a hypothetical location, to indicate the required decision making and the need to trigger protocols for the protection of the population. The simulated explosion was located in a city center, in a European country, for the estimation of the size of the effects of the explosion and its consequences for public health. Based on the simulation results and knowledge obtained from historical nuclear events, practical suggestions, discussion, a review of the recommendations was conducted, exacerbated by the time constraints of a public health emergency. Making science-based decisions should encompass clear procedures with specific activities triggered immediately based on confirmed information, acquired from active or/and passive warning systems and radiometric specific analysis provided by authorized laboratories. This study has the potential to support the preparedness of decision makers in the event of a disaster or crisis-related emergency for population health management and summarizes the strengths and weaknesses of the current ability to respond.

Effects of intergenerational contact on social capital in community-dwelling adults aged 25–84 years: a non-randomized community-based intervention

Background

Accumulating social capital in urban areas is essential to improve community health. Previous studies suggested that intergenerational contact may be effective for enhancing social capital. However, no study has examined the effect of intergenerational contact on social capital through a population-based evaluation. This study aimed to investigate the effects of a community-based intervention to increase the frequency of intergenerational contact on social capital among adults aged 25–84 years.

Methods

This study used a non-randomized controlled trial design to conduct a community-based intervention (from March 2016 to March 2019). The study area was Tama ward, Kawasaki city, Kanagawa, Japan. The area comprises five districts; one district was assigned as the intervention group and the other four districts as the control group. We provided the intervention to residents in the intervention group. The intervention comprised three phases: Phase 1 was the preparation term (organizing the project committee); Phase 2 was the implementation term (trained volunteer staff members, conducted the intergenerational greeting campaign, and held intergenerational contact events); and Phase 3 was the transition term (surrendering the lead role of the project to the city hall field workers). In the control group, field workers provided public health services as usual. We conducted mail surveys in September 2016 and November 2018 to assess the effects of the intervention on social capital during Phase 2. Eligible participants were randomly selected from community-dwelling adults aged 25–84 years according to age (10,620 control group individuals and 4479 intervention group individuals). We evaluated social trust, norm of reciprocity, and social support as outcome variables.

Results

In total, 2518 participants completed both surveys and were analyzed (control group: 1727; intervention group: 791). We found that social trust (coefficient = 0.065; 95% confidence interval [CI]: 0.006, 0.125) and norm of reciprocity (coefficient = 0.084; 95% CI: 0.020, 0.149) positively changed in the intervention group compared with the control group.

Conclusions

This community-based intervention may contribute to sustaining and improving social capital among community-dwelling adults.

Trial registration: UMIN000046769 (UMIN-CTR); first registered on January 28, 2022 (retrospectively registered).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14205-6.

Examining health risk behaviors of self-employed and employed workers in Japan: a cross-sectional study

OBJECTIVES

Self-employed workers have a higher risk for adverse health outcomes than employed workers. However, the differences in health risk behaviors by employment status are largely unknown. This study examined differences in health risk behaviors between self-employed and employed (permanent/non-permanent) workers by sex and age (20-59 years, 60-79 years).

STUDY DESIGN

This was a cross-sectional study involving community-dwelling adults living in urban cities in Japan.

METHODS

In 2019, we conducted a mail survey in Wako city, Saitama, and Fuchu city, Tokyo. In total, 30,315 adults aged ≥18 years were randomly selected, and 14,185 completed the survey (response rate: 46.8%). The participants for analysis were 8538 workers. Health risk behaviors included physical inactivity (<150 min/wk of moderate-to-vigorous physical activity), prolonged sitting (>480 min/d), high-frequency drinking (≥3 d/wk), tobacco use (current smoker), and overweight (body mass index ≥ 25 kg/m²). We also calculated the total number of health risk behaviors.

RESULTS

Self-employed workers had more health risk behaviors than permanent and non-permanent employees, with this difference more significant among younger males. In younger males, compared with self-employment, permanent employment was associated with less tobacco use, and non-permanent employment was associated with less physical inactivity, prolonged sitting, high-frequency drinking, and overweight. In younger females, non-permanent employment was associated with less prolonged sitting and overweight than self-employment. In older males and females, the prevalence of physical inactivity was lower in non-permanent employed than in self-employed workers.

CONCLUSIONS

Promoting health behaviors among self-employed may be beneficial for reducing health inequalities between self-employed and employed workers.