Tools for local health in all policies implementation: evidence from an explanatory case study of Kuopio, Finland.

AIMS: This paper describes the use of three governance tools for health in all policies utilised to facilitate implementation in the municipality of Kuopio, Finland: impact assessments, a city mandate (the Kuopio strategy), and shared budgets. METHODS: An explanatory case study was used. Data sources included semistructured interviews with 10 government employees and scholarly literature. Realist scientific methods were used to reveal mechanisms underlying the use of tools in health in all policies. RESULTS: Strong evidence was found supporting initial and new theory/hypotheses regarding the use of each tool in achieving positive implementation outcomes. Impact assessments facilitated health in all policies by enhancing understanding of health implications. The Kuopio strategy aided in implementation by giving credence to health in all policies work via formal authority. Shared budgets promoted intersectoral discussions and understanding, and a sense of ownership, in addition to allowing time to be spent on health in all policies work and not financial deliberation. CONCLUSIONS: Findings confirm the efficacious use of three governance tools in implementing health in all policies in Kuopio. Knowledge and evidence-based guidelines on local health in all policies implementation are needed as this policy approach continues to be recognised and adopted as a means to promote population health and health equity.

How and why buy-in for health in all policies was facilitated in Ecuador: a realist case study of Plan Nacional para el Buen Vivir.

BACKGROUND: In 2008, Ecuador introduced Plan Nacional para el Buen Vivir (PNBV; National Plan for Good Living), which was widely recognized as a promising example of Health in All Policies (HiAP) due to the integration of policy sectors on health and health equity objectives. PBNV was implemented through three successive plans (2009-2013, 2013-2017, 2017-2021). In a time of widening global health inequities, there is growing interest in understanding how politics and governance shape HiAP implementation. The objective of this study was to test specific hypotheses about how, why, to what extent, and under what circumstances HiAP was implemented in Ecuador. METHODS: An explanatory case study approach (HiAP Analysis using Realist Methods on International Case Studies-HARMONICS) was used to understand the processes that hindered or facilitated HiAP implementation. Realist methods and systems theory were employed to test hypotheses through analysis of empirical and grey literature, and 19 key informant interviews. This case study focused on processes related to buy-in for a HiAP approach by diverse policy sectors, particularly in relation to the strong mandate and transformative governance approach that were introduced by then-President Rafael Correa's administration to support PNBV. RESULTS: The mandate and governance approach of the HiAP approach achieved buy-in for implementation across diverse sectors. Support for the hypotheses was found through direct evidence about buy-in for HiAP implementation by policy sectors; and indirect evidence about allocation of governmental resources for HiAP implementation. Key mechanisms identified included: influence of political elites; challenges in dealing with political opposition and 'siloed' ways of thinking; and the role of strategies and resources in motivating buy-in. CONCLUSION: In Ecuador, political elites were a catalyst for mechanisms that impacted buy-in and government funding for HiAP implementation. They raised awareness among policy sectors initially opposed to PNBV about the rationale for changing governance practices, and they provided financial resources to support efforts related to PNBV. Specific mechanisms help explain these phenomena further. Future studies should examine ways that PNBV may have been an impediment to health equity for some marginalized groups while strengthening HiAP implementation.

Experiences of everyday racism in Toronto's health care system: a concept mapping study.

BACKGROUND: In Canada, there is longstanding evidence of health inequities for racialized groups. The purpose of this study is to understand the effect of current health care policies and practices on racial/ethnic groups and in particular racialized groups at the level of the individual in Toronto's health care system. METHODS: This study used a semi-qualitative study design: concept mapping. A purposive sampling strategy was used to recruit participants. Health care users and health care providers from Toronto and the Greater Toronto Area participated in all four concept mapping activities. The sample sizes varied according to the activity. For the rating activity, 41 racialized health care users, 23 non-racialized health care users and 11 health care providers completed this activity. The data analysis was completed using the concept systems software. RESULTS: Participants generated 35 unique statements of ways in which patients feel disrespect or mistreatment when receiving health care. These statements were grouped into five clusters: 'Racial/ethnic and class discrimination', 'Dehumanizing the patient', 'Negligent communication', 'Professional misconduct', and 'Unequal access to health and health services'. Two distinct conceptual regions were identified: 'Viewed as inferior' and 'Unequal medical access'. From the rating activity, racialized health care users reported 'race'/ethnic based discrimination or everyday racism as largely contributing to the challenges experienced when receiving health care; statements rated high for action/change include 'when the health care provider does not complete a proper assessment', 'when the patient's symptoms are ignored or not taken seriously', 'and 'when the health care provider belittles or talks down to the patient'. CONCLUSIONS: Our study identifies how racialized health care users experience everyday racism when receiving health care and this is important to consider in the development of future research and interventions aimed at addressing institutional racism in the health care setting. To support the elimination of institutional racism, anti-racist policies are needed to move beyond cultural competence polices and towards addressing the centrality of unequal power social relations and everyday racism in the health care system.

How and why do win-win strategies work in engaging policy-makers to implement Health in All Policies? A multiple-case study of six state- and national-level governments.

BACKGROUND: Much of the research about Health in All Policies (HiAP) implementation is descriptive, and there have been calls for more evaluative evidence to explain how and why successes and failures have occurred. In this cross-case study of six state- and national-level governments (California, Ecuador, Finland, Norway, Scotland and Thailand), we tested hypotheses about win-win strategies for engaging policy-makers in HiAP implementation drawing on components identified in our previous systems framework. METHODS: We used two sources of data - key informant interviews and peer-reviewed and grey literature. Using a protocol, we created context-mechanism-outcome pattern configurations to articulate mechanisms that explain how win-win strategies work and fail in different contexts. We then applied our evidence for all cases to the systems framework. We assessed the quality of evidence within and across cases in terms of triangulation of sources and strength of evidence. We also strengthened hypothesis testing using replication logic. RESULTS: We found robust evidence for two mechanisms about how and why win-win strategies build partnerships for HiAP implementation - the use of shared language and the value of multiple outcomes. Within our cases, the triangulation was strong, both hypotheses were supported by literal and contrast replications, and there was no support against them. For the third mechanism studied, using the public-health arguments win-win strategy, we only found evidence from Finland. Based on our systems framework, we expected that the most important system components to using win-win strategies are sectoral objectives, and we found empirical support for this prediction. CONCLUSIONS: We conclude that two mechanisms about how and why win-win strategies build partnerships for HiAP implementation - the use of shared language and the value of multiple outcomes - were found as relevant to the six settings. Both of these mechanisms trigger a process of developing synergies and releasing potentialities among different government sectors and these interactions between sectors often work through sectoral objectives. These mechanisms should be considered when designing future HiAP initiatives and their implementation to enhance the emergence of non-health sector policy-makers' engagement.

Implementation of Health 2015 public health program in Finland: a welfare state in transition.

Our study sought to examine the implementation of Health 2015 [a public health programme prepared following the principles of Health in All Policies (HiAP)] between 2001 and 2015 in the context of welfare state restructuring. We used data from the realist multiple explanatory case study by HARMONICS, which focused on political factors (processes) that lead to the (un)successful implementation of programmes following the principles of HiAP. We analyzed data-key informant interviews, grey and scholarly literature-from our Finnish case to examine how Health 2015 implementation has been affected by the changing role of the state. We find that the dismantling of formal funding allocation decreased the capacity of national authorities to exert control over municipalities' health promotion work, diluting the financial arrangements regarding municipal obligations. As a result, most municipalities failed to contribute to Health 2015, resulting in losses for health promotion activities. Our results also point to joining the EU. Whereas the procedures for preparing Finland's unanimous positions on EU matters were useful in harmonizing ideologies on various policy issues between different ministries, joining the EU also increased commercial interests and the strength of the lobby system, leading to the prioritization of economic objectives over public health objectives. Finally, our informants also highlighted the changing relationship between the state and the market, manifested in market deregulation and increasing influence of pro-growth arguments during the implementation of Health 2015.

The implementation of Health in All Policies initiatives: a systems framework for government action.

BACKGROUND: There has been a renewed interest in broadening the research agenda in health promotion to include action on the structural determinants of health, including a focus on the implementation of Health in All Policies (HiAP). Governments that use HiAP face the challenge of instituting governance structures and processes to facilitate policy coordination in an evidence-informed manner. Due to the complexity of government institutions and the policy process, systems theory has been proposed as a tool for evaluating the implementation of HiAP. METHODS: Our multiple case study research programme (HiAP Analysis using Realist Methods On International Case Studies - HARMONICS) has relied on systems theory and realist methods to make sense of how and why the practices of policy-makers (including politicians and civil servants) from specific institutional environments (policy sectors) has either facilitated or hindered the implementation of HiAP. Herein, we present a systems framework for the implementation of HiAP based on our experience and empirical findings in studying this process. RESULTS: We describe a system of 14 components within three subsystems of government. Subsystems include the executive (heads of state and their appointed political elites), intersectoral (the milieu of policy-makers and experts working with governance structures related to HiAP) and intrasectoral (policy-makers within policy sectors). Here, HiAP implementation is a process involving interactions between subsystems and their components that leads to the emergence of implementation outcomes, as well as effects on the system components themselves. We also describe the influence of extra-governmental systems, including (but not limited to) the academic sector, third sector, private sector and intergovernmental sector. Finally, we present a case study that applies this framework to understand the implementation of HiAP - the Health 2015 Strategy - in Finland, from 2001 onward. CONCLUSIONS: This framework is useful for helping to explain how, why and under what circumstances HiAP has been successfully and unsuccessfully implemented in a sustainable manner. It serves as a tool for researchers to study this process, and for policy-makers and other public health actors to manage this process.

Addressing health inequities in Ontario, Canada: what solutions do the public support?

BACKGROUND: As public opinion is an important part of the health equity policy agenda, it is important to assess public opinion around potential policy interventions to address health inequities. We report on public opinion in Ontario about health equity interventions that address the social determinants of health. We also examine Ontarians' support and predictors for targeted health equity interventions versus universal interventions. METHODS: We surveyed 2,006 adult Ontarians through a telephone survey using random digit dialing. Descriptive statistics assessed Ontarians' support for various health equity solutions, and a multinomial logistic regression model was built to examine predictors of this support across specific targeted and broader health equity interventions focused on nutrition, welfare, and housing. RESULTS: There appears to be mixed opinions among Ontarians regarding the importance of addressing health inequities and related solutions. Nevertheless, Ontarians were willing to support a wide range of interventions to address health inequities. The three most supported interventions were more subsidized nutritious food for children (89%), encouraging more volunteers in the community (89%), and more healthcare treatment programs (85%). Respondents who attributed health inequities to the plight of the poor were generally more likely to support both targeted and broader health equity interventions, than neither type. Political affiliation was a strong predictor of support with expected patterns, with left-leaning voters more likely to support both targeted and broader health equity interventions, and right-leaning voters less likely to support both types of interventions. CONCLUSIONS: Findings indicate that the Ontario public is more supportive of targeted health equity interventions, but that attributions of inequities and political affiliation are important predictors of support. The Ontario public may be accepting of messaging around health inequities and the social determinants of health depending on how the message is framed (e.g., plight of the poor vs. privilege of the rich). These findings may be instructive for advocates looking to raise awareness of health inequities.

Economic considerations and health in all policies initiatives: evidence from interviews with key informants in Sweden, Quebec and South Australia.

BACKGROUND: Health in All Policies (HiAP) is a form of intersectoral action that aims to include the promotion of health in government initiatives across sectors. To date, there has been little study of economic considerations within the implementation of HiAP. METHODS: As part of an ongoing program of research on the implementation of HiAP around the world, we examined how economic considerations influence the implementation of HiAP. By economic considerations we mean the cost and financial gain (or loss) of implementing a HiAP process or structure within government, or the cost and financial gain (or loss) of the policies that emerge from such a HiAP process or structure. We examined three jurisdictions: Sweden, Quebec and South Australia. Semi-structured telephone interviews were conducted with 12 to 14 key informants in each jurisdiction. Two investigators separately coded transcripts to identify relevant statements. RESULTS: Initial readings of transcripts led to the development of a coding framework for statements related to economic considerations. First, economic evaluations of HiAP are viewed as important for prompting HiAP and many forms of economic evaluation were considered. However, economic evaluations were often absent, informal, or incomplete. Second, funding for HiAP initiatives is important, but is less important than a high-level commitment to intersectoral collaboration. Furthermore, having multiple sources of funding of HiAP can be beneficial, if it increases participation across government, but can also be disadvantageous, if it exposes underlying tensions. Third, HiAP can also highlight the challenge of achieving both economic and social objectives. CONCLUSIONS: Our results are useful for elaborating propositions for use in realist multiple explanatory case studies. First, we propose that economic considerations are currently used primarily as a method by health sectors to promote and legitimize HiAP to non-health sectors with the goal of securing resources for HiAP. Second, allocating resources and making funding decisions regarding HiAP are inherently political acts that reflect tensions within government sectors. This study contributes important insights into how intersectoral action works, how economic evaluations of HiAP might be structured, and how economic considerations can be used to both promote HiAP and to present barriers to implementation.

Magnitude of income-related disparities in adverse perinatal outcomes.

BACKGROUND: To assess and compare multiple measurements of socioeconomic position (SEP) in order to determine the relationship with adverse perinatal outcomes across various contexts. METHODS: A birth registry, the Nova Scotia Atlee Perinatal Database, was confidentially linked to income tax and related information for the year in which delivery occurred. Multiple logistic regression was used to examine odds ratios between multiple indicators of SEP and multiple adverse perinatal outcomes in 117734 singleton births between 1988 and 2003. Models for after tax family income were also adjusted for neighborhood deprivation to gauge the relative magnitude of effects related to SEP at both levels. Effects of SEP were stratified by single- versus multiple-parent family composition, and by urban versus rural location of residence. RESULTS: The risk of small for gestational age and spontaneous preterm birth was higher across all the indicators of lower SEP, while risk for large for gestational age was lower across indicators of lower SEP. Higher risk of postneonatal death was demonstrated for several measures of lower SEP. Higher material deprivation in the neighborhood of residence was associated with increased risk for perinatal death, small for gestational age birth, and iatrogenic and spontaneous preterm birth. Family composition and urbanicity were shown to modify the association between income and some perinatal outcomes. CONCLUSIONS: This study highlights the importance of understanding the definitions of SEP and the mechanisms that lead to the association between income and poor perinatal outcomes, and broadening the types of SEP measures used in some cases.

Effects of socioeconomic position and clinical risk factors on spontaneous and iatrogenic preterm birth.

BACKGROUND: The literature shows a variable and inconsistent relationship between socioeconomic position and preterm birth. We examined risk factors for spontaneous and iatrogenic preterm birth, with a focus on socioeconomic position and clinical risk factors, in order to explain the observed inconsistency. METHODS: We carried out a retrospective population-based cohort study of all singleton deliveries in Nova Scotia from 1988 to 2003. Data were obtained from the Nova Scotia Atlee Perinatal Database and the federal income tax T1 Family Files. Separate logistic models were used to quantify the association between socioeconomic position, clinical risk factors and spontaneous preterm birth and iatrogenic preterm birth. RESULTS: The study population included 132,714 singleton deliveries and the rate of preterm birth was 5.5%. Preterm birth rates were significantly higher among the women in the lowest (versus the highest) family income group for spontaneous (rate ratio 1.14, 95% confidence interval (CI) 1.03, 1.25) but not iatrogenic preterm birth (rate ratio 0.95, 95% CI 0.75, 1.19). Adjustment for maternal characteristics attenuated the family income-spontaneous preterm birth relationship but strengthened the relationship with iatrogenic preterm birth. Clinical risk factors such as hypertension were differentially associated with spontaneous (rate ratio 3.92, 95% CI 3.47, 4.44) and iatrogenic preterm (rate ratio 14.1, 95% CI 11.4, 17.4) but factors such as diabetes mellitus were not (rate ratio 4.38, 95% CI 3.21, 5.99 for spontaneous and 4.02, 95% CI 2.07, 7.80 for iatrogenic preterm birth). CONCLUSIONS: Socioeconomic position and clinical risk factors have different effects on spontaneous and iatrogenic preterm. Recent temporal increases in iatrogenic preterm birth appear to be responsible for the inconsistent relationship between socioeconomic position and preterm birth.

Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis.

BACKGROUND: Contextual variables that capture the characteristics of delimited geographic or jurisdictional areas are vital for health and social research. However, obtaining data sets with contextual-level data can be challenging in the absence of monitoring systems or public census data. OBJECTIVE: We describe and implement an 8-step method that combines web scraping, text mining, and spatial overlay analysis (WeTMS) to transform extensive text data from government websites into analyzable data sets containing contextual data for jurisdictional areas. METHODS: This tutorial describes the method and provides resources for its application by health and social researchers. We used this method to create data sets of health assets aimed at enhancing older adults' social connections (eg, activities and resources such as walking groups and senior clubs) across the 374 health jurisdictions in Catalonia from 2015 to 2022. These assets are registered on a web-based government platform by local stakeholders from various health and nonhealth organizations as part of a national public health program. Steps 1 to 3 involved defining the variables of interest, identifying data sources, and using Python to extract information from 50,000 websites linked to the platform. Steps 4 to 6 comprised preprocessing the scraped text, defining new variables to classify health assets based on social connection constructs, analyzing word frequencies in titles and descriptions of the assets, creating topic-specific dictionaries, implementing a rule-based classifier in R, and verifying the results. Steps 7 and 8 integrate the spatial overlay analysis to determine the geographic location of each asset. We conducted a descriptive analysis of the data sets to report the characteristics of the assets identified and the patterns of asset registrations across areas. RESULTS: We identified and extracted data from 17,305 websites describing health assets. The titles and descriptions of the activities and resources contained 12,560 and 7301 unique words, respectively. After applying our classifier and spatial analysis algorithm, we generated 2 data sets containing 9546 health assets (5022 activities and 4524 resources) with the potential to enhance social connections among older adults. Stakeholders from 318 health jurisdictions registered identified assets on the platform between July 2015 and December 2022. The agreement rate between the classification algorithm and verified data sets ranged from 62.02% to 99.47% across variables. Leisure and skill development activities were the most prevalent (1844/5022, 36.72%). Leisure and cultural associations, such as social clubs for older adults, were the most common resources (878/4524, 19.41%). Health asset registration varied across areas, ranging between 0 and 263 activities and 0 and 265 resources. CONCLUSIONS: The sequential use of WeTMS offers a robust method for generating data sets containing contextual-level variables from internet text data. This study can guide health and social researchers in efficiently generating ready-to-analyze data sets containing contextual variables.

Sociodemographic data collection for health equity measurement: a mixed methods study examining public opinions.

Monitoring inequalities in healthcare is increasingly being recognized as a key first step in providing equitable access to quality care. However, the detailed sociodemographic data that are necessary for monitoring are currently not routinely collected from patients in many jurisdictions. We undertook a mixed methods study to generate a more in-depth understanding of public opinion on the collection of patient sociodemographic information in healthcare settings for equity monitoring purposes in Ontario, Canada. The study included a provincial survey of 1,306 Ontarians, and in-depth interviews with a sample of 34 individuals. Forty percent of survey participants disagreed that it was important for information to be collected in healthcare settings for equity monitoring. While there was a high level of support for the collection of language, a relatively large proportion of survey participants felt uncomfortable disclosing household income (67%), sexual orientation (40%) and educational background (38%). Variation in perceived importance and comfort with the collection of various types of information was observed among different survey participant subgroups. Many in-depth interview participants were also unsure of the importance of the collection of sociodemographic information in healthcare settings and expressed concerns related to potential discrimination and misuse of this information. Study findings highlight that there is considerable concern regarding disclosure of such information in healthcare settings among Ontarians and a lack of awareness of its purpose that may impede future collection of such information. These issues point to the need for increased education for the public on the purpose of sociodemographic data collection as a strategy to address this problem, and the use of data collection strategies that reduce discomfort with disclosure in healthcare settings.

The Role of Social Media in Building Pandemic Resilience in an Urban Community: A Qualitative Case Study.

This paper explores the influence of social media in fostering resilience within an urban spatial context, specifically in Bangalore, India, during the COVID-19 lockdown, a period marked by a surge in digital communication due to movement restrictions. To control the rapid spread of the virus, over 1.38 billion people were given stay-at-home orders by the government of India during the onset of the pandemic. The restrictions in movement forced individuals to shift to online modes of connection and communication. As the field of digital epidemiology, that is, the use of digital tools and data to understand and improve health took center stage during the pandemic, the focus shifted towards the social media landscape, which is often associated with its negative aspects, such as misinformation. However, this paper delves into social media's potential to build resilience on a local scale, particularly given its increased usage during the pandemic. Through in-depth online interviews with eight urban residents, we conducted a thematic analysis to understand social media's role during the lockdown. Results indicate that social media facilitated effective information exchange and fostered a sense of community. Furthermore, it engendered an environment conducive to prosocial behavior, a known resilience amplifier. We also highlight the importance of baseline context regarding the users directly engaged in social media data generation with respect to digital epidemiology analytics tools for large-scale social media data and the need for qualitative input feeding into their design. Our study highlights the need for a balanced perspective on social media use in times of crisis, recognizing its potential to boost community resilience in an urban setting, and further enriching digital epidemiology approaches.

Sustainable Smart Cities-Social Media Platforms and Their Role in Community Neighborhood Resilience-A Systematic Review.

The COVID-19 pandemic took most communities off guard and has highlighted gaps in community preparedness and resilience in spite of the numerous technological advancements and the variety of available social media platforms that many relied on during lockdown periods. This served to emphasise the necessity for exploring the roles of social media and smart city technologies in mitigating pandemic impacts. In this systematic literature review, we examined twelve articles on social media usage and smart city technologies and their contributions to community resilience during COVID-19. The analysis focused on the use of social media platforms and smart city technologies during and after lockdown periods, examining their role in fostering community resilience. Results indicate that social media and smart city technologies were instrumental in helping communities adapt and recover from the pandemic. While past studies have examined community resilience, social media, or smart cities separately, there is limited literature collating insights on the three elements combined. We therefore argue that these technologies, employed collaboratively, enhance community resilience during crises. Nevertheless, further research is recommended, particularly on urban resilience and comparative analyses to deepen our understanding of the complex interplay between these variables.

Public awareness of income-related health inequalities in Ontario, Canada.

INTRODUCTION: Continued action is needed to tackle health inequalities in Canada, as those of lower income continue to be at higher risk for a range of negative health outcomes. There is arguably a lack of political will to implement policy change in this respect. As a result, we investigated public awareness of income-related health inequalities in a generally representative sample of Ontarians in late 2010. METHODS: Data were collected from 2,006 Ontario adults using a telephone survey. The survey asked participants to agree or disagree with various statements asserting that there are or are not health inequalities in general and by income in Ontario, including questions pertaining to nine specific conditions for which inequalities have been described in Ontario. A multi-stage process using binary logistic regression determined whether awareness of health inequalities differed between participant subgroups. RESULTS: Almost 73% of this sample of Ontarians agreed with the general premise that not all people are equally healthy in Ontario, but fewer participants were aware of health inequalities between the rich and the poor (53%-64%, depending on the framing of the question). Awareness of income-related inequalities in specific outcomes was considerably lower, ranging from 18% for accidents to 35% for obesity. CONCLUSIONS: This is the first province-wide study in Canada, and the first in Ontario, to explore public awareness on health inequalities. Given that political will is shaped by public awareness and opinion, these results suggest that greater awareness may be required to move the health equity agenda forward in Ontario. There is a need for health equity advocates, physicians and researchers to increase the effectiveness of knowledge translation activities for studies that identify and explore health inequalities.

Parental stress increases the detrimental effect of traffic exposure on children's lung function.

RATIONALE: Emerging evidence indicates that psychosocial stress enhances the effect of traffic exposure on the development of asthma. OBJECTIVES: We hypothesized that psychosocial stress would also modify the effect of traffic exposure on lung function deficits. METHODS: We studied 1,399 participants in the Southern California Children's Health Study undergoing lung function testing (mean age, 11.2 yr). We used hierarchical mixed models to assess the joint effect of traffic-related air pollution and stress on lung function. MEASUREMENTS AND MAIN RESULTS: Psychosocial stress in each child's household was assessed based on parental response to the perceived stress scale (range, 0-16) at study entry. Exposures to nitric oxide, nitrogen dioxide, and total oxides of nitrogen (NOx), surrogates of the traffic-related pollution mixture, were estimated at schools and residences based on a land-use regression model. Among children from high-stress households (parental perceived stress scale > 4) deficits in FEV1 of 4.5 (95% confidence interval, -6.5 to -2.4) and of 2.8% (-5.7 to 0.3) were associated with each 21.8 ppb increase in NOx at homes and schools, respectively. These pollutant effects were significantly larger in the high-stress compared with lower-stress households (interaction P value 0.007 and 0.05 for residential and school NOx, respectively). No significant NOx effects were observed in children from low-stress households. A similar pattern of association was observed for FVC. The observed associations for FEV1 and FVC remained after adjusting for sociodemographic factors and after restricting the analysis to children who do not have asthma. CONCLUSIONS: A high-stress home environment is associated with increased susceptibility to lung function effects of air pollution both at home and at school.

Parental stress increases the effect of traffic-related air pollution on childhood asthma incidence.

Exposure to traffic-related pollution (TRP) and tobacco smoke have been associated with new onset asthma in children. Psychosocial stress-related susceptibility has been proposed to explain social disparities in asthma. We investigated whether low socioeconomic status (SES) or high parental stress modified the effect of TRP and in utero tobacco smoke exposure on new onset asthma. We identified 2,497 children aged 5-9 years with no history of asthma or wheeze at study entry (2002-2003) into the Children's Health Study, a prospective cohort study in southern California. The primary outcome was parental report of doctor-diagnosed new onset asthma during 3 years of follow-up. Residential exposure to TRP was assessed using a line source dispersion model. Information about maternal smoking during pregnancy, parental education (a proxy for SES), and parental stress were collected in the study baseline questionnaire. The risk of asthma attributable to TRP was significantly higher for subjects with high parental stress (HR 1.51 across the interquartile range for TRP; 95% CI 1.16-1.96) than for subjects with low parental stress (HR 1.05, 95% CI 0.74-1.49; interaction P value 0.05). Stress also was associated with larger effects of in utero tobacco smoke. A similar pattern of increased risk of asthma was observed among children from low SES families who also were exposed to either TRP or in utero tobacco smoke. These results suggest that children from stressful households are more susceptible to the effects of TRP and in utero tobacco smoke on the development of asthma.

A Realist Explanatory Case Study Investigating How Common Goals, Leadership, and Committed Staff Facilitate Health in All Policies Implementation in the Municipality of Kuopio, Finland.

BACKGROUND: Health in All Policies (HiAP) encompasses collaboration across government and the consideration of health in various governmental sector's policies and decisions. Despite increasing advocacy, interest, and uptake in HiAP globally, empirical and evaluative studies are underrepresented in this growing literature, particularly literature on HiAP implementation at the local level. Finland has been a pioneer in and champion for HiAP. METHODS: A realist explanatory case study design was used to test hypotheses about how HiAP is implemented in Kuopio, Finland. Semi-structured interviews with ten government employees from various sectors were conducted. Data from interviews and literature were analyzed with the aims of uncovering explanatory mechanisms in the form of context-strategy-mechanism-outcome (CSMO) configurations related to implementation strategies. Evidence was evaluated for quality based on triangulation of sources and strength of evidence. We hypothesized that having or creating a common goal between sectors and having committed staff and local leadership would facilitate implementation. RESULTS: Strong evidence supports our hypothesis that having or creating a common goal can aid in positive implementation outcomes at the local level. Common goals can be created by the strategies of having a city mandate, engaging in cross-sectoral discussions, and/or by working together. Policy and political elite leadership led to HiAP implementation success because leaders supported HiAP work, thus providing justification for using time to work intersectorally. How and why the wellbeing committee facilitated implementation included by providing opportunities for discussion and learning, which led to understanding of how non-health decisions impact community wellbeing, and by acting as a conduit for the communication of wellbeing goals to government employees. CONCLUSION: At the municipal level, having or creating a common goal, leadership from policy and political elites, and the presence of committed staff can facilitate HiAP implementation. Inclusion of not only strategies for HiAP, but also the explanatory mechanisms, aids in elucidating how and why HiAP is successfully implemented in a local setting.

Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events.

The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research. We conclude that social media big data represent a valuable resource for mental health research, however, several methodological limitations and ethical concerns need to be addressed to ensure safe use.