Interventions to promote health literacy among working-age populations experiencing socioeconomic disadvantage: systematic review.

Background: Experiencing financial insecurity and being underserved is often associated with low health literacy, i.e., the ability to identify, obtain, interpret and act upon health information, which may result in poor health outcomes. Little is known about effective interventions for promoting health literacy among underserved populations. The objective of this systematic review is to summarize the literature on such interventions and identify characteristics that differentiate more effective interventions. Methods: Following PRISMA guidelines we searched the databases SCOPUS, Pubmed, Web of Science core collection and CINAHL. We included primary studies with a quantitative study design and control groups testing interventions to increase health literacy or health knowledge in underserved populations between 18 and 65 years. Where possible, we converted effect sizes into Cohen's d and compared mean differences of intervention and control groups. Albatross plots were created to summarize the results according to different health literacy and health knowledge outcomes. Results: We screened 3,696 titles and abstracts and 206 full texts. In total, 86 articles were analyzed, of which 55 were summarized in seven albatross plots. The majority of the studies (n = 55) were conducted in the United States and had a randomized controlled study design (n = 44). More effective intervention approaches assessed needs of participants through focus group discussions prior to conducting the intervention, used bilingual educational materials, and included professionals fluent in the first languages of the study population as intervention deliverers. Additionally, the use of educational materials in video and text form, fotonovelas and interactive group education sessions with role playing exercises were observed to be effective. Discussion: Although the outcomes addressed in the included studies were heterogeneous, effective intervention approaches were often culturally sensitive and developed tailored educational materials. Interventions aiming to promote health literacy in underserved populations should hence consider applying similar approaches.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=323801, PROSPERO registration ID: CRD42022323801.

Goal pursuit increases more after dietary success than after dietary failure: examining conflicting theories of self-regulation using ecological momentary assessment.

BACKGROUND: Maintaining a healthy body weight and reaching long-term dietary goals requires ongoing self-monitoring and behavioral adjustments. How individuals respond to successes and failures is described in models of self-regulation: while cybernetic models propose that failures lead to increased self-regulatory efforts and successes permit a reduction of such efforts, motivational models (e.g., social-cognitive theory) make opposite predictions. Here, we tested these conflicting models in an ecological momentary assessment (EMA) context and explored whether effort adjustments are related to inter-individual differences in perceived self-regulatory success in dieting (i.e., weight management). METHODS: Using linear mixed effects models, we tested in 174 diet-interested individuals whether current day dietary success or failure (e.g., on Monday) was followed by self-regulatory effort adjustment for the next day (e.g., on Tuesday) across 14 days. Success vs. failure was operationalized with two EMA items: first, whether food intake was higher vs. lower than usual and second, whether food intake was perceived as more vs. less goal-congruent than usual. Trait-level perceived self-regulatory success in dieting was measured on a questionnaire. RESULTS: Intended self-regulatory effort increased more strongly after days with dietary success (i.e., eating less than usual / rating intake as goal-congruent) than after days with dietary failure (i.e., eating more than usual / rating intake as goal-incongruent), especially in those individuals with lower scores on perceived self-regulatory success in dieting. CONCLUSIONS: Findings support mechanisms proposed by social-cognitive theory, especially in unsuccessful dieters. Thus, future dietary interventions could focus on preventing the decrease in self-regulatory effort after instances of dietary failures and thereby mitigate the potential risk that a single dietary failure initiates a downward spiral into unhealthy eating.

[Mis- and disinformation in social media: mitigating risks in digital health communication]. / Falsch- und Desinformation in sozialen Medien: Ansätze zur Minimierung von Risiken in digitaler Kommunikation über Gesundheit.

Misinformation and disinformation in social media have become a challenge for effective public health measures. Here, we examine factors that influence believing and sharing false information, both misinformation and disinformation, at individual, social, and contextual levels and discuss intervention possibilities.At the individual level, knowledge deficits, lack of skills, and emotional motivation have been associated with believing in false information. Lower health literacy, a conspiracy mindset and certain beliefs increase susceptibility to false information. At the social level, the credibility of information sources and social norms influence the sharing of false information. At the contextual level, emotions and the repetition of messages affect belief in and sharing of false information.Interventions at the individual level involve measures to improve knowledge and skills. At the social level, addressing social processes and social norms can reduce the sharing of false information. At the contextual level, regulatory approaches involving social networks is considered an important point of intervention.Social inequalities play an important role in the exposure to and processing of misinformation. It remains unclear to which degree the susceptibility to belief in and share misinformation is an individual characteristic and/or context dependent. Complex interventions are required that should take into account multiple influencing factors.

[Developments in the digitalization of public health since 2020 : Examples from the Leibniz ScienceCampus Digital Public Health Bremen]. / Entwicklungen in der Digitalisierung von Public Health seit 2020 : Beispiele aus dem Leibniz-WissenschaftsCampus Digital Public Health Bremen.

Digital public health has received a significant boost in recent years, especially due to the demands associated with the COVID-19 pandemic. In this report, we provide an overview of the developments in digitalization in the field of public health in Germany since 2020 and illustrate these with examples from the Leibniz ScienceCampus Digital Public Health Bremen (LSC DiPH).The following topics are central: How do digital survey methods as well as digital biomarkers and artificial intelligence methods shape modern epidemiology and prevention research? What is the status of digitalization in public health offices? Which approaches to health economics evaluation of digital public health interventions have been utilized so far? What is the status of training and further education in digital public health?The first years of the Leibniz ScienceCampus Digital Public Health Bremen (LSC DiPH) were also strongly influenced by the COVID-19 pandemic. Repeated population-based digital surveys of the LSC indicated an increase in use of health apps in the population, for example, in applications to support physical activity. The COVID-19-pandemic has also shown that the digitalization of public health enhances the risk of misinformation and disinformation.

COVID Protection Behaviors, Mental Health, Risk Perceptions, and Control Beliefs: A Dynamic Temporal Network Analysis of Daily Diary Data.

BACKGROUND: To control infections, behavioral non-pharmaceutical interventions (NPIs) such as social distancing and hygiene measures (masking, hand hygiene) were implemented widely during the COVID-19 pandemic. At the same time, adherence to NPIs has also been implied in an increase in mental health problems. However, the designs of many existing studies are often poorly suited to disentangle complex relationships between NPI adherence, mental health symptoms, and health-related cognitions (risk perceptions, control beliefs). PURPOSE: To separate between- and temporal within-person associations between mental health, health-related cognitions, and NPI adherence. METHODS: Six-month ecological momentary assessment (EMA) study with six 4-day assessment bouts in 397 German adults. Daily measurement of adherence, mental health symptoms, and cognitions during bouts. We used dynamic temporal network analysis to estimate between-person, as well as contemporaneous and lagged within-person effects for distancing and hygiene NPIs. RESULTS: Distinct network clusters of mental health, health cognitions, and adherence emerged. Participants with higher control beliefs and higher susceptibility were also more adherent (between-person perspective). Within-person, similar findings emerged, additionally, distancing and loneliness were associated. Lagged findings suggest that better adherence to NPIs was associated with better mental health on subsequent days, whereas higher loneliness was associated with better subsequent hygiene adherence. CONCLUSIONS: Findings suggest no negative impact of NPI adherence on mental health or vice versa, but instead suggest that adherence might improve mental health symptoms. Control beliefs and risk perceptions are important covariates of adherence-both on between-person and within-person level.

Adhering to COVID protective behaviors might be less detrimental for mental health than some previous claims: Over 6 months in 2021­2022, adults from Germany who adhered to COVID protection recommendations (mask-wearing, hand hygiene, social distancing) on any one day reported better mental health the following days.

Curb the spread: Leveraging intensive longitudinal data to unravel within- and between-person processes in adherence to nonpharmaceutical interventions during COVID-19.

OBJECTIVES: Adhering to behavioral recommendations and nonpharmaceutical interventions (NPIs) is a key to control COVID-19 infection rates. However, rates have decreased globally, and potentially modifiable determinants of ongoing adherence and their interaction with social and physical momentary environments are still poorly understood. Here, we comprehensively examine within-person variations and between-person differences in known behavioral determinants (capability and motivation), as well as the moderating role of situational variable environmental factors (opportunity) in predicting adherence to hygiene and social distancing behaviors. METHOD: Ecological momentary assessment study over 6 months with monthly assessment bouts (4 days each and five daily assessments) in 623 German adults. Repeated daily assessments of capability, opportunity, motivation, and behavior (COM-B) model factors. Bayesian multilevel logistic regression models were estimated to examine main effects of COM-B factors and moderating effects of momentary environmental factors. RESULTS: Momentary adherence to NPIs was predicted by within-person changes in COM-B factors (motivation: intentions, goal conflict, and control beliefs; opportunities: regulations and norms). Between-person differences in capabilities (habit strength) and motivation (intentions and control beliefs) predicted adherence across situations. Situation-specific environmental factors moderated the motivation-behavior association (regulation measures increased; goal conflict and nonadherent others decreased the association). CONCLUSIONS: Individual momentary (within-person) and stable (between-person) motivation indicators predicted adherence. However, situational environmental factors such as regulations or norms have strong main effects and moderate the motivation-behavior translation. These findings have policy implications, supporting recent claims to not rely on the narrative of "personal responsibility," but instead combine health education measures to increase individual motivation with consistent regulation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Perspectives on Healthy Eating of Adult Populations in High-Income Countries: A Qualitative Evidence Synthesis.

BACKGROUND: Understanding how individuals currently perceive healthy eating is essential for developing food policies and dietary recommendations that improve the health and well-being of populations. The purpose of this qualitative evidence synthesis was to systematically outline the views and understandings of healthy eating, focusing on how foods are classified as healthy and unhealthy and what meanings are attached to food and eating by the general adult population in high-income countries. METHODS: A systematic search of four electronic databases was conducted and yielded 24 relevant primary qualitative studies of generally healthy, community-dwelling adults. RESULTS: Thematic synthesis of the included studies identified three analytic themes: constructions of healthy and unhealthy eating, considerations on dietary recommendations, and meanings attached to food and eating. Study participants generally understood what constitutes a healthy and unhealthy diet which was in line with dietary recommendations, but those of lower socioeconomic status exhibited gaps in nutrition knowledge. Participants expressed diverse opinions on dietary recommendations, including skepticism and a lack of trust. Food and eating were associated with various meanings, including pleasure, stress relief, and feelings of guilt. Moral, health, and sociocultural considerations also played a role in dietary behaviors. CONCLUSIONS: The findings suggest that improving population diet requires considering how dietary recommendations are phrased and communicated to ensure that healthy eating is associated with pleasure and immediate well-being. This review provides valuable insights for developing consumer-oriented, practicable, and acceptable food policies and dietary recommendations that effectively improve population health and well-being.

Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies.

BACKGROUND: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet targeted social processes. Current approaches focus on increasing scrutiny, providing corrections to misinformation (debunking), or alerting users prospectively about future misinformation (prebunking and inoculation). Here, we provide a test of a complementary strategy that focuses on the social processes inherent in social media use, in particular, social reinforcement, social identity, and injunctive norms. OBJECTIVE: This study aimed to examine whether providing balanced social reference cues (ie, cues that provide information on users sharing and, more importantly, not sharing specific content) in addition to flagging COVID-19-related misinformation leads to reductions in sharing behavior and improvement in overall sharing quality. METHODS: A total of 3 field experiments were conducted on Twitter's native social media feed (via a newly developed browser extension). Participants' feed was augmented to include misleading and control information, resulting in 4 groups: no-information control, Twitter's own misinformation warning (misinformation flag), social cue only, and combined misinformation flag and social cue. We tracked the content shared or liked by participants. Participants were provided with social information by referencing either their personal network on Twitter or all Twitter users. RESULTS: A total of 1424 Twitter users participated in 3 studies (n=824, n=322, and n=278). Across all 3 studies, we found that social cues that reference users' personal network combined with a misinformation flag reduced the sharing of misleading but not control information and improved overall sharing quality. We show that this improvement could be driven by a change in injunctive social norms (study 2) but not social identity (study 3). CONCLUSIONS: Social reference cues combined with misinformation flags can significantly and meaningfully reduce the amount of COVID-19-related misinformation shared and improve overall sharing quality. They are a feasible and scalable way to effectively curb the sharing of COVID-19-related misinformation on social media.

A Pilot Randomised Trial Investigating the Effects of Including Efficacy Messaging on Tobacco Warning Labels.

INTRODUCTION: Smokers can respond defensively to health risk communication such as on-pack warning labels, potentially reducing their effectiveness. Theory suggests that risk perception together with self-efficacy reduces defensive responses and predicts target behaviors. Currently, tobacco warning labels globally predominantly target risk and do not explicitly consider efficacy. AIMS: This study explores the effectiveness of combining Australian tobacco warning labels with efficacy content to increase quitting intentions. METHODS: RCT in 83 smokers over 3 weeks. After a seven-day baseline phase (smoking from usual tobacco packaging), participants were randomized to one of two adhesive labels groups for the remaining 14 days: Standard health warning labels (HWLs) featuring enhanced efficacy messages (experimental group) or unmodified standard HWLs (control group). Participants attached these labels to their tobacco packaging and recorded their cognitions and smoking behavior once daily using Smartphones. Multilevel structural equation modeling was used to test theorized effects of the labels on self-efficacy, risk perception, and intentions to quit. RESULTS: There was no effect of exposure to efficacy messages on either self-efficacy, risk perceptions, or intentions to quit. However, self-efficacy and risk perceptions were positively associated with quitting intentions at the within-person level. CONCLUSIONS: The predictive relationships between self-efficacy, risk perception, and intention to quit were supported, however, supplementing standard warning labels with efficacy messages had no effect on these cognitions. Whether this is due to conditioned avoidance of HWLS, characteristics of the messages, or limitations imposed by format are unclear. IMPLICATIONS: Self-efficacy and risk perception predict intentions to quit smoking. Adding efficacy content to tobacco health warnings may have the potential to bolster these cognitions but more research is required to determine the contexts in which this would be effective and who would be likely to benefit. The time course by which exposure to efficacy content might influence cessation self-efficacy and downstream quitting intentions also needs to be investigated.

Education- and income-related differences in processed meat consumption across Europe: The role of food-related attitudes.

PURPOSE: Dietary behaviors differ between socio-economic groups and are one key determinant of health inequalities. Psychological factors such as attitudes are assumed to underlie the relation between inequality and dietary behaviors, but this assumption has rarely been tested empirically. We focus on a specific food group shown as detrimental to health: processed meat. METHODS: In two representative international surveys (Survey 1: N = 10,226 participants from nine European countries - Austria, France, Germany, Italy, Netherlands, Poland, Russia, Spain, UK; Survey 2: N = 9149 participants from the same countries, except not including Austria and the Netherlands), participants reported inequality indicators (education, income), processed meat consumption as well as their attitudes toward nutrition and food. PRINCIPAL RESULTS: There were diverging relationships between indicators of inequality and processed meat consumption: the higher the educational attainment, the lower the consumption of processed meat (rSurvey1 = -0.062, p < .001; rSurvey2 = -0.071, p < .001). At the same time, higher income was related to higher processed meat consumption (rSurvey1 = 0.088, p < .001; rSurvey2 = 0.152, p < .001). A path model showed that four of seven attitude factors mediated the relation between education and processed meat consumption (i.e., indifference toward nutrition and food, preference for regional and fresh food, processed food consumption, health efforts); none of the attitude factors mediated the relation between income and overall processed meat consumption. CONCLUSIONS: Processed meats are consumed very frequently across European countries. The relation between inequality and processed meat consumption is heterogeneous and partially mediated by attitudes. More research is needed to better understand how psychological factors explain social inequality in nutrition behaviors and health in general.

Intersectional analysis of inequalities in self-reported breast cancer screening attendance using supervised machine learning and PROGRESS-Plus framework.

Background: Breast cancer is a critical public health concern in Spain, and organized screening programs have been in place since the 1990s to reduce its incidence. However, despite the bi-annual invitation for breast cancer screening (BCS) for women aged 45-69, significant attendance inequalities persist among different population groups. This study employs a quantitative intersectional perspective to identify intersectional positions at risk of not undergoing breast cancer screening in Spain. Methods: Women were selected from the 2020 European Health Interview Survey in Spain, which surveyed the adult population (> 15 years old) living in private households (N = 22,072; 59% response rate). Inequality indicators based on the PROGRESS-Plus framework were used to disentangle existing social intersections. To identify intersectional groups, decision tree models, including classification and regression trees (CARTs), chi-squared automatic interaction detector (CHAID), conditional inference rees (CITs), and C5.0, along with an ensemble algorithm, extreme gradient boosting (XGBoost), were applied. Results: XGBoost (AUC 78.8%) identified regional differences (Autonomous Community) as the most important factor for classifying BCS attendance, followed by education, age, and marital status. The C5.0 model (balanced accuracy 81.1%) highlighted that the relative importance of individual characteristics, such as education, marital status, or age, for attendance differs based on women's place of residence and their degree of interaction. The highest risk of not attending BCS was observed among illiterate older women in lower social classes who were born in Spain, were residing in Asturias, Cantabria, Basque Country, Castile and León, Extremadura, Galicia, Madrid, Murcia, La Rioja, or Valencian Community, and were married, divorced, or widowed. Subsequently, the risk of not attending BCS extends to three other groups of women: women living in Ceuta and Melilla; single or legally separated women living in the rest of Spain; and women not born in Spain who were married, divorced, or widowed and not residing in Ceuta or Melilla. Conclusion: The combined use of decision trees and ensemble algorithms can be a valuable tool in identifying intersectional positions at a higher risk of not utilizing public resources and, thus, can aid substantially in developing targeted interventions to increase BCS attendance.

Socioeconomic differences in animal food consumption: Education rather than income makes a difference.

Background/aims: Evidence points toward more sustainable and health-conscious dietary behaviors among individuals with higher socioeconomic status. However, these differences vary considerably depending on which indicator of socioeconomic status is examined. Here, we present a systematic parallel investigation of multiple indicators of socioeconomic status as predictors of animal food consumption frequency and selected food-related behaviors in Germany. Methods: Data from the German subsample of two large representative European consumer studies (Study 1 n = 1,954; Study 2 n = 2,045) was used. We assessed the associations between the socioeconomic indicators income, current occupation as well as education and consumption frequency of animal foods and selected food-related behaviors in separate ordinal logistic regressions. Results: Individuals with higher educational attainment engaged in more sustainable and health-conscious dietary behaviors, indicated by significant associations between educational attainment and the consumption frequency of animal foods. Low- and middle-income participants consumed processed meat more frequently (Study 1 only; medium income: OR 1.5, CI 1.09-2.05, p = 0.012; low income: OR 1.43, CI 1.01-2.05, p = 0.047) and fish less frequently (Study 2 only; medium income: OR 0.76, CI 0.59-0.97, p = 0.026; low income: OR 0.061, CI 0.46-0.82, p < 0.001) than participants with high income. Current occupation did not predict the consumption of animal foods or food-related behaviors. Intake frequency of animal-based foods indicates that most participants exceeded national dietary recommendations for meat and processed meat and remained below recommendations for fish and dairy/eggs intake. Conclusion: Educational attainment appears to be the strongest and most consistent socioeconomic indicator of sustainable dietary choices in Germany based on current large, representative studies. Future efforts should be directed toward education interventions about nutrition and interpretation of food labels to compensate for differences in dietary behavior among groups with different levels of education.

The digital rainbow: Digital determinants of health inequities.

The widely used socioecological rainbow model from Dahlgren and Whitehead specifies determinants of health inequity on multiple hierarchical levels and suggests that these determinants may interact both within and between levels. At the time of its inception, digital determinants only played a minor role in tackling inequities in public health and were therefore not specifically considered. This has dramatically changed: From today's perspective, health inequities increasingly depend on digital determinants. In this article, we suggest adapting the Dahlgren-Whitehead model to reflect these developments. We propose a model that allows formulating testable hypotheses, interpreting research findings, and developing policy implications against the background of the global spread of digital technologies. This may facilitate the development of a new line of research and logic models for public health interventions in the digital age. Using the COVID-19 pandemic as a case study, we illustrate how the digitization of all aspects of life affects the different levels of determinants of health inequities in the Dahlgren-Whitehead model. In doing so, we deliberately argue for not introducing a separate digital sphere in its own right, but for understanding digitization as a phenomenon that permeates all levels of determinants of health inequities. As a result, we present a digital rainbow model that integrates Dahlgren and Whitehead's 1991 model with digital environments to identify current health promotion and research issues without changing the rainbow model's initial structure.

Modifiable predictors of health literacy in working-age adults - a rapid review and meta-analysis.

BACKGROUND: Health literacy comprises the ability to identify, obtain, interpret and act upon health information. Low health literacy is a major risk factor for hospitalizations, use of emergency care and premature mortality among others. Known risk factors for low health literacy such as lower educational attainment, migration history and chronic illnesses overlap with those for long-term unemployment - in itself a risk factor for low health literacy. These factors are difficult to address in interventions to support health literacy. Therefore, the objective of this review is to identify potentially modifiable predictors of HL in populations potentially affected by long-term unemployment. METHODS: A rapid review (PROSPERO registration number: 290873) was carried out in Pubmed and SCOPUS including quantitative studies on potentially modifiable predictors of health literacy in working-age populations following PRISMA guidelines for systematic reviews. Where possible, reported effect sizes were transformed into r, and random-effects meta-analyses were conducted where appropriate to pool effect sizes for the association between modifiable predictors and health literacy. RESULTS: In total, 4765 titles and abstracts were screened, 114 articles were assessed in full-text screening, and 54 were included in the review. Forty-one effect sizes were considered for 9 different meta-analyses. Higher language proficiency, higher frequency of internet use, using the internet as a source of health information more often, being more physically active, more oral health behaviours, watching more health-related TV and a good health status were significantly associated with higher health literacy. Significant heterogeneity suggests between-study differences. CONCLUSIONS: Improving language proficiency and/or providing information in multiple and simplified languages, together with reliable and accessible health information on the internet and in linear media are potentially promising targets to improve health literacy levels in working-age populations.

Regional Variations in Outpatient Antibiotic Prescribing in Germany: A Small Area Analysis Based on Claims Data.

A comprehensive small area description of regional variations in outpatient antibiotic prescribing in Germany is lacking. Using the German Pharmacoepidemiological Research Database (GePaRD), a claims database covering ~20% of the German population, we determined the age- and sex-standardized prescription rates of antibiotics (number of outpatient prescriptions per 1000 persons/year). We calculated these prescription rates overall and on the level of 401 German districts for the calendar years 2010 and 2018. In 2018, the standardized prescription rate of antibiotics in the total study population was 23% lower than in 2010 (442 vs. 575 per 1000 persons/year). Among 0-17-year-olds, prescription rates across districts ranged from 312 to 1205 in 2010 and from 188 to 710 in 2018 per 1000 persons/year; among adults (≥18 years), they ranged from 388 to 841 in 2010 and from 300 to 693 in 2018 per 1000 persons/year. Despite the overall decline in outpatient antibiotic prescribing between 2010 and 2018, regional variations at the district level remained high in all age groups in Germany. Identifying reasons that explain the persistently high prescription rates in certain regions will be helpful in designing effective and tailored measures to further improve antibiotic stewardship in these regions.

Intra-individual trajectories of subjectively prioritizing health over other life domains.

Subjectively prioritizing health over other life domains is an indicator of health motivation and is associated with higher levels of health behaviors and more effective health behavior self-regulation. However, little is known about when individuals prioritize health over other life domains and which factors predict prioritizing health. Here, we examine 3644 older adults in Germany (mean age 60.79) over a period of 6-9 years from DEAS, a population-representative survey. Latent growth curves were estimated to examine individual change in prioritizing health. Socio-structural (gender, educational attainment) and indicators of health status (baseline status and change in [a] number of illnesses, [b] functional health, and [c] self-rated health) were tested as predictors of changes in health prioritization. Participants prioritized health over other life domains, and this increased over time. Women and those with worse health status (lower functional and lower self-rated health) prioritized health more than men and those with better health status, respectively. Lower educational attainment was associated with higher increases in prioritizing health, and interactions between educational status and health indicators show that increases are larger in those with worse health and lower educational attainment. This indicates individual differences in the degree and the changes of prioritizing health.

The super wicked problem of ocean health: a socio-ecological and behavioural perspective.

We are dependent on our oceans for economic, health and social benefits; however, demands on our oceans are escalating, and the state of the oceans is deteriorating. Only 2% of countries are on track to achieve the desired outcomes for the sustainable development goal (SDG 14) for the oceans by 2030, and the changes needed to prevent further degradation, or limit the impact of existing degradation, are not being undertaken fast enough. This paper uses a socio-ecological lens to explore the nature of actors and behaviours for change at the local, community, state, national and international levels, and introduces the need for technology, information- and knowledge-sharing, and policy as interconnected mediators, that work both in concert, and independently, to address the 'super wicked' problem of ocean health and to promote resilience. We recommend the need to develop transformational teams and leaders, as well as transformative policies within a holistic and integrated system to ensure ocean health initiatives are greater than the sum of their parts and are actual, realistic, achievable and evidence-informed pathways to change. This article is part of the theme issue 'Nurturing resilient marine ecosystems'.

Measuring Environmental Justice in Real Time: A Pilot Study Using Digital Participatory Method in the Global South, Nepal.

Individuals' perceived fairness or justice beliefs are related to health in numerous ways. However, environment justice research to date has given little attention to perceived fairness of environmental exposures as experienced by individuals. This study explored the feasibility of a bottom-up digital participatory (via mobile phones) approach using ecological momentary assessment (EMA) to capture individuals' subjective experience of environmental exposures and the subjective evaluation of fairness by those affected in the context of Nepal. In total, 22 individuals participated in the study for 28 days. The results show high rates of study retention and adherence. Individuals' justice perception was found to vary within and between individuals, but also substantially depending on the types of environmental exposures. Nevertheless, the study indicates that uncertainties are inevitable as study design and timing may conflict participants' daily lives and priorities. The method allows us to consider multiple geographic contexts of individuals' everyday lives beyond residential environment. This pilot study proved the possibility to assess perceptions of environmental justice issues and demonstrated the necessary steps to using digital participatory method for assessing subjective perception of fairness of individuals.

Health Literacy Needs Among Unemployed Persons: Collating Evidence Through Triangulation of Interview and Scoping Review Data.

Background: Unemployed persons are at high risk for low health literacy. Most studies addressing health literacy of unemployed persons focus on risk factors for low health literacy or correlates of health literacy, but studies on needs of unemployed persons regarding health literacy are scarce. We aimed to obtain better understanding of health literacy needs of unemployed adults by triangulating the results from a scoping review on health literacy needs in unemployed adults and additional in-depth qualitative interviews. Methods: Scoping review: We searched six databases up to January 2021 as well as gray literature for relevant studies following PRISMA-ScR guidelines. Titles, abstracts, and full texts were screened independently by two researchers. Qualitative study: Ten participants of a job-reintegration program in Germany were interviewed following a guideline covering topics including health issues of interest to the participants, their sources of health-related information and the barriers/facilitators they experience when accessing health services. Results: Scoping review: After screening 2,966 titles and abstracts, 36 full texts were considered, and five articles fulfilled the inclusion criteria. Four focused on mental health literacy and outcomes, while the fifth assessed information-seeking practices. One additional report on health literacy was identified via the gray literature search. Awareness of one's condition was identified as a facilitator for mental health help-seeking, while fear of harmful effects of medication prevented help-seeking. Qualitative study: Participants were interested in and were generally well-informed about health topics such as nutrition and physical activity. The main challenge perceived was translating the knowledge into practice in daily life. GPs and the social services providers played an important role as a source of health information and advice. Regarding mental health, similar barriers, facilitators and needs were identified through triangulation of findings of the scoping review with those of the interviews. Conclusions: There is need to address health literacy needs of long-term unemployed persons that go beyond mental health literacy. Public health interventions should not only aim at improving health literacy scores, but also focus on how to help participants translate health literacy into practice. Population groups of interest should also be involved in all processes of designing interventions.