Integrated Surveillance of Disparities in Vaccination Coverage and Morbidity during the COVID-19 Pandemic: A Cohort Study in Southeast Sweden.

We aimed to use the digital platform maintained by the local health service providers in Southeast Sweden for integrated monitoring of disparities in vaccination and morbidity during the COVID-19 pandemic. The monitoring was performed in the adult population of two counties (n = 657,926) between 1 February 2020 and 15 February 2022. The disparities monitored were relocated (internationally displaced), substance users, and suffering from a psychotic disorder. The outcomes monitored were COVID-19 vaccination, SARS-CoV-2 test results, and hospitalization with COVID-19. Relocated residents displayed an increased likelihood of remaining unvaccinated and a decreased likelihood of testing as well as increased risks of primary SARS-CoV-2 infection and hospitalization compared with the general population. Suffering from a major psychiatric disease was associated with an increased risk of remaining unvaccinated and an increased risk of hospitalization but a decreased risk of SARS-CoV-2 infection. From the digital monitoring, we concluded that the relocated minority received insufficient protection during the pandemic, suggesting the necessity for comprehensive promotion of overall social integration. Persons with major psychiatric diseases underused vaccination, while they benefitted from proactively provided testing, implying a need for active encouragement of vaccination. Further research is warranted on legal and ethical frameworks for digital monitoring in vaccination programs.

Time for Medicine and Public Health to Leave Platform X.

Unlabelled: For more than 50 years, digital technologies have been employed for the creation and distribution of knowledge in health services. In the last decade, digital social media have been developed for applications in clinical decision support and population health monitoring. Recently, these technologies have also been used for knowledge translation, such as in the process where research findings created in academic settings are established as evidence and distributed for use in clinical practice, policy making, and health self-management. To date, it has been common for medical and public health institutions to have social media accounts for the dissemination of novel research findings and to facilitate conversations about these findings. However, recent events such as the transformation of the microblog Twitter to platform X have brought to light the need for the social media industry to exploit user data to generate revenue. In this viewpoint, it is argued that a redirection of social media use is required in the translation of knowledge to action in the fields of medicine and public health. A new kind of social internet is currently forming, known as the "fediverse," which denotes an ensemble of open social media that can communicate with each other while remaining independent platforms. In several countries, government institutions, universities, and newspapers use open social media to distribute information and enable discussions. These organizations control their own channels while being able to communicate with other platforms through open standards. Examples of medical knowledge translation via such open social media platforms, where users are less exposed to disinformation than in general platforms, are also beginning to appear. The current status of the social media industry calls for a broad discussion about the use of social technologies by health institutions involving researchers and health service practitioners, academic leaders, scientific publishers, social technology providers, policy makers, and the public. This debate should not primarily take place on social media platforms but rather at universities, in scientific journals, at public seminars, and other venues, allowing for the transparent and undisturbed communication and formation of opinions.

Aligning categories of mental health conditions with intervention types in high-performance sports: A narrative cornerstone review and classification framework.

Epidemiological studies suggest that psychiatric disorders are as prevalent amongst high-performance athletes as in general populations, challenging the myth of invulnerability. Despite efforts of sport organisations to highlight the significance of athletes' mental health, it is still many times tough to combine the sport performance ethos with a discourse on mental health. This narrative cornerstone review examines challenges related to definitions and classifications of athlete mental health in high-performance sports and how these influence assessments and the implementation of interventions. We discuss challenges with concept creep and psychiatrisation and outline their consequences for sport healthcare professionals. Based on this, we present a framework that aligns different categories of athlete mental health conditions (from the reduction of wellbeing to psychiatric disorders) with intervention types (from the provision of supporting environments to pharmacotherapy). We conclude that researchers and sport practitioners need to carefully consider conceptual creep and the risk of pathologising normal and healthy, albeit emotionally aversive, reactions to athlete lifeworld events when assessing athlete mental health. A clear separation of terminology denoting the athlete's resources to handle the lifeworld (including salutogenic factors) and terms describing psychiatric conditions and their management is necessary to avoid misguidance in intervention planning.

Professional ethics for infectious disease control: moral conflict management in modern public health practice.

OBJECTIVES: Despite scientific evidence that confirms their effectiveness, use of vaccines and microbiological mass testing during the COVID-19 pandemic has been associated with social and moral controversies. In this commentary, it is suggested how such conflicts originating from moral/normative imperatives can be managed in infectious disease control. STUDY DESIGN: This was a commentary analysis. METHODS: A case example of scientific and public debate regarding infectious disease control and policy-making during the early pandemic response is first presented. The case is used to characterize how conflicts arising from moral constraints occurred during the COVID-19 pandemic. These features are thereafter used as a basis for outlining a strategy for moral conflict prevention and management. RESULTS: A challenge for infectious disease control throughout the pandemic was how to manage persuasive initiatives originating from social forces competing with science for influence. Purposively maneuvered information distributed through social media and internet websites could predispose population factions to contest legitimate (evidence and legally based) pandemic response measures. During the pandemic, fact-based criticism of professionals responsible for infectious disease control was mixed with a critique of their moral standards and intentions so as to diminish effectiveness and credibility. Such blending could be curtailed if infectious disease control professionals are made accountable for public health decisions made in the light of prevalent scientific evidence and legislation. CONCLUSIONS: If the infectious disease control community would embrace the international code of medical professional ethics, this would help to deal with moral conflicts, especially ones arising from external threats, in modern public health.

Health Systems in High-Performance Sport: Key Functions to Protect Health and Optimize Performance in Elite Athletes.

Enabling athletes to achieve peak performances while also maintaining high levels of health is contextually complex. We aim to describe what a 'health system' is and apply the essential functions of stewardship, financing, provision of services and resource generation to an Australian high-performance sport context. We introduce a fifth function that health systems should not detract from athletes' ability to achieve their sports goals. We describe how these functions aim to achieve four overall outcomes of safeguarding the health of the athletes, responding to expectations, providing financial and social protection against the costs of ill health, and efficient use of resources. Lastly, we conclude with key challenges and potential solutions for developing an integrated health system within the overall performance system in high-performance sport.

Injury acknowledgement by reduction of sports load in world-leading athletics (track and field) athletes varies with their musculoskeletal health literacy and the socioeconomic environment.

OBJECTIVE: Although injury burden prompts elite athletics (track and field) athletes to engage in injury management, little is known about their health literacy. We investigated musculoskeletal (MS) health literacy in world-leading athletics athletes and associations with prechampionship injury acknowledgement by reduction of training load in different socioeconomic environments. METHODS: Adult and youth athletics athletes (n=1785) preparing for World Championships were invited to complete the Literacy in Musculoskeletal Problems instrument and report acknowledgement of injury by reduction in training load during prechampionship tapering. Their socioeconomic standing was estimated through the Human Development Index of their home country. Demographic differences were examined using χ2 tests and determinants of injury acknowledgement assessed using logistic regression. RESULTS: Complete data were obtained from 780 athletes (43.7%) with 26% demonstrating sufficient MS health literacy, higher in adult (41%) than youth (13%) athletes (p<0.001). Adult athletes at the uppermost socioeconomic level showed higher MS health literacy than athletes at lower socioeconomic levels (p<0.001). At the uppermost socioeconomic level, adult athletes with sufficient MS health literacy had increased likelihood of acknowledging an injury by reduction in training load compared with peers demonstrating insufficient MS health literacy (OR=2.45; 95% CI 1.33-4.53). Athletes at middle socioeconomic levels with sufficient MS health literacy had decreased likelihood for acknowledging an injury during tapering (OR=0.29; 95% CI 0.11-0.78). CONCLUSIONS: The prevalence of sufficient MS health literacy in world-leading athletics athletes is low. Associations between MS health literacy and injury acknowledgement in these athletes vary with the resourcefulness of the socioeconomic environment, implying that health literacy and resources for medical and performance support should be ascertained concurrently.

Co-morbidity associated with development of severe COVID-19 before vaccine availability: a retrospective cohort study in the first pandemic year among the middle-aged and elderly in Jönköping county, Sweden.

BACKGROUND: In preparation of future pandemics, it is important to recognise population-level determinants associated with development of severe illness before efficient vaccines and evidence-based therapeutic measures are available. The aim of this study was to identify pre-pandemic diagnoses recorded in a middle-aged and elderly population that were associated with development of severe COVID-19 during the first pandemic year. METHODS: A cohort study design was used. Severe COVID-19 was defined as a course of illness that resulted in hospital admission or death. A retrospective analysis was performed that comprised all individuals aged 39 years and older (N = 189,951) living in Jönköping County, Sweden. All diagnosed morbidity recorded in contacts with health care during the pre-pandemic year 2019 was used to identify which diagnoses that were associated with development of severe COVID-19 in the first pandemic year 2020. The analyses were performed separately for each diagnosis using binary logistic regression with adjustment for sex and age. RESULTS: Severe COVID-19 was suffered by 0.67% (N = 1,280) of the middle-aged and elderly population in the first pandemic year. Individuals previously diagnosed with dementia, cerebral palsy, kidney failure, type 2 diabetes mellitus, hypertension, and obesity were at higher risk of developing severe COVID-19. For patients with Type 2 diabetes mellitus, the odds ratio (OR) was 2.18 (95% confidence interval, 1.92-2.48). Type 1 diabetes mellitus was not associated with increased risk. CONCLUSION: Diagnoses suggesting service provision at long-term healthcare facilities and co-morbidity with components of the metabolic syndrome were associated with an increased risk of developing severe COVID-19 in a middle-aged and elderly population before vaccines were available.

A cross-sectional study of anxiety and depression caseness in female competitive figure skaters in Sweden.

Objectives: Little is known about figure skaters' mental health. This study aimed to describe anxiety and depression caseness (defined as a screening condition qualifying for psychiatric examination) in competitive figure skaters and analyse factors associated with such caseness. Methods: A cross-sectional study was performed in April 2019 among all competitive figure skaters in the south-eastern region of Sweden (N=400). The primary outcomes were anxiety caseness, measured using the short-form Spielberger State-Trait Anxiety Inventory and depression caseness, measured using the WHO-5 index. Multivariable logistic regression models were employed to determine the association between anxiety caseness and explanatory factors. Results: In total, 36% (n=142) of the invited skaters participated. Only females (n=137), mean age 12.9 (SD 3.0) years) were selected for analysis. Of the participating skaters, 47% displayed anxiety caseness and 10% depression caseness. Overweight body image perception (OR 5.9; 95% CI 2.0 to 17.6; p=0.001) and older age (OR 1.2; 95% CI 1.1 to 1.4; p=0.005) were associated with anxiety caseness. Skaters reporting no caseness were younger than those reporting only anxiety caseness (mean age difference -1.9 years; 95% CI -3.1 to -0.7; p=0.001) or anxiety and depression caseness (OR -3.5 years; 95% CI -5.6 to -1.5 years; p<0.001). Conclusion: Anxiety caseness was associated with overweight body image perception and older age in female competitive figure skaters. Older skaters reported generally worse mental health. More research on the mental health of figure skaters is warranted, considering comorbidity and focusing on those needing further assessment and support.

Universal prevention through a digital health platform reduces injury incidence in youth athletics (track and field): a cluster randomised controlled trial.

OBJECTIVES: To examine whether universal prevention via a digital health platform can reduce the injury incidence in athletics athletes aged 12-15 years and if club size had an influence on the effect of the intervention. METHODS: This was a cluster randomised trial where young athletics athletes were randomised through their club following stratification by club size into intervention (11 clubs; 56 athletes) and control (10 clubs; 79 athletes) groups. The primary endpoint was time from baseline to the first self-reported injury. Intervention group parents and coaches were given access to a website with health information adapted to adolescent athletes and were encouraged to log in and explore its content during 16 weeks. The control group continued training as normal. Training exposure and injury data were self-reported by youths/parents every second week, that is, eight times. The primary endpoint data were analysed using the log-rank test. Cox proportional hazards regression was used to analyse the second study aim with intervention status and club size included in the explanatory models. RESULTS: The proportion of completed training reports was 85% (n=382) in the intervention group and 86% (n=545) in the control group. The injury incidence was significantly lower (HR=0.62; χ2=3.865; p=0.049) in the intervention group. The median time to first injury was 16 weeks in the intervention group and 8 weeks in the control group. An interaction effect between the intervention and stratification factor was observed with a difference in injury risk between athletes in the large clubs in the intervention group versus their peers in the control group (HR 0.491 (95% CI 0.242 to 0.998); p=0.049). CONCLUSIONS: A protective effect against injury through universal access to health information adapted for adolescent athletes was observed in youth athletics athletes. The efficacy of the intervention was stronger in large clubs. TRIAL REGISTRATION NUMBER: NCT03459313.

Having an injury complaint during the four weeks before an international athletics ('track and field') championship more than doubles the risk of sustaining an injury during the respective championship: a cohort study on 1095 athletes during 7 international championships.

OBJECTIVES: To analyse the association between pre-participation health status and in-championships injuries in a large dataset from seven international athletics championships, and to determine the health status of athletes during the four weeks before the start of international athletics championships. DESIGN: Prospective cohort study. METHODS: We used data collected from athletes of national teams with medical staff who participated i) in a pre-participation health survey (retrospective data collection) and ii) in an in-championships injury surveillance (prospective data collection) during seven international athletics championships (2013-2018). We performed a binomial logistic regression with in-championship injury (yes/no) as the dependent variable and sex, age, discipline (explosive/endurance), type of championships (outdoor/indoor) and pre-participation injury complaint (yes/no) and pre-participation illness complaint (yes/no) as independent variables, with odds ratios (OR) and 95% confidence intervals (95% CI). RESULTS: Out of the 1095 athletes included 31.2% reported an injury complaint during the 4 weeks before the championships and 21.6% an illness complaint. The univariate model showed that discipline, type of championships and pre-participation injury complaints (OR = 2.57, 95%CI: 1.66 to 3.97) were significantly associated with in-championships injuries, and the multivariable model showed that type of championships and pre-participation injury complaints (OR = 2.64, 95%CI: 1.60 to 4.36) remained significantly associated with in-championships injuries. CONCLUSIONS: Our present study shows that an injury complaint during the four weeks before an international athletics championship significantly increased risk of sustaining an injury during the following championship, which was reported by about one third of athletes with differences between sex and disciplines.

Effectiveness of the BNT162b2 mRNA Vaccine Compared with Hybrid Immunity in Populations Prioritized and Non-Prioritized for COVID-19 Vaccination in 2021-2022: A Naturalistic Case-Control Study in Sweden.

The term hybrid immunity is used to denote the immunological status of vaccinated individuals with a history of natural infection. Reports of new SARS-CoV-2 variants of concern motivate continuous rethought and renewal of COVID-19 vaccination programs. We used a naturalistic case-control study design to compare the effectiveness of the BNT162b2 mRNA vaccine to hybrid immunity 180 days post-vaccination in prioritized and non-prioritized populations vaccinated before 31 July 2021 in three Swedish counties (total population 1,760,000). Subjects with a positive SARS-CoV-2 test recorded within 6 months before vaccination (n = 36,247; 6%) were matched to vaccinated-only controls. In the prioritized population exposed to the SARS-CoV-2 Alpha and Delta variants post-vaccination, the odds ratio (OR) for breakthrough infection was 2.2 (95% CI, 1.6−2.8; p < 0.001) in the vaccinated-only group compared with the hybrid immunity group, while in the later vaccinated non-prioritized population, the OR decreased from 4.3 (95% CI, 2.2−8.6; p < 0.001) during circulation of the Delta variant to 1.9 (95% CI, 1.7−2.1; p < 0.001) with the introduction of the Omicron variant (B.1.617.2). We conclude that hybrid immunity provides gains in protection, but that the benefits are smaller for risk groups and with circulation of the Omicron variant and its sublineages.

Computational models predicting the early development of the COVID-19 pandemic in Sweden: systematic review, data synthesis, and secondary validation of accuracy.

Computational models for predicting the early course of the COVID-19 pandemic played a central role in policy-making at regional and national levels. We performed a systematic review, data synthesis, and secondary validation of studies that reported on prediction models addressing the early stages of the COVID-19 pandemic in Sweden. A literature search in January 2021 based on the search triangle model identified 1672 peer-reviewed articles, preprints and reports. After applying inclusion criteria 52 studies remained out of which 12 passed a Risk of Bias Opinion Tool. When comparing model predictions with actual outcomes only 4 studies exhibited an acceptable forecast (mean absolute percentage error, MAPE < 20%). Models that predicted disease incidence could not be assessed due to the lack of reliable data during 2020. Drawing conclusions about the accuracy of the models with acceptable methodological quality was challenging because some models were published before the time period for the prediction, while other models were published during the prediction period or even afterwards. We conclude that the forecasting models involving Sweden developed during the early stages of the COVID-19 pandemic in 2020 had limited accuracy. The knowledge attained in this study can be used to improve the preparedness for coming pandemics.

Vulnerability and stressors on the pathway to depression in a global cohort of young athletics (track and field) athletes.

This research set out to identify pathways from vulnerability and stressors to depression in a global population of young athletes. Retrospective data were collected at age 18-19 years from Athletics athletes (n = 1322) originating from Africa, Asia, Europe, Oceania, and the Americas. We hypothesised that sports-related and non-sports-related stressors in interaction with structural vulnerability instigate depression. Path modelling using Maximum likelihood estimation was employed for the data analysis. Depression caseness and predisposition were determined using the WHO-5 instrument. Thirty-six percent of the athletes (n = 480) returned complete data. Eighteen percent of the athletes reported lifetime physical abuse, while 11% reported sexual abuse. Forty-five percent of the athletes had recently sustained an injury. The prevalence of depression caseness was 5.6%. Pathways to depression caseness were observed from female sex (p = 0.037) and injury history (p = 0.035) and to predisposition for depression also through exposure to a patriarchal society (p = 0.046) and physical abuse (p < 0.001). We conclude that depression in a global population of young athletes was as prevalent as previously reported from general populations, and that universal mental health promotion in youth sports should include provision of equal opportunities for female and male participants, injury prevention, and interventions for abuse prevention and victim support.

App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden.

The app-based COVID Symptom Study was launched in Sweden in April 2020 to contribute to real-time COVID-19 surveillance. We enrolled 143,531 study participants (≥18 years) who contributed 10.6 million daily symptom reports between April 29, 2020 and February 10, 2021. Here, we include data from 19,161 self-reported PCR tests to create a symptom-based model to estimate the individual probability of symptomatic COVID-19, with an AUC of 0.78 (95% CI 0.74-0.83) in an external dataset. These individual probabilities are employed to estimate daily regional COVID-19 prevalence, which are in turn used together with current hospital data to predict next week COVID-19 hospital admissions. We show that this hospital prediction model demonstrates a lower median absolute percentage error (MdAPE: 25.9%) across the five most populated regions in Sweden during the first pandemic wave than a model based on case notifications (MdAPE: 30.3%). During the second wave, the error rates are similar. When we apply the same model to an English dataset, not including local COVID-19 test data, we observe MdAPEs of 22.3% and 19.0% during the first and second pandemic waves, respectively, highlighting the transferability of the prediction model.