Urinary Metal Levels and Coronary Artery Calcification: Longitudinal Evidence in the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Exposure to metals, a newly recognized risk factor for cardiovascular disease (CVD), could be related to atherosclerosis progression. OBJECTIVES: The authors hypothesized that higher urinary levels of nonessential (cadmium, tungsten, uranium) and essential (cobalt, copper, zinc) metals previously associated with CVD would be associated with baseline and rate of change of coronary artery calcium (CAC) progression, a subclinical marker of CVD in MESA (Multi-Ethnic Study of Atherosclerosis). METHODS: We analyzed data from 6,418 MESA participants with spot urinary metal levels at baseline (2000-2002) and 1 to 4 repeated, continuous measures of CAC over a 10-year period. We used linear mixed-effect models to assess the association of baseline urinary metal levels with baseline CAC and cumulative change in CAC over a 10-year period. Urinary metals (µg/g creatinine) and CAC were log transformed. Models were adjusted for baseline sociodemographic factors, estimated glomerular filtration rate, lifestyle factors, and clinical factors. RESULTS: At baseline, the median CAC was 6.3 (Q1-Q3: 0.7-58.2). Comparing the highest to lowest quartile of urinary cadmium, CAC levels were 51% (95% CI: 32%-74%) higher at baseline and 75% (95% CI: 47%-107%) higher over the 10-year period. For urinary tungsten, uranium, and cobalt, the corresponding CAC levels over the 10-year period were 45% (95% CI: 23%-71%), 39% (95% CI: 17%-64%), and 47% (95% CI: 25%-74%) higher, respectively, with no difference for models with and without adjustment for clinical factors. For copper and zinc, the corresponding estimates dropped from 55% to 33% and from 85% to 57%, respectively, after adjustment for clinical factors. The associations of metals with CAC were comparable in magnitude to those for classical CVD risk factors. CONCLUSIONS: Exposure to metals was generally associated with extent of coronary calcification at baseline and follow-up. These findings support that metals are associated with the progression of atherosclerosis, potentially providing a novel strategy for the prevention and treatment of atherosclerosis progression.

An epigenome-wide study of selenium status and DNA methylation in the Strong Heart Study.

BACKGROUND: Selenium (Se) is an essential nutrient linked to adverse health endpoints at low and high levels. The mechanisms behind these relationships remain unclear and there is a need to further understand the epigenetic impacts of Se and their relationship to disease. We investigated the association between urinary Se levels and DNA methylation (DNAm) in the Strong Heart Study (SHS), a prospective study of cardiovascular disease (CVD) among American Indians adults. METHODS: Selenium concentrations were measured in urine (collected in 1989-1991) using inductively coupled plasma mass spectrometry among 1,357 participants free of CVD and diabetes. DNAm in whole blood was measured cross-sectionally using the Illumina MethylationEPIC BeadChip (850 K) Array. We used epigenome-wide robust linear regressions and elastic net to identify differentially methylated cytosine-guanine dinucleotide (CpG) sites associated with urinary Se levels. RESULTS: The mean (standard deviation) urinary Se concentration was 51.8 (25.1) µg/g creatinine. Across 788,368 CpG sites, five differentially methylated positions (DMP) (hypermethylated: cg00163554, cg18212762, cg11270656, and hypomethylated: cg25194720, cg00886293) were significantly associated with Se in linear regressions after accounting for multiple comparisons (false discovery rate p-value: 0.10). The top hypermethylated DMP (cg00163554) was annotated to the Disco Interacting Protein 2 Homolog C (DIP2C) gene, which relates to transcription factor binding. Elastic net models selected 425 hypo- and hyper-methylated DMPs associated with urinary Se, including three sites (cg00163554 [DIP2C], cg18212762 [MAP4K2], cg11270656 [GPIHBP1]) identified in linear regressions. CONCLUSIONS: Urinary Se was associated with minimal changes in DNAm in adults from American Indian communities across the Southwest and the Great Plains in the United States, suggesting that other mechanisms may be driving health impacts. Future analyses should explore other mechanistic biomarkers in human populations, determine these relationships prospectively, and investigate the potential role of differentially methylated sites with disease endpoints.

Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks.

Hyperspectral imaging has demonstrated its potential to provide correlated spatial and spectral information of a sample by a non-contact and non-invasive technology. In the medical field, especially in histopathology, HSI has been applied for the classification and identification of diseased tissue and for the characterization of its morphological properties. In this work, we propose a hybrid scheme to classify non-tumor and tumor histological brain samples by hyperspectral imaging. The proposed approach is based on the identification of characteristic components in a hyperspectral image by linear unmixing, as a features engineering step, and the subsequent classification by a deep learning approach. For this last step, an ensemble of deep neural networks is evaluated by a cross-validation scheme on an augmented dataset and a transfer learning scheme. The proposed method can classify histological brain samples with an average accuracy of 88%, and reduced variability, computational cost, and inference times, which presents an advantage over methods in the state-of-the-art. Hence, the work demonstrates the potential of hybrid classification methodologies to achieve robust and reliable results by combining linear unmixing for features extraction and deep learning for classification.

Volume of alcohol intake, heavy episodic drinking, and all-cause mortality in Spain: A longitudinal population-based study.

INTRODUCTION: The impact of alcohol consumption on health, particularly in low quantities, remains controversial. Our objective was to assess the association between alcohol volume and heavy episodic drinking (HED) with all-cause mortality, while minimizing many of the known methodological issues. METHODOLOGY: This longitudinal study used data from the 2011-2012 National Health Survey and the 2014 European Health Survey in Spain. Data from 43,071 participants aged ≥ 15 years were linked to mortality records as of December 2021. Alcohol consumption categories were defined based on intake volume and frequency: never-drinkers, former drinkers, infrequent occasional drinkers (≤once/month), frequent occasional drinkers ( once /month). Regular drinkers (≥once/week) were further classified by volume: >0-10 g/day, >10-20 g/day, >20-40 g/day, and > 40 g/day. Heavy Episodic Drinking (HED) was defined as ≥ 6 and ≥ 5 standard drinks (10 g) within 4-6 h for men and women, respectively. Hazard ratios (HR) were calculated using Cox regression, adjusting for sociodemographic variables, lifestyle factors, health status, and alcohol volume or HED. RESULTS: Compared to infrequent occasional drinkers, HRs for never-drinkers and former drinkers were 1.30 (95 %CI:1.14-1.47) and 1.32 (95 %CI:1.15-1.50), respectively. No differences in mortality risk were observed for intakes up to 20 g/day, but it increased for consumptions > 20-40 g/day and > 40 g/day (HR = 1.29; 95 %CI:1.05-1.58 and HR = 1.57; 95 %CI:1.14-2.17, respectively). The HR of weekly HED vs. never was 1.31 (95 %CI:0.98-1.75). CONCLUSIONS: Compared to infrequent occasional drinking, consuming low amounts of alcohol had no impact on mortality risk. However, never-drinkers, former drinkers, individuals with regular consumption > 20 g/day, and those engaging in weekly HED, experienced higher mortality risk.

Measurement properties of utility-based health-related quality of life measures in cardiac rehabilitation and secondary prevention programs: a systematic review.

PURPOSE: To identify utility-based patient-reported outcome measures (PROMs) for assessing health-related quality of life (HRQoL) in cardiac rehabilitation and secondary prevention programs (CR) and appraise existing evidence on their measurement properties. Secondly, to link their items to the International Classification of Functioning Disability and Health (ICF) and the International Consortium of Health Outcome Measures (ICHOM) domains for cardiovascular disease (CVD). METHODS: Eight databases were searched. The review followed the COSMIN and JBI guidelines for measurement properties systematic reviews and PRISMA 2020 reporting guidelines. Non-experimental and observational empirical studies of patients ≥ 18 years of age with CVD undergoing CR and assessed quality of life (QoL) or HRQoL using utility-based PROMs or one accompanied by health state utilities were included. RESULTS: Nine PROMs were identified with evidence on measurement properties for three measures: the German translations of SF-12, EQ-5D-5L, and MacNew heart disease HRQoL questionnaire. There was moderate quality evidence for responsiveness and hypothesis testing of the SF-12 and EQ-5D-5L, and high-quality evidence for responsiveness and hypothesis testing for the MacNew. All items of SF-12 and EQ-5D were linked to ICF categories, but four items of the MacNew were not classified or defined. All the PROM domains were mapped onto similar constructs from the ICHOM global sets. CONCLUSION: Three utility-based PROMs validated in CR were identified: the German versions of the EQ-5D and SF-12 and the MacNew questionnaire. These PROMs are linked to a breadth of ICF categories and all ICHOM global sets. Additional validation studies of PROMs in CR are required.

The Caring Life Course Theory: Opening new frontiers in care-A cardiac rehabilitation example.

AIM(S): To operationalize the Caring Life Course Theory (CLCT) as a framework for improving cardiac rehabilitation (CR) engagement and informing ways to address disparities in rural, low socio-economic areas. METHODS: A secondary analysis of data collected from 15 CR programmes to identify CR patterns through the CLCT lens using a mixed-methods approach. All analytical processes were conducted in NVivo, coding qualitative data through thematic analysis based on CLCT constructs. Relationships among these constructs were quantitatively assessed using Jaccard coefficients and hierarchical clustering via dendrogram analysis to identify related clusters. RESULTS: A strong interconnectedness among constructs: 'care from others', 'capability', 'care network' and 'care provision' (coefficient = 1) highlights their entangled crucial role in CR. However, significant conceptual disparities between 'care biography' and 'fundamental care' (coefficient = 0.4) and between 'self-care' and 'care biography' (coefficient = 0.384615) indicate a need for more aligned and personalized care approaches within CR. CONCLUSION: The CLCT provides a comprehensive theoretical and practical framework to address disparities in CR, facilitating a personalized approach to enhance engagement in rural and underserved regions. IMPLICATIONS: Integrating CLCT into CR programme designs could effectively address participation challenges, demonstrating the theory's utility in developing targeted, accessible care interventions/solutions. IMPACT: Explored the challenge of low CR engagement in rural, low socio-economic settings. Uncovered care provision, transitions and individual care biographies' relevance for CR engagement. Demonstrated the potential of CLCT to inform/transform CR services for underserved populations, impacting practices and outcomes. REPORTING METHOD: EQUATOR-MMR-RHS. PATIENT CONTRIBUTION: A consumer co-researcher contributed to all study phases.

Care biography: A concept analysis.

In this article, we investigate how the concept of Care Biography and related concepts are understood and operationalised and describe how it can be applied to advancing our understanding and practice of holistic and person-centred care. Walker and Avant's eight-step concept analysis method was conducted involving multiple database searches, with potential or actual applications of Care Biography identified based on multiple discussions among all authors. Our findings demonstrate Care Biography to be a novel overarching concept derived from the conjunction of multiple other concepts and applicable across multiple care settings. Concepts related to Care Biography exist but were more narrowly defined and mainly applied in intensive care, aged care, and palliative care settings. They are associated with the themes of Meaningfulness and Existential Coping, Empathy and Understanding, Promoting Positive Relationships, Social and Cultural Contexts, and Self-Care, which we used to inform and refine our concept analysis of Care Biography. In Conclusion, the concept of Care Biography, can provide a deeper understanding of a person and their care needs, facilitate integrated and personalised care, empower people to be in control of their care throughout their life, and help promote ethical standards of care.

Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB).

Hyperspectral (HS) imaging (HSI) technology combines the main features of two existing technologies: imaging and spectroscopy. This allows to analyse simultaneously the morphological and chemical attributes of the objects captured by a HS camera. In recent years, the use of HSI provides valuable insights into the interaction between light and biological tissues, and makes it possible to detect patterns, cells, or biomarkers, thus, being able to identify diseases. This work presents the HistologyHSI-GB dataset, which contains 469 HS images from 13 patients diagnosed with brain tumours, specifically glioblastoma. The slides were stained with haematoxylin and eosin (H&E) and captured using a microscope at 20× power magnification. Skilled histopathologists diagnosed the slides and provided image-level annotations. The dataset was acquired using custom HSI instrumentation, consisting of a microscope equipped with an HS camera covering the spectral range from 400 to 1000 nm.

metaGWASmanager: a toolbox for an automated workflow from phenotypes to meta-analysis in GWAS consortia.

SUMMARY: This article introduces the metaGWASmanager, which streamlines genome-wide association studies within large-scale meta-analysis consortia. It is a toolbox for both the central consortium analysis group and participating studies to generate homogeneous phenotypes, minimize unwanted variability from inconsistent methodologies, ensure high-quality association results, and implement time-efficient quality control workflows. The toolbox features a plug-in-based approach for customization of association testing. RESULTS: The metaGWASmanager toolbox has been successfully deployed in both the CKDGen and MetalGWAS Initiative consortia across hundreds of participating studies, demonstrating its effectiveness in GWAS analysis optimization by automating routine tasks and ensuring the value and reliability of association results, thus, ultimately promoting scientific discovery. We provide a simulated data set with examples for script customization so that readers can reproduce the pipeline at their convenience. AVAILABILITY AND IMPLEMENTATION: GitHub: https://github.com/genepi-freiburg/metaGWASmanager.

Clinical effectiveness of cardiac rehabilitation and barriers to completion in patients of low socioeconomic status in rural areas: A mixed-methods study.

OBJECTIVE: To investigate cardiac rehabilitation utilisation and effectiveness, factors, needs and barriers associated with non-completion. DESIGN: We used the mixed-methods design with concurrent triangulation of a retrospective cohort and a qualitative study. SETTING: Economically disadvantaged areas in rural Australia. PARTICIPANTS: Patients (≥18 years) referred to cardiac rehabilitation through a central referral system and living in rural areas of low socioeconomic status. MAIN MEASURES: A Cox survival model balanced by inverse probability weighting was used to assess the association between cardiac rehabilitation utilization and 12-month mortality/cardiovascular readmissions. Associations with non-completion were tested by logistic regression. Barriers and needs to cardiac rehabilitation completion were investigated through a thematic analysis of semi-structured interviews and focus groups (n = 28). RESULTS: Among 16,159 eligible separations, 44.3% were referred, and 11.2% completed cardiac rehabilitation. Completing programme (HR 0.65; 95%CI 0.57-0.74; p < 0.001) led to a lower risk of cardiovascular readmission/death. Living alone (OR 1.38; 95%CI 1.00-1.89; p = 0.048), having diabetes (OR 1.48; 95%CI 1.02-2.13; p = 0.037), or having depression (OR 1.54; 95%CI 1.14-2.08; p = 0.005), were associated with a higher risk of non-completion whereas enrolment in a telehealth programme was associated with a lower risk of non-completion (OR 0.26; 95%CI 0.18-0.38; p < 0.001). Themes related to logistic issues, social support, transition of care challenges, lack of care integration, and of person-centeredness emerged as barriers to completion. CONCLUSIONS: Cardiac rehabilitation completion was low but effective in reducing mortality/cardiovascular readmissions. Understanding and addressing barriers and needs through mixed methods can help tailor cardiac rehabilitation programmes to vulnerable populations and improve completion and outcomes.

Clinical Effectiveness and Utilisation of Cardiac Rehabilitation After Hospital Discharge: Data Linkage Analysis of 84,064 Eligible Discharged Patients (2016-2021).

BACKGROUND: Despite the highest levels of evidence on cardiac rehabilitation (CR) effectiveness, its translation into practice is compromised by low participation. AIM: This study aimed to investigate CR utilisation and effectiveness in South Australia. METHODS: This retrospective cohort study used data linkage of clinical and administrative databases from 2016 to 2021 to assess the association between CR utilisation (no CR received, commenced without completing, or completed) and the composite primary outcome (mortality/cardiovascular re-admissions within 12 months after discharge). Cox survival models were adjusted for sociodemographic and clinical data and applied to a population balanced by inverse probability weighting. Associations with non-completion were assessed by logistic regression. RESULTS: Among 84,064 eligible participants, 74,189 did not receive CR, with 26,833 of the 84,064 (31.9%) participants referred. Of these, 9,875 (36.8%) commenced CR, and 7,681 of the 9,875 (77.8%) completed CR. Median waiting time from discharge to commencement was 40 days (interquartile range, 23-79 days). Female sex (odds ratio [OR] 1.12; 95% CI 1.01-1.24; p=0.024), depression (OR 1.17; 95% CI 1.05-1.30; p=0.002), and waiting time >28 days (OR 1.15; 95% CI 1.05-1.26; p=0.005) were associated with higher odds of non-completion, whereas enrolment in a telehealth program (OR 0.35; 95% CI 0.31-0.40; p<0.001) was associated with lower odds of non-completion. Completing CR (hazard ratio [HR] 0.62; 95% CI 0.58-0.66; p<0.001) was associated with a lower risk of 12-month mortality/cardiovascular re-admissions. Commencing without completing was also associated with decreased risk (HR 0.81; 95% CI 0.73-0.90; p<0.001), but the effect was lower than for those completing CR (p<0.001). CONCLUSIONS: Cardiac rehabilitation (CR) attendance is associated with lower all-cause mortality/cardiovascular re-admissions, with CR completion leading to additional benefits. Quality improvement initiatives should include promoting referral, women's participation, access to telehealth, and reduction of waiting times to increase completion.

Glyphosate exposure, muscular health and functional limitations in middle-aged and older adults.

BACKGROUND: Glyphosate is the most widely used herbicide worldwide, both in domestic and industrial settings. Experimental research in animal models has demonstrated changes in muscle physiology and reduced contractile strength associated with glyphosate exposure, while epidemiological studies have shown associations between glyphosate exposure and adverse health outcomes in critical biological systems affecting muscle function. METHODS: This study used data from a nationally representative survey of the non-institutionalized U.S. general population (NHANES, n = 2132). Urine glyphosate concentrations were determined by ion chromatography with tandem mass spectrometry. Hand grip strength (HGS) was measured using a Takei Dynamometer, and relative strength estimated as the ratio between HGS in the dominant hand and the appendicular lean mass (ALM) to body mass index (ALMBMI) ratio. Low HGS and low relative HGS were defined as 1 sex-, age- and race-specific SD below the mean. Physical function limitations were identified as significant difficulty or incapacity in various activities. RESULTS: In fully-adjusted models, the Mean Differences (MD) and 95% confidence intervals [95%CI] per doubling increase in glyphosate concentrations were -0.55 [-1.09, -0.01] kg for HGS in the dominant hand, and -0.90 [-1.58. -0.21] kg for HGS/ALMBMI. The Odds Ratios (OR) [95% CI] for low HGS, low relative HGS and functional limitations by glyphosate concentrations were 1.27 [1.03, 1.57] for low HGS; 1.43 [1.05; 1.94] for low relative HGS; 1.33 [1.08, 1.63] for stooping, crouching or kneeling difficulty; 1.17 [0.91, 1.50] for lifting or carrying items weighting up to 10 pounds difficulty; 1.21 [1.01, 1.40] for standing up from armless chair difficulty; and 1.47 [1.05, 2.29] for ascending ten steps without pause difficulty. CONCLUSIONS: Glyphosate exposure may be a risk factor for decreased grip strength and increased physical functional limitations. More studies investigating the influence of this and other environmental pollutants on functional aging are needed.

Chilean Supreme Court ruling on the protection of brain activity: neurorights, personal data protection, and neurodata.

This paper discusses a landmark ruling by the Chilean Supreme Court of August 9, 2023 dealing with the right to mental privacy, originated with an action for constitutional protection filed on behalf of Guido Girardi Lavin against Emotiv Inc., a North American company based in San Francisco, California that is commercializing the device "Insight." This wireless device functions as a headset with sensors that collect information about the brain's electrical activity (i.e., neurodata). The discussion revolves around whether neurodata can be considered personal data and whether they could be classified into a special category. The application of the present legislation on data (the most obsolete, such as the Chilean law, and the most recent EU law) does not seem adequate to protect neurodata. The use of neurodata raises ethical and legal concerns that are not fully addressed by current regulations on personal data protection. Despite not being necessarily considered personal data, neurodata represent the most intimate aspects of human personality and should be protected in light of potential new risks. The unique characteristics of neurodata, including their interpretive nature and potential for revealing thoughts and intentions, pose challenges for regulation. Current data protection laws do not differentiate between different types of data based on their informational content, which is relevant for protecting individual rights. The development of new technologies involving neurodata requires particular attention and careful consideration to prevent possible harm to human dignity. The regulation of neurodata must account for their specific characteristics and the potential risks they pose to privacy, confidentiality, and individual rights. The answer lies in the reconfiguration of human rights known as "neurorights" that goes beyond the protection of personal data.

From Promise to Practice: How Health Researchers Understand and Promote Transdisciplinary Collaboration.

There is an increasing emphasis on transdisciplinary research to address the complex challenges faced by health systems. However, research has not adequately explored how members of transdisciplinary research teams perceive, understand, and promote transdisciplinary collaboration. As such, there is a need to investigate collaborative behaviors, knowledge, and the impacts of transdisciplinary research. To address this gap, we conducted a longitudinal realist evaluation of transdisciplinary collaboration within a 5-year National Health and Medical Research Council-funded Center of Research Excellence in Transdisciplinary Frailty Research. The current study aimed to explore researchers' perceptions and promotion of transdisciplinary research specifically within the context of frailty research using qualitative methods. Participants described transdisciplinary research as a collaborative and integrative approach that involves individuals from various disciplines working together to tackle complex research problems. However, participants often used terms like interdisciplinary and multidisciplinary interchangeably, indicating that a shared understanding of transdisciplinary research is needed. Barriers to transdisciplinary collaboration included time constraints, geographical distance, and entrenched collaboration patterns. To overcome these challenges, participants suggested implementing strategies such as creating a shared vision and goals, establishing appropriate collaboration systems and structures, and role modeling collaborative behaviors, values, and attitudes. Our findings underscore the need for practical knowledge in developing transdisciplinary collaboration and leadership skills across different career stages. In the absence of formal training, sustained and immersive programs that connect researchers with peers, educators, and role models from various disciplines and provide experiential learning opportunities, may be valuable in fostering successful transdisciplinary collaboration.

Methods for the Analysis of Multiple Epigenomic Mediators in Environmental Epidemiology.

PURPOSE OF REVIEW: Epigenetic changes can be highly influenced by environmental factors and have in turn been proposed to influence chronic disease. Being able to quantify to which extent epigenomic processes are mediators of the association between environmental exposures and diseases is of interest for epidemiologic research. In this review, we summarize the proposed mediation analysis methods with applications to epigenomic data. RECENT FINDINGS: The ultra-high dimensionality and high correlations that characterize omics data have hindered the precise quantification of mediated effects. Several methods have been proposed to deal with mediation in high-dimensional settings, including methods that incorporate dimensionality reduction techniques to the mediation algorithm. Although important methodological advances have been conducted in the previous years, key challenges such as the development of sensitivity analyses, dealing with mediator-mediator interactions, including environmental mixtures as exposures, or the integration of different omic data should be the focus of future methodological developments for epigenomic mediation analysis.

Omics feature selection with the extended SIS R package: identification of a body mass index epigenetic multimarker in the Strong Heart Study.

The statistical analysis of omics data poses a great computational challenge given their ultra-high-dimensional nature and frequent between-features correlation. In this work, we extended the iterative sure independence screening (ISIS) algorithm by pairing ISIS with elastic-net (Enet) and 2 versions of adaptive elastic-net (adaptive elastic-net (AEnet) and multistep adaptive elastic-net (MSAEnet)) to efficiently improve feature selection and effect estimation in omics research. We subsequently used genome-wide human blood DNA methylation data from American Indian participants in the Strong Heart Study (n = 2235 participants; measured in 1989-1991) to compare the performance (predictive accuracy, coefficient estimation, and computational efficiency) of ISIS-paired regularization methods with that of a bayesian shrinkage and traditional linear regression to identify an epigenomic multimarker of body mass index (BMI). ISIS-AEnet outperformed the other methods in prediction. In biological pathway enrichment analysis of genes annotated to BMI-related differentially methylated positions, ISIS-AEnet captured most of the enriched pathways in common for at least 2 of all the evaluated methods. ISIS-AEnet can favor biological discovery because it identifies the most robust biological pathways while achieving an optimal balance between bias and efficient feature selection. In the extended SIS R package, we also implemented ISIS paired with Cox and logistic regression for time-to-event and binary endpoints, respectively, and a bootstrap approach for the estimation of regression coefficients.

Causal mediation for uncausally related mediators in the context of survival analysis.

Objective: The study of the potential intermediate effect of several variables on the association between an exposure and a time-to-event outcome is a question of interest in epidemiologic research. However, to our knowledge, no tools have been developed for the evaluation of multiple correlated mediators in a survival setting. Methods: In this work, we extended the multimediate algorithm, which conducts mediation analysis in the context of multiple uncausally correlated mediators, to a time-to-event setting using the semiparametric additive hazards model. We theoretically demonstrated that, under certain assumptions, indirect, direct and total effects can be calculated using the counterfactual framework with collapsible survival models. We also adapted the algorithm to accommodate exposure-mediator interactions. Results and conclusions: Using simulations, we demonstrated that our algorithm performs better than the product of coefficients method, even for uncorrelated mediators. The additive hazards model quantifies the effects as rate differences, which constitute a measure of impact, with applications that can be highly informative for public health. Our algorithm can be found in the R package multimediate, which is available in Github.

Alcohol consumption patterns and adherence to the Mediterranean diet in the adult population of Spain.

PURPOSE: The objective is to evaluate the association between various indicators of alcohol consumption and the degree of adherence to the Mediterranean diet among the Spanish adult population. METHODS: A cross-sectional study including 44,834 participants ≥ 15 years of age from the 2017 National Health Survey and the 2020 European Health Survey in Spain. Alcohol patterns were defined based on (1) average intake: individuals were classified as low risk (1-20 g/day in men and 1-10 g/day in women) and high risk (> 20 g/day in men or > 10 g/day in women), (2) binge drinking, and (3) alcoholic beverage preference. Non-adherence to the Mediterranean diet was defined as scoring < 7 points on an adapted Mediterranean Diet Adherence Screener index (range 0-10). Odds ratios (OR) were estimated using logistic regression models adjusted for relevant covariates. RESULTS: Compared to non-drinkers, low and high-risk drinkers were more likely to report non-adherence to the Mediterranean diet: ORs 1.35 (95% CI 1.23; 1.49) and 1.54 (95% CI 1.34; 1.76), respectively. Similarly, reports of binge drinking less than once a month was associated with higher likelihood of non-adherence (OR 1.17; 95% CI 1.04; 1.31). Individuals reporting no preference for a specific beverage and those with a preference for beer or for spirits had lower adherence: ORs 1.18 (95% CI 1.05; 1.33), 1.31 (95% CI 1.17; 1.46), and 1.72 (95% CI 1.17; 2.54), respectively, while a preference for wine showed no association (OR 1.01; 95% CI 0.90; 1.13). CONCLUSION: Alcohol consumption, even in low amounts, is associated with lower adherence to the Mediterranean diet. Therefore, alcoholic beverages should not be included in measures that define the Mediterranean diet.

A Human-Centered Approach to Measuring the Impact of Evidence-Based Online Resources.

Evidence-based online resources aim to combat vulnerabilities associated with health misinformation, evidence misalignment, and science illiteracy. Yet, it is a challenge to measure and demonstrate their impacts beyond looking at proxies for success (e.g., numbers of followers and likes). Addressing this gap, we introduce an emerging evaluation and verify its functionality in delivering optimal impact and sustainability measures for an evidence-based video resource on frailty.