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Objective: We assessed trends in socioeconomic inequalities in cardiovascular risk factors prevalence among Swiss adults from 2008 to 2019. Methods: Using data from the Bus Santé study, an annual survey of adults living in Geneva, Switzerland, we calculated the prevalence per period and by demographic and socioeconomic indicators, assessing inequality trends using the relative index of inequality (RII) and the slope index of inequality (SII). Results: Among 10,739 participants, most CVD risk factors decreased over time, while diabetes, obesity, and smoking prevalence remained steady. In 2017-2019, prevalence of most CVD risk factors was higher in socioeconomically disadvantaged groups. Relative and absolute inequalities decreased over time, but mostly remained, for hypertension [in 2017-2019, education-RII (95 % CI) = 1.27 (1.12-1.46), income-RII = 1.27 (1.10-1.47)], hypercholesterolemia [education-RII = 1.15 (1.00-1.32)], and sedentarity [education-RII = 1.95 (1.52-2.51), income-RII = 1.69 (1.28-2.23)], and appeared to have reversed for hazardous alcohol use [income-RII = 0.75 (0.60-0.93)]. Substantial and persistent relative and absolute inequalities in diabetes prevalence were observed [education-RII = 2.39 (1.75-3.27), income-RII = 3.18 (2.25-4.48), and subsidy-RII = 2.77 (1.89-4.05)]. Inequalities were also marked across all socioeconomic indicators for obesity prevalence [education-RII = 3.32 (2.63-4.19), income-RII = 2.37 (1.85-3.04), subsidy-RII = 1.98 (1.48-2.66)] and for smoking [education-RII = 2.42 (2.06-2.84), income-RII = 2.37 (1.99-2.84), subsidy-RII = 1.91 (1.56-2.35)]. Conclusions: Over 12 years in Geneva, Switzerland, socioeconomic inequalities in hypertension, hypercholesterolemia, hazardous alcohol use, and sedentarity decreased but persist, while substantial inequalities in diabetes, obesity, and smoking remained unchanged.
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OBJECTIVE: To further examine the relationship between bedtime media use and sleep in adults by taking relevant covariates into account and testing hypothesised mediating and moderating pathways. METHODS: Bedtime media use and sleep outcomes were examined by questionnaire in 4188 adults (59 % women, aged 19-94 years) from the Specchio cohort based in Geneva, Switzerland. We tested associations between bedtime media use and sleep (bedtimes, rise times, sleep latency, sleep duration, sleep quality, insomnia, and daytime sleepiness), adjusting for prior sleep, mental health, and health behaviours; whether bedtime media use mediates associations between individual susceptibility factors (age, chronotype, and mental health) and sleep; and whether individual susceptibility factors moderate associations between bedtime media use and sleep. RESULTS: Often using a screen in the 30 minutes before going to sleep at night was associated with a late bedtime (≥midnight; OR [95 % CI] = 1.90 [1.44,2.51], p < 0.001), a short sleep duration (<7 h; 1.21 [1.01,1.46], p < 0.05), and excessive daytime sleepiness (Epworth score >9; 1.47 [1.25,1.74], p < 0.001), adjusting for all covariates. Bedtime media use partly mediated the association between younger age and an evening chronotype and these sleep outcomes. Mental health moderated the association between bedtime media use and sleep quality/insomnia, such that the former was only associated with poorer sleep quality/insomnia among individuals with better mental health. CONCLUSIONS: Frequent bedtime media use was associated with various sleep outcomes, independently of relevant covariates. Limiting the use of screens at bedtime is important to promote sleep among adults. Individuals with poorer mental health likely require additional support to improve their sleep quality.
Subject(s)
Sleep , Humans , Female , Male , Adult , Middle Aged , Surveys and Questionnaires , Switzerland/epidemiology , Aged , Cohort Studies , Sleep/physiology , Sleep Initiation and Maintenance Disorders/epidemiology , Aged, 80 and over , Sleep Quality , Screen Time , Time FactorsABSTRACT
Objectives: To assess the association between socioeconomic status (SES) and self-reported adherence to preventive measures in Switzerland during the COVID-19 pandemic. Methods: 4,299 participants from a digital cohort were followed between September 2020 and November 2021. Baseline equivalised disposable income and education were used as SES proxies. Adherence was assessed over time. We investigated the association between SES and adherence using multivariable mixed logistic regression, stratifying by age (below/above 65 years) and two periods (before/after June 2021, to account for changes in vaccine coverage and epidemiological situation). Results: Adherence was high across all SES strata before June 2021. After, participants with higher equivalised disposable income were less likely to adhere to preventive measures compared to participants in the first (low) quartile [second (Adj.OR, 95% CI) (0.56, 0.37-0.85), third (0.38, 0.23-0.64), fourth (0.60, 0.36-0.98)]. We observed similar results for education. Conclusion: No differences by SES were found during the period with high SARS-CoV-2 incidence rates and stringent measures. Following the broad availability of vaccines, lower incidence, and eased measures, differences by SES started to emerge. Our study highlights the need for contextual interpretation when assessing SES impact on adherence to preventive measures.
Subject(s)
COVID-19 , SARS-CoV-2 , Social Class , Humans , COVID-19/prevention & control , COVID-19/epidemiology , Switzerland/epidemiology , Male , Female , Middle Aged , Adult , Aged , Cohort Studies , Patient Compliance/statistics & numerical data , PandemicsABSTRACT
PURPOSE: Socioeconomic status (SES) influences the survival outcomes of patients with early breast cancer (EBC). However, limited research investigates social inequalities in their quality of life (QoL). This study examines the socioeconomic inequalities in QoL after an EBC diagnosis and their time trends. PATIENTS AND METHODS: We used data from the French prospective multicentric CANTO cohort (ClinicalTrials.gov identifier: NCT01993498), including women with EBC enrolled between 2012 and 2018. QoL was assessed using the European Organisation for Research and Treatment of Cancer QoL Core 30 questionnaire (QLQ-C30). summary score at diagnosis and 1 and 2 years postdiagnosis. We considered three indicators of SES separately: self-reported financial difficulties, household income, and educational level. We first analyzed the trajectories of the QLQ-C30 summary score by SES group. Then, social inequalities in QLQ-C30 summary score and their time trends were quantified using the regression-based slope index of inequality (SII), representing the absolute change in the outcome along socioeconomic gradient extremes. The analyses were adjusted for age at diagnosis, Charlson Comorbidity Index, disease stage, and type of local and systemic treatment. RESULTS: Among the 5,915 included patients with data on QoL at diagnosis and at the 2-year follow-up, social inequalities in QLQ-C30 summary score at baseline were statistically significant for all SES indicators (SIIfinancial difficulties = -7.6 [-8.9; -6.2], SIIincome = -4.0 [-5.2; -2.8]), SIIeducation = -1.9 [-3.1; -0.7]). These inequalities significantly increased (interaction P < .05) in year 1 and year 2 postdiagnosis, irrespective of prediagnosis health, tumor characteristics, and treatment. Similar results were observed in subgroups defined by menopausal status and type of adjuvant systemic treatment. CONCLUSION: The magnitude of preexisting inequalities in QoL increased over time after EBC diagnosis, emphasizing the importance of considering social determinants of health during comprehensive cancer care planning.
Subject(s)
Breast Neoplasms , Quality of Life , Socioeconomic Factors , Humans , Breast Neoplasms/therapy , Breast Neoplasms/psychology , Breast Neoplasms/economics , Female , Middle Aged , France , Prospective Studies , Aged , Adult , Social Class , Surveys and QuestionnairesABSTRACT
BACKGROUND: Mental health deteriorated in the early stages of the COVID-19 pandemic, but improved relatively quickly as restrictions were eased, suggesting overall resilience. However, longer-term follow-up of mental health in the general population is scarce. METHODS: We examined mental health trajectories in 5624 adults (58 % women; aged 18-97 years) from the Specchio-COVID19 cohort, using the Generalized Anxiety Disorder scale-2 and the Patient Health Questionnaire-2, administered each month from February to June 2021, and in Spring 2022 and 2023. RESULTS: Depressive and anxiety symptoms declined during a pandemic wave from February to May 2021 (ß = -0.06 [-0.07, -0.06]; -0.06 [-0.07, -0.05]), and remained lower at longer-term follow-up than at the start of the wave. Loneliness also declined over time, with the greatest decline during the pandemic wave (ß = -0.25 [-0.26, -0.24]). Many higher-risk groups, including socioeconomically disadvantaged individuals, those with a chronic condition, and those living alone had poorer mental health levels throughout the study period. Women and younger individuals had a faster improvement in mental health during the pandemic wave. Loneliness trajectories were associated with mental health trajectories throughout the study period. LIMITATIONS: We cannot definitively conclude that the observed changes in mental health were due to experiences of the pandemic. CONCLUSIONS: While there was a need for additional mental health support during stricter policy responses to COVID-19, overall, mental health improved relatively soon after measures were eased. Nevertheless, the persistence of mental health disparities highlights the need for further efforts from the government and healthcare practitioners to support vulnerable groups beyond the pandemic.
Subject(s)
Anxiety , COVID-19 , Depression , Loneliness , Mental Health , Humans , COVID-19/psychology , COVID-19/epidemiology , Female , Adult , Middle Aged , Male , Aged , Switzerland/epidemiology , Aged, 80 and over , Adolescent , Young Adult , Mental Health/statistics & numerical data , Anxiety/epidemiology , Anxiety/psychology , Loneliness/psychology , Depression/epidemiology , Depression/psychology , SARS-CoV-2 , Risk FactorsABSTRACT
BACKGROUND AND OBJECTIVES: Pandemic-related life changes may have had a deleterious impact on suicidal behaviours. Early detection of suicidal ideation and identification of subgroups at increased risk could help prevent suicide, one of the leading causes of death among adolescents worldwide. Here, we aimed to investigate the prevalence of and risk factors for suicidal ideation in adolescents using a population-based sample from Switzerland, two years into the pandemic. METHODS: Between December 2021 and June 2022, adolescents aged 14 to 17 years already enrolled in a population-based cohort study (State of Geneva, Switzerland) were asked about suicidal ideation over the previous year. In addition to a regression model, we conducted a network analysis of exposures which identified direct and indirect risk factors for suicidal ideation (i.e. those connected through intermediate risk factors) using mixed graphical models. RESULTS: Among 492 adolescents, 14.4% (95% CI: 11.5-17.8) declared having experienced suicidal ideation over the previous year. Using network analysis, we found that high psychological distress, low self-esteem, identifying as lesbian, gay or bisexual, suffering from bullying, extensive screen time and a severe COVID-19 pandemic impact were major risk factors for suicidal ideation, with parent-adolescent relationship having the highest centrality strength in the network. CONCLUSION: Our results show that a significant proportion of adolescents experience suicidal ideation, yet these rates are comparable with pre-pandemic results. Providing psychological support is fundamental, with a focus on improving parent-adolescent relationships.
Subject(s)
COVID-19 , Suicidal Ideation , Humans , Adolescent , COVID-19/psychology , COVID-19/epidemiology , Female , Male , Switzerland/epidemiology , Risk Factors , Cross-Sectional Studies , Prevalence , SARS-CoV-2 , Bullying/psychology , Bullying/statistics & numerical data , Self Concept , Pandemics , Sexual and Gender Minorities/psychology , Sexual and Gender Minorities/statistics & numerical data , Screen Time , Psychological DistressABSTRACT
Despite major advances, our understanding of the neurobiology of life course socioeconomic conditions is still scarce. This study aimed to provide insight into the pathways linking socioeconomic exposures-household income, last known occupational position, and life course socioeconomic trajectories-with brain microstructure and cognitive performance in middle to late adulthood. We assessed socioeconomic conditions alongside quantitative relaxometry and diffusion-weighted magnetic resonance imaging indicators of brain tissue microstructure and cognitive performance in a sample of community-dwelling men and women (N = 751, aged 50-91 years). We adjusted the applied regression analyses and structural equation models for the linear and nonlinear effects of age, sex, education, cardiovascular risk factors, and the presence of depression, anxiety, and substance use disorders. Individuals from lower-income households showed signs of advanced brain white matter (WM) aging with greater mean diffusivity (MD), lower neurite density, lower myelination, and lower iron content. The association between household income and MD was mediated by neurite density (B = 0.084, p = 0.003) and myelination (B = 0.019, p = 0.009); MD partially mediated the association between household income and cognitive performance (B = 0.017, p < 0.05). Household income moderated the relation between WM microstructure and cognitive performance, such that greater MD, lower myelination, or lower neurite density was only associated with poorer cognitive performance among individuals from lower-income households. Individuals from higher-income households showed preserved cognitive performance even with greater MD, lower myelination, or lower neurite density. These findings provide novel mechanistic insights into the associations between socioeconomic conditions, brain anatomy, and cognitive performance in middle to late adulthood.
Subject(s)
Brain , Cognition , White Matter , Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Cognition/physiology , White Matter/diagnostic imaging , Brain/diagnostic imaging , Socioeconomic Factors , Aging/physiology , Aging/psychology , Diffusion Magnetic Resonance Imaging , IncomeABSTRACT
BACKGROUND: Self-rated health is a subjective yet valuable indicator of overall health status, influenced by various factors including physical, psychological, and socio-economic elements. Self-rated health could be telling and used by primary care physicians to evaluate overall present and predictive health. DESIGN: This study investigates the longitudinal evolution of self-rated health in Switzerland during the COVID-19 pandemic, focusing on the association of persistently favorable self-rated health with various predictors. PARTICIPANTS: This study based on the Specchio cohort, a population-based digital study in Geneva Switzerland, involved participants completing questionnaires from 2021 to 2023. MAIN MEASURES: Self-rated health was assessed alongside factors like physical and mental health, socio-economic status, and lifestyle behaviors. KEY RESULTS: The study included 7006 participants in 2021, and 3888 participants who answered all three follow-ups (2021, 2022, and 2023). At baseline, 34.9% of individuals reported very good, 54.6% reported good, 9.6% reported average, and 1.0% reported poor to very poor self-rated health. Overall, 29.1% had a worsening in their self-rated health between 2021 and 2023. A subset of participants (12.1%) maintained very good self-rated health throughout, demonstrating persistently favorable self-rated health during the COVID-19 pandemic. Positive health behaviors were associated with persistently favorable self-rated health (exercise aOR 1.13 [1.03-1.24]; healthy diet aOR 2.14 [1.70-2.68]; less screen time aOR 1.28 [1.03-1.58]; and better sleep quality aOR 2.48 [2.02-3.04]). Mental health and social support also played significant roles. CONCLUSION: The study underscores the significance of healthy lifestyle choices and social support in maintaining favorable self-rated health, particularly during challenging times like the COVID-19 pandemic. Primary care physicians should focus on promoting these factors, integrating these actions in their routine consultations, and advising patients to undertake in socially engaging activities to improve overall health perceptions and outcomes.
Subject(s)
COVID-19 , Health Behavior , Health Status , Humans , Switzerland/epidemiology , COVID-19/epidemiology , COVID-19/psychology , Male , Female , Middle Aged , Longitudinal Studies , Adult , Aged , Self Report , SARS-CoV-2 , Diagnostic Self EvaluationSubject(s)
COVID-19/complications , Child , Humans , Longitudinal Studies , Systemic Inflammatory Response SyndromeABSTRACT
Objectives: Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use in a localized context of the SARS-CoV-2 pandemic. Methods: We report findings from two population-based longitudinal cohorts in Switzerland from January to December 2021. Failure time analyses and Cox proportional hazards regression models were conducted to assess vaccine uptake and digital proximity tracing app (SwissCovid) uninstalling outcomes. Results: We observed a dichotomy of individuals who did not use the SwissCovid app and did not get vaccinated, and who used the SwissCovid app and got vaccinated during the study period. Increased vaccine uptake was observed with SwissCovid app use (aHR, 1.51; 95% CI: 1.40-1.62 [CI-DFU]; aHR, 1.79; 95% CI: 1.62-1.99 [CSM]) compared to SwissCovid app non-use. Decreased SwissCovid uninstallation risk was observed for participants who got vaccinated (aHR, 0.55; 95% CI: 0.38-0.81 [CI-DFU]; aHR, 0.45; 95% CI: 0.27-0.78 [CSM]) compared to participants who did not get vaccinated. Conclusion: In evolving epidemic contexts, these findings underscore the need for communication strategies as well as flexible digital proximity tracing app adjustments that accommodate different preventive measures and their anticipated interactions.
Subject(s)
COVID-19 , Mobile Applications , Humans , COVID-19 Vaccines/therapeutic use , Switzerland/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , SARS-CoV-2 , Pandemics , Cohort StudiesABSTRACT
Background: Children and adolescents are highly vulnerable to the impact of sustained stressors during developmentally sensitive times. We investigated how demographic characteristics intersect with socioeconomic dimensions to shape the social patterning of quality of life and mental health in children and adolescents, two years into the COVID-19 pandemic. Methods: We used data from the prospective SEROCoV-KIDS cohort study of children and adolescents living in Geneva (Switzerland, 2022). We conducted an intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy by nesting participants within 48 social strata defined by intersecting sex, age, immigrant background, parental education and financial hardship in Bayesian multilevel logistic models for poor health-related quality of life (HRQoL, measured with PedsQL) and mental health difficulties (measured with the Strengths and Difficulties Questionnaire). Results: Among participants aged 2-17 years, 240/2096 (11.5%, 95%CI 10.1-12.9) had poor HRQoL and 105/2135 (4.9%, 95%CI 4.0-5.9) had mental health difficulties. The predicted proportion of poor HRQoL ranged from 3.4% for 6-11 years old Swiss girls with highly educated parents and no financial hardship to 34.6% for 12-17 years old non-Swiss girls with highly educated parents and financial hardship. Intersectional strata involving adolescents and financial hardship showed substantially worse HRQoL than their counterparts. Between-stratum variations in the predicted frequency of mental health difficulties were limited (range 4.4%-6.5%). Conclusions: We found considerable differences in adverse outcomes across social strata. Our results suggest that, post-pandemic, interventions to address social inequities in HRQoL should focus on specific intersectional strata involving adolescents and families experiencing financial hardship, while those aiming to improve mental health should target all children and adolescents.
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The primary objective of this study was to compare the plasma levels of copper, selenium, and zinc between critically ill COVID-19 patients and less severe COVID-19 patients. The secondary objective was to investigate the association of these trace element levels with adverse outcomes, including the duration of mechanical ventilation, occurrence of septic shock, and mortality in critically ill COVID-19 patients. All COVID-19 patients admitted to the ICU of the Geneva University Hospitals between 9 March 2020 and 19 May 2020 were included in the study. Plasma levels of copper, selenium and zinc were measured on admission to the ICU and compared with levels measured in COVID-19 patients hospitalized on the ward and in non-hospitalized COVID-19 patients. To analyze the association of trace elements with clinical outcomes, multivariate linear and logistic regressions were performed. Patients in the ICU had significantly lower levels of selenium and zinc and higher levels of copper compared to COVID-19 patients hospitalized on the ward and in non-hospitalized COVID-19 patients. In ICU patients, lower zinc levels tended to be associated with more septic shock and increased mortality compared to those with higher zinc levels (p = 0.07 for both). Having lower copper or selenium levels was associated with a longer time under mechanical ventilation (p = 0.01 and 0.04, respectively). These associations remained significant in multivariate analyses (p = 0.03 for copper and p = 0.04 for selenium). These data support the need for interventional studies to assess the potential benefit of zinc, copper and selenium supplementation in severe COVID-19 patients.
Subject(s)
COVID-19 , Selenium , Shock, Septic , Trace Elements , Humans , Copper , Critical Illness , ZincABSTRACT
Background: Malnutrition and food insecurity might be driven not only by individual factors but also by contextual conditions, such as area-level deprivation or vulnerability. This study aimed to analyze the association between area-level vulnerability and i) household food insecurity and ii) malnutrition in children in Medellin, Colombia, during the years 2017 and 2018. Methods: We obtained data from two different sources: the Living Standards Measurement Survey (LSMS) and the nutrition surveillance system of Medellin. The main outcomes were food insecurity in households with children and anthropometric indicators for children under five. The main predictor was area-level vulnerability. Mixed effects Poisson regression with robust standard errors models were conducted to test the association of quintiles of deprivation with each outcome. Findings: Households with children living in areas with the highest deprivation had 1.9 times the prevalence of food insecurity as compared to those living in areas with the lowest deprivation (PR 1.91, 95% CI 1.42-2.57). Similar results were observed for underweight/risk of underweight (PR 1.26, 95% CI 1.11-1.42), stunting/risk of stunting (PR 1.36, 95% CI 1.22-1.53) and stunting (PR 1.93 95% CI 1.55-2.39) among children under five. We found no consistent associations with wasting/risk of wasting or excess weight/risk of overweight across quintiles of deprivation. Interpretation: This study sheds light on the role of area-level vulnerability on malnutrition in children in Medellin, Colombia, showing a pattern of increasing prevalence of food insecurity, underweight and stunting by quintile of deprivation. Funding: Swiss School of Public Health (SSPH+) and Centre for Global Health Inequalities Research (CHAIN).
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Objectives: We compared socio-demographic characteristics, health-related variables, vaccination-related beliefs and attitudes, vaccination acceptance, and personality traits of individuals who vaccinated against COVID-19 and who did not vaccinate by December 2021. Methods: This cross-sectional study used data of 10,642 adult participants from the Corona Immunitas eCohort, an age-stratified random sample of the population of several cantons in Switzerland. We used multivariable logistic regression models to explore associations of vaccination status with socio-demographic, health, and behavioral factors. Results: Non-vaccinated individuals represented 12.4% of the sample. Compared to vaccinated individuals, non-vaccinated individuals were more likely to be younger, healthier, employed, have lower income, not worried about their health, have previously tested positive for SARS-CoV-2 infection, express lower vaccination acceptance, and/or report higher conscientiousness. Among non-vaccinated individuals, 19.9% and 21.3% had low confidence in the safety and effectiveness of SARS-CoV-2 vaccine, respectively. However, 29.1% and 26.7% of individuals with concerns about vaccine effectiveness and side effects at baseline, respectively vaccinated during the study period. Conclusion: In addition to known socio-demographic and health-related factors, non-vaccination was associated with concerns regarding vaccine safety and effectiveness.
Subject(s)
COVID-19 , Adult , Humans , Switzerland/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Cross-Sectional Studies , SARS-CoV-2ABSTRACT
We assessed 1) trends in prevalence, awareness, treatment and control rates of dyslipidaemia and associated factors, 2) the effect of statin generation/potency on control levels and 3) the effect of ESC lipid guidelines, on lipid management. Data from multiple cross-sectional, population-based surveys conducted between 2005 and 2019 in the canton of Geneva, Switzerland, were used. Prevalence, awareness, treatment and control rates of dyslipidaemia were 46.0% and 34.9% (p < 0.001), 67.0% and 77.3% (p = 0.124), 40.0% and 19.9% (p < 0.001), and 68.0% and 84.0% (p = 0.255), in 2005 and 2019, respectively. After multivariable adjustment, only the decrease in treatment rates was significant. Increasing age, higher BMI, history of hypertension or diabetes were positively associated with prevalence, while female sex was negatively associated. Female sex, history of diabetes or CVD were positively associated with awareness, while increasing age was negatively associated. Increasing age, smoking, higher BMI, history of hypertension, diabetes or CVD were positively associated with treatment, while female sex was negatively associated. Female sex was positively associated with control, while increasing age was negatively associated. Highly potent statins increased from 50.0% to 87.5% and third generation statins from 0% to 47.5% in 2009 and 2015, respectively. Increased statin potency was borderline (p = 0.059) associated with dyslipidaemia control. ESC guidelines had no effect regarding the prescription of more potent or higher generation statins. We conclude that in the canton of Geneva, treatment of diagnosed dyslipidaemia is low, but control is adequate. Women are undertreated but better controlled than men. The most potent hypolipidemic drugs are underused.
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Binding antibody levels against SARS-CoV-2 have shown to be correlates of protection against infection with pre-Omicron lineages. This has been challenged by the emergence of immune-evasive variants, notably the Omicron sublineages, in an evolving immune landscape with high levels of cumulative incidence and vaccination coverage. This in turn limits the use of widely available commercial high-throughput methods to quantify binding antibodies as a tool to monitor protection at the population-level. Here we show that anti-Spike RBD antibody levels, as quantified by the immunoassay used in this study, are an indirect correlate of protection against Omicron BA.1/BA.2 for individuals previously infected by SARS-CoV-2. Leveraging repeated serological measurements between April 2020 and December 2021 on 1083 participants of a population-based cohort in Geneva, Switzerland, and using antibody kinetic modeling, we found up to a three-fold reduction in the hazard of having a documented positive SARS-CoV-2 infection during the Omicron BA.1/BA.2 wave for anti-S antibody levels above 800 IU/mL (HR 0.30, 95% CI 0.22-0.41). However, we did not detect a reduction in hazard among uninfected participants. These results provide reassuring insights into the continued interpretation of SARS-CoV-2 binding antibody measurements as an independent marker of protection at both the individual and population levels.
Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Antibodies, Viral , Immune Evasion , Kinetics , Antibodies, NeutralizingABSTRACT
Our knowledge of the mechanisms underlying the vulnerability of the brain's white matter microstructure to cardiovascular risk factors (CVRFs) is still limited. We used a quantitative magnetic resonance imaging (MRI) protocol in a single centre setting to investigate the cross-sectional association between CVRFs and brain tissue properties of white matter tracts in a large community-dwelling cohort (n = 1104, age range 46-87 years). Arterial hypertension was associated with lower myelin and axonal density MRI indices, paralleled by higher extracellular water content. Obesity showed similar associations, though with myelin difference only in male participants. Associations between CVRFs and white matter microstructure were observed predominantly in limbic and prefrontal tracts. Additional genetic, lifestyle and psychiatric factors did not modulate these results, but moderate-to-vigorous physical activity was linked to higher myelin content independently of CVRFs. Our findings complement previously described CVRF-related changes in brain water diffusion properties pointing towards myelin loss and neuroinflammation rather than neurodegeneration.
Subject(s)
Cardiovascular Diseases , Myelin Sheath , Humans , Male , Middle Aged , Aged , Aged, 80 and over , Myelin Sheath/pathology , Cardiovascular Diseases/etiology , Cross-Sectional Studies , Risk Factors , Brain/diagnostic imaging , Brain/pathology , Aging/pathology , Heart Disease Risk Factors , WaterABSTRACT
OBJECTIVE: We aimed to examine factors associated with parental willingness to vaccinate their children against COVID-19. METHODS: We surveyed adults included in a digital longitudinal cohort study composed of participants in previous SARS-CoV-2 serosurveys conducted in Geneva, Switzerland. In February 2022, an online questionnaire collected information on COVID-19 vaccination acceptance, parental willingness to vaccinate their children aged ≥5 years and reasons for vaccination preference. We used multivariable logistic regression to assess the demographic, socioeconomic and health-related factors associated with being vaccinated and with parental intention to vaccinate their children. RESULTS: We included 1,383 participants (56.8% women; 69.3% aged 35-49 years). Parental willingness to vaccinate their children increased markedly with the child's age: 84.0%, 60.9% and 21.2%, respectively, for parents of adolescents aged 16-17 years, 12-15 years and 5-12 years. For all child age groups, unvaccinated parents more frequently indicated not intending to vaccinate their children than vaccinated parents. Refusal to vaccine children was associated with having a secondary education (1.73; 1.18-2.47) relative to a tertiary education and with middle (1.75; 1.18-2.60) and low (1.96; 1.20-3.22) household income relative to high income. Refusal to vaccine their children was also associated with only having children aged 12-15 years (3.08; 1.61-5.91), aged 5-11 years (19.77; 10.27-38.05), or in multiple age groups (6.05; 3.22-11.37), relative to only having children aged 16-17 years. CONCLUSION: Willingness to vaccinate children was high for parents of adolescents aged 16-17 years but decreased significantly with decreasing child age. Unvaccinated, socioeconomically disadvantaged parents and those with younger children were less likely to be willing to vaccinate their children. These results are important for vaccination programs and developing communication strategies to reach vaccine-hesitant groups, both in the context of COVID-19 and in the prevention of other diseases and future pandemics.
Subject(s)
COVID-19 , Adolescent , Adult , Humans , Child , Female , Aged, 80 and over , Male , COVID-19/prevention & control , Switzerland , SARS-CoV-2 , COVID-19 Vaccines , Cross-Sectional Studies , Longitudinal Studies , Parents , VaccinationABSTRACT
BACKGROUND: Allostatic load (AL) is a multi-system composite index for quantifying physiological dysregulation caused by life course stressors. For over 30 years, an extensive body of research has drawn on the AL framework but has been hampered by the lack of a consistent definition. METHODS: This study analyses data for 67,126 individuals aged 40-111 years participating in 13 different cohort studies and 40 biomarkers across 12 physiological systems: hypothalamic-pituitary-adrenal (HPA) axis, sympathetic-adrenal-medullary (SAM) axis, parasympathetic nervous system functioning, oxidative stress, immunological/inflammatory, cardiovascular, respiratory, lipidemia, anthropometric, glucose metabolism, kidney, and liver. We use individual-participant-data meta-analysis and exploit natural heterogeneity in the number and type of biomarkers that have been used across studies, but a common set of health outcomes (grip strength, walking speed, and self-rated health), to determine the optimal configuration of parameters to define the concept. RESULTS: There was at least one biomarker within 9/12 physiological systems that was reliably and consistently associated in the hypothesised direction with the three health outcomes in the meta-analysis of these cohorts: dehydroepiandrosterone sulfate (DHEAS), low frequency-heart rate variability (LF-HRV), C-reactive protein (CRP), resting heart rate (RHR), peak expiratory flow (PEF), high density lipoprotein cholesterol (HDL-C), waist-to-height ratio (WtHR), HbA1c, and cystatin C. An index based on five biomarkers (CRP, RHR, HDL-C, WtHR and HbA1c) available in every study was found to predict an independent outcome - mortality - as well or better than more elaborate sets of biomarkers. DISCUSSION: This study has identified a brief 5-item measure of AL that arguably represents a universal and efficient set of biomarkers for capturing physiological 'wear and tear' and a further biomarker (PEF) that could usefully be included in future data collection.
Subject(s)
Allostasis , Humans , Glycated Hemoglobin , Allostasis/physiology , Consensus , Biomarkers , C-Reactive Protein/analysis , Cohort StudiesABSTRACT
BACKGROUND: Sport participation is an important component of a healthy lifestyle and is known to be more common among privileged individuals. However, few studies examined socio-demographic patterns of participation by type of activity. This study aims at quantifying socio-economic inequalities in sport participation by sport type, and to analyse their trend over 15 years. METHODS: We used 2005-2019 data from the Bus Santé study, a yearly population-based cross-sectional survey of Geneva adults. Sport participation was defined as reporting at least one sporting activity over the previous week; educational level, household income and occupational position were used as indicators of socio-economic position. Socio-economic inequalities in sport participation, and their trend over time, were examined using the relative and slope indexes of inequality (RII/SII). RESULTS: Out of 7769 participants (50.8% women, mean age 46 years old), 60% participated in a sporting activity. Results showed that the higher the socioeconomic circumstances, the higher the sport participation (RII = 1.78; 95% Confidence Interval (CI): 1.64-1.92; SII = 0.33; 95%CI: 0.29-0.37 for education). Relative inequalities varied per sport e.g., 0.68 (95%CI: 0.44-1.07) for football and 4.25 (95%CI: 2.68-6.75) for tennis/badminton for education. Yearly absolute inequalities in sport participation tended to increase between 2005 and 2019 for household income, especially among women and older adults. CONCLUSIONS: We observed strong socio-economic inequalities in sport participation in Geneva, with different magnitude depending on the sport type. These inequalities seemed to increase over the 2005-2019 period. Our results call for tailored measures to promote the participation of socially disadvantaged populations in sporting activities.