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689 results on '"Cullati, Stéphane"'

4. Seroprevalence trends of anti-SARS-CoV-2 antibodies and associated risk factors: a population-based study

Author

Tancredi, Stefano, Chiolero, Arnaud, Wagner, Cornelia, Haller, Moa Lina, Chocano-Bedoya, Patricia, Ortega, Natalia, Rodondi, Nicolas, Kaufmann, Laurent, Lorthe, Elsa, Baysson, Hélène, Stringhini, Silvia, Michel, Gisela, Lüdi, Chantal, Harju, Erika, Frank, Irene, Imboden, Medea, Witzig, Melissa, Keidel, Dirk, Probst-Hensch, Nicole, Amati, Rebecca, Albanese, Emiliano, Corna, Laurie, Crivelli, Luca, Vincentini, Julia, Gonseth Nusslé, Semira, Bochud, Murielle, D’Acremont, Valérie, Kohler, Philipp, Kahlert, Christian R., Cusini, Alexia, Frei, Anja, Puhan, Milo A., Geigges, Marco, Kaufmann, Marco, Fehr, Jan, and Cullati, Stéphane

Published
2023
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6. Changes in socioeconomic resources and mental health after the second COVID-19 wave (2020–2021): a longitudinal study in Switzerland

Author

Tancredi, Stefano, Ulytė, Agnė, Wagner, Cornelia, Keidel, Dirk, Witzig, Melissa, Imboden, Medea, Probst-Hensch, Nicole, Amati, Rebecca, Albanese, Emiliano, Levati, Sara, Crivelli, Luca, Kohler, Philipp, Cusini, Alexia, Kahlert, Christian, Harju, Erika, Michel, Gisela, Lüdi, Chantal, Ortega, Natalia, Baggio, Stéphanie, Chocano-Bedoya, Patricia, Rodondi, Nicolas, Ballouz, Tala, Frei, Anja, Kaufmann, Marco, Von Wyl, Viktor, Lorthe, Elsa, Baysson, Hélène, Stringhini, Silvia, Schneider, Valentine, Kaufmann, Laurent, Wieber, Frank, Volken, Thomas, Zysset, Annina, Dratva, Julia, and Cullati, Stéphane

Published
2023
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13. Dynamical analysis in a self-regulated system undergoing multiple excitations: first order differential equation approach

Author

Mongin, Denis, Uribe, Adriana, Gateau, Julien, Gencer, Baris, Cheval, Boris, Cullati, Stéphane, and Courvoisier, Delphine S.

Subjects
Statistics - Applications
Abstract

This article proposes a dynamical system modeling approach for the analysis of longitudinal data of self-regulated systems experiencing multiple excitations. The aim of such an approach is to focus on the evolution of a signal (e.g., heart rate) before, during, and after excitations taking the system out of its equilibrium (e.g., physical effort during cardiac stress testing). Dynamical modeling can be applied to a broad range of outcomes such as physiological processes in medicine and psychosocial processes in social sciences, and it allows to extract simple characteristics of the signal studied. The model we propose is based on a first order linear differential equation defined by three main parameters corresponding to the initial equilibrium value, the dynamic characteristic time, and the reaction to the excitation. In this paper, several estimation procedures for this model are considered and tested in a simulation study, that clarifies under which conditions accurate estimates are provided. Finally, applications of this model are illustrated using cardiology data recorded during effort tests.

Published
2018
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26. Is living in a household with children associated with SARS-CoV-2 seropositivity in adults? Results from the Swiss national seroprevalence study Corona Immunitas

Author

Blankenberger, Jacob, Kaufmann, Marco, Albanese, Emiliano, Amati, Rebecca, Anker, Daniela, Camerini, Anne-Linda, Chocano-Bedoya, Patricia, Cullati, Stéphane, Cusini, Alexia, Fehr, Jan, Harju, Erika, Kohler, Philipp, Kriemler, Susi, Michel, Gisela, Rodondi, Nicolas, Rodondi, Pierre-Yves, Speierer, Alexandre, Tancredi, Stefano, Puhan, Milo A., and Kahlert, Christian R.

Published
2022
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30. Development of a patient-centred tool for use in total hip arthroplasty.

Author

Lübbeke, Anne, Cullati, Stéphane, Baréa, Christophe, Cole, Sophie, Fabiano, Gianluca, Silman, Alan, Gutacker, Nils, Agoritsas, Thomas, Hannouche, Didier, and Pinedo-Villanueva, Rafael

Subjects
*PATIENTS' attitudes, *PATIENT experience, *TOTAL hip replacement, *PERIPROSTHETIC fractures, *REOPERATION
Abstract

Background: The aim of this project was to develop a tool using the experience of previous patients to inform patient-centred clinical decision-making in the context of total hip arthroplasty (THA). We sought out the patients' views on what is important for them, leveraging registry data, and providing outcome information that is perceived as relevant, understandable, adapted to a specific patient's profile, and readily available. Methods: We created the information tool "Patients like me" in four steps. (1) The knowledge basis was the systematically collected detailed exposure and outcome information from the Geneva Arthroplasty Registry established 1996. (2) From the registry we randomly selected 275 patients about to undergo or having already undergone THA and asked them via interviews and a survey which benefits and harms associated with the operation and daily life with the prosthesis they perceived as most important. (3) The identified relevant data (39 predictor candidates, 15 outcomes) were evaluated using Conditional Inference Trees analysis to construct a classification algorithm for each of the 15 outcomes at three different time points/periods. Internal validity of the results was tested using bootstrapping. (4) The tool was designed by and pre-tested with patients over several iterations. Results: Data from 6836 primary elective THAs operated between 1996 and 2019 were included. The trajectories for the 15 outcomes from the domains pain relief, activity improvement, complication (infection, dislocation, peri-prosthetic fracture) and what to expect in the future (revision surgery, need for contralateral hip replacement) over up to 20 years after surgery were presented for all patients and for specific patient profiles. The tool was adapted to various purposes including individual use, group sessions, patient-clinician interaction and surgeon information to complement the preoperative planning. The pre-test patients' feedback to the tool was unanimously positive. They considered it interesting, clear, complete, and complementary to other information received. Conclusion: The tool based on a survey of patients' perceived concerns and interests and the corresponding long-term data from a large institutional registry makes past patients' experience accessible, understandable, and visible for today's patients and their clinicians. It is a comprehensive illustration of trajectories of relevant outcomes from previous "Patients like me". This principle and methodology can be applied in other medical fields. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Life course epidemiology and public health

Author

Wagner, Cornelia, primary, Carmeli, Cristian, additional, Jackisch, Josephine, additional, Kivimäki, Mika, additional, van der Linden, Bernadette W A, additional, Cullati, Stéphane, additional, and Chiolero, Arnaud, additional

Published
2024
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36. Socioeconomic Status and Adherence to Preventive Measures During the COVID-19 Pandemic in Switzerland: A Population Based Digital Cohort Analysis

Author

Tancredi, Stefano, van der Linden, Bernadette W A; https://orcid.org/0000-0002-4815-2121, Chiolero, Arnaud, Cullati, Stéphane, Imboden, Medea, Probst-Hensch, Nicole; https://orcid.org/0000-0001-8561-5976, Keidel, Dirk, Witzig, Melissa, Dratva, Julia; https://orcid.org/0000-0002-9003-2027, Michel, Gisela; https://orcid.org/0000-0002-9589-0928, Harju, Erika; https://orcid.org/0000-0003-0791-6997, Frank, Irene, Lorthe, Elsa, Baysson, Hélène, Stringhini, Silvia; https://orcid.org/0000-0002-4387-8943, Kahlert, Christian R; https://orcid.org/0000-0002-0784-3276, Bardoczi, Julia B, Haller, Moa Lina, Chocano-Bedoya, Patricia O; https://orcid.org/0000-0002-6980-3931, Rodondi, Nicolas; https://orcid.org/0000-0001-9083-6896, Amati, Rebecca; https://orcid.org/0000-0001-5698-9071, Albanese, Emiliano; https://orcid.org/0000-0001-7330-8530, Corna, Laurie, Crivelli, Luca; https://orcid.org/0000-0002-0206-0918, Kaufmann, Marco; https://orcid.org/0000-0002-4810-7734, Frei, Anja; https://orcid.org/0000-0002-7134-1000, von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797, Tancredi, Stefano, van der Linden, Bernadette W A; https://orcid.org/0000-0002-4815-2121, Chiolero, Arnaud, Cullati, Stéphane, Imboden, Medea, Probst-Hensch, Nicole; https://orcid.org/0000-0001-8561-5976, Keidel, Dirk, Witzig, Melissa, Dratva, Julia; https://orcid.org/0000-0002-9003-2027, Michel, Gisela; https://orcid.org/0000-0002-9589-0928, Harju, Erika; https://orcid.org/0000-0003-0791-6997, Frank, Irene, Lorthe, Elsa, Baysson, Hélène, Stringhini, Silvia; https://orcid.org/0000-0002-4387-8943, Kahlert, Christian R; https://orcid.org/0000-0002-0784-3276, Bardoczi, Julia B, Haller, Moa Lina, Chocano-Bedoya, Patricia O; https://orcid.org/0000-0002-6980-3931, Rodondi, Nicolas; https://orcid.org/0000-0001-9083-6896, Amati, Rebecca; https://orcid.org/0000-0001-5698-9071, Albanese, Emiliano; https://orcid.org/0000-0001-7330-8530, Corna, Laurie, Crivelli, Luca; https://orcid.org/0000-0002-0206-0918, Kaufmann, Marco; https://orcid.org/0000-0002-4810-7734, Frei, Anja; https://orcid.org/0000-0002-7134-1000, and von Wyl, Viktor; https://orcid.org/0000-0002-8754-9797

Abstract

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.

Published
2024

37. Socioeconomic Status and Adherence to Preventive Measures During the COVID-19 Pandemic in Switzerland: A Population Based Digital Cohort Analysis

Author

Michel, Gisela, Harju, Erika, Frank, Irène, Tancredi, Stefano, van der Linden, Bernadette W. A., Chiolero, Arnaud, Cullati, Stéphane, Imboden, Medea, Probst-Hensch, Nicole, Keidel, Dirk, Witzig, Melissa, Dratva, Julia, Frank, Irene, Lorthe, Elsa, Baysson, Hélène, Stringhini, Silvia, Kahlert, Christian R., Bardoczi, Julia B., Haller, Moa Lina, Chocano-Bedoya, Patricia O., Rodondi, Nicolas, Amati, Rebecca, Albanese, Emiliano, Corna, Laurie, Crivelli, Luca, Kaufmann, Marco, Frei, Anja, von Wyl, Viktor, Michel, Gisela, Harju, Erika, Frank, Irène, Tancredi, Stefano, van der Linden, Bernadette W. A., Chiolero, Arnaud, Cullati, Stéphane, Imboden, Medea, Probst-Hensch, Nicole, Keidel, Dirk, Witzig, Melissa, Dratva, Julia, Frank, Irene, Lorthe, Elsa, Baysson, Hélène, Stringhini, Silvia, Kahlert, Christian R., Bardoczi, Julia B., Haller, Moa Lina, Chocano-Bedoya, Patricia O., Rodondi, Nicolas, Amati, Rebecca, Albanese, Emiliano, Corna, Laurie, Crivelli, Luca, Kaufmann, Marco, Frei, Anja, and von Wyl, Viktor

Abstract

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., + ID der Publikation: unilu_75292 + Sprache: Englisch + Bemerkungen: Article 1606861 + Letzte Aktualisierung: 2024-07-16 13:58:51

Published
2024

38. Life course epidemiology and public health

Author

Wagner, Cornelia, Carmeli, Cristian, Jackisch, Josephine, Kivimäki, Mika, Linden, Bernadette W. A. van der, Cullati, Stéphane, Chiolero, Arnaud, Wagner, Cornelia, Carmeli, Cristian, Jackisch, Josephine, Kivimäki, Mika, Linden, Bernadette W. A. van der, Cullati, Stéphane, and Chiolero, Arnaud

Abstract

Life course epidemiology aims to study the effect of exposures on health outcomes across the life course from a social, behavioural, and biological perspective. In this Review, we describe how life course epidemiology changes the way the causes of chronic diseases are understood, with the example of hypertension, breast cancer, and dementia, and how it guides prevention strategies. Life course epidemiology uses complex methods for the analysis of longitudinal, ideally population-based, observational data and takes advantage of new approaches for causal inference. It informs primordial prevention, the prevention of exposure to risk factors, from an eco-social and life course perspective in which health and disease are conceived as the results of complex interactions between biological endowment, health behaviours, social networks, family influences, and socioeconomic conditions across the life course. More broadly, life course epidemiology guides population-based and high-risk prevention strategies for chronic diseases from the prenatal period to old age, contributing to evidence-based and data-informed public health actions. In this Review, we assess the contribution of life course epidemiology to public health and reflect on current and future challenges for this field and its integration into policy making.

Published
2024
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47. Lack of social support, gender and colorectal cancer screening participation across Europe: How do screening programmes mitigate the effect of social support for men and women?

Author

Jolidon, Vladimir, De Prez, Vincent, Bracke, Piet, Cullati, Stéphane, and Burton‐Jeangros, Claudine

Subjects
SOCIAL determinants of health, INDEPENDENT living, RESEARCH funding, EARLY detection of cancer, SEX distribution, LOGISTIC regression analysis, QUESTIONNAIRES, EVALUATION of human services programs, COLORECTAL cancer, CANCER patients, DESCRIPTIVE statistics, POPULATION geography, LONELINESS, SURVEYS, ATTENTION, HEALTH behavior, SOCIAL support, COMPARATIVE studies, PREVENTIVE health services
Abstract

This study investigates how a lack of social support differentially affects men and women's colorectal cancer (CRC) screening participation, considering different screening strategies implemented across European countries. Although health sociology has stressed gender differences in social support and its effects on health behaviours, this was overlooked by cancer screening research. Using a data set of 65,961 women and 55,602 men in 31 European countries, we analysed the effect of social support variables on CRC screening uptake. We found that living alone and lower perceived social support were associated with lower screening uptake for both men and women. These effects were, however, stronger among men. Population‐based screening programmes mitigated these effects, particularly for women, but not for men living alone. In countries with opportunistic screening programmes, social support variables remained associated with screening uptake. We conclude that cancer screening interventions should pay attention to social support and its gender‐differentiated effects. [ABSTRACT FROM AUTHOR]

Published
2024
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