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      Long-term impact of the COVID-19 pandemic on self-management of chronic conditions among high-risk adults in the USA: protocol for the C3 observational cohort study

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          Abstract

          Introduction

          COVID-19 is an unprecedented public health threat in modern times, especially for older adults or those with chronic illness. Beyond the threat of infection, the pandemic may also have longer-term impacts on mental and physical health. The COVID-19 & Chronic Conditions (‘C3’) study offers a unique opportunity to assess psychosocial and health/healthcare trajectories over 5 years among a diverse cohort of adults with comorbidities well-characterised from before the pandemic, at its onset, through multiple surges, vaccine rollouts and through the gradual easing of restrictions as society slowly returns to ‘normal’.

          Methods and analysis

          The C3 study is an extension of an ongoing longitudinal cohort study of ‘high-risk’ adults (aged 23–88 at baseline) with one or more chronic medical conditions during the COVID-19 pandemic. Five active studies with uniform data collection prior to COVID-19 were leveraged to establish the C3 cohort; 673 adults in Chicago were interviewed during the first week of the outbreak. The C3 cohort has since expanded to include 1044 participants across eight survey waves (T 1–T 8). Four additional survey waves (T 9–T 12) will be conducted via telephone interviews spaced 1 year apart and supplemented by electronic health record and pharmacy fill data, for a total of 5 years of data post pandemic onset. Measurement will include COVID-19-related attitudes/behaviours, mental health, social behaviour, lifestyle/health behaviours, healthcare use, chronic disease self-management and health outcomes. Mental health trajectories and associations with health behaviours/outcomes will be examined in a series of latent group and mixed effects modelling, while also examining mediating and moderating factors.

          Ethics and dissemination

          This study was approved by Northwestern University’s Feinberg School of Medicine Institutional Review Board (STU00215360). Results will be published in international peer-reviewed journals and summaries will be provided to the funders of the study.

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          Most cited references75

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          Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis

          Highlights • COVID -19 cases are now confirmed in multiple countries. • Assessed the prevalence of comorbidities in infected patients. • Comorbidities are risk factors for severe compared with non-severe patients. • Help the health sector guide vulnerable populations and assess the risk of deterioration.
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            SPSS and SAS procedures for estimating indirect effects in simple mediation models

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              • Article: not found

              Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions.

              This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We introduce standard errors for hypothesis testing and construction of confidence intervals in large samples but advocate that researchers use bootstrapping whenever possible. We also describe methods for probing significant conditional indirect effects by employing direct extensions of the simple slopes method and Johnson-Neyman technique for probing significant interactions. Finally, we provide an SPSS macro to facilitate the implementation of the recommended asymptotic and bootstrapping methods. We illustrate the application of these methods with an example drawn from the Michigan Study of Adolescent Life Transitions, showing that the indirect effect of intrinsic student interest on mathematics performance through teacher perceptions of talent is moderated by student math self-concept.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2023
                29 October 2023
                : 13
                : 10
                : e077911
                Affiliations
                [1 ]departmentPsychiatry and Behavioral Sciences , Ringgold_12244Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                [2 ]departmentGeneral Internal Medicine , Ringgold_12244Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                [3 ]departmentCenter for Applied Health Research on Aging , Ringgold_12244Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                [4 ]departmentPreventive Medicine (Biostatistics) , Ringgold_12244Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                [5 ]Ringgold_12228Yale School of Medicine , New Haven, Connecticut, USA
                [6 ]Icahn School of Medicine at Mount Sinai , New York City, New York, USA
                Author notes
                [Correspondence to ] Dr Rebecca Lovett; r-lovett@ 123456northwestern.edu
                Author information
                http://orcid.org/0000-0003-0169-9485
                http://orcid.org/0000-0003-0549-1809
                http://orcid.org/0000-0001-5104-9531
                http://orcid.org/0000-0002-8522-8869
                http://orcid.org/0000-0003-4812-5155
                http://orcid.org/0000-0002-2566-3789
                Article
                bmjopen-2023-077911
                10.1136/bmjopen-2023-077911
                10618985
                37899164
                fd1df441-0791-40c1-82fa-b1072a837912
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 20 July 2023
                : 02 October 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01AG075043-01
                Categories
                Infectious Diseases
                1506
                2474
                1706
                Protocol
                Custom metadata
                unlocked
                free

                Medicine
                covid-19,epidemiologic studies,public health,mental health,patient reported outcome measures

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