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Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46
OBJECTIVE: Identifying and recruiting people with early pre-symptomatic Alzheimer’s disease to neuroimaging research studies is increasingly important. The extent to which results of these studies can be generalised depends on the recruitment and representativeness of the participants involved. We n...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293512/ https://www.ncbi.nlm.nih.gov/pubmed/30545411 http://dx.doi.org/10.1186/s13104-018-3995-0 |
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author | James, Sarah-Naomi Lane, Christopher A. Parker, Thomas D. Lu, Kirsty Collins, Jessica D. Murray-Smith, Heidi Byford, Michelle Wong, Andrew Keshavan, Ashvini Buchanan, Sarah Keuss, Sarah E. Kuh, Diana Fox, Nick C. Schott, Jonathan M. Richards, Marcus |
author_facet | James, Sarah-Naomi Lane, Christopher A. Parker, Thomas D. Lu, Kirsty Collins, Jessica D. Murray-Smith, Heidi Byford, Michelle Wong, Andrew Keshavan, Ashvini Buchanan, Sarah Keuss, Sarah E. Kuh, Diana Fox, Nick C. Schott, Jonathan M. Richards, Marcus |
author_sort | James, Sarah-Naomi |
collection | PubMed |
description | OBJECTIVE: Identifying and recruiting people with early pre-symptomatic Alzheimer’s disease to neuroimaging research studies is increasingly important. The extent to which results of these studies can be generalised depends on the recruitment and representativeness of the participants involved. We now report the recruitment and participation patterns from a neuroscience sub-study of the MRC National Survey of Health and Development, “Insight 46”. This study aimed to recruit 500 participants for extensive clinical and neuropsychological testing, and neuroimaging. We investigate how sociodemographic factors, health conditions and health-related behaviours predict participation at different levels of recruitment. RESULTS: We met our target recruitment (n = 502). Higher educational attainment and non-manual socio-economic position (SEP) were consistent predictors of recruitment. Health-related variables were also predictive at every level of recruitment; in particular higher cognition, not smoking and better self-rating health. Sex and APOE-e4 status were not predictors of participation at any level. Whilst recruitment targets were met, individuals with lower SEP, lower cognition, and more health problems are under-represented in Insight 46. Understanding the factors that influence recruitment are important when interpreting results; for Insight 46 it is likely that health-related outcomes and life course risks will under-estimate those seen in the general population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3995-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6293512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62935122018-12-17 Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 James, Sarah-Naomi Lane, Christopher A. Parker, Thomas D. Lu, Kirsty Collins, Jessica D. Murray-Smith, Heidi Byford, Michelle Wong, Andrew Keshavan, Ashvini Buchanan, Sarah Keuss, Sarah E. Kuh, Diana Fox, Nick C. Schott, Jonathan M. Richards, Marcus BMC Res Notes Research Note OBJECTIVE: Identifying and recruiting people with early pre-symptomatic Alzheimer’s disease to neuroimaging research studies is increasingly important. The extent to which results of these studies can be generalised depends on the recruitment and representativeness of the participants involved. We now report the recruitment and participation patterns from a neuroscience sub-study of the MRC National Survey of Health and Development, “Insight 46”. This study aimed to recruit 500 participants for extensive clinical and neuropsychological testing, and neuroimaging. We investigate how sociodemographic factors, health conditions and health-related behaviours predict participation at different levels of recruitment. RESULTS: We met our target recruitment (n = 502). Higher educational attainment and non-manual socio-economic position (SEP) were consistent predictors of recruitment. Health-related variables were also predictive at every level of recruitment; in particular higher cognition, not smoking and better self-rating health. Sex and APOE-e4 status were not predictors of participation at any level. Whilst recruitment targets were met, individuals with lower SEP, lower cognition, and more health problems are under-represented in Insight 46. Understanding the factors that influence recruitment are important when interpreting results; for Insight 46 it is likely that health-related outcomes and life course risks will under-estimate those seen in the general population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3995-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-13 /pmc/articles/PMC6293512/ /pubmed/30545411 http://dx.doi.org/10.1186/s13104-018-3995-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note James, Sarah-Naomi Lane, Christopher A. Parker, Thomas D. Lu, Kirsty Collins, Jessica D. Murray-Smith, Heidi Byford, Michelle Wong, Andrew Keshavan, Ashvini Buchanan, Sarah Keuss, Sarah E. Kuh, Diana Fox, Nick C. Schott, Jonathan M. Richards, Marcus Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 |
title | Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 |
title_full | Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 |
title_fullStr | Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 |
title_full_unstemmed | Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 |
title_short | Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46 |
title_sort | using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in insight 46 |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293512/ https://www.ncbi.nlm.nih.gov/pubmed/30545411 http://dx.doi.org/10.1186/s13104-018-3995-0 |
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