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Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia

BACKGROUND: Dementia is a multi-factorial condition rather than a natural and inevitable consequence of ageing. Some factors related to dementia have been studied much more extensively than others. To gain an overview of known or suspected influential factors is a prerequisite to design studies that...

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Autores principales: Seifert, Imke, Wiegelmann, Henrik, Lenart-Bugla, Marta, Łuc, Mateusz, Pawłowski, Marcin, Rouwette, Etienne, Rymaszewska, Joanna, Szcześniak, Dorota, Vernooij-Dassen, Myrra, Perry, Marieke, Melis, René, Wolf-Ostermann, Karin, Gerhardus, Ansgar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208220/
https://www.ncbi.nlm.nih.gov/pubmed/35725402
http://dx.doi.org/10.1186/s12877-022-02955-2
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author Seifert, Imke
Wiegelmann, Henrik
Lenart-Bugla, Marta
Łuc, Mateusz
Pawłowski, Marcin
Rouwette, Etienne
Rymaszewska, Joanna
Szcześniak, Dorota
Vernooij-Dassen, Myrra
Perry, Marieke
Melis, René
Wolf-Ostermann, Karin
Gerhardus, Ansgar
author_facet Seifert, Imke
Wiegelmann, Henrik
Lenart-Bugla, Marta
Łuc, Mateusz
Pawłowski, Marcin
Rouwette, Etienne
Rymaszewska, Joanna
Szcześniak, Dorota
Vernooij-Dassen, Myrra
Perry, Marieke
Melis, René
Wolf-Ostermann, Karin
Gerhardus, Ansgar
author_sort Seifert, Imke
collection PubMed
description BACKGROUND: Dementia is a multi-factorial condition rather than a natural and inevitable consequence of ageing. Some factors related to dementia have been studied much more extensively than others. To gain an overview of known or suspected influential factors is a prerequisite to design studies that aim to identify causal relationships and interactions between factors. This article aims to develop a visual model that a) identifies factors related to cognitive decline that signal the onset of dementia, b) structures them by different domains and c) reflects on and visualizes the possible causal links and interactions between these factors based on expert input using a causal loop diagram. METHOD: We used a mixed-method, step-wise approach: 1. A systematic literature review on factors related to cognitive decline; 2. A group model building (GMB) workshop with experts from different disciplines; 3. Structured discussions within the group of researchers. The results were continuously synthesized and graphically transformed into a causal loop diagram. RESULTS: The causal loop diagram comprises 73 factors that were structured into six domains: physical (medical) factors (23), social health factors (21), psychological factors (14), environmental factors (5), demographic factors (5) and lifestyle factors (3). 57 factors were identified in the systematic literature review, additionally 16 factors, mostly of the social health cluster, were identified during the GMB session and the feedback rounds. CONCLUSION: The causal loop diagram offers a comprehensive visualisation of factors related to cognitive decline and their interactions. It supports the generation of hypotheses on causal relationships and interactions of factors within and between domains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02955-2.
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spelling pubmed-92082202022-06-21 Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia Seifert, Imke Wiegelmann, Henrik Lenart-Bugla, Marta Łuc, Mateusz Pawłowski, Marcin Rouwette, Etienne Rymaszewska, Joanna Szcześniak, Dorota Vernooij-Dassen, Myrra Perry, Marieke Melis, René Wolf-Ostermann, Karin Gerhardus, Ansgar BMC Geriatr Research BACKGROUND: Dementia is a multi-factorial condition rather than a natural and inevitable consequence of ageing. Some factors related to dementia have been studied much more extensively than others. To gain an overview of known or suspected influential factors is a prerequisite to design studies that aim to identify causal relationships and interactions between factors. This article aims to develop a visual model that a) identifies factors related to cognitive decline that signal the onset of dementia, b) structures them by different domains and c) reflects on and visualizes the possible causal links and interactions between these factors based on expert input using a causal loop diagram. METHOD: We used a mixed-method, step-wise approach: 1. A systematic literature review on factors related to cognitive decline; 2. A group model building (GMB) workshop with experts from different disciplines; 3. Structured discussions within the group of researchers. The results were continuously synthesized and graphically transformed into a causal loop diagram. RESULTS: The causal loop diagram comprises 73 factors that were structured into six domains: physical (medical) factors (23), social health factors (21), psychological factors (14), environmental factors (5), demographic factors (5) and lifestyle factors (3). 57 factors were identified in the systematic literature review, additionally 16 factors, mostly of the social health cluster, were identified during the GMB session and the feedback rounds. CONCLUSION: The causal loop diagram offers a comprehensive visualisation of factors related to cognitive decline and their interactions. It supports the generation of hypotheses on causal relationships and interactions of factors within and between domains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02955-2. BioMed Central 2022-06-20 /pmc/articles/PMC9208220/ /pubmed/35725402 http://dx.doi.org/10.1186/s12877-022-02955-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Seifert, Imke
Wiegelmann, Henrik
Lenart-Bugla, Marta
Łuc, Mateusz
Pawłowski, Marcin
Rouwette, Etienne
Rymaszewska, Joanna
Szcześniak, Dorota
Vernooij-Dassen, Myrra
Perry, Marieke
Melis, René
Wolf-Ostermann, Karin
Gerhardus, Ansgar
Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
title Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
title_full Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
title_fullStr Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
title_full_unstemmed Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
title_short Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
title_sort mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208220/
https://www.ncbi.nlm.nih.gov/pubmed/35725402
http://dx.doi.org/10.1186/s12877-022-02955-2
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