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Published in: BMC Geriatrics 1/2022

Open Access 01-12-2022 | Dementia | Research

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

Authors: Imke Seifert, Henrik Wiegelmann, Marta Lenart-Bugla, Mateusz Łuc, Marcin Pawłowski, Etienne Rouwette, Joanna Rymaszewska, Dorota Szcześniak, Myrra Vernooij-Dassen, Marieke Perry, René Melis, Karin Wolf-Ostermann, Ansgar Gerhardus, on behalf of the SHARED consortium

Published in: BMC Geriatrics | Issue 1/2022

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Abstract

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.
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Literature
1.
go back to reference World Health Organization. Risk reduction of cognitive decline and dementia: WHO guidelines. Geneva: World Health Organization; 2019. World Health Organization. Risk reduction of cognitive decline and dementia: WHO guidelines. Geneva: World Health Organization; 2019.
2.
go back to reference Pinquart M, Sörensen S. Associations of caregiver stressors and uplifts with subjective well-being and depressive mood: a meta-analytic comparison. Aging Ment Health. 2004;8(5):438–49.CrossRef Pinquart M, Sörensen S. Associations of caregiver stressors and uplifts with subjective well-being and depressive mood: a meta-analytic comparison. Aging Ment Health. 2004;8(5):438–49.CrossRef
3.
go back to reference Volicer L. Caregiver burden in dementia care: Prevalence and health effects. Current Psychosis & Therapeutics Reports. 2005;3(1):20–5.CrossRef Volicer L. Caregiver burden in dementia care: Prevalence and health effects. Current Psychosis & Therapeutics Reports. 2005;3(1):20–5.CrossRef
4.
go back to reference Wimo A, Jönsson L, Bond J, Prince M, Winblad B. The worldwide economic impact of dementia 2010. Alzheimers Dement. 2013;9(1):1-11.e13.CrossRef Wimo A, Jönsson L, Bond J, Prince M, Winblad B. The worldwide economic impact of dementia 2010. Alzheimers Dement. 2013;9(1):1-11.e13.CrossRef
5.
go back to reference Baumgart M, Snyder HM, Carrillo MC, Fazio S, Kim H, Johns H. Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimers Dement. 2015;11(6):718–26.CrossRef Baumgart M, Snyder HM, Carrillo MC, Fazio S, Kim H, Johns H. Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimers Dement. 2015;11(6):718–26.CrossRef
6.
go back to reference Dröes R, Chattat R, Diaz A, et al. Social health and dementia: a European consensus on the operationalization of the concept and directions for research and practice. Aging Ment Health. 2017;21(1):4–17.CrossRef Dröes R, Chattat R, Diaz A, et al. Social health and dementia: a European consensus on the operationalization of the concept and directions for research and practice. Aging Ment Health. 2017;21(1):4–17.CrossRef
7.
go back to reference Killin LOJ, Starr JM, Shiue IJ, Russ TC. Environmental risk factors for dementia: a systematic review. BMC Geriatr. 2016;16(1):175.CrossRef Killin LOJ, Starr JM, Shiue IJ, Russ TC. Environmental risk factors for dementia: a systematic review. BMC Geriatr. 2016;16(1):175.CrossRef
8.
go back to reference Kuiper JS, Zuidersma M, Voshaar RCO, et al. Social relationships and risk of dementia: a systematic review and meta-analysis of longitudinal cohort studies. Ageing Res Rev. 2015;22:39–57.CrossRef Kuiper JS, Zuidersma M, Voshaar RCO, et al. Social relationships and risk of dementia: a systematic review and meta-analysis of longitudinal cohort studies. Ageing Res Rev. 2015;22:39–57.CrossRef
9.
go back to reference Vernooij-Dassen M, Moniz-Cook E, Jeon Y-H. Social health in dementia care: harnessing an applied research agenda. Int Psychogeriatr. 2018;30(6):775–8.CrossRef Vernooij-Dassen M, Moniz-Cook E, Jeon Y-H. Social health in dementia care: harnessing an applied research agenda. Int Psychogeriatr. 2018;30(6):775–8.CrossRef
10.
go back to reference Livingston G, Huntley J, Sommerlad A, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. The Lancet. 2020;396(10248):413–46.CrossRef Livingston G, Huntley J, Sommerlad A, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. The Lancet. 2020;396(10248):413–46.CrossRef
11.
go back to reference Spector A, Orrell M. Using a biopsychosocial model of dementia as a tool to guide clinical practice. Int Psychogeriatr. 2010;22(6):957–65.CrossRef Spector A, Orrell M. Using a biopsychosocial model of dementia as a tool to guide clinical practice. Int Psychogeriatr. 2010;22(6):957–65.CrossRef
12.
go back to reference Uleman JF, Melis RJ, Quax R, et al. Mapping the multicausality of Alzheimer’s disease through group model building. Geroscience. 2020;43(2):829–43.CrossRef Uleman JF, Melis RJ, Quax R, et al. Mapping the multicausality of Alzheimer’s disease through group model building. Geroscience. 2020;43(2):829–43.CrossRef
14.
go back to reference Vonville H. Excel Workbook for Screening Titles and Abstracts. Houston, TX, USA: University of Texas School of Public Health Library; 2015. Vonville H. Excel Workbook for Screening Titles and Abstracts. Houston, TX, USA: University of Texas School of Public Health Library; 2015.
15.
go back to reference Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Open medicine : a peer-reviewed, independent, open-access journal. 2009;3:e123-130. Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Open medicine : a peer-reviewed, independent, open-access journal. 2009;3:e123-130.
16.
go back to reference Landis JR, Koch GG. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics. 1977;33(2):363–74.CrossRef Landis JR, Koch GG. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics. 1977;33(2):363–74.CrossRef
17.
go back to reference Kinderman P. A psychological model of mental disorder. Harv Rev Psychiatry. 2005;13(4):206–17.CrossRef Kinderman P. A psychological model of mental disorder. Harv Rev Psychiatry. 2005;13(4):206–17.CrossRef
18.
go back to reference Winblad B, Amouyel P, Andrieu S, et al. Defeating Alzheimer’s disease and other dementias: a priority for European science and society. The Lancet Neurology. 2016;15(5):455–532.CrossRef Winblad B, Amouyel P, Andrieu S, et al. Defeating Alzheimer’s disease and other dementias: a priority for European science and society. The Lancet Neurology. 2016;15(5):455–532.CrossRef
19.
go back to reference Xu W, Tan L, Wang H-F, et al. Meta-analysis of modifiable risk factors for Alzheimer’s disease. J Neurol Neurosurg Psychiatry. 2015;86(12):1299.PubMed Xu W, Tan L, Wang H-F, et al. Meta-analysis of modifiable risk factors for Alzheimer’s disease. J Neurol Neurosurg Psychiatry. 2015;86(12):1299.PubMed
20.
go back to reference Andersen DF, Richardson GP, Vennix JAM. Group model building: adding more science to the craft. Syst Dyn Rev. 1997;13(2):187–201.CrossRef Andersen DF, Richardson GP, Vennix JAM. Group model building: adding more science to the craft. Syst Dyn Rev. 1997;13(2):187–201.CrossRef
21.
go back to reference Hovmand PS, Andersen DF, Rouwette E, Richardson GP, Rux K, Calhoun A. Group Model-Building ‘Scripts’ as a Collaborative Planning Tool. Syst Res Behav Sci. 2012;29(2):179–93.CrossRef Hovmand PS, Andersen DF, Rouwette E, Richardson GP, Rux K, Calhoun A. Group Model-Building ‘Scripts’ as a Collaborative Planning Tool. Syst Res Behav Sci. 2012;29(2):179–93.CrossRef
22.
go back to reference Rouwette EAJA, Vennix JAM, Thijssen CM. Group Model Building: A Decision Room Approach. Simul Gaming. 2000;31(3):359–79.CrossRef Rouwette EAJA, Vennix JAM, Thijssen CM. Group Model Building: A Decision Room Approach. Simul Gaming. 2000;31(3):359–79.CrossRef
23.
go back to reference Hirsch GB, Homer J, Evans E, Zielinski A. A system dynamics model for planning cardiovascular disease interventions. Am J Public Health. 2010;100(4):616–22.CrossRef Hirsch GB, Homer J, Evans E, Zielinski A. A system dynamics model for planning cardiovascular disease interventions. Am J Public Health. 2010;100(4):616–22.CrossRef
24.
go back to reference Homer JB, Hirsch GB. System dynamics modeling for public health: background and opportunities. Am J Public Health. 2006;96(3):452–8.CrossRef Homer JB, Hirsch GB. System dynamics modeling for public health: background and opportunities. Am J Public Health. 2006;96(3):452–8.CrossRef
25.
go back to reference Korczyn A, Halperin I. Depression and dementia. J Neurol Sci. 2009;283:139–42.CrossRef Korczyn A, Halperin I. Depression and dementia. J Neurol Sci. 2009;283:139–42.CrossRef
27.
go back to reference Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium☆. Soc Sci Med. 2000;51(6):843–57.CrossRef Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium☆. Soc Sci Med. 2000;51(6):843–57.CrossRef
28.
go back to reference Hou X-H, Feng L, Zhang C, Cao X-P, Tan L, Yu J-T. Models for predicting risk of dementia: a systematic review. J Neurol Neurosurg Psychiatry. 2019;90(4):373–9.CrossRef Hou X-H, Feng L, Zhang C, Cao X-P, Tan L, Yu J-T. Models for predicting risk of dementia: a systematic review. J Neurol Neurosurg Psychiatry. 2019;90(4):373–9.CrossRef
Metadata
Title
Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia
Authors
Imke Seifert
Henrik Wiegelmann
Marta Lenart-Bugla
Mateusz Łuc
Marcin Pawłowski
Etienne Rouwette
Joanna Rymaszewska
Dorota Szcześniak
Myrra Vernooij-Dassen
Marieke Perry
René Melis
Karin Wolf-Ostermann
Ansgar Gerhardus
on behalf of the SHARED consortium
Publication date
01-12-2022
Publisher
BioMed Central
Keywords
Dementia
Dementia
Published in
BMC Geriatrics / Issue 1/2022
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-022-02955-2

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