Modifiable Risk Factors for Accelerated Decline in Processing Speed: Results from Three Dutch Population Cohorts - 21/11/24

Doi : 10.14283/jpad.2023.64 
E. Jaarsma 1, 2, 3, A. Nooyens 1, Almar A.L. Kok 2, 3, 4, 10, , S. Köhler 5, 6, 7, M. van Boxtel 5, 6, 7, W.M.M. Verschuren 1, 8, M. Huisman 2, 3, 9
1 Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands 
2 Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, Netherlands 
3 Amsterdam Public Health, Aging and Later Life, Amsterdam, the Netherlands 
4 Department of Psychiatry, Amsterdam Public Health, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands 
5 School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands 
6 Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands 
7 Alzheimer Centrum Limburg, Maastricht University Medical Center+, Maastricht, the Netherlands 
8 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands 
9 Department of Sociology, Faculty of Social Sciences, Vrije Universiteit, Amsterdam, the Netherlands 
10 Amsterdam UMC Locatie De Boelelaan: Amsterdam UMC Locatie VUmc, Amsterdam, the Netherlands 

c a.kok1@amsterdamumc.nl a.kok1@amsterdamumc.nl

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Abstract

Background

Several lifestyle, cardiovascular and psychosocial factors are associated with risk of cognitive decline and dementia. We studied the independent associations of a broad set of modifiable risk factors with decline in processing speed in three large population-based cohorts with up to 23 years of follow-up.

Methods

We used data of 9,666 participants from the Doetinchem Cohort Study, the Longitudinal Aging Study Amsterdam, and the Maastricht Aging Study. Decline in processing speed was measured with the letter digit substitution task or the alphabet coding task and modeled using quadratic latent growth curves. Associations of modifiable risk factors with level and rate of decline in processing speed were investigated by estimating associations with level of processing speed at different centering ages.

Results

Latent growth curves showed that decline in processing speed accelerated with age. Smoking, not drinking alcohol and depressive symptoms were associated with a lower level of processing speed in all cohorts. In two of the cohorts, more physical activity, drinking more than two glasses of alcohol per day, higher BMI and diabetes were associated with a lower level of processing speed. Depressive symptoms and diabetes were also associated with faster decline in processing speed.

Conclusion

Several modifiable risk factors are associated with the level of processing speed in older age, while few are also related to the rate of decline.

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Key words : Cognitive decline, risk factors, processing speed, general population


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Vol 11 - N° 1

P. 108-116 - Gennaio 2024 Ritorno al numero
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