Marie B D'hooghe1, Alexander De Cock2, Ann Van Remoortel3, Ralph H B Benedict4, Piet Eelen3, Erika Peeters3, Miguel D'haeseleer5, Jacques De Keyser6, Guy Nagels7. 1. Neurology, National MS Center, Vanheylenstraat 16, 1820 Melsbroek, Belgium; Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium; Neurology, UZ Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium. Electronic address: marie.dhooghe@mscenter.be. 2. Neurology, National MS Center, Vanheylenstraat 16, 1820 Melsbroek, Belgium; Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium. 3. Neurology, National MS Center, Vanheylenstraat 16, 1820 Melsbroek, Belgium. 4. Neurology, SUNY Buffalo, BGH 100 High Street Suite D6, Buffalo, NY, USA 14226. 5. Neurology, National MS Center, Vanheylenstraat 16, 1820 Melsbroek, Belgium; Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium; Neurology, UZ Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium. 6. Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium; Neurology, UZ Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium; Neurology, Universitair Medisch Centrum Groningen (UMCG), Groningen, the Netherlands. 7. Neurology, National MS Center, Vanheylenstraat 16, 1820 Melsbroek, Belgium; Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium; Neurology, UZ Brussel (VUB), Laarbeeklaan 101, 1090 Brussel, Belgium; St Edmund Hall, Oxford University, Queen's Ln, Oxford OX1 4AR, UK.
Abstract
BACKGROUND: Comorbidity and health behaviours may explain heterogeneity regarding cognitive performance in multiple sclerosis. Patient-reported cognitive difficulties have impact but do not consistently correlate with objective cognitive performance. Our study aims to investigate whether health status indicators including comorbidities, body mass index, physical activity, smoking, sleeping behaviour and consumption patterns for fish, alcohol and caffeinated drinks are associated with measures of subjective and objective cognitive performance. METHODS: Survey data on self-reported cognitive performance, assessed with the MS Neuropsychological Screening Questionnaire (MSNQ), were related to the presence of arterial hypertension, diabetes mellitus, cardiovascular and chronic renal diseases, hypercholesterolemia, depression based on 2-question screening tool, health and consumption behaviors. We included the Symbol Digit Modalities Test when available within 6 months as an objective, performance-based metric of cognitive processing speed. We investigated the interrelation between all variables with a Spearman correlation matrix and corrected for multiple testing. Regression models were built and controlled for age, sex and phenotype. RESULTS: We used available data from 751 patients with definite MS, including 290 SDMT scores within a time window of 6 months, to study relations between variables. MSNQ and SDMT scores were not significantly correlated. Correlation patterns for subjective and objective performance differed. Age, disease duration and physical disability correlated with SDMT scores only. Regression analyses could be performed for MSNQ scores in 595/751 (79.2%) and for SDMT scores in 234/751 (31.2%) participants. After restricting variables to avoid collinearity and adjusting for the number of variables, regression models explained 15% of the variance for subjective and 14% of the variance for objective cognitive performance. A higher number of physical comorbidities, reporting depressive symptoms, sleeping 9 h or more and daily use of sleeping medication were associated with lower subjective cognitive performance, whereas increasing age was associated with reduced processing speed. These associations persisted after correction for multiple testing. CONCLUSION: Increasing age is associated with reduced cognitive processing speed whereas comorbidities and sleep behaviors contribute to subjective cognitive performance.
BACKGROUND: Comorbidity and health behaviours may explain heterogeneity regarding cognitive performance in multiple sclerosis. Patient-reported cognitive difficulties have impact but do not consistently correlate with objective cognitive performance. Our study aims to investigate whether health status indicators including comorbidities, body mass index, physical activity, smoking, sleeping behaviour and consumption patterns for fish, alcohol and caffeinated drinks are associated with measures of subjective and objective cognitive performance. METHODS: Survey data on self-reported cognitive performance, assessed with the MS Neuropsychological Screening Questionnaire (MSNQ), were related to the presence of arterial hypertension, diabetes mellitus, cardiovascular and chronic renal diseases, hypercholesterolemia, depression based on 2-question screening tool, health and consumption behaviors. We included the Symbol Digit Modalities Test when available within 6 months as an objective, performance-based metric of cognitive processing speed. We investigated the interrelation between all variables with a Spearman correlation matrix and corrected for multiple testing. Regression models were built and controlled for age, sex and phenotype. RESULTS: We used available data from 751 patients with definite MS, including 290 SDMT scores within a time window of 6 months, to study relations between variables. MSNQ and SDMT scores were not significantly correlated. Correlation patterns for subjective and objective performance differed. Age, disease duration and physical disability correlated with SDMT scores only. Regression analyses could be performed for MSNQ scores in 595/751 (79.2%) and for SDMT scores in 234/751 (31.2%) participants. After restricting variables to avoid collinearity and adjusting for the number of variables, regression models explained 15% of the variance for subjective and 14% of the variance for objective cognitive performance. A higher number of physical comorbidities, reporting depressive symptoms, sleeping 9 h or more and daily use of sleeping medication were associated with lower subjective cognitive performance, whereas increasing age was associated with reduced processing speed. These associations persisted after correction for multiple testing. CONCLUSION: Increasing age is associated with reduced cognitive processing speed whereas comorbidities and sleep behaviors contribute to subjective cognitive performance.
Authors: Delphine Van Laethem; Alexander De Cock; Jeroen Van Schependom; Ralph H B Benedict; Guy Nagels; Marie D'hooghe Journal: Sci Rep Date: 2022-08-05 Impact factor: 4.996