van DamMde JongBAWillemseEAJ, et al. A multimodal marker for cognitive functioning in multiple sclerosis: The role of NfL, GFAP and conventional MRI in predicting cognitive functioning in a prospective clinical cohort. J Neurol2023; 270(8): 3851–3861.
2.
AartsJSaddalSRDBosmansJE, et al. Don’t be late! Postponing cognitive decline and preventing early unemployment in people with multiple sclerosis: A study protocol. BMC Neurol2024; 24: 28.
3.
WaskowiakPTde JongBAUitdehaagBMJ, et al. Don’t be late! Timely identification of cognitive impairment in people with multiple sclerosis: A study protocol. BMC Neurol2024; 24: 26.
4.
AlexanderSPeryerGGrayE, et al. Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review. Mult Scler2021; 27(11): 1643–1656.
5.
BanduraA. Self-efficacy—Toward a unifying theory of behavioral change. Psychol Rev1977; 84(2): 191–215.
6.
MerluzziTVPustejovskyJEPhilipEJ, et al. Interventions to enhance self-efficacy in cancer patients: A meta-analysis of randomized controlled trials. Psychooncology2019; 28(9): 1781–1790.
7.
OuyangRGLongYZhangJQ, et al. Interventions for improving self-efficacy in patients after stroke based on self-efficacy-related principles of Bandura’s cognition theory: A systematic review and meta-analysis. Top Stroke Rehabil2023; 30(8): 820–832.
8.
AndersonLEIrelandMJMyersL, et al. Psychological distress and bowel cancer screening participation. Psychooncology2023; 32(2): 229–236.
9.
GoodwinBAndersonLCollinsK, et al. Anticipatory anxiety and participation in cancer screening. Psychooncology2023; 32(12): 1773–1786.
