Browse by author
Lookup NU author(s): Dr Timothy Williams
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2022 World Federation of Neurology on behalf of the Research Group on Motor Neuron Diseases.Objective: Evidence is equivocal about the prevalence of depression in amyotrophic lateral sclerosis (ALS). This study uses a multi-attribute ascertainment of the prevalence of depression and examines this prevalence over time. Methods: Patients with ALS were recruited into the Trajectories of Outcome in Neurological Conditions (TONiC-ALS) study. Caseness was identified by the Modified-Hospital Anxiety and Depression Scale (M-HADS). In addition, participants provided data on co-morbidities and medication use. A combination of the three was used to derive the estimate for the prevalence of depression, treated or untreated. Longitudinal data were analyzed by trajectory analysis of interval level M-HADS-Depression data. Results: Among 1120 participants, the mean age was 65.0 years (SD 10.7), 60.4% male, and the median duration since diagnosis was 9 months (IQR 4–24). Caseness of probable depression at baseline, defined by M-HADS-Depression, was 6.45% (95%CI: 5.1–8.0). Taken together with antidepressant medication and co-morbidity data, the prevalence of depression was 23.1% (95%CI: 20.7–25.6). Of those with depression, 17.8% were untreated. Trajectory analysis identified three groups, one of which contained the most cases; the level of depression for each group remained almost constant over time. Conclusion: Depression affects almost a quarter of those with ALS, largely confined to a single trajectory group. Prevalence estimates based on screening for current depressive symptoms substantially under-estimate the population experiencing depression. Future prevalence studies should differentiate data based on current symptoms from those including treated patients. Both have their place in assessing depression and the response by the health care system, including medication, depending upon the hypothesis under test.
Author(s): Young CA, Ealing J, McDermott CJ, Williams TL, Al-Chalabi A, Majeed T, Talbot K, Harrower T, Faull C, Malaspina A, Annadale J, Mills RJ, Tennant A
Publication type: Article
Publication status: Published
Journal: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
Pages: epub ahead of print
Online publication date: 06/09/2022
Acceptance date: 28/06/2022
ISSN (print): 2167-8421
ISSN (electronic): 2167-9223
Publisher: Taylor and Francis Ltd.
PubMed id: 36066075
Altmetrics provided by Altmetric