Cognitive decline in Huntington's disease in the Digitalized Arithmetic Task (DAT).

BACKGROUND: Efficient cognitive tasks sensitive to longitudinal deterioration in small cohorts of Huntington's disease (HD) patients are lacking in HD research. We thus developed and assessed the digitized arithmetic task (DAT), which combines inner language and executive functions in approximately 4 minutes. METHODS: We assessed the psychometric properties of DAT in three languages, across four European sites, in 77 early-stage HD patients (age: 52 ± 11 years; 27 females), and 57 controls (age: 50 ± 10, 31 females). Forty-eight HD patients and 34 controls were followed up to one year with 96 participants who underwent MRI brain imaging (HD patients = 46) at baseline and 50 participants (HD patients = 22) at one year. Linear mixed models and Pearson correlations were used to assess associations with clinical assessment. RESULTS: At baseline, HD patients were less accurate (p = 0.0002) with increased response time (p<0.0001) when compared to DAT in controls. Test-retest reliability in HD patients ranged from good to excellent for response time (range: 0.63-0.79) and from questionable to acceptable for accuracy (range: r = 0.52-0.69). Only DAT, the Mattis Dementia Rating Scale, the Symbol Digit Modalities Test, and Total Functional Capacity scores were able to detect a decline within a one-year follow-up in HD patients (all p< 0.05). In contrast with all the other cognitive tasks, DAT correlated with striatal atrophy over time (p = 0.037) but not with motor impairment. CONCLUSIONS: DAT is fast, reliable, motor-free, applicable in several languages, and able to unmask cognitive decline correlated with striatal atrophy in small cohorts of HD patients. This likely makes it a useful endpoint in future trials for HD and other neurodegenerative diseases.

Factors of change and cumulative factors in self-rated health trajectories: a systematic review.

In Western societies, self-rated health (SRH) inequalities have increased over the past decades. Longitudinal studies suggest that the SRH trajectories of disadvantaged populations are declining at a faster rate than those of advantaged populations, resulting in an accumulation of (dis)advantages over the life course, as postulated by the Cumulative Advantage/Disadvantage (CAD) model. The objectives of this study are to conduct a systematic review of the factors influencing SRH trajectories in the adult population and to assess to what extent the findings support the CAD model. Based on the inclusion criteria, 36 articles, using 15 nationally representative databases, were reviewed. The results show that young age, high socioeconomic position and marital transitions (entering a partnership) are advantageous factors of change in SRH trajectories. However, evidence for cumulative influences supporting the CAD model remains limited: gender, ethnicity, education and employment status are only moderately associated with growing influences over time, and the cumulative influences of income, occupation, age and marital status are weak. In conclusion, this systematic review provides consolidated evidence on the factors influencing SRH trajectories, though the inclusion of only 15 nationally representative databases may limit the generalization of the results.