A survey of the perceptions and practices of faculty in clinical neuropsychology doctoral training programs: is heterogeneity the norm?

Objective: Doctoral education is a cornerstone in the training of clinical neuropsychologists. However, we know little about perceptions, practices, and needs of the faculty who oversee doctoral training in clinical neuropsychology (CN). Method: Seventy-one faculty from 45 doctoral programs providing CN training completed at least part of a survey assessing characteristics of their programs, current training practices and views, and challenges to CN doctoral training. Results: Over half of CN faculty reported having zero or only one CN colleague. CN faculty reported that the goals of CN doctoral training are research training, clinical training, and acquisition of knowledge and skills reflected in the Houston Conference Guidelines (HCG). CN faculty reported that doctoral trainees obtain more clinical hours than faculty would like and endorsed alternative clinical metrics, including competency-based ratings. CN faculty are divided about the benefits of a required two-year postdoctoral CN fellowship. Conclusions: The HCG states that specialization in CN begins at the doctoral level. CN faculty in doctoral programs are fully immersed in the early development and education of future CN researchers and practitioners. Tensions between clinical and research training in CN at the doctoral level-and student overemphasis on accruing clinical hours-might place CN at risk for failing to make research innovations necessary for our field to evolve and thrive. More CN doctoral faculty are needed to serve as mentors to students, especially for students from backgrounds that have been historically excluded and marginalized. A greater voice from CN doctoral faculty in CN governance is needed.

Retired night shift workers exhibit poorer neurocognitive function compared to retired day workers.

STUDY OBJECTIVES: Shift work is associated with compromised cognitive function, and with chronic exposure, may place shift workers at elevated risk for dementia. However, evidence of cognitive impairment among former night shift workers is mixed, possibly due to inconsistencies regarding retirement status, work history classification, and cognitive assessments. To address these limitations, this study compared neurocognitive function between retired night shift workers and retired day workers using a well-characterized sample and a rigorous neurocognitive test battery. METHODS: Participants (N = 61; mean age: 67.9 ± 4.7 years; 61% females; 13% non-white) were 31 retired day workers and 30 retired night shift workers equated on age, sex, race/ethnicity, premorbid IQ, years retired, and diary-assessed habitual sleep characteristics. Participants completed a neurocognitive battery assessing six cognitive domains (language, visuospatial ability, attention, immediate and delayed memory, executive function) and self-reported cognitive function. Linear regression models compared groups on individual cognitive domains, adjusting for age, sex, race/ethnicity, education level, and habitual sleep quality. RESULTS: Retired night shift workers scored lower than retired day workers on attention (B = -0.38, 95% CI [-0.75, -0.02], p = .040) and executive function (B = -0.55, 95% CI [-0.92, -0.17], p = .005). In post hoc analyses, attention and executive function were unrelated to diary-assessed habitual sleep characteristics (disruption, timing, and irregularity) in retired night shift workers. CONCLUSIONS: The observed cognitive weaknesses in retired night shift workers may suggest increased risk for future dementia. Retired night shift workers should be followed to determine whether observed weaknesses progress.

Associations between Visual Acuity and Cognitive Decline in Older Adulthood: A 9-Year Longitudinal Study.

OBJECTIVE: Emerging evidence suggests low vision may be a modifiable risk factor for cognitive decline. We examined effects of baseline visual acuity (VA) on level of, and change in, cognitive test performance over 9 years. METHOD: A population-based sample of 1,621 participants (average age 77 years) completed a comprehensive neuropsychological evaluation and VA testing at baseline and reassessed at nine subsequent annual visits. Linear regression modeled the association between baseline VA and concurrent cognitive test performance. Joint modeling of a longitudinal sub-model and a survival sub-model to adjust for attrition were used to examine associations between baseline VA and repeated cognitive test performance over time. RESULTS: Better baseline VA was associated cross-sectionally with younger age, male sex, greater than high school education, and higher baseline neuropsychological test scores on both vision-dependent (B coefficient range -0.163 to -0.375, p = .006 to <.001) and vision-independent tests (-0.187 to -0.215, p = .003 to .002). In longitudinal modeling, better baseline VA was associated with slower decline in vision-dependent tests (B coefficient range -0.092 to 0.111, p = .005 to <.001) and vision-independent tests (-0.107 to 0.067, p = .007 to <.001). CONCLUSIONS: Higher VA is associated with higher concurrent cognitive abilities and slower rates of decline over 9 years in both vision-dependent and vision-independent tests of memory, language, and executive functioning. Findings are consistent with emerging literature supporting vision impairment in aging as a potentially modifiable risk factor for cognitive decline. Clinicians should encourage patient utilization of vision assessment and correction with the added aim of protecting cognition.