*Indicates student; **Indicates postdoctoral fellow
*Freed, S. A., Ross, L. A., Gamaldo, A. A., & Stavrinos, D. (2021) Use of multilevel modeling to examine variability of distracted driving behavior in naturalistic driving studies. Accident Analysis & Prevention. doi: 10.1016/j.aap.2021.105968
Overview: This study demonstrates the utility of examining within-person variability in a naturalistic driving dataset of 68 older drivers across two weeks. To our knowledge, this is the first study to use multilevel modeling to quantify variability in distracted driving behavior in a naturalistic dataset for older drivers.
Gamaldo, A. A., Sardina, A. L., Tan S. C., Ross L. A., Gerlin L. A., Knox T. B., Prawl D., Argueta Portillo K. S., Andel R. (2020) Correlates of Life Satisfaction Among Middle-Aged and Older Black Adults. Journal of Racial and Ethnic Health Disparities. doi: 10.1007/s40615-020-00884-7
Overview: This study examines satisfaction across life domains (condition of the home, city of residence, daily life/leisure, family life, current financial situation, total household income, health, and life as a whole) among Black adults. This study also examines the association between satisfaction in each domain and sociodemographic, personality, and mental/physical health measures. Results suggest that levels of life satisfaction vary across domains and that life satisfaction may serve as a source of resiliency for Black adults.
Phillips, C. B., *Freed, S. A., & Ross, L. A. (in press). Older adult lifespace varies by driving status and residential population density. Transportation Research Record.
Overview: This paper examined the relationship between baseline driving status and lifespace across five years and whether this relationship differed by residential status. Results indicated that non-drivers had smaller mean lifespace than drivers across five years, and rates of lifespace declines did not differ between drivers and non-drivers. Non-drivers at baseline residing in low population density areas had smaller lifespace than non-drivers in high population density areas. The findings suggest that residential context plays a role in older adults' travel behavior and choices.
*Sprague, B. N., Phillips, C. B., & Ross, L. A. (2017). Age-varying relationships between physical function and cognition in older adulthood. The Journals of Gerontology, Series B: Psychological Sciences & Social Sciences. doi: 10.1093/geronb/gbx126
Overview: This paper examined cross-sectional relationships between physical and cognitive function in older adults using a novel statistical technique called time-varying effects modeling (TVEM). Briana and her colleagues found that simple physical function was a stronger predictor of processing speed, memory, and reasoning for the oldest-old, and complex physical function generally was a stronger predictor for the young-old and oldest old. This demonstrates that age plays a critical role in how relationships between physical and cognitive function couple across the older adulthood continuum.
*Pope, C., N., Ross, L., A., & Stavrinos, D. (2016). Association between executive function and problematic adolescent driving. Journal of Developmental and Behavioral Pediatrics, 37 (9), 702-711. doi:10.1097/DBP.0000000000000353 . PMCID: PMC5089921.
Overview: This paper examines teen drivers in the Senior and Adolescent Naturalistic Driving Study (SANDS). Worse self-reported executive function was associated with higher odds of self-reported problematic driving outcomes. However, there was no association between performance-based executive function meaasures and self-reported problematic driving outcomes. The authors discuss the application of research findings to potential screening tools for adolescent drivers.
Overview: The taxonomy, terms, and definitions constitute suggestions that, in the view of its sponsoring committee, will facilitate communication and promote best practice among a host of disciplines and professional organizations committed to safe, independent, and dignified options for seniors to remain mobile
within their communities. It is anticipated that this resource will be revised and updated as
needed to reflect the dynamic and evolving set of issues that confront practitioners in this area.
*Parr, M. N., Ross, L. A., *McManus, B., *Bishop, H. J., *Wittig, S. M. O., & Stavrinos, D. (2016). Differential impact of personality traits on distracted driving behaviors in teens and older adults. Accident Analysis and Prevention, 92, 107-112. DOI:10.1016/j.aap.2016.03.011. PMCID:PMC27054484.
Overview: This paper examines teens and older drivers in the Senior and Adolescent Naturalistic Driving (SANDS) study. In teens, higher levels of openness and conscientiousness and lower levels of agreeableness were associated with greater frequency of texting and interacting with a phone while driving. In older adults, greater extraversion was associated with greater talking and interacting with a phone while driving. Results suggest that specific personality traits associated with distracted driving are different across age groups. Implications for targeted interventions are discussed.
**Phillips, C. B., *Sprague, B. N., *Freed, S. A., & Ross, L.A. (2016). Longitudinal associations between changes in physical function and driving mobility behaviors among older adults. Transportation Research Record, Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine, 2584, 70-76. DOI:10.3141/2584-09.
Overview: Baseline cognitive function and visual acuity were positively related to changes in driving mobility across five years. Changes in general health and changes in physical function were positively associated with changes in driving mobility across five years. Patterns of associations varied depending on the specific physical function measure and mobility outcome. Results highlight the time-varying nature of the relationships between physical function and driving mobility.
Anstey, K. J., Eramugolla, R., Ross, L. A., Lautenschlager, N. T., & Wood, J. (2016). Road safety in an ageing population: Risk factors, assessment, interventions and future directions. International Psychogeriatrics, 28, 349-356. DOI:10.1017/S1041610216000053. PMCID:PMC26888735.
Overview: This editorial reviews risk factors of driving safety in older adults, including cognitive and visual function, as well as interventions targeting these risk factors. Assessments of driving performed by physicians present issues with patient willingness to disclose driving difficulties and validity of physician assessment. Evidence-based screening of driving ability that is inexpensive, culturally appropriate, and easily administered by providers of different backgrounds is needed.
*Schmidt, E. L., *Burge, W., Visscher, K. M., & Ross, L. A. (2015). Cortical thickness in frontoparietal and cingulo-opercular networks predicts executive function performance in older adults. Journal of Neuropsychology, 30(3), 322-331. DOI:10.1037/neu0000242. PMCID:PMC4767555.
Overview: Factor analysis of executive function measures revealed two factors that require distinct executive processes. Greater cortical thickness in the Cingulo-Opercular Network predicts better performance on the Sustained Executive Control factor. Greater cortical thickness in the Frontoparietal Network predicts better performance on the Complex Attention Control factor. Results suggest that distinct brain networks predict different executive processes.
Vance, D. E., *Fazeli, P. L., Ball, D. A., Slater, L. Z., & Ross, L. A. (2014). Cognitive functioning and driving simulator performance in middle-aged and older adults with HIV. Journal of the Association of Nurses in AIDS Care, 25(2), e11-e26. DOI:10.1016/j.jana.2013.12.001. PMCID:PMC3939674.
Overview: Older age and poorer visual speed of processing, but not CD4+ T lymphocyte count or viral load, were related to poorer driving performance. Mixed findings were observed between driving performance and cognitive function on self-reported driving habits of participants.
*Fazeli, P. L., Crowe, M. G., Ross, L. A., Wadley, V., Ball, K. K., & Vance, D. E. (2014). Cognitive functioning in adults aging with HIV: A cross-sectional analysis of cognitive subtypes and influential factors. Journal of Clinical Research in HIV AIDS and Prevention, 1(4), 1-15. DOI:10.14302.issn.2324-7339.jcrhap-13-191. PMCID:PMC4224145.
Overview: Findings suggest that there are not unique cognitive subtypes in HIV, but rather a subset of individuals who exhibit globally normal performance and those with below average performance. Older age and the related cardiovascular comorbidities of both aging and HIV medications may be key factors in explaining variability in neurocognitive functioning in this population.
*Fazeli, P. L., Ross, L. A., Vance, D. E., & Ball, K. (2013). The Relationship Between Computer Experience and Computerized Cognitive Test Performance Among Older Adults. Journals of Gerontology: Psychological Sciences, 68(3), 337-346. DOI:10.1093/geronb/gbs071. PMCID:PMC3627654.
Overview: Computer experience was related to cognitive performance, regardless of computerized or paper and pencil measure.
Ross, L. A., *Dodson, J., Edwards, J. D., Ackerman, M. L & Ball, K. K. (2012). Self-rated driving and driving safety in older adults. Accident Analysis and Prevention, 48, 523-527. DOI:10.1016.j.aap.2012.02.015. PMCID: PMC3387731.
Overview: Self-report driving was not a reliable indicator of driving competency.
Burns, R. A., Butterworth, P., Windsor, T. D., Luszcz, M., Ross, L. A., & Anstey, K. J. (2011). Deriving prevalence estimates of depressive symptoms throughout middle and old age in those living in the community. International Psychogeriatrics, 24, 503-511. DOI:10.1017/S1041610211002109. PMCID:PMC3882019.
Overview: Females experienced more depression across all ages. Depression also did not decline with age as expected.
Anstey, K. J., Bielak, A., Birrell, C., Browning, C. J., Burns, R. A., *Kiely, K. M., Nepal, B., Ross, L. A., Steel, D., Windsor, T. D., and the DYNOPTA team. (2011). Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy. Australasian Journal on Ageing, 30(2), 24-31. DOI:10.1111/j.1741-6612.2011.00533.x. PMCID:PMC3947607.
Overview: Dynopta is a longitudinal study of ageing. It provides the prevalence of disease and disability, evaluates health and social policy, and generates projections of expected health and morbidity.
Ross, L. A., Vance, D., Ball, K., *Cak, L., Ackerman, M. L., Benz, D., & Ball, D. (2011). Translating laboratory measures to real-world outcomes: Application of the UFOV test in an insurance company setting. Proceedings of the Sixth International Driving Symposium on Human Factors in Driving Assessment, Training and Vehicle Design, 1-7.
Overview: UFOV test significantly predicted at fault crashes and insurance claims among older adults.
Ross, L. A., Browning, C., Luszcz, M. A., Mitchell, P. & Anstey, K. J. (2011). Age-based testing for driver’s license renewal: Potential implications for older Australians. Journal of the American Geriatrics Society, 59, 281-285. DOI:10.1111/j.1532-5415.2010.03241.x. PMCID: PMC3065853.
Overview: Age-based testing was significantly associated with lower rates of driving. This was similar for older adults with and without cognitive and visual impairments.
Ross, L. A., Anstey, K. J., *Kiely, K. M., Luszcz, M. A., Byles, J., & Mitchell, P. (2010). Response Letter to Drs. Callaghan and O’Neill. Journal of the American Geriatrics Society, 58(6), 1213-1214.
Ball, K., Ross, L. A., & Viamonte, S. M. (2010). Normal Aging and Everyday Functioning. In T. D. Marcotte & I. Grant (Eds.), Neuropsychology of Everyday Functioning. New York: Guilford Publications, 248-263.
Overview: This chapter provides an overview of the physiology of aging, cognitive changes found during aging and how these factors impact everyday functioning in older adults. Additionally, potential interventions and future research directions are discussed.
Anstey, K. J., Byles, J. E., Luszcz, M. A., Mitchell, P., Steel, D., Booth, H., Browning, C., Butterworth, P., Cumming, R. G., Healy, J., Windsor, T. D., Ross, L. A., Bartsch, L., Burns, R. A., Kiely, K., Birrell, C. L., Broe, G., Shaw, J., & Kendig, H. (2010). Cohort profile: The Dynamic Analyses to Optimise Ageing (DYNOPTA) project. International Journal of Epidemiology, 39, 44-51. DOI:10.1093/ije/dyn276. PMCID:PMC2817088.
Overview: DYNOPTA investigates ways to optimize ageing outcomes using an interdisciplinary approach, as well as provides cross-national analyses.
Kvale, E., Clay, O. J., Ross, L. A., McGee, J. S., Edwards, J. D., Unverzagt, F. W., Ritchie, C. S., & Ball, K. (2010). Cognitive speed of processing and functional declines in older cancer survivors: An analysis of data from the ACTIVE trial. European Journal of Cancer Care, 19, 110-117. DOI:10.1111/j.1365-2354.2008.01018.x. PMCID:PMC2835340.
Overview: Cancer treatment with chemotherapy was associated with decreased performance of processing speed. This then has social, health, and economic implications on older cancer survivors.
Ross, L. A., Anstey, K. J., *Kiely, K., Windsor, T., Byles, J., Luszcz, M. A., & Mitchell, P. (2009). Older drivers in Australia: Trends on driving status and cognitive and visual impairment. Journal of the American Geriatrics Society (JAGS), 57(10), 1868-1873. DOI: 10.1111/j.1532-5415.2009.02439.x.
Overview: Investigates the predictors of driving status across a large sample of older adults, their relative cognitive and visual health, as well as comparisons of driving status across three countries.
Clay, O., Edwards, J.D., Ross, L. A., Okonkwo, O., Wadley, V., Roth, D., & Ball, K. (2009). Visual function and cognitive speed of processing mediate age-related decline in memory span and fluid intelligence. Journal of Aging and Health, 21(4), 547-566. DOI:10.1177/0898264309333326. PMCID: PMC2828155.
Overview: Structural Equation Modeling (SEM) is used to investigate the relationships between age, sensory function, and cognitive functioning in a sample of older adults.
Ross, L. A., Clay, O. J., Edwards, J. D., Ball, K., Wadley, V. G., Vance, D. E., Cissell, G. M., Roenker, D. L., & Joyce, J. J. (2009). Do older drivers at-risk for crashes modify their driving over time? Journals of Gerontology: Psychological Sciences, 64(2), 163-170. DOI:10.1093/geronb/gbn034. PMCID: PMC2655158.
Overview: This paper examines the predictors of driving mobility trajectories across a five year period.
Edwards, J. D., Perkins, M., Ross, L. A., & Reynolds, S. (2009). Driving status and three-year mortality among community-dwelling older adults. Journals of Gerontology: Biological and Medical Sciences, 64(2), 300-305. DOI:10.1093/gerona/gln019. PMCID: PMC2655033.
Overview: Older age, cognitive decline, poor near visual acuity, health, depressive symptoms, and being a non-driver were associated with 3-year mortality.
Vance, D. E., Ross, L. A., Crowe, M., Wadley, V. G., Edwards, J. D., & Ball, K. K. (2008). The relationship of memory, reasoning, and speed of processing on falling among older adults. Physical and Occupational Therapy in Geriatrics, 27(3), 212-228. DOI:10.1080/02703180802377123. PMCID: PMC2834242.
Overview: Adults who were older, female, caucasian, had poor lower limb mobility, and had better memory were more likely to have a greater number of falls.
Ackerman, M. L., Edwards, J. D., Ross, L. A., Ball, K. K., & Lunsman, M. L. (2008). Examination of cognitive and instrumental functional performance as indicators for driving cessation risk across three years. The Gerontologist, 48(6), 802-810. DOI:10.1093/geront/48.6.802.
Overview: Older age, poorer balance, slower speed of processing, and poorer instrumental functional performance were all predictors of driving cessation over a three year period.
Wadley, V. G., Okonkwo, O., Crowe, M., & Ross, L. A. (2008). Mild cognitive impairment and everyday function: Evidence of reduced speed in performing instrumental activities of daily living. American Journal of Geriatric Psychiatry, 16(5), 416-424. DOI:10.1097/JGP.0b013e31816b7303.
Overview: Slower speed in performing instrumental activities of daily living may be an important factor in detecting mild cognitive impairment.
Edwards, J. D., Ross, L. A., Ackerman, M. A., Small, B. J., Ball, K. K., Dodson, J. E., & Bradley, S. A. (2008). Longitudinal predictors of driving cessation among older adults from the ACTIVE clinical trial. Journals of Gerontology: Psychological Sciences, 63B(1), P6-P12. DOI:10.1093/geronb/63.1.P6.
Overview: Older age, poorer health, poorer physical functioning, and slower speed of processing were predictors of driving cessation over a five year period. Poorer visual acuity also increased risk of cessation, but to a lesser extent. Despite findings from other studies, gender had no relationship with risk of driving cessation.
Vance, D., Ross, L. A., & Downs, C. A. (2008). Self-reported cognitive ability and global cognitive performance in adults with HIV. Journal of Neuroscience Nursing, 40(1), 6-13. DOI:10.1097/01376517-200802000-00003.
Overview: Depressive symptoms predicted lower self-reported cognitive ability in adults with HIV. Additionally, lower self-reported cognitive ability was related to poorer cognitive performance.
Vance, D., Ross, L. A., Ball, K., Wadley, V., & Rizzo, M. (2007). Correlates of individual physical activities in older adults. Activities, Adaptation and Aging, 31(4), 1-21. DOI:10.1300/J016v31n04_01.
Overview: This paper examines correlates of physical activity in older adults including medical conditions, depressive symptoms, education age, social network size and activity, and vision.
Edwards, J., Ross, L. A., Wadley, V. G., Clay, O. J., Crowe, M., Roenker, D. L., & Ball, K. K. (2006). The Useful Field of View test: Normative data for older adults. Archives of Clinical Neuropsychology, 21, 275-286. DOI:10.1016/j.acn.2006.03.001.
Overview: This paper provides normative data for the Useful Field of View test and the impact of age, education, mental status, vision, and health on test performance.