Cognitive Function

- Number of publications: 150

Agrigoroaei, S., & Lachman, M. E. (2011). Cognitive functioning in Midlife and old age: Combined Effects of psychosocial and behavioral factors. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66B(suppl 1), i130-i140.
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View publication via DOI: DOI:10.1093/geronb/gbr017

Agrigoroaei, S., Robinson, S. A., Hughes, M. L., Rickenbach, E. H., & Lachman, M. E. (2018). Cognition at midlife: Antecedents and consequences. In C. D. Ryff & R. F. Krueger (Eds.), The Oxford handbook of integrative health science. New York: Oxford University Press.
View publication via DOI: DOI:10.1093/oxfordhb/9780190676384.001.0001

Alonso Debreczeni, F., & Bailey, P. E. (2021). A systematic review and meta-analysis of subjective age and the association with cognition, subjective well-being, and depression. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 76(3), 471-482.
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View publication via DOI: DOI:10.1093/geronb/gbaa069

Bhattacharyya, K. K., Dobbs, D., & Hueluer, G. (2022). Mind-body practice, personality traits, and cognitive performance: A 10-years study in US adults. Gerontology and Geriatric Medicine, 8, 1-12.
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View publication via DOI: DOI:10.1177/23337214221083475

Bhattacharyya, K. K., Hueluer, G., Meng, H., & Hyer, K. (2021). Movement-based mind-body practices and cognitive function in middle-aged and older adults: Findings from the Midlife in the United States (MIDUS) study. Complementary Therapies in Medicine, 60, Article 102751.
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View publication via DOI: DOI:10.1016/j.ctim.2021.102751

Bourassa, K. J., Moffitt, T. E., Harrington, H., Houts, R., Poulton, R., Ramrakha, S., & Caspi, A. (2021). Lower cardiovascular reactivity is associated with more childhood adversity and poorer midlife health: Replicated findings from the Dunedin and MIDUS cohorts. Clinical Psychological Science, 9(5), 961-978.
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View publication via DOI: DOI:10.1177/2167702621993900

Bratlee-Whitaker, E., Hill, N. L., Mogle, J., & Bhang, I. (2019). Neuroticism biases memory self-report in women. Journal of Women and Aging, 33(5), 457-472.
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View publication via DOI: DOI:10.1080/08952841.2019.1700729

Brisbon, N. M., & Lachman, M. E. (2017). Dispositional mindfulness and memory problems: The role of perceived stress and sleep quality. Mindfulness, 8(2), 379-386.
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View publication via DOI: DOI:10.1007/s12671-016-0607-8

Carlew, A. R., Fatima, H., Livingstone, J. R., Reese, C., Lacritz, L., Pendergrass, C., Bailey, K. C., Presley, C., Mokhtari, B., & Cullum, C. M. (2020). Cognitive assessment via telephone: A scoping review of instruments. Archives of Clinical Neuropsychology, 35, 1215-1233.
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View publication via DOI: DOI:10.1093/arclin/acaa096

Chang, C., Gardiner, J., Houang, R., & Yu, Y. L. (2020). Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: An application of gender disparity in adult cognitive functioning using MIDUS II dataset. BMC Medical Research Methodology, 20(1), Article 275.
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View publication via DOI: DOI:10.1186/s12874-020-01150-4

Charles, S. T., Mogle, J., Chai, H. W., & Almeida, D. M. (2021). The mixed benefits of a stressor-free life. Emotion. Advance online publication.
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View publication via DOI: DOI:10.1037/emo0000958

Charles, S. T., Mogle, J., Piazza, J., Karlamangla, A., & Almeida, D. M. (2020). Going the distance: The diurnal range of cortisol and its association with cognitive and physiological functioning. Psychoneuroendocrinology, 112, Article 104516.
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View publication via DOI: DOI:10.1016/j.psyneuen.2019.104516

Chen, D. G., Lin, F., Chen, X. J., Tang, W., & Kitzman, H. (2014). Cusp catastrophe model: A nonlinear model for health outcomes in nursing research. Nursing Research, 63(3), 211-220.
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View publication via DOI: DOI:10.1097/nnr.0000000000000034

Chen, R., Weuve, J., Misra, S., Cuevas, A., Kubzansky, L. D., & Williams, D. R. (2021). Racial disparities in cognitive function among middle-aged and older adults: The roles of cumulative stress exposures across the life course. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences. Advance online publication.
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View publication via DOI: DOI:10.1093/gerona/glab099

Chen, Y. T., Holahan, C. K., Holahan, C. J., & Li, X. (2018). Leisure-time physical activity, subjective age, and self-rated memory in middle-aged and older adults. International Journal Of Aging & Human Development, 87(4), 377-391.
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View publication via DOI: DOI:10.1177/0091415017752939

Cotten, S. R., Schuster, A. M., & Seifert, A. (2022). Social media use and well-being among older adults. Current Opinion in Psychology, 45, Article 101293.
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View publication via DOI: DOI:10.1016/j.copsyc.2021.12.005

Craig, C. M., Neilson, B. N., Klein, M. I., & Overbeek, R. W. (2019). Self-reported nature exposure and its association with well-being as measured with affect and cognition. Visions for Sustainability, 11, 83-84.
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View publication via DOI: DOI:10.13135/2384-8677/3380

Creaven, A. M., Higgins, N. M., Ginty, A. T., & Gallagher, S (2020). Social support, social participation, and cardiovascular reactivity to stress in the Midlife in the United States (MIDUS) study. Biological Psychology, 155, Article 107921.
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View publication via DOI: DOI:10.1016/j.biopsycho.2020.107921

Crowley, O. V., Kimhy, D., McKinley, P. S., Burg, M. M., Schwartz, J. E., Lachman, M. E., Tun, P. A., Ryff, C. D., Seeman, T. E., & Sloan, R. P. (2016). Vagal recovery from cognitive challenge moderates age-related deficits in executive functioning. Research on Aging, 38(4), 504-525.
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View publication via DOI: DOI:10.1177/0164027515593345

Crowley, O. V., McKinley, P. S., Burg, M. M., Schwartz, J. E., Ryff, C. D., Weinstein, M., Seeman, T. E., & Sloan, R. P. (2011). The interactive effect of change in perceived stress and trait anxiety on vagal recovery from cognitive challenge. International Journal of Psychophysiology, 82(3), 225-232.
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View publication via DOI: DOI:10.1016/j.ijpsycho.2011.09.002

D'Amico, D., Amestoy, M. E., & Fiocco, A. J. (2020). The association between allostatic load and cognitive function: A systematic and meta-analytic review. Psychoneuroendocrinology, 121, Article 104849.
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View publication via DOI: DOI:10.1016/j.psyneuen.2020.104849

D'Amico, D., Amestoy, M. E., & Fiocco, A. J. (2022). The mediating role of allostatic load in the relationship between early life adversity and cognitive function across the adult lifespan. Psychoneuroendocrinology, 141, Article 105761.
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View publication via DOI: DOI:10.1016/j.psyneuen.2022.105761

Dewitte, L., Lewis, N. A., Payne, B. R., Turiano, N. A., & Hill, P. L. (2021). Cross-lagged relationships between sense of purpose in life, memory performance, and subjective memory beliefs in adulthood over a 9-year interval. Aging and Mental Health, 25(11), 2018-2027.
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View publication via DOI: DOI:10.1080/13607863.2020.1822284

DiBlasio, C. A., Sima, A., Kumar, R. G., Kennedy, R. E., Retnam, R., Lachman, M. E., Novack, T. A., & Dams-O'Connor, K (2021). Research letter: Performance of the Brief Test of Adult Cognition by Telephone in a national sample. Journal of Head Trauma Rehabilitation, 36(4), E233-E239.
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View publication via DOI: DOI:10.1097/HTR.0000000000000664

Eyre, H. A., & Baune, B. T. (2014). Assessing for unique immunomodulatory and neuroplastic profiles of physical activity subtypes: A focus on psychiatric disorders. Brain, Behavior, and Immunity, 39, 42-55.
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View publication via DOI: DOI:10.1016/j.bbi.2013.10.026

Friedman, E., Lebreton, B., Fuzzell, L., & Wehrspann, E. (2018). Biopsychosocial patterning of multimorbidity and its consequences. In C. D. Ryff & R. F. Krueger (Eds.), The Oxford handbook of integrative health science. New York: Oxford University Press.
View publication via DOI: DOI:10.1093/oxfordhb/9780190676384.001.0001

Gavett, B. E., & Horwitz, J. E. (2012). Immediate list recall as a measure of short-term episodic memory: Insights from the serial position effect and item response theory. Archives of Clinical Neuropsychology, 27(2), 125-135.
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View publication via DOI: DOI:10.1093/arclin/acr104

Gavett, B. E., Crane, P. K., & Dams-O'Connor, K (2013). Bi-factor analyses of the Brief Test of Adult Cognition by Telephone. NeuroRehabilitation, 32(2), 253-265.
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View publication via DOI: DOI:10.3233/nre-130842

Gleason, C. E., Dowling, N. M., Friedman, E. M., Wharton, W., & Asthana, S. (2012). Using predictors of hormone therapy use to model the healthy user bias: How does healthy user status influence cognitive effects of hormone therapy. Menopause, 19(5), 524-533.
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View publication via DOI: DOI:10.1097/gme.0b013e318238ff2c

Gonzalez-Mule, E., & Cockburn, B. S. (2021). This job is (literally) killing me: A moderated-mediated model linking work characteristics to mortality. Journal of Applied Psychology, 106(1), 140-151.
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View publication via DOI: DOI:10.1037/apl0000501

Graham, E. K., & Lachman, M. E. (2012). Personality stability is associated with better cognitive performance in adulthood: Are the stable more able? The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 67(5), 545-554.
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View publication via DOI: DOI:10.1093/geronb/gbr149

Grzywacz, J. G., Segel-Karpas, D., & Lachman, M. E. (2016). Workplace exposures and cognitive function during adulthood: Evidence from national survey of midlife development and the O*NET. Journal of Occupational & Environmental Medicine, 58(6), 535-541.
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View publication via DOI: DOI:10.1097/JOM.0000000000000727

Gurnani, A. S., John, S. E., & Gavett, B. E. (2015). Regression-based norms for a bi-factor model for scoring the Brief Test of Adult Cognition by Telephone (BTACT). Archives of Clinical Neuropsychology, 30(3), 280-291.
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View publication via DOI: DOI:10.1093/arclin/acv005

Gustavson, D. E., Panizzon, M. S., Kremen, W. S., Reynolds, C. A., Pahlen, S., Nygaard, M., Wod, M., Catts, V. S., Lee, T., Gatz, M., & Franz, C. E. (2021). Genetic and environmental influences on semantic verbal fluency across midlife and later life. Behavior Genetics, 51, 99-109.
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View publication via DOI: DOI:10.1007/s10519-021-10048-w

Hahn Rickenbach, E., Agrigoroaei, S., & Lachman, M. E. (2015). Awareness of memory ability and change: (in)accuracy of memory self-assessments in relation to performance. Journal of Population Ageing, 8(1-2), 71-99.
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View publication via DOI: DOI:10.1007/s12062-014-9108-5

Hahn Rickenbach, E., Almeida, D. M., Seeman, T. E., & Lachman, M. E. (2014). Daily stress magnifies the association between cognitive decline and everyday memory problems: An integration of longitudinal and diary methods. Psychology and Aging, 29(4), 852-862.
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View publication via DOI: DOI:10.1037/a0038072

Hahn, E. A., & Lachman, M. E. (2015). Everyday experiences of memory problems and control: The adaptive role of selective optimization with compensation in the context of memory decline. Aging, Neuropsychology, and Cognition, 22(1), 25-41.
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View publication via DOI: DOI:10.1080/13825585.2014.888391

Hamm, J. M., Heckhausen, J., Shane, J., & Lachman, M. E. (2020). Risk of cognitive declines with retirement: Who declines and why? Psychology and Aging, 35(3), 449-457.
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View publication via DOI: DOI:10.1037/pag0000453

Hartanto, A., Yong, J. C., & Toh, W. X. (2019). Bidirectional associations between obesity and cognitive function in midlife adults: A longitudinal study. Nutrients, 11(10), Article 2343.
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View publication via DOI: DOI:10.3390/nu11102343

Hartanto, A., Yong, J. C., Toh, W. X., Lee, S. T. H., Tng, G. Y. Q., & Tov, W. (2020). Cognitive, social, emotional, and subjective health benefits of computer use in adults: A 9-year longitudinal study from the Midlife in the United States (MIDUS). Computers in Human Behavior, 104, Article 106179.
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View publication via DOI: DOI:10.1016/j.chb.2019.106179

Hittner, E. F., Stephens, J. E., Turiano, N. A., Gerstorf, D., Lachman, M. E., & Haase, C. M. (2020). Positive affect is associated with less memory decline: Evidence from a 9-year longitudinal study. Psychological Science, 31(11), 1386-1395.
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View publication via DOI: DOI:10.1177/0956797620953883

Huang, J. L., Shaffer, J. A., Li, A., & King, R. A. (2019). General mental ability, conscientiousness, and the work-family interface: A test of mediating pathways. Personnel Psychology, 72(2), 291-321.
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View publication via DOI: DOI:10.1111/peps.12307

Hughes, M. L., & Lachman, M. E. (2018). Social comparisons of health and cognitive functioning contribute to changes in subjective age. The Journals of Gerontology. Series B, Psychological Sciences And Social Sciences, 73(5), 816-824.
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View publication via DOI: DOI:10.1093/geronb/gbw044

Hughes, M. L., Agrigoroaei, S., Jeon, M., Bruzzese, M., & Lachman, M. E. (2018). Change in cognitive performance from midlife into old age: Findings from the Midlife in the United States (MIDUS) study. Journal of the International Neuropsychological Society, 24(8), 805-820.
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View publication via DOI: DOI:10.1017/S1355617718000425

Jeon, S., Lee, S., & Charles, S. T. (2022). Not just how much, but how many: Overall and domain-specific activity variety and cognitive functioning in adulthood. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences. Advance online publication.
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View publication via DOI: DOI:10.1093/geronb/gbac053

Jokela, M. (2022). Why is cognitive ability associated with psychological distress and wellbeing? Exploring psychological, biological, and social mechanisms. Personality and Individual Differences, 192, Article 111592 .
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View publication via DOI: DOI:10.1016/j.paid.2022.111592

Kan, K.-J., van der Maas, H. L. J., & Levine, S. Z. (2019). Extending psychometric network analysis: Empirical evidence against g in favor of mutualism? Intelligence, 73, 52-62.
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View publication via DOI: DOI:10.1016/j.intell.2018.12.004

Karlamangla, A. S., Almeida, D. M., Lachman, M. E., Merkin, S. S., Thomas, D., & Seeman, T. E. (2022). Diurnal dynamic range as index of dysregulation of system dynamics. A cortisol examplar using data from the study of Midlife in the United States. Psychoneuroendocrinology, 142, Article 105804.
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View publication via DOI: DOI:10.1016/j.psyneuen.2022.105804

Karlamangla, A. S., Miller-Martinez, D., Lachman, M. E., Tun, P. A., Koretz, A., & Seeman, T. M. (2014). Biological correlates of adult cognition: Midlife in the United States (MIDUS). Neurobiology of Aging, 35(2), 387-394.
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View publication via DOI: DOI:10.1016/j.neurobiolaging.2013.07.028

Khoo, S. S., & Yang, H. (2020). Social media use improves executive functions in middle-aged and older adults: A structural equation modeling analysis. Computers in Human Behavior, 111, Article 106388.
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View publication via DOI: DOI:10.1016/j.chb.2020.106388

Kimhy, D., Crowley, O. V., McKinley, P. S., Burg, M. M., Lachman, M. E., Tun, P. A., Ryff, C. D., Seeman, T. E., & Sloan, R. P. (2013). The association of cardiac vagal control and executive functioning- findings from the MIDUS study. Journal of Psychiatric Research, 47(5), 628-635.
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View publication via DOI: DOI:10.1016/j.jpsychires.2013.01.018

Knight, E. L., Giuliano, R. J., Shank, S. W., Clarke, M. M., & Almeida, D. M. (2020). Parasympathetic and sympathetic nervous systems interactively predict change in cognitive functioning in midlife adults. Psychophysiology, Article e13622.
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View publication via DOI: DOI:10.1111/psyp.13622

Kumar, R. G., Ketchum, J. M., Hammond, F. M., Novack, T. A., O'Neil-Pirozzi, T. M., Silva, M. A., & Dams-O'Connor, K. (2022). Health and cognition among adults with and without Traumatic Brain Injury: A matched case-control study. Brain Injury. Advance online publication.
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View publication via DOI: DOI:10.1080/02699052.2022.2034190

Lachman, M. E., Agrigoroaei, S., Murphy, C., & Tun, P. A. (2010). Frequent cognitive activity compensates for education differences in episodic memory. American Journal of Geriatric Psychiatry, 18(1), 4-10.
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View publication via DOI: DOI:10.1097/JGP.0b013e3181ab8b62

Lachman, M. E., Agrigoroaei, S., Tun, P. A., & Weaver, S. L. (2014). Monitoring cognitive functioning: Psychometric properties of the Brief Test of Adult Cognition by Telephone. Assessment, 1(4), 404-417.
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View publication via DOI: DOI:10.1177/1073191113508807

Lachman, M. E., Teshale, S., & Agrigoroaei, S. (2014). Midlife as a pivotal period in the life course: Balancing growth and decline at the crossroads of youth and old age. International Journal of Behavioral Development, 39(1), 20-31.
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View publication via DOI: DOI:10.1177/0165025414533223

Lachman, M.E., & Tun, P.A. (2008). Cognitive testing in large-scale surveys: Assessment by telephone. In S. Hofer & D. Alwin (Eds.). Handbook on Cognitive Aging: Interdisciplinary Perspectives (pp. 506-522). Thousand Oaks, CA: Sage Publication.

Lachman, M.E., Rocke, C., & Rosnick, C. (2009). The rise and fall of control beliefs in adulthood: Trajectories of stability and change over ten years. In H.B. Bosworth & C. Hertzog (Eds.), Aging and cognition: Research methodologies and empirical advances. Decade of behavior (200-2010) (pp. 143-160). Washington, DC: American Psychological Association.
View publication via DOI: DOI:10.1037/11882-007

Lee, P. L. (2014). The relationship between memory complaints, activity and perceived health status. Scandinavian Journal of Psychology, 55(2), 136-141.
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View publication via DOI: DOI:10.1111/sjop.12107

Lee, P. L., Hsiao, C. H., & Wang, C. L. (2013). Physical activity and memory complaints in middle-age Americans: Results from the MIDUS Study. American Journal of Alzheimer's Disease and Other Dementias, 28(6), 600-605.
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View publication via DOI: DOI:10.1177/1533317513494744

Lee, P.-L. (2016). Control beliefs level and change as predictors of subjective memory complaints. Aging & Mental Health, 20(3), 329-335.
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View publication via DOI: DOI:10.1080/13607863.2015.1008991

Lee, P.-L. (2014). Cognitive function in midlife and beyond: Physical and cognitive activity related to episodic memory and executive functions. International Journal of Aging & Human Development, 79(4), 263-278.
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View publication via DOI: DOI:10.1177/0091415015574190

Lee, P.-L. (2016). A joyful heart is good medicine: Positive affect predicts memory complaints. The American Journal of Geriatric Psychiatry, 24(8), 662-670.
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View publication via DOI: DOI:10.1016/j.jagp.2016.04.001

Lee, S., Charles, S. T., & Almeida, D. M. (2021). Change is good for the brain: Activity diversity and cognitive functioning across adulthood. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 76(6), 1036-1048.
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View publication via DOI: DOI:10.1093/geronb/gbaa020

Lewis, G. J., Ritchie, S. J., & Bates, T. C. (2011). The relationship between intelligence and multiple domains of religious belief: Evidence from a large adult US sample. Intelligence, 39(6), 468-472.
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View publication via DOI: DOI:10.1016/j.intell.2011.08.002

Lewis, N. A., Turiano, N. A., Payne, B. R., & Hill, P. L. (2017). Purpose in life and cognitive functioning in adulthood. Aging, Neuropsychology, and Cognition, 24(6), 662-671.
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View publication via DOI: DOI:10.1080/13825585.2016.1251549

Lin, F., Friedman, E., Quinn, J., Chen, D.-G., & Mapstone, M. (2012). Effect of leisure activities on inflammation and cognitive function in an aging sample. Archives of Gerontology and Geriatrics, 54(3), e398-e404.
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View publication via DOI: DOI:10.1016/j.archger.2012.02.002

Lin, F., Heffner, K., Mapstone, M., Chen, D. G., & Porsteisson, A. (2014). Frequency of mentally stimulating activities modifies the relationship between cardiovascular reactivity and executive function in old age. American Journal of Geriatric Psychiatry, 22(11), 1210-1221.
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View publication via DOI: DOI:10.1016/j.jagp.2013.04.002

Lin, F., Roiland, R., Chen, D.-G., & Qiu, C. (2015). Linking cognition and frailty in middle and old age: Metabolic syndrome matters. International Journal of Geriatric Psychiatry, 30(1), 64-71.
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View publication via DOI: DOI:10.1002/gps.4115

Lindert, J., Paul, K. C., Lachman Margie, E., Ritz, B., & Seeman, T. (2021). Social stress and risk of declining cognition: A longitudinal study of men and women in the United States. Social Psychiatry and Psychiatric Epidemiology. Advance online publication.
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View publication via DOI: DOI:10.1007/s00127-021-02089-7

Lindert, J., Paul, K. C., Lachman, M. E., Ritz, B., & Seeman, T. E. (2021). Depression-, anxiety-, and anger and cognitive functions: Findings from a longitudinal prospective study. Frontiers in Psychiatry, 12, Article 665742.
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View publication via DOI: DOI:10.3389/fpsyt.2021.665742

Liu, Y., & Lachman, M. E. (2020). Education and cognition in mid age and later life: The mediating role of physical and cognitive activity. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 75(7), e93-e104.
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View publication via DOI: DOI:10.1093/geronb/gbz020

Liu, Y., & Lachman, M. E. (2019). Socioeconomic status and parenting style in childhood: Long-term effects on cognitive function in middle and later adulthood. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 74(6), e13-e24.
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View publication via DOI: DOI:10.1093/geronb/gbz034

Lynch, K. S., & Lachman, M. E. (2020). The effects of lifetime trauma exposure on cognitive functioning in midlife. Journal of Traumatic Stress, 33(5), 773-782.
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View publication via DOI: DOI:10.1002/jts.22522

Mann, S. L., Selby, E. A., Bates, M. E., & Contrada, R. J. (2015). Integrating affective and cognitive correlates of heart rate variability: A structural equation modeling approach. International Journal of Psychophysiology, 98(1), 76-86.
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View publication via DOI: DOI:10.1016/j.ijpsycho.2015.07.003

Mogle, J. A., Hill, N., & McDermott, C. (2017). Subjective memory in a national sample: Predicting psychological well-being. Gerontology. 63(5), 460-468.
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View publication via DOI: DOI:10.1159/000466691

Moliner, S., Quinn, J. M., & Sheffler, J. (2022). The mediating role of cardiometabolic dysregulation on the relation between Adverse Childhood Experiences and adult cognition. Psychosomatic Medicine. Advance online publication.
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View publication via DOI: DOI:10.1097/PSY.0000000000001093

Munoz, E., Scott, S. B., Corley, R., Wadsworth, S. J., Sliwinski, M. J., & Reynolds, C. A. (2020). The role of neighborhood stressors on cognitive function: A coordinated analysis. Health & Place, 66, Article 102442.
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View publication via DOI: DOI:10.1016/j.healthplace.2020.102442

Murdock, K. W., LeRoy, A. S., & Fagundes, C. P. (2018). Inhibition is associated with metabolic syndrome and depression through inflammation. Stress and Health, 34(3), 457-461.
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