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Cognitive Function

- Number of publications: 193


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

Bell, G., Singham, T., Saunders, R., Buckman, J. E. J., Charlesworth, G., Richards, M., John, A., & Stott, J. (2022). Positive psychological constructs and cognitive function: A systematic review and meta-analysis. Ageing Research Reviews, 82, Article 101745.
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View publication via DOI: DOI:10.1016/j.arr.2022.101745

Bennett, M. M., Tomas, C. W., & Fitzgerald, J. M. (2023). Relationship between heart rate variability and differential patterns of cortisol response to acute stressors in mid-life adults: A data-driven investigation. Stress and Health. Advance online publication.
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View publication via DOI: DOI:10.1002/smi.3327

Bhattacharyya, K. K., & Molinari, V. (2023). Does perceived generativity mediate the association between optimism and cognitive function over time? Findings from Midlife in the United States study. International Journal of Aging and Human Development. Advance online publication.
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View publication via DOI: DOI:10.1177/00914150231219007

Bhattacharyya, K. K., & Molinari, V. (2024). Impact of optimism on cognitive performance of people living in rural area: Findings from a 20-year study in US adults. Gerontology and Geriatric Medicine, 10, 1-12.
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View publication via DOI: DOI:10.1177/23337214241239147

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., Gupta, D. D., Schwartz, S., Molinari, V., & Fauth, E. B. (2024). Protective roles of meditation practice and self?esteem on cognitive functions over time: Findings from the Midlife in the United States study. Psychogeriatrics, 24(1), 94-107.
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View publication via DOI: DOI:10.1111/psyg.13046

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

Bhattacharyya, K. K., Liu, Y., Das Gupta, D., Molinari, V., & Fauth, E. B. (2023). The healthy caregiver? A positive impact of informal caregiving status on cognitive functions over time from the Midlife in the United States study. Journal of Aging and Health. Advance online publication.
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View publication via DOI: DOI:10.1177/08982643231209482

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. (2021). 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, 21(5), 962-971.
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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. (2022). 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, 77(2), 357-364.
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View publication via DOI: DOI:10.1093/gerona/glab099

Chen, R., Williams, D. R., Nishimi, K., Slopen, N., Kubzansky, L. D., & Weuve, J. (2022). A life course approach to understanding stress exposures and cognitive function among middle-aged and older adults. Social Science and Medicine, 314, Article 115448.
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View publication via DOI: DOI:10.1016/j.socscimed.2022.115448

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

Chua, K. Q., Ng, R., Sung, C. L. Q., Hartanto, A., Oh, V. Y. S., & Tong, E. M. W. (2023). Relationship between contentment and working memory capacity: Experimental and naturalistic evidence. Current Psychology, 42, 26243-26258.
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View publication via DOI: DOI:10.1007/s12144-022-03714-7

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

Coyle, T. R., Woodley of Menie, M. A., Penaherrera-Aguirre, M., Madison, G., & Sarraf, M. A. (2023). The heritability of ability tilts. Personality and Individual Differences, 213, Article 112187.
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View publication via DOI: DOI:10.1016/j.paid.2023.112187

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., Alter, U., & Fiocco, A. J. (2023). Cumulative stress exposure and cognitive function among older adults: The moderating role of a healthy lifestyle. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 78(12), 1983-1991.
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View publication via DOI: DOI:10.1093/geronb/gbad116

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

Fearn, K., & Bhattacharyya, K. K. (2024). Is use of psychedelic drugs a risk or protective factor for late-life cognitive decline? Gerontology and Geriatric Medicine, 10, 1-9.
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View publication via DOI: DOI:10.1177/23337214241250108

Finley, A. J., Angus, D. J., Knight, E., M., v. R. C., Lachman, M. E., Davidson, R. J., & Schaefer, S. M. (2024). Resting EEG periodic and aperiodic components predict cognitive decline over 10 years. Journal of Neuroscience, 44(13), Article e1332232024.
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View publication via DOI: DOI:10.1523/JNEUROSCI.1332-23.2024

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

Glei, D. A., Lee, C., & Weinstein, M. (2022). Income, wealth, and Black-White disparities in cognition. Social Science and Medicine, 310, Article 115298.
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View publication via DOI: DOI:10.1016/j.socscimed.2022.115298

Glei, Dana A., Mendes de Leon, Carlos F., Lee, C., & Weinstein, M. (2023). Cognition and mortality risk among midlife and older Americans. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 78(7), 1204-1211.
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View publication via DOI: DOI:10.1093/gerona/glad085

Gloger, E. M., & Segerstrom, S. C. (2022). Repetitive thought, cognition, and systemic inflammation in the Midlife in the United States study. Psychology & Health, Advance online publication.
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View publication via DOI: DOI:10.1080/08870446.2022.2092104

Gokce, E., Kaushal, N., Fontanille, T., Vrinceanu, T., Saillant, K., Vints, W. A. J., Freret, T., Gauthier, A., Bherer, L., & Langeard, A. (2024). The mediating role of lower body muscle strength and IGF-1 level in the relationship between age and cognition. A MIDUS substudy. Experimental Gerontology, 189, Article 112399.
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View publication via DOI: DOI: 10.1016/j.exger.2024.112399

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

Hamm, J. M., Parker, K., Lachman, M. E., Mogle, J. A., Duggan, K. A., & McGrath, R. (2024). Increased frequency of light physical activity during midlife and old age buffers against cognitive declines. Journal of Behavioral Medicine. Advance online publication.
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View publication via DOI: DOI:10.1007/s10865-024-00478-2

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, 77(7), 1229-1239.
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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

Keogh, T. M., Howard, S., & Gallagher, S. (2023). Behavioural clusters characteristic of cardiovascular reactivity profiles relate to poorer health outcomes. British Journal of Health Psychology, 28(2), 513-531.
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View publication via DOI: DOI:10.1111/bjhp.12638

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, 36(3), 415-423.
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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. 506-523). Sage Publications.
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View publication via DOI: DOI:10.4135/9781412976589.n30

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