Longitudinal Associations of Job Demand-Control Characteristics With Objective and Subjective Cognitive Outcomes in Older Workers: The Health and Retirement Study

. 2025 Dec ; 68 (12) : 1115-1130. [epub] 20251012

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid41077660

Grantová podpora
R01 AG073289 NIA NIH HHS - United States
T42 OH008412 NIOSH CDC HHS - United States
U01 AG009740 NIA NIH HHS - United States
This work utilized data sets from the Health and Retirement Study (HRS), which was funded by the National Institute on Aging (Grant Number NIA U01AG009740) and is conducted by the University of Michigan, as well as the RAND HRS data sets, which were funding by the National Institute on Aging and the Social Security Administration (Grant Numbers NIA U01AG009740 and NIA R01AG073289), and were developed by the RAND Center for the Study of Aging. For this analytic research project, M.G. was partially supported by the Graduate Research Mentorship Program from the University of California, Los Angeles, Division of Graduate Education. J.L. was partially supported by the Occupational Epidemiology Program in the Southern California National Institute for Occupational Safety and Health (NIOSH) Education and Research Center (Grant Number T42 OH008412), from the Centers for Disease Control and Prevention (CDC).

BACKGROUND: The job demand-control (JDC) psychosocial work model has demonstrated effects on objective cognitive performance, but its association with subjective memory is still poorly understood. We examined longitudinal associations of JDC characteristics with objective (general cognitive function/episodic memory) and subjective (perceived memory) cognition. METHODS: Using the Health and Retirement Study (HRS) data, 3497 workers aged 50+ were followed from 2006-2008 to 2018. Self-reported job demand and job control were dichotomized and later combined into quadrants reflecting high/low job strain and active/passive jobs. Analyses used covariate-adjusted generalized estimating equations. RESULTS: High job control was significantly positively associated with general cognitive function (regression coefficient: 0.409, p < 0.001), episodic memory (0.373, p < 0.001), and subjective memory (0.057, p = 0.034). "Low demand and high control" (low strain work) exhibited significant, positive associations with all cognitive outcomes. "High demand and high control" (active work) was significantly positively associated with objective cognitive outcomes. CONCLUSIONS: Opportunities for enhancing job control may promote objective cognition and subjective memory health in the US aging workforce.

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U.S. Bureau of Labor Statistics ,

Peng L. and Chan A. H. S., “A Meta‐Analysis of the Relationship Between Ageing and Occupational Safety and Health,” Safety Science 112 (2019): 162–172, 10.1016/j.ssci.2018.10.030. DOI

Harris K., Krygsman S., Waschenko J., and Laliberte Rudman D., “Ageism and the Older Worker: A Scoping Review,” Gerontologist 58, no. 2 (March 2018): gnw194, 10.1093/geront/gnw194. PubMed DOI

Cohen R. A., Marsiske M. M., and Smith G. E., “Neuropsychology of Aging,” in Geriatric Neurology, ed. Dekosky S. T. and Asthana S. (Handbook of Clinical Neurology, 2019), 149–180. PubMed

Maxfield M., Peckham A., and James D. L., “Terror Is a Better Word’: A Qualitative Analysis of Dementia‐Related Anxiety,” Gerontologist 64, no. 5 (May 2024): gnad146, 10.1093/geront/gnad146. PubMed DOI PMC

Wooten K. G., McGuire L. C., Olivari B. S., Jackson E. M. J., and Croft J. B., “Racial and Ethnic Differences in Subjective Cognitive Decline ‐ United States, 2015–2020,” Morbidity and Mortality Weekly Report 72, no. 10 (March 2023): 249–255, 10.15585/mmwr.mm7210a1. PubMed DOI PMC

Pike K. E., Cavuoto M. G., Li L., Wright B. J., and Kinsella G. J., “Subjective Cognitive Decline: Level of Risk for Future Dementia and Mild Cognitive Impairment, a Meta‐Analysis of Longitudinal Studies,” Neuropsychology Review 32, no. 4 (December 2022): 703–735, 10.1007/s11065-021-09522-3. PubMed DOI

Slot R. E. R., Sikkes S. A. M., Berkhof J., et al., “Subjective Cognitive Decline and Rates of Incident Alzheimer's Disease and Non‐Alzheimer's Disease Dementia,” Alzheimer's & Dementia 15, no. 3 (March 2019): 465–476, 10.1016/j.jalz.2018.10.003. PubMed DOI PMC

García de la Garza Á., Nester C., Wang C., et al., “Enhanced Associations Between Subjective Cognitive Concerns and Blood‐Based AD Biomarkers Using a Novel EMA Approach,” Alzheimer's Research & Therapy 17, no. 1 (April 2025): 82, 10.1186/s13195-025-01720-y. PubMed DOI PMC

John S. E., Evans S. A., Hanfelt J., Loring D. W., and Goldstein F. C., “Subjective Memory Complaints in White and African American Participants,” Journal of Geriatric Psychiatry and Neurology 33, no. 3 (May 2020): 135–143, 10.1177/0891988719868305. PubMed DOI PMC

Alzheimer's Association , “2024 Alzheimer's Disease Facts and Figures,” Alzheimer's & Dementia 20, no. 5 (May 2024): 3708–3821, 10.1002/alz.13809. PubMed DOI PMC

National Center for Health Statistics ,

Livingston G., Huntley J., Liu K. Y., et al., “Dementia Prevention, Intervention, and Care: 2024 Report of the Lancet Standing Commission,” Lancet 404, no. 10452 (August 2024): 572–628, 10.1016/S0140-6736(24)01296-0. PubMed DOI

Kivimäki M., Walker K. A., Pentti J., et al., “Cognitive Stimulation in the Workplace, Plasma Proteins, and Risk of Dementia: Three Analyses of Population Cohort Studies,” BMJ 374 (2021): n1804, 10.1136/bmj.n1804. PubMed DOI PMC

Karasek R. A., “Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign,” Administrative Science Quarterly 24, no. 2 (1979): 285–308, 10.2307/2392498. DOI

Grzywacz J. G., Segel‐Karpas D., and Lachman M. E., “Workplace Exposures and Cognitive Function During Adulthood: Evidence From National Survey of Midlife Development and the O*NET,” Journal of Occupational & Environmental Medicine 58, no. 6 (June 2016): 535–541, 10.1097/JOM.0000000000000727. PubMed DOI PMC

Rijs K. J., Van den Kommer T. N., Comijs H. C., and Deeg D. J. H., “Prevalence and Incidence of Memory Complaints in Employed Compared to Non‐Employed Aged 55–64 Years and the Role of Employment Characteristics,” PLoS One 10, no. 3 (March 2015): e0119192, 10.1371/journal.pone.0119192. PubMed DOI PMC

Stenfors C. U. D., Magnusson Hanson L., Oxenstierna G., Theorell T., and Nilsson L. G., “Psychosocial Working Conditions and Cognitive Complaints Among Swedish Employees,” PLoS One 8, no. 4 (April 2013): e60637, 10.1371/journal.pone.0060637. PubMed DOI PMC

Parker S. K., Ward M. K., and Fisher G. G., “Can High‐Quality Jobs Help Workers Learn New Tricks? A Multidisciplinary Review of Work Design for Cognition,” Academy of Management Annals 15, no. 2 (2021): 406–454, 10.5465/annals.2019.0057. DOI

Huang L.‐Y., Hu H.‐Y., Wang Z.‐T., et al., “Association of Occupational Factors and Dementia or Cognitive Impairment: A Systematic Review and Meta‐Analysis,” Journal of Alzheimer's Disease 78, no. 1 (2020): 217–227, 10.3233/JAD-200605. PubMed DOI

Nexø M. A., Meng A., and Borg V., “Can Psychosocial Work Conditions Protect Against Age‐Related Cognitive Decline? Results From a Systematic Review,” Occupational and Environmental Medicine 73, no. 7 (2016): 487–496, 10.1136/oemed-2016-103550. PubMed DOI PMC

Then F. S., Luck T., Luppa M., et al., “Systematic Review of the Effect of the Psychosocial Working Environment on Cognition and Dementia,” Occupational and Environmental Medicine 71, no. 5 (May 2014): 358–365, 10.1136/oemed-2013-101760. PubMed DOI

Andel R., Infurna F. J., Hahn Rickenbach E. A., Crowe M., Marchiondo L., and Fisher G. G., “Job Strain and Trajectories of Change in Episodic Memory Before and After Retirement: Results From the Health and Retirement Study,” Journal of Epidemiology and Community Health 69, no. 5 (May 2015): 442–446, 10.1136/jech-2014-204754. PubMed DOI

Sabbath E. L., Andel R., Zins M., Goldberg M., and Berr C., “Domains of Cognitive Function in Early Old Age: Which Ones Are Predicted by Pre‐Retirement Psychosocial Work Characteristics?,” Occupational and Environmental Medicine 73, no. 10 (October 2016): 640–647, 10.1136/oemed-2015-103352. PubMed DOI PMC

Nilsen C., Nelson M. E., Andel R., Crowe M., Finkel D., and Pedersen N. L., “Job Strain and Trajectories of Cognitive Change Before and After Retirement,” Journals of Gerontology: Series B 76, no. 7 (August 2021): 1313–1322, 10.1093/geronb/gbab033. PubMed DOI PMC

Sonnega A., Faul J. D., Ofstedal M. B., Langa K. M., Phillips J. W., and Weir D. R., “Cohort Profile: The Health and Retirement Study (HRS),” International Journal of Epidemiology 43, no. 2 (April 2014): 576–585, 10.1093/ije/dyu067. PubMed DOI PMC

Health and Retirement Study, [Dataset] 2022, 2023; (Cross‐Wave Tracker File; Langa‐Weir Classification of Cognitive Function [1995‐2020]) Public Use Dataset; Produced and Distributed by the University of Michigan With Funding From the National Institute on Aging (Grant Number NIA U01AG009740), https://hrsdata.isr.umich.edu/data-products/public-survey-data.

HRS, [Dataset] 2006, 2008, 2020; RAND HRS Fat Files 2006, the RAND HRS Fat Files 2008, RAND HRS Longitudinal File 2020; Produced by the RAND Center for the Study of Aging, With Funding From the National Institute on Aging and the Social Security Administration; V4A, V3A, V2, https://hrsdata.isr.umich.edu/data-products/rand.

von Elm E., Altman D. G., Egger M., Pocock S. J., Gøtzsche P. C., and Vandenbroucke J. P., “The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies,” Journal of Clinical Epidemiology 61, no. 4 (April 2008): 344–349, 10.1016/j.jclinepi.2007.11.008. PubMed DOI

Smith J., Lindsay H. R., Larkina M., Amanda S., and Weir D. R.,

Matthews T. A. and Li J., “Adverse Childhood Experiences, Social Isolation, Job Strain, and Cardiovascular Disease Mortality in U.S. Older Employees,” Medicina 59, no. 7 (July 2023): 1304, 10.3390/medicina59071304. PubMed DOI PMC

McCammon R. J., Fisher G. G., Halimah H., et al.,

Kim E. S., James P., Zevon E. S., Trudel‐Fitzgerald C., Kubzansky L. D., and Grodstein F., “Optimism and Healthy Aging in Women and Men,” American Journal of Epidemiology 188, no. 6 (June 2019): 1084–1091, 10.1093/aje/kwz056. PubMed DOI PMC

Morris E. P., Palms J. D., Scambray K., et al., “Interpersonal, Community, and Societal Stressors Mediate Black‐White Memory Disparities,” Journals of Gerontology, Series B: Psychological Sciences and Social Sciences 79, no. 11 (November 2024): 783–790, 10.1093/geronb/gbae163. PubMed DOI PMC

Langa K. M., Weir D. R., Kabeto M., and Sonnega A.

Li G., He Z., Hu J., et al., “Association Between Pain Interference and Motoric Cognitive Risk Syndrome in Older Adults: A Population‐Based Cohort Study,” BMC Geriatrics 24, no. 1 (May 2024): 437, 10.1186/s12877-024-04974-7. PubMed DOI PMC

Mutambudzi M. and Javed Z., “Job Strain as a Risk Factor for Incident Diabetes Mellitus in Middle and Older Age U.S. Workers,” Journals of Gerontology Series B: Psychological Sciences and Social Sciences 71, no. 6 (November 2016): 1089–1096, 10.1093/geronb/gbw091. PubMed DOI

Karasek R., Brisson C., Kawakami N., Houtman I., Bongers P., and Amick B., “The Job Content Questionnaire (JCQ): An Instrument for Internationally Comparative Assessments of Psychosocial Job Characteristics,” Journal of Occupational Health Psychology 3, no. 4 (1998): 322–355, 10.1037/1076-8998.3.4.322. PubMed DOI

Brandt J., Spencer M., and Folstein M., “The Telephone Interview for Cognitive Status,” Neuropsychiatry, Neuropsychology & Behavioral Neurology 1, no. 2 (1988): 111–118.

Welsh K. A., Breitner J. C. S., and Magruder‐Habib K. M., “Detection of Dementia in the Elderly Using Telephone Screening of Cognitive Status,” Neuropsychiatry, Neuropsychology, and Behavioral Neurology 6, no. 2 (April 1993): 103–110.

Crimmins E. M., Kim J. K., Langa K. M., and Weir D. R., “Assessment of Cognition Using Surveys and Neuropsychological Assessment: The Health and Retirement Study and the Aging, Demographics, and Memory Study,” Journals of Gerontology Series B: Psychological Sciences and Social Sciences 66, no. Suppl 1 (2011): i162–i171, 10.1093/geronb/gbr048. PubMed DOI PMC

Lee J., Kim J., and An S. J., “Association of Diabetes Risk With Changes in Memory, Working Memory, and Processing Speed Among Older Adults,” Frontiers in Psychology 15 (2024): 1427139, 10.3389/fpsyg.2024.1427139. PubMed DOI PMC

Amano T., Jia Y., and Redding A., “The Dynamic and Reciprocal Relationship Between Perceived Everyday Discrimination and Cognitive Function in Later Life,” Aging & Mental Health 28, no. 10 (October 2024): 1372–1382, 10.1080/13607863.2024.2338196. PubMed DOI

Rouse H. J., Doyle C., Hueluer G., et al., “Music Engagement and Episodic Memory Among Middle‐Aged and Older Adults: A National Longitudinal Analysis,” Journals of Gerontology: Series B 78, no. 9 (August 2023): 1484–1492, 10.1093/geronb/gbad058. PubMed DOI

Crimmins E. M., Saito Y., and Kim J. K., “Change in Cognitively Healthy and Cognitively Impaired Life Expectancy in the United States: 2000–2010,” SSM ‐ Population Health 2 (December 2016): 793–797, 10.1016/j.ssmph.2016.10.007. PubMed DOI PMC

Schneider S., Junghaenel D. U., Meijer E., et al., “Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk,” Innovation in Aging 6, no. 3 (2022): igac027, 10.1093/geroni/igac027. PubMed DOI PMC

Aschwanden D., Sutin A. R., Luchetti M., et al., “The Bite Is Worse Than the Bark: Associations of Personality and Depressive Symptoms With Memory Discrepancy,” Psychology and Aging 37, no. 5 (August 2022): 575–590, 10.1037/pag0000675. PubMed DOI PMC

Stephan Y., Sutin A. R., Luchetti M., Aschwanden D., Cabibel V., and Terracciano A., “Measures of Physical Performance as Mediators Between Personality and Cognition in Two Prospective Studies,” Archives of Gerontology and Geriatrics 107 (April 2023): 104902, 10.1016/j.archger.2022.104902. PubMed DOI PMC

Lee C. D. and Foster E. R., “Subjective Memory Complaints Predict Decline in Memory, Instrumental Activities of Daily Living, and Social Participation in Older Adults: A Fixed‐Effects Model,” American Journal of Occupational Therapy 77, no. 4 (July 2023): 7704205100, 10.5014/ajot.2023.050151. PubMed DOI PMC

Zhao Y., Inder B., and Kim J. S., “Spousal Bereavement and the Cognitive Health of Older Adults in the US: New Insights on Channels, Single Items, and Subjective Evidence,” Economics & Human Biology 43 (December 2021): 101055, 10.1016/j.ehb.2021.101055. PubMed DOI

Kelly M. E., Duff H., Kelly S., et al., “The Impact of Social Activities, Social Networks, Social Support and Social Relationships on the Cognitive Functioning of Healthy Older Adults: A Systematic Review,” Systematic Reviews 6, no. 1 (December 2017): 259, 10.1186/s13643-017-0632-2. PubMed DOI PMC

Gupta S., “Racial and Ethnic Disparities in Subjective Cognitive Decline: A Closer Look, United States, 2015–2018,” BMC Public Health 21, no. 1 (June 2021): 1173, 10.1186/s12889-021-11068-1. PubMed DOI PMC

Harada C. N., Natelson Love M. C., and Triebel K. L., “Normal Cognitive Aging,” Clinics in Geriatric Medicine 29, no. 4 (2013): 737–752, 10.1016/j.cger.2013.07.002. PubMed DOI PMC

Hedges D., Farrer T. J., Bigler E. D., and Hopkins R. O., “Cerebrovascular Disease and Cognition,” in The Brain at Risk (Springer, 2019): 85–99.

Jennings E. A., Farrell M. T., Liu Y., and Montana L., “Associations Between Cognitive Function and Marital Status in the United States, South Africa, Mexico, and China,” SSM ‐ Population Health 20 (December 2022): 101288, 10.1016/j.ssmph.2022.101288. PubMed DOI PMC

Levine D. A., Gross A. L., Briceño E. M., et al., “Sex Differences in Cognitive Decline Among US Adults,” JAMA Network Open 4, no. 2 (February 2021): e210169, 10.1001/jamanetworkopen.2021.0169. PubMed DOI PMC

Marden J. R., Tchetgen Tchetgen E. J., Kawachi I., and Glymour M. M., “Contribution of Socioeconomic Status at 3 Life‐Course Periods to Late‐Life Memory Function and Decline: Early and Late Predictors of Dementia Risk,” American Journal of Epidemiology 186, no. 7 (October 2017): 805–814, 10.1093/aje/kwx155. PubMed DOI PMC

Bjelajac A. K., Bobić J., Kovačić J., Varnai V. M., Macan J., and Smolić Š., “Employment Status and Other Predictors of Mental Health and Cognitive Functions in Older Croatian Workers,” Archives of Industrial Hygiene and Toxicology 70, no. 2 (June 2019): 109–117, 10.2478/aiht-2019-70-3254. PubMed DOI

Salthouse T. A., “Effects of Age on Time‐Dependent Cognitive Change,” Psychological Science 22, no. 5 (May 2011): 682–688, 10.1177/0956797611404900. PubMed DOI PMC

An R. and Xiang X., “Smoking, Heavy Drinking, and Depression Among U.S. Middle‐Aged and Older Adults,” Preventive Medicine 81 (December 2015): 295–302, 10.1016/j.ypmed.2015.09.026. PubMed DOI

Keyes K. M., Calvo E., Ornstein K. A., et al., “Alcohol Consumption in Later Life and Mortality in the United States: Results From 9 Waves of the Health and Retirement Study,” Alcoholism: Clinical and Experimental Research 43, no. 8 (2019): 1734–1746, 10.1111/acer.14125. PubMed DOI PMC

Wang Y. and Matz‐Costa C., “Gender Differences in the Effect of Social Resources and Social Status on the Retirement Satisfaction and Health of Retirees,” Journal of Gerontological Social Work 62, no. 1 (January 2019): 86–107, 10.1080/01634372.2018.1474156. PubMed DOI

Li G., Lu Y., Shao L., et al., “Handgrip Strength Is Associated With Risks of New‐Onset Stroke and Heart Disease: Results From 3 Prospective Cohorts,” BMC Geriatrics 23, no. 1 (May 2023): 268, 10.1186/s12877-023-03953-8. PubMed DOI PMC

Radloff L. S., “The CES‐D Scale: A Self‐Report Depression Scale for Research in the General Population,” Applied Psychological Measurement 1, no. 3 (1977): 385–401, 10.1177/014662167700100306. DOI

Steffick D. E.,

Chen P., Sun H. L., Zhang L., et al., “Inter‐Relationships of Depression and Insomnia Symptoms With Life Satisfaction in Stroke and Stroke‐Free Older Adults: Findings From the Health and Retirement Study Based on Network Analysis and Propensity Score Matching,” Journal of Affective Disorders 356 (July 2024): 568–576, 10.1016/j.jad.2024.04.036. PubMed DOI

Siegrist J., “Adverse Health Effects of High‐Effort/Low‐Reward Conditions,” Journal of Occupational Health Psychology 1, no. 1 (1996): 27–41, 10.1037/1076-8998.1.1.27. PubMed DOI

Guardiano M., Matthews T. A., Liu S., Arah O. A., Siegrist J., and Li J., “Longitudinal Associations of Effort and Reward at Work With Changes in Cognitive Function: Evidence From a National Study of U.S. Workers,” International Archives of Occupational and Environmental Health 97, no. 7 (September 2024): 745–755, 10.1007/s00420-024-02081-z. PubMed DOI PMC

Riedel N., Siegrist J., Wege N., Loerbroks A., Angerer P., and Li J., “Do Effort and Reward at Work Predict Changes in Cognitive Function? First Longitudinal Results From the Representative German Socio‐Economic Panel,” International Journal of Environmental Research and Public Health 14, no. 11 (2017): 1390, 10.3390/ijerph14111390. PubMed DOI PMC

Cho E. and Chen T. Y., “The Bidirectional Relationships Between Effort‐Reward Imbalance and Sleep Problems Among Older Workers,” Sleep Health 6, no. 3 (June 2020): 299–305, 10.1016/j.sleh.2020.01.008. PubMed DOI

Mutambudzi M., Siegrist J., Meyer J. D., and Li J., “Association Between Effort‐Reward Imbalance and Self‐Reported Diabetes Mellitus in Older U.S. Workers,” Journal of Psychosomatic Research 104 (January 2018): 61–64, 10.1016/j.jpsychores.2017.11.008. PubMed DOI

van Zon S. K. R., Reijneveld S. A., Galaurchi A., Mendes de Leon C. F., Almansa J., and Bültmann U., “Multimorbidity and the Transition Out of Full‐Time Paid Employment: A Longitudinal Analysis of the Health and Retirement Study,” Journals of Gerontology: Series B 75, no. 3 (February 2020): 705–715, 10.1093/geronb/gbz061. PubMed DOI PMC

Liang K. Y. and Zeger S. L., “Longitudinal Data‐Analysis Using Generalized Linear‐Models,” Biometrika 73, no. 1 (April 1986): 13–22, 10.2307/2336267. DOI

Pekár S. and Brabec M., “Generalized Estimating Equations: A Pragmatic and Flexible Approach to the Marginal GLM Modelling of Correlated Data in the Behavioural Sciences,” Ethology 124, no. 2 (2017): 86–93, 10.1111/eth.12713. DOI

Maggio C., Soubelet A., Faure S., and Fort I., “The Relationships Between Perceived Control and Episodic Memory in Adulthood: A Review,” Aging, Neuropsychology, and Cognition 26, no. 2 (March 2019): 222–243, 10.1080/13825585.2017.1423022. PubMed DOI

Luo M. S., Li L. W., and Chui E. W. T., “Self‐Perceptions of Aging and Control of Life in Late Adulthood: Between‐Person and Within‐Person Associations,” Journal of Aging and Health 32, no. 9 (October 2020): 1275–1281, 10.1177/0898264320917303. PubMed DOI

Schiloski K. A. and Lachman M. E., “The Relationship Between 10‐Year Changes in Cognitive Control Beliefs and Cognitive Performance in Middle and Later Adulthood,” Journals of Gerontology, Series B: Psychological Sciences and Social Sciences 79, no. 11 (November 2024): gbae155, 10.1093/geronb/gbae155. PubMed DOI PMC

Lee P. L., “Control Beliefs Level and Change as Predictors of Subjective Memory Complaints,” Aging & Mental Health 20, no. 3 (2016): 329–335, 10.1080/13607863.2015.1008991. PubMed DOI

de Souza‐Talarico J. N., Suemoto C. K., Santos I. S., et al., “Work‐Related Stress and Cognitive Performance Among Middle‐Aged Adults: The Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil),” Stress and Health 36, no. 1 (February 2020): 19–30, 10.1002/smi.2906. PubMed DOI

Ford K. J., Batty G. D., and Leist A. K., “Examining Gender Differentials in the Association of Low Control Work With Cognitive Performance in Older Workers,” European Journal of Public Health 31, no. 1 (2021): 174–180, 10.1093/eurpub/ckaa173. PubMed DOI PMC

Pan K.‐Y., Xu W., Mangialasche F., Dekhtyar S., Fratiglioni L., and Wang H.‐X., “Working Life Psychosocial Conditions in Relation to Late‐Life Cognitive Decline: A Population‐Based Cohort Study,” Journal of Alzheimer's Disease 67, no. 1 (2019): 315–325, 10.3233/JAD-180870. PubMed DOI

Andel R., Crowe M., Kareholt I., Wastesson J., and Parker M. G., “Indicators of Job Strain at Midlife and Cognitive Functioning in Advanced Old Age,” Journals of Gerontology Series B: Psychological Sciences and Social Sciences 66, no. 3 (May 2011): 287–291, 10.1093/geronb/gbq105. PubMed DOI

Elovainio M., Ferrie J. E., Singh‐Manoux A., et al., “Cumulative Exposure to High‐Strain and Active Jobs as Predictors of Cognitive Function: The Whitehall II Study,” Occupational and Environmental Medicine 66, no. 1 (January 2009): 32–37, 10.1136/oem.2008.039305. PubMed DOI PMC

Zhuo L.‐B., Pei J.‐J., Yan Z., Yao W., Hao C.‐F., and Wang H.‐X., “Working Life Job Strain Status and Cognitive Aging in Europe: A 12‐Year Follow‐Up Study,” Journal of Affective Disorders 295 (2021): 1177–1183, 10.1016/j.jad.2021.08.114. PubMed DOI

Sindi S., Kiasat S., Kåreholt I., and Nilsen C., “Psychosocial Working Conditions and Cognitive and Physical Impairment in Older Age,” Archives of Gerontology and Geriatrics 104 (January–February 2023): 104802, 10.1016/j.archger.2022.104802. PubMed DOI

Sheftel M. G., Goldman N., Pebley A. R., Pratt B., and Park S. S., “Life Course Exposure to Work Strain and Cognitive Disparities by Race and Ethnicity,” SSM ‐ Population Health 29 (March 2025): 101765, 10.1016/j.ssmph.2025.101765. PubMed DOI PMC

Wion R. K., Hill N. L., Reed Bell T., Mogle J., Yates J., and Bhang I., “The Role of Cognitive Self‐Report Measure Type in Predicting Cognitive Decline Among Older Adults: A Systematic Review,” Journal of Geriatric Psychiatry and Neurology 35, no. 4 (July 2022): 487–511, 10.1177/08919887211023591. PubMed DOI PMC

Bell T. R., Hill N. L., Bhargava S., and Mogle J., “Parental Dementia and Subjective Memory Impairment in the Health and Retirement Study,” Aging & Mental Health 26, no. 5 (May 2022): 992–1000, 10.1080/13607863.2021.1910790. PubMed DOI PMC

Dong L., Eaton W. W., Spira A. P., Agnew J., Surkan P. J., and Mojtabai R., “Job Strain and Cognitive Change: The Baltimore Epidemiologic Catchment Area Follow‐Up Study,” Occupational and Environmental Medicine 75, no. 12 (December 2018): 856–862, 10.1136/oemed-2018-105213. PubMed DOI PMC

Vigoureux T. F. D., Nelson M. E., Andel R., Small B. J., Dávila‐Roman A. L., and Crowe M., “Job Strain and Late‐Life Cognition: Findings From the Puerto Rican Elderly Health Conditions Study,” Journal of Aging and Health 33, no. 3–4 (March 2021): 273–284, 10.1177/0898264320977329. PubMed DOI PMC

Agbenyikey W., Karasek R., Cifuentes M., et al., “Job Strain and Cognitive Decline: A Prospective Study of the Framingham Offspring Cohort,” International Journal of Occupational and Environmental Medicine 6, no. 2 (2015): 79–94, 10.15171/ijoem.2015.534. PubMed DOI PMC

Duchaine C. S., Brisson C., Diorio C., et al., “Work‐Related Psychosocial Factors and Global Cognitive Function: Are Telomere Length and Low‐Grade Inflammation Potential Mediators of This Association?,” International Journal of Environmental Research and Public Health 20, no. 6 (2023): 4929, 10.3390/ijerph20064929. PubMed DOI PMC

Karasek R. and Theorell T., Healthy Work: Stress, Productivity, and the Reconstruction of Working Life (Basic Books, 1990).

Jacobson M., Joe E., and Zissimopoulos J., “Barriers to Seeking Care for Memory Problems: A Vignette Study,” Alzheimer's & Dementia: Translational Research & Clinical Interventions 8, no. 1 (2022): e12238, 10.1002/trc2.12238. PubMed DOI PMC

Yamashita T., Narine D., Chidebe R. C. W., et al., “Digital Skills, STEM Occupation, and Job Automation Risks Among the Older Workers in the United States,” Gerontologist 64, no. 8 (August 2024): gnae069, 10.1093/geront/gnae069. PubMed DOI

Siegrist J., Matthews T. A., and Li J., “Failed Reciprocity in Core Social Roles and Cardiovascular Disease Mortality: Prospective Results From the U.S. Health and Retirement Study,” BMC Public Health 25, no. 1 (March 2025): 1090, 10.1186/s12889-025-22259-5. PubMed DOI PMC

Pan K. Y., Xu W., Mangialasche F., et al., “Psychosocial Working Conditions, Trajectories of Disability, and the Mediating Role of Cognitive Decline and Chronic Diseases: A Population‐Based Cohort Study,” PLoS Medicine 16, no. 9 (September 2019): e1002899, 10.1371/journal.pmed.1002899. PubMed DOI PMC

Wu Z., Phyo A. Z. Z., Al‐Harbi T., Woods R. L., and Ryan J., “Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review,” Journal of Alzheimer's Disease Reports 4, no. 1 (October 2020): 459–478, 10.3233/ADR-200232. PubMed DOI PMC

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