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Development of a protective mental work demands questionnaire

Published online by Cambridge University Press:  21 May 2020

Felix S. Hussenoeder ,
Ines Conrad ,
Steffi G. Riedel-Heller  and
Francisca S. Rodriguez
Felix S. Hussenoeder*
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
Ines Conrad
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
Steffi G. Riedel-Heller
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
Francisca S. Rodriguez
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany Center for Cognitive Science, University of Kaiserslautern, Kaiserslautern, Germany
*
Correspondence should be addressed to: Felix S. Hussenoeder, Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103Leipzig, Germany. Phone: +49 (0)341/9715404; Fax +49 (0)3419724569. Email: Felix.Hussenoeder@medizin.uni-leipzig.de.
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Abstract

Objectives:

Research shows that mental demands at work affect later-life cognitive functioning and dementia risk, but systematic assessment of protective mental work demands (PMWDs) is still missing. The goal of this research was to develop a questionnaire to assess PMWDs.

Design:

The instrument was developed in accordance with internationally recognized scientific standards comprising conceptualization, pretesting, and validation via confirmatory factor analysis (CFA), principal component analysis (PCA), and multiple regression analyses.

Participants:

We included 346 participants, 72.3% female, with an average age of 56.3 years.

Measurement:

Item pool, sociodemographic questions, and cognitive tests: Trail-Making Test A/B, Word List Recall, Verbal Fluency Test, Benton Visual Retention Test, Reading Minds in the Eyes Test.

Results:

CFAs of eight existing PMWD-concepts revealed weaker fit indices than PCA of the item pool that resulted in five concepts. We computed multivariate regression analyses with all 13 PMWD-concepts as predictors of cognitive functioning. After removing PMWD-concepts that predicted less than two cognitive test scores and excluding others due to overlapping items, the final questionnaire contained four PMWD-concepts: Mental Workload (three items, Cronbach’s α = .58), Verbal Demands (four, Cronbach’s α = .74), Information Load (six, Cronbach’s α = .83), and Extended Job Control (six, Cronbach’s α = .83).

Conclusions:

The PMWD-Questionnaire intends to assess protective mental demands at the workplace. Information processing demands and job control make up the primary components emphasizing their relevance regarding cognitive health in old age. Long-term follow-up studies will need to validate construct validity with respect to dementia risk.

Keywords

mental demandsworkplacejob demandscognitive functioningtest developmentjob controlinformation loadbrain health
Type
Original Research Article
Information
International Psychogeriatrics , Volume 33 , Special Issue 7: Issue Theme: Cognitive Aging: Subjective and Objective , July 2021 , pp. 715 - 726
Copyright
© International Psychogeriatric Association 2020

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References

Aebi, C. et al. (2002). Validation of the German CERAD-neuropsychological assessment battery. Neurobiology of Aging, 23, S27–S28.Google Scholar
Åhlin, J. K., LaMontagne, A. D. and Magnusson Hanson, L. L. (2019). Are there bidirectional relationships between psychosocial work characteristics and depressive symptoms? A fixed effects analysis of Swedish national panel survey data. Occupational and Environmental Medicine, 76, 455–461. doi: 10.1136/oemed-2018-105450CrossRefGoogle ScholarPubMed
Andel, R. et al. (2011). Indicators of job strain at midlife and cognitive functioning in advanced old age. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 66, 287–291. doi: 10.1093/geronb/gbq105CrossRefGoogle ScholarPubMed
Andel, R. et al. (2015). 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, 442–446. doi: 10.1136/jech-2014-204754CrossRefGoogle ScholarPubMed
Andel, R., Finkel, D. and Pedersen, N. L. (2016). Effects of preretirement work complexity and postretirement leisure activity on cognitive aging. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 71, 849–856. doi: 10.1093/geronb/gbv026CrossRefGoogle ScholarPubMed
Baron-Cohen, S. et al. (2001). The ‘Reading the Mind in the Eyes’ test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 42, 241–251.CrossRefGoogle ScholarPubMed
Benton, A. L. (1974). Visual Retention Test. New York: Psychological Corporation.Google Scholar
Bosma, H. et al. (2003a). Education and age-related cognitive decline: the contribution of mental workload. Educational Gerontology, 29, 165–173. doi: 10.1080/10715769800300191CrossRefGoogle Scholar
Bosma, H. et al. (2003b). Mental work demands protect against cognitive impairment: MAAS prospective cohort study. Experimental Aging Research, 29, 33–45. doi: 10.1080/03610730390168067CrossRefGoogle ScholarPubMed
Brancato, G. et al. (2006). Handbook of recommended practices for questionnaire development and testing in the European statistical system. European Statistical System.Google Scholar
Byrne, B. M. (2012) Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming. New York: Routledge.Google Scholar
Chandler, M. J. et al. (2005). A total score for the CERAD neuropsychological battery. Neurology, 65, 102–106. doi: 10.1212/01.wnl.0000167607.63000.38CrossRefGoogle ScholarPubMed
Cherbuin, N., Kim, S. and Anstey, K. J. (2015). Dementia risk estimates associated with measures of depression: a systematic review and meta-analysis. BMJ Open, 5, e008853. doi: 10.1136/bmjopen-2015-008853CrossRefGoogle ScholarPubMed
Conrad, I. et al. (2015). Lebensqualität von älteren Menschen mitleichtenkognitivenStörungen. Psychiatrische Praxis, 42, 152–157. doi: 10.1055/s-0034-1369831Google Scholar
Correa Ribeiro, P. C., Lopes, C. S. and Lourenco, R. A. (2013). Complexity of lifetime occupation and cognitive performance in old age. Occupational Medicine-Oxford, 63, 556–562. doi: 10.1093/occmed/kqt115CrossRefGoogle ScholarPubMed
Deckers, K. et al. (2015). Target risk factors for dementia prevention: a systematic review and Delphi consensus study on the evidence from observational studies. International Journal of Geriatric Psychiatry, 30, 234–246. doi: 10.1002/gps.4245CrossRefGoogle Scholar
Dekhtyar, S. et al. (2015). A life-course study of cognitive reserve in dementia—from childhood to old age. The American Journal of Geriatric Psychiatry, 23, 885–896. doi: 10.1016/j.jagp.2015.02.002CrossRefGoogle ScholarPubMed
Dekhtyar, S. et al. (2016). Childhood school performance, education and occupational complexity: a life-course study of dementia in the Kungsholmen Project. International Journal of Epidemiology, 45, 1207–1215. doi: 10.1093/ije/dyw008Google ScholarPubMed
Fan, J.K., Mustard, C. and Smith, P. M. (2019). Psychosocial work conditions and mental health: examining differences across mental illness and well-being outcomes. Annals of Work Exposures and Health, 63, 546–559.doi: 10.1093/annweh/wxz028CrossRefGoogle ScholarPubMed
Fisher, G. G. et al. (2014). Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. Journal of Occupational Health Psychology, 19, 231–242. doi: 10.1037/a0035724CrossRefGoogle ScholarPubMed
Harvey, S. B. et al. (2017). Can work make you mentally ill? A systematic meta-review of work-related risk factors for common mental health problems. Occupational and Environmental Medicine, 74, 301–310. doi: 10.1136/oemed-2016-104015CrossRefGoogle ScholarPubMed
Heser, K. et al. (2013). Age of major depression onset, depressive symptoms, and risk for subsequent dementia: results of the German study on Ageing, Cognition, and Dementia in Primary Care Patients (AgeCoDe). Psychological Medicine, 43, 1597–1610. doi: 10.1017/S0033291712002449CrossRefGoogle Scholar
Hu, C. et al. (2017). The prevalence and progression of mild cognitive impairment among clinic and community populations: a systematic review and meta-analysis. International Psychogeriatrics, 29, 1595–1608. doi: 10.1017/S1041610217000473CrossRefGoogle ScholarPubMed
Hu, L. -T. and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. doi: 10.1080/10705519909540118CrossRefGoogle Scholar
Hussenoeder, F. S. et al. (2019). Concepts of mental demands at work that protect against cognitive decline and dementia: a systematic review. American Journal of Health Promotion. doi: 10.1177/0890117119861309CrossRefGoogle ScholarPubMed
Hussenoeder, F. S. and Riedel-Heller, S. G. (2018). Primary prevention of dementia: from modifiable risk factors to a public brain health agenda?’ Social Psychiatry and Psychiatric Epidemiology, 53, 1289–1301. doi: 10.1007/s00127-018-1598-7CrossRefGoogle ScholarPubMed
ICPSR, Dictionary of Occupational Titles (DOT): Revised Fourth Edition, 1991 (Accessed: 7 December 2017).Google Scholar
Lane, A. P. et al. (2017). Is occupational complexity associated with cognitive performance or decline? Results from the Australian Longitudinal Study of Ageing. Gerontology, 63, 550–559. doi: 10.1159/000475559CrossRefGoogle ScholarPubMed
Marquie, J. C. et al. (2010). Higher mental stimulation at work is associated with improved cognitive functioning in both young and older workers. Ergonomics, 53, 1287–1301. doi: 10.1080/00140139.2010.519125CrossRefGoogle Scholar
McGurn, B., Deary, I. J. and Starr, J. M. (2008). Childhood cognitive ability and risk of late-onset Alzheimer and vascular dementia. Neurology, 71, 1051–1056. doi: 10.1212/01.wnl.0000319692.20283.10CrossRefGoogle ScholarPubMed
Pool, L. R. et al. (2016). Occupational cognitive requirements and late-life cognitive aging. Neurology, 86, 1386–1392. doi: 10.1212/WNL.0000000000002569CrossRefGoogle ScholarPubMed
Potter, G. G., Helms, M. J. and Plassman, B. L. (2008). Associations of job demands and intelligence with cognitive performance among men in late life. Neurology, 70, 1803–1808. doi: 10.1212/01.wnl.0000295506.58497.7eCrossRefGoogle ScholarPubMed
Prince, M. J. et al. (2015). World Alzheimer Report 2015 - The Global Impact of Dementia: World Alzheimer Report 2015 - The Global Impact of Dementia. (An analysis of prevalence, incidence, cost and trends), Alzheimer’s Disease International.Google Scholar
PROMIS (2013). PROMIS Instrument Development and Psychometric Evaluation Scientific Standards 2012.http://www.nihpromis.org/Documents/PROMIS_Standards_050212.pdf.Google Scholar
Rodriguez, F. S. et al. (2017). Could high mental demands at work offset the adverse association between social isolation and cognitive functioning? Results of the population-based LIFE-adult-study. The American Journal of Geriatric Psychiatry, 25, 1258–1269. doi: 10.1016/j.jagp.2017.05.014CrossRefGoogle ScholarPubMed
Russ, T. C. et al. (2017). Childhood cognitive ability and incident dementia: the 1932 Scottish Mental Survey Cohort into their 10th decade. Epidemiology, 28, 361–364. doi: 10.1097/EDE.0000000000000626CrossRefGoogle ScholarPubMed
Sabbath, E. L. et al. (2016). Domains of cognitive function in early old age: which ones are predicted by pre-retirement psychosocial work characteristics? Occupational and Environmental Medicine, 73, 640–647. doi: 10.1136/oemed-2015-103352CrossRefGoogle ScholarPubMed
Sandi, C. (2013). Stress and cognition. Wiley Interdisciplinary Reviews. Cognitive Science, 4, 245–261. doi: 10.1002/wcs.1222CrossRefGoogle ScholarPubMed
Seidler, A. et al. (2004). Psychosocial work factors and dementia. Occupational and Environmental Medicine, 61, 962–971. doi: 10.1136/oem.2003.012153CrossRefGoogle ScholarPubMed
Smart, E. L., Gow, A. J. and Deary, I. J. (2014). Occupational complexity and lifetime cognitive abilities. Neurology, 83, 2285–2291. doi: 10.1212/WNL.0000000000001075CrossRefGoogle ScholarPubMed
Steck, P. (2002). EinemodifizierteAnwendung des Visual Retention Test nach A.L. Benton. Zeitschriftfür Neuropsychologie, 13, 127–138. doi: 10.1024//1016-264X.13.2.127CrossRefGoogle Scholar
Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8, 448–460. doi: 10.1017/S1355617702813248CrossRefGoogle ScholarPubMed
Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47, 2015–2028. doi: 10.1016/j.neuropsychologia.2009.03.004CrossRefGoogle ScholarPubMed
Stern, Y. et al. (2018). A task-invariant cognitive reserve network. NeuroImage, 178, 36–45. doi: 10.1016/j.neuroimage.2018.05.033CrossRefGoogle ScholarPubMed
Then, F. S. et al. (2013). Enriched environment at work and the incidence of dementia: results of the Leipzig longitudinal study of the aged (LEILA 75+). PloS One, 8, e70906.doi: 10.1371/journal.pone.0070906CrossRefGoogle Scholar
Then, F. S. et al. (2014). Systematic review of the effect of the psychosocial working environment on cognition and dementia. Occupational and Environmental Medicine, 71, 358. doi: 10.1136/oemed-2013-101760CrossRefGoogle ScholarPubMed
Then, F. S. et al. (2017). Which types of mental work demands may be associated with reduced risk of dementia?’ Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 13, 431–440. doi: 10.1016/j.jalz.2016.08.008CrossRefGoogle ScholarPubMed
WHO (2017). Dementia: Fact sheet. http://origin.who.int/mediacentre/factsheets/fs362/en/.Google Scholar
Zahodne, L. B. et al. (2015). Is residual memory variance a valid method for quantifying cognitive reserve? A longitudinal application. Neuropsychologia, 77, 260–266.doi: 10.1016/j.neuropsychologia.2015.09.009CrossRefGoogle ScholarPubMed
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