Associations Between Hearing and Cognitive Abilities From Childhood to Middle Age: The National Child Development Study 1958

Acock, A. C. (2014). A gentle introduction to stata. College station (4th ed.). Stata Press.
Google Scholar Akeroyd, M. A., Browning, G. G., Davis, A. C., Haggard, M. P. (2019). Hearing in adults: A digital reprint of the main report from the MRC national study of hearing. Trends in Hearing, 23, 1–8. https://doi.org/10.1177/2331216519887614
Google Scholar | SAGE Journals Arlinger, S., Lunner, T., Lyxell, B., Kathleen Pichora-Fuller, M. (2009). The emergence of cognitive hearing science. Scandinavian Journal of Psychology, 50(5), 371–384. https://doi.org/10.1111/j.1467-9450.2009.00753.x
Google Scholar | Crossref | Medline | ISI Atherton, K., Fuller, E., Shepherd, P., Strachan, D. P., Power, C. (2008). Loss and representativeness in a biomedical survey at age 45 years: 1958 British birth cohort. Journal of Epidemiology & Community Health, 62(3), 216–223. https://doi.org/10.1136/jech.2006.058966
Google Scholar | Crossref | Medline Baltes, P. B., Lindenberger, U. (1997). Emergence of a powerful connection between sensory and cognitive functions across the adult life span: A new window to the study of cognitive aging? Psychology and Aging, 12(1), 12. https://doi.org/10.1037/0882-7974.12.1.12
Google Scholar | Crossref | Medline | ISI Batty, G. D., Deary, I. J., Macintyre, S. (2007). Childhood IQ in relation to risk factors for premature mortality in middle-aged persons: The Aberdeen children of the 1950s study. Journal of Epidemiology & Community Health, 61(3), 241–247. https://doi.org/10.1136/jech.2006.048215
Google Scholar | Crossref | Medline Benjamini, Y., Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Google Scholar | Crossref Bhamra, S., Gatenby, R., Hacker, E., Killpack, C., Larkin, C., Lessof, C. (2010). Technical report of the national child development study: 2008–2009 survey. 1958 National Child Development Study, Retrieved from http://doc.ukdataservice.ac.uk/doc/6137/mrdoc/pdf/ncds_2008_technical_report.pdf.
Google Scholar Bountziouka, V., Cumberland, P. M., Rahi, J. S. (2017). Trends in visual health inequalities in childhood through associations of visual function with sex and social position across 3 UK birth cohorts. JAMA Ophthalmology, 135(9), 954–961. https://doi.org/10.1001/jamaophthalmol.2017.2812
Google Scholar | Crossref | Medline Brown, M., Dodgeon, B. (2010). NCDS Cognitive assessments at Age 50: Initial results. In Centre for longitudinal studies, institute of education, university of London: London. [report]. Centre for Longitudinal Studies, Institute of Education, University of London. Retrieved from Centre for Longitudinal Studies, Institute of Education, University of London website: https://discovery.ucl.ac.uk/id/eprint/10001204/.
Google Scholar Brown, M., Goodman, A. (2014). National child development study (or 1958 birth cohort). Open Health Data, 2(1), p.e5. https://doi.org/10.5334/ohd.ak
Google Scholar | Crossref Cangur, S., Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 14. https://doi.org/10.22237/jmasm/1430453580
Google Scholar | Crossref Ceci, S. J. (1990). On the relation between microlevel processing efficiency and macrolevel measures of intelligence: Some arguments against current reductionism. Intelligence 14(2), 141–150. https://doi.org/10.1016/0160-2896(90)90001-A
Google Scholar | Crossref Christensen, H., Mackinnon, A. J., Korten, A., Jorm, A. F. (2001). The “common cause hypothesis” of cognitive aging: Evidence for not only a common factor but also specific associations of age with vision and grip strength in a cross-sectional analysis. Psychology and Aging, 16(4), 588. https://doi.org/10.1037/0882-7974.16.4.588
Google Scholar | Crossref | Medline Clouston, S. A., Kuh, D., Herd, P., Elliott, J., Richards, M., Hofer, S. M. (2012). Benefits of educational attainment on adult fluid cognition: International evidence from three birth cohorts. International Journal of Epidemiology, 41(6), 1729–1736. https://doi.org/10.1093/ije/dys148
Google Scholar | Crossref | Medline | ISI Conway, C. M., Pisoni, D. B., Kronenberger, W. G. (2009). The importance of sound for cognitive sequencing abilities: The auditory scaffolding hypothesis. Current Directions in Psychological Science, 18(5), 275–279. https://doi.org/10.1111/j.1467-8721.2009.01651.x
Google Scholar | SAGE Journals | ISI Davis, A. C. (1995). Hearing in adults. Whurr.
Google Scholar Davis, A. C., Ostri, B., Parving, A. (1991). Longitudinal study of hearing. Acta Oto-Laryngologica, 111(sup476), 12–22. https://doi.org/10.3109/00016489109127251
Google Scholar | Crossref Deary, I. J. (1994a). Intelligence and auditory discrimination: Separating processing speed and fidelity of stimulus representation. Intelligence, 18(2), 189–213. https://doi.org/10.1016/0160-2896(94)90027-2
Google Scholar | Crossref Deary, I. J. (1994b). Sensory discrimination and intelligence: Postmortem or resurrection? The American Journal of Psychology, 107(1), 95–115. https://doi.org/10.2307/1423292
Google Scholar | Crossref | Medline Deary, I. J. (1995). Auditory inspection time and intelligence: What is the direction of causation? Developmental Psychology, 31(2), 237. https://doi.org/10.1037/0012-1649.31.2.237
Google Scholar | Crossref Deary, I. J. (2020). Intelligence: A very short introduction. Oxford University Press. https://doi.org/0.1093/actrade/9780192893215.001.0001
Google Scholar | Crossref Deary, I. J., Bell, P. J., Bell, A. J., Campbell, M. L., Fazal, N. D. (2004). Sensory discrimination and intelligence: Testing Spearman's Other hypothesis. The American Journal of Psychology 117(1), 1–18. https://doi-org/10.2307/1423593
Google Scholar | Crossref | Medline Deary, I. J., Caryl, P. G., Egan, V., Wight, D. (1989a). Visual and auditory inspection time: Their interrelationship and correlations with IQ in high ability subjects. Personality and Individual Differences, 10(5), 525–533. https://doi.org/10.1016/0191-8869(89)90034-2
Google Scholar | Crossref Deary, I. J., Head, B., Egan, V. (1989b). Auditory inspection time, intelligence and pitch discrimination. Intelligence, 13(2), 135–147. https://doi.org/10.1016/0160-2896(89)90012-3
Google Scholar | Crossref Deary, I. J., Whalley, L. J., Lemmon, H., Crawford, J. R., Starr, J. M. (2000). The stability of individual differences in mental ability from childhood to old age: Follow-up of the 1932 scottish mental survey. Intelligence, 28(1), 49–55. https://doi.org/10.1016/S0160-2896(99)00031-8
Google Scholar | Crossref | ISI Douglas, J. W. B. (1964). The home and the school: The study of ability and attainment in the primary school. MacGibbon & Kee.
Google Scholar Dupuis, K., Pichora-Fuller, M. K., Chasteen, A. L., Marchuk, V., Singh, G., Smith, S. L. (2015). Effects of hearing and vision impairments on the Montreal cognitive assessment. Aging, Neuropsychology, and Cognition, 22(4), 413–437. https://doi.org/10.1080/13825585.2014.968084
Google Scholar | Crossref | Medline Ecob, R. (2008). Optimal modelling of hearing impairment in middle age in relation to hearing in childhood as measured by audiograms. Centre for Longitudinal Studies, Institute of Education, University of London. Retrieved from https://discovery.ucl.ac.uk/id/eprint/10005941.
Google Scholar Ecob, R., Russ, S., Davis, A. (2011). BMI Over the lifecourse and hearing ability at age 45 years: A population based study. Longitudinal and Life Course Studies, 2(3), 242–259. https://doi.org/10.14301/llcs.v2i3.138
Google Scholar Elliot, J., Vaitilingam, R. (2008). Now We Are 50: Key findings from the national child development study. The Centre for Longitudinal Studies. Retrieved from https://discovery.ucl.ac.uk/id/eprint/1538290/1/Nowweare50.pdf
Google Scholar Elyashiv, S. M., Shabtai, E. L., Belkin, M. (2014). Correlation between visual acuity and cognitive functions. British Journal of Ophthalmology, 98(1), 129–132. https://doi.org/10.1136/bjophthalmol-2013-304149
Google Scholar | Crossref | Medline Fitzpatrick, E. (2015). Neurocognitive development in congenitally deaf children. In Handbook of clinical neurology (Vol. 129, pp. 335–356). Elsevier. https://doi.org/10.1016/B978-0-444-62630-1.00019-6
Google Scholar Fogelman, K. (1983). Growing up in Great Britain – papers from the national child development study. Macmillan for National Children's Bureau.
Google Scholar | Crossref Fortnum, H. M., Marshall, D. H., Summerfield, A. Q. (2002). Epidemiology of the UK population of hearing-impaired children, including characteristics of those with and without cochlear implants—audiology, aetiology, comorbidity and affluence. International Journal of Audiology, 41(3), 170–179. https://doi.org/10.3109/14992020209077181
Google Scholar | Crossref | Medline Fowler, P. D., Jones, N. S. (1999). REVIEW Diabetes and hearing loss. Clinical Otolaryngology, 24(1), 3–8. https://doi.org/10.1046/j.1365-2273.1999.00212.x
Google Scholar | Crossref | Medline Gallacher, J., Ilubaera, V., Ben-Shlomo, Y., Bayer, A., Fish, M., Babisch, W., Elwood, P. (2012). Auditory threshold, phonologic demand, and incident dementia. Neurology, 79(15), 1583–1590. https://doi.org/10.1212/WNL.0b013e31826e263d
Google Scholar | Crossref | Medline | ISI Galton, F. (1883). Inquiries into human faculty and its development. Macmillan.
Google Scholar | Crossref Gates, G. A., Cobb, J. L., D’Agostino, R. B., Wolf, P. A. (1993). The relation of hearing in the elderly to the presence of cardiovascular disease and cardiovascular risk factors. Archives of Otolaryngology Head and Neck Surgery, 119(2), 156–156. https://doi.org/10.1001/archotol.1993.01880140038006
Google Scholar | Crossref | Medline Ghisletta, P., Rabbitt, P., Lunn, M., Lindenberger, U. (2012). Two thirds of the age-based changes in fluid and crystallized intelligence, perceptual speed, and memory in adulthood are shared. Intelligence, 40(3), 260–268. https://doi.org/10.1016/j.intell.2012.02.008
Google Scholar | Crossref Gopinath, B., Flood, V. M., McMahon, C. M., Burlutsky, G., Smith, W., Mitchell, P. (2010). The effects of smoking and alcohol consumption on age-related hearing loss: The blue mountains hearing study. Ear and Hearing, 31(2), 277–282. https://doi.org/10.1097/AUD.0b013e3181c8e902
Google Scholar | Crossref | Medline Gow, A. J., Johnson, W., Pattie, A., Brett, C. E., Roberts, B., Starr, J. M., Deary, I. J. (2011). Stability and change in intelligence from age 11 to ages 70, 79, and 87: The lothian birth cohorts of 1921 and 1936. Psychology and Aging, 26(1), 232. https://doi.org/10.1037/a0021072
Google Scholar | Crossref | Medline Hallquist, M. N., Wiley, J. F. (2018). Mplusautomation: An R package for facilitating large-scale latent variable analyses in M plus. Structural Equation Modeling: A Multidisciplinary Journal, 25(4), 621–638. https://doi.org/10.1080/10705511.2017.1402334
Google Scholar | Crossref | Medline Heinzen, E., Sinnwell, J., Atkinson, E., Gunderson, T., Dougherty, G. (2019). arsenal: An Arsenal of “R” Functions for Large-Scale Statistical Summaries. Retrieved from https://CRAN.R-project.org/package = arsenal.
Google Scholar Helmbold, N., Troche, S., Rammsayer, T. (2006). Temporal information processing and pitch discrimination as predictors of general intelligence. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 60(4), 294. https://doi-org/10.1037/cjep2006027
Google Scholar | Crossref | Medline Humes, L. E. (2015). Age-related changes in cognitive and sensory processing: Focus on middle-aged adults. American Journal of Audiology, 24(2), 94–97. https://doi.org/10.1044/2015_AJA-14-0063
Google Scholar | Crossref | Medline Jensen, A. R. (1992). Understanding g in terms of information processing. Educational Psychology Review, 4(3), 271–308. https://doi.org/10.1007/BF01417874
Google Scholar | Crossref Kearney, M. W. (2017). Cross lagged panel analysis. In M.R. Allen (Ed.), The SAGE encyclopedia of communication research methods (pp. 313–314). Thousand Oaks, CA: SAGE Publications Ltd. https://dx.doi.org/10.4135/9781483381411
Google Scholar Kral, A., Kronenberger, W. G., Pisoni, D. B., O’Donoghue, G. M. (2016). Neurocognitive factors in sensory restoration of early deafness: A connectome model. The Lancet Neurology, 15(6), 610–621. https://doi.org/10.1016/S1474-4422(16)00034-X
Google Scholar | Crossref | Medline Lee, F.-S., Matthews, L. J., Dubno, J. R., Mills, J. H. (2005). Longitudinal study of pure-tone thresholds in older persons. Ear and Hearing, 26(1), 1–11. https://doi.org/10.1097/00003446-200502000-00001
Google Scholar | Crossref | Medline | ISI Lie, A., Skogstad, M., Johannessen, H. A., Tynes, T., Mehlum, I. S., Nordby, K.-C., Tambs, K. (2016). Occupational noise exposure and hearing: A systematic review. International Archives of Occupational and Environmental Health, 89(3), 351–372. https://doi.org/10.1007/s00420-015-1083-5
Google Scholar |

留言 (0)

沒有登入
gif