The heritability and genetic correlates of mobile phone use: A twin study of consumer behavior

Twin Research and Human Genetics

Volumn 15, Issue 1, 2012, Pages 97-106

  Miller, Geoffrey ^a   Zhu, Gu ^b   Wright, Margaret J ^b   Hansell, Narelle K ^b   Martin, Nicholas G ^b  

^a UNIVERSITY OF NEW MEXICO   (United States)

^b QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

behavior genetics; consumer research; intelligence; mobile phones; personality; product usage; twins

Indexed keywords

ACADEMIC ACHIEVEMENT; ADOLESCENT; ARTICLE; AUSTRALIA; BEHAVIOR GENETICS; CONSUMER ATTITUDE; FAMILY RELATION; FEMALE; GENETIC CORRELATION; HERITABILITY; HUMAN; INCOME; INTELLIGENCE; MALE; MOBILE PHONE; NEIGHBORHOOD; PARENT; PERSONALITY; PRIORITY JOURNAL; SOCIAL CLASS; TEXT MESSAGING; TWINS; VOICE CALL; WIRELESS COMMUNICATION; DIZYGOTIC TWINS; GENETICS; MONOZYGOTIC TWINS; QUESTIONNAIRE; SOCIAL ENVIRONMENT;

ADOLESCENT; AUSTRALIA; CELLULAR PHONE; FEMALE; GENETICS, BEHAVIORAL; HUMANS; MALE; PERSONALITY; QUESTIONNAIRES; SOCIAL ENVIRONMENT; TWINS, DIZYGOTIC; TWINS, MONOZYGOTIC;

EID: 84865589916     PISSN: 18324274     EISSN: None     Source Type: Journal    
DOI: 10.1375/twin.15.1.97     Document Type: Article

References (85)

1. Ahlbom, A., Green, A., Kheifets, L., Savitz, D., & Swerdlow, A. (2004). Epidemiology of health effects of radiofrequency exposure. Environmental Health Perspectives, 112, 1741-1754.
2. Anolli, L., Villani, D., & Riva, G. (2005). Personality of people using Chat: An on-line research. Cyberpsychology and Behavior, 8, 89-95.
3. Arden, R., Gottfredson, L. S., & Miller, G. F. (2009). Does a fitness factor contribute to the association between intelligence and health outcomes? Evidence from Medical Abnormality Counts among 3654 US Veterans. Intelligence, 37, 581-591.
4. Arnold, S. J., Burger, R., Hohenlohe, P. A., Ajie, B. C., & Jones, A. G. (2008). Understanding the evolution and stability of the G-matrix. Evolution, 62, 2451-2461.
5. Arns, M., Van Luijtelaar, G., Sumich, A., Hamilton, R., & Gordon, E. (2007). Electroencephalographic, personality, and executive function measures associated with frequent mobile phone use. International Journal of Neuroscience, 117, 1341-1360.
6. Baker, L. A., Treloar, S. A., Reynolds, C. A., Heath, A. C., & Martin, N. G. (1996). Genetics of educational attainment in Australian twins: Sex differences and secular changes. Behavior Genetics, 26, 89-102.
7. Bartels, M., Saviouk, V., de Moor, M. H. M., Willemsen, G., van Beijsterveldt, T. C. E. M., Hottenga, J. J., de Geus, E. J. C., & Boomsma, D. I. (2010). Heritability and genome-wide linkage scan of subjective happiness. Twin Research and Human Genetics, 13, 135-142.
8. Batty, G. D., Deary, I. J., & Gottfredson, L. S. (2007). Premorbid (early life) IQ and later mortality risk: Systematic review. Annals of Epidemiology, 17, 278-288.
9. Björklund, A., Lindahl, M., & Plug, E. (2006). The origins of intergenerational associations: Lessons from Swedish adoption data. Quarterly Journal of Economics, 121, 999-1028.
10. Bouchard, T. J., & McGue, M. (2003). Genetic and environmental influences on human psychological differences. Journal of Neurobiology, 54, 4-45.
11. Bouchard, T. J., & Loehlin, J. C. (2001). Genes, evolution, and personality. Behavior Genetics, 31, 243-273.
12. Bowles, S., & Gintis, H. (2002). The inheritance of inequality. Journal of Economic Perspectives, 16, 3-30.
13. Butt, S., & Phillips, J. G. (2008). Personality and self reported mobile phone use. Computers in Human Behavior, 24, 346- 360.
14. Button, T. M. M., Stallings, M. C., Rhee, S. H., Corley, R. P., & Hewitt, J. K. (2011). The etiology of stability and change in religious values and religious attendance. Behavior Genetics, 41, 201-210.
15. Caird, J. K., Willness, C. R., Steel, P., & Scialfa, C. (2008). A meta-analysis of the effects of cell phones on driver performance. Accident Analysis and Prevention, 40, 1282-1293.
16. Chamorro-Premuzic, T., Reimers, S., Hsu, A., et al. (2009). Who are thou? Personality predictors of artistic preferences in a large UK sample: The importance of openness. British Journal of Psychology, 100, 501-516.
17. China Mobile (2011). Operation Data: Customer Numbers. Retrieved from http://www.chinamobileltd.com /ir.php?menu=11
18. Clark, G., & Hamilton, G. (2006). Survival of the richest: The Malthusian mechanism in pre-industrial England. Journal of Economic History, 66, 707-736.
19. Costa, P. T., & McCrae, R. R. (1992). Professional manual: Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor-Inventory (NEO-FFI). Odessa, FL: Psychological Assessment Resources.
20. Daly, A. K. (2010). Genome-wide association studies in pharmacogenomics. Nature Reviews Genetics, 11, 241-246.
21. Deary, I. J., Spinath, F. M., & Bates, T. C. (2006). Genetics of intelligence. European Journal of Human Genetics, 14, 690- 700.
22. Derks, E. M., Dolan, C. V., & Boomsma, D. I. (2006). A test of the equal environments assumption (EEA) in multivariate twin studies. Twin Research and Human Genetics, 9, 403-411.
23. Ehrenberg, A., Juckes, S., White, K. M., et al. (2008). Personality and self-esteem as predictors of young people's technology use. Cyberpsychology and Behavior, 11, 739-741.
24. Eysenck, H. J., & Eysenck, S. B. G. (1975). Manual for the Eysenck Personality Questionnaire (adult and junior). San Diego, CA: Digits.
25. Finn, S. (1997). Origins of media exposure - Linking personality traits to TV, radio, print, and film use. Communication Research, 24, 507-529.
26. Fowler, J. H., Dawes, C. T., & Christakis, N. A. (2009). Model of genetic variation in human social networks. Proceedings of the National Academy of Sciences of the USA, 106, 1720- 1724.
27. Fowler, J. H., & Schreiber, D. (2008). Biology, politics, and the emerging science of human nature. Science, 332, 912-914.
28. Freeman, H. D., & Gosling, S. D. (2010). Personality in nonhuman primates: A review and evaluation of past research. American Journal of Primatology, 72, 653-671.
29. Freese, J., & Shostak, S. (2009). Genetics and social inquiry. Annual Review of Sociology, 35, 107-128.
30. Friend, A., DeFries, J. C., Olson, R. K., Pennington, B., Harlaar, N., Byrne, B., Samuelsson, S., Willcutt, E. G., Wadsworth, S. J., Corley, R., & Keenan, J. M. (2009). Heritability of high reading ability and its interaction with parental education. Behavior Genetics, 39, 427-436.
31. Gonzalez, M. C., Hidalgo, C. A., & Barabasi, A. L. (2008). Understanding individual human mobility patterns. Nature, 453, 779-782.
32. Hardell, L., Carlberg, M., Soderqvist, F., & Mild, K. H. (2008). Meta-analysis of long-term mobile phone use and the association with brain tumours. International Journal of Oncology, 32, 1097-1103.
33. Harlaar, N., Dale, P. S., & Plomin, R. (2007). From learning to read to reading to learn: Substantial and stable genetic influences. Child Development, 78, 116-131.
34. Hatemi, P. K., Hibbing, J. R., Medland, S. E., Keller, M. C., Alford, J. R., Smith, K. B., Martin, N. G., & Eaves, L. J. (2010). Not by twins alone: Using the extended family design to investigate genetic influence on political beliefs. American Journal of Political Science, 54, 798-814.
35. Hertel, G., Schroer, J., Batinic, B., et al. (2008). Do shy people prefer to send E-Mail? Personality effects on communication media preferences in threatening and non-threatening situations. Social Psychology, 39, 231-243.
36. Horrey, W. J., & Wickens, C. D. (2006). Examining the impact of cell phone conversations on driving using meta-analytic techniques. Human Factors, 48, 196-205.
37. International Telecommunications Union. (2011). The world in 2010: Information and communication technology (ICT) facts and figures. Retrieved from http://www.itu.int/ITUD/ict/material/FactsFigures2010.pdf
38. Inyang, I., Benke, G., Dimitriadis, C., Simpson, P., McKenzie, R., & Abramson, M. (2010). Predictors of mobile telephone use and exposure analysis in Australian adolescents. Journal of Paediatrics and Child Health, 46, 226-233.
39. Inyang, I., Benke, G., Morrissey, J., McKenzie, R., & Abramson, M. (2009). How well do adolescents recall use of mobile telephones? Results of a validation study. BMC Medical Research Methodology, 9, 36.
40. Jackson, D. N. (1998). Multidimensional Aptitude Battery II. Port Huron, MI: Sigma Assessment Systems.
41. Jeng, S. P., & Teng, C. I. (2008). Personality and motivations for playing online games, Social Behavior and Personality. 36, 1053-1059.
42. Keller, M., & Miller, G. F. (2006). Which evolutionary genetic models best explain the persistence of common, harmful, heritable mental disorders? Behavioral and Brain Sciences, 29, 385-404.
43. Kelly, J. K. (2009). Connecting QTLs to the G-matrix of evolutionary quantitative genetics. Evolution, 63, 813-825.
44. Khurana, V. G., Teo, C., Kundi, M., Hardell, L., & Carlberg, M. (2009). Cell phones and brain tumors: A review including the long-term epidemiologic data. Surgical Neurology, 72, 205-214.
45. Kingston, D. A., Malamuth, N. M., Fedoroff, P., et al. (2009). The importance of individual differences in pornography use: Theoretical perspectives and implications for treating sexual offenders. Journal of Sex Research, 46, 216-232.
46. Kraaykamp, G., & van Eijck, K. (2005). Personality, media preferences, and cultural participation. Personality and Individual Differences, 38, 1675-1688.
47. Krcmar, M., & Kean, L. G. (2005). Uses and gratifications of media violence: Personality correlates of viewing and liking violent genres. Media Psychology, 7, 399-420.
48. Lambiotte, R., Blondel, V. D., de Kerchove, C., et al. (2008). Geographical dispersal of mobile communication networks. Physica a-Statistical Mechanics and Its Applications, 387, 5317-5325.
49. Landers, R. N., & Lounsbury, J. W. (2006). An investigation of Big Five and narrow personality traits in relation to Internet usage. Computers in Human Behavior, 22, 283-293.
50. Lavrakas, P. J., Shuttles, C. D., Steeh, C., & Fienberg, H. (2007). The state of surveying cell phone numbers in the United States - 2007 and beyond. Public Opinion Quarterly, 71, 840-854.
51. Le, A. T., Miller, P. W., Slutske, W. S., & Martin, N. G. (2010). Are attitudes towards economic risk heritable? Analyses using the Australian twin study of gambling. Twin Research and Human Genetics, 13, 330-339.
52. Loehlin, J. C. (2011). Genetic and environmental structure of personality: A cluster-analysis approach. Personality and Individual Differences, 51, 662-666.
53. Liu, H., & Zeng, J. (2009). Genetic ability and intergenerational earnings mobility. Journal of Population Economics, 22, 75-95.
54. Lubinski, D. (2004). Introduction to the special issue on cognitive abilities: 100 years after Spearman's 'general intelligence,' objectively determined and measured. Journal of Personality and Social Psychology, 86, 96-111.
55. McManus, I. C., & Furnham, A. (2006). Aesthetics activities and aesthetic attitudes: Influences on education, background and personality on interest and involvement in the arts. British Journal of Psychology, 97, 555-587.
56. Martin, N. W., Hansell, N. K., Wainwright, M. A., Shekar, S. N., Medland, S. E., Bates, T. C., Burt, J. S., Martin, N. G., & Wright, M. J. (2009). Genetic covariation between the author recognition test and reading and verbal abilities: What can we learn from the analysis of high performance? Behavior Genetics, 39, 417-426.
57. Miller, G. F. (2009). Spent: Sex, evolution, and consumer behavior. New York: Viking.
58. Neale, M. C., Boker, S. M., Xie, G., & Maes, H. E. (1999). Mx: Statistical modeling (5th ed.). Richmond, VA: Department of Psychiatry, Virginia Commonwealth University.
59. Neale, M. C., & Cardon, L. R. (1992). Methodology for genetic studies of twins and families. Dordrecht, Netherlands: Kluwer Academic Publishers.
60. Nyholt, D. R. (2006). On the probability of dizygotic twins being concordant for two alleles at multiple polymorphic loci. Twin Research and Human Genetics, 9, 194-197.
61. Onnela, J. P., Saramaki, J., Hyvonen, J., et al. (2007). Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences of the United States of America, 104, 7332-7336.
62. Ozer, D. J., & Benet-Martinez, V. (2006). Personality and the prediction of consequential outcomes. Annual Review of Psychology, 57, 401-421.
63. Palla, G., Barabasi, A. L., & Tamas, V. (2007). Quantifying social group evolution. Nature, 446, 664-667.
64. Penke, L., Denissen, J. P., & Miller, G. F. (2007). The evolutionary genetics of personality. European Journal of Personality, 21, 549-587.
65. Persegani, C., Russo, P., Carucci, C., et al. (2002). Television viewing and personality structure in children. Personality and Individual Differences, 32, 977-990.
66. Plomin, R., Corley, R., Defries, J. C., & Fulker, D. W. (1990). Individual differences in television viewing in early childhood: Nature as well as nurture. Psychological Science, 1, 371-377.
67. Plomin, R., Defries, J. C., McClearn, G. E., & McGuffin, P. (2008). Behavioral Genetics (5th ed.). New York: Worth Publishers.
68. Portio Research (2011). Mobile factbook 2011. Retrieved from http://www.portioresearch.com/Portio%20Research%20Lt d%20Mobile%20Factbook%202011.pdf
69. Redelmeier, D. A., & Tibshirani, R. J. (1997). Association between cellular-telephone calls and motor vehicle collisions. New England Journal of Medicine, 336, 453-458.
70. Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in Human Behavior, 25, 578-586.
71. Rowe, D. C., & Herstand, S. E. (1986). Familial influences on television viewing and aggression: A sibling study. Aggressive Behavior, 12, 111-120.
72. Sherry, J. L. (2001). Toward an etiology of media use motivations: The role of temperament in media use. Communication Monographs, 68, 274-288.
73. Shim, J. W., & Bryant, P. (2007). Effects of personality types on the use of television genre. Journal of Broadcasting & Electronic Media, 51, 287-304.
74. Silventoinen, K. (2003). Determinants of variation in adult body height. Journal of Biosocial Science, 35, 263-285.
75. Simonson, I., & Sela, A. (2011). On the heritability of consumer decision making: An exploratory approach for studying genetic effects on judgment and choice. Journal of Consumer Research, 37, 951-966.
76. Strayer, D. L., Drews, F. A., & Crouch, D. J. (2006). A comparison of the cell phone driver and the drunk driver. Human Factors, 48, 381-391.
77. Timotijevic, L., Barnett, J., Shepherd, R., & Senior, V. (2009). Factors influencing self-report of mobile phone use: The role of response prompt, time reference and mobile phone use in recall. Applied Cognitive Psychology, 23, 664-683.
78. Vijayalaxmi, & Prihoda, T. J. (2008). Genetic damage in mammalian somatic cells exposed to radiofrequency radiation: A meta-analysis of data from 63 publications (1990-2005). Radiation Research, 169, 561-574.
79. Valentini, E., Curcio, G., Moroni, F., et al. (2007). Neurophysiological effects of mobile phone electromagnetic fields on humans: A comprehensive review. Bioelectromagnetics, 28, 415-432.
80. Vrijheid, M., Cardis, E., Armstrong, B. K., et al. (2006). Validation of short term recall of mobile phone use for the Interphone study. Occupational and Environmental Medicine, 63, 237-243.
81. Vrijheid, M., Armstrong, B. K., Bedard, D., Brown, J., Deltour, I., Iavarone, I., Krewski, D., Lagorio, S., Moore, S., Richardson, L., Giles, G. G., McBride, M., Parent, M. E., Siemiatycki, J., & Cardis, E. (2009). Recall bias in the assessment of exposure to mobile phones. Journal of Exposure Science and Environmental Epidemiology, 19, 369-381.
82. Whitley, E., Batty, G. D., Gale, C. R., Deary, I. J., Tynelius, P., & Rasmussen, F. (2010). Intelligence in early adulthood and subsequent risk of unintentional injury over two decades: A cohort study of 1,109,475 Swedish men. Journal of Epidemiology and Community Health, 64, 419-425.
83. Wright, M. J., & Martin, N. G. (2004). Brisbane adolescent twin study: Outline of study methods and research projects. Australian Journal of Psychology, 56, 65-78.
84. Zhu, G., Montgomery, G. W., James, M. R., Trent, J. T., Hayward, N. K., Martin, N. G., & Duffy, D. D. (2007). A genome-wide scan for naevus count: Linkage to CDKN2A and to other chromosomal regions. European Journal of Human Genetics, 15, 94-102.
85. Zietsch, B. P., Miller, G. F., Bailey, J. M., & Martin, N. G. (2011). Female orgasm rates are largely independent of other traits: Implications for function and dysfunction. Journal of Sexual Medicine, 8, 2305-2316.