Archives of Sexual Behavior

, Volume 46, Issue 6, pp 1711–1721 | Cite as

Differences Between Landline and Mobile Phone Users in Sexual Behavior Research

  • Paul B. Badcock
  • Kent Patrick
  • Anthony M. A. Smith
  • Judy M. Simpson
  • Darren Pennay
  • Chris E. Rissel
  • Richard O. de Visser
  • Andrew E. Grulich
  • Juliet Richters
Original Paper

Abstract

This study investigated differences between the demographic characteristics, participation rates (i.e., agreeing to respond to questions about sexual behavior), and sexual behaviors of landline and mobile phone samples in Australia. A nationally representative sample of Australians aged 18 years and over was recruited via random digit dialing in December 2011 to collect data via computer-assisted telephone interviews. A total of 1012 people (370 men, 642 women) completed a landline interview and 1002 (524 men, 478 women) completed a mobile phone interview. Results revealed that telephone user status was significantly related to all demographic variables: gender, age, educational attainment, area of residence, country of birth, household composition, and current ongoing relationship status. In unadjusted analyses, telephone status was also associated with women’s participation rates, participants’ number of other-sex sexual partners in the previous year, and women’s lifetime sexual experience. However, after controlling for significant demographic factors, telephone status was only independently related to women’s participation rates. Post hoc analyses showed that significant, between-group differences for all other sexual behavior outcomes could be explained by demographic covariates. Results also suggested that telephone status may be associated with participation bias in research on sexual behavior. Taken together, these findings highlight the importance of sampling both landline and mobile phone users to improve the representativeness of sexual behavior data collected via telephone interviews.

Keywords

Telephone surveys Demographic factors Sexual behavior 

Notes

Acknowledgments

This work was supported by the National Health and Medical Research Council (Project Grant 1002174).

Compliance with Ethical Standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical Approval

All study procedures were in accordance with the ethical standards of the institutional research ethics committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

References

  1. Ansolabehere, S., & Schaffner, B. F. (2010). Residential mobility, family structure, and the cell-only population. Public Opinion Quarterly, 74, 244–259.CrossRefGoogle Scholar
  2. Australian Communications and Media Authority. (2010). Report 2: Take-up and use of voice services by Australian consumers. In 20092010 Communications Report Series. Melbourne: Australian Communications and Media Authority.Google Scholar
  3. Australian Communications and Media Authority. (2011). Report 2: Converging communication channels—Preferences and behaviours of Australian communications users, 2011. In 20102011 Communications Report Series. Melbourne: Australian Communications and Media Authority.Google Scholar
  4. Australian Communications and Media Authority. (2012). Communications report 2011–2012. Melbourne: Australian Communications and Media Authority.Google Scholar
  5. Bajos, N., Bozon, M., Beltzer, N., Laborde, C., Andro, A., Ferrand, M., & Leridon, H. (2010). Changes in sexual behaviours: From secular trends to public health policies. AIDS, 24, 1185–1191.CrossRefPubMedGoogle Scholar
  6. Barr, M. L., Van Ritten, J. J., Steel, D. G., & Thackway, S. V. (2012). Inclusion of mobile phone numbers into an ongoing population health survey in New South Wales, Australia: Design, methods, call outcomes, costs and sample representativeness. BMC Medical Research Methodology, 12, 177. doi:10.1186/1471-2288-12-177.CrossRefPubMedPubMedCentralGoogle Scholar
  7. Blumberg, S. J., & Luke, J. V. (2009). Reevaluating the need for concern regarding noncoverage bias in landline surveys. American Journal of Public Health, 99, 1806–1810.CrossRefPubMedPubMedCentralGoogle Scholar
  8. Blumberg, S. J., & Luke, J. V. (2010). Wireless substitution: Early release of estimates from the National Interview Survey, July–December 2009. Hyattsville, MD: National Center for Health Statistics.Google Scholar
  9. Blumberg, S. J., & Luke, J. V. (2012). Wireless substitution: Early release of estimates from the National Health Interview Survey, July–December 2011. Hyattsville, MD: National Center for Health Statistics.Google Scholar
  10. Blumberg, S. J., Luke, J. V., & Cynamon, M. L. (2006). Telephone coverage and health survey estimates: Evaluating the need for concern about wireless substitution. American Journal of Public Health, 96, 926–931.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Brick, J. M., Dipko, S., Presser, S., Tucker, C., & Yuan, Y. (2006). Nonresponse bias in a dual frame sample of cell and landline numbers. Public Opinion Quarterly, 70, 780–793.CrossRefGoogle Scholar
  12. Dal Grande, E., & Taylor, A. W. (2010). Sampling and coverage issues of telephone surveys used for collecting health information in Australia: Results from a face-to-face survey from 1999 to 2008. BMC Medical Research Methodology, 10, 77. doi:10.1186/1471-2288-10-77.CrossRefPubMedGoogle Scholar
  13. Dillman, D. A. (2002). Navigating the rapids of change: Some observations on survey methodology in the early twenty-first century. Public Opinion Quarterly, 66, 473–494.CrossRefGoogle Scholar
  14. Dubois-Arber, F., Jeannin, A., Konings, E., & Paccaud, F. (1997). Increased condom use without other major changes in sexual behavior among the general population in Switzerland. American Journal of Public Health, 87, 558–566.CrossRefPubMedPubMedCentralGoogle Scholar
  15. Dunne, M. P., Martin, N. G., Bailey, J. M., Heath, A. C., Bucholz, K. K., Madden, P., & Statham, D. J. (1997). Participation bias in a sexuality survey: Psychological and behavioural characteristics of responders and non-responders. International Journal of Epidemiology, 26, 844–854.CrossRefPubMedGoogle Scholar
  16. Dutwin, D., Keeter, S., & Kennedy, C. (2010). Bias from wireless substitution in surveys of Hispanics. Hispanic Journal of Behavioral Sciences, 32, 309–328.CrossRefGoogle Scholar
  17. Holborn, A. T., Reavley, N. J., & Jorm, A. F. (2012). Differences between landline and mobile-only respondents in a dual-frame mental health literacy survey. Australian and New Zealand Journal of Public Health, 36, 192–193.CrossRefPubMedGoogle Scholar
  18. Keeter, S., Kennedy, C., Clark, A., Tompson, T., & Mokrzycki, M. (2007). What’s missing from national landline RDD surveys? The impact of the growing cell-only population. Public Opinion Quarterly, 71, 722–792.CrossRefGoogle Scholar
  19. Kempf, A. M., & Remington, P. L. (2007). New challenges for telephone survey research in the twenty-first century. Annual Review of Public Health, 28, 113–126.CrossRefPubMedGoogle Scholar
  20. 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.CrossRefGoogle Scholar
  21. Layte, R. D., McGee, H. P., Quail, A., Rundle, K., Cousins, G., Donnelly, C. D., et al. (2006). The Irish study of sexual health and relationships: Main report. Dublin: Crisis Pregnancy Agency, and Department of Health and Children.CrossRefGoogle Scholar
  22. Lee, S., Brick, J. M., Brown, E. R., & Grant, D. (2010). Growing cell phone population and noncoverage bias in traditional random digit dial telephone health surveys. Health Services Research, 45, 1121–1139.CrossRefPubMedPubMedCentralGoogle Scholar
  23. Link, M. W., Battaglia, M. P., Frankel, M. R., Osborn, L., & Mokdad, A. H. (2007). Reaching the US cell phone generation. Public Opinion Quarterly, 71, 814–839.CrossRefGoogle Scholar
  24. Liu, B., Brotherton, J. M. L., Shellard, D., Donovan, B., Saville, M., & Kaldor, J. M. (2011). Mobile phones are a viable option for surveying young Australian women: A comparison of two telephone survey methods. BMC Medical Research Methodology, 11, 159. doi:10.1186/1471-2288-11-159.CrossRefPubMedPubMedCentralGoogle Scholar
  25. McBride, O., Morgan, K., & Hannah, M. (2012). Recruitment using mobile telephones in an Irish general population sexual health survey: Challenges and practical solutions. BMC Medical Research Methodology, 12, 45. doi:10.1186/1471-2288-12-45.CrossRefPubMedPubMedCentralGoogle Scholar
  26. Newman, L. (2011). Telephone survey methods: Implications of the increasing mobile-only population for public health research. Australian and New Zealand Journal of Public Health, 35, 491–492.CrossRefPubMedGoogle Scholar
  27. Paul, C., Dickson, N., Davis, P. B., Yee, R. L., Chetwynd, J., & McMillan, N. (1995). Heterosexual behaviour and HIV risk in New Zealand: Data from a national survey. Australian Journal of Public Health, 19, 13–18.CrossRefPubMedGoogle Scholar
  28. Pennay, D. W. (2010). Profiling the ‘mobile phone only’ population: Results from a dual-frame telephone survey using a landline and mobile phone sample frame. Melbourne: Social Research Centre.Google Scholar
  29. Pennay, D. W. (2012). Social research centre dual-frame omnibus survey: Technical and methodological report. Melbourne: Social Research Centre.Google Scholar
  30. Rissel, C., Bauman, A., Lesjak, M., & McLellan, L. (2000). A 1994 population survey of the number of sexual partners over a 12 month period in New South Wales, Australia. Venereology, 13, 111–117.Google Scholar
  31. Salmon, C. T., & Nichols, J. S. (1983). The next-birthday method of respondent selection. Public Opinion Quarterly, 47, 270–276.CrossRefGoogle Scholar
  32. Smith, A. M. A., Pitts, M. K., Shelley, J. M., Richters, J., & Ferris, J. (2007). The Australian Longitudinal Study of Health and Relationships. BMC Public Health, 7, 139. doi:10.1186/1471-2458-7-139.CrossRefPubMedPubMedCentralGoogle Scholar
  33. Smith, A. M. A., Rissel, C. E., Richters, J., Grulich, A. E., & de Visser, R. O. (2003). Sex in Australia: The rationale and methods of the Australian Study of Health and Relationships. Australian and New Zealand Journal of Public Health, 27, 106–117.CrossRefPubMedGoogle Scholar
  34. Spira, A., Bajos, N., Béjin, A., & Beltzer, N. (1992). AIDS and sexual behaviour in France. Nature, 360, 407–413.CrossRefGoogle Scholar
  35. Uitenbroek, D. G., & McQueen, D. V. (1992). Changing patterns in reported sexual practices in the population: Multiple partners and condom use. AIDS, 6, 587–592.CrossRefPubMedGoogle Scholar
  36. Vicente, P., & Reis, E. (2009). The mobile-only population in Portugal and its impact in a dual frame telephone survey. Survey Research Methods, 3, 105–111.Google Scholar
  37. Voigt, L. F., Schwartz, S. M., Doody, D. R., Lee, S. C., & Li, C. I. (2011). Feasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies. American Journal of Epidemiology, 173, 118–126.CrossRefPubMedGoogle Scholar
  38. Wellings, K., Collumbien, M., Slaymaker, E., Singh, S., Hodges, Z., Patel, D., & Bajos, N. (2006). Sexual behaviour in context: A global perspective. Lancet, 368, 1706–1728.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Paul B. Badcock
    • 1
    • 2
    • 3
  • Kent Patrick
    • 1
    • 4
  • Anthony M. A. Smith
    • 1
  • Judy M. Simpson
    • 5
  • Darren Pennay
    • 6
  • Chris E. Rissel
    • 5
  • Richard O. de Visser
    • 7
  • Andrew E. Grulich
    • 8
  • Juliet Richters
    • 9
  1. 1.Australian Research Centre in Sex, Health and SocietyLa Trobe UniversityMelbourneAustralia
  2. 2.Centre for Youth Mental HealthUniversity of MelbourneMelbourneAustralia
  3. 3.Orygen, The National Centre of Excellence in Youth Mental HealthMelbourneAustralia
  4. 4.Centre for Positive Psychology, Melbourne Graduate School of EducationUniversity of MelbourneMelbourneAustralia
  5. 5.School of Public HealthUniversity of SydneySydneyAustralia
  6. 6.Social Research CentreMelbourneAustralia
  7. 7.School of PsychologyUniversity of SussexSussexUK
  8. 8.Kirby InstituteUniversity of New South WalesSydneyAustralia
  9. 9.School of Public Health and Community MedicineUniversity of New South WalesSydneyAustralia

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