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Articles

Gambling on Electronic Gaming Machines in Germany: An Age-Period-Cohort Analysis

Pages 439-459 | Received 13 May 2017, Accepted 27 Mar 2018, Published online: 07 May 2018

References

  • Abbott, M. W. (2006). Do EGMs and problem gambling go together like a horse and carriage? Gambling Research, 18, 7–38.
  • Abbott, M. W. (2007). Situational factors that affect gambling behavior. In G. Smith, D. C. Hodgins, & R. J. Williams (Eds.), Research and measurement issues in gambling studies (pp. 251–278). London: Elsevier.
  • Abbott, M. (2017). Gambling and gambling harm in New Zealand: A 28-year case study. International Journal of Mental Health and Addiction, 15, 1221–1241. doi:10.1007/s11469-017-9767-6.
  • Abbott, M. W., Romild, U., & Volberg, R. A. (2014). Gambling and problem gambling in Sweden: Changes between 1998 and 2009. Journal of Gambling Studies, 30, 985–999. doi:10.1007/s10899-013-9396-3.
  • Abbott, M., Stone, C. A., Billi, R., & Yeung, K. (2016). Gambling and problem gambling in Victoria, Australia: Changes over 5 years. Journal of Gambling Studies, 32, 47–78. doi:10.1007/s10899-015-9542-1.
  • Arnett, J. J. (1992). Reckless behavior in adolescence: A developmental perspective. Developmental Review, 12, 339–373. doi:10.1016/0273-2297(92)90013-R.
  • Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55, 469–480. doi:10.1037/0003-066X.55.5.469.
  • Ben-Shlomo, Y. & Kuh, D. (2002). A life course approach to chronic disease epidemiology: Conceptual models, empirical challenges and interdisciplinary perspectives. International Journal of Epidemiology, 31, 285–293. doi:10.1093/ije/31.2.285.
  • Blaszczynski, A. (2013). A critical examination of the link between gaming machines and gambling-related harm. The Journal of Gambling Business and Economics, 7, 55–76. doi:10.5750/jgbe.v7i3.818.
  • Breen, R. B. & Zimmerman, M. (2002). Rapid onset of pathological gambling in machine gamblers. Journal of Gambling Studies, 18, 31–43. doi:10.1023/A:1014580112648.
  • Brown, R. I. (1989). Gaming, gambling, risk-taking, addictions and a developmental model of a pathology of man-machine relationships. In J. Klabberg, D. Croowell, H. de Jong, & W. Scheper (Eds.), Simulation gaming (pp. 368–381). Oxford: Pergamon Press.
  • Bühringer, G., Kraus, L., Sonntag, D., Pfeiffer-Gerschel, T., & Steiner, S. (2007). Pathologisches Glücksspiel in Deutschland: Spiel- und Bevölkerungsrisiken [Pathological gambling in Germany: Gambling and population based risks]. Sucht, 5, 296–307. doi:10.1024/2007.05.06.
  • Bundeszentrale für gesundheitliche Aufklärung (BZgA). (2008). Glücksspielverhalten und problematisches Glücksspielen in Deutschland 2007 [Gambling behavior and problem gambling in Germany in 2007]. Köln, Germany: Bundeszentrale für gesundheitliche Aufklärung . Retrieved from http://www.bzga.de/forschung/studien-untersuchungen/studien/gluecksspiel.
  • Bundeszentrale für gesundheitliche Aufklärung (BZgA). (2010). Glücksspielverhalten in Deutschland 2007 und 2009. Ergebnisse aus zwei repräsentativen Bevölkerungsbefragungen [Gambling behavior in Germany in 2007 and 2009: Results of two representative population surveys]. Köln, Germany: Bundeszentrale für gesundheitliche Aufklärung. Retrieved from http://www.bzga.de/forschung/studien-untersuchungen/studien/gluecksspiel
  • Bundeszentrale für gesundheitliche Aufklärung (BZgA). (2012). Glücksspielverhalten und Glücksspielsucht in Deutschland. Ergebnisse aus drei repräsentativen Bevölkerungsbefragungen 2007, 2009 und 2011 [Gambling behavior and gambling addiction in Germany. Results of three representative population surveys in 2007, 2009, and 2011]. Köln, Germany: Bundeszentrale für gesundheitliche Aufklärung. Retrieved from http://www.bzga.de/forschung/studien-untersuchungen/studien/gluecksspiel
  • Bundeszentrale für gesundheitliche Aufklärung (BZgA) (2014). Glücksspielverhalten und Glücksspielsucht in Deutschland 2013 [Gambling behavior and gambling addiction in Germany in 2013]. Köln, Germany: Bundeszentrale für gesundheitliche Aufklärung. Retrieved from http://www.bzga.de/forschung/studien-untersuchungen/studien/gluecksspiel.
  • Bundeszentrale für gesundheitliche Aufklärung (BZgA). (2016). Glücksspielverhalten und Glücksspielsucht in Deutschland. Ergebnisse des Surveys 2015 und Trends [Gambling behavior and addiction in Germany. Survey results 2015 and trend analysis]. Köln, Germany: Bundeszentrale für gesundheitliche Aufklärung. Retrieved from http://www.bzga.de/forschung/studien-untersuchungen/studien/gluecksspiel
  • Buth, S. & Stöver, H. (2008). Glücksspielteilnahme und Glücksspielprobleme in Deutschland: Ergebnisse einer bundesweiten Repräsentativbefragung [Gambling and gambling problems in Germany: Results of a national survey]. Suchttherapie, 9, 3–11. doi:10.1055/s-2008-1042440.
  • Calado, F., Alexandre, J., & Griffiths, M. D. (2016). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies, 1–28. Advance. online,. doi:10.1007/s10899-016-9627-5.
  • Chambers, R. A., Taylor, J. R., & Potenza, M. N. (2003). Developmental neurocircuitry of motivation in adolescence: A critical period of addiction vulnerability. American Journal of Psychiatry, 160, 1041–1052. doi:10.1176/appi.ajp.160.6.1041.
  • Clayton, D. & Schifflers, E. (1987). Models for temporal variation in cancer rates. II: Age–period–cohort models. Statistics in Medicine, 6, 469–481. doi:10.1002/sim.4780060406.
  • Delfabbro, P. H., King, D. L., Lambos, C., & Puglies, S. (2009). Is video-game playing a risk factor for pathological gambling in Australian adolescents? Journal of Gambling Studies, 25, 391–405. doi:10.1007/s10899-009-9138-8.
  • Dowling, N., Cowlishaw, S., Jackson, A. C., Merkouris, S. S., Francis, K. L., & Christensen, D. R. (2015). Prevalence of psychiatric co-morbidity in treatment-seeking problem gamblers: A systematic review and meta-analysis. Australian & New Zealand Journal of Psychiatry, 49, 519–539. doi:10.1177/0004867415575774.
  • Dowling, N., Smith, D., & Thomas, T. (2005). Electronic gaming machines: Are they the ‘crack-cocaine’ of gambling? Addiction, 100, 33–45. doi:10.1111/j.1360-0443.2005.00962.x.
  • Ferentzy, P. & Turner, N. (2009). Gambling and organized crime - A review of the literature. Journal of Gambling Issues, 23, 111–155. doi:10.4309/jgi.2009.23.6.
  • Fisher, S. (1993). Gambling and pathological gambling in adolescents. Journal of Gambling Studies, 9, 277–288. doi:10.1007/BF01015923.
  • Fisher, S. & Griffiths, M. (1995). Current trends in slot machine gambling: Research and policy issues. Journal of Gambling Studies, 11, 239–247. doi:10.1007/BF02104791.
  • Forrest, C. J., King, D. L., & Delfabbro, P. H. (2016). The gambling preferences and behaviors of a community sample of Australian regular video game players. Journal of Gambling Studies, 32, 409–420. doi:10.1007/s10899-015-9535-0.
  • Gainsbury, S. M., King, D. L., Russell, A. M., Delfabbro, P., & Hing, N. (2017). Virtual addictions: An examination of problematic social casino game use among at-risk gamblers. Addictive Behaviors, 64, 334–339. doi:10.1016/j.addbeh.2015.12.007.
  • Gainsbury, S. M., Russell, A. M., King, D. L., Delfabbro, P., & Hing, N. (2016). Migration from social casino games to gambling: Motivations and characteristics of gamers who gamble. Computers in Human Behavior, 63, 59–67. doi:10.1016/j.chb.2016.05.021.
  • Galbraith, S., Bowden, J., & Mander, A. (2017). Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data. Statistical Methods in Medical Research, 26, 374–398. doi:10.1177/0962280214547150.
  • Griffiths, M. (1991). Amusement machine playing in childhood and adolescence: A comparative analysis of video games and fruit machine. Journal of Adolescence, 14, 53–73. doi:10.1016/0140-1971(91)90045-S.
  • Griffiths, M. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies, 15, 265–283. doi:10.1023/A:1023053630588.
  • Griffiths, M. & Wood, R. T. (2000). Risk factors in adolescence: The case of gambling, videogame playing, and the internet. Journal of Gambling Studies, 16, 199–225. doi:10.1023/A:1009433014881.
  • Gupta, R. & Derevensky, J. L. (1996). The relationship between gambling and video-game playing behavior in children and adolescents. Journal of Gambling Studies, 12, 375–394. doi:10.1007/BF01539183.
  • Holford, T. R. (1991). Understanding the effects of age, period, and cohort on incidence and mortality rates. Annual Review of Public Health, 12, 425–457. doi:10.1146/annurev.pu.12.050191.002233.
  • Jeon, S. Y., Reither, E. N., & Masters, R. K. (2016). A population-based analysis of increasing rates of suicide mortality in Japan and South Korea, 1985–2010. BMC Public Health, 16, 1–9. doi:10.1186/s12889-016-3020-2.
  • Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Götestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25, 67–92. doi:10.1007/s10899-008-9088-6.
  • Kessler, R. C., Little, R. J., & Groves, R. M. (1995). Advances in strategies for minimizing and adjusting for survey nonresponse. Epidemiologic Reviews, 17, 192–204. doi:10.1093/oxfordjournals.epirev.a036176.
  • Keyes, K. M., Gary, D. S., Beardslee, J., Prins, S. J., O’Malley, P. M., Rutherford, C., & Schulenberg, J. (2017). Age, period, and cohort effects in conduct problems among American adolescents from 1991 through 2015. American Journal of Epidemiology. Advance online publication. doi: 10.1093/aje/kwx268
  • Keyes, K. M. & Miech, R. (2013). Age, period, and cohort effects in heavy episodic drinking in the US from 1985 to 2009. Drug & Alcohol Dependence, 132, 140–148. doi:10.1016/j.drugalcdep.2013.01.019.
  • Keyes, K. M., Nicholson, R., Kinley, J., Raposo, S., Stein, M. B., Goldner, E. M., & Sareen, J. (2014). Age, period, and cohort effects in psychological distress in the United States and Canada. American Journal of Epidemiology, 179, 1216–1227. doi:10.1093/aje/kwu029.
  • Keyes, K. M., Utz, R. L., Robinson, W., & Li, G. (2010). What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971–2006. Social Science & Medicine, 70, 1100–1108. doi:10.1016/j.socscimed.2009.12.018.
  • Kim, H. S., Wohl, M. J., Gupta, R., & Derevensky, J. (2016). From the mouths of social media users: A focus group study exploring the social casino gaming–online gambling link. Journal of Behavioral Addictions, 5, 115–121. doi:10.1556/2006.5.2016.014.
  • Kim, H. S., Wohl, M. J., Salmon, M. M., Gupta, R., & Derevensky, J. (2015). Do social casino gamers migrate to online gambling? An assessment of migration rate and potential predictors. Journal of Gambling Studies, 31, 1819–1831. doi:10.1007/s10899-014-9511-0.
  • King, D. L., Gainsbury, S. M., Delfabbro, P. H., Hing, N., & Abarbanel, B. (2015). Distinguishing between gaming and gambling activities in addiction research. Journal of Behavioral Addictions, 4, 215–220. doi:10.1556/2006.4.2015.045.
  • King, D. L., Russell, A., Gainsbury, S., Delfabbro, P. H., & Hing, N. (2016). The cost of virtual wins: An examination of gambling-related risks in youth who spend money on social casino games. Journal of Behavioral Addictions, 5, 401–409. doi:10.1556/2006.5.2016.067.
  • Korn, D. A. & Shaffer, H. J. (1999). Gambling and the health of the public: Adopting a public health perspective. Journal of Gambling Studies, 15, 289–365. doi:10.1023/A:1023005115932.
  • Kramer, M. R., Valderrama, A. L., & Casper, M. L. (2015). Decomposing black-white disparities in heart disease mortality in the United States, 1973–2010: An age–period–cohort analysis. American Journal of Epidemiology, 182, 302–312. doi:10.1093/aje/kwv050.
  • Kraus, L., Osthus, S., Amundsen, E. J., Piontek, D., Härkönen, J., Legleye, S., & …, Törrönen, J. (2015). Changes in mortality due to major alcohol-related diseases in four Nordic countries, France and Germany between 1980 and 2009: A comparative age-period-cohort analysis. Addiction, 110, 1443–1452. doi:10.1111/add.12989.
  • Kupper, L. L., Janis, J. M., Karmous, A., & Greenberg, B. G. (1985). Statistical age–period–cohort analysis: A review and critique. Journal of Chronic Diseases, 38, 811–830. doi:10.1016/0021-9681(85)90105-5.
  • Ladouceur, R. & Dubé, D. (1995). Prevalence of pathological gambling and associated problems in individuals who visit non-gambling video arcades. Journal of Gambling Studies, 11, 361–365. doi:10.1007/BF02108614.
  • LaPlante, D. A. & Shaffer, H. J. (2007). Understanding the influence of gambling opportunities: Expanding exposure models to include adaptation. American Journal of Orthopsychiatry, 77, 616–623. doi:10.1037/0002-9432.77.4.616.
  • Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 106, 490–498. doi:10.1111/j.1360-0443.2010.03300.x.
  • Ludwig, M., Kräplin, A., Braun, B., & Kraus, L. (2013). Gambling experiences, problems, research and policy: Gambling in Germany. Addiction, 108, 1554–1561. doi:10.1111/j.1360-0443.2012.04025.x.
  • Lynch, J. & Smith, G. D. (2005). A life course approach to chronic disease epidemiology. Annual Review of Public Health, 26, 1–35. doi:10.1146/annurev.publhealth.26.021304.144505.
  • MacLaren, V. V. (2016). Video lottery is the most harmful form of gambling in Canada. Journal of Gambling Studies, 32, 459–485. doi:10.1007/s10899-015-9560-z.
  • Markham, F., Young, M., Doran, B., & Sugden, M. (2017). A meta-regression analysis of 41 Australian problem gambling prevalence estimates and their relationship to total spending on electronic gaming machines. BMC Public Health, 17, 1–11. doi:10.1186/s12889-017-4413-6.
  • Mason, K. O., Mason, W. M., Winsborough, H. H., & Poole, W. K. (1973). Some methodological issues in cohort analysis of archival data. American Sociological Review, 38, 242–258 . Retrieved from http://www.jstor.org/stable/2094398.
  • McBride, J. & Derevensky, J. (2016). Gambling and video game playing among youth. Journal of Gambling Issues, 34, 156–178. doi:10.4309/jgi.2016.34.9.
  • McNeilly, D. P. & Burke, W. J. (2000). Late life gambling: The attitudes and behaviors of older adults. Journal of Gambling Studies, 16, 393–415. doi:10.1023/A:1009432223369.
  • Meyer, C., Bischof, A., Westram, A., Jeske, C., Brito, S., Glorius, S., & … Rumpf, H. J. (2015). The ‘Pathological Gambling and Epidemiology’ (PAGE) study program: Design and fieldwork. International Journal of Methods in Psychiatric Research, 24, 11–31. doi:10.1002/mpr.1458.
  • Meyer, G. (2016). Glücksspiel – Zahlen und Fakten [Gambling – Data and Facts]. In DHS Deutsche Hauptstelle für Suchtfragen e.V. (Eds.), Jahrbuch Sucht 2016 [Addiction Annual 2016] (pp. 126–144). Lengerich, Germany: Pabst Science.
  • Meyer, G., Fiebig, M., Häfeli, J., & Mörsen, C. (2011). Development of an assessment tool to evaluate the risk potential of different gambling types. International Gambling Studies, 11, 221–236. doi:10.1080/14459795.2011.584890.
  • Miech, R., Bohnert, A., Heard, K., & Boardman, J. (2013). Increasing use of nonmedical analgesics among younger cohorts in the United States: A birth cohort effect. Journal of Adolescent Health, 52, 35–41. doi:10.1016/j.jadohealth.2012.07.016.
  • Miech, R. & Koester, S. (2012). Trends in U.S., past-year marijuana use from 1985 to 2009: An age–period–cohort analysis. Drug & Alcohol Dependence, 124, 259–267. doi:10.1016/j.drugalcdep.2012.01.020.
  • Miech, R., Koester, S., & Dorsey-Holliman, B. (2011). Increasing US mortality due to accidental poisoning: The role of the baby boom cohort. Addiction, 106, 806–815. doi:10.1111/j.1360-0443.2010.03332.x.
  • Mok, W. P. & Hraba, J. (1991). Age and gambling behavior: A declining and shifting pattern of participation. Journal of Gambling Studies, 7, 313–335. doi:10.1007/BF01023749.
  • O’Brien, R. (2011). Constrained estimators and age-period-cohort models. Sociological Methods & Research, 40, 419–452. doi:10.1177/0049124111415367.
  • O’Brien, R. (2014). Age-period-cohort models: Approaches and analyses with aggregate data. Boca Raton, FL: CRC Press.
  • Olason, D. T., Hayer, T., Brosowski, T., & Meyer, G. (2015). Gambling in the mist of economic crisis: Results from three national prevalence studies from Iceland. Journal of Gambling Studies, 31, 759–774. doi:10.1007/s10899-015-9523-4.
  • Olason, D. T., Hayer, T., Meyer, G., & Brosowski, T. (2017). Economic recession affects gambling participation but not problematic gambling: Results from a population-based follow-up study. Frontiers in Psychology, 8, 1–10. doi:10.3389/fpsyg.2017.01247.
  • Park, C., Jee, Y. H., & Jung, K. J. (2016). Age–period–cohort analysis of the suicide rate in Korea. Journal of Affective Disorders, 194, 16–20. doi:10.1016/j.jad.2016.01.021.
  • Parkinson, J., Minton, J., Lewsey, J., Bouttell, J., & McCartney, G. (2017). Recent cohort effects in suicide in Scotland: A legacy of the 1980s? Journal of Epidemiology and Community Health, 71, 194–200. doi:10.1136/jech-2016-207296.
  • Phillips, J. A. (2014). A changing epidemiology of suicide? The influence of birth cohorts on suicide rates in the United States. Social Science & Medicine, 114, 151–160. doi:10.1016/j.socscimed.2014.05.038.
  • Powers, D. A. (2013). Black–white differences in maternal age, maternal birth cohort, and period effects on infant mortality in the US (1983–2002). Social Science Research, 42, 1033–1045. doi:10.1016/j.ssresearch.2013.03.005.
  • Reither, E. N., Hauser, R. M., & Yang, Y. (2009). Do birth cohorts matter? Age-period-cohort analyses of the obesity epidemic in the United States. Social Science & Medicine, 69, 1439–1448. doi:10.1016/j.socscimed.2009.08.040.
  • Rindfuss, R. R. (1991). The young adult years: Diversity, structural change, and fertility. Demography, 28, 493–512 . Retrieved from http://www.jstor.org/stable/2061419.
  • Ryder, N. B. (1965). The cohort as a concept in the study of social change. American Sociological Review, 30, 843–861 . Retrieved from http://www.jstor.org/stable/2090964.
  • Sassen, M., Kraus, L., Bühringer, G., Pabst, A., Piontek, D., & Taqi, Z. (2011). Gambling among adults in Germany: Prevalence, disorder and risk factors. Sucht, 57, 249–257. doi:10.1024/0939-5911.a000115.
  • Sassen, M., Kraus, L., & Bühringer, G. (2011). Differences in pathological gambling prevalence estimates: Facts or artefacts? International Journal of Methods in Psychiatric Research, 20, e83–e99. doi:10.1002/mpr.354.
  • Shaffer, H. J. & Hall, M. N. (2001). Updating and refining prevalence estimates of disordered gambling behaviour in the United States and Canada. Canadian Journal of Public Health, 92, 168–172. doi:10.17269/cjph.92.102.
  • Shaffer, H. J. & Korn, D. A. (2002). Gambling and related mental disorders: A public health analysis. Annual Review of Public Health, 23, 171–212. doi:10.1146/annurev.publhealth.23.100901.140532.
  • Shaffer, H. J., Hall, M. N., & Vander Bilt, J. (1999). Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis. American Journal of Public Health, 89, 1369–1376. doi:10.2105/AJPH.89.9.1369.
  • Shaw, M. C., Forbush, K. T., Schlinder, J., Rosenman, E., & Black, D. W. (2007). The effect of pathological gambling on families, marriages, and children. CNS Spectrums, 12, 615–622. doi:10.1017/S1092852900021416.
  • Steinberg, L. (2007). Risk taking in adolescence: New perspectives from brain and behavioral science. Current Directions in Psychological Science, 16, 55–59. doi:10.1111/j.1467-8721.2007.00475.x.
  • Storer, J., Abbott, M. W., & Stubbs, J. (2009). Access or adaptation? A meta-analysis of surveys of problem gambling prevalence in Australia and New Zealand with respect to concentration of electronic gaming machines. International Gambling Studies, 9, 225–244. doi:10.1080/14459790903257981.
  • Subramaniam, M., Wang, P., Soh, P., Vaingankar, J. A., Chong, S. A., Browning, C. J., & Thomas, S. A. (2015). Prevalence and determinants of gambling disorder among older adults: A systematic review. Addictive Behaviors, 41, 199–209. doi:10.1016/j.addbeh.2014.10.007.
  • Tarone, R. E. & Chu, K. C. (1996). Evaluation of birth cohort patterns in population disease rates. American Journal of Epidemiology, 143, 85–91. doi:10.1093/oxfordjournals.aje.a008661.
  • Trümper, J. & Heimann, C. (2014). Angebotsstruktur der Spielhallen und Geldspielgeräte in Deutschland [The supply-side structure of gaming halls and electronic gaming machines in Germany]. Unna, Germany: Arbeitskreis gegen Spielsucht e.V.
  • Vieweg, H. G. (2016). Wirtschaftsentwicklung Unterhaltungsautomaten 2015 und Ausblick 2016 [Economic development of the German coin-operated gaming and amusement machine industry 2015 and outlook for 2016]. Retrieved from http://vdai.de/ima2016/ifo-wirtschaftsstudie-dt.pdf
  • Welte, J. W., Barnes, G. M., Tidwell, M.-C., Hoffman, J. H., & Wieczorek, W. F. (2015). Gambling and problem gambling in the United States: Changes between 1999 and 2013. Journal of Gambling Studies, 31, 695–715. doi:10.1007/s10899-014-9471-4.
  • Wood, R. T., Gupta, R., Derevensky, J. L., & Griffiths, M. (2004). Video game playing and gambling in adolescents: Common risk factors. Journal of Child & Adolescent Substance Abuse, 14, 77–100. doi:10.1300/J029v14n01_05.
  • Yang, Y., Fu, W. J., & Land, K. C. (2004). A methodological comparison of age-period-cohort models: The intrinsic estimator and conventional generalized linear models. Sociological Methodology, 34, 75–110. doi:10.1111/j.0081-1750.2004.00148.x.
  • Yang, Y., & Land, K. C. (2013). Age-period-cohort analysis. New models, methods, and empirical applications. Boca Raton, FL: CRC Press.
  • Yang, Y., Schulhofer-Wohl, S., Fu, W. J., & Land, K. C. (2008). The intrinsic estimator for age-period-cohort analysis: What it is and how to use it. American Journal of Sociology, 113, 1697–1736. doi:10.1086/587154.

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