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Social Indicators Research

, Volume 119, Issue 3, pp 1335–1361 | Cite as

Does Religion Make You Healthier and Longer Lived? Evidence for Germany

  • Bruce HeadeyEmail author
  • Gerhard Hoehne
  • Gert G. Wagner
Article

Abstract

Researchers in the US have consistently reported substantial—not just statistically significant—links between religious belief and practice, and improved health and longevity. In this paper we report evidence for Germany, using data from the long-running, nationally representative German Socio-Economic Panel (SOEP 1984). The SOEP dataset includes multiple measures of health, plus many ‘controls’ which it is appropriate to use in assessing links between religious practice, health and longevity. These controls include personality traits known to be associated with better health (notably conscientiousness), and also the age of death of parents of the survey respondents. Initial results suggested that religious practice (church attendance) may be linked only to subjective (self-rated) measures of health, not to more objective measures. It seemed possible that results in some previous research could be due to what may be termed satisfaction bias or positivity bias; the known tendency of religious people to report higher than average satisfaction with almost all aspects of life. Further investigation indicated that relationships between church attendance and subjective measures of health were weaker, when a control for satisfaction bias was in place. However, there was countervailing evidence that the subjective measures in SOEP may actually be more not less valid than the objective measures; they are better not worse predictors of mortality. It was also clear that religious belief and church attendance are associated with health-protective behaviors and attitudes, including taking more exercise, not smoking and higher life satisfaction. At the end of the paper we estimate a structural equation model which maps links between religious practice, these protective behaviors and attitudes, and improved health outcomes.

Keywords

Subjective and objective health measures Church attendance Satisfaction bias German Socio-Economic Panel (SOEP) 

Notes

Acknowledgments

We are grateful for comments and suggestions from Ruud Muffels of Tilburg University and Stephen Headey of Monash University.

References

  1. Ambrasat, J., Schupp, J., & Wagner, G. G. (2011). Comparing the predictive power of subjective and objective health indicators: Changes in hand grip strength and overall satisfaction with life as predictors of mortality. SOEP papers on Multidisciplinary Panel Data Research from DIW Berlin No. 398.Google Scholar
  2. Andrews, F. M., & Withey, S. B. (1976). Social indicators of well-being. New York: Plenum.CrossRefGoogle Scholar
  3. Argyle, M. (2001). The psychology of happiness (2nd ed.). London: Taylor and Francis.Google Scholar
  4. Ayhan, H. O., & Isiksal, S. (2004). Memory recall errors in retrospective surveys: A review check record study. Quality & Quantity, 38, 475–493.CrossRefGoogle Scholar
  5. Benson, H., Dusek, J. A., Sherwood, J. B., et al. (2006). Study of the therapeutic effects of intercessory prayer (STEP) in cardiac bypass patients: A multicenter randomized trial of uncertainty and certainty of receiving intercessory prayer. American Heart Journal, 151(4), 934–942.CrossRefGoogle Scholar
  6. Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238–246.CrossRefGoogle Scholar
  7. Bentler, P. M., & Freeman, E. H. (1983). Tests for stability in linear structural equation systems, Psychometrika, 48, 143–145.Google Scholar
  8. Bentler, P. M., & Raykov, T. (2000). On measures of explained variance in non-recursive structural equation models. Journal of Applied Psychology, 85, 125–131.CrossRefGoogle Scholar
  9. Bohannon, R. W. (2001). Dynamometer measurements of hand-grip strength predict multiple outcomes. Perceptual and Motor Skills, 93, 323–328.CrossRefGoogle Scholar
  10. Bohannon, R. W. (2008). Hand-grip dynamometry predicts future outcomes in aging adults. Journal of Geriatric Physical Therapy, 31, 3–10.CrossRefGoogle Scholar
  11. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In J. S. Bollen & K. A. Long (Eds.), Testing structural equation models. Newbury Park, CA: Sage.Google Scholar
  12. Byrd, R. C. (1988). Positive therapeutic effects of intercessory prayer in a coronary care unit population. Southern Medical Journal, 81(7), 826–829.CrossRefGoogle Scholar
  13. Campbell, A., Converse, P. E., & Rodgers, W. R. (1976). The quality of American Life. New York: Sage.Google Scholar
  14. Clark, A. E., & Lelkes, O. (2009). Let us pray: Religious interactions in life satisfaction. PSE Working Papers, halshs-00566120, HAL.Google Scholar
  15. Coleman, J. S. (1968). The mathematical study of change. In H. Blalock & A. Blalock (Eds.), Methodology in social research (pp. 428–478). New York: McGraw Hill.Google Scholar
  16. Costa, P. T., & McCrae, R. R. (1991). NEO PI-R. Odessa, FL: PAR.Google Scholar
  17. Deeg, D., & van Zonneveld (1989). Does happiness lengthen life? In R. Veenhoven (Ed.), How harmful is happiness?, Chap. 5. Rotterdam: Erasmus University Press.Google Scholar
  18. Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 25, 276–302.CrossRefGoogle Scholar
  19. Finkel, S. E. (1995). Causal analysis with panel data. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
  20. Frick, J. R., Schupp, J., & Wagner, G. G. (2007). Enhancing the power of the German Socio-Economic Panel Study (SOEP)—evolution, scope and enhancements. Schmollers Jahrbuch, 127, 139–169.Google Scholar
  21. Friedman, H. S., & Martin, L. R. (2011). The longevity project: Surprising discoveries for health and long life from the landmark eight-decade study. Harmondsworth: Penguin.Google Scholar
  22. Frijters, P., Haisken-DeNew, J. P., & Shields, M. A. (2004). Money does matter! Evidence from increasing real incomes and life satisfaction in East Germany following reunification. American Economic Review, 94, 730–741.CrossRefGoogle Scholar
  23. Gerlitz, J. -Y., & Schupp, J. (2005). Zur Erhebung der Big-Five-basierten Persoenlichkeitsmerkmale im SOEP. www.diw.de/deutsche/produkte/publikationen/researchnotes/docs/papers/rn4.pdf.
  24. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438.CrossRefGoogle Scholar
  25. Gudmundsson, H., et al. (2000). Inheritance of human longevity in Iceland. European Journal of Human Genetics, 10, 743–749.CrossRefGoogle Scholar
  26. Hall, D. E. (2006). Religious attendance: More cost-effective than Lipitor? The Journal of the American Board of Family Medicine, 19, 103–109.CrossRefGoogle Scholar
  27. Headey, B. W., Muffels, R. J. A., & Wagner, G. G. (2013). Parents transmit happiness along with associated values and behaviors to their children: A lifelong happiness dividend? Social Indicators Research,. doi: 10.1007/s/11205-013-0326-7.Google Scholar
  28. Headey, B. W., Schupp, J., Tucci, I., & Wagner, G. G. (2010). Authentic happiness theory supported by impact of religion on life satisfaction: A longitudinal analysis with data for Germany. Journal of Positive Psychology, 5, 73–82.CrossRefGoogle Scholar
  29. Headey, B. W., Veenhoven, R., & Wearing, A. J. (1991). Top-down versus bottom-up theories of subjective well-being. Social Indicators Research, 24, 81–90.CrossRefGoogle Scholar
  30. Joreskog, K. G, & Sorbom, D. (1986). LISREL VI: Analysis of linear structural relationships by the method of maximum likelihood. Mooresville, IN: Scientific Software.Google Scholar
  31. Kessler, R. C., & Greenberg, D. F. (1981). Linear panel analysis. New York: Academic Press.Google Scholar
  32. Kline, R. B. (2005). Principles and practice of structural equation modelling. New York: Guilford Press.Google Scholar
  33. Koenig, H. G. (1998). Handbook of religion and mental health. New York: Academic Press.Google Scholar
  34. Koenig, H. G., King, D., & Carson, V. (2012). Handbook of religion and health. New York: Oxford University Press.Google Scholar
  35. Lach, S., Riton, Y., & Simhon, A. (2006). Longevity across generations. Discussion Paper No. 4.06. Maurice Falk Institute for Economic Research in Israel, Hebrew University of Jerusalem.Google Scholar
  36. Lucas, R. E. (2008). Personality and subjective well-being. In M. Eid & R. J. Larsen (Eds.), The science of subjective well-being (pp. 171–194). New York: Guilford Press.Google Scholar
  37. Marmot, M. G., Davey Smith, G., Stansfield, S., et al. (1991). Health inequalities among British Civil Servants: The Whitehall II study. Lancet, 337(8754), 1387–1393.CrossRefGoogle Scholar
  38. Marmot, M. G., Rose, G., Shipley, M., & Hamilton, P. J. (1978). Employment grade and coronary heart disease in British civil servants. Journal of Epidemiology and Community, 32(4), 244–249.CrossRefGoogle Scholar
  39. Maselko, J. (2006). Senior citizens who attend religious services may prolong lung health. www.seniorjournal.com, 1 Nov 2006 [cached].
  40. Maselko, J., & Kubzansky, L. (2006). Gender differences in religious practices, spiritual experiences and health: Results from the General Social Survey. Social Science and Medicine, 32(3), 245–253.Google Scholar
  41. Metter, E. J., Talbot, L. A., Schrager, M., et al. (2002). Skeletal muscle strength as a predictor of all-cause mortality in healthy men. Journal of Gerontological and Biological Sciences Medical Sciences, 57(10), B359–B365.Google Scholar
  42. Myers, D. G. (2013). Religious engagement and well-being. In S. A. David, I. Boniwell, & A. Conley Ayers (Eds.), The Oxford handbook of happiness (pp. 88–100). Oxford: Oxford University Press.Google Scholar
  43. Rantanen, T., Harris, T., Leveille, S. G., Visser, M., Foley, D., Masaki, K., et al. (2000). Muscle strength and body mass index as long-term predictors of mortality in initially healthy men. Journal of Gerontology: Medical Sciences, 55A, M168–M173.Google Scholar
  44. Roberts, B. W., Walton, K., & Viechtbauer, W. (2006). Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychological Bulletin, 132, 3–27.Google Scholar
  45. Schnall, E., Wassertheil-Smoller, S., Swencionis, C., Zemon, V., et al. (2010). The relationship between religion and cardiovascular outcomes and all-cause mortality in the women’s health initiative observational study. Psychology and Health, 25, 249–263.CrossRefGoogle Scholar
  46. Schwarze, J., Andersen, H., & Silke, A. (2000). Self-rated health and changes in self-rated health as predictors of mortalityfirst evidence from the German panel data. DIW Discussion Paper No. 203. Berlin, DIW.Google Scholar
  47. Scollon, C. N., & Diener, E. (2006). Love, work and changes in extroversion and neuroticism over time. Journal of Personality and Social Psychology, 91, 1152–1165.CrossRefGoogle Scholar
  48. Sobel, M. E. (1987). Direct and indirect effects in linear structural equation models. Sociological Methods and Research, 16, 155–176.CrossRefGoogle Scholar
  49. Sørensen, T., Danbolt, L. J., Lien, L., Koenig, H. G., & Holmen, J. (2011). The relationship between religious attendance and blood pressure: The Hunt Study, Norway. The International Journal of Psychiatry in Medicine, 42(1), 13–28.CrossRefGoogle Scholar
  50. STATA. (2011). Structural equation modeling reference manual. College Station, TX: STATA Press.Google Scholar
  51. Strawbridge, W. J., Cohen, R. D., Shema, S. J., & Kaplan, G. A. (1997). Frequent attendance at religious services and mortality over 28 years. American Journal of Public Health, 87(6), 957–961.CrossRefGoogle Scholar
  52. Tuma, N., & Hannan, M. (1984). Social dynamics. New York: Academic Press.Google Scholar
  53. Veenhoven (2009). World database of happiness. Rotterdam: Erasmus University Press. http://worlddatabaseofhappiness.eur.nl/. Accessed 6 August 2013.
  54. Ware, J. E., Snow, K., & Kosinski, M. (2000). SF-36 health survey: Manual and interpretation guide. Lincoln, RI: QualityMetric Inc.Google Scholar
  55. Winkelmann, R. (2000). Seemingly unrelated negative binomial regression. Oxford Bulletin of Economics and Statistics, 62, 553–560.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Bruce Headey
    • 1
    • 2
    Email author
  • Gerhard Hoehne
    • 3
  • Gert G. Wagner
    • 2
    • 3
    • 4
  1. 1.Melbourne InstituteUniversity of MelbourneParkvilleAustralia
  2. 2.German Institute for Economic Research (DIW)BerlinGermany
  3. 3.Berlin University of TechnologyBerlinGermany
  4. 4.Max Planck Institute for Human DevelopmentBerlinGermany

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