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Psychological Factors Influencing Self-Assessments of Health: Toward an Understanding of the Mechanisms Underlying How People Rate Their Own Health

  • Original Article
  • Published:
Annals of Behavioral Medicine

Abstract

Background

Research in the past 20 years has shown that self-assessed health (SAH) is a consistent and reliable predictor of health outcomes. However, it is still unclear what factors are responsible for the association of SAH with mortality and other objective health indicators.

Purpose

This study examined the impact of trait positive affect, trait negative affect, and functional limitations (FL) on SAH cross-sectionally and longitudinally. We hypothesized that changes in SAH ratings would be mainly influenced by FL, whereas affective information would have a biasing effect on SAH ratings cross-sectionally.

Methods

We analyzed longitudinal data obtained from five successive annual interviews conducted with over 800 elderly respondents (mean age = 73 years) using latent growth curve modeling.

Results

Results revealed that SAH judgments were related to FL and to trait affects in each of the five waves (cross-sectional data), but only changes in FL were related to changes in SAH over time. These data also showed that changes in SAH were predictive of mortality above and beyond its initial levels.

Conclusions

The results suggest that the temporal trajectory of FL is a source of information that allows an individual’s SAH to predict objective health measures of both morbidity and mortality.

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References

  1. Idler E, Benyamini Y. Self-rated health and mortality: A review of twenty-seven community studies. J Health Soc Behav. 1997; 381: 21–37.

    Article  PubMed  Google Scholar 

  2. Lyyra T-M, Heikkinen E, Lyyra A-L, Jylhä M. Self-rated health and mortality: Could clinical and performance-based measures of health and functioning explain the association? Arch Gerontol Geriatr. 2006; 423: 277–288.

    Article  PubMed  Google Scholar 

  3. Dunning D, Heath C, Suls JM. Flawed self-assessment. Implications for health, education, and the workplace. Psychol Sci Public Interest. 2004; 53: 69–106.

    Article  Google Scholar 

  4. Winter L, Lawton M, Langston CA, Ruckdeschel K, Sando R. Symptoms, affects, and self-rated health: Evidence for a subjective trajectory of health. J Aging Health. 2007; 193: 453–469.

    Article  PubMed  Google Scholar 

  5. Ferraro KF, Kelley-Moore JA. Self-rated health and mortality among Black and White adults: Examining the dynamic evaluation thesis. J Gerontol B Psychol Sci Soc Sci. 2001; 56B4: S195–S205.

    Google Scholar 

  6. Han B, Phillips C, Ferrucci L, et al. Change in self-rated health and mortality among community-dwelling disabled older women. Gerontologist. 2005; 452: 216–221.

    PubMed  Google Scholar 

  7. Benyamini YEAL, Leventhal H. Elderly people's ratings of the importance of health-related factors to their self-assessments of health. Soc Sci Med. 2003; 568: 1661–1667.

    Article  PubMed  Google Scholar 

  8. Barger SD, Burke SM, Limbert MJ. Do induced moods really influence health perceptions? Health Psychol. 2007; 261: 85–95.

    Article  PubMed  Google Scholar 

  9. Benyamini Y, Idler EL, Leventhal H, Leventhal EA. Positive affect and function as influences on self-assessments of health: Expanding our view beyond illness and disability. J Gerontol B Psychol Sci Soc Sci. 2000; 55B2: P107–P116.

    Google Scholar 

  10. Barger SD. Do psychological characteristics explain socioeconomic stratification of self-rated health? J Health Psychol. 2006; 111: 21–35.

    Article  PubMed  Google Scholar 

  11. Singh-Manoux A, Martikainen P, Ferrie J, et al. What does self rated health measure? Results from the British Whitehall II and French Gazel cohort studies. J Epidemiol Community Health. 2006; 604: 364–372.

    Article  PubMed  Google Scholar 

  12. Benyamini Y, Leventhal EA, Leventhal H. Self-assessments of health: What do people know that predicts their mortality? Res Aging. 1999; 213: 477–500.

    Article  Google Scholar 

  13. Williams PG, Wasserman MS, Lotto AJ. Individual differences in self-assessed health: An information-processing investigation of health and illness cognition. Health Psychol. 2003; 221: 3–11.

    Article  PubMed  Google Scholar 

  14. Loewenstein G. Hot–cold empathy gaps and medical decision making. Health Psychol. 2005; 244 Suppl: S17–S22.

    Google Scholar 

  15. Abelson RP. Computer simulation of ‘Hot’ cognition. In: Tomkins SS, Messic S, eds. Computer Simulation of Personality: Frontier of Psychological Theory. New York: Wiley; 1963: 277–298.

    Google Scholar 

  16. Schwarz N, Strack F. Reports of subjective well-being: Judgmental processes and their methodological implications. In: Kahneman D, Diener E, Schwarz N, eds. Well-Being: The Foundations of Hedonic Psychology. New York: Sage; 1999: 61–84.

    Google Scholar 

  17. Larsen RJ, Ketelaar T. Personality and susceptibility to positive and negative emotional states. J Pers Soc Psychol. 1991; 611: 132–140.

    Article  PubMed  Google Scholar 

  18. Bower GH. Mood congruity of social judgments. In: Forgas JP, ed. Emotion and Social Judgments. Oxford: Pergamon; 1991: 31–53.

    Google Scholar 

  19. Chipperfield JG, Perry RP, Weiner B. Discrete emotions in later life. J Gerontol B Psychol Sci Soc Sci. 2003; 581: P23–P34.

    PubMed  Google Scholar 

  20. Leventhal H, Diefenbach M, Leventhal EA. Illness cognition: Using common sense to understand treatment adherence and affect cognition interactions. Special Issue: Cognitive perspectives in health psychology. Cogn Ther Res. 1992; 162: 143–163.

    Article  Google Scholar 

  21. Henderson CJ, Hagger MS, Orbell S. Does priming a specific illness schema result in an attentional information-processing bias for specific illnesses? Health Psychol. 2007; 262: 165–173.

    Article  PubMed  Google Scholar 

  22. Leventhal H, Forster R, Leventhal E. Self-regulation of health threats, affect, and the self: Lessons from older adults. In: Aldwin CM, Park CL, Spiro A III, eds. Handbook of Health Psychology and Aging. New York: Guilford; 2007: 341–366.

    Google Scholar 

  23. Idler E, Leventhal H, McLaughlin J, Leventhal EA. In sickness but not in health: Self-ratings, identity, and mortality. J Health Soc Behav. 2004; 453: 336–356.

    Article  PubMed  Google Scholar 

  24. Wolinsky FD, Armbrecht ES, Wyrwich KW. Rethinking functional limitation pathways. Gerontologist. 2000; 402: 137–146.

    PubMed  Google Scholar 

  25. Vileikyte L, Leventhal H, Gonzalez JS, et al. Diabetic peripheral neuropathy and depressive symptoms: The association revisited. Diabetes Care. 2005; 2810: 2378–2383.

    Article  PubMed  Google Scholar 

  26. Johnson RJ, Wolinsky FD. The structure of health status among older adults: Disease, disability, functional limitation, and perceived health. J Health Soc Behav. 1993; 342: 105–121.

    Article  PubMed  Google Scholar 

  27. Shanks JM. The current status of computer-assisted telephone interviewing: Recent progress and future prospects. Sociol Method Res. 1983; 122: 119–142.

    Article  Google Scholar 

  28. Bollen KA, Curran PJ. Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions. Sociol Method Res. 2004; 323: 336–383.

    Article  Google Scholar 

  29. Asparouhov T, Masyn K, Muthen B. Continuous time survival in latent variable models. Paper presented at Joint Statistical Meeting ASA section on Biometrics, 2006; Seattle, WA.

  30. Schafer JL, Graham JW. Missing data: Our view of the state of the art. Psychol Methods. 2002; 72: 147–177.

    Article  PubMed  Google Scholar 

  31. Yuan K-H, Bentler PM. Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. Sociol Method. 2000; 30: 165–200.

    Google Scholar 

  32. Little RJA, Rubin DB. Statistical Analysis with Missing Data. 2nd ed. Hoboken: Wiley; 2002.

    Google Scholar 

  33. Satorra A, Bentler P. A scaled difference chi-square test statistic for moment structure analysis. Psychometrika. 2001; 664: 507–514.

    Article  Google Scholar 

  34. Burnham KP, Anderson DR. Multimodel inference: Understanding AIC and BIC in model selection. Sociol Method Res. 2004; 332: 261–304.

    Article  Google Scholar 

  35. Aldwin CM, Spiro A III, Levenson MR, Cupertino AP. Longitudinal findings from the normative aging study: III. Personality, individual health trajectories, and mortality. Psychol Aging. 2001; 163: 450–465.

    Article  PubMed  Google Scholar 

  36. Charles ST, Reynolds CA, Gatz M. Age-related differences and change in positive and negative affect over 23 years. J Pers Soc Psychol. 2001; 801: 136–151.

    Article  PubMed  Google Scholar 

  37. Hastie R, Park B. The relationship between memory and judgment depends on whether the judgment task is memory-based or on-line. Psychol Rev. 1986; 933: 258–268.

    Article  Google Scholar 

  38. Greiner PA, Snowdon DA, Greiner LH. Self-rated function, self-rated health, and postmortem evidence of brain infarcts: Findings from the Nun Study. J Gerontol B Psychol Sci Soc Sci. 1999; 544: S219–S222.

    PubMed  Google Scholar 

  39. Mora PA, Halm EA, Leventhal H, Ceric F. Elucidating the relationship between negative affectivity and symptoms: The role of illness-specific affective responses. Ann Behav Med. 2007; 341: 77–86.

    Article  PubMed  Google Scholar 

  40. Levy BR, Slade MD, Kunkel SR, Kasl SV. Longevity increased by positive self-perceptions of aging. J Pers Soc Psychol. 2002; 832: 261–270.

    Article  PubMed  Google Scholar 

  41. Halford GS, Baker R, McCredden JE, Bain JD. How many variables can humans process? Psychol Sci. 2005; 161: 70–76.

    Article  PubMed  Google Scholar 

  42. Pressman SD, Cohen S. Does positive affect influence health? Psychol Bull. 2005; 1316: 925–971.

    Article  PubMed  Google Scholar 

  43. Barefoot JC, Brummett BH, Helms MJ, et al. Depressive symptoms and survival of patients with coronary artery disease. Psychosom Med. 2000; 626: 790–795.

    PubMed  Google Scholar 

  44. Gobet F. Expert memory: A comparison of four theories. Cognition. 1998; 662: 115–152.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This study was funded by Grant NIA AG03501 from the National Institute on Aging. The authors were assisted by grant NIA AG023958 during the writing of this article. We would like to thank Melissa Crouch, Susan Brownlee, and Frances Sisack for their assistance on various aspects of the research reported in this article.

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Correspondence to Pablo A. Mora Ph.D..

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Mora, P.A., DiBonaventura, M.D., Idler, E. et al. Psychological Factors Influencing Self-Assessments of Health: Toward an Understanding of the Mechanisms Underlying How People Rate Their Own Health. ann. behav. med. 36, 292–303 (2008). https://doi.org/10.1007/s12160-008-9065-4

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  • DOI: https://doi.org/10.1007/s12160-008-9065-4

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