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An empirical analysis of the dimensions of health status measures

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  • Segovia, Jorge
  • Bartlett, Roy F.
  • Edwards, Alison C.

Abstract

The objective of this study is to verify empirically the existence of separate dimensions in the overall concept of health status by analysing 10 variables included in a questionnaire that was applied to all adults in a simple random sample of households in St John's, Newfoundland. The response rate was 85% for a total of 3300 subjects. These data were analyzed by frequencies and by associations with sex, age and education. Nonparametric correlation, factor and cluster analyses on variables were used to verify if health status had identifiable dimensions. All these methods produced similar results showing five distinct factors. The first factor is composed of variables related to disease (disability/chronic conditions/worry about health); the second, to happiness (happiness/emotional); the third, to subjective appraisal of health (physical condition/ comparative level of energy/self-rated health status). Finally, the fourth and fifth factors were single variables; restriction of normal activities and social contacts. An interesting finding was that self-rated health status was distributed with almost equal weight in both the first and third factors. A validation of the 10 variables and the 5 factors was undertaken by studying their association with health care utilization. Two measures of utilization were used; number of physicians' visits in a year and number of hospital days in a 4-year period. Number of chronic conditions, disability and self-rated health status were associated with both measures of utilization; factor 1 was the only summary construct showing association with utilization. This paper demonstrates that self-rated health status is valid as a single measure of overal health status in this sample, being associated with both disease and subjective assessment components.

Suggested Citation

  • Segovia, Jorge & Bartlett, Roy F. & Edwards, Alison C., 1989. "An empirical analysis of the dimensions of health status measures," Social Science & Medicine, Elsevier, vol. 29(6), pages 761-768, January.
  • Handle: RePEc:eee:socmed:v:29:y:1989:i:6:p:761-768
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    Cited by:

    1. Peng, Rong & Ling, Li & He, Qun, 2010. "Self-rated health status transition and long-term care need, of the oldest Chinese," Health Policy, Elsevier, vol. 97(2-3), pages 259-266, October.
    2. Deanna L. Williamson & Janet E. Fast, 1998. "Poverty Status, Health Behaviours, and Health: Implications for Social Assistance and Health Care Policy," Canadian Public Policy, University of Toronto Press, vol. 24(1), pages 1-25, March.
    3. Stafford, M. & Cummins, S. & Macintyre, S. & Ellaway, A. & Marmot, M., 2005. "Gender differences in the associations between health and neighbourhood environment," Social Science & Medicine, Elsevier, vol. 60(8), pages 1681-1692, April.
    4. Mayumi Harigane & Hiromi Imuta & Seiji Yasumura & Fumikazu Hayashi & Hironori Nakano & Tetsuya Ohira & Masaharu Maeda & Hirooki Yabe & Yuriko Suzuki & Kenji Kamiya & on behalf of the Mental Health Gro, 2021. "Factors Hindering Social Participation among Older Residents from Evacuation Zones after the Nuclear Power Plant Accident in Fukushima: The Fukushima Health Management Survey," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
    5. Alan C Tsai & Pei‐Yu Ku & Jeng‐Dau Tsai, 2010. "Population‐specific Mini Nutritional Assessment can improve mortality‐risk‐predicting ability in institutionalised older Taiwanese," Journal of Clinical Nursing, John Wiley & Sons, vol. 19(17‐18), pages 2493-2499, September.
    6. Lazarevič, Patrick & Brandt, Martina, 2020. "Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country," Social Science & Medicine, Elsevier, vol. 267(C).
    7. Duncan Thomas & Elizabeth Frankenberg, 2001. "The Measurement and Interpretation of Health in Social Surveys," Working Papers 01-06, RAND Corporation.
    8. Maria Alessandra Antonelli & Giorgia Marini, 2023. "Good health with good institutions. An empirical analysis for italian regions," Public Finance Research Papers 61, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
    9. Michael G Trotter & Tristan J. Coulter & Paul A Davis & Dylan R Poulus & Remco Polman, 2020. "The Association between Esports Participation, Health and Physical Activity Behaviour," IJERPH, MDPI, vol. 17(19), pages 1-14, October.
    10. Ann Berry & Mary Katras & Yoshie Sano & Jaerim Lee & Jean Bauer, 2008. "Job Volatility of Rural, Low-income Mothers: A Mixed Methods Approach," Journal of Family and Economic Issues, Springer, vol. 29(1), pages 5-22, March.
    11. Evangelos C. Alexopoulos & Mary Geitona, 2009. "Self-Rated Health: Inequalities and Potential Determinants," IJERPH, MDPI, vol. 6(9), pages 1-14, September.
    12. Artazcoz, Lucia & Cortès, Imma & Borrell, Carme & Escribà-Agüir, Vicenta & Cascant, Lorena, 2011. "Social inequalities in the association between partner/marital status and health among workers in Spain," Social Science & Medicine, Elsevier, vol. 72(4), pages 600-607, February.

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