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Self-Rated Health Trajectories: Alternate Measures of Perceived Change in Health as a Predictor of Mortality

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Abstract:

Past studies have demonstrated a reliable inverse association between self-rated health status (SRH) and mortality, but little is known about how individuals assess their general health status in surveys. The trajectory hypothesis states that individuals rate their current health in comparison to past health – suggesting that a one-time assessment of general health actually measures perceived changes in health. To date, few studies have examined the relationship between perceived change in health and mortality. Using Health and Retirement Study data, the trajectory hypothesis is tested by comparing two models – a logistic regression model testing the association between a perceived change in general health over two years and mortality controlling for baseline self-rated health and a fixed-effects model testing the association between a calculated change score of SRH and mortality. The logistic regression model demonstrated the effects of baseline SRH and perceived change in health to be independent of one another. Despite the significance of the calculated change score in the fixed-effects model, the logistic regression model better explained the association of SRH trajectories and mortality – indicating a direct measure of perceived change in health predicts mortality more reliably than an indirect measure of change in health status over time.

Most Common Document Word Stems:

health (208), self (87), chang (84), model (83), mortal (71), rate (55), report (54), status (50), 1 (49), effect (47), condit (44), self-rat (43), variabl (39), 1994 (36), 2 (35), time (34), self-report (32), 1992 (32), good (31), age (30), studi (28),

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self-rated health, mortality, health trajectories
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Name: American Sociological Association
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MLA Citation:

Remle, R.. "Self-Rated Health Trajectories: Alternate Measures of Perceived Change in Health as a Predictor of Mortality" Paper presented at the annual meeting of the American Sociological Association, Hilton San Francisco & Renaissance Parc 55 Hotel, San Francisco, CA,, Aug 14, 2004 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p108870_index.html>

APA Citation:

Remle, R. C. , 2004-08-14 "Self-Rated Health Trajectories: Alternate Measures of Perceived Change in Health as a Predictor of Mortality" Paper presented at the annual meeting of the American Sociological Association, Hilton San Francisco & Renaissance Parc 55 Hotel, San Francisco, CA, Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p108870_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: Past studies have demonstrated a reliable inverse association between self-rated health status (SRH) and mortality, but little is known about how individuals assess their general health status in surveys. The trajectory hypothesis states that individuals rate their current health in comparison to past health – suggesting that a one-time assessment of general health actually measures perceived changes in health. To date, few studies have examined the relationship between perceived change in health and mortality. Using Health and Retirement Study data, the trajectory hypothesis is tested by comparing two models – a logistic regression model testing the association between a perceived change in general health over two years and mortality controlling for baseline self-rated health and a fixed-effects model testing the association between a calculated change score of SRH and mortality. The logistic regression model demonstrated the effects of baseline SRH and perceived change in health to be independent of one another. Despite the significance of the calculated change score in the fixed-effects model, the logistic regression model better explained the association of SRH trajectories and mortality – indicating a direct measure of perceived change in health predicts mortality more reliably than an indirect measure of change in health status over time.

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Document Type: .PDF
Page count: 21
Word count: 6044
Text sample:
Self-Rated Health Trajectories: Alternate Measures of Perceived Change in Health as a Predictor of Mortality R. Corey Remle Duke University Address correspondence to R. Corey Remle Department of Sociology Duke University Box 90088 Durham NC 27708; phone: 919-660-5635; fax: 919-660-5623; email: cremle@soc.duke.edu INTRODUCTION Recent medical sociological research has demonstrated a consistent link between self- rated health and mortality. Reviews of nearly 45 studies conducted between 1982 and 1998 found that self-rated health serves as a strong predictor of mortality
in 1994 (0.049) Calculated Change in 0.1980*** Health 1994-1992 (0.041) AIC Intercept only 5940.255 5940.255 5940.255 W/covariates 5139.950 5123.130 5212.909 -2 Log L Intercept only 5938.255 5938.255 5938.255 W/covariates 5125.950 5107.130 5198.909 *p<.01 **p<.001 ***p<.0001 Table 4. The log odds effects of self-reported health in 1992 (Model 1) change in health in 1994 (Model 2) and calculated change in health between waves (Model 3) on mortality among 11 308 HRS respondents 21


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