Table 2.

Multivariate Latent Growth Curve Model for Pain Status over 12 Year Period (n = 19,776; from the Health and Retirement Study, 1998–2010)

	Intercept		Slope
	β	SE	β	SE
Sex (reference: Male)
Female	0.199***	0.016	0.001	0.004
Education (reference: No degree)
High school degree	−0.168***	0.024	0.016**	0.006
4-year college degree	−0.309***	0.042	0.009	0.009
Graduate degree	−0.415***	0.042	0.012	0.011
Wealth (reference: Quartile 1)
Quartile 2	−0.218***	0.026	0.013*	0.006
Quartile 3	−0.298***	0.024	0.013	0.007
Quartile 4 (wealthiest)	−0.321***	0.025	0.003	0.007
Race/Ethnicity (ref.: White non-Hisp.)
Black (non-Hispanic)	−0.112***	0.029	−0.002	0.007
Hispanic	0.002	0.033	−0.015	0.008
Age Categories (ref.: 51–59 in 1998)
61–69 in 1998	−0.112***	0.023	0.016***	0.004
71–79 in 1998	−0.203***	0.024	0.022***	0.005
80 or above in 1998	−0.246***	0.037	0.029**	0.009
Survival Status (reference: Survived)
Died during study period	0.283***	0.023	−0.017*	0.007
Constant	0.000***		0.033***	0.008
Covariance of slope with intercept	−0.033***	0.002
Sample size	19,776
Chi-square value (df=94)	199.56***
RMSEA	0.008
(and 90% CI)	(0.006–0.009)
CFI	0.997
TLI	0.997

Notes:

^*= P < 0.05;

^**= P < 0.01;

^***= P < 0.001; two-tailed.

Estimation conducting using sample weights. Results are from a multivariate model simultaneously including all independent variables.

Abbreviations used: RMSEA (Root Mean Square Error of Approximation),CFI (Comparative Fit Index), and TLI (Tucker-Lewis Index). Intercepts for wealth quartile 3 and 4 are not significantly different from each other.