Skip to main content
. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: J Subst Abuse Treat. 2016 May 9;67:30–37. doi: 10.1016/j.jsat.2016.05.001

Table 3.

Results from latent class growth analysis (LCGA) based on EQ-5D score trajectories (N = 443).


Latent HRQoL classes
Stably High Stably Moderate Stably Low



Class assignment N % N % N %



107 24.2 260 58.7 76 17.2
Parameter estimates of trajectories β S.E. β S.E. β S.E.



 Constant 1.207* (0.058) 0.871* (0.023) 0.613* (0.049)
 OAT receipt −0.027 (0.047) −0.017 (0.021) −0.023 (0.040)
 Illicit opioid use, non-daily −0.040 (0.040) −0.023 (0.019) 0.035 (0.031)
 Illicit opioid use, daily −0.084 (0.053) −0.056* (0.025) −0.014 (0.045)
 Stimulant use, non-daily −0.109* (0.041) −0.029 (0.018) 0.023 (0.032)
 Stimulant use, daily −0.167* (0.066) −0.059 (0.033) −0.020 (0.054)
Class membership probability Log OR S.E. Referent class Log OR S.E.



 Age at baseline 0.003 (0.022) - 0.011 (0.027)
 Gender 0.021 (0.364) - −0.108 (0.407)
 White −1.461* (0.652) - 1.083 (1.681)
 Aboriginal −0.519 (0.677) - 0.493 (1.716)
 Physical disability −0.893* (0.423) - 2.800 (1.977)
 Mental illness, ever −1.767* (0.349) - 1.184* (0.519)
 HIV+ 0.046 (0.362) - 0.614 (0.401)
 HCV+ 0.119 (0.625) - −0.824 (0.671)
*

Statistically significant at the 5% level.

EQ-5D is a preference weighted multi-attribute index value for health utility.

Class assignment was based on posterior probability of membership.

N: Number of individuals

HIV+: Human Immunodeficiency Virus positive

HCV+: Hepatitis C positive

Log OR: Log odds ratio

S.E.: Standard Error