Skip to main content

Table 5 Latent class model for smoking: daily number of cigarette consumption

From: The effect of job stress on smoking and alcohol consumption

 

Model 1

Model 2

Model 3

 

Comp1

comp2

comp1

Comp2

Comp1

Comp2

High strain

0.116***

0.016

0.111***

0.002

0.102***

-0.009

 

(0.027)

(0.033)

(0.027)

(0.033)

(0.028)

(0.031)

Medium strain

0.061**

-0.007

0.056**

-0.013

0.045

-0.013

 

(0.027)

(0.026)

(0.027)

(0.026)

(0.027)

(0.026)

Real cigarette tax

-0.002

-0.004*

-0.003

-0.004*

-0.002

-0.0003

 

(0.002)

(0.002)

(0.002)

(0.002)

(0.002)

(0.002)

Trend

-0.013**

-0.0001

-0.013**

-0.001

-0.017***

-0.009

 

(0.005)

(0.006)

(0.005)

(0.006)

(0.005)

(0.006)

Male

0.144***

0.221***

0.141***

0.221***

0.132***

0.214***

 

(0.036)

(0.073)

(0.034)

(0.060)

(0.033)

(0.063)

Married

0.029

0.008

0.025

0.002

0.001

0.042

 

(0.038)

(0.043)

(0.038)

(0.041)

(0.037)

(0.051)

Separated

0.169***

0.066

0.164***

0.064

0.150***

0.099**

 

(0.049)

(0.048)

(0.049)

(0.050)

(0.047)

(0.049)

Less seconday

0.177***

0.059

0.177***

0.048

0.160***

0.030

 

(0.043)

(0.044)

(0.043)

(0.044)

(0.044)

(0.050)

Secondary

0.028

0.056

0.024

0.052

0.009

0.052

 

(0.042)

(0.052)

(0.042)

(0.051)

(0.042)

(0.057)

Post secondary

-0.102***

0.043

-0.104***

0.036

-0.096***

0.037

 

(0.037)

(0.042)

(0.037)

(0.041)

(0.036)

(0.045)

Age 30-44

0.261***

0.234***

0.265***

0.230***

0.271***

0.212***

 

(0.039)

(0.058)

(0.039)

(0.048)

(0.039)

(0.055)

Age 45-65

0.385***

0.322***

0.389***

0.321***

0.392***

0.281***

 

(0.045)

(0.051)

(0.045)

(0.049)

(0.045)

(0.057)

Low income

0.048

0.063

0.051

0.043

0.015

0.048

 

(0.048)

(0.075)

(0.048)

(0.076)

(0.049)

(0.079)

Low middle income

0.072**

0.020

0.081***

0.020

0.057*

0.017

 

(0.031)

(0.028)

(0.031)

(0.028)

(0.030)

(0.029)

High income

-0.085***

-0.023

-0.078**

-0.031

-0.057*

-0.018

 

(0.031)

(0.030)

(0.031)

(0.029)

(0.030)

(0.036)

Household size

-0.011

-0.003

-0.011

-0.003

-0.008

-0.006

 

(0.012)

(0.011)

(0.012)

(0.011)

(0.012)

(0.011)

Immigrant

-0.296***

-0.008

-0.300***

-0.024

-0.273***

-0.057

 

(0.057)

(0.109)

(0.058)

(0.102)

(0.061)

(0.089)

Partial ban

-0.103***

-0.100***

-0.106***

-0.100***

-0.102***

-0.081**

 

(0.035)

(0.031)

(0.036)

(0.031)

(0.036)

(0.036)

Full ban

-0.250***

-0.137***

-0.255***

-0.148***

-0.244***

-0.141***

 

(0.037)

(0.045)

(0.038)

(0.039)

(0.038)

(0.048)

Social support

  

0.007

0.015**

0.004

0.011

   

(0.006)

(0.006)

(0.006)

(0.006)

HUI

    

-0.274***

-0.224*

     

(0.091)

(0.124)

Newfoundland

    

0.044

0.006

     

(0.089)

(0.162)

Prince Edward

    

0.119

0.128

     

(0.075)

(0.118)

Nova Scotia

    

0.011

0.147

     

(0.077)

(0.102)

New Brunswick

    

0.209***

-0.002

     

(0.079)

(0.130)

Quebec

    

0.076

0.215**

     

(0.067)

(0.105)

Ontario

    

0.010

0.127

     

(0.065)

(0.110)

Manitoba

    

-0.018

0.174

     

(0.080)

(0.130)

Saskatchewan

    

0.075

0.070

     

(0.076)

(0.113)

Alberta

    

0.063

0.059

     

(0.066)

(0.112)

Mechanical

    

0.019

-0.059

     

(0.069)

(0.050)

Trade

    

0.014

-0.018

     

(0.060)

(0.051)

Professional

    

-0.090

-0.034

     

(0.071)

(0.071)

Managerial

    

-0.081

0.050

     

(0.066)

(0.057)

Health

    

-0.076

0.026

     

(0.072)

(0.097)

Service

    

-0.001

-0.016

     

(0.064)

(0.056)

Constant

2.340***

2.766***

2.315***

2.711***

2.533***

2.770***

 

(0.078)

(0.101)

(0.086)

(0.102)

(0.152)

(0.211)

Ï€1

0.729

(0.056)

0.271

0.722

(0.044)

0.278

0.746

(0.056)

0.254

Observations

7880

7880

7763

7763

7696

7696

  1. Robust standard errors in parentheses; π1 stands for the probability that an observation is in comp1; *** p < 0.01, ** p < 0.05, * p < 0.1. Model 1 presents the baseline specification. An additional covariate, workplace social support, is added in model 2. In model 3, we add individual's health status (HUI), province of residence and occupational fixed effects.