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Table 2 Probability of determinants on reporting health outcome variables

From: Measuring and decomposing inequity in self-reported morbidity and self-assessed health in Thailand

Determinants Recent illness Chronic illness Hospital admission Health compared to a year ago Health compared to peers
Demographic characteristics      
   Age-sex      
Males aged 30–44 0.058*** 0.108*** 0.012 0.135*** 0.080***
Males aged 45–59 0.146*** 0.230*** 0.019* 0.270*** 0.112***
Males aged 60+ 0.302*** 0.470*** 0.083*** 0.503*** 0.243***
Females aged 15–29 0.062*** 0.064** -0.014 0.059** 0.024
Females aged 30–44 0.161*** 0.212*** 0.001 0.179*** 0.114***
Females aged 45–59 0.245*** 0.372*** 0.026* 0.325*** 0.176***
Females aged 60+ 0.403*** 0.554*** 0.078*** 0.559*** 0.289***
   Household type      
One-person male household 0.067** 0.033 -0.005 0.015 0.018
One-person female household 0.087*** 0.017 -0.002 0.007 0.006
Household with children (no elderly) -0.012 0.009 -0.008 -0.001 -0.005
Household with elderly -0.037** -0.008 -0.011* -0.042*** -0.028**
Household with dependents only -0.020 -0.009 -0.017* -0.039** -0.024*
Socioeconomic characteristics      
   Income      
Income quintile 1 – lowest 20% 0.031* -0.010 0.004 0.054*** 0.048***
Income quintile 2 – lower 20% 0.032* -0.020 0.006 0.031* 0.020
Income quintile 3 – middle 20% 0.001 -0.016 0.002 0.015 0.014
Income quintile 4 – higher 20% 0.018 -0.020 -0.001 0.018 0.007
   Education      
Education: primary level 0.052*** 0.069*** 0.001 0.072*** 0.059***
Education: secondary level 0.015 0.017 -0.007 0.000 0.013
   Work status      
Work: agriculture and fishery -0.009 -0.021* -0.006 -0.004 -0.016*
Work: elementary occupation -0.029* -0.017 0.001 0.002 0.009
Not in workforce: housewife -0.033* -0.003 0.002 -0.009 0.000
Not in workforce: disabled 0.250*** 0.451*** 0.154*** 0.292*** 0.532***
Not in workforce: others -0.010 0.012 0.017** 0.017 0.015
Geographic characteristics      
Bangkok 0.016 0.019 -0.027*** -0.010 0.013
Rural Central 0.041* 0.042** -0.005 0.011 0.015
Urban North 0.112*** 0.078*** 0.008 0.006 0.024*
Rural North 0.142*** 0.108*** 0.011 0.006 0.041**
Urban Northeast 0.004 0.031* 0.007 0.029 0.048***
Rural Northeast 0.039* 0.042** 0.001 0.035* 0.050***
Urban South 0.063** 0.075*** -0.003 0.058** 0.046**
Rural South 0.079*** 0.039* -0.004 0.055** 0.041**
  1. Note: The marginal effects demonstrate associations between determinants and health outcomes. Those with positive signs indicate positive associations with the probability of reporting a health outcome, while those with negative signs indicate negative associations. In addition, the larger the absolute value of a marginal effect, more substantial is the association. Statistically significant estimates of marginal effects are highlighted (*p < 0.05, **p < 0.01, ***p < 0.001). Reference groups were males aged 15–29; household with no dependent; income quintile 5; work status: others including professionals, technicians, or service workers; and urban Central excluding Bangkok. Elementary occupation includes the likes of street vendors, domestics, and non-agricultural labourers.
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