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Table 2 Regression models for the association of parental SES (NS-SEC) with five different measures of education (n = 6703)

From: Education mediates the relationship of parental socioeconomic status with subjective adult oral health

 

Type of high school

Age left full-time education

 

Grammar versus Comprehensive

Secondary Modern vs Comprehensive

Private vs Comprehensive

Special needs vs Comprehensive

 

OR [95% CI]

OR [95% CI]

OR [95% CI]

OR [95% CI]

Coef. [95% CI]

Higher managerial

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

0.00 [Reference]

Lower managerial

0.62 [0.44, 0.88]*

1.01 [0.69, 1.47]

0.46 [0.35, 0.59]*

2.48 [0.52, 11.72]

-0.72 [-0.96, -0.48]*

Intermediate

0.50 [0.35, 0.73]*

1.19 [0.82, 1.74]

0.24 [0.17, 0.33]*

2.25 [0.47, 10.87]

-1.63 [-1.88, -1.38]*

Small employers

0.19 [0.10, 0.36]*

1.40 [0.94, 2.11]

0.24 [0.16, 0.35]*

1.10 [0.15, 7.86]

-2.05 [-2.34, -1.77]*

Lower supervisory

0.35 [0.22, 0.56]*

1.36 [0.91, 2.02]

0.12 [0.08, 0.20]*

2.78 [0.56, 13.84]

-2.32 [-2.60, -2.04]*

Semi-routine

0.23 [0.14, 0.39]*

1.60 [1.11, 2.32]*

0.10 [0.06, 0.15]*

3.38 [0.73, 15.74]

-2.53 [-2.79, -2.27]*

Routine

0.22 [0.13, 0.39]*

1.12 [0.74, 1.69]

0.04 [0.02, 0.08]*

3.81 [0.80, 18.05]

-2.74 [-3.02, -2.46]*

 

Highest qualification

 

NVQ1 level vs None

NVQ2 level vs None

NVQ3 level vs None

NVQ4 level vs None

NVQ5 level vs None

 

OR [95% CI]

OR [95% CI]

OR [95% CI]

OR [95% CI]

OR [95% CI]

Higher managerial

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

Lower managerial

0.91 [0.52, 1.58]

1.09 [0.73, 1.64]

0.79 [0.52, 1.20]

0.67 [0.46, 0.98]*

0.62 [0.41, 0.94]*

Intermediate

1.57 [0.90, 2.74]

1.61 [1.05, 2.46]*

1.00 [0.65, 1.55]

0.74 [0.50, 1.09]

0.52 [0.33, 0.82]*

Small employers

1.20 [0.68, 2.13]

1.06 [0.68, 1.63]

0.75 [0.48, 1.17]

0.37 [0.24, 0.55]*

0.23 [0.14, 0.37]*

Lower supervisory

1.06 [0.61, 1.84]

0.93 [0.61, 1.41]

0.64 [0.42, 0.98]*

0.32 [0.22, 0.47]*

0.14 [0.08, 0.23]*

Semi-routine

1.30 [0.78, 2.17]

0.80 [0.54, 1.19]

0.42 [0.28, 0.63]*

0.23 [0.16, 0.32]*

0.10 [0.06, 0.17]*

Routine

1.08 [0.63, 1.83]

0.73 [0.49, 1.10]

0.42 [0.27, 0.64]*

0.20 [0.13, 0.29]*

0.09 [0.05, 0.15]*

 

Status of institution

Field of study

 

Normal status vs No degree

Higher status vs No degree

STEM vs No degree

LEM vs No degree

OSSAH vs No degree

 

OR [95% CI]

OR [95% CI]

OR [95% CI]

OR [95% CI]

OR [95% CI]

Higher managerial

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

1.00 [Reference]

Lower managerial

0.70 [0.57, 0.85]*

0.53 [0.41, 0.68]*

0.58 [0.46, 0.73]*

0.70 [0.51, 0.97]*

0.68 [0.52, 0.87]*

Intermediate

0.47 [0.38, 0.58]*

0.29 [0.21, 0.39]*

0.40 [0.32, 0.51]*

0.42 [0.30, 0.61]*

0.38 [0.29, 0.51]*

Small employers

0.34 [0.26, 0.44]*

0.15 [0.10, 0.23]*

0.26 [0.19, 0.36]*

0.32 [0.20, 0.50]*

0.25 [0.17, 0.36]*

Lower supervisory

0.28 [0.22, 0.36]*

0.15 [0.10, 0.22]*

0.22 [0.16, 0.30]*

0.30 [0.20, 0.47]*

0.21 [0.14, 0.31]*

Semi-routine

0.24 [0.19, 0.31]*

0.11 [0.08, 0.17]*

0.20 [0.15, 0.27]*

0.23 [0.15, 0.35]*

0.17 [0.12, 0.24]*

Routine

0.22 [0.17, 0.30]*

0.08 [0.05, 0.14]*

0.20 [0.14, 0.27]*

0.16 [0.09, 0.27]*

0.15 [0.09, 0.22]*

  1. NS-SEC National statistics socioeconomic classification
  2. Multinomial logistic regression was fitted for categorical measures of education (school type at age 16, highest qualification, institution status and field of study) Odds ratios (OR) were reported
  3. Linear regression was fitted for numerical measures of education (age left full-time education). Unstandardized regression coefficients (Coef.) were reported
  4. All estimates were adjusted for confounders (sex, ethnicity, country of residence and residence area)
  5. *p < 0.05