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Table 2 Multilevel linear regression results for the association between individual socioeconomic position and neighbourhood disadvantage on mental well-being

From: Individual socioeconomic position, neighbourhood disadvantage and mental well-being: a cross-sectional multilevel analysis of mid-age adults

N = 6721 Model 1 Model 2
N = 200 neighbourhoods β (95%CI) β (95%CI)
Individual-level SEP
 Education   
  Bachelor’s degree and abovea Ref Ref
  Diploma/associate degree 0.03 (−0.63, 0.68) 0.04 (−0.62, 0.70)
  Certificate (trade/business) 0.01 (−0.60, 0.60) 0.05 (−0.55, 0.65)
  No post-school qualification −1.29 (−1.80, − 0.78) −1.22 (−1.74, − 0.71)
 Occupationb   
  Manager/professionala Ref Ref
  White collar −0.44 (− 1.02, 0.15) − 0.43 (− 1.03, 0.15)
  Blue collar − 0.25 (− 0.95, 0.44) −0.19 (− 0.89, 0.50)
  Home duties − 0.13 (− 1.04, 0.77) −0.15 (− 1.05, 0.76)
  Retired 0.73 (− 0.02, 1.49) 0.73 (− 0.03, 1.50)
  Permanently unable to work −5.62 (−7.02, −4.23) −5.50 (−6.90, −4.10)
  Unemployed −2.66 (−4.16, − 1.16) −2.62 (−4.12, − 1.13)
 Annual household income   
  A$130,000 +a Ref Ref
  A$72,800–129,999 − 1.07 (− 1.65, − 0.49) − 1.02 (− 1.60, − 0.43)
  A$52,000–72,799 −2.36 (−3.05, − 1.68) −2.25 (− 2.94, − 1.56)
  A$26,000–51,599 −2.41 (−3.09, − 1.73) −2.27 (− 2.96, − 1.58)
 Less than A$25,999 −3.99 (− 4.80, − 3.18) −3.77 (− 4.59, − 2.94)
Neighbourhood disadvantage   
 Q1 (Least disadvantaged)a   Ref
 Q2   0.07 (− 0.51, 0.65)
 Q3   − 0.28 (− 0.87, 0.31)
 Q4   −0.26 (− 0.87, 0.34)
 Q5 (Most disadvantaged)   −0.96 (−1.66, − 0.28)
  1. Notes: Australian dollar (A$). Boldface indicates statistical significance (p < 0.05); Model 1: education, occupation, and income adjusted for age and sex; Model 2: neighbourhood disadvantage, education, occupation, and income adjusted for age, sex
  2. aReference category
  3. bNot easily classified category included in analysis, but not reported in the table