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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