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. 2024 May 13;19(5):e0303349. doi: 10.1371/journal.pone.0303349

Table 4. Logistic regression models–Having learnt to practice mindfulness (2018 and 2021).

Bivariate Model 1 Model 2
VARIABLES Coef Se Coef Se Coef Se
Gender (Male)
Female -0.08 (0.16) 0.04 (0.17) 0.04 (0.17)
Age (55 or more)
18–34 1.31*** (0.25) 0.98** (0.32) 0.91** (0.32)
35–55 0.96*** (0.25) 0.66* (0.31) 0.61* (0.31)
Region (Midlands)
Scotland 0.18 (0.29) 0.36 (0.30) 0.34 (0.33)
Wales -0.63 (0.35) -0.58 (0.37) -0.58 (0.39)
London 0.67** (0.25) 0.60* (0.26) 0.61* (0.26)
North -0.35 (0.25) -0.24 (0.25) -0.22 (0.25)
South 0.14 (0.25) 0.28 (0.26) 0.31 (0.26)
Education (Degree)
No Degree -0.27 (0.15) -0.06 (0.17) -0.05 (0.18)
Marital Status (Married)
Not Married 0.16 (0.17) -0.16 (0.20) -0.21 (0.19)
Family Composition (No Children under 18)
Children under 18 0.57*** (0.17) 0.29 (0.18) 0.25 (0.18)
Employment Status (Working)
Unemployed -0.03 (0.26) -0.05 (0.27) -0.12 (0.28)
Retired -1.24*** (0.28) -0.52 (0.40) -0.56 (0.39)
Student 0.63 (0.38) 0.42 (0.38) 0.39 (0.39)
Stay-at-home parent/housekeeper -0.71 (0.40) -0.72 (0.40) -0.74* (0.37)
Household Income (£28,000 or less)
£28,001-£55,000 -0.03 (0.18) -0.17 (0.19) -0.15 (0.19)
£55,001 or more 0.16 (0.23) -0.15 (0.25) -0.12 (0.25)
Survey year (2018)
2021 0.08 (0.16) 0.08 (0.16) 0.09 (0.16)
2017 and 2019 General Elections (Conservative)
Labour 0.57** (0.20) ….. ….. 0.41 (0.22)
Liberal Democrats 0.80* (0.38) ….. ….. 0.87* (0.44)
Other 0.82** (0.26) ….. ….. 0.58 (0.30)
Did not vote 0.95*** (0.21) ….. ….. 0.55 (0.29)
2016 Brexit Referendum (Leave)
Remain 0.10 (0.18) ….. ….. -0.33 (0.19)
Did not vote 0.42 (0.23) ….. ….. -0.18 (0.29)
Observations 2,872 2,872 2,872
Pseudo R2 ….. 0.0642 0.0737
Intercept ….. -1.97 -2.15

Robust standard errors in parentheses

*** p≤0.001

** p≤0.01

* p≤0.05

Note: The bivariate analyses regress the dependent variable on a single predictor (including categorical predictor variables). Although the coefficients from these models are shown in one column, they come from separate regressions. The 2021 dataset was combined with the 2018 dataset and survey year was controlled for in the multiple logistic regressions. See S1 File for additional analyses.