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Table 5 Hierarchical linear regression analysis of predictors of F&V intake adjusted for demographic and lifestyle factors a, b, c

From: Quantifying the relationship between gardening and health and well-being in the UK: a survey during the covid-19 pandemic

Predictor variables (reference)

Model 1

Model 2

Model 3

Model 4

B (SE)

p

B (SE)

p

B (SE)

p

B (SE)

p

Constant

4.54 (0.32)

< 0.001

4.54 (0.32)

< 0.001

4.08 (0.35)

< 0.001

3.99 (0.41)

< 0.001

Gender (Female)

        

 Male

-0.10 (0.33)

0.77

-0.10 (0.33)

0.77

0.27 (0.33)

0.41

0.15 (0.33)

0.65

Age (18–34)

        

 35–54

1.16 (0.40)

< 0.01

1.16 (0.40)

< 0.01

1.24 (0.39)

< 0.05

1.02 (0.41)

< 0.05

 55+

1.60 (0.38)

< 0.001

1.60 (0.38)

< 0.001

1.73 (0.37)

< 0.001

1.16 (0.46)

< 0.05

Alcohol consumption (Low risk)

        

 Increasing risk

    

-0.84 (0.35)

< 0.05

-0.85 (0.36)

< 0.05

Diet (Meat-eater)

        

 Flexitarian

    

0.90 (0.33)

< 0.01

0.88 (0.34)

< 0.05

 Pescatarian

    

1.82 (0.67)

< 0.01

1.87 (0.67)

< 0.01

 Vegetarian

    

0.62 (0.44)

0.16

0.63 (0.45)

0.16

 Vegan

    

1.00 (0.64)

0.12

0.98 (0.65)

0.13

Weekly gardening time (0 h)

        

 1–5 h

      

-0.94 (0.51)

0.06

 6–10 h

      

-0.51 (0.60)

0.40

 11 + hours

      

-0.44 (0.62)

0.47

Food growing level (No food grown)

        

 1 (very little F&V)

      

0.61 (0.56)

0.28

 2

      

1.22 (0.62)

0.05

 3

      

1.21 (0.58)

< 0.05

 4

      

1.68 (0.69)

< 0.05

 5 (nearly self-sufficient in F&V)

      

1.28 (0.67)

0.06

R2

0.09

0.09

0.19

0.24

Adjusted R2

0.07

0.07

0.15

0.17

  1. a Model 1: adjusted for age and gender; Model 2: adjusted for sociodemographic variables; Model 3: adjusted for sociodemographic variables and health risk and relevant lifestyle factors; Model 4: adjusted for sociodemographic variables, health risk and relevant lifestyle factors and variables related to gardening
  2. b Predictors and regression coefficients in the table are derived from the best fit model for the outcome based on the Bayesian Information Criterion (BIC). Other explanatory variables tested include neighbourhood deprivation, household income, household composition, caring responsibilities, having higher education, smoking status, physical activity level, long-term health conditions, and having an allotment, but these were dropped in the process of improving model fit
  3. c Figures in bold are statistically significant at the 5% level (p < 0.05)