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Table 4 Results of structural equation models with change in BMI as outcome

From: Associations between local descriptive norms for overweight/obesity and insufficient fruit intake, individual-level diet, and 10-year change in body mass index and glycosylated haemoglobin in an Australian cohort

LDN: Overweight/obesity N  = 1630

Unadjusted models

Adjusted models a

Fruit serves (log transformed)

Estimate

95% CI

P value

Estimate

95% CI

P value

 ΔBMI on LDN (overweight/obesity)

0.029

0.014 to 0.045

0.000

0.020

0.004 to 0.036

0.012

 ΔBMI on fruit intake(log)

−0.077

− 0.125 to − 0.029

0.002

−0.029

− 0.074 to 0.015

0.198

 Fruit intake(log)on LDN (overweight/obesity)

−0.017

−0.039 to 0.005

0.125

−0.018

− 0.040 to 0.004

0.114

 Indirect effect *100

0.134

−0.043 to 0.311

0.139

0.052

−0.070 to 0.145

0.274

 Total effect *100

3.060

1.507 to 4.613

0.000

2.060

0.503 to 3.616

0.010

 Model fit

–

AIC 19,825.589

BICadj 19,856.662

–

AIC 19,569.671

BIC adj 19,631.817

Vegetable serves (log transformed)

 ΔBMI on LDN (overweight/obesity)

0.030

0.015 to 0.046

0.000

0.020

0.004 to 0.036

0.012

 ΔBMI on vegetable intake(log)

−0.054

−0.098 to − 0.009

0.017

−0.023

−0.064 to 0.019

0.290

 Vegetable intake(log)on LDN (overweight/obesity)

−0.004

−0.025 to 0.018

0.734

−0.004

− 0.026 to 0.017

0.714

 Indirect effect *100

0.020

−0.093 to 0.134

0.728

0.009

−0.039 to 0.057

0.710

 Total effect *100

3.058

1.500 to 4.617

0.000

2.019

0.436 to 3.601

0.012

 Model fit

–

AIC 19,820.205

BICadj 19,851.278

–

AIC 19,557.197

BIC adj 19,619.343

Sugary Drink Intake (0 v > 0)

 ΔBMI on LDN (overweight/obesity)

0.028

0.012 to 0.043

0.000

0.019

0.004 to 0.034

0.015

 ΔBMI on sugary drink intake

0.088

0.055 to 0.122

0.000

0.044

0.011 to 0.077

0.009

 Sugary drink intake on LDN (overweight/obesity)

0.030

0.003 to 0.057

0.030

0.030

0.003 to 0.058

0.028

 Indirect effect *100

0.266

−0.011 to 0.544

0.060

0.134

−0.035 to 0.303

0.119

 Total effect *100

3.054

1.503 to 4.604

0.000

2.054

0.486 to 3.622

0.010

 Model fit

–

AIC 20,356.077

BICadj 20,387.150

–

AIC 20,105.682

BIC adj 20,167.828

LDN: Insufficient fruit intake N = 1673

Unadjusted models

Adjusted models a

Fruit serves (log transformed)

Estimate

95% CI

P value

Estimate

95% CI

P value

 ΔBMI on LDN (insufficient fruit intake)

0.010

− 0.003 to 0.023

0.118

0.001

−0.009 to 0.017

0.546

 ΔBMI on Fruit intake(log)

−0.080

−0.127 to − 0.033

0.001

−0.032

− 0.076 to 0.013

0.161

 Fruit intake(log) on LDN (insufficient fruit intake)

−0.026

−0.048 to − 0.005

0.015

−0.027

− 0.048 to − 0.006

0.012

 Indirect effect *100

0.213

0.024 to 0.401

0.027

0.086

−0.039 to 0.212

0.178

 Total effect *100

1.236

−0.084 to 2.556

0.066

0.485

−0.826 to 1.796

0.469

 Model fit

–

AIC 20,345.591

BICadj 20,377.028

–

AIC 20,083.362

BIC adj 20,146.237

Vegetable serves (log transformed)

 ΔBMI on LDN (insufficient fruit intake)

0.012

−0.001 to 0.026

0.079

0.005

−0.009 to 0.018

0.502

 ΔBMI on vegetable intake(log)

−0.059

−0.098 to − 0.013

0.007

−0.026

− 0.066 to 0.015

0.216

 Vegetable intake(log)on LDN (insufficient fruit intake)

−0.005

−0.028 to 0.020

0.693

−0.006

− 0.030 to 0.019

0.662

 Indirect effect *100

0.029

−0.111 to 0.153

0.767

0.014

−0.048 to 0.077

0.910

 Total effect *100

1.242

−0.039 to 2.623

0.067

0.468

−0.846 to 1.783

0.485

 Model fit

–

AIC 20,352.891

BICadj 20,384.328

–

AIC 20,084.015

BIC adj 20,146.889

Sugary Drink Intake (0 v > 0)

 ΔBMI on LDN (insufficient fruit intake)

0.011

−0.002 to 0.024

0.098

0.004

−0.009 to 0.017

0.503

 ΔBMI on sugary drink intake

0.087

0.054 to 0.121

0.000

0.041

0.008 to 0.075

0.016

 Sugary drink intake on LDN (insufficient fruit intake)

0.017

−0.007 to 0.041

0.157

0.018

−0.006 to 0.042

0.141

 Indirect effect *100

0.150

−0.065 to 0.365

0.172

0.074

−0.424 to 0.191

0.211

 Total effect *100

1.270

−0.054 to 2.594

0.060

0.517

−0.790 to 1.823

0.438

 Model fit

–

AIC 20,903.070

BICadj 20,934.507

–

AIC 20,644.999

BIC adj 20,707.873

  1. Numbers in bold are all statistically significant with p values
  2. aAdjusted area-level income and individual-level age, sex, employment status, education, marital status, and smoking status; Abbreviations: AIC Akaiki’s Information Criterion, BIC adj sample size adjusted Bayesian Information Criterion, BMI body mass index, CI confidence interval, LDN local descriptive norm