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Table 4 Multiple Linear Regression analysis of the associations between dietary scores and markers of inflammation

From: The association between dietary quality scores with C-reactive protein and novel biomarkers of inflammation platelet-activating factor and lipoprotein-associated phospholipase A2: a cross-sectional study

 

DASH Index

Dairy-adjusted DASH Index

Vegetarian Lifestyle Indexa

HEIFA

MEDAS

erMedDiet score

 

β

P

β

P

β

P

β

P

β

P

β

P

LogPAF

            

Model 1

0.047

0.413

0.052

0.374

0.069

0.238

0.086

0.138

0.108

0.280

0.037

0.524

Model 2

0.029

0.624

0.032

0.596

0.007

0.919

0.066

0.273

− 0.002

0.967

0.041

0.469

Lp-PLA2

            

Model 1

− 0.126

0.194

− 0.127

0.194

− 0.161

0.105

− 0.008

0.927

− 0.064

0.513

− 0.091

0.349

Model 2

− 0.068

0.515

− 0.066

0.528

− 0.085

0.481

0.064

0.542

− 0.005

0.963

− 0.061

0.536

LogCRP

            

Model 1

− 0.352

 < 0.001

− 0.362

 < 0.001

− 0.394

 < 0.001

− 0.216

0.030

− 0.245

0.013

− 0.178

0.072

Exp of βb 

0.703

–

0.696

–

0.674

–

0.806

-

0.783

–

0.837

–

Model 2

− 0.166

0.036

− 0.168

0.035

− 0.033

0.725

− 0.010

0.904

− 0.052

0.512

− 0.097

0.203

  1. Model 1: adjusted for age, gender and year of data collection. Model 2: adjusted for age, gender, year of data collection, physical activity, waist circumference, and risk of CVD
  2. aModel 2 was adjusted for age, gender, year of data collection, waist circumference and risk of CVD as physical activity was assessed within the score
  3. b Exponentiation of β coefficient; Abbreviations: DASH, Dietary Approach to Stop Hypertension; erMedDIET, Predimed-Plus Diet Score; HEIFA, Healthy Eating Index for Australian Adults; Lp-PLA2, lipoprotein-associated phospholipase A2; MEDAS, Mediterranean Diet Adherence Screener; PAF, platelet activating factor
  4. Bold values indicate statistical significance at p < .05