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Table 5 Evaluation continuous variables and categorical variables across the quartiles of the AHEI

From: The interaction between CRY1 Polymorphism and Alternative Healthy Eating Index (AHEI) on cardiovascular risk factors in overweight women and women with obesity: a cross-sectional study

AHEI

Q1

(N = 72)

Mean ± SD

Q2

(N = 73)

Mean ± SD

Q3

(N = 73)

Mean ± SD

Q4

(N = 73)

Mean ± SD

P-value

P-value*

Demography

 Age (year)

34.62 ± 8.92

36.93 ± 8.58

36.87 ± 8.89

37.63 ± 7.45

0.16

0.05**

 Weight(kg)

79.09 ± 12.35

79.81 ± 11.95

84.70 ± 13.60

79.19 ± 10.04

0.01

0.63a

 Height(cm)

162.23 ± 6.45

160.73 ± 5.47

161.43 ± 5.99

160.75 ± 5.75

0.37

0.50

 Physical activity(MET)

770.57 ± 806.18

1142.89 ± 1728.47

1394.50 ± 2591.67

1470.54 ± 2649.21

0.24

0.04**

Body composition

 BMI(kg/m2)

30.19 ± 4.32

30.87 ± 4.36

32.38 ± 4.74

30.73 ± 3.57

0.01

0.47**

 Fat percentage %

41.04 ± 5.19

41.74 ± 5.50

41.74 ± 6.48

41.53 ± 4.91

0.86

0.26a

 BFM(kg)

33.06 ± 8.56

33.58 ± 8.77

36.11 ± 9.88

33.25 ± 7.06

0.11

0.06a

 FFM(kg)

46.52 ± 5.71

45.94 ± 5.21

48.39 ± 5.77

46.25 ± 5.37

0.03

0.66a

 SMM(kg)

25.49 ± 3.35

25.15 ± 3.06

26.63 ± 3.39

25.44 ± 3.25

0.03

0.50a

 WHR

2.21 ± 10.80

0.92 ± 0.05

0.94 ± 0.05

0.92 ± 0.05

0.38

0.37a

 WC(cm)

97.75 ± 9.55

98.04 ± 10.15

102.09 ± 10.94

97.93 ± 8.93

0.02

0.51a

 FFMI

17.59 ± 1.47

17.80 ± 1.44

20.35 ± 15.30

17.86 ± 1.44

0.10

0.56a

 FMI

12.59 ± 3.27

13.06 ± 3.44

13.93 ± 3.78

13.03 ± 2.96

0.12

0.48a

Blood parameters

 Cholesterol(mg/dl)

179.63 ± 40.73

184.74 ± 33.75

191.04 ± 38.04

184.84 ± 32.54

0.40

0.84

 TG(mg/dl)

106.57 ± 54.49

123.50 ± 69.76

135.63 ± 72.22

123.04 ± 79.78

0.16

0.21

 HDL(mg/dl)

46.00 ± 10.68

47.04 ± 10.62

47.34 ± 12.25

46.78 ± 9.97

0.92

0.59

 LDL(mg/dl)

89.03 ± 26.83

95.56 ± 22.42

100.16 ± 23.84

94.96 ± 23.07

0.09

0.39

 AST(mg/dl)

16.78 ± 6.35

17.53 ± 5.71

20.01 ± 10.03

16.92 ± 6.27

0.05

0.25

 ALT(mg/dl)

17.68 ± 11.38

18.01 ± 9.20

22.86 ± 17.79

18.06 ± 11.60

0.08

0.37

 FBS(mg/dl)

87.80 ± 8.64

86.88 ± 12.19

87.85 ± 9.74

87.46 ± 7.56

0.94

0.35

 Insulin(mIU/dl)

1.22 ± 0.21

1.25 ± 0.26

1.24 + 0.25

1.22 ± 0.10

0.85

0.73

 HOMAIR index

3.06 ± 1.07

3.26 ± 1.53

3.45 + 1.52

4.03 ± 1.24

0.44

0.54

Blood pressure

 SBP (mmHg)

108.97 ± 13.43

109.87 ± 12.15

117.36 ± 13.20

110.63 ± 14.83

0.001

0.38

 DBP (mmHg)

75.95 ± 9.39

78.36 ± 8.19

80.44 ± 9.15

76.39 ± 11.10

0.02

0.80

 Pulse

80.49 ± 9.24

80.88 ± 9.63

80.19 + 12.80

77.51 ± 10.36

0.26

0.14

Marital status

 Single

34.4%

21.9%

21.9%

21.9%

0.23

0.33

 Married

21.8%

26.2%

26.2%

25.8%

Education

 Illiterate

33.3%

0.0%

66.7%

0.0%

0.21

0.92

 Diploma

12.5%

25.00%

35.00%

27.5%

 University

26.4%

25.6%

23.2%

24.8%

Economy

 Low

6.7%

26.7%

26.7%

40.0%

0.18

0.16

 Moderate

25.4%

30.0%

23.8%

20.8%

 Good

27.8%

20.4%

26.9%

25.0%

 Very good

44.4%

22.2%

22.2%

11.1%

Occupation

 Unemployed

24.6%

24.1%

27.2%

24.1%

0.77

0.95

 Employed

24.5%

28.7%

22.3%

24.5%

History of weight loos

 Yes

25.2%

25.2%

27.2%

22.5%

0.79

0.70

 No

25.6%

25.6%

22.6%

26.3%

History of family obesity

 Yes

26.1%

24.8%

24.3%

24.8%

0.86

0.55

 No

22.2%

27.8%

27.8%

22.2%

  1. Variables is presented by mean+SD for continuous variables and frequency for categorical variables
  2. Abbreviations: SD Standard deviation, BMI Body mass index, TG Triglyceride, LDL Low density lipoprotein, HDL High density lipoprotein, AST Aspartate aminotransferase, ALT Alanine aminotransferase, FBS Fasting blood sugar, SBP Systolic blood pressure, DBP Diastolic Blood Pressure, BFM Body fat mass, FFM Fat free mass, SMM Skeletal muscle mass, WC Waist circumference, WHR Waist height ratio, FMI Fat mass index, FFMI Fat free mass index
  3. P values resulted from the analysis of one-way ANOVA for continuous variables and chi-square test for categorical variables. We also performed a Tukey test to compare each genotype with other types for continuous variables
  4. *P-valueis found by ANCOVA and adjusted for age, BMI, physical activity, and total energy intake.7
  5. ** Put out the collinear variable from the GLM as confounders
  6. aBMI considered as collinear and this variable adjusted for Age, physical activity, and total energy intake