Nutrient patterns and cardiometabolic risk factors among Iranian adults: Tehran lipid and glucose study

Mottaghian, Mohammad; Salehi, Pantea; Teymoori, Farshad; Mirmiran, Parvin; Hosseini-Esfahani, Firoozeh; Azizi, Fereidoun

doi:10.1186/s12889-020-08767-6

BMC Public Health

Table 5 Multiple linear regression analysis evaluating the association between each quartile increase of nutrient patterns and changes in lipid profile after three years of follow up in 1637 participants of the Tehran Lipid and Glucose Study

From: Nutrient patterns and cardiometabolic risk factors among Iranian adults: Tehran lipid and glucose study

	Triglyceride changes		HDL-cholesterol changes		LDL-cholesterol changes		Total cholesterol
	β^a(95% CI)	P value	β^a(95% CI)	P value	β^a(95% CI)	P value	β^a(95% CI)	P value
Pattern 1
Model1^b	− 1.16 (− 4.02, 1.69)	0.425	− 0.11 (− 0.43, − 0.19)	0.471	− 0.45 (− 1.59, 0.68)	0.436	− 0.98 (− 2.25, 0.29)	0.131
Model2^c	− 1.24 (− 4.11, 1.62)	0.395	− 0.11 (− 0.42, − 0.20)	0.491	− 0.30 (− 1.45, 0.83)	0.601	− 0.85 (− 2.13, 0.42)	0.192
Model3^d	− 1.28 (− 4.17, 1.65)	0.382	− 0.11 (− 0.43, − 0.20)	0.476	− 0.28 (− 1.43, 0.86)	0.627	− 0.86 (− 2.15, 0.42)	0.191
Pattern 2
Model1^b	1.37 (− 1.47, 4.22)	0.343	0.02 (− 0.28, 0.33)	0.871	0.71 (−0.42, 1.84)	0.218	0.84 (−0.42, 2.11)	0.191
Model2^c	1.46 (−1.38, 4.30)	0.314	0.02 (−0.29, 0.33)	0.898	0.76 (−0.37, 1.89)	0.187	0.88 (−0.38, 2.15)	0.172
Model3^d	1.77 (−1.12, 4.66)	0.231	0.07 (−0.24, 0.39)	0.661	0.62 (−0.52, 1.78)	0.286	0.85 (−0.44, 2.15)	0.195
Pattern 3
Model1^b	−0.29 (−3.16, 2.57)	0.839	−0.12 (− 0.43, 0.19)	0.454	0.27 (− 0.86, 1.41)	0.637	−0.03 (−1.31, 1.24)	0.957
Model2^c	−0.32 (− 0.319, 2.54)	0.825	− 0.11 (− 0.43, 0.19)	0.471	0.26 (− 0.87, 1.40)	0.647	−0.05 (− 1.33, 1.22)	0.937
Model3^d	−0.36 (− 3.23, 2.50)	0.802	− 0.12 (− 0.44, 0.18)	0.430	0.29 (− 0.84, 1.44)	0.607	−0.03 (− 1.31, 1.24)	0.957
Pattern 4
Model1^b	0.03 (− 2.85, 2.91)	0.983	−0.08 (− 0.40, 0.23)	0.604	0.60 (− 0.54, 1.75)	0.303	0.86 (− 0.42, 2.14)	0.189
Model2^c	0.12 (−2.75, 3.00)	0.931	−0.08 (− 0.40, 0.23)	0.605	0.58 (− 0.56, 1.73)	0.316	0.87 (− 0.40, 2.16)	0.181
Model3^d	0.02 (−2.86, 2.91)	0.987	−0.10 (− 0.42, 0.21)	0.525	0.63 (− 0.51, 1.79)	0.278	0.89 (− 0.39, 2.18)	0.175
Pattern 5
Model1^b	−3.40 (−6.30, −0.49)	0.022	0.16 (−0.15, 0.48)	0.313	−0.71 (−1.86, 0.44)	0.227	−0.96 (−2.25, 0.34)	0.148
Model2^c	−3.51 (−6.24, − 0.60)	0.018	0.16 (− 0.15, 0.48)	0.303	− 0.61 (− 1.78, 0.54)	0.299	−0.88 (− 2.18, 0.42)	0.185
Model3^d	−3.66 (− 6.57, − 0.74)	0.014	0.14 (− 0.18, 0.46)	0.392	− 0.56 (− 1.73, 0.60)	0.341	−0.88 (− 2.18, 0.42)	0.186

^aBeta regression coefficient; the positive β values indicated that higher adherence to nutrient patterns increases the changes in dependent variables and vice versa
^bAdjusted for age and sex
^cAdjusted for model 1 and body mass index, physical activity, and smoking (yes or no)
^dAdjusted for model 2 and energy intake, education levels (under diploma, diploma and associate degree, bachelor and higher), marital status (single, married), and employment status (employed, unemployed). For each of lipid profile factors, its corresponding value in baseline phase was adjusted

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