Table 1.
References | Location | Age years | Gender | Sample size | Study design | Adjustments | Exposure | Category of exposure | Effect estimates | Diagnostic criteria of MetS | NOS |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruscato et al. (29) | Brazil | >60 | Female | 284 | Cross-sectional | Age, smoking, years of education, physical activity and dietary fiber. | 24 h recall | Iron | IDF | 7 | |
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 0.65 (0.30, 1.38) | ||||||||||
Quartiles 3 | 1.33 (0.63, 2.83) | ||||||||||
Quartiles 4 | 0.72 (0.30, 1.72) | ||||||||||
Otto et al. (30) | US | 45–84 | Both | 3,828 | Cohort | Energy intake, age, sex, race-ethnicity, education, study center, alcohol intake, physical activity, BMI, fiber intake, cigarette smoking, dietary supplement use, the ratio of polyunsaturated fat intake: saturated fat intake and antioxidant intake | 24 h recall | Iron Quintiles 1 Quintiles 2 Quintiles 3 Quintiles 4 Quintiles 5 |
1.00 1.07 (0.85, 1.36) 1.02 (0.80, 1.30) 1.28 (1.01, 1.63) 1.06 (0.81, 1.40) |
AHA | 8 |
Choi et al. (31) | Korea | >19 | Both | 5,136 | Cross-sectional | Age, energy intake and alcohol frequency | 24 h recall | Copper Male |
NCEP ATP III | 8 | |
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 0.98 (0.70, 1.37) | ||||||||||
Quartiles 3 | 0.85 (0.60, 1.20) | ||||||||||
Quartiles 4 | 0.90 (0.60, 1.37) | ||||||||||
Female | |||||||||||
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 1.07 (0.80, 1.43) | ||||||||||
Quartiles 3 | 1.02 (0.74, 1.40) | ||||||||||
Quartiles 4 | 0.86 (0.58, 1.27) | ||||||||||
Li et al. (32) | China | 18–65 | Both | 550 | Cross-sectional | Age and sex | 3 days recall | Copper | NCEP ATP III | 7 | |
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 0.75 (0.45, 1.24) | ||||||||||
Quartiles 3 | 0.65 (0.39, 1.07) | ||||||||||
Quartiles 4 | 0.61 (0.36, 1.01) | ||||||||||
Selenium | |||||||||||
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 1.38 (0.89, 2.45) | ||||||||||
Quartiles 3 | 0.81 (0.54, 1.49) | ||||||||||
Quartiles 4 | 0.82 (0.46, 1.30) | ||||||||||
Motamed et al. (33) | Iran | 35–65 | Both | 3,800 | Cross-sectional | Sex, age, physical activity level, smoking, past medical history, energy intake and BMI | 24 h recall | Iron | IDF | 7 | |
Quintiles 1 | 1.00 | ||||||||||
Quintiles 2 | 1.15 (0.90, 1.40) | ||||||||||
Quintiles 3 | 1.24 (0.90, 1.50) | ||||||||||
Quintiles 4 | 1.24 (1.00, 1.50) | ||||||||||
Quintiles 5 | 1.12 (0.90, 1.40) | ||||||||||
Copper | |||||||||||
Quintiles 1 | 1.00 | ||||||||||
Quintiles 2 | 1.25 (1.00, 1.50) | ||||||||||
Quintiles 3 | 1.33 (1.06, 1.60) | ||||||||||
Quintiles 4 | 1.16 (0.90, 1.40) | ||||||||||
Quintiles 5 | 1.15 (0.90, 1.40) | ||||||||||
Selenium | |||||||||||
Quintiles 1 | 1.00 | ||||||||||
Quintiles 2 | 0.96 (0.70, 1.10) | ||||||||||
Quintiles 3 | 0.85 (0.60, 1.04) | ||||||||||
Quintiles 4 | 0.92 (0.70, 1.10) | ||||||||||
Quintiles 5 | 0.78 (0.60, 0.90) | ||||||||||
Suarez-Ortegón et al. (34) | Colombia | 11–16 | Both | 1,311 | Cross-sectional | Age, BMI, socioeconomic status, and intakes of fat, carbohydrates, protein and ascorbic acid | 24 h recall | Copper Males |
Ferranti | 7 | |
Tertiles 1 | 1.00 | ||||||||||
Tertiles 2 | / | ||||||||||
Tertiles 3 | 0.84 (0.32, 2.19) | ||||||||||
Females | |||||||||||
Tertiles 1 | 1.00 | ||||||||||
Tertiles 2 | / | ||||||||||
Tertiles 3 | 0.77 (0.30, 1.82) | ||||||||||
Wei et al. (35) | China | >18 | Both | 2,069 | Cross-sectional | Age, sex, cigarette smoking, alcohol drinking, nutritional supplementary, activity level, dietary energy intake, fiber intake and protein intake | FFQ | Selenium Quartiles 1 Quartiles 2 Quartiles 3 Quartiles 4 |
1.00 0.60 (0.43, 0.86) 0.82 (0.58, 1.17) 0.72 (0.46, 1.14) |
AHA | 7 |
Bulka et al. (36) | Spain | 18–74 | Both | 15,051 | Cross-sectional | Energy intake, age, gender, and Hispanic/Latino background | 24 h recall | Copper Below EAR Normal |
1.00 0.81 (0.69, 0.95) |
AHA | 8 |
Qu et al. (37) | China | 20–75 | Both | 9,108 | Cross-sectional | Age, sex, BMI, physical activity, drinking, and smoking | FFQ | Copper | IDF | 8 | |
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 0.95 (0.82, 1.11) | ||||||||||
Quartiles 3 | 0.85 (0.74, 0.99) | ||||||||||
Quartiles 4 | 0.81 (0.70, 0.94) | ||||||||||
Zhu et al. (39) | China | >18 | Both | 3,099 | Cross-sectional | Age, sex, income, physical activity level, intentional physical exercise, smoking status, alcohol use and dietary total energy intake | 24 h and 3 days recall | Iron | NCEP ATP III | 8 | |
Quartiles 1 | 1.00 | ||||||||||
Quartiles 2 | 1.37 (1.06, 1.78) | ||||||||||
Quartiles 3 | 1.47 (1.11, 1.94) | ||||||||||
Quartiles 4 | 1.59 (1.15, 2.20) | ||||||||||
Vieira et al. (38) | Brazil | >18 | Both | 591 | Cross-sectional | Physical activity, gender, alcohol consumption, household per capita income, BMI, high-sensitivity C-reactive protein, age, smoking status, race, total energy intake, misreporting, saturated fat and vitamin C intakes | 24 h recall | Iron Quintiles 1 Quintiles 2 Quintiles 3 Quintiles 4 Quintiles 5 |
1.00 0.83 (0.36, 2.70) 1.34 (0.63, 2.84) 0.52 (0.26, 1.04) 1.14 (0.54, 2.40) |
NCEP ATP III | 7 |
Esfandiar et al. (40) | Iran | >18 | Both | 4,654 | Cohort | Age, sex, baseline BMI, educational level, smoking status, total energy intake, fiber, saturated fat, sodium, vitamin C and magnesium intakes | FFQ | Iron Quartiles 1 Quartiles 2 Quartiles 3 Quartiles 4 |
1.00 0.97 (0.79, 1.19) 1.10 (0.81, 1.49) 2.04 (0.97, 4.28) |
NCEP ATP III | 7 |
Zhu et al. (41) | China | >18 | Both | 5,323 | Cross-sectional | Age, sex, region, years of education, physical activity level, intended physical exercises, smoking status, alcohol use and daily energy intake, zinc and magnesium | 24 h and 3 days recall | Iron Quartiles 1 Quartiles 2 Quartiles 3 Quartiles 4 |
1.00 1.35 (1.10, 1.65) 1.47 (1.15, 1.88) 1.60 (1.21, 2.11) |
NCEP ATP III | 8 |
Batista et al. (42) | Brazil | 14–19 | Both | 327 | Cross-sectional | Sex, age, maternal education, family income, physical activity, and alcohol consumption | 24 h recall | Copper | Cooks | 7 | |
Tertiles 1 | 1.00 | ||||||||||
Tertiles 2 | 1.49 (0.56, 4.09) | ||||||||||
Tertiles 3 | 0.87 (0.28, 2.70) | ||||||||||
Selenium | |||||||||||
Tertiles 1 | 1.00 | ||||||||||
Tertiles 2 | 2.17 (0.66, 7.36) | ||||||||||
Tertiles 3 | 0.81 (0.30, 2.19) |