Reference | First author (year) | Study design | Country | Age range/mean age | Gender | Sample size | Diet assessment tool | The number of subjects with CMRFs | Duration follow-up (years) | Number of used dietary factors in DII calculation | Outcome variable | Measure of outcome | Comparison | Type of DII variable (categorical/ continuous) | Type of effect size measure | Effect size measure (95% CI) | Study quality | Confounders | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24 | Alkerwi et al. 2014 | Cross-sectional | Luxembourg | 18–69 | F/M | 1352 F (695) M (657) | FFQ | 430 | – | 24 | Abdominal obesity | Morbidity | DII > 1 vs. DII ≤ 1 | Categorical | OR | 1.12 (0.81, 1.56) | 7 | 3, 7, 9, 11, 17, 25 | |
249 | Low HDL-C | 1.46 (1.00, 2.13) | |||||||||||||||||
351 | Hyper- triglyceridemia | 1.17 (0.82, 1.67) | |||||||||||||||||
741 | HTN | 0.85 (0.61, 1.18) | |||||||||||||||||
307 | Hyperglycemia | 1.30 (0.90, 1.89) | |||||||||||||||||
346 | MetS | 1.18 (0.81, 1.71) | |||||||||||||||||
42 | Alkerwi et al. 2015 | Cross-sectional | Luxembourg | 18–69 | F/M | 1040 F (NR) M (NR) | FFQ | 1040 | - | NR | HDL-C (mmol/l) | Morbidity | – | Continuous (each 1-z score difference across the DII) | β -Coefficient | 0 | 8 | 3, 7, 9, 17, 25 | |
TC (mmol/l) | 0.0409 | ||||||||||||||||||
TG (mmol/l) | − 0.00003 | ||||||||||||||||||
LDL-C (mmol/l) | 0.0003 | ||||||||||||||||||
ApoA1 (mg/l) | 0.02 | ||||||||||||||||||
Apo B (mg/l) | 0.13 | ||||||||||||||||||
1106 F (NR) M (NR) | 1,106 | FBS (mmol/l) | − 0.0002 | ||||||||||||||||
HbA1c (%) | − 0.0001 | ||||||||||||||||||
HOMA-IR | − 0.017 | ||||||||||||||||||
Insulin (mg/l) | − 0.22 | ||||||||||||||||||
1153 F (NR) M (NR) | 1153 | BMI (kg/m2) | − 0.003 | ||||||||||||||||
WC (cm) | 0.002 | ||||||||||||||||||
1007 F (NR) M (NR) | 1007 | SBP (mmHg) | − 0.001 | ||||||||||||||||
DBP (mmHg) | 0.587 | ||||||||||||||||||
43 | Moslehi et al. 2016 | Cross-sectional | Iran | 19–75 | F/M | 2975 F (1,641) M (1304) | FFQ | 1,007 | – | 37 | Glucose tolerance abnormality | Morbidity | Quartile 4 (0.29, 5.23) vs. Quartile 1 (− 5.82, − 2.67) | Categorical | OR | 1.15 (0.90, 1.48) | 8 | 2, 3, 6, 7, 9, 17, 22, 48 | |
590 | IFG | 1.09 (0.83, 1.44) | |||||||||||||||||
259 | IGT | 1.24 (0.84, 1.81) | |||||||||||||||||
286 | Type 2 diabetes | 0.98 (0.66, 1.47) | |||||||||||||||||
1923 | Insulin resistance | 1.18 (0.91, 1.51) | 2, 3, 6, 7, 9, 17, 22, 48, 54 | ||||||||||||||||
2975 | FBS levels (mmol/L) | - | Continuous | β-Coefficient | 0.01 | ||||||||||||||
Postload glucose levels (mmol/L) | 0.04 | ||||||||||||||||||
Fasting insulin (U/mL) | 0.02 | ||||||||||||||||||
HOMA-IR | 0.02 | ||||||||||||||||||
HOMA-B | 0.01 | ||||||||||||||||||
QUICKI | − 0.02 | ||||||||||||||||||
25 | Naja et al. 2017 | Cross-sectional | Lebanon | > 18 | F/M | 330 F (NR) M (NR) | FFQ | 171 | – | 25 | Abdominal obesity | Morbidity | Quintile 5 (NR) vs. Quintile 1 (NR) | Categorical | OR | 0.66 (0.29, 1.48) | 7 | 3, 7, 9, 17, 25, 29, 55 | |
105 | Low HDL-C | 0.74 (0.31, 1.75) | |||||||||||||||||
103 | Hyper- triglyceridemia | 0.84 (0.35, 1.03) | |||||||||||||||||
329 | 132 | HTN | 0.40 (0.23, 1.04) | ||||||||||||||||
331 | 151 | Hyperglycemia | 1.80 (0.80, 4.01) | ||||||||||||||||
328 | 114 | MetS | 0.72 (0.31, 1.67) | ||||||||||||||||
23 | Neufcourt et al.. 2015 | Cohort | France | 35–60 | F/M | 3726 F (2367) M (1359) | At least 3 valid 24-h dietary records | 524 | 13 | 36 | MetS | Morbidity | Quartile 4 (mean (IQR) 2.97 (1.27)) vs. Quartile 1 (− 1.76 (1.07)) | Categorical | OR | 1.39 (1.01,1.92) | 7 | 1, 3, 7, 9, 17, 25, 56 | |
22 | Ramallal et al.. 2017 | Cohort | Spain | 37.4 | F/M | 7027 F (4535) M (2492) | FFQ | 1433 overweight (1409) Obese (24) | 10 | 28 | Overweight/Obesity | Morbidity | Quartile 4 (− 0.59, 4) vs. Quartile 1 (− 5.1, -2.5) | Categorical | HR | 1.32 (1.08, 1.60) | 8 | 1, 2, 3, 7, 9, 17, 34, 35, 36, 39, 57, 58, 59, 60 | |
17 | Ramallal et al. 2015 | Cohort | Spain | 38 | F/M | 18,794 F (NR) M (NR) | FFQ | NR | 2 | 28 | HTN | Morbidity | Quartile 4 (− 0.74, 3.97) vs. Quartile 1 (− 5.14, − 2.68) | Categorical | OR | 1.71 (1.11, 2.64) | 7 | 1, 2, 3, 7, 9, 17, 24, 25, 35, 36, 39, 57 | |
Hypercholesterolemia | 1.04 (0.69, 1.57) | ||||||||||||||||||
44 | Sen et al. 2018 | Cohort | USA | 2.8- 4.9 | F/M | 922 F (NR) M (NR) | FFQ | 922 | 4.5 | NR | BMI z-score | Morbidity | - | Continues (per 1 point increment in pregnancy DII) | β-Coefficient | Girls: 0.04 (− 0.09, 0.17) Boys: 0.16 (0.02, 0.29) | 8 | 9, 17, 25, 18, 53 | |
775 | 775 | FFM index (kg/m2) | Girls: 0.06 (− 0.13, 0.24) Boys: 0.19 (− 0.01, 0.39) | ||||||||||||||||
FM index (kg/m2) | Girls: 0.14 (− 0.13, 0.40) Boys: 0.13 (− 0.14, 0.41) | ||||||||||||||||||
Trunk fat mass index (kg/m2) | Girls: 0.06 (− 0.05, 0.18) Boys: 0.06 (− 0.06, 0.19) | ||||||||||||||||||
922 | 922 | WC (cm) | Girls: 0.21 (− 0.77, 1.19) Boys: 0.93 (− 0.07, 1.92) | ||||||||||||||||
SS + Tr (mm) | Girls: 0.31 (− 0.92, 1.53) Boys: 1.12 (0.01, 2.23) | ||||||||||||||||||
Fasting insulin (uU/ml) | Girls: -0.06 (− 1.10, 0.97) Boys: − 0.80 (− 1.85, 0.24) | ||||||||||||||||||
LDL-C (mg/dl) | Girls: − 0.17 (− 4.11, 3.77) Boys: − 0.80 (− 1.85, 0.24) | ||||||||||||||||||
481 | 481 | Mid-childhood metabolic risk score | Girls: 0.04 (− 0.08, 0.16) Boys: 0.02 (− 0.10, 0.14) | ||||||||||||||||
28 | Sokol et al. 2016 | Cross-sectional | Poland | 45–64 | F/M | 3862 F (2572) M (1290) | FFQ | 1759 | – | 22 | Abdominal obesity | Morbidity | Quartile 4 (− 0.75, 4.00) vs. Quartile 1 (− 4.56,− -2.62) | Categorical | OR | 0.79 (0.61, 1.03) | 7 | 2, 9 | |
Continuous (per one unit) | 0.95 (0.89, 1.02) | ||||||||||||||||||
615 | Low HDL-C | Categorical | 0.62 (0.48, 0.80) | ||||||||||||||||
Continuous (per one unit) | 0.89 (0.84, 0.95) | ||||||||||||||||||
815 | Hyper- triglyceridemia | Categorical | 1.04 (0.84, 1.30) | ||||||||||||||||
Continuous (per one unit) | 1.01 (0.95, 1.07) | ||||||||||||||||||
2590 | HTN | Categorical | 1.05 (0.86, 1.28) | ||||||||||||||||
Continuous (per one unit) | 1.02 (0.97, 1.07) | ||||||||||||||||||
1402 | Hyperglycemia | Categorical | 1.11 (0.91, 1.34) | ||||||||||||||||
Continuous (per one unit) | 1.04 (0.99, 1.09) | ||||||||||||||||||
1159 | MetS | Categorical | 0.96 (0.77, 1.19) | ||||||||||||||||
Continuous (per one unit) | 0.99 (0.94, 1.05) | ||||||||||||||||||
21 | Vahid et al. 2016 | Case–control | Iran | 31–67 | F/M | 414 F (NR) M (NR) | FFQ | 214 | - | 27 | Pre-diabetes | Morbidity | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | OR | 18.88 (7.02, 50.82) | 7 | 1, 2, 3, 7, 9, 17, 25 | |
- | Continuous (per one unit) | 3.62 (2.50, 5.22) | |||||||||||||||||
414 | FBS levels (mmol/l) | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | β-Coefficient | 4.49 (1.89, 7.09) | 2, 6, 7, 9, 25, 39, 61, 62 | |||||||||||||
- | Continuous (per one tertile) | 2.18 (1.21, 3.15) | |||||||||||||||||
414 | OGTT (mg/dl) | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | 8.76 (1.78, 15.73) | |||||||||||||||
– | Continu ous (per one tertile) | 4.08 (1.45, 6.71) | |||||||||||||||||
414 | HbA1C (mmol/l) | Tertile 3 (> − 0.54) vs. Tertile 1 (<− -1.21) | Categorical | 0.30 (0.17, 0.42) | |||||||||||||||
- | Continuous (per one tertile) | 0.12 (0.07, 0.17) | |||||||||||||||||
414 | HDL-C (mg/dl) | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | − 3.39 (− 5.94, − 0.84) | |||||||||||||||
– | Continuous (per one tertile) | − 1.10 (− 2.06, − 0.13) | |||||||||||||||||
414 | LDL-C (mg/dl) | Tertile 3 (>− 0.54) vs. Tertile 1 (<− 1.21) | Categorical | 16.37 (11.04, 21.69) | |||||||||||||||
- | Continuous (per one tertile) | 5.51 (3.47, 7.54) | |||||||||||||||||
414 | TG (mg/dl) | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | 21.01 (8.61, 33.42) | |||||||||||||||
Continuous (per one tertile) | 12.66 (8.06, 17.27) | ||||||||||||||||||
414 | LBM (%) | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | − 3.11 (− 4.83, − 1.39) | |||||||||||||||
- | Continuous (per one tertile) | − 1.26 (− 1.91, − 0.61) | |||||||||||||||||
414 | Body fat (%) | Tertile 3 (> − 0.54) vs. Tertile 1 (< − 1.21) | Categorical | 2.41 (0.56, 4.26) | |||||||||||||||
- | Continuous (per one tertile) | 1.10 (0.40, 1.79) | |||||||||||||||||
26 | Vissers et al. 2017 | Cohort | Australia | 52 | F | 7,169 | FFQ | 1680 | 12 | 25 | HTN | Morbidity | DII ≥ 0 vs. DII < 0 | Categorical | OR | 1.24 (1.06, 1.45) | 7 | 1, 2, 3, 6, 7, 9, 25, 40, 45 | |
- | Continuous (per 1 SD increase in DII score) | 1.07 (0.99, 1.15) | |||||||||||||||||
Michael D. Wirth et al. 2014 | Cross-sectional | United states of America | 42.4 ± 8.5 | F/M | 447 F (112) M (335) | FFQ | 125 | - | DII (36 food items) | MetS | Morbidity | Presence of at least three of these components WC of ≥ 102 cm for males or ≥ 88 for females; BP ≥ 130 for systolic or ≥ 85 for diastolic or reported diagno sed hypertension or antihypertensive medication; HDL-C of < 40 mg/dL in men and < 50 in women; TG ≥ 150 mg/dL, and glucose ≥ 100 mg/dL or reported treatment for diabetes | Quartile 4 (2.64, 5.89) vs. Quartile 1 (− 6.27, − 1.26) | Categorical | OR | 0.87 (0.46–1.63) | Age, sex | ||
20 | Wirth et al. 2014 | Cross-sectional | USA | 42.4 | F/M | 447 F (112) M (335) | FFQ | 150 | - | 36 | Abdominal obesity | Morbidity | Quartile 4 (2.64, 5.89) vs. Quartile 1 (− 6.27, − 1.26) | Categorical | OR | 0.93 (0.52, 1.67) | 5 | 14, 64 | |
444 | 185 | Low HDL-C | 1.03 (0.59, 1.83) | 17, 18, 39 | |||||||||||||||
444 | 136 | Hyper-triglyceridemia | 0.77 (0.42, 1.42) | 17, 18 | |||||||||||||||
447 | 181 | HTN | 1.14 (0.64, 2.02) | 9, 17, 39 | |||||||||||||||
445 | 115 | Hyperglycemia | 2.03 (1.08, 3.82) | 9, 17 | |||||||||||||||
444 | 125 | MetS | 0.87 (0.46, 1.63) | ||||||||||||||||
46 | Tyrovolas et al. 2017 | Cross-sectional | USA | ≥ 20 | F/M | 7880 F (NR) M (NR) | 24-h dietary recall | NR | – | 27 | CVD-RF morbidity index (included obesity, diabetes, hypertension, and hypercholesterolemia. The total number of these risk factors was calculated (range 0–4) for each individual and used as the outcome) | Morbidity | Quartile 4 (NR) vs. Quartile 1 (NR) | Categorical | OR | 1.39 (1.15, 1.67) | 8 | 3, 7, 9, 17, 18, 25, 29, 33, 59 | |
– | Continuous (per one unit) | 1.07 (1.03, 1.10) | |||||||||||||||||
19 | Wirth et al. 2016 | Cross-sectional | USA | 20–80 | F/M | 15,666 F (NR) M (NR) | 24-dietary recall | 5408 | - | 27 | HTN | Morbidity | Quartile 4 (1.94, 4.83) vs. Quartile 1 (-5.81, -0.81) | Categorical | POR | 1.19 (1.05, 1.34) | 5 | 2, 7, 9, 46 | |
- | Continuous (per one unit) | 1.04 (1.01, 1.06) | |||||||||||||||||
27 | Sen et al. 2015 | Cohort | USA | 32.2 | F | 1779 | FFQ | 160 | 6 months | 28 | Isolated hyperglycemia | Morbidity | - | Continuous (per one unit) | OR | 0.94 (0.82, 1.07) | 7 | 2, 7, 9, 18, 25, 53 | |
58 | Impaired glucose tolerance | 0.88 (0.71, 1.09) | |||||||||||||||||
96 | GDM | 0.78 (0.65, 0.95) | |||||||||||||||||
1775 | NR | Inadequate pregnancy weight gain | 0.97 (0.86, 1.09) | ||||||||||||||||
Excessive pregnancy weight gain | 0.95 (0.87, 1.03) | ||||||||||||||||||
1772 | 25 | Chronic HTN | 0.91 (0.65, 1.28) | ||||||||||||||||
122 | Gestational HTN | 0.97 (0.83, 1.14) | |||||||||||||||||
62 | Preeclampsia | 1.04 (0.85, 1.26) | |||||||||||||||||
47 | Ruiz-Canela et al. 2015 | Cross-sectional | Spain | 56–80 | F | 4145 | FFQ | 4145 | – | 33 | BMI (kg/m2) | Morbidity | – | Continues | Pearson coefficient (r) | 0.06 (0.03, 0.09) | 8 | 1, 3, 6, 7, 9, 22, 25, 29, | |
WC (cm) | 0.05 (0.02, 0.08) | ||||||||||||||||||
WHtR (%) | 0.06 (0.03, 0.09) | ||||||||||||||||||
55–80 | M | 3091 | 3091 | BMI (kg/m2) | 0.05 (0.01, 0.08) | ||||||||||||||
WC (cm) | 0.08 (0.05, 0.20) | ||||||||||||||||||
WHtR (%) | 0.09 (0.06, 0.13) | ||||||||||||||||||
48 | Camargo-Ramos et al. 2017 | Cohort | Colombia | 39.7 | F/M | 90 F (NR) M (NR) | 24-dietary record | 90 | NR | 28 | DXA total tissue (% fat) | Morbidity | – | Categorical (Anti-Inflammatory Diet (− 3.71 to − 0.37) and Inflammatory Diet (0.13–3.64)) | Pearson coefficient (r) | Anti-inflammatory diet = − 0.122, pro-inflammatory diet = 0.111 | 7 | 9, 17 | |
TC (mg/dL) | Anti-inflammatory diet = -0.210, Pro-inflammatory diet = 0.010 | ||||||||||||||||||
TG (mg/dL) | Anti-inflammatory diet = − 0.354, pro-inflammatory diet = − 0.009 | ||||||||||||||||||
HDL-C (mg/dL) | Anti-inflammatory diet = − 0.100, Pro-inflammatory diet = 0.028 | ||||||||||||||||||
LDL-C (mg/dL) | Anti-Inflammatory Diet = 0.350, Pro-Inflammatory Diet = -0.084 | ||||||||||||||||||
FBS (mg/dL) | Anti-inflammatory diet = − 0.422, pro-inflammatory diet = − 0.228 | ||||||||||||||||||
MetScore | Anti-inflammatory diet = − 0.282, pro-inflammatory diet = 0.410 | ||||||||||||||||||
HbAc1 (%) | Anti-inflammatory diet = 0.004, pro-inflammatory diet = 0.090 | ||||||||||||||||||
FMD (%) | Anti-inflammatory diet = 0.261, pro-inflammatory diet = − 0.233 | ||||||||||||||||||
PWV (m/s) | Anti-inflammatory diet =− 0.437, pro-inflammatory diet = 0.014 | ||||||||||||||||||
Aortic SBP (mm Hg) | Anti-inflammatory diet =− 0.271 pro-inflammatory diet = − 0.126 | ||||||||||||||||||
Aortic pulse pressure (mm Hg) | Anti-inflammatory diet =− 0.271, pro-inflammatory diet = − 0.055 | ||||||||||||||||||
Brachial augmentation index (%) | Anti-inflammatory diet = − 0.300, pro-inflammatory diet = − 0.209 | ||||||||||||||||||
Aortic augmentation index (%) | Anti-inflammatory diet = − 0.299, pro-inflammatory diet = − 0.064 | ||||||||||||||||||
MAP (mm Hg) | Anti-inflammatory diet = − 0.011, pro-inflammatory diet = 0.079 | ||||||||||||||||||
49 | Cantero et al. 2017 | Cross-sectional | Spain | 55–80 | F/M | 794 F (NR) M (NR) | FFQ | 794 | – | NR | BMI (kg/m2) | Morbidity | – | Continues | Pearson coefficient (r) | 0.130 | 8 | NR | |
50 | Tabung et al. 2017 | Cross-sectional | USA | 25–42 | F | 3985 | FFQ | 3985 | – | 38 | Adiponectin | Morbidity | – | Continues | Pearson coefficient (r) | − 0.10 | 8 | NR | |
40–75 | M | 4176 | 4176 | − 0.05 | |||||||||||||||
58 | Abdurahman et al. 2018 | Cross-sectional | Iran | 19–59 | F/M | 277 F (233) M (44) | FFQ | 176 | – | 32 | MUO | Morbidity | Quartile 4 (7.98) vs. Quartile 1 (− 8.87) | Categorical | OR | 2.58 (1.19, 5.59) | 8 | 2, 3, 9, 17, 65 | |
- | Continues (per one quartile) | 1.18 (1.01, 1.39) | |||||||||||||||||
NR | Abdominal obesity | Quartile 4 (7.98) vs. Quartile 1 (− 8.87) | Categorical | 0.58 (0.16, 2.05) | |||||||||||||||
- | Continues (per one quartile) | 0.91 (0.73, 1.14) | |||||||||||||||||
NR | Low HDL-C | Quartile 4 (7.98) vs. Quartile 1 (− 8.87) | Categorical | 1.19 (0.55, 2.57) | |||||||||||||||
- | Continues (per one quartile) | 1.01 (0.87, 1.18) | |||||||||||||||||
NR | Hyper- triglyceridemia | Quartile 4 (7.98) vs. Quartile 1 (− 8.87) | Categorical | 1.66 (0.82, 3.37) | |||||||||||||||
- | Continues (per one quartile) | 1.11 (0.95, 1.13) | |||||||||||||||||
NR | HTN | Quartile 4 (7.98) vs. Quartile 1 (− 8.87) | Categorical | 1.66 (0.83, 3.34) | |||||||||||||||
– | Continues (per one quartile) | 1.11 (0.96, 1.29) | |||||||||||||||||
NR | Hyperglycemia | Quartile 4 (7.98) vs. Quartile 1 (− 8.87) | Categorical | 1.89 (0.92, 3.91) | |||||||||||||||
- | Continues (per one quartile) | 1.13 (0.97, 1.32) | |||||||||||||||||
59 | Andrade et al. 2018 | Cohort | Brazil | 43.0 | F | 132 | 24-h dietary recall | 132 | 0.5 | 21 | Postoperative weight (kg) | Morbidity | - | Continues (Per one unit) | β-coefficient | 2.02 (0.33, 3.70) | 7 | 1, 9 | |
Postoperative body fat mass (kg) | 1.78 (0.51, 3.04) | ||||||||||||||||||
60 | Aslani et al. 2018 | Cross-sectional | Iran | 6–18 | F/M | 5427 F (2,541) M (2,886) | FFQ | 5427 | – | 25 | BMI z-score | Morbidity | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | β-coefficient | 0.07 (0.01, 0.14) | 8 | 2, 9, 11, 17, 36, 41 | |
- | Continues (per one quartile) | 0.01 (-0.002, 0.04) | |||||||||||||||||
Wrist Circumference (cm) | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | 0.06 (− 0.09, 0.21) | ||||||||||||||||
- | Continues (per one quartile) | 0.03 (− 0.01, 0.08) | |||||||||||||||||
NC (cm) | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | − 0.08 (− 0.43, 0.26) | ||||||||||||||||
– | Continues (per one quartile) | 0.00 (− 0.11, 0.11) | |||||||||||||||||
WC (cm) | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | 0.89 (0.07, 1.70) | ||||||||||||||||
- | Continues (per one quartile) | 0.27 (0.01, 0.53) | |||||||||||||||||
HC (cm) | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | 1.13 (0.29, 1.96) | ||||||||||||||||
- | Continues (per one quartile) | 0.39 (0.13, 0.65) | |||||||||||||||||
WHR | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | 0.00 (− 0.01, 0.01) | ||||||||||||||||
- | Continues (per one quartile) | − 0.001 (− 0.004, 0.002) | |||||||||||||||||
WHtR | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | 0.004 (− 0.01, 0.02) | ||||||||||||||||
- | Continues (per one quartile) | 0.002 (− 0.04, 0.009) | |||||||||||||||||
Parental BMI (kg/m2) | Quartile 4 (1.50 to 4.26) vs. Quartile 1 (− 4.42 to − 1.63) | Categorical | 1.05 (0.61, 1.49) | ||||||||||||||||
- | Continues (per one quartile) | 0.34 (0.20, 0.48) | |||||||||||||||||
61 | Carvalho et al. 2018 | Cross-sectional | Brazil | 23–25 | F | 1,034 | FFQ | 110 | – | 35 | Insulin resistance | Morbidity | - | Continues (per one unit) | PR | 0.96 (0.87, 1.07) | 7 | 9, 53 | |
67 | MetS | 1.05 (0.91, 1.20) | |||||||||||||||||
M | 942 | 134 | Insulin resistance | 0.98 (0.89, 1.08) | |||||||||||||||
180 | MetS | 0.98 (0.91, 1.07) | |||||||||||||||||
62 | Phillips et al. 2018 | Cross-sectional | Ireland | 50–69 | F/M | 1992 F (1016) M (976) | FFQ | NR | – | 26 | MetS | Morbidity | < Median DII (− 5.10 to − 1.28) vs > Median DII (− 1.28 to 3.68) | Categorical | OR | 1.37 (1.01, 1.88) | 8 | 2, 9, 17, 66 | |
large VLDL particles (nmol/L) | 1.28 (1.07, 1.54) | ||||||||||||||||||
small HDL particle size (nmol/L) | 1.45 (1.21, 1.74) | ||||||||||||||||||
small LDL particle size (nmol/L) | 1.54 (1.28, 1.84) | ||||||||||||||||||
Lipoprotein Insulin Resistance score | 1.24 (1.10, 1.50) | ||||||||||||||||||
63 | Correa-Rodríguez et al. 2018 | Cross-sectional | Spain | 18–25 | F/M | 599 F (414) M (185) | 72-h dietary recall | 599 | – | 25 | BMI (kg/m2) | Morbidity | – | Continues (per one unit) | β-coefficient | − 0.073 (− 0.487, 0.026) | 7 | 1, 9, 17 | |
FM (kg) | − 0.074 (− 1.052, 0.050) | ||||||||||||||||||
PFM (%) | − 0.047 (0.845, 0.170) | ||||||||||||||||||
FFM (kg) | − 0.059 (− 0.842, − 0.107) | ||||||||||||||||||
VFR | − 0.017 (− 0.217, 0.142) | ||||||||||||||||||
64 | Denova-Gutiérrez et al. 2018 | Cross-sectional | Mexico | 20–69 | F/M | 1174 F (515) M (659) | Semi-quantitative FFQ | 201 | – | 27 | T2DM | Morbidity | Quintile 5 (NR) vs. Quintile 1 (NR) | Categorical | OR | 3.02 (1.39, 6.58) | 8 | 2, 3, 6, 9, 11, 17, 22, 25, 27, 36, 39, 66, 69 | |
65 | Abbasalizad Farhangi et al. 2018 | Cross-sectional | Iran | 35–80 | F | 120 | FFQ | 120 | – | 28 | HbA1C (%) | Morbidity | Quartile 4) − 29.83 to ≤− 15.05) vs. Quartile 1(− 0.19 to ≤ 7.01( | Categorical | β-coefficient | 0.88 (0.59, 1. 31) | 6 | 2, 6, 9, 17, 25, 67 | |
TC (mg/dl) | 0.67 (0.34, 1.37) | ||||||||||||||||||
TG (mg/dl) | 1.08 (0.94, 1.25) | ||||||||||||||||||
LDL-C (mg/dl) | 1.46 (0.72, 2.97) | ||||||||||||||||||
HDL-C (mg/dl) | 1.42 (0.70, 2.88) | ||||||||||||||||||
Lipoprotein (a) (mg/dl) | 0.98 (0.96, 1.00) | ||||||||||||||||||
M | 332 | 332 | HbA1C (%) | 0.89 (0.71–1.12) | |||||||||||||||
TC (mg/dl) | 1.02 (0.99–1.04) | ||||||||||||||||||
TG (mg/dl) | 0.99 (0.98–0.99) | ||||||||||||||||||
LDL-C (mg/dl) | 1.001 (0.98–1.02) | ||||||||||||||||||
HDL-C (mg/dl) | − 0.95 (0.91–1.00) | ||||||||||||||||||
Lipoprotein (a) (mg/dl) | 1.01 (0.99–1.02) | ||||||||||||||||||
66 | Luglio Muhammad et al. 2018 | Cross-sectional | Indonesia | 19–56 | F/M | 503 | FFQ | 503 | – | 30 | BMI (kg/m2) | Morbidity | – | Continues (per one unit) | β-coefficient (SE) | − 0.08 (0.036) | 6 | 1, 2, 3, 9, 17 | |
Body weight (kg) | − 0.03 (0.09) | ||||||||||||||||||
Body fat (%) | − 0.04 (0.04) | ||||||||||||||||||
WC (cm) | − 0.04 (0.09) | ||||||||||||||||||
HC (cm) | − 0.04 (0.07) | ||||||||||||||||||
SBP (mmHg) | 0.03 (0.16) | ||||||||||||||||||
DBP (mmHg) | 0.04 (0.10) | ||||||||||||||||||
TG (mmol/L) | 0.04 (0.006) | ||||||||||||||||||
HDL-C (mmol/L) | − 0.04 (0.004) | ||||||||||||||||||
67 | Alam et al. 2018 | Cross-sectional | Pakistan | 54–95 | M | 651 | 24-dietary recall | 651 | – | NR | Body weight (kg) | Morbidity | - | Categorical | Tertile 3 (Mean ± SD) | 69.05 ± 10.2 | 8 | - | |
BMI (kg/m2) | 24 ± 1.8 | ||||||||||||||||||
WC (cm) | 85.5 ± 7.4 | ||||||||||||||||||
WHR | 0.99 ± 0.11 | ||||||||||||||||||
68 | Kim et al. 2018 | Cross-sectional | Korea | 19–65 | F | 5609 | 24-h dietary recall | 1044 | – | 23 | Abdominal obesity | Morbidity | Quartile 4 (≥ 1.28) vs. Quartile 1 (< -0.85) | Categorical | OR | 1.35 (0.94, 1.94) | 8 | 1, 2, 3, 7, 9, 25, 39 | |
2092 | Low HDL-C | 0.85 (0.71, 1.04) | |||||||||||||||||
1060 | Hyper- triglyceridemia | 1.07 (0.84, 1.38) | |||||||||||||||||
1335 | HTN | 1.10 (0.87, 1.38) | |||||||||||||||||
1292 | Hyperglycemia | 0.95 (0.77, 1.18) | |||||||||||||||||
966 | MetS | 1.22 (0.91, 1.64) | |||||||||||||||||
M | 3682 | 1010 | Abdominal obesity | Q4 (≥ 1.89) vs. Q1 (< − 0.16) | 1.07 (0.72, 1.61) | ||||||||||||||
902 | Low HDL-C | 0.93 (0.71, 1.21) | |||||||||||||||||
1489 | Hyper- triglyceridemia | 1.22 (0.97, 1.53) | |||||||||||||||||
1429 | HTN | 1.14 (0.88, 1.46) | |||||||||||||||||
1384 | Hyperglycemia | 1.30 (1.02, 1.65) | |||||||||||||||||
1043 | MetS | 1.40 (1.06, 1.85) | |||||||||||||||||
69 | Correa-Rodriguez et al. 2018 | Cross-sectional | Spain | 9–17 | F/M | 428 F (242) M (186) | 24-h dietary recall | 428 | – | 28 | BMI z-score | Morbidity | – | Continues (per one unit) | β-coefficient | 0.084 (− 0.015, 0.116) | 7 | 1, 9, 17 | |
WC (cm) | 0.100 (− 0.060, 1.296) | ||||||||||||||||||
WHtR | 0.128 (0.001, 0.016) | ||||||||||||||||||
WHR | 0.004 (− 0.004, 0.004) | ||||||||||||||||||
FM (kg) | 0.069 (− 0.182, 0.859) | ||||||||||||||||||
PFM (%) | 0.050 (− 0.318, 0.885) | ||||||||||||||||||
FFM (kg) | 0.045 (− 0.240, 0.735) | ||||||||||||||||||
SBP (msmHg) | 0.010 (− 0.933, 1.114) | ||||||||||||||||||
DBP (mmHg) | − 0.032 (− 0.960, 0.540) | ||||||||||||||||||
70 | Mazidi et al. 2018 | Cross-sectional | USA | ≥ 18 | F/M | 17,689 F (9,082) M (8,607) | 24-h dietary recall | NR | – | 18 | MetS | Morbidity | Q4 (1.62 to 4.24) vs. Q1 (− 5.66 to -1.04) | Categorical | OR | 1.23 (1.07, 1.41) | 8 | 1, 2, 7, 9, 17, 18, 25, 29 | |
Obesity | 1.28 (1.17, 1.52) | ||||||||||||||||||
HTN | 1.21 (1.02, 1.43) | ||||||||||||||||||
71 | Mirmajidi et al .2018 | Cross-sectional | Iran | 18–60 | F/M | 150 F (74) M (76) | FFQ | 150 | 34 | BMI (kg/m2) | Morbidity | - | Continuous (per one unit) | β-coefficient | 0.351 (0.258, 1.247) | 6 | 1, 3, 9, 17 | ||
FBS (mg/dl) | 0.402 (0.826, 3.040) | ||||||||||||||||||
Insulin (mg/dl) | 0.166 (− 0.425, 2.217) | ||||||||||||||||||
HOMA-IR (mg/dl) | 0.214 (− 0.038, 0.590) | ||||||||||||||||||
HOMA-B (mg/dl) | 0.112 (− 0.160, 0.433) | ||||||||||||||||||
QUICKI | − 0.239 (− 0.009, 0.000) | ||||||||||||||||||
Chemerin (ng/mL) | 0.317 (59.09, 331.45) | ||||||||||||||||||
Omentin (ng/ml) | − 0.192 (29.272, 3.405) | ||||||||||||||||||
LBP (mg/ml) | 0.223 (0.469, 3.146) | ||||||||||||||||||
72 | Moe San et al. 2018 | Cross-sectional | Myanmar | 25–60 | F | 244 | 24-h dietary recall and Semi-quantitative FFQ | 116 | – | 31 | High BMI | Morbidity | Higher DII (> 1.07) vs. lower DII (< 1.07) | Categorical | OR | 1.40 (0.80, 2.30) | 6 | 2, 9, 29, 68 | |
91 | Abdominal obesity | 1.40 (0.80, 2.40) | |||||||||||||||||
196 | Body fat mass | 1.10 (0.50, 2.10) | |||||||||||||||||
73 | Nikniaz Et al. 2018 | Cross-sectional | Iran | 18–64 | F/M | 606 F (324) M (282) | FFQ | NR | – | 30 | Abdominal obesity | Morbidity | Quartile 4 (NR) vs. Quartile 1 (NR) | Categorical | OR | 0.86 (0.39, 1.91) | 7 | 2, 3, 7, 9, 17 | |
Low HDL-C | 0.83 (0.44, 1.55) | ||||||||||||||||||
Hyper- triglyceridemia | 1.31 (0.66, 2.58) | ||||||||||||||||||
HTN | 1.18 (0.47, 2.96) | ||||||||||||||||||
Hyperglycemia | 2.56 (1.01, 7.05) | ||||||||||||||||||
MetS | 2.26 (1.03, 4.92) | ||||||||||||||||||
75 | Park et al. 2018 | Cross-sectional | Korea | ≥ 50 | F | 1344 | 24-h dietary recall | 334 | - | 42 | Osteopenic obesity | Morbidity | Higher DII (> − 0.07) vs. lower DII (≤ − 0.07) | Categorical | OR | 2.757 (1.398, 5.438) | 8 | 2, 7, 9, 25, 37, 53 | |
110 | Sarcopenic obesity | 1.968 (0.951, 4.073) | |||||||||||||||||
445 | Steosarcopenic obesity | 2.186 (1.182, 4.044) | |||||||||||||||||
74 | Shivappa et al. 2018 | Case–control | Iran | 18–40 | F | 388 | FFQ | 122 | – | 32 | GDM | Morbidity | Tertile 3 (> − 0.38) vs. tertile 1 (≤ − 1.32) | Categorical | OR | 2.10 (1.02, 4.34) | 7 | 1, 2, 3, 6, 7, 9, 27 | |
- | Continuous (per one unit) | 1.20 (0.94, 1.54) | |||||||||||||||||
45 | Winkvist et al. 2018 | Cohort | Sweden | 30–60 | F | 8345 | FFQ | NR | 10 | 30 | BMI (kg/m2) | Morbidity | - | Continuous (per one percent) | β-coefficient ± SE | 0.000 ± 0.001 | 8 | 3, 7, 9, 25, 63 | |
TG (mmol/l) | 0.000 ± 0.000 | ||||||||||||||||||
TC (mmol/l) | 0.000 ± 0.000 | ||||||||||||||||||
SBP (mmHg) | − 0.006 ± 0.003 | ||||||||||||||||||
M | 7641 | BMI (kg/m2) | 0.000 ± 0.001 | ||||||||||||||||
TG (mmol/l) | 0.000 ± 0.000 | ||||||||||||||||||
TC (mmol/l) | 0.000 ± 0.000 | ||||||||||||||||||
SBP (mmHg) | − 0.001 ± 0.004 | ||||||||||||||||||
76 | Ren et al. 2018a | Cross- sectional | China | 18–75 | F/M | 1712 F (1130) M (582) | 24-h dietary recall | NR | – | 21 | Abdominal obesity | Morbidity | Tertile 3 (1.12 to 3.49) vs. tertile 1 − 3.50 to 0.04) | Categorical | OR | 0.86 (0.59–1.24) | 8 | 2, 7, 9, 17, 25 | |
- | Continues (per one unit) | 0.93 (0.81–1.06) | |||||||||||||||||
Low HDL-C | Tertile 3 (1.12 to 3.49) vs. tertile 1 − 3.50 to 0.04) | Categorical | 1.17 (0.88–1.56) | ||||||||||||||||
- | Continues (per one unit) | 1.02 (0.92–1.12) | |||||||||||||||||
Hyper- triglyceridemia | Tertile 3 (1.12 to 3.49) vs. tertile 1 − 3.50 to 0.04) | Categorical | 1.03 (0.78–1.37) | ||||||||||||||||
- | Continues (per one unit) | 0.99 (0.90–1.09) | |||||||||||||||||
HTN | Tertile 3 (1.12 to 3.49) vs. tertile 1 -3.50 to 0.04) | Categorical | 1.40 (1.03–1.89) | ||||||||||||||||
- | Continues (per one unit) | 1.06 (0.96–1.18) | |||||||||||||||||
Hyperglycemia | Tertile 3 (1.12 to 3.49) vs. tertile 1 − 3.50 to 0.04) | Categorical | 0.85 (0.64–1.14) | ||||||||||||||||
- | Continues (per one unit) | 0.91 (0.82–1.00) | |||||||||||||||||
MetS | Tertile 3 (1.12 to 3.49) vs. tertile 1 − 3.50 to 0.04) | Categorical | 1.02 (0.75–1.40) | ||||||||||||||||
- | Continues (per one unit) | 0.93 (0.83–1.04) |