| Literature DB >> 29425149 |
Justyna Godos1,2, Sonia Bergante3, Angela Satriano4, Francesca Romana Pluchinotta5, Marina Marranzano6.
Abstract
BACKGROUND: Dietary polyphenols, including phytoestrogens are abundantly present in a balanced diet. Evidence for their role in preventing non-communicable diseases is emerging.Entities:
Keywords: CVD; blood pressure; hypertension; isoflavone; lignan; meditteranean cohort; phytoestrogen
Mesh:
Substances:
Year: 2018 PMID: 29425149 PMCID: PMC6017940 DOI: 10.3390/molecules23020368
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Baseline characteristics by quartiles of dietary phytoestrogens intake in the Mediterranean healthy eating, aging, and lifestyle (MEAL) study sample (n = 1936).
| Total Phytoestrogens Intake |
| ||||
|---|---|---|---|---|---|
| Q1 (Median = 258.56) | Q2 (Median = 432.43) | Q3 (Median = 604.97) | Q4 (Median = 1054.63) | ||
| Age (years), mean (SD) | 47.9 (18.7) | 49.4 (17.2) | 49.5 (17.6) | 46.7 (16.7) | 0.040 |
| Sex, | 0.011 | ||||
| Male | 190 (23.6) | 224 (27.9) | 217 (27.0) | 173 (21.5) | |
| Female | 272 (24) | 271 (23.9) | 276 (24.4) | 313 (27.7) | |
| Educational level, | 0.434 | ||||
| Low | 161 (23.1) | 168 (24.1) | 188 (27.0) | 180 (25.8) | |
| Medium | 168 (23.3) | 195 (27.1) | 188 (26.1) | 169 (23.5) | |
| High | 133 (25.6) | 132 (25.4) | 117 (22.5) | 137 (26.4) | |
| Occupational level, | 0.001 | ||||
| Unemployed | 109 (23.6) | 85 (18.4) | 121 (26.2) | 146 (31.7) | |
| Low | 51 (19.2) | 57 (21.4) | 88 (33.1) | 70 (26.3) | |
| Medium | 109 (24.8) | 119 (27.0) | 113 (25.7) | 99 (22.5) | |
| High | 131 (26.7) | 125 (25.5) | 131 (27.3) | 104 (25.3) | |
| Smoking status, | 0.014 | ||||
| Non smoker | 270 (22.6) | 296 (24.8) | 301 (25.2) | 328 (27.4) | |
| Ex-smoker | 121 (26.0) | 121 (26.0) | 111 (23.9) | 112 (24.1) | |
| Current smoker | 71 (25.7) | 78 (28.3) | 81 (29.3) | 46 (16.7) | |
| Physical activity, | <0.001 | ||||
| Low | 89 (27.1) | 55 (16.7) | 83 (25.2) | 102 (31.0) | |
| Medium | 221 (25.8) | 238 (27.8) | 175 (20.4) | 222 (25.9) | |
| High | 97 (17.9) | 159 (29.3) | 165 (30.4) | 122 (22.5) | |
| Alcohol consumption, | <0.001 | ||||
| No | 97 (25.9) | 95 (25.3) | 84 (22.4) | 99 (26.4) | |
| Moderate (<12 g/d) | 311 (25.8) | 303 (25.1) | 334 (27.7) | 258 (21.4) | |
| Regular (≥12 g/d) | 54 (15.2) | 97 (27.2) | 75 (21.1) | 130 (36.5) | |
| Na (microg/d), mean ± SD | 2724.6 ± 1155.7 | 2869.9 ± 1045.8 | 2870.8 ± 1060.4 | 2947.8 ± 1147.3 | 0.021 |
| K (microg/d), mean ± SD | 2920.4 ± 897.0 | 3269.6 ± 941.2 | 3915.5 ± 1068.3 | 4589.9 ± 1806.8 | <0.001 |
| Systolic blood pressure (mmHg), mean ± SD | 122.1 ± 12.9 | 121.3 ± 12.4 | 121.4 ± 12.2 | 121.5 ± 13.8 | 0.723 |
| Diastolic blood pressure (mmHg), mean ± SD | 76.1 ± 9.9 | 75.7 ± 9.9 | 75.1 ± 10.3 | 73.4 ± 11.2 | <0.001 |
Figure 1Association between dietary phytoestrogen intake and systolic and diastolic blood pressure (BP).
Association between quartiles of dietary phytoestrogens intake (total and main classes) and hypertension.
| OR (95% CI) | ||||
|---|---|---|---|---|
| Polyphenols (mg/d) | Q1 | Q2 | Q3 | Q4 |
| Total phytoestrogens, median (range) | 0.89 (0.20, 1.23) | 1.77 (1.24, 2.33) | 3.61 (2.33, 5.41) | 10.21 (5.42, 101.72) |
| No. of cases | 247 | 260 | 257 | 212 |
| Model a | 1 | 0.85 (0.63, 1.14) | 0.79 (0.58, 1.07) | 0.68 (0.49, 0.96) |
| Model b | 1 | 0.87 (0.61, 1.26) | 0.69 (0.47, 1.00) | 0.66 (0.44, 0.98) |
| Isoflavones, median (range) | 0.01 (0.00, 0.01) | 0.03 (0.01, 0.04) | 0.07 (0.05, 0.08) | 5.53 (0.09, 92.98) |
| No. of cases | 240 | 267 | 265 | 204 |
| Model a | 1 | 0.97 (0.72, 1.31) | 0.87 (0.64, 1.17) | 0.96 (0.69, 1.34) |
| Model b | 1 | 0.81 (0.56, 1.15) | 0.94 (0.65, 1.35) | 0.93 (0.64, 1.36) |
| Daidzein, median (range) | 0.01 (0.00, 0.01) | 0.02 (0.01, 0.02) | 0.04 (0.03, 0.05) | 0.14 (0.05, 6.49) |
| Model a | 1 | 1.14 (0.84, 1.55) | 1.03 (0.76, 1.40) | 0.94 (0.68, 1.29) |
| Model b | 1 | 0.95 (0.66, 1.36) | 1.05 (0.73, 1.52) | 1.03 (0.70, 1.51) |
| Genistein, median (range) | 0.00 (0.00, 0.00) | 0.01 (0.00, 0.01) | 0.02 (0.01, 0.02) | 0.14 (0.02, 7.77) |
| Model a | 1 | 1.23 (0.91, 1.65) | 1.04 (0.76, 1.42) | 0.99 (0.72, 1.36) |
| Model b | 1 | 1.05 (0.73, 1.49) | 1.08 (0.73, 1.58) | 1.07 (0.73, 1.57) |
| Biochanin A, median (range) | 0.00 (0.00, 0.00) | 0.36 (0.10, 0.50) | 0.95 (0.70, 1.70) | 2.50 (1.80, 34.3) |
| Model a | 1 | 0.99 (0.72, 1.35) | 1.24 (0.91, 1.69) | 0.63 (0.46, 0.87) |
| Model b | 1 | 0.99 (0.65, 1.48) | 0.99 (0.66, 1.50) | 0.63 (0.41, 0.96) |
| Lignans, median (range) | 0.71 (0.00, 1.07) | 1.41 (1.07, 1.99) | 2.46 (2.00, 3.62) | 5.41 (3.63, 23.56) |
| No. of cases | 225 | 232 | 275 | 244 |
| Model a | 1 | 0.66 (0.49, 0.89) | 1.14 (0.83, 1.56) | 0.77 (0.55, 1.09) |
| Model b | 1 | 0.59 (0.41, 0.86) | 0.88 (0.61, 1.27) | 0.71 (0.47, 1.08) |
| Lariciresinol, median (range) | 0.25 (0.00, 0.48) | 0.69 (0.48, 1.06) | 1.23 (1.06, 2.00) | 3.11 (2.01, 13.98) |
| Model a | 1 | 0.65 (0.48, 0.88) | 1.03 (0.76, 1.40) | 0.79 (0.56, 1.10) |
| Model b | 1 | 0.60 (0.41, 0.86) | 0.84 (0.58, 1.21) | 0.69 (0.46, 1.03) |
| Matairesinol, median (range) | 0.00 (0.00, 0.01) | 0.01 (0.01, 0.02) | 0.02 (0.02, 0.04) | 0.06 (0.04, 0.30) |
| Model a | 1 | 1.00 (0.74, 1.35) | 1.47 (1.07, 2.01) | 1.03 (0.73, 1.44) |
| Model b | 1 | 0.95 (0.65, 1.37) | 1.08 (0.74, 1.58) | 0.91 (0.60, 1.38) |
| Pinoresinol, median (range) | 0.31 (0.00, 0.41) | 0.52 (0.41, 0.70) | 0.87 (0.70, 1.24) | 1.75 (1.25, 7.30) |
| Model a | 1 | 0.62 (0.46, 0.85) | 0.94 (0.68, 1.29) | 0.65 (0.46, 0.92) |
| Model b | 1 | 0.58 (0.40, 0.84) | 0.79 (0.54, 1.16) | 0.59 (0.39, 0.89) |
| Secoisolariciresinol, median (range) | 0.03 (0.00, 0.05) | 0.06 (0.05, 0.08) | 0.11 (0.08, 0.14) | 0.21 (0.14, 0.90) |
| Model a | 1 | 0.78 (0.58, 1.06) | 1.11 (0.80, 1.53) | 0.80 (0.56, 1.14) |
| Model b | 1 | 0.73 (0.51, 1.06) | 0.88 (0.60, 1.30) | 0.69 (0.44, 1.06) |
a Model adjusted for age (years, continuous), energy intake (kcal/d, continuous), sodium and potassium intake; b Model adjusted for age (years, continuous), energy intake (kcal/d, continuous), smoking status (smokers, ex-smokers, non-smokers), alcohol consumption (0 g/d, <12 g/d, ≥12 g/d), physical activity level (low, medium, high), educational level (low, medium, high), occupational level (unemployed, low, medium, high), sodium and potassium intake.