| Literature DB >> 26746219 |
Virginia Govoni1, Thomas A B Sanders1, Dianne P Reidlinger1, Julia Darzi1, Sarah E E Berry1, Louise M Goff1, Paul T Seed2, Philip J Chowienczyk3, Wendy L Hall4.
Abstract
PURPOSE: Healthy microcirculation is important to maintain the health of tissues and organs, most notably the heart, kidney and retina. Single components of the diet such as salt, lipids and polyphenols may influence microcirculation, but the effects of dietary patterns that are consistent with current dietary guidelines are uncertain. It was hypothesized that compliance to UK dietary guidelines would have a favourable effect on skin capillary density/recruitment compared with a traditional British diet (control diet).Entities:
Keywords: Blood pressure; Capillaroscopy; Cardiovascular disease; Dietary guidelines; Microcirculation; Randomized controlled trial
Mesh:
Year: 2016 PMID: 26746219 PMCID: PMC5346414 DOI: 10.1007/s00394-015-1151-3
Source DB: PubMed Journal: Eur J Nutr ISSN: 1436-6207 Impact factor: 5.614
Fig. 1Consort diagram
Details of male and female participants by randomized treatment group
| DG | CON | |
|---|---|---|
|
|
| |
| Age | 53 ± 8 | 53 ± 8 |
|
| ||
| Male, | 31 (43) | 26 (40) |
| Pre-menopausal female, | 15 (21) | 15 (23) |
| Post-menopausal female, | 26 (36) | 24 (37) |
|
| ||
| White European, | 66 (92) | 61 (94) |
| Asian, | 6 (8) | 4 (6) |
| BMI (kg/m2) | 25.0 ± 3.3 | 26.5 ± 3.7 |
| Fasting plasma total cholesterol (mmol/L) | 5.3 ± 1.0 | 5.3 ± 0.9 |
| Fasting plasma HDL cholesterol (mmol/L) | 1.6 ± 0.4 | 1.5 ± 0.5 |
| Fasting plasma TG (mmol/L) | 1.0 ± 0.6 | 1.2 ± 0.5 |
| Fasting plasma glucose (mmol/L) | 5.3 ± 0.5 | 5.2 ± 0.4 |
| Seated systolic BP (mmHg) | 118 ± 14 | 119 ± 13 |
| Seated diastolic BP (mmHg) | 76 ± 8 | 78 ± 9 |
| 10-year risk of CVD men (%) | 7.6 ± 5.3 | 7.9 ± 5.7 |
| 10-year risk of CVD women (%) | 3.7 ± 3.1 | 4.9 ± 3.4 |
Mean ± SD. 10-year risk of CVD estimated using QRISK-2. No significant differences between groups: two-sample t test or Mann–Whitney U test
DG dietary guidelines, CON control, BMI body mass index, BP blood pressure, CVD cardiovascular disease, HDL high-density lipoprotein
Comparison of dietary intakes estimated from 4-day food diaries at baseline and following intervention, together with biomarkers of compliance on treatment, compared with targets for the dietary guidelines group
| Target$ | Baseline | DG | CON | |
|---|---|---|---|---|
|
|
|
| ||
| Total fat (% food energy) | ≤35 | 35.7 ± 5.9 | 34.0 ± 5.3* | 37.7 ± 5.3 |
| SFA (% food energy) | <11 | 12.1 ± 3.3 | 7.7 ± 1.8* | 15.0 ± 2.8 |
| LDL-cholesterol (mmol/L) | 3.2 ± 0.85 | 3.0 ± 0.77* | 3.3 ± 0.78 | |
| NMES (% food energy) | <11 | 9.7 ± 4.4 | 7.1 ± 4.0* | 9.4 ± 3.8 |
| 24-h urinary sucrose and fructose (μmol/24 h) | 41 (33, 50) | 28 (21, 38)* | 56 (43, 73) | |
| Wholegrains (servings/day) | ≥2 | 1.4 ± 1.1 | 2.7 ± 1.36* | 1.0 ± 1 |
| Plasma alkylresorcinol (nmol/L) | 75 (66, 85) | 87 (74, 102)* | 64 (53, 78) | |
| Oily fish (servings/week) | ≥1 | 1.0 ± 1.0 | 1.7 ± 1.56* | 0.2 ± 0.3 |
| Erythrocyte 20:5n-3 + 22:6n-3 (wt%) | 7.1 ± 2.2 | 8.0 ± 2.4* | 6.7 ± 2.1 | |
| Fruit and vegetables (servings/day) | ≥5 | 5 ± 3 | 7 ± 3* | 5 ± 3 |
| 24-h urinary potassium (mmol/day) | 83 ± 29 | 86 ± 30 | 81 ± 22 | |
| Sodium intake (mmol/day) | <100 | 142 ± 53 | 84 ± 83* | 152 ± 59 |
| 24-h urinary Na excretion (mmol/day) | 125 ± 55 | 80 ± 39* | 133 ± 55 |
Mean values ± SD or geometric mean (95 % CI)
There were no statistical differences between DG and CON at baseline
DG dietary guidelines, NMES non-milk extrinsic sugars
* Significant difference from control P < 0.01; two-sample t test
$140 g oily fish = 1 serving; 30 g wholegrains = 1 serving; 80 g fruit or vegetable = 1 serving
Changes in supine blood pressure (BP) and digital microcirculation in healthy non-smoking men and women aged 40–70 years before and 12 weeks after random allocation to dietary guidelines (DG) or control (CON) diets
| DG | CON | Treatment effect |
| |
|---|---|---|---|---|
|
| ||||
| Baseline | 117 (114, 120) | 116 (113, 119) | ||
| Endpoint | 112 (110, 115) | 115 (113, 118) | −3.5 (−5.4, −1.7) | <0.001 |
|
| ||||
| Baseline | 74 (72, 76) | 74 (72, 76) | ||
| Endpoint | 71 (69, 73) | 74 (72, 76) | −2.6 (−3.8, −1.4) | <0.001 |
|
| ||||
| Baseline | 88 (86, 90) | 88 (86,90) | ||
| Endpoint | 85 (83, 87) | 88 (86, 90) | −2.9 (−4.2, −1.6) | <0.001 |
|
| ||||
| Baseline | 110 (106, 113) | 110 (105, 114) | ||
| Endpoint | 108 (104, 112) | 102 (102, 110) | 1.1 (−2.8, 5.1) | 0.57 |
|
| ||||
| Baseline | 116 (111, 120) | 113 (109, 118) | ||
| Endpoint | 118 (113, 122) | 113 (109, 116) | 2.5 (−0.8, 5.9) | 0.14 |
|
| ||||
| Baseline | 6.4 (4.3, 8.4) | 3.7 (1.9, 5.6) | ||
| Endpoint | 9.7 (7.3, 12.1) | 6.5 (4.3, 8.6) | 3.5 (0.2, 6.9) | 0.04 |
Mean values (95 % CI). Data were analysed on a per protocol basis, and the probabilities are based on analysis of covariance with value on treatment regressed against the baseline value, gender, age and BMI categories; the treatment effect is the regression-adjusted difference between groups