| Literature DB >> 35177087 |
Marie-Louise Syrén1, Stefano Turolo2, Erika Adalgisa de Marco3, Valentina De Cosmi4,5, Patrizia Risé6, Franca Marangoni7, Dario Guido Minoli3, Gianantonio Manzoni3, Carlo Agostoni4,5.
Abstract
BACKGROUND: Relatively little is known about the physiological whole blood fatty acid composition in young people. Likewise, few studies have addressed the question of correlations between Mediterranean diet (MedDiet) adherence and blood fatty acids in childhood.Entities:
Keywords: Adolescence; Childhood; Fatty acids; Mediterranean diet; Mediterranean diet quality index for children (KIDMED); Polyunsaturated fatty acids (PUFA); Whole blood; n3-PUFA; n6-PUFA
Mesh:
Substances:
Year: 2022 PMID: 35177087 PMCID: PMC8851752 DOI: 10.1186/s12944-022-01633-x
Source DB: PubMed Journal: Lipids Health Dis ISSN: 1476-511X Impact factor: 3.876
Fig. 1Flow chart of the cohort
Age and anthropometric characteristics of the subjects
| Subjects | Age (years) | Height/length (m) | Weight (kg) | BMI (kg/m2) | z-BMI | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| mean | 95% CI | mean | 95% CI | mean | 95% CI | mean | 95% CI | mean | 95% CI | |
| The whole cohort | 6.98 | 6.12 7.84 | 1.15 | 1.08 1.22 | 26.4 | 22.9 29.9 | 17.2 | 16.6 17.7 | −0.27 | −0.55 0.02 |
| < 2 years | 1.07 | 0.90 1.24 | 0.71 | 0.68 0.75 | 8.6 | 7.7 9.4 | 16.6 | 15.6 17.7 | −0.31 | −0.96 0.33 |
| 2 - < 10 years | 5.39 | 4.80 5.97 | 1.07 | 1.02 1.11 | 18.8 | 16.8 20.7 | 16.2 | 15.4 17.0 | −0.29 | −0.79 0.22 |
| 10–19 years | 13.87 | 13.26 14.49 | 1.62 | 1.57 1.66 | 51.1 | 47.1 55.1 | 19.1 | 18.2 20.0 | −0.20 | −0.54 0.12 |
BMI: body mass index
Whole blood fatty acids and indices in subjects aged 46 days to 19 years without acute, chronic, or inflammatory disease
| < 2 years ( | 2- < 10 years ( | 10–19 years ( | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Fatty acids (%) | mean | median | 95% CI | mean | median | 95% CI | mean | median | 95% CI |
| 16:0 | 23.32 | 23.52 | 22.64 24.01 | 22.81 | 22.63 | 22.44 23.18 | 23.19 | 23.01 | 22.78 23.60 |
| 11.35 | 11.45 | 10.90 11.80 | 12.10a | 12.02 | 11.80 12.41 | 12.26b | 12.27 | 11.93 12.59 | |
| 21.88 | 21.72 | 20.93 22.83 | 19.88c | 19.49 | 19.09 20.68 | 18.88c | 18.20 | 18.09 19.67 | |
| LA | 20.36 | 20.29 | 19.57 21.15 | 21.14 | 21.00 | 20.44 21.84 | 20.86 | 21.10 | 20.19 21.54 |
| 1.23 | 1.25 | 1.14 1.32 | 1.58c | 1.59 | 1.50 1.65 | 1.54c | 1.54 | 1.46 1.63 | |
| 8.22 | 8.41 | 7.69 8.76 | 9.59c | 9.78 | 9.20 9.98 | 9.82c | 9.92 | 9.48 10.16 | |
| 0.47 | 0.41 | 0.36 0.58 | 0.21c | 0.19 | 0.19 0.24 | 0.19c | 0.17 | 0.17 0.21 | |
| EPA | 0.30 | 0.29 | 0.25 0.36 | 0.31 | 0.27 | 0.26 0.36 | 0.28 | 0.26 | 0.24 0.35 |
| DHA | 2.07 | 2.03 | 1.82 2.33 | 1.85 | 1.78 | 1.69 2.01 | 1.85 | 1.82 | 1.69 2.02 |
| Total SFA | 38.91 | 38.70 | 37.79 40.02 | 38.82 | 38.64 | 38.22 39.41 | 39.48 | 39.39 | 38.80 40.16 |
| 26.30 | 26.39 | 25.36 27.24 | 23.92c | 23.54 | 23.12 24.72 | 23.30c | 22.73 | 22.53 24.08 | |
| 34.80 | 34.98 | 33.71 35.88 | 37.26b | 37.49 | 36.34 38.19 | 37.22b | 37.21 | 36.33 38.11 | |
| 31.26 | 31.70 | 30.26 32.26 | 34.19c | 34.64 | 33.29 35.09 | 34.21c | 33.97 | 33.41 35.01 | |
| 3.45 | 3.50 | 3.13 3.77 | 2.98a | 2.91 | 2.76 3.20 | 2.91a | 2.89 | 2.69 3.13 | |
| PUFA balance1 | 6.79 | 6.46 | 6.04 7.54 | 5.81 | 5.52 | 5.29 6.32 | 5.70 | 5.49 | 5.24 6.17 |
| | 1.98 | 1.83 | 1.82 2.14 | 1.66b | 1.60 | 1.57 1.75 | 1.56c | 1.53 | 1.47 1.66 |
| | 6.18 | 6.56 | 5.63 6.72 | 7.57c | 7.74 | 7.16 7.98 | 7.52b | 7.30 | 7.02 8.02 |
| | 6.91 | 6.73 | 6.39 7.44 | 6.19a | 6.15 | 5.90 6.48 | 6.50 | 6.52 | 6.20 6.80 |
| | 4.51 | 4.19 | 3.95 5.07 | 5.67b | 5.68 | 5.23 6.11 | 5.82b | 5.39 | 5.25 6.39 |
| AA/EPA | 34.90 | 30.21 | 28.33 41.46 | 41.53 | 34.79 | 34.88 48.19 | 42.86 | 38.32 | 36.77 48.95 |
| | 9.89 | 9.14 | 8.90 10.88 | 12.43b | 12.31 | 11.48 13.39 | 12.58b | 11.87 | 11.58 13.58 |
1[(%EPA + %DHA)/%Total PUFA] × 100; 2(18:1n9/18:0); 3(DGLA/LA) × 100; 4AA/DGLA; Bold: significant differences between groups (Kruskal Wallis test); a,b,cP < .05, <.01, <.001 vs age group < 2 years (Bonferroni post hoc analysis). Abbreviations: CI, confidence interval; LA: linoleic acid; DGLA: dihomo-gamma-linolenic acid; AA: arachidonic acid; ALA: alpha-linolenic acid; EPA: eicosapentaenoic acid; DHA: docosahexaenoic acid; SFA: saturated fatty acids; MUFA: monounsaturated fatty acids; PUFA: polyunsaturated fatty acids; n6: omega-6; n3: omega-3; SCD: stearoyl-CoA desaturase; FADS: fatty acid desaturase
The KIDMED questionnaire
| If yes | |
|---|---|
| 1. Consumption of a piece of fruit or fruit juice every day? | + 1 |
| 2. Consumption of a second fruit every day? | + 1 |
| 3. Consumption of fresh or cooked vegetables once a day? | + 1 |
| 4. Consumption of fresh or cooked vegetables more than once a day? | + 1 |
| 5a. Did you consume fish yesterday? | + 1 |
| 6a. Did you consume processed or red meat yesterday? | - 1 |
| 7. Consumption of pasta or rice once a day? | + 1 |
| 8. Habitually use of olive oil at home? | + 1 |
| 9. Cereals, bread, or rusks at breakfast? | + 1 |
| 10. Skips breakfast? | - 1 |
| 11. Consumption of milk or dairy products for breakfast? | + 1 |
| 12. Consumption of snacks or biscuits for breakfast? | - 1 |
| 13. Consumption of 2 yoghurts and/or cheese (40 g)/day? | + 1 |
| 14. Consumption of sweets and/or candy several times a day? | - 1 |
| 15a. Consumption of 5 meals (including 2 snacks) /day? | + 1 |
amodified question
Fig. 2KIDMED score distribution in children aged 2- < 10 years (n = 28)
Correlation between KIDMED score and fatty acids and indices in children 2- < 10 years old (n = 28)
| Fatty acid, indices | Correlation coefficient | Correlation controlled for age |
|---|---|---|
| 18:1n9 | .476 | .261 |
| LA | −.515 | −.296 |
| AA | −.287 | −.111 |
| ALA | .415 | .331 |
| EPA | .451 | .453 |
| DHA | .256 | .352 |
| Total MUFA | .564a | .365 |
| Total PUFA | -.631a | −.425 |
| Total n6-PUFA | -.678b | −.511 |
| Total n3-PUFA | .322 | .350 |
| PUFA balance | .548a | .531a |
| SCD(18) | .492 | .271 |
| AA/DHA | -.554a | −.508 |
| AA/EPA | -.625a | -.566a |
| n6/n3 | -.593a | −.511 |
Statistical significance was evaluated with Spearman’s correlation coefficient. Adjustment for age was done using Spearman’s partial correlation coefficient. a, b, P < .01, .001