| Literature DB >> 29982346 |
Abstract
Background: The challenges of achieving global food security have become more demanding as scientists have realized that not only calorie content but also food composition and colonic microbial content impact our health and well-being, dramatically. The ways that the nutrients we consume affect our health are highly complex due to the diversity of what we eat, the varying digestibility of what we eat, the changing composition and functioning of each individual's gut microbiota, the differences in absorption and bioavailability of the nutrients we eat, the differences in responses between individuals to what they eat and the multi-fold mechanisms of action that nutrients have on our health. Perspective and Conclusions: It has been accepted for more than 50 years that diets rich in plants, particularly fruit and vegetables, protect health, and yet such diets have declined, with lower fruit and vegetable content and much more cheap, sugary, oily, processed foods, over the same period. These dietary shifts have had a marked impact on the incidence of chronic diseases: obesity, metabolic diseases, type 2 diabetes and cardiovascular diseases. Greater support for research into the ways that plant-based foods impact health will be essential for changing dietary patterns to protect health and to achieve global nutritional security.Entities:
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Year: 2018 PMID: 29982346 PMCID: PMC6153469 DOI: 10.1093/aob/mcy118
Source DB: PubMed Journal: Ann Bot ISSN: 0305-7364 Impact factor: 5.040
Major dietary sources of fibre
| Type of fibre | Dietary sources | Pictures | Properties |
|---|---|---|---|
| Insoluble fibre | Whole grains, corn bran, nuts, seed, skin of apples, bananas, avocados, green vegetables |
| Reduces/slows digestion and improves bowel health |
| Soluble fibre | Aubergine, okra, peas, beans, oats, rye, barley, berries, apples, bananas, pears, broccoli, root vegetables |
| Fermented by microbiota. Lower glycaemic index, beneficial for CVD, obesity and type 2 diabetes |
| Soluble fibre with probiotic activity | Jerusalem artichoke, leeks, garlic, onions, chicory |
| Improves microbiota composition, reduces pH of colon, releases SCFAs, signals satiety |
| Digestible starch | Cooked white rice, white bread, cooked potatoes |
| Rapidly digested starch, high glycaemic index, promotes obesity, CVD, type 2 diabetes |
| Resistant starch | Beans, legumes, whole grains, pasta made from durum wheat, green unripe bananas |
| Slowly digested, lower glycaemic index, good for gut health, CVD, and obesity |
CVD, cardiovascular disease; SCFA, short-chain fatty acid.
Fig. 1.Changing prevalence of obesity (body mass index ≥30) among US adults aged between 20 and 74 years. Data from NHANES (https://www.cdc.gov/nchs/data/hestat/obesity_adult_09_10/obesity_adult_09_10.html#table1).
Fig. 2.Selection of fruits and fruit products that are rich in anthocyanins. (1) Red wine; (2) red apples; (3) cherries; (4) blueberries; (5) aubergine (egg plant); (6) damson plums.
The different types of fatty acids in the diet; most are associated with positive health outcomes except synthetic trans fats which are strongly associated with sudden cardiac arrest
| Type of fatty acid | Dietary sources | Associated effects on health |
|---|---|---|
| Trans fats | Hydrogenated vegetable oils, baked goods, shortening | Strong association with sudden cardiac arrest |
| Saturated fats | Palm oil, coconut oil, grain-fed animal meats | Historically listed as bad but no clear epidemiological evidence linking consumption to CVD |
| Monounsaturated fats | Olives, olive oil, canola oil, avocado, nuts, dairy products | High in Mediterranean diet which is beneficial for cardiovascular health |
| Medium chain omega-6 PUFAs | Safflower, sunflower, corn, cottonseed and soyabean oils | Used in the body to make pro-inflammatory eicosanoids, leading to enhanced inflammation |
| Medium chain omega-3 PUFAs | Flaxseed, canola, walnut oils, green leafy vegetables | Used in body to make anti-inflammatory eicosanoids and associated with reduced inflammation |
| Long chain omega-6 PUFAs | Eggs, poultry, pork, liver, farmed fish | Used in the body to make pro-inflammatory eicosanoids, leading to enhanced inflammation |
| Long chain omega-3 PUFAs | Marine fish including salmon, tuna, sardines, mackerel, herring, shell-fish, pasture-fed cattle and wild game | Used in body to make anti-inflammatory eicosanoids and associated with reduced inflammation |
CVD, cardiovascular disease; PUFA, polyunsaturated fatty acid.
Effect of personalized nutritional advice on adherence to the Mediterranean diet (MedDiet). Redrawn from Livingstone et al., (2016).
| Personalized nutritional advice | Probability | |||||||
|---|---|---|---|---|---|---|---|---|
| Control L0 | Personalized nutritional advice (L1+L2+L3) | L1 | L2 | L3 | L0 vs (L1+L2+L3) | L1 vs (L2+L3) | L2 vs L3 | |
| Participants (Baseline) | 360 | 1120 | 373 | 376 | 371 | |||
| MedDiet Score at Baseline | 5.17 ± 0.09 | 5.10 ± 0.05 | 5.16 ± 0.09 | 5.05 ± 0.09 | 5.09 ± 0.09 | 0.49 | 0.36 | 0.75 |
| MedDiet Score after 6 months | 5.20 ± 0.05 | 5.48 ± 0.07 | 5.43 ± 0.10 | 5.38 ± 0.10 | 5.63 ± 0.10 | 0.002 | 0.46 | 0.029 |
L0 + Non-personalized dietary advice based on national dietary recommendations, L1 = Personalized advice on basis of current diet and physical activity, L2 = Personalised advice on basis of current diet, physical activity and phenotypic data, L3 = Personalised advice on basis of current diet, physical activity, phenotypic and genotypic data.
Adherence to MedDiet was assessed on the basis of 14-point PREDIMED criteria (Livingstone et al., 2016) relating to (1) A higher intake of olive oil than other cooking oils; (2) A higher intake of white meat compared to other meats; (3) A high intake of fruit, vegetables, olive oil, legumes, nuts, fish, wine and tomato-based sauces; (4) A limited intake of red and processed meats, fats and spreads, sodas, and commercial bakery goods. Participants scored 1 if they met the 14 criteria and 0 if they did not.
Multivariable adjusted hazard ratio (HR) with 95 % confidence limits (CI) for the dose of iron supplements and the risk of total mortality in women aged 55–69 years at baseline from the IOWA Women’s Health Study
| Dose of iron supplement (mg d–1) | Cases | HR xx | Cases | HR (95 % CI) | Cases | HR (95 % CI) | Cases | HR (95 % CI) | Cases | HR (95 % CI) |
|---|---|---|---|---|---|---|---|---|---|---|
| Non-users | > 0–50 | > 50–200 | > 200–400 | > 400 | ||||||
| Follow-up period | ||||||||||
| 1986–2008 | 13 801 | 1 | 527 | 1.02 (0.93–1.12) | 222 | 1.08 (0.94–1.24) | 118 | 1.35 (1.12–1.63) | 47 | 1.57 (1.17–2.11) |
| 1986–1996 | 3675 | 1 | 144 | 1.09 (0.92–1.30) | 59 | 1.12 (0.86–1.46) | 37 | 1.41 (1.01–1.96) | 16 | 1.70 (1.02–2.83) |
| 1997–2003 | 2943 | 1 | 115 | 1.13 (0.92–1.39) | 74 | 1.69 (1.33–2.14) | 59 | 1.30 (0.97–1.74) | 14 | 1.91 (1.06–3.45) |
| 2004–2008 | 1913 | 1 | 71 | 1.66 (1.28–2.14) | 71 | 1.85 (1.43–2.39) | 58 | 1.67 (1.25–2.22) | 17 | 2.01 (1.19–3.40) |
Fig. 3.Summary diagram of the processes impacting plants and plant-based foods in the diet. Processing of foods impacts their chemistry, physical properties and digestibility. Once ingested, maceration and digestion by amylases, proteases, lipases, etc., impact the bioavailability of macronutrients, micronutrients and phytonutrients. Dietary nutrients may impact the composition and functioning of the GI microbiota, which predominantly resides in the colon. Changing microbiota functionality may impact the further digestion of food, nutrient absorption, nutrient metabolism in the colon, removal of toxins and pathogens and signalling, especially satiation. Nutrients, or their metabolites, will be absorbed through the gut and enter the bloodstream, where they may have a wide range of physiological effects. Some material, particularly insoluble fibre, will be excreted. Undigested nutrients will also be excreted and may limit the calories and nutrients redeemable from foods. The panel on the right shows the complexity of the different bacterial phyla in the microbiota of mice using a circular phylogenetic tree colour-coded for the different phyla. The bars above the genera summarize the impact of diets enriched in regular tomatoes (red), high anthocyanin and flavonol tomatoes (dark blue), high resveratrol tomatoes (orange) and high anthocyanin, flavonol and resveratrol tomatoes (purple) compared to the standard diet (grey) on the composition of the microbiota. A large bar of the colour of the supplemented diets above each bacterial group that was particularly enriched by specific polyphenol-rich diets is shown (from Scarano ).