Associations between fruit consumption and home blood pressure in a randomly selected sample of the general Swedish population.

Frequent fruit consumption has been associated with lower office blood pressure. Less is known about associations between fruit consumption and home blood pressure. Our aim was to study the correlation between consumption of specific fruits and home blood pressure in a large randomly selected study population. The main outcome was systolic home blood pressure. Home blood pressure measurements were performed with calibrated oscillometric meters during seven consecutive days. Means for all available measurements were used. Validated food frequency questionnaires were used for estimating frequency of fruit consumption. The specified fruits were bananas, apples/pears and oranges/citrus fruit. Complete case analysis regarding fruit consumption, office- and home blood pressure measurements and other relevant variables was performed in 2283 study participants out of 2603 available. Multivariable linear regression analysis was performed. There were statistically significant associations between consumption of all fruit types and lower systolic home blood pressure unadjusted (p for trend; bananas, apples/pears and oranges/citrus fruit p < .001). The numerical differences between most and least frequent consumption of fruit were for bananas -2.7 mm Hg, apples/pears -3.9 mm Hg and for oranges/citrus fruit -3.4 mm Hg. When adjusted for covariates, both consumption of apples/pears and oranges/citrus fruit had an independent statistically significant association with lower blood pressure (p = .048 resp. p = .009). Future controlled interventional studies are needed to evaluate the effect of specific fruit on home blood pressure.

Correction: A Randomized Study of the Effects of Additional Fruit and Nuts Consumption on Hepatic Fat Content, Cardiovascular Risk Factors and Basal Metabolic Rate.

[This corrects the article DOI: 10.1371/journal.pone.0147149.].

A randomised study in young subjects of the effects of eating extra fruit or nuts on periodontal inflammation.

OBJECTIVES/AIMS: Fruit is often advocated as a healthy source of nutrients and vitamins. However, the high contents of sugars in many fruits could potentially counteract positive effects on the teeth. MATERIALS AND METHODS: We recruited 30 healthy non-obese participants who were randomised to either supplement their diet with extra fruits or nuts, each at +7 kcal/kg body weight/day, for 2 months. RESULTS: Fructose intake increased from 9.1±6.0 to 25.6±9.6 g/day, P<0.0001, in the fruit group and was reduced from 12.4±5.7 to 6.5±5.3 g/day, P=0.007, in the nut group. Serum-vitamin C increased in both groups (fruit: P=0.017; nuts: P=0.009). α-Tocopherol/cholesterol ratio increased in the fruit group (P=0.0033) while ß-carotene/cholesterol decreased in the nut group (P<0.0001). The amount of subjects with probing pocket depths ⩾4 mm in the fruit group was reduced (P=0.045) according to blinded examinations, and the difference in the changes in probing pockets ⩾4 mm was also statistically significant between the food groups (P=0.010). CONCLUSION: A large increase of fruit intake, compared with nuts, had a favourable effect on periodontal status in some respects, despite the high sugar contents. To search for potential protective micronutrients in fruit that protect the teeth could be an aim for further research.

A randomized cross-over study of the effects of macronutrient composition and meal frequency on GLP-1, ghrelin and energy expenditure in humans.

OBJECTIVE: Little is known about human postprandial increase of energy expenditure and satiety-associated hormones in relation to both meal frequency and macronutrient composition. DESIGN: Randomized cross-over study with four conditions for each participant. METHODS: Seven men and seven women (mean age 23±1.5years) were randomly assigned to the order of intake of a 750kcal drink with the same protein content while having either 20 energy-percent (E%) or 55 E% from carbohydrates and the remaining energy from fat. Participants were also randomized to consume the drinks as one large beverage or as five 150kcal portions every 30min, starting in the fasting state in the morning. Energy expenditure (EE) was determined every 30min by indirect calorimetry. Hormonal responses and suppression of hunger (by visual-analogue scales) were also studied. A p<0.013 was considered statistically significant following Bonferroni-correction. RESULTS: The area under the curve (AUC) for EE was higher during the 2.5h after the high-carbohydrate drinks (p=0.005 by Wilcoxon) and also after ingesting one drink compared with five (p=0.004). AUC for serum active GLP-1 was higher after single drinks compared with five beverages (p=0.002). Although GLP-1 levels remained particularly high at the end of the test during the low-carbohydrate meals, the AUC did not differ compared with the high-carbohydrate occasions (low-carbohydrate: 58.9±18pg/ml/h, high-carbohydrate: 45.2±16pg/ml/h, p=0.028). Hunger sensations were suppressed more after single beverages compared with five small drinks (p=0.009). CONCLUSIONS: We found higher EE during 2.5h following one large drink compared with five smaller beverages. Since hunger was also suppressed more efficiently, and serum GLP-1 levels were higher after one compared with five smaller drinks, our findings do not support nibbling to avoid hunger or to keep up EE from morning to noon.

A Randomized Study of the Effects of Additional Fruit and Nuts Consumption on Hepatic Fat Content, Cardiovascular Risk Factors and Basal Metabolic Rate.

BACKGROUND: Fruit has since long been advocated as a healthy source of many nutrients, however, the high content of sugars in fruit might be a concern. OBJECTIVES: To study effects of an increased fruit intake compared with similar amount of extra calories from nuts in humans. METHODS: Thirty healthy non-obese participants were randomized to either supplement the diet with fruits or nuts, each at +7 kcal/kg bodyweight/day for two months. Major endpoints were change of hepatic fat content (HFC, by magnetic resonance imaging, MRI), basal metabolic rate (BMR, with indirect calorimetry) and cardiovascular risk markers. RESULTS: Weight gain was numerically similar in both groups although only statistically significant in the group randomized to nuts (fruit: from 22.15 ± 1.61 kg/m(2) to 22.30 ± 1.7 kg/m(2), p = 0.24 nuts: from 22.54 ± 2.26 kg/m(2) to 22.73 ± 2.28 kg/m(2), p = 0.045). On the other hand BMR increased in the nut group only (p = 0.028). Only the nut group reported a net increase of calories (from 2519 ± 721 kcal/day to 2763 ± 595 kcal/day, p = 0.035) according to 3-day food registrations. Despite an almost three-fold reported increased fructose-intake in the fruit group (from 9.1 ± 6.0 gram/day to 25.6 ± 9.6 gram/day, p<0.0001, nuts: from 12.4 ± 5.7 gram/day to 6.5 ± 5.3 gram/day, p = 0.007) there was no change of HFC. The numerical increase in fasting insulin was statistically significant only in the fruit group (from 7.73±3.1 mIE/L to 8.81±2.9 mIE/L, p = 0.018, nuts: from 7.29±2.9 mIE/L to 8.62±3.0 mIE/L, p = 0.14). Levels of vitamin C increased in both groups while α-tocopherol/cholesterol-ratio increased only in the fruit group. CONCLUSIONS: Although BMR increased in the nut-group only this was not linked with differences in weight gain between groups which potentially could be explained by the lack of reported net caloric increase in the fruit group. In healthy non-obese individuals an increased fruit intake seems safe from cardiovascular risk perspective, including measurement of HFC by MRI. TRIAL REGISTRATION: ClinicalTrials.gov NCT02227511.