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Associations of fruit intake with adiposity and cardiometabolic biomarkers in UK Biobank
Eirini Trichia1, Fiona MacLean1, Aurora Perez-Cornago2
1Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Insights
High fruit intake showed minimal impact on cardiovascular disease risk factors like adiposity and blood pressure. Most observed benefits were small and did not persist over time in UK Biobank participants.
Area of Science:
- Nutritional Epidemiology
- Cardiovascular Disease Research
- Public Health Nutrition
Background:
- Fruit consumption is linked to reduced cardiovascular disease (CVD) risk, but mechanisms remain unclear.
- Investigating the association between fruit intake and various CVD risk markers is crucial for understanding this relationship.
Purpose of the Study:
- To examine the cross-sectional and prospective associations of fruit consumption with adiposity, blood pressure, lipids, inflammation, glycaemia, and oxidative stress.
- To clarify the role of fruit intake in cardiovascular health through detailed biomarker analysis.
Main Methods:
- Analysis of 365,534 UK Biobank participants, with follow-up data for 11,510 and 38,988 individuals.
- Cross-sectional and prospective associations assessed using linear regression, adjusted for lifestyle and socioeconomic factors, with additional energy intake adjustments in a subset.
- Fruit consumption frequency measured via questionnaire; biomarkers included BMI, waist circumference, blood pressure, lipids, HbA1c, C-reactive protein, and gamma-glutamyl-transferase.
Main Results:
- Fruit consumption showed weak inverse associations with adiposity and biomarkers at baseline, with most diminishing by follow-up.
- Sustained inverse associations were observed for diastolic blood pressure, C-reactive protein, gamma-glutamyl transferase, and adiposity.
- Differences in biomarkers between high (> 3 servings/day) and low (<1 serving/day) fruit consumers were generally small, often less than 0.1 standard deviations.
Conclusions:
- Very small differences in adiposity and cardiometabolic biomarkers were found between high and low fruit consumers, with limited persistence over time.
- Further research into other mechanisms and confounding factors is needed to fully understand fruit's relevance to cardiovascular disease prevention.
Background:
Fruit consumption has been associated with a lower cardiovascular disease (CVD) risk but the underlying mechanisms are unclear. We investigated the cross-sectional and prospective associations of fruit consumption with markers of adiposity, blood pressure, lipids, low-grade inflammation, glycaemia, and oxidative stress.
Methods:
The main analyses included 365 534 middle-aged adults from the UK Biobank at baseline, of whom 11 510, and 38 988 were included in the first and second follow-up respectively, free from CVD and cancer at baseline. Fruit consumption frequency at baseline was assessed using a questionnaire. We assessed the cross-sectional and prospective associations of fruit with adiposity (body mass index, waist circumference and %body fat), systolic and diastolic blood pressure, lipids (low-density and high-density lipoproteins, triglycerides and apolipoprotein B), glycaemia (haemoglobin A1c), low-grade inflammation (C-reactive protein) and oxidative stress (gamma-glutamyl-transferase) using linear regression models adjusted for socioeconomic and lifestyle factors. Analyses were repeated in a subset with two to five complete 24-h dietary assessments (n = 26 596) allowing for adjustment for total energy intake.
Results:
Fruit consumption at baseline generally showed weak inverse associations with adiposity and biomarkers at baseline. Most of these relationships did not persist through follow-up, except for inverse associations with diastolic blood pressure, C-reactive protein, gamma-glutamyl transferase and adiposity. However, for most mechanisms, mean levels varied by less than 0.1 standard deviations (SD) between high and low fruit consumption (> 3 vs < 1 servings/day) in further adjusted models (while the difference was < 0.2 SD for all of them). For example, waist circumference and diastolic blood pressure were 1 cm and 1 mmHg lower in high compared to low fruit intake at the first follow-up (95% confidence interval: -1.8, -0.1 and -1.8, -0.3, respectively). Analyses in the 24-h dietary assessment subset showed overall similar associations.
Conclusions:
We observed very small differences in adiposity and cardiometabolic biomarkers between those who reported high fruit consumption vs low, most of which did not persist over follow-up. Future studies on other mechanisms and detailed assessment of confounding might further elucidate the relevance of fruit to cardiovascular disease.
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