Abstract
Background
Oxidative stress has been associated with a variety of chronic diseases and reproductive disorders. Fruits and vegetables may contribute to antioxidant vitamin and micronutrient levels and reduce oxidative stress.
Objective
To investigate the effect of meeting the 5 A Day recommendation for fruit and vegetable consumption on biomarkers of oxidative damage and antioxidant defense.
Design
In this longitudinal study, healthy premenopausal women (n=258) were followed for ≤2 menstrual cycles with ≤16 oxidative stress measures timed to cycle phase.
Main outcome measures
Plasma concentrations of F2-isoprostane, 9-hydroxyoctadecadieneoic acid (9-HODE), and 13-hydroxyoctadecadieneoic acid (13-HODE), erythrocyte activity of superoxide dismutase (SOD), glutathione reductase (GSHR), and glutathione peroxidase (GPx), as well as blood micronutrient concentrations were measured. Dietary intake was assessed by Food Frequency Questionnaires (FFQ, 1/cycle) and 24-hour recalls (≤4/cycle).
Statistical analyses performed
Fruit and vegetable servings were dichotomized based on the 5 A Day recommendation. Linear mixed models with repeated measures were used to analyze lipid peroxidation markers, antioxidant vitamins, and antioxidant enzymes by cycle phase and in association with usual fruit and vegetable intake.
Results
For both 24-hour recall (timed to cycle phase) and cycle-specific FFQ, meeting the 5 A Day recommendation was associated with decreased F2-isoprostanes (24-hour recall β= −0.10 (95% CI: −0.12, −0.07); FFQ β= −0.14 (95% CI: −0.18, −0.11)). GSHR was lower in association with typical 5A Day consumption by FFQ but not in the phase-specific analysis. Higher levels of ascorbic acid, lutein, β-carotene and β-cryptoxanthin were observed with both 5 A Day measures.
Conclusions
Meeting the 5 A Day recommendation was associated with lower oxidative stress and improved antioxidant status in analyses of typical diet (FFQ) and in menstrual cycle phase-specific analyses using 24-hour recalls. Green salads were commonly eaten and increasing intake of salads may be a useful strategy to impact oxidation in reproductive aged women.
Keywords: Fruit and vegetable intake, oxidative stress, premenopausal women, antioxidant
Introduction
Free radicals and reactive oxygen species are produced as by-products of normal cellular oxidative metabolism. Oxidative stress refers to a condition where overproduction of these byproducts causes damage to components of the body, particularly DNA, lipids, and proteins1. Oxidative stress can be balanced through multiple antioxidant mechanisms, which can stabilize or quench reactive oxygen species. Oxidative stress has been implicated in infertility2, impaired follicular growth3, endometriosis4, spontaneous abortion5, 6, and increased risk of delivering a low birth weight infant7 as well as several chronic degenerative diseases8–10. Greater understanding of the potential mediators of oxidative stress, given the role it may play in reproductive health, is an important issue for reproductive-age women. Dietary strategies have been advocated to reduce the risks associated with oxidative stress, as a myriad of antioxidants can be obtained from the diet.
Fruits and vegetables are rich sources of antioxidants, including vitamins C and E, carotenoids and flavonoids, as well as numerous other phytochemicals11. Some intervention trials have shown decreased levels of oxidative stress markers, such as F2-isoprostanes, with a fruit and vegetable-rich diet12–17. However, other studies of fruit and vegetable intake did not find an association with measures of oxidative stress, perhaps due to small numbers (< 15 adults) in the intervention groups18, 19 or because the intervention was based on a supplement extracted from foods19. Additionally, supplementation with purified antioxidants has not proven to be protective against or chronic disease, and has even resulted in increased risk of disease in some rare cases20–24. With such conflicting results, more evidence is clearly needed to understand the impact of fruit and vegetable intake on oxidative stress levels.
The 2010 Dietary Guidelines for Americans specify a need to increase intake of fruits and vegetables to provide important nutrients, decrease chronic disease risk, and provide a low calorie food choice to maintain a healthy weight25. The USDA 5 A Day campaign recommends 2.5 cups (five serving equivalents) of any combination of fruits and vegetables per day for a typical American adult diet; however, the average American meets only 59% and 42% of the goal for vegetable and fruit intake, respectively26, 27. Previous studies of fruit and vegetable intake or antioxidant supplementation on oxidative stress markers have been mostly limited to diseased populations, or populations with particular risk for oxidative stress (i.e. smokers). Previous work from the BioCycle study found that adherence to a Mediterranean diet was associated with decreased lipid peroxidation28 and that oxidative stress varies across the menstrual cycle29. The 5 A Day recommendation may be a simple, easy-to-remember guide to help improve diet and decrease oxidative stress but no prior studies have examined typical daily consumption of the recommended servings of fruits and vegetables in healthy, young women in relation to oxidative stress while taking menstrual cycle variability into account. This study aims to fill these important data gaps by investigating the association between usual fruit and vegetable intake and biomarkers for oxidative stress and antioxidant status in healthy, premenopausal women.
Methods
Study Design
The BioCycle Study is a prospective cohort study of oxidative stress and hormone variation conducted between 2005 and 2007 in 259 healthy, regularly menstruating women aged 18–44y. Participants were recruited using a variety of community-based approaches (clinics, newspaper advertisements, fliers, etc.) from across western New York and were followed for 1 (n = 9) or 2 (n = 250) menstrual cycles. Most women (71%) were employed and 58% were full-time students during their participation. Exclusion criteria included current use of oral contraceptives or for the past 3 months, regular intake of vitamin and mineral supplements or certain prescription medications; pregnant or breastfeeding in the past 6 months; and diagnosis of chronic medical conditions, including metabolic disorders and gastrointestinal diseases associated with malabsorption. At the initial telephone screening, women with a self-reported height and weight resulting in a body mass index (BMI, kg/m2) <18 or >35 and those with current or planned dietary restrictions for weight loss or medical reasons were excluded. One participant who reported daily multivitamin use in her study diary was excluded, leaving 258 women in this analysis. Details of this study have been previously described30. The University at Buffalo Health Sciences Institutional Review Board (IRB) approved the study, and served as the IRB designated by the National Institutes of Health for this study under a reliance agreement. All participants provided written informed consent.
Participants were followed for up to two menstrual cycles, with up to eight clinic visits per cycle, timed to cycle phase using fertility monitors to correspond to menses, mid-follicular phase, late-follicular phase, luteinizing hormone (LH)/follicle-stimulating hormone (FSH) surge, predicted ovulation, and early luteal, mid-luteal, and late luteal phases30, 31. These visits correspond to approximately days 2, 7, 12, 13, 14, 18, 22, and 27 of a standardized 28 day cycle. Collection and handling protocols were designed to minimize variability in preanalytic factors, as previously described32. The study population was highly compliant, with 94% of women completing ≥7 clinic visits/cycle and 100% completing at least five visits/cycle, with fewer visits typically due to shorter cycles.
Dietary Assessment
Nutrient data was collected using a food frequency questionnaire (FFQ) developed and validated by the Nutrition Assessment Shared Resource (NASR) of the Fred Hutchinson Cancer Research Center (FHCRC). The semi-quantitative FFQ was administered three times, once at baseline to determine usual intake over the past 6 months and once at the end of each of two cycles to determine usual intake in the month of the previous cycle. The FFQ was administered at the appointment occurring in the late luteal phase of the menstrual cycle and was reviewed by staff to ensure completion of the questionnaire. At least one cycle-specific FFQ was available for 97% of participants.
Additionally, 24-hour dietary recalls were conducted up to four times per cycle (menses, mid-follicular phase, ovulation, and mid-luteal phase), on days corresponding with blood sample collection, for a total of up to eight recalls over two cycles. All participants completed ≥2 dietary recalls per cycle, and the majority (87%) completed 4 recalls per cycle. For both the FFQ and 24-hour recalls, average daily fruit and vegetable servings were calculated using the 5 A Day method, summing servings across fruit and vegetable items33, 34. A vegetable serving was defined as 1 cup (250 mL) of raw leafy vegetables, ½ cup (125 mL) of other cooked or raw vegetables, or ½ cup (125 mL) of vegetable juice. A serving of fruit was defined as 1 medium fruit, ½ cup (125 mL) of chopped, cooked, or canned fruit, ¼ cup (62.5 mL) of dried fruit, or ¾ cup (187.5 mL) of 100% fruit juice.
All dietary data were analyzed using the Nutrition Data System for Research software version 2005, developed by the Nutrition Coordinating Center, University of Minnesota, Minneapolis, MN.
Biological Specimens
Collection of fasting blood samples was scheduled to occur between 0700 and 0830 hours at each cycle visit. All lipid peroxidation measurements were performed using EDTA anticoagulated blood plasma. Free F2-isoprostanes were the primary marker of lipid peroxidation, as it is considered to be the gold standard35. The performance characteristics of the analytical laboratory methods have been previously described in detail36, 37. F2-isoprostanes were measured in plasma with a gas chromatography-mass spectrometry-based method by the Molecular Epidemiology and Biomarker Research Laboratory (University of Minnesota, Minneapolis, MN) (9.4% Coefficient of Variation [CV]). 9-hydroxyoctadecadieneoic acid (9-HODE, 9.0% CV) and 13-hydroxyoctadecadienoic acid (13-HODE, 9.2% CV) were determined by HLPC with diode array detection at 234 nanometers (nm)38. Fat-soluble antioxidant vitamins and micronutrients were measured in duplicate at the University at Buffalo (Buffalo, NY). Serum retinol (6.2% CV), carotenoids (β-carotene, β-cryptoxanthin, lycopene and lutein; 5.3%, 6.0%, 7.6%, and 6.6% CVs, respectively), and tocopherols (α- and γ-tocopherol; 5.0% and 4.6% CVs, respectively) were measured simultaneously by HPLC39. The dinitrophenylhydrazine method was used to determine total ascorbic acid (9.6% CV) in heparin plasma which was stabilized immediately at collection in 6% meta-phosphoric acid40.
Antioxidant enzymes were measured using kinetic enzyme assays adapted to the Cobas Fara II autoanalyzer (Roche Diagnostic Systems, Inc., Basel, Switzerland)41. Erythrocyte superoxide dismutase (SOD) activity was determined by the inhibition of the oxidation of cytochrome C by xanthine/xanthine oxidase (4.6% CV). One unit of SOD activity was defined as the amount of enzyme needed for 50% inhibition of the reaction. Erythrocyte glutathione peroxidase (GPx; 5.0% CV) and erythrocyte glutathione reductase (GSHR; 3.7% CV) were performed using OxiTek reagent kits from ZeptoMetrix (Buffalo, NY). Erythrocyte enzyme activities were normalized per gram of hemoglobin (Hb)37.
Covariate Assessment
At baseline, height (m) and weight (kg) were measured using standard protocols and used to calculate BMI. Participants completed questionnaires regarding reproductive health history, lifestyle, family, and physical activity. Standard International Physical Activity Questionnaire cut points42 were used to create high, moderate, and low physical activity categories. In daily diaries, women recorded intake of medications, supplements, and/or vitamins.
Statistical Analysis
Descriptive statistics
Descriptive statistics for continuous and categorical covariates were compared between women meeting and not meeting the 5 A Day recommendation based on the average consumption from all 24-hour recalls (≤8 per woman) using ANOVA or Fisher's exact test, as appropriate. Total energy intake was averaged across all 24-hour recalls in the descriptive tables. Mean levels of lipid peroxidation, antioxidant enzymes, and antioxidant vitamins by menstrual cycle phase were compared between women meeting and not meeting the 5 A Day recommendation based on the average consumption per cycle (≤4 recalls per cycle) using repeated measures ANOVA. Descriptive results for FFQ measures were similar and are not presented.
Multivariable models
Oxidative stress and antioxidant measures (up to 8 measures per woman for each cycle) were analyzed in association with fruit and vegetable servings reported in the same cycle using linear mixed models that accounted for repeated measures and the correlation between and within participants. All analyses compared meeting the 5 A Day recommendation to not meeting it. For analyses based on the FFQ, the fruit and vegetable intake for each cycle was used to categorize women for that cycle. For analyses based on 24-hour recalls: dietary recall during menses was paired with oxidative stress measures during menses; dietary recall during the mid-follicular phase with mid-follicular oxidative stress measures, dietary recall on the day of predicted ovulation with the oxidative stress measures during the three peri-ovulatory period visits (late-follicular, LH/FSH surge, predicted ovulation) and dietary recall on the mid-luteal visit with early, mid, and late luteal phase oxidative stress measures. Women could change categories by cycle (FFQ and 24-hour recall analyses) and by menstrual cycle phase (24-hour recall analyses). Lipid peroxidation markers, antioxidant enzymes, and antioxidant vitamins were log transformed to improve fit in multivariable models. Models based on 24-hour recall are menstrual-cycle phase specific while those based on FFQ relate the typical diet for each cycle to multiple measures of oxidative stress in that cycle.
Covariates considered for inclusion in multivariate models were determined a priori after a review of prior literature and included: age (continuous), energy intake (continuous), clinically-measured BMI (continuous), race (Caucasian, African-American, Asian, other), smoking status (never, current/past), physical activity (low/moderate, high), marital status (married, not married), parity (0, ≥1), income (<$19,999; $20,000–39,999; $40,000–74,999; ≥$75,000), education (completed high school, did not complete high school), and past oral contraceptive use (yes, no). Variables were included in the final adjusted model if they also changed the exposure coefficient by >15% and were significant at p=0.10 in either the FFQ or 24-hour cycle specific model. The final adjusted model controlled for age, energy intake, race, income, marital status, parity, and former oral contraceptive use. SAS version 9.2 (SAS Institute, Cary, NC) was used for all statistical analyses. All testing was based on a priori hypotheses and no adjustments were made for multiple comparisons.
Results
Demographics
Overall, this cohort consisted of young women (mean age: 27.3 years, range 18–44) who were of healthy weight (mean BMI: 24.1 kg/m2) and were non-smokers (Table 1). Most had completed high school (87.2%), were not married (74.8%), and had no children (74.2%). The women in this cohort had low overall fruit and vegetable intake (median=2.71 servings/d). Women who met the 5 A Day recommendation (17.8% of all subjects) tended to be older, were more likely to be Caucasian and have higher income. They were also more likely to be married, have children, and to be prior oral contraceptive users. Meeting the 5 A Day recommendation was associated with greater energy intake, but no differences were observed with respect to BMI, physical activity, education, and smoking.
Table 1.
Participant Characteristics | Met the 5 A Day recommendation1 | |||
---|---|---|---|---|
Total Cohort | Yes | No | p-value2 | |
n (% of total) | 258 | 46 (17.8) | 212 (82.2) | |
Demographics | ||||
Age, y, mean (SE) | 27.3 ± 0.51 | 29.3 ± 1.2 | 26.8 ± 0.6 | 0.0596 |
BMI, kg/m2, mean (SE) | 24.1 ± 0.24 | 23.6 ± 0.6 | 24.2 ± 0.3 | 0.3789 |
Physical Activity, n (%) | 0.208 | |||
Low | 25 (9.7) | 2 (4.4) | 23 (10.9) | |
Moderate | 92 (35.7) | 21 (45.7) | 71 (33.5) | |
High | 141 (54.7) | 23 (50.0) | 118 (55.7) | |
Race, n (%) | 0.0134 | |||
Caucasian | 153 (59.3) | 36 (78.3) | 117 (55.2) | |
African-American | 51 (19.8) | 5 (10.9) | 46 (21.7) | |
Asian | 39 (15.1) | 2 (4.4) | 37 (17.5) | |
Other | 15 (5.8) | 3 (6.5) | 12 (5.7) | |
Income, n (%) | 0.0983 | |||
<$19,999 | 55 (21.5) | 4 (8.7) | 51 (24.3) | |
$20,000–39,999 | 61 (23.8) | 14 (30.4) | 47 (22.4) | |
$40,000–74,999 | 71 (27.7) | 14 (30.4) | 57 (27.1) | |
≥75,000 | 69 (27.0) | 14 (30.4) | 55 (26.2) | |
Completed High School, n (%) | 225 (87.2) | 42 (91.3) | 183 (86.3) | 0.4690 |
Marital Status, n (%) | 0.0011 | |||
Married | 65 (25.2) | 21 (45.7) | 44 (20.8) | |
Not Married | 193 (74.8) | 25 (54.4) | 168 (79.3) | |
Parity, n (%) | 0.0263 | |||
0 | 187 (74.2) | 28 (60.9) | 159 (77.2) | |
≥1 | 65 (25.8) | 18 (39.1) | 47 (22.8) | |
Past or current smoker, n (%) | 10 (3.9) | 2 (4.4) | 8 (3.8) | 0.6941 |
Past OC use, n (%) | 139 (54.7) | 36 (78.3) | 103 (49.5) | 0.0005 |
Total energy3, kcal, mean (SE) | 1605.5 ± 22.0 | 1806.2 ± 50.4 | 1562.0 ± 23.5 | <.0001 |
Based on the average 24-hour recall levels for each cycle.
Based on ANOVA for continuous measures and Fisher's exact test for categorical measures.
Based on the average of all 24-hour recalls (≤8 measures).
5 A Day fruit And Vegetable Intake in Relation to Concentrations of Lipid Peroxidation and Antioxidants
F2-isoprostanes were observed to be significantly lower across the menstrual cycle among women who consume 5 A Day (p<0.05), but no differences were observed for 9-HODE or 13-HODE (Table 2). SOD was also lower among those meeting the recommendation (p<0.005) with no significant differences in GPx or GSHR levels. With regard to anti-oxidant vitamins, most were significantly higher when 5 A Day was met including α-tocopherol, ascorbic acid, retinal, lutein, β-carotene and β-cryptoxanthin. An inverse association was observed for γ-tocopherol and lycopene was not related to 5 A Day consumption.
Table 2.
Cycle Phase | Menses | Mid-Follicular | Late-Follicular | LH/FSH surge | Predicted ovulation | Early Luteal | Mid-Luteal | Late-Luteal | ||
---|---|---|---|---|---|---|---|---|---|---|
Standardized Cycle Day | Day 21 | Day 7 | Day 12 | Day 13 | Day 14 | Day 18 | Day 22 | Day 27 | ||
Met 5A Day2 | Mean (se) | Mean (se) | Mean (se) | Mean (se) | Mean (se) | Mean (se) | Mean (se) | Mean (se) | p-value3 | |
Lipid Peroxidation | ||||||||||
F2-Isoprostanes, pg/mL | Yes | 60.27 (4.166) | 49.93 (4.145) | 48.71 (4.124) | 48.76 (4.145) | 46.68 (4.166) | 48.77 (4.209) | 45.78 (4.253) | 48.79 (4.919) | 0.0495 |
No | 57.03 (2.060) | 53.98 (2.065) | 52.38 (2.057) | 53.30 (2.060) | 50.71 (2.075) | 51.61 (2.088) | 52.52 (2.107) | 52.75 (2.354) | ||
9-HODE, μmol/L | Yes | 0.22 (0.022) | 0.23 (0.022) | 0.19 (0.022) | 0.20 (0.022) | 0.18 (0.022) | 0.19 (0.022) | 0.23 (0.022) | 0.19 (0.026) | 0.5985 |
No | 0.21 (0.011) | 0.20 (0.011) | 0.21 (0.011) | 0.22 (0.011) | 0.21 (0.011) | 0.21 (0.011) | 0.21 (0.011) | 0.18 (0.012) | ||
13-HODE, μmol/L | Yes | 0.26 (0.031) | 0.27 (0.030) | 0.24 (0.030) | 0.25 (0.030) | 0.21 (0.030) | 0.26 (0.030) | 0.27 (0.031) | 0.28 (0.036) | 0.9332 |
No | 0.27 (0.015) | 0.24 (0.015) | 0.25 (0.015) | 0.27 (0.015) | 0.26 (0.015) | 0.27 (0.015) | 0.27 (0.015) | 0.23 (0.017) | ||
Antioxidant Enzymes | ||||||||||
SOD, IU/g Hb | Yes | 4612.76 (93.471) | 4655.10 (93.003) | 4618.97 (93.003) | 4674.52 (92.541) | 4732.84 (93.003) | 4553.60 (94.920) | 4588.72 (94.920) | 4542.64 (110.370) | 0.0046 |
No | 4714.97 (46.213) | 4702.57 (46.271) | 4717.23 (46.213) | 4764.73 (46.156) | 4713.48 (46.386) | 4752.86 (46.677) | 4756.00 (47.337) | 4741.99 (52.907) | ||
GPx, IU/g Hb | Yes | 36.24 (1.438) | 35.50 (1.423) | 36.65 (1.438) | 37.23 (1.423) | 37.07 (1.430) | 36.05 (1.460) | 36.82 (1.460) | 36.13 (1.698) | 0.9464 |
No | 35.45 (0.712) | 36.04 (0.712) | 36.66 (0.711) | 37.16 (0.711) | 36.35 (0.714) | 35.95 (0.718) | 37.02 (0.728) | 37.01 (0.811) | ||
GSHR, IU/g Hb | Yes | 4.04 (0.132) | 3.88 (0.131) | 3.91 (0.131) | 3.80 (0.131) | 3.87 (0.131) | 3.81 (0.134) | 3.79 (0.134) | 3.77 (0.156) | 0.708 |
No | 3.86 (0.065) | 3.84 (0.065) | 3.82 (0.065) | 3.85 (0.065) | 3.80 (0.066) | 3.79 (0.066) | 3.87 (0.067) | 3.92 (0.075) | ||
Antioxidant Vitamins | ||||||||||
α-Tocopherol, μg/mL | Yes | 8.42 (0.238) | 8.75 (0.234) | 8.63 (0.236) | 8.73 (0.226) | 8.51 (0.236) | 8.58 (0.239) | 8.58 (0.242) | 8.53 (0.282) | <.0001 |
No | 8.06 (0.118) | 8.33 (0.118) | 8.20 (0.118) | 8.21 (0.118) | 8.13 (0.119) | 8.09 (0.119) | 8.12 (0.121) | 7.9 2 (0.135) | ||
γ-Tocopherol, μg/mL | Yes | 1.75 (0.070) | 1.72 (0.069) | 1.70 (0.069) | 1.61 (0.069) | 1.68 (0.069) | 1.73 (0.070) | 1.68 (0.071) | 1.64 (0.082) | <.0001 |
No | 1.80 (0.035) | 1.85 (0.035) | 1.84 (0.035) | 1.85 (0.035) | 1.80 (0.035) | 1.85 (0.035) | 1.81 (0.036) | 1.80 (0.040) | ||
Ascorbic acid, mg/dL | Yes | 1.87 (0.055) | 1.9 4 (0.054) | 1.95 (0.054) | 1.92 (0.054) | 1.94 (0.054) | 1.96 (0.056) | 1.96 (0.056) | 2.00 (0.065) | <.0001 |
No | 1.69 (0.027) | 1.74 (0.027) | 1.71 (0.027) | 1.74 (0.027) | 1.74 (0.027) | 1.75 (0.027) | 1.76 (0.028) | 1.70 (0.031) | ||
Retinol, μg/mL | Yes | 0.37 (0.009) | 0.40 (0.008) | 0.40 (0.008) | 0.39 (0.008) | 0.40 (0.008) | 0.39 (0.009) | 039 (0.009) | 0.38 (0.010) | <.0001 |
No | 0.36 (0.004) | 0.38 (0.004) | 0.37 (0.004) | 0.38 (0.004) | 0.38 (0.004) | 0.37 (0.004) | 0.37 (0.004) | 0.36 (0.005) | ||
Lutein, μg/mL | Yes | 0.14 (0.005) | 0.15 (0.005) | 0.15 (0.005) | 0.15 (0.005) | 0.15 (0.005) | 0.14 (0.005) | 0.14 (0.005) | 0.14 (0.006) | <.0001 |
No | 0.12 (0.003) | 0.12 (0.003) | 0.12 (0.003) | 0.12 (0.003) | 0.12 (0.003) | 0.12 (0.003) | 0.12 (0.003) | 0.12 (0.003) | ||
Lycopene, μg/mL | Yes | 0.44 (0.019) | 0.46 (0.019) | 0.47 (0.019) | 0.46 (0.019) | 0.46 (0.019) | 0.46 (0.019) | 0.48 (0.019) | 0.49 (0.023) | 0.6803 |
No | 0.46 (0.009) | 0.47 (0.009) | 0.47 (0.009) | 0.47 (0.009) | 0.47 (0.009) | 0.47 (0.009) | 0.48 (0.010) | 0.47 (0.011) | ||
β-Carotene, μg/mL | Yes | 0.25 (0.014) | 0.27 (0.013) | 0.26 (0.013) | 0.26 (0.013) | 0.25 (0.013) | 0.26 (0.014) | 0.26 (0.014) | 0.27 (0.016) | <.0001 |
No | 0.17 (0.007) | 0.18 (0.007) | 0.18 (0.007) | 0.18 (0.007) | 0.18 (0.007) | 0.19 (0.007) | 0.18 (0.007) | 0.18 (0.008) | ||
β-Cryptoxanthin, μg/mL | Yes | 0.11 (0.006) | 0.12 (0.006) | 0.12 (0.006) | 0.12 (0.006) | 0.12 (0.006) | 0.12 (0.006) | 0.12 (0.006) | 0.12 (0.007) | <.0001 |
No | 0.09 (0.003) | 0.09 (0.003) | 0.09 (0.003) | 0.09 (0.003) | 0.09 (0.003) | 0.09 (0.003) | 0.09 (0.003) | 0.09 (0.003) |
Table Notes: N of women=258; n of cycles = 507.
Number of cycles meeting 5 A Day ranges: day 2 (96–99); day 7 (99–101); day 12 (98–101); day 13 (98–101); day 14 (97–100); day 18 (94–97); day 22 (93–96); day 27 (68–71).
Number of cycles not meeting 5 A Day ranges: day 2 (379–405); day 7 (380–404); day 12 (379–406); day 13 (379–406); day 14 (372–402); day 18 (373–397); day 22 (362–387); day 27 (289–311).
Measures were standardized to cycle phase using a fertility monitor.
Based on the average 24-hour recall levels for each cycle.
Based on repeated measures ANOVA.
In multivariable analyses (Table 3), results were generally consistent for both cycle phase- specific models based on 24-hour recalls and the typical diet analysis based on cycle-specific FFQ. All effect estimates for lipid peroxidation markers were in the expected direction, with lower levels when 5 A Day was met, but only F2-isoprostanes were significantly lower after adjustment. This difference may reflect the fact that total HODEs and free F2 isoprostanes represent lipid peroxides derived from different parent lipid molecules (linoleic and arachidonic acids, respectively) as well as different lipid peroxidation processes which may vary in response to the same dietary influences. We also anticipated lower antioxidant enzyme status with 5 A Day and that pattern of results was somewhat stronger for the typical diet analysis based on FFQ where GSHR was significantly lower. Ascorbic acid, lutein, β-carotene and β-cryptoxanthin were all significantly increased in both cycle phase-specific (24-hour recall) and cycle-specific (FFQ) models when 5 A Day was met. Α-tocopherol was significantly increased in the phase-specific model only and no differences were observed for γ-tocopherol, retinol or lycopene.
Table 3.
Oxidative Stress Markers | Met the 5 A Day Recommendation | ||
---|---|---|---|
No (reference category) | Yes 24-hour recall timed to menstrual cycle phase1 | Yes FFQ typical diet by menstrual cycle2 | |
Lipid Peroxidation | |||
F2-Isoprostanes, pg/mL | 1.00 | −0.10 (−0.12, −0.07) | −0.14 (−0.18, −0.11) |
9-HODE, μmol/L | 1.00 | −0.02 (−0.08, 0.03) | −0.04 (−0.11, 0.04) |
13-HODE, μmol/L | 1.00 | −0.03 (−0.09, 0.04) | −0.08 (−0.16, 0.002) |
Antioxidant Enzymes2 | |||
SOD, IU/g Hb | 1.00 | −0.01 (−0.02, 0.01) | −0.004 (−0.02, 0.02) |
GVx, IU/g Hb | 1.00 | 0.02 (−0.01, 0.05) | −0.02 (−0.05, 0.02) |
GSHR, IU/g Hb | 1.00 | 0.01 (−0.003, 0.05) | −0.05 (−0.09, −0.02) |
Antioxidant Vitamins | |||
α-Tocopherol (μg/mL) | 1.00 | 0.02 (0.01, 0.04) | 0.007 (−0.02, 0.03) |
γ-Tocopherol (μg/mL) | 1.00 | −0.03 (−0.06, 0.001) | −0.04 (−0.08, 0.005) |
Ascorbic acid (mg/dL) | 1.00 | 0.10 (0.08, 0.12) | 0.10 (0.07, 0.12) |
Retinol (μg/mL) | 1.00 | 0.001 (−0.01, 0.02) | 0.01 (−0.007, 0.03) |
Lutein (μg/mL) | 1.00 | 0.14 (0.11, 0.18) | 0.33 (0.28, 0.37) |
Lycopene (μg/mL) | 1.00 | 0.02 (−0.02, 0.05) | −0.04 (−0.08, 0.01) |
β-Carotene (μg/mL) | 1.00 | 0.30 (0.25, 0.35) | 0.38 (0.32, 0.44) |
β-Cryptoxanthin (μg/mL) | 1.00 | 0.28 (0.24, 0.32) | 0.35 (0.30, 0.40) |
Table Note: Models are adjusted for age, race, income, marital status, parity, past oral contraceptive use and energy intake.
Linear mixed models assessed up to 8 oxidative stress measures in association with up to 4 24-hour recall by menstrual cycle phase (dietary recall during menses was paired with oxidative stress measures during menses; dietary recall during the mid-follicular phase with mid-follicular oxidative stress measures, dietary recall on the day of predicted ovulation with the oxidative stress measures during the three peri-ovulatory period visits (late-follicular, LH/FSH surge, predicted ovulation) and dietary recall on the mid-luteal visit with early, mid, and late luteal phase oxidative stress measures) accounting for repeated measures.
Linear mixed models assessed the association with FFQ for each menstrual cycle with up to 8 oxidative stress measures per cycle accounting for repeated measures.
Discussion
Among healthy premenopausal women, we observed that meeting the 5 A Day recommendation was associated with lower concentrations of lipid peroxidation, as measured by F2-isoprostanes, with lower concentrations of erythrocyte antioxidant enzymes, specifically SOD (in unadjusted models),and GSHR (after adjustment), and higher concentrations of most plasma/serum antioxidant vitamins. These findings are particularly relevant for reproductive-age women, as oxidative stress has been implicated in infertility and poor birth outcomes in addition to a host of chronic diseases2–7, 9, 10.
No prior studies have focused on young adult women or have looked at the efficacy of the 5 A Day recommendation in terms of oxidative stress, but other investigations have reported an inverse relationship between fruit and vegetable intake and biochemical oxidative stress measures12, 43, 44. A cross-sectional analysis of male and female adolescents (mean age: 15 y, n=285) found a substantial inverse association between total fruit and vegetable intake and F2-isoprostanes, primarily explained by vitamin C and folate intake (41). Studies in older adults report similar findings9, 44. A randomized intervention showed that increased Brassica vegetable intake, but not a micronutrient supplement, decreased F2-isoprostane levels in men and postmenopausal women (mean age: 57 y, n=20), providing evidence that the vegetables impacted oxidative stress where supplementation did not9. The Study of Women's Health Across the Nation showed that in nonsmoking women (ages 42–52 y) greater daily vegetable intake was associated with a lower concentration of urinary F2-isoprostanes44 Our findings support the notion that increased fruit and vegetable consumption is associated with lower F2-isoprostane levels and we observed a similar effect when 5 A Day was met within menstrual cycle phase as with typical diet.
Fruits and vegetables are thought to ameliorate oxidative stress partially due to their high antioxidant content. As anticipated, we observed increased levels of α-tocopherol, lutein, β-carotene, β-cryptoxanthin, and ascorbic acid when the 5 A Day recommendation was met. In general, we observed lower levels of antioxidant enzyme activity among women who met the 5 A Day recommendation, particularly for typical diet, consistent with the explanation that more activity is required in the presence of higher oxidative stress45, 46. Erythrocyte activity of SOD, GPx, and GSHR were generally inversely associated with servings of fruits and vegetables but only GSHR was significant in the adjusted model.
This study, while it expands on previous research, has several limitations. The BioCycle cohort is has strict inclusion criteria which results in a healthy, normal weight, sample of women with regular menstrual cycles and no recent pregnancy or hormonal contraception. These inclusion criteria strengthen the internal validity of the study by limiting known sources of variability in the complex biologic measures under study, but do limit generalizability. However, young adult women are not well studied in previous investigations of dietary intake and oxidative stress and our analysis fills an important knowledge gap – whether or not the straightforward message to eat 5 A Day is associated with changes in biomarkers of oxidative stress and antioxidant defense in healthy young women. A particular strength of the BioCycle Study is the multiple measures of lipid peroxidation, antioxidant enzymes and vitamins which were measured up to 8 times over the course of each menstrual cycle. Our measures of fruit and vegetable consumption are all based on self-reported intake. We used FFQs to capture typical consumption for each cycle recognizing that this method might be subject to recall bias but comparison to 24-hour recalls in the same study period and cycle phase-specific analyses yielded similar findings. We also conducted analyses using fruit and vegetable servings as a continuous measure and categorized by servings up to 5 A Day, all with generally similar findings. Finally, oxidative stress measures are known to vary across the menstrual cycle, specifically increased F2-isoprostanes associated with estrogen levels29, and these analyses take this important source of variability into account. Our analyses considered both typical consumption and cycle phase-specific associations in evaluating the 5 A Day recommendation.
Of note is that 5 A Day and the Dietary Guidelines for Americans, 2010, do not exclude starchy vegetables like potatoes from their recommendations to increase fruit and vegetable consumption. We recognize that white potatoes products can be an indicator of an unhealthy diet47 but also note that potatoes are a good source of vitamin C48. Since potatoes are commonly eaten and they are part of the 5 A Day recommendation, we include them in the calculation of servings for our analyses. As such, our findings reinforce the simple message that increasing fruit and vegetable consumption and meeting 5 A Day is associated with lower oxidative stress.
A potentially successful avenue for increasing fruit and vegetable consumption is to encourage more consumption of foods already being eaten. While ketchup and fried potatoes were eaten by 70–85% of women in our study, they were the most commonly eaten servings among the lowest fruit and vegetable consumers, possibly explaining the lack of association for lycopene since ketchup is a major source of lycopene49. Green salads were the 3rd most common serving for the lowest consumers but they were the most common serving for all other women. Given the acceptability of green salads to this population, they may represent a key avenue for increasing fruit and vegetable consumption. Strategies that encourage adding volume and/or additional vegetables and fruits to green salads and mixed dishes is a potentially easy and acceptable way to change the eating habits of young adult women to include more servings of fruits and vegetables.
In summary, we found that self-report of meeting the 5 A Day recommendation was associated with lower biomarkers of oxidative stress and improved antioxidant defense. For isoprostanes, benefits were consistently observed for both a menstrual cycle phase-specific analysis and an analysis of typical diet by cycle. Women who consume very low levels of fruits and vegetables may be encouraged to eat more fruits and vegetables in green salads and mixed dishes as a strategy to increase their average daily servings and potentially impact their oxidative stress measures.
Acknowledgments
This research was supported by the Intramural Research Program of the NIH, Eunice Kennedy Shriver National Institute of Child Health and Human Development.
Abbreviations used
- 9-HODE
9-hydroxyoctadecadienoic acid
- 13-HODE
13-hydroxyoctadecadieneoic acid
- DNPH
dinitrophenylhydrazine
- SOD
superoxide dismutase
- GPx
glutathione peroxidase
- GSHR
glutathione reductase
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
The authors' responsibilities were as follows- JWW and EFS designed and conducted research; SMR, PM, SLM, and JKP analyzed data; SMR and PM wrote the manuscript and had primary responsibility for final content; PM, SLM, EFS, RWB, NJP and JWW critically revised manuscript for important intellectual content.
None of the authors have a personal or financial conflict of interest.
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