| Literature DB >> 27747795 |
Sabina Cauci1, Cinzia Buligan2, Micaela Marangone2, Maria Pia Francescato2.
Abstract
BACKGROUND: Oxidative stress in female athletes is understudied. We investigated oxidative stress in sportswomen of different disciplines according to combined oral contraceptive (OC) use and lifestyle/alimentary habits.Entities:
Keywords: Alimentary habits; Antioxidant defense; Contraceptive pill; Desogestrel, Drospirenone, Cyproterone, Hormonal contraception; Estrogen; Free radicals; Lipid peroxidation; Physical activity; Progestin; Third generation pill
Year: 2016 PMID: 27747795 PMCID: PMC5031583 DOI: 10.1186/s40798-016-0064-x
Source DB: PubMed Journal: Sports Med Open ISSN: 2198-9761
Demographic, lifestyle, alimentary characteristics, and oxidative stress (by FORT units) of 144 study sportswomen, comparison between the 42 OC users and 102 non-OC users
| Characteristic | All athletes | OC users | Non-OC users |
|
|---|---|---|---|---|
| Sport activity, hours week−1 | 9.2 ± 4.15 | 9.3 ± 5.60 | 9.1 ± 3.40 | 0.64b |
| Elite athletes (national/international), | 27 (18.7) | 7 (16.7) | 20 (19.6) | 0.68c |
| Age, years | 23.4 ± 4.17 | 23.4 ± 3.62 | 23.4 ± 4.40 | 0.67b |
| Weight, kg | 61.5 ± 8.69 | 61.2 ± 7.79 | 61.6 ± 9.07 | 0.86b |
| Height, cm | 170 ± 6.81 | 170 ± 6.97 | 170 ± 6.76 | 0.76b |
| BMI, kg m−2 | 21.2 ± 2.20 | 21.2 ± 2.02 | 21.1 ± 2.28 | 0.78b |
| University education, | 104 (72.2) | 34 (81.0) | 70 (68.6) | 0.13c |
| Married or separated/divorced, | 12 (8.3) | 1 (2.4) | 11 (10.8) | 0.18d |
| Nulliparity, | 143 (99.3) | 42 (100) | 101 (99.0) | 1.00d |
| Smokers, | 33 (22.9) | 14 (33.3) | 19 (18.6) | 0.06c |
| Cigarettes, day−1 | 1.1 ± 3.05 | 1.4 ± 2.41 | 1.0 ± 3.28 | 0.06b |
| Coffee drinkers, | 116 (80.6) | 32 (76.1) | 84 (82.4) | 0.40c |
| Coffee, cups day−1 | 1.5 ± 1.14 | 1.3 ± 1.12 | 1.6 ± 1.15 | 0.13b |
| Tea drinkers, | 104 (72.2) | 34 (81.0) | 70 (68.6) | 0.13c |
| Tea, cups day−1 | 0.5 ± 0.65 | 0.7 ± 0.62 | 0.4 ± 0.52 | 0.018b |
| Milk, cups week−1 | 4.1 ± 3.68 | 3.0 ± 2.98 | 4.5 ± 3.86 | 0.012b |
| Chocolate, 50 g servings week−1 | 2.0 ± 1.91 | 1.3 ± 1.35 | 2.3 ± 2.05 | 0.010b |
| Bread, 50 g servings week−1 | 7.0 ± 3.51 | 6.8 ± 3.85 | 7.0 ± 3.36 | 0.62b |
| Rice, 80 g servings week−1 | 1.2 ± 1.05 | 1.2 ± 0.86 | 1.2 ± 1.13 | 0.24b |
| Pasta, 100 g servings week−1 | 3.8 ± 1.80 | 3.6 ± 1.50 | 3.9 ± 1.92 | 0.55b |
| Fruits, 200 g servings week−1 | 7.0 ± 5.36 | 6.4 ± 3.91 | 7.2 ± 5.87 | 0.87b |
| Tomato/eggplant/pepper, plates week−1 | 2.2 ± 2.08 | 2.6 ± 1.99 | 2.1 ± 2.12 | 0.12b |
| Fresh vegetables, plates week−1 | 7.9 ± 4.23 | 7.7 ± 4.22 | 8.1 ± 4.25 | 0.35b |
| Legumes, plates week−1 | 0.7 ± 0.84 | 0.9 ± 1.11 | 0.6 ± 0.67 | 0.17b |
| Cheese, 50 g servings week−1 | 2.8 ± 2.06 | 2.5 ± 1.79 | 2.9 ± 2.16 | 0.45b |
| Eggs, number week−1 | 0.9 ± 0.70 | 0.8 ± 0.73 | 0.9 ± 0.69 | 0.24b |
| Red meat, 150 g servings week−1 | 1.7 ± 1.14 | 1.7 ± 1.07 | 1.7 ± 1.18 | 0.82b |
| Total meat (any type), 150 g servings week−1 | 4.0 ± 1.75 | 3.7 ± 1.62 | 4.2 ± 1.80 | 0.26b |
| Sausages, 50 g servings week−1 | 1.82 ± 1.42 | 1.7 ± 1.09 | 1.9 ± 1.54 | 0.77b |
| Fish, 200 g servings week−1 | 1.1 ± 0.86 | 1.1 ± 0.87 | 1.1 ± 0.86 | 0.97b |
| Yogurt, 125 g servings week−1 | 2.0 ± 2.10 | 2.1 ± 2.12 | 2.0 ± 2.11 | 0.64b |
| Sweet cakes, 50 g servings week−1 | 5.2 ± 3.48 | 4.6 ± 3.74 | 5.5 ± 3.34 | 0.11b |
| Wine, 125 mL glasses week−1 | 0.8 ± 1.38 | 1.0 ± 1.46 | 0.8 ± 1.35 | 0.46b |
| Beer, 200 mL glasses week−1 | 1.4 ± 2.18 | 2.1 ± 3.13 | 1.1 ± 1.53 | 0.10b |
| Spirits, 40 mL glasses week−1 | 0.3 ± 0.57 | 0.3 ± 0.46 | 0.3 ± 0.61 | 0.62b |
| Total alcohol grams week−1 | 40 ± 49.9 | 52 ± 67.2 | 35 ± 39.6 | 0.25b |
| Supplement use, | 34 (23.6) | 14 (33.3) | 20 (19.6) | 0.08c |
BMI body mass index
aItalian espresso coffee cups
b p comparison of OC users and non-OC users by two-tailed Mann-Whitney test
c p comparison of OC users and non-OC users by two-tailed Pearson’s chi-squared test, as appropriate
d p comparison of OC users and non-OC users by two-tailed Fisher’s exact test, as appropriate
Fig. 1Hydroperoxide levels in female athletes according to OC use. Box and whiskers plots comparing the hydroperoxide values (in FORT units) in non-OC users and OC-user female athletes, respectively. Horizontal line is the median, box represents interquartile, and whiskers represent extreme values
Relationships of continuous lipid peroxidation values (in FORT units) with other parameters by two-tailed Spearman correlation coefficient (r ) in the 42 OC users and 102 non-OC users
| Characteristic | OC users | Non-OC users |
|---|---|---|
| Sport activity, hours week−1 | −0.18 | 0.11 |
| Age, years | −0.10 | 0.06 |
| Weight, kg | −0.19 | 0.26** |
| Height, cm | −0.26 | 0.02 |
| BMI, kg m−2 | 0.01 | 0.30** |
| Time of OC use, months | 0.03 | − |
| Cigarettes, day−1 | −0.19 | −0.09 |
| Coffee, cupsa day−1 | −0.25 | −0.10 |
| Tea, cups day−1 | 0.16 | 0.16 |
| Milk, cups week−1 | 0.07 | 0.10 |
| Chocolate, 50 g servings week−1 | −0.11 | −0.29** |
| Bread, 50 g servings week−1 | −0.19 | −0.16 |
| Rice, 80 g servings week−1 | 0.06 | −0.14 |
| Pasta, 100 g servings week−1 | 0.02 | 0.03 |
| Fruits, 200 g servings week−1 | −0.19 | −0.10 |
| Tomato/eggplant/pepper, plates week−1 | −0.04 | 0.01 |
| Fresh vegetables, plates week−1 | −0.28^ | 0.02 |
| Legumes, plates week−1 | −0.04 | 0.07 |
| Cheese, 50 g servings week−1 | −0.11 | −0.10 |
| Eggs, servings week−1 | −0.12 | 0.13 |
| Red meat, 150 g servings week−1 | −0.01 | −0.17 |
| Total meat (any type), 150 g servings week−1 | 0.15 | −0.13 |
| Sausages, 50 g servings week−1 | −0.08 | 0.01 |
| Fish, 200 g servings week−1 | −0.18 | −0.22* |
| Yogurt, 125 g servings week−1 | −0.02 | −0.12 |
| Sweet cakes, 50 g servings week−1 | −0.14 | 0.07 |
| Wine, 125 mL glasses week−1 | 0.09 | 0.01 |
| Beer, 200 mL glasses week−1 | 0.17 | 0.08 |
| Spirits, 40 mL glasses week−1 | −0.05 | 0.11 |
| Total alcohol, grams week−1 | 0.09 | 0.13 |
Significant findings are indicated in italics. Superscript “^” indicated a tendency
BMI body mass index
*p < 0.05; **p < 0.01
aItalian espresso coffee cups