Negative Mood Is Associated with Diet and Dietary Antioxidants in University Students During the Menstrual Cycle: A Cross-Sectional Study from Guangzhou, China
Abstract
:1. Introduction
2. Methods
2.1. Participants, Data Collection, and Consent
2.2. Questionnaire Distribution
2.3. Menstrual Distress Questionnaire
2.4. Assessment of Food Frequency
2.5. Statistical Analysis
3. Results
3.1. General Demographic Characteristics of the Study Population
3.2. Negative Affect Scale Scores
3.3. Associations between Negative Mood and Dietary Behavior
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Phase | Mean Score | p |
---|---|---|
Menstrual | 4.47 ± 6.70 | <0.0001 (1 vs. 2) |
Intermenstrual | 3.21 ± 5.60 | >0.05 (2 vs. 3) |
Premenstrual | 3.28 ± 5.42 | <0.0001 (3 vs. 1) |
Food Items | Menstrual Phase | Intermenstrual Phase | Premenstrual Phase | |||
---|---|---|---|---|---|---|
Low-Score Group | High-Score Group | Low-Score Group | High-Score Group | Low-Score Group | High-Score Group | |
Rice, porridge, and flour products | 15.23 ± 3.83 | 16.10 ± 3.46 | 14.26 ± 3.49 | 15.76 ± 3.56 | 15.47 ± 3.17 | 15.93 ± 3.4 |
Meat and seafood | 10.43 ± 3.21 | 12.34 ± 2.94 | 10.11 ± 2.26 | 12.34 ± 2.74 | 10.30 ± 2.20 | 10.85 ± 2.62 |
Chicken eggs, duck eggs, and other eggs | 2.84 ± 1.32 | 3.06 ± 2.75 | 3.39 ± 2.77 | 2.88 ± 2.83 | 2.72 ± 2.21 | 3.08 ± 3.35 |
Vegetables | 10.90 ± 3.92 | 10.39 ± 3.84 | 10.53 ± 4.24 | 10.93 ± 3.84 | 9.61 ± 4.07 | 10.88 ± 3.69 |
Fruit | 4.35 ± 3.29 | 4.58 ± 3.28 | 4.41 ± 3.45 | 5.39 ± 3.78 | 4.22 ± 2.79 | 4.93 ± 3.25 |
Tea, coffee, and carbonated beverages | 1.25 ± 2.07 | 2.31 ± 3.26 * | 1.39 ± 2.06 | 2.36 ± 3.33 | 1.83 ± 2.15 | 1.91 ± 2.87 |
Milk and dairy products | 3.28 ± 2.74 | 3.52 ± 2.93 | 3.14 ± 2.95 | 3.49 ± 2.69 | 3.45 ± 3.21 | 3.68 ± 2.78 |
Beans and bean products | 3.08 ± 2.61 | 2.43 ± 2.38 | 2.86 ± 2.25 | 3.19 ± 2.91 | 2.78 ± 2.18 | 2.52 ± 2.63 |
Sweets | 2.24 ± 2.48 | 2.57 ± 2.29 | 2.07 ± 1.40 | 2.43 ± 2.24 | 2.11 ± 2.01 | 2.58 ± 2.87 |
Puffed grains | 0.80 ± 1.29 | 0.52 ± 0.88 | 0.67 ± 1.21 | 1.38 ± 2.41 | 1.09 ± 1.83 | 1.19 ± 1.87 |
Nuts | 0.83 ± 1.83 | 1.26 ± 2.69 | 0.75 ± 1.37 | 1.30 ± 2.55 | 0.78 ± 1.55 | 1.20 ± 2.04 |
Preserves cured meat slices | 0.99 ± 1.84 | 0.75 ± 1.30 | 0.80 ± 1.29 | 1.15 ± 1.83 | 0.60 ± 1.28 | 0.49 ± 0.83 |
Fried food | 0.60 ± 0.92 | 0.57 ± 1.26 | 0.38 ± 0.57 | 0.48 ± 0.78 | 1.08 ± 2.36 | 0.56 ± 0.83 |
Fast food | 0.70 ± 1.31 | 0.86 ± 1.20 | 0.82 ± 1.35 | 0.90 ± 1.86 | 0.65 ± 1.21 | 0.50 ± 0.88 |
Banana and red Chinese dates | 1.24 ± 1.85 | 1.51 ± 2.21 | 1.30 ± 2.05 | 1.95 ± 2.41 | 0.68 ± 0.96 | 1.91 ± 2.44 * |
Food Items | Menstrual Phase | Intermenstrual Phase | Premenstrual Phase | ||||||
---|---|---|---|---|---|---|---|---|---|
OR * | 95% CI | p | OR * | 95% CI | p | OR * | 95% CI | p | |
Rice, porridge, and flour products | 1.00 | 0.89–1.13 | 0.9418 | 1.10 | 0.96–1.26 | 0.1551 | 0.98 | 0.88–1.09 | 0.6811 |
Meat and seafood | 1.01 | 0.96–1.15 | 0.2797 | 1.09 | 0.97–1.23 | 0.1643 | 1.03 | 0.93–1.15 | 0.5437 |
Chicken eggs, duck eggs, and other eggs | 0.99 | 0.81–1.22 | 0.933 | 0.82 | 0.66–1.00 | 0.0542 | 0.96 | 0.76–1.22 | 0.7591 |
Vegetables | 1.00 | 0.86–1.17 | 0.9871 | 0.97 | 0.84–1.13 | 0.7184 | 1.01 | 0.88–1.17 | 0.8422 |
Fruit | 1.00 | 0.83–1.20 | 0.9744 | 1.07 | 0.91–1.26 | 0.4078 | 0.98 | 0.79–1.22 | 0.8729 |
Tea, coffee, and carbonated beverages | 1.23 | 1.00–1.51 | 0.0453 * | 1.16 | 0.92–1.46 | 0.206 | 1.04 | 0.85–1.26 | 0.7347 |
Milk and dairy products | 1.04 | 0.86–1.26 | 0.6965 | 1.04 | 0.85–1.28 | 0.6744 | 0.97 | 0.80–1.17 | 0.7326 |
Beans and bean products | 0.89 | 0.71–1.12 | 0.3272 | 0.91 | 0.68–1.21 | 0.4943 | 0.79 | 0.60–1.06 | 0.1175 |
Sweets | 1.09 | 0.87–1.37 | 0.4498 | 1.12 | 0.81–1.56 | 0.4894 | 1.07 | 0.82–1.39 | 0.609 |
Puffed grains | 0.53 | 0.27–1.03 | 0.0591 | 1.37 | 0.93–2.02 | 0.1114 | 1.29 | 0.89–1.86 | 0.1752 |
Nuts | 1.19 | 0.88–1.60 | 0.2528 | 1.11 | 0.84–1.45 | 0.4671 | 1.29 | 0.94–1.77 | 0.1131 |
Preserves cured meat slice | 0.89 | 0.61–1.28 | 0.5221 | 1.03 | 0.70–1.50 | 0.8844 | 0.86 | 0.50–1.46 | 0.5681 |
Fried food | 0.96 | 0.56–1.64 | 0.8681 | 1.17 | 0.47–2.90 | 0.7242 | 0.66 | 0.37–1.19 | 0.1657 |
Fast food | 1.23 | 0.78–1.93 | 0.3813 | 0.89 | 0.60–1.28 | 0.5004 | 0.82 | 0.50–1.36 | 0.4475 |
Banana and red Chinese dates | 1.06 | 0.78–1.44 | 0.7257 | 1.02 | 0.79–1.33 | 0.8738 | 1.81 | 1.11–2.96 | 0.0172 * |
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Bu, L.; Lai, Y.; Deng, Y.; Xiong, C.; Li, F.; Li, L.; Suzuki, K.; Ma, S.; Liu, C. Negative Mood Is Associated with Diet and Dietary Antioxidants in University Students During the Menstrual Cycle: A Cross-Sectional Study from Guangzhou, China. Antioxidants 2020, 9, 23. https://doi.org/10.3390/antiox9010023
Bu L, Lai Y, Deng Y, Xiong C, Li F, Li L, Suzuki K, Ma S, Liu C. Negative Mood Is Associated with Diet and Dietary Antioxidants in University Students During the Menstrual Cycle: A Cross-Sectional Study from Guangzhou, China. Antioxidants. 2020; 9(1):23. https://doi.org/10.3390/antiox9010023
Chicago/Turabian StyleBu, Lingling, Yuting Lai, Yingyan Deng, Chenlu Xiong, Fengying Li, Li Li, Katsuhiko Suzuki, Sihui Ma, and Chunhong Liu. 2020. "Negative Mood Is Associated with Diet and Dietary Antioxidants in University Students During the Menstrual Cycle: A Cross-Sectional Study from Guangzhou, China" Antioxidants 9, no. 1: 23. https://doi.org/10.3390/antiox9010023
APA StyleBu, L., Lai, Y., Deng, Y., Xiong, C., Li, F., Li, L., Suzuki, K., Ma, S., & Liu, C. (2020). Negative Mood Is Associated with Diet and Dietary Antioxidants in University Students During the Menstrual Cycle: A Cross-Sectional Study from Guangzhou, China. Antioxidants, 9(1), 23. https://doi.org/10.3390/antiox9010023