| Literature DB >> 33053847 |
Elia Fernández-Martínez1, Tania Fernández-Villa2, Carmen Amezcua-Prieto3,4,5, María Morales Suárez-Varela4,6,7, Ramona Mateos-Campos8, Carlos Ayán-Pérez9, Antonio José Molina de la Torre2, Rocío Ortíz-Moncada10, Ana Almaraz11, Gemma Blázquez Abellán12, Miguel Delgado-Rodríguez13,14, Jéssica Alonso-Molero14,15, Virginia Martínez-Ruíz3,4,5, Agustín Llopis-Morales4,6,7, Luis Félix Valero Juan8, José Mª Cancela Carral16, Sandra Martín-Peláez3,5, Juan Alguacil14,17.
Abstract
Menstrual problems affect many young women worldwide, conditioning both their academic performance and quality of life. This study sought to analyse the prevalence of menstrual problems and their possible relationship with lifestyle among Spanish university women, as part of a research project (UniHcos Project) involving a cohort of 11 Spanish universities with 7208 university students. A descriptive analysis was performed using the bivariate chi-square test and the Student's t-test together with a binary logistic regression, in which the dependent variable was 'suffering from menstrual problems'. Menstrual problems were identified in 23.8% of the students, representing women who paid more visits to the doctor and to emergency rooms, and who consumed more painkillers and contraceptives. In relation to dietary preferences, menstrual problems were 1.39 (CI 95% 1.22-1.61; p = 0.000) times more likely among women classified as high-risk alcohol users according to the AUDIT questionnaire, and 1.187 (CI 95% 1.029-1.370; p = 0.019) times greater among those who consumed sweets daily, 1.592 (CI 95% 1.113-2.276; p = 0.011) times more frequent among those who eat fish daily, and 1.199 (CI 95% 1.004-1.432; p = 0.045) times greater among those who were dieting. Menstrual problems affect many college students and potentially modifiable lifestyle variables exist which may influence their prevalence. It would be interesting to develop programmes to promote women's health in the university context.Entities:
Keywords: diet; lifestyle; menstrual disorders; university students
Mesh:
Year: 2020 PMID: 33053847 PMCID: PMC7599672 DOI: 10.3390/ijerph17207425
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Socio-demographic characteristics.
| Socio-Demographic Characteristics | |||
|---|---|---|---|
| Age | 19.51 ± 2.73 | ||
| Region | Granada | 2099 (29.1%) | |
| Valencia | 1079 (15%) | ||
| Salamanca | 851 (11.8%) | ||
| Vigo | 805 (11.2%) | ||
| León | 660 (9.2%) | ||
| Alicante | 596 (8.3%) | ||
| Valladolid | 409 (5.7%) | ||
| Huelva | 314 (4.4%) | ||
| Jaén | 208 (2.9%) | ||
| Castilla-La Mancha | 128 (1.8%) | ||
| Cantabria | 59 (0.8%) | ||
| BMI (kg/m2) | <18.5 kg/m2 | 861 (11.9%) | |
| 18.5–24.99 kg/m2 | 5216 (72.4%) | ||
| 25–29.99 kg/m2 | 858 (11.9%) | ||
| ≤30 kg/m2 | 212 (2.9%) | ||
(BMI): Body Mass Index.
Type of access to university, field of study and lifestyle.
| Type of Access to University, Field of Study and Lifestyle | ||
|---|---|---|
| Access to university | Baccalaureate | 6056 (84.0%) |
| Vocational training | 907 (12.6%) | |
| Other university qualifications | 142 (2.0%) | |
| Entrance test for people > 25 years old | 103 (1.4%) | |
| Branch of study | Art and Humanities | 951 (13.2%) |
| Sciences | 1030 (14.3%) | |
| Health sciences | 1733 (24.0%) | |
| Social sciences | 3091 (42.9%) | |
| Engineering | 403 (5.6%) | |
| Did you see a doctor in the last month? | Yes | 1988 (27.6%) |
| No | 5220 (72.4%) | |
| Emergency room consultation in the last year | Yes | 2833 (39.3%) |
| No | 4375 (60.7%) | |
| Hormonal contraceptives (OCPs) | Yes | 1051 (14.6%) |
| No | 6157 (85.4%) | |
| Consumption of Analgesics | Yes | 3922 (54.4%) |
| No | 3286 (45.6%) | |
| Activity limitation in daily life | Yes | 2191 (30.4%) |
| No | 5017 (69.6%) | |
| Exercise 3 h per week or more | Yes | 3720 (51.6%) |
| No | 3488 (48.4%) | |
| Tobacco smoking | Yes | 2133 (29.6%) |
| No | 5075 (70.4%) | |
Results of the binary logistic regression analysis for suffering from menstrual problems.
| Variables | Menstrual Problem | OR a | CI 95% | |||
|---|---|---|---|---|---|---|
| No | Yes | |||||
| Geographical region | North | 2097 (75.3%) | 687 (24.7%) | 1.07 | 0.95–1.21 | 0.261 |
| South | 3396 (76.8%) | 1028 (23.2%) | ||||
| Access to university | Entrance exams | 4625 (76.4%) | 1431 (23.6%) | Ref. b | 0.246 | |
| Vocational training | 699 (77.1%) | 208 (22.9%) | 0.89 | 0.72–1.10 | 0.287 | |
| Other university qualifications | 101 (71.1%) | 41 (28.9%) | 1.2 | 0.78–1.85 | 0.412 | |
| Entrance test for those over 25 years of age | 68 (66%) | 35 (34%) | 1.33 | 0.78–2.25 | 0.295 | |
| Branch of study | Health Sciences | 1382 (79.7%) | 351 (20.3%) | Ref. b | 0.019 * | |
| Sciences | 799 (77.6%) | 231 (22.4%) | 1.15 | 0.94–1.40 | 0.174 | |
| Arts and humanities | 689 (72.5%) | 262 (27.5%) | 1.4 | 1.15–1.71 | 0.001 * | |
| Engineering and Architecture | 300 (74.4%) | 103 (25.6%) | 1.18 | 0.90–1.54 | 0.241 | |
| Social and political sciences | 2323 (75.2%) | 768 (24.8%) | 1.21 | 1.04–1.41 | 0.015 * | |
| BMI | Underweight | 4003 (76.7%) | 1213 (23.3%) | 1.14 | 0.95–1.36 | 0.153 |
| Normal | 637 (74%) | 224 (26%) | Ref. b | 0.096 | ||
| Overweight | 664 (77.4%) | 194 (22.6%) | 0.94 | 0.78–1.13 | 0.5 | |
| Obesity | 144 (67.9%) | 68 (32.1%) | 1.36 | 0.99–1.88 | 0.057 | |
| Exercise 3 h per week or more | No | 2647 (75.9%) | 841 (24.1%) | 1 | 0.89–1.13 | 0.943 |
| Yes | 2846 (76.5%) | 874 (23.5%) | ||||
| OCPs | No | 5102 (79.2%) | 1341 (20.8%) | 3.48 | 2.95–4.09 | 0.000 * |
| Yes | 391 (51.1%) | 374 (48.9%) | ||||
| Consume analgesics | No | 2663 (81%) | 623 (19%) | 1.39 | 1.24–1.57 | 0.000 * |
| Yes | 2830 (72.2%) | 1092 (27.8%) | ||||
| Consult your doctor | No | 4090 (78.4%) | 1130 (21.6%) | 1.17 | 1.03–1.33 | 0.015 * |
| Yes | 1403 (70.6%) | 585 (29.4%) | ||||
| Emergency room consultation | No | 3449 (78.8%) | 926 (21.2%) | 1.18 | 1.05–1.33 | 0.007 * |
| Yes | 2044 (72.1%) | 789 (27.9%) | ||||
| Activity limitation in daily life | No | 4141 (82.5%) | 876 (17.5%) | 2.53 | 2.24–2.85 | 0.000 * |
| Yes | 1352 (61.7%) | 839 (38.3%) | ||||
| Alcohol:Risk consumption | No | 3788 (77.8%) | 1082 (22.2%) | 1.39 | 1.21–1.61 | 0.000 * |
| Yes | 1705 (72.9%) | 633 (27.1%) | ||||
| Tobacco | No | 3940 (77.6%) | 1135 (22.4%) | 1.01 | 0.89–1.16 | 0.84 |
| Yes | 1553 (72.8%) | 580 (27.2%) | ||||
| Eats breakfast | No | 477 (71.4%) | 191 (28.6%) | 0.84 | 0.69–1.02 | 0.079 |
| Yes | 5016 (76.7% | 1524 (23.3%) | ||||
| On a diet | No | 4875 (76.8%) | 1473 (23.2%) | 1.2 | 1.00–1.43 | 0.045 * |
| Yes | 618 (71.9%) | 242 (28.1%) | ||||
| Daily dairy | No | 1683 (75%) | 561 (25%) | 1.19 | 0.85–1.11 | 0.676 |
| Yes | 3810 (76.8%) | 1154 (23.2%) | ||||
| Daily fruit | No | 3302 (5.8%) | 1057 (24.2%) | 1.01 | 0.89–1.15 | 0.882 |
| Yes | 2191 (76.9%) | 658 (23.1%) | ||||
| Daily juices | No | 4320 (76.5%) | 1330 (23.5%) | 1.02 | 0.88–1.18 | 0.769 |
| Yes | 1173 (75.3%) | 385 (24.7%) | ||||
| Daily refreshments | No | 5121 (76.4%) | 1583 (23.6%) | 1.02 | 0.81–1.29 | 0.853 |
| Yes | 372 (73.8%) | 132 (26.2%) | ||||
| Daily sweets | No | 4352 (76.8%) | 1312 (23.2%) | 1.19 | 1.03–1.37 | 0.019 * |
| Yes | 1141 (73.9%) | 403 (26.1%) | ||||
| Daily vegetables | No | 3937 (76.5%) | 1210 (23.5%) | 1.074 | 0.93–1.24 | 0.327 |
| Yes | 1556 (75.5%) | 505 (24.5%) | ||||
| Daily meat | No | 4418 (76.1%) | 1389 (23.9%) | 0.94 | 0.81–1.09 | 0.382 |
| Yes | 1075 (76.7%) | 326 (23.3%) | ||||
| Daily sausages | No | 4756 (75.9%) | 1514 (24.1%) | 0.85 | 0.71–1.01 | 0.066 |
| Yes | 737 (78.6%) | 201 (21.4%) | ||||
| Daily fish | No | 5373 (76.4%) | 1662 (23.6%) | 1.59 | 1.11–2.28 | 0.011* |
| Yes | 120 (69.4%) | 53 (30.6%) | ||||
| Daily Legumes | No | 5277 (76.2%) | 1651 (23.8%) | 0.81 | 0.59–1.11 | 0.187 |
| Yes | 216 (3.9%) | 64 (3.7%) | ||||
| Daily eggs | No | 5363 (76.2%) | 1672 (23.8%) | 0.93 | 0.63–1.37 | 0.711 |
| Yes | 130 (75.1%) | 43 (24.9%) | ||||
OR a Adjusted Odds ratio: Odds ratio adjusted by age and all variables present in the table; b Reference category; * < 0.05.