Keywords
Nutrition, physical activity, dysmenorrhea, young women
This article is included in the Agriculture, Food and Nutrition gateway.
Nutrition, physical activity, dysmenorrhea, young women
Primary dysmenorrhea is one of the most common gynecological disorders that refer to cramping pain in the lower abdomen during menstruation without pelvic pathology. This complication often occurs in the first and second years after the onset of menstruation during ovulation1. The overall prevalence of primary dysmenorrhea is 60% to 90% in adolescent girls but decreases with age2. Increased concentrations of prostaglandins and vasopressin, increased levels of leukotrienes and psychological factors are reported to be involved in the development of primary dysmenorrhea3. Prostaglandins cause pain by increasing uterine tone and contractions1. There are several medicinal and non-medicinal methods for improving or eliminating this complication. A non-medicinal treatment for primary dysmenorrhea is changing nutrition; for instance, reducing the intake of salt and animal fats, increasing the consumption of complex carbohydrates and dietary fibers and increasing physical activity4.
Although various treatment methods have been proposed for this complication, there has been limited success. Some studies have proposed factors such as dietary habits5 nutrition6 and aerobic exercise7 as effective in the treatment of dysmenorrhea, but one study found no relationship between exercise and dysmenorrhea8. Since medicinal therapies can have side-effects, and as some people prefer to not be medicated, researchers and young women are both seeking alternative therapies for this condition9. The disparity of findings on this disorder led to the present study about nutrition and physical activity and their relationship to primary dysmenorrhea in university students, so as to facilitate interventions targeting nutrition and physical activity in young women.
The present comparative descriptive study was conducted on 250 female students at Mazandaran University of Medical Sciences (Sari, Iran). Students were recruited during lectures at the university. Students with menarche who had menstrual pain and without pelvic pathological disorders and this pain limited to menstrual periods were classified as primary dysmenorrhea, which was self-reported.
Sampling lasted from late August to late November 2015. A total of 125 students belonged to the case group with primary dysmenorrhea and 125 students to the control group without this condition were case-matched to the study group through convenience sampling. The inclusion criteria for the cases consisted of being single, age 18 to 26, having moderate or severe (scores 4 to 10) and painless (scores 0 to 3) primary dysmenorrhea based on the McGill Pain Index, having no known chronic diseases, such as diabetes, hypertension, underlying cardiac diseases, infectious diseases, etc., having no self-reported symptoms such as burning, itching and abnormal vaginal discharge, and having no history of gynecological surgeries.
Sample size was calculated using the formula:
Data were collected using personal-demographic, nutrition and physical activity questionnaires (Supplementary File 1), the McGill Pain Index and height was measured by a metal ruler. The questionnaires were distributed by face to face interview. The personal-demographic questionnaire inquired about participants’ personal information, menstruation history, obstetric history and socio-economic status. The intervals of menstruation in a period of less than 21 days between 21 to 35 days or more than 35 days, according to the response of each person were marked. After obtaining the frequency, the mean of these were calculated in the two groups
The socio-economic status questionnaire contains 12 questions that were calculated using factor analysis method. Factor scores = 04754/0 * Education + 0/12080 * Assets + 0/34570 * Mother’s education + 0/27104 * Father’s education + 0/3585 * Type of home + 0/02277 * House size + 0/00403 * Number of residents At home - 0.06260 * Owning a private home 0/23442 * Mother’s income + 14.176 / 0 * Father’s income 0.04896 * Occupation. Using the above relationship, the socioeconomic score of each person was calculated.
The nutrition questionnaire consisted of 16 items that were scored based on a four-point Likert scale, with scores ranging from 16 to 64: never, 1; sometimes, 2; often, 3; always, 4. Questions 13 to 16 are never, 4; sometimes, 3; often, 2; always, 1. The nutrition questionnaire scores increased to a percentage and scores less than 33.3% of the total score of nutrition indicated poor nutrition, scores between 33.3% and 66.6% indicated somewhat proper nutrition and scores higher than 66.6% indicated good nutrition. Percentages were calculated as follows: Nutrition % = ((q1 + q2 + q3 + q4 + q5 + q6 + q7 + q8 + q9 + q10 + q11 + q12 + q13 + q14 + q15 + q16) - 16) / (64 - 16))* 100. The nutritional style questionnaire was used previously by Mahmoodi et al. for designing and psychometric evaluation. The Pearson correlation coefficient was 0.97. The Cronbach’s alpha coefficient in the nutrition aspect was 0.76, which confirmed its reliability and validity10.
The physical activity dimension of participants’ lifestyle was assessed using the long-form International Physical Activity Questionnaire [IPAQ; http://youthrex.com/wp-content/uploads/2017/06/IPAQ-TM.pdf]11, developed in 1998 by the WHO and CDD in Geneva as an international physical activity assessment tool for the age group 15 to 69. This version of the questionnaire consists of 27 items and reports physical activity levels in MET-minute/week and classifies people into three groups: A low activity group (less than 600 MET), a moderate activity group (between 600 and 3000 MET) and a high activity group (over 3000 MET) groups. The IPAQ is a global standard questionnaire whose validity and reliability have been approved in previous studies through content validity and Cronbach’s alpha12–15.
The McGill Pain Index is the most common visual analogue scale used in studies with an approved reliability and validity16.
For data collection, the researcher (DAB) visited the study settings and obtained the permission of the directors of the centers. She conducted preliminary interviews with the participants (briefed them on the study objectives and the confidentiality of the data before they submitted their informed written consents). Eligible candidates were then selected for participation in the study.
Data were analyzed in SPSS-18 using descriptive and analytical statistics such as mean and standard deviation, the independent t-test, the Chi-square test, Fisher’s Exact Test, Mann-Whitney’s U-test and the multiple logistic regression analysis.
The study was conducted after obtaining the approval of the Ethics Committee of Shahid Beheshti University of Medical Sciences (ID: SBMU2.REC.1394.102). The authors obtained the consent of Mazandaran University of Medical Sciences for doing this research. Written informed consent was obtained from all the participants.
The results showed significant differences between the two groups in terms of age (P=0.001) and degree of education (P=0.011), but not in terms of BMI (p=0.296), age at menarche (p=0.374), duration of menstrual cycles (p=0.540) and intervals between menstrual cycles (p=0.054), which means that the two groups matched in terms of these four variables (Table 1).
In the group with dysmenorrhea, the good nutritional status was 21.6% and in the non-affected group it was 36%. According to the scores obtained in the questionnaires, the two groups were significantly different in terms of nutrition score (p=0.008) and physical activity (p=0.011); (Table 2). The logistic regression analysis, however, showed no significant differences between the groups in terms of nutrition. The results showed a 1% reduction in the incidence of dysmenorrhea per each unit of increase in physical activity score; that is, a higher level of physical activity reduces the incidence of dysmenorrhea. Age also reduces the incidence of dysmenorrhea by 18%; in other words, the higher the age, the lower the incidence of dysmenorrhea (Table 3).
Lifestyle characteristic | Dysmenorrhea (n=125) Mean±SD | Without dysmenorrhea (n=125) Mean±SD | p-value |
---|---|---|---|
Nutrition score | 57.91±10.92 | 61.68±11.33 | 0.008 |
Physical activity (MET) | 5518.75±3182/03 | 4666/42±1930/12 | 0.011 |
The results showed that nutrition and physical activity were related to dysmenorrhea in the two groups. According to the results of Table 2, there was a significant difference between the two groups in terms of nutritional style (p = 0.008), physical activity (p = 0.11), but when some variables were adjusted by logistic regression analysis, nutrition didn’t show any difference between the two groups.
An optimal nutrition was found to reduce the severity of dysmenorrhea. In 1992, Ekstrom et al.17 showed that, during menstruation, hypertonic saline infusion increases vasopressin and oxytocin, and along with the increase in these two hormones, the severity of dysmenorrhea also increases. Increased prostaglandin was proposed as the main reason for the pain and excessive bleeding experienced1. Food items rich in magnesium can reduce the severity of dysmenorrhea by reducing the synthesis of prostaglandins and decreasing muscle and small vessel spasms18. Following a high-fiber diet can increase sex hormone-binding globulins and thus reduce the synthesis of prostaglandins, which are the main cause of dysmenorrhea19. Studies show that the arachidonic acid in animal fat is involved in the synthesis of prostaglandins, and therefore, foods such as meat and dairy are the main source of arachidonic acid5. Regarding the link between the daily use of the four food groups and dysmenorrhea, it can be argued that the high consumption of fish, eggs, vegetables and fruits is associated with a low incidence of painful menstruation20. Eliminating salty foods will decrease the incidence of dysmenorrhea as well21. Having breakfast every morning22 and eating nuts, pure honey24,25 are also effective in reducing the incidence of dysmenorrhea. The compound oleocanthal in extra virgin olive oil suppresses prostaglandin synthesis; in other words, it inhibits the enzymatic pathway for pain26.
Exercise acts as a non-specific analgesia by improving pelvic blood circulation and stimulating the release of beta-endorphins9. Exercise leads to the prevention and regression of dysmenorrhea by reducing stress and improving mood. Age at menarche is significantly higher in athletes27. Exercise reduces body fat, and since obesity is associated with a high prevalence of dysmenorrhea, the loss of fat significantly increases age at menarche27. Exercising three days before the beginning of the menstruation improves pelvic blood flow, disrupts the accumulation of prostaglandins in this part of the body and thus delays the onset of pain. Exercise during menstrual pain also leads to the faster transfer of excess substances and prostaglandin from the uterus, which is the main factor responsible for menstrual pain, and thus reduces the duration of pain during menstruation28. Exercise can reduce the activity of the sympathetic nervous system and increase the activity of the parasympathetic nerves during rest and reduce stress and thereby menstrual symptoms29. Regular aerobic exercise can reduce pain by increasing the secretion of endorphins, which are the most powerful natural opiates in the body30.
Salehi et al. found a significant difference in the intensity and duration of pain after eight weeks of Pilates exercise between the intervention and control groups. On the first three days of menstruation, 30 minutes of brisk walking per day reduces primary dysmenorrhea pain. Dysmenorrhea was less prevalent in those who had regular exercise three sessions per week compared to those who did not exercise31. Exercise is most effective in the prevention of dysmenorrhea when it begins before the first menstruation and remains a fixed part of the adult’s lifestyle27. The present study showed that dysmenorrhea was less prevalent in those who were more physically active, and regular exercise can reduce stress in women and thus improve blood circulation and increase the amount of endorphins and neurotransmitters32. Educational and counseling measures are needed to emphasize the importance of exercise.
The two groups were significantly different in terms of age. The prevalence of primary dysmenorrhea decreased with age. This condition is prevalent between ages 20 and 24 and then progressively declines in prevalence after this age33. The two groups were not different in terms of BMI. Haidari et al. also showed no significant relationships between dysmenorrhea and the variables of BMI, height, weight and the waist-to-hip ratio34. A positive relationship has been observed between a high BMI and dysmenorrhea. The inconsistency between the results obtained by Harlow35 and those of the present study may be due to the fact that BMI is affected by factors such as race, age and gender and is therefore not a proper indicator of obesity, especially in athletes who have a high body mass31.
In this study, no significant relationships were observed between the two groups in terms of age at menarche, the duration of menstrual cycles and intervals between menstrual cycles. Nevertheless, Espiroff found a significant relationship between age at menarche and the intensity of primary dysmenorrhea2. The incidence of primary dysmenorrhea increases with longer intervals between menstrual cycles34, heavy menstrual bleeding33 and a menstruation lasting more than seven days36. Chung et al.37, however, argued that the duration of menstrual cycle is not related to dysmenorrhea. In the present study, the two groups were matched for confounding factors and there were therefore no differences between them in terms of menstruation history.
Dysmenorrhea is a cyclical and debilitating process. Due to its negative impact on quality of life, preventive and supportive measures are necessary in young women by raising awareness and promoting education about better lifestyles, which encompass proper nutrition and regular physical activity.
Dataset 1: Raw data behind the results of this study. The coding schema for the data can be found in Supplementary File 2. DOI, 10.5256/f1000research.12462.d18927538
This research was derived from an M.S. thesis of Dina Abadi Bavil. We appreciate the cooperation of the honorable Research Deputies at the University of Shahid Beheshti and Sari University, as well as all students who participated.
Supplementary File 1: Socio-demographic, nutrition and physical exercise questionnaires.
Click here to access the data.
Supplementary File 2: Coding schema for Dataset 1.
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Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: midwifery, women health, sexual and reproductive health
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
No
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |||
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