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Background: The incidence and severity of primary dysmenorrhea are influenced by various factors. The aim of the present study was to review nutritional factors influencing primary dysmenorrhea. Methods: Academic databases including Web of Science, EMBASE, Scopus, and PubMed (including Medline) were searched using keywords of nutrition, diet, and primary dysmenorrhea. In this study, observational studies that were published in English from 1990 to April 2018, which focused on nutritional factors affecting primary dysmenorrhea, were selected. The evaluation of studies was performed using a modified STROBE checklist with 10 items. Results: Out of 5,814 retrieved studies, 38 articles met inclusion criteria and were included for final data synthesis. The increased consumption of fruits and vegetables as the sources of vitamins and minerals, as well as fish and milk and dairy products have positive associations with less menstrual pain. Inconsistent results were reported on the consumption of other nutritional groups. Studies showed negative associations of meal skipping and following diet to lose weight with severity of dysmenorrhea. Conclusion: A few studies showed inconclusive findings due to methodological heterogeneities for assessing nutritional habits and different methods of measuring dysmenorrhea pain. Therefore, further analysis and future interventional studies with stronger methodologies are required.
Background: The incidence and severity of primary dysmenorrhea are influenced by various factors. The aim of the present study was to review nutritional factors influencing primary dysmenorrhea. Methods: Academic databases including Web of Science, EMBASE, Scopus, and PubMed (including Medline) were searched using keywords of nutrition, diet, and primary dysmenorrhea. In this study, observational studies that were published in English from 1990 to April 2018, which focused on nutritional factors affecting primary dysmenorrhea, were selected. The evaluation of studies was performed using a modified STROBE checklist with 10 items. Results: Out of 5,814 retrieved studies, 38 articles met inclusion criteria and were included for final data synthesis. The increased consumption of fruits and vegetables as the sources of vitamins and minerals, as well as fish and milk and dairy products have positive associations with less menstrual pain. Inconsistent results were reported on the consumption of other nutritional groups. Studies showed negative associations of meal skipping and following diet to lose weight with severity of dysmenorrhea. Conclusion: A few studies showed inconclusive findings due to methodological heterogeneities for assessing nutritional habits and different methods of measuring dysmenorrhea pain. Therefore, further analysis and future interventional studies with stronger methodologies are required.
BACKGROUND The onset of menstruation or menarche is a hallmark of female pubertal development. Menstrual disorders are common among adolescent girls and are a significant source of morbidity in this population. Several environmental factors, status of nutrition in childhood, malnutrition ranging from undernutrition (underweight) to overnutrition (overweight/obesity) affect the regulation of menstrual cycles in females. Purpose of this study was to determine the menstrual cycle characteristics of adolescent girls and its relation to Body Mass Index (BMI). MATERIALS AND METHODS Hospital based observational study was carried out on 200 Adolescents with menstrual cycle disorders attending a tertiary care hospital. All these girls were interviewed for detailed history including age at menarche, menstrual cycle characteristics like length, flow duration, regularity, pain during menstruation, a thorough general-physical and systemic examination were carried out after obtaining written informed consent. Height, weight and BMI were calculated. Statistical analysis was done using SPSS (version 17) software. Relationship between BMI and other parameters were tested by Chi-square test for association. A P value of 0.05 or less was considered as statistically significant. RESULTS In the present study, 45.5% girls had normal BMI, 30% were underweight and 24.5% were overweight. Most (60.5%) of the girls attained menarche by 12 years of age. Mean age at menarche was 12.3 years ± 1.01. Dysmenorrhoea (38%) was the most common menstrual complaint followed by increased cycle length (16.5%) and excessive bleeding (15%). Significant correlation was observed between BMI with menstrual cycle length (p<0.001), oligomenorrhoea (p<0.001), secondary amenorrhoea (p<0.001), BMI with menstrual flow duration (p=0.014), perception of flow (p=0.001) and dysmenorrhoea (p<0.001). However, we found no correlation between BMI and premenstrual syndrome (p=0.15) and BMI with menstrual cycle regularity (p=0.23).
Background: Dysmenorrhea or menstrual pain is a commonly occurring disorder in reproductive age women with different proposed risk factors, including body mass index. Objective: This study aimed to investigate the association between body mass index and dysmenorrhea using a systematic review and meta-analysis approach. Methods: Academic databases Scopus, PubMed CENTRAL, Embase, ProQuest, Science Direct, and ISI Web of Science, and Google Scholar- were searched systematically from inception until the end of February 2020. Original researches published in English with observational designs were included to examine the association of body mass index and dysmenorrhea as the primary outcome. Newcastle Ottawa scale was used to evaluate the methodological quality of the studies. Due to the variation of reported data across studies, all data were converted to Pearson correlation coefficient and corrected by transforming to fisher’s Z score. Then meta-analysis was performed using a random-effects model with Der-Simonian and Laird method. Results: A total of 61 studies with 57,079 participants, of which 25,044 reported having dysmenorrhea, were included. While publication bias was probable, results were corrected using the fill amp; trim method. The updated results based on this method showed that pooled Fisher’s z-score for the association of body mass index and dysmenorrhea was 0.04 (95% CI: -0.009; 0.085). The pooled estimated effect size of correlation showed a trivial to slight correlation between body mass index and dysmenorrhea with corrected fisher’s z score of 0.12 (95% CI: 0.08; 0.17, I2=95%). Conclusion: No association was found between body mass index and dysmenorrhea. But this finding should be interpreted with caution considering the included studies' limitations.
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