Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Menstruation is a natural phenomenon for every female, starting from adolescents to menopausal age. Any disturbances in menstrual patterns can eventually affect one's physical as well as psychological health which in turn hamper the quality of life of women. Several factors including genetic predisposition as well as lifestyle modifications adversely affect normal menstrual patterns. Hence, this study aims to evaluate the prevalence of menstrual disorders among adolescents and young women as well as the associated risk factors. A cross-sectional random survey was conducted from January 2020 to January 2022 in various schools and colleges. A structured questionnaire was prepared which include anthropometric details, demographic information, and lifestyle patterns. The data were extracted for further statistical analysis. In the overall study population, the prevalence of PCOS, Dysmenorrhea, Menorrhagia, Polymenorrhea, Hypomenorrhea and the irregular menstrual cycle was found at 14.14%, 15.14%, 6.29%, 3.70%, 5.16% and 44.83% respectively. The mean BMI of the study population was 19.949 ± 4.801 kg/m and the mean WHr was 0.872 ± 0.101, indicating a moderate to high risk of metabolic disorder among the study population. Increased BMI, short sleep, and sedentary and vigorous physical activity can contribute to the risk of developing menstrual disorders. Unhealthy food habits are a major risk factor for menstrual disorders. Lifestyle modifications like healthy food habits, sleeping patterns, physical activity, etc. can effectively reduce the risk of menstrual disorders and also cut down the severity of more complex health problems. In-depth biochemical and molecular analysis is required to identify specific biomarkers.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393940 | PMC |
http://dx.doi.org/10.1038/s41598-023-35858-2 | DOI Listing |
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