Menstrual patterns and disorders among Chinese women of reproductive age: A cross-sectional study based on mobile application data

8Citations
Citations of this article
78Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

AbstractMenstruation is an important indicator of women's health. Identification of abnormal menstrual patterns in adolescence may improve early diagnosis of potential health concerns in adulthood. This study aimed to evaluate menstrual patterns and disorders of Chinese women of reproductive age based on an APP.From December 2015 to January 2016, a cross-sectional study was conducted. We utilized a mobile application (APP) to collect information about participants' age at menarche, length of menstruation, duration of menstruation, amount of menstrual flow, regularity of menstrual cycle, prevalence of abnormal uterine bleeding and dysmenorrhoea.A total of 156,055 women (25,716 from the questionnaire survey and 130,000 from the mobile APP users) participated in the study. The average age of the subjects was 26.32 ± 6.97 years (median age, 25 years). Mean age at menarche was 13.08 ± 1.87 years; average length of menstrual cycle, 30.9 ± 4.28 days (median 30 days); and average duration of menstruation, 5.01 ± 1.13 days (median 5 days). Women with irregular menstrual cycles accounted for 36.41%. Women aged < 18 years and > 30 years were more likely to experience irregular menstrual cycles. The prevalence of secondary amenorrhoea was 4.07%. More than 20% of women reported abnormal menstrual flow. About 20.11% of women had abnormal uterine bleeding, and 77.65% had dysmenorrhoea. A hot compress was the most commonly used approach to ameliorate dysmenorrhoea. Women with low education and low income and those with high education and high income tended to have menstrual problems.A mobile APP as a survey tool has the advantages of large sample size, low cost, and high efficiency. The use of a mobile APP is an emerging approach for collecting big data in the field of health research. The results showed that the prevalence of menstrual disorders among Chinese reproductive women was high. Healthcare providers should educate girls and their caregivers about menstrual physiology, normal menstrual pattern, and reproductive health to prevent long-term diseases.

References Powered by Scopus

The Timing of Normal Puberty and the Age Limits of Sexual Precocity: Variations around the World, Secular Trends, and Changes after Migration

1309Citations
N/AReaders
Get full text

The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions

602Citations
N/AReaders
Get full text

Examination of US puberty-timing data from 1940 to 1994 for secular trends: Panel findings

539Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Menstrual cycle length variation by demographic characteristics from the Apple Women’s Health Study

17Citations
N/AReaders
Get full text

The comparison of demographics and comorbidities of female pattern hair loss according to the clinical subtype and stage

3Citations
N/AReaders
Get full text

Menstrual symptoms and subjective well-being among postmenarchal adolescents

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Mao, L., Xi, S., Bai, W., Yao, C., Zhou, Y., Chen, X., & Sun, Y. (2021). Menstrual patterns and disorders among Chinese women of reproductive age: A cross-sectional study based on mobile application data. Medicine (United States), 100(16), E25329. https://doi.org/10.1097/MD.0000000000025329

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 9

47%

Lecturer / Post doc 5

26%

Researcher 5

26%

Readers' Discipline

Tooltip

Nursing and Health Professions 8

50%

Medicine and Dentistry 4

25%

Psychology 2

13%

Computer Science 2

13%

Save time finding and organizing research with Mendeley

Sign up for free