Prevalence of Heavy Menstrual Bleeding in Female Population Living in Beijing

Sponsor
Peking University (Other)
Overall Status
Completed
CT.gov ID
NCT02304510
Collaborator
Bayer (Industry)
2,455
1
25
98.2

Study Details

Study Description

Brief Summary

The purpose of the study is to estimate the prevalence of heavy menstrual bleeding (HMB) in females aged between 18 and 50 years old living in Bejing.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    This study is an observational, cross-sectional study. A representative sample of 2800 eligible women with different occupations such as farmers, service providers, workers, professional specialists, students and civil servants will be recruited. A cluster sampling method with probability proportional to the distribution of occupation in women in Beijing will be used. Demographic data will be collected by questionnaire. Menstrual bleeding will be evaluated by Pictorial Blood loss Assessment Chart (PBAC). According to the international definition of HMB, a PBAC score more than 100 is considered as HMB.

    Study Design

    Study Type:
    Observational
    Actual Enrollment :
    2455 participants
    Observational Model:
    Cohort
    Time Perspective:
    Cross-Sectional
    Official Title:
    Prevalence of Heavy Menstrual Bleeding in Female Population Living in Beijing
    Actual Study Start Date :
    Nov 1, 2014
    Actual Primary Completion Date :
    Sep 1, 2015
    Actual Study Completion Date :
    Dec 1, 2016

    Arms and Interventions

    Arm Intervention/Treatment
    females

    females aged between 18 and 50 years old living in Beijing

    Outcome Measures

    Primary Outcome Measures

    1. Prevalence of HMB [from date of inclusion until the end of the study currently planned (about 7 months)]

    Secondary Outcome Measures

    1. Prevalence of HMB in different subgroups [from date of inclusion until the end of the study currently planned (about 7 months)]

      Subgroups include groups with different age, occupations, education levels, fertility status, with/without combined gynecological diseases.

    2. Identify risk factors associated with HMB [from date of inclusion until the end of the study currently planned (about 7 months)]

      Identified HMB subjects will be assigned into the case group. Non-HMB subjects will be assigned into the control group. Logistic regression model will be carried out to analyze the associations between possible demographic factors and risk of HMB by calculating odds ratios (OR) with 95% confidence intervals (CIs).

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years to 50 Years
    Sexes Eligible for Study:
    Female
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Females aged between 18 and 50 years (inclusive)

    • Stay in Beijing for more than 6 months

    • Signed ICF was obtained

    Exclusion Criteria:
    • Not achieve the menarche

    • With the last menstruation more than one year ago

    • Experienced amenorrhea, currently take hormone therapy to induce menstruation

    • Had undergone a hysterectomy

    • Currently breastfeeding a baby

    • Being pregnant

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Peking University Health Science Center Beijing China 100191

    Sponsors and Collaborators

    • Peking University
    • Bayer

    Investigators

    • Principal Investigator: Siyan Zhan, MD,PhD, Peking University Health Science Center

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Siyan Zhan, Professor, Peking University
    ClinicalTrials.gov Identifier:
    NCT02304510
    Other Study ID Numbers:
    • PEKU-BJ-2014
    First Posted:
    Dec 2, 2014
    Last Update Posted:
    Dec 31, 2018
    Last Verified:
    Dec 1, 2018
    Keywords provided by Siyan Zhan, Professor, Peking University
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Dec 31, 2018