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| Name | Class |
|---|---|
| Bayer | INDUSTRY |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| females | females aged between 18 and 50 years old living in Beijing |
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| Measure | Description | Time Frame |
|---|---|---|
| Prevalence of HMB | from date of inclusion until the end of the study currently planned (about 7 months) |
| Measure | Description | Time Frame |
|---|---|---|
| Prevalence of HMB in different subgroups | Subgroups include groups with different age, occupations, education levels, fertility status, with/without combined gynecological diseases. | from date of inclusion until the end of the study currently planned (about 7 months) |
| Identify risk factors associated with HMB |
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Inclusion Criteria:
Exclusion Criteria:
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residents of Beijing
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| Name | Affiliation | Role |
|---|---|---|
| Siyan Zhan, MD,PhD | Peking University Health Science Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking University Health Science Center | Beijing | 100191 | China |
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| ID | Term |
|---|---|
| D008595 | Menorrhagia |
| ID | Term |
|---|---|
| D014592 | Uterine Hemorrhage |
| D014591 | Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
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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). |
| from date of inclusion until the end of the study currently planned (about 7 months) |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |
| D006470 | Hemorrhage |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D008599 | Menstruation Disturbances |