WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students
Background: Dysmenorrhea is a frequent and misdiagnosed symptom affecting the quality of life in young women. A working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) score was designed to diagnose dysmenorrhea and to predict medical leave. Methods: This cross-sectional design in...
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Institution: | FUCS -Fundación Universitaria de Ciencias de la Salud |
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Main Authors: | , , , |
Format: | Artículo de revista |
Language: | English |
Published: |
Taylor & Francis Group
2018
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Subjects: | |
Online Access: | https://repositorio.fucsalud.edu.co/handle/001/1475 |
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