| Title |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students
|
|---|---|
| Published in |
International Journal of Women's Health, January 2018
|
| DOI | 10.2147/ijwh.s143510 |
| Pubmed ID | |
| Authors |
Aníbal A Teherán, Luis Gabriel Piñeros, Fabián Pulido, María Camila Mejía Guatibonza |
| Abstract |
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. This cross-sectional design included young medical students, who completed a self-administered questionnaire that contained the verbal rating score (VRS; pain and drug subscales) and WaLIDD scales. The correlation between scales was established through Spearman test. The area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, and likelihood ratio (LR +/-) were evaluated to diagnose students availing medical leave due to dysmenorrhea; moreover, to predict medical leave in students with dysmenorrhea, a binary logistic regression was performed. In all, 585 students, with a mean age of 21 years and menarche at 12 years, participated. Most of them had regular cycles, 5 days of menstrual blood flow and 1-2 days of lower abdominal pain. The WaLIDD scale presented an adequate internal consistency and strong correlation with VRS subscales. With a cutoff of >6 for WaLIDD and 2 for VRS subscales (drug subscale and pain subscale) to identify students with dysmenorrhea, these scales presented an area under the curve (AUC) ROC of 0.82, 0.62, and 0.67, respectively. To identify students taking medical leave due to dysmenorrhea, WaLIDD (cutoff >9) and VRS subscales (cutoff >2) presented an AUC ROC of 0.97, 0.68, and 0.81; moreover, the WaLIDD scale showed a good LR +14.2 (95% CI, 13.5-14.9), LR -0.00 (95% CI, undefined), and predictive risk (OR 5.38; 95% CI, 1.78-16.2). This research allowed a comparison between two multidimensional scales regarding their capabilities, one previously validated and a new one, to discriminate among the general population of medical students, among those with dysmenorrhea or those availing medical leave secondary to dysmenorrhea. WaLIDD score showed a larger effect size than the pain and drug score in the students. In addition, this study demonstrated the ability to predict this combination of events. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Colombia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 274 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 37 | 14% |
| Unspecified | 11 | 4% |
| Student > Postgraduate | 10 | 4% |
| Student > Master | 9 | 3% |
| Lecturer | 6 | 2% |
| Other | 31 | 11% |
| Unknown | 170 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 34 | 12% |
| Medicine and Dentistry | 29 | 11% |
| Unspecified | 11 | 4% |
| Engineering | 4 | 1% |
| Psychology | 4 | 1% |
| Other | 14 | 5% |
| Unknown | 178 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2022.
All research outputs
#14,462,441
of 23,172,045 outputs
Outputs from International Journal of Women's Health
#441
of 793 outputs
Outputs of similar age
#241,146
of 443,070 outputs
Outputs of similar age from International Journal of Women's Health
#14
of 18 outputs
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