Survey study, 2016
What characteristics do women with PMDD share?
A survey of 102 women with professional PMDD diagnosis showed symptom profiles matching medical literature. A comparison group of 110 women without professional diagnosis had different patterns, suggesting women seeking online forums differ from other symptomatic women.
What they did
Researchers created an online survey distributed through four internet forums worldwide. One group consisted of 102 women with professional PMDD diagnosis. Through control questions, they identified a second group of 110 women without professional diagnosis for comparison.
What they found
Women with professional PMDD diagnosis reported symptoms that closely matched descriptions in medical literature. Women without professional diagnosis showed different patterns, suggesting that women seeking help on online forums differ from other women with similar symptoms.
What it means for you
The study created a profile of women with PMDD who use internet forums. However, the sample is not representative of all women with this condition since participants were self-selected online. The findings show the importance of careful survey design and question verification when researching online.
102
Women with professional PMDD diagnosis
110
Comparison women without professional diagnosis
4
Internet forums surveyed
About the study
- Original title
- Socio-demographic Profile of a Sample of Women with Premenstrual Dysphoric Disorder: Exploratory Study
- Authors
- Agustin Quilez
- Journal
- Journal of Women s Health Care
- Year
- 2016
- Study design
- Survey study
- Participants
- 110
- What was tested
- None - survey study
- Open access
- Yes
- Read the paper
- doi.org/10.4172/2167-0420.1000341
Original abstract
Objective: To study the socio-demographic profile of women with Premenstrual Dysphoric Disorder to assess factors those have an impact on their pathology and to explore the consequences of the disorder. Materials and Methods: Self-administered online survey distributed in four different internet forums around the world. The survey compiled socio-demographic data such as age, level of income, level of education, size of hometown, marital situation and employment status. Certain health-related items were also included to focus on the consequences of the illness. Results: A non-representative sample of 102 women with Premenstrual Dyspohric Disorder has been used to create a profile of women with Premenstrual Dysphoric Disorder who use Internet forums. The women surveyed provide data that closely fitted the symptom profile in the specialized literature. Thanks to the control questions another unplanned sample emerged of 110 women not diagnosed by professionals. This sample was used to make comparisons. Conclusions: The creation of a socio-demographic profile highlighted the consequences of Premenstrual Dysphoric Disorder. From the methodological point of view, the result emphasizes the need to use specific strategies in internet-based studies to improve participation and to check the authenticity of the responses.
Reproduced under CC-BY.
Topics
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