ArticleNeuropsychiatric disease and treatment2016
Autistic traits in women with primary dysmenorrhea: a case-control study.
Article in Neuropsychiatric disease and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 8 citations in OpenAlex.
- Experiences of dysmenorrhea and its treatment among allistic and autistic menstruators: a thematic analysis.BMC women's health · 2023Article
- Reproductive health and healthcare experiences in autistic and non-autistic individuals assigned female at birth.Women's health (London, England)Article
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesRecent studies have shown that women with autism spectrum disorder have higher rates of menstrual problems, including irregular menstrual cycles, unusually painful periods (dysmenorrhea), and excessive menstrual bleeding. In this study, we investigated the autistic traits in female university students with primary dysmenorrhea (PD).
methodsSeventy females with PD and 70 females without PD were enrolled in the study. The Autism Spectrum Quotient (AQ) was used to measure autistic traits and the Brief Symptom Inventory was used for evaluating anxiety and depression levels. The dysmenorrheal pain was assessed by visual analog scale (VAS), coded from 0 to 10. Weight and height were measured, and the body mass index was calculated.
resultsThere were no statistical differences between the groups in terms of age, duration of education, and body mass index. Women with PD had higher AQ - Total, and AQ - Attention Switching subscale scores than subjects without PD. Spearman analysis revealed that AQ - Total and AQ - Attention Switching scores were correlated with VAS. According to the linear regression analysis, VAS was predicted only by AQ - Attention Switching subscale.
conclusionOur findings showed an association between autistic traits and dysmenorrhea in typically developing females.
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