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- Title
Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis.
- Authors
Chen, Chen X.; Ofner, Susan; Bakoyannis, Giorgos; Kwekkeboom, Kristine L.; Carpenter, Janet S.
- Abstract
Dysmenorrhea is highly prevalent and may increase women’s risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The aims of the study were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the “mild localized pain” phenotype (n = 202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the “severe localized pain” phenotype (n = 412, 54.07%) had severe abdominal cramps. Women in the “multiple severe symptoms” phenotype (n = 148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype–phenotype associations, etiologic mechanisms, and/or variability in treatment responses.
- Subjects
UNITED States; DYSMENORRHEA; SYMPTOMS; HUMAN phenotype; CHRONIC pain; LATENT class analysis (Statistics); PATIENTS; PAIN risk factors; RESEARCH methodology; LATENT structure analysis; RESEARCH funding; SURVEYS; PHENOTYPES; CROSS-sectional method; DATA analysis software; DESCRIPTIVE statistics; GENETICS
- Publication
Western Journal of Nursing Research, 2018, Vol 40, Issue 10, p1452
- ISSN
0193-9459
- Publication type
Article
- DOI
10.1177/0193945917731778