ArticleMaturitas2018
Clusters of midlife women identified by cognitive symptoms.
Article in Maturitas, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Clustering Iranian women according to their menopausal severity symptoms and exploring the factors associated with severe categories, using baseline category logit model.BMC women's health · 2024Article
- Physiologic and psychosocial changes of the menopause transition in US Latinas: a narrative review.Climacteric : the journal of the International Menopause Society · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
Abstract
objectivesThe study aimed to identify clusters of midlife women by their cognitive symptoms and to examine racial/ethnic differences in the clusters. STUDY
designThis secondary analysis was conducted on the data from 1054 midlife women of multi-ethnic groups in two Internet studies (conducted from 2005 to 2013).
main outcome measuresOnly the data from the questions on background characteristics, health status, and menopausal status and the Cognitive Symptom Index for Midlife Women were used for this secondary analysis. The data were analyzed using factor analyses, hierarchical cluster analyses, chi-square tests, multinomial logistic analyses, and analyses of covariance.
resultsFour clusters were extracted: the low total symptom group (Cluster 1; 49.9%), the low-moderate total symptom group with high tertiary symptoms (Cluster 2; 17.3%), the high-moderate total symptom group with low tertiary symptoms (Cluster 3; 21.2%); and the high total symptom group (Cluster 4; 11.7%). There were significant differences in the level of education, employment status, family income, marital status, social support, the country of birth, race/ethnicity, body mass index, perceived general health, diagnosed disease(s), access to health care, and menopausal status among the clusters (p < .01). There were significant racial/ethnic differences in the total numbers and total severity scores of tertiary symptoms in Cluster 1. Also, there were significant racial/ethnic differences in individual symptoms in each cluster.
conclusionsRacial/ethnic differences in midlife women's cognitive symptoms and multiple factors that might differently influence their cognitive symptoms need to be considered in health care for midlife women in menopausal transition.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.