ArticleSSM - population health2022
The effect of college degree attainment on neurodegenerative symptoms in genetically at-risk women.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
The trial behind it
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Who cites it
10 citing papers in PubMed, 8 citations in OpenAlex.
- Interaction of FXTAS Family History and College Degree Attainment Predicts Trajectories of Cognitive and Motor Symptoms in FMR1 Premutation Carrier Women.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2026Article
- Use of Machine Learning to Identify Markers of Risk for Fragile X-Associated Tremor/Ataxia Syndrome: A Preliminary Analysis.Annals of neurology · 2026Article
- Cognitive dysfunction in women with theJournal of Alzheimer's disease : JAD · 2026Article
- FMR1 Premutation Carrier Mothers' Daily Negative Affect and Cortisol: Probing the Impacts of Stress Exposure, Coping Style, and CGG Repeats.American journal on intellectual and developmental disabilities · 2025Article
- Reduced Respiratory Sinus Arrhythmia in Infants with theInternational journal of molecular sciences · 2025Article
- Language use predicts symptoms of fragile X-associated tremor/ataxia syndrome in men and women with the FMR1 premutation.Scientific reports · 2024Article
- Review
- Mortality in Women across theCells · 2023Article
- Social and physical predictors of mental health impact in adult women who have anGenetics in medicine open · 2023Article
- An escalating continuum of learning and attention difficulties from premutation to full mutation in female carriers ofFrontiers in neurology · 2023Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using longitudinal data, the present study examined the association between college degree attainment and the manifestation of neurodegenerative symptoms among women (n = 93) at elevated genetic risk. The neurodegenerative symptoms investigated in this study are due to FXTAS (Fragile X-associated Tremor/Ataxia Syndrome), a condition with onset after age 50. Those at risk for FXTAS have a mutation of a single gene found on the X chromosome. FXTAS is characterized by intention tremor, gait ataxia, executive function deficits, memory issues, and neuropathy. College degree attainment has been shown to provide neuroprotective effects in the general population, delaying the development of neurodegenerative conditions such as Alzheimer's disease. For this reason, college degree attainment is a potentially salient resource for those at risk of FXTAS. The results of the present research indicated significantly more severe FXTAS symptoms in women who did not attain a college degree as compared with those who were college graduates, although the two groups were similar in age, genetic risk, household income, health behaviors, and general health problems. Furthermore, symptoms in those who did not attain a college degree worsened over the 9-year study period at a significantly faster rate than the college graduates. The association between college degree attainment and FXTAS symptoms was significantly mediated by depression, which was lower among the graduates than those who did not attain a college degree. Thus, the present research is an example of how a sociodemographic factor can mitigate neurodegenerative conditions in genetically at-risk adults.
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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.