98%
921
2 minutes
20
Purpose: Our purpose was to describe the prevalence and predictors of symptom and function clusters in a diverse cohort of colorectal cancer survivors.
Methods: We used data from a cohort of 909 adult colorectal cancer survivors. Participants were surveyed at a median of 9 months after diagnosis to ascertain the co-occurrence of eight distinct symptom and functional domains. We used factor analysis to identify co-occurring domains and latent profile analysis (LPA) to identify subgroups of survivors with different symptom and function clusters. Multinomial logistic regression models were used to identify risk/protective factors.
Results: Factor analysis demonstrated a single underlying factor structure that included all eight health domains with depression and anxiety highly correlated (r = 0.87). The LPA identified three symptom and function clusters, with 30% of survivors in the low health-related quality of life (HRQOL) profile having the highest symptom burden and lowest functioning. In multivariable models, survivors more likely to be in the low HRQOL profile included being non-White, female, those with a history of cardiac or mental health conditions, and chemotherapy recipients. Survivors less likely to be in the low HRQOL profile included those with older age, greater financial well-being, and more spirituality.
Conclusion: Nearly one-third of colorectal cancer survivors experienced a cluster of physical and psychosocial symptoms that co-occur with clinically relevant deficits in function.
Implications For Cancer Survivors: Improving the identification of risk factors for having the highest symptom and lowest function profile can inform the development of clinical interventions to mitigate their adverse impact on cancer survivors' HRQOL.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110561 | PMC |
http://dx.doi.org/10.1007/s11764-021-01123-6 | DOI Listing |
J Alzheimers Dis
September 2025
Department of Medicine and Surgery, Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Università Campus Bio-Medico di Roma, Roma, Italy.
BackgroundAlzheimer's disease (AD) is the most common neurodegenerative disorder. While AD diagnosis traditionally relies on clinical criteria, recent trends favor a precise biological definition. Existing biomarkers efficiently detect AD pathology but inadequately reflect the extent of cognitive impairment or disease heterogeneity.
View Article and Find Full Text PDFBackground: People with dementia who have a fall can experience both physical and psychological effects, often leading to diminished independence. Falls impose economic costs on the healthcare system. Despite elevated fall risks in dementia populations, evidence supporting effective home-based interventions remains limited.
View Article and Find Full Text PDFCereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
View Article and Find Full Text PDFCereb Cortex
August 2025
School of Psychology, University of Surrey, Stag Hill, Guildford, Surrey, GU2 7XH, United Kingdom.
Alpha oscillations have been implicated in the maintenance of working memory representations. Notably, when memorised content is spatially lateralised, the power of posterior alpha activity exhibits corresponding lateralisation during the retention interval, consistent with the retinotopic organisation of the visual cortex. Beyond power, alpha frequency has also been linked to memory performan ce, with faster alpha rhythms associated with enhanced retention.
View Article and Find Full Text PDFCereb Cortex
August 2025
Aix-Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, France.
Over three decades, statistical parametric mapping has transformed neuroimaging from descriptive mapping to causal inference, placing generative models at the core of causal explanations for brain function. It inspired to a large degree The Virtual Brain, which builds subject-specific digital twins from multimodal data, enabling brain simulations and exploration. Both frameworks converge at parameter estimation, where model and data meet, providing the mathematical manifestation of cause-effect in pathophysiology.
View Article and Find Full Text PDF