Correlates of adherence to a telephone-based multiple health behavior change cancer preventive intervention for teens: the Healthy for Life Program (HELP). | LitMetric
This study examined factors associated with teens' adherence to a multiple health behavior cancer preventive intervention. Analyses identified predictors of trial enrollment, run-in completion, and adherence (intervention initiation, number of sessions completed). Of 104 teens screened, 73% (n = 76) were trial eligible. White teens were more likely to enroll than non-Whites (χ(2)[1] df = 4.49, p = .04). Among enrolled teens, 76% (n = 50) completed the run-in; there were no differences between run-in completers and noncompleters. A majority of run-in completers (70%, n = 35) initiated the intervention, though teens who initiated the intervention were significantly younger than those who did not (p < .05). The mean number of sessions completed was 5.7 (SD = 2.6; maximum = 8). After adjusting for age, teens with poorer session engagement (e.g., less cooperative) completed fewer sessions (B = -1.97, p = .003, R (2) = .24). Implications for adolescent cancer prevention research are discussed.
Background: Clinician electronic actions within the electronic health record (EHR) are captured seamlessly in real-time during regular work activities in all major EHRs. Analysis of this EHR use metadata, such as audit log data, is increasingly used to understand the impact of work design on critical patient, workforce, and organizational outcomes.
Objective: Understand experiences and perspectives influencing the use and implementation of audit log data into practice.
Aim: The prognosis of masked hypertension is controversial. The aims of this meta-analysis were to determine the global prevalence of masked hypertension and to better understand its association with the risk of cardiorenal comorbidities and all-cause mortality.
Methods: We searched the PubMed, Embase (OVID), The Cochrane Library, WanFang Data, and CNKI databases for relevant studies published from inception until January 15, 2024.
Objective: This study aims to adapt and provide psychometric support for the validation of version B of the Edinburgh Cognitive and Behavioural ALS Screen (ECAS) for the Portuguese population, addressing the need for consistent cognitive evaluations in amyotrophic lateral sclerosis (ALS). A second culturally adapted ECAS screen facilitates the accurate characterization of ALS progression, mitigates learning effects, and supports tailored care management.
Methods: The adaptation process included forward-backward translation, cultural adaptation, and cognitive debriefing on a prospective sample of 193 ALS patients and 106 controls.
Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.
Polycystic ovary syndrome (PCOS), as a common endocrine and metabolic disorder, is often regarded as a primary cause of anovulatory infertility in women. The pathogenesis of PCOS is complex and influenced by multiple factors. Emerging evidence highlights that energy metabolism dysfunction and oxidative stress in granulosa cells (GCs) are pivotal contributors to aberrant follicular development and impaired fertility in PCOS patients.
