Systematic Review and Meta-Analysis of Effects of Nurse-Led Intervention for People With Dementia

Background Nurses’ primary role in clinical settings for persons living with dementia is to lessen the strain of dementia on daily life, monitor comorbidities, and manage medications. However, no comprehensive literature review has investigated the effectiveness of nurse-led interventions for persons living with dementia. Objective The purpose of this study was to evaluate randomized controlled trials on the efficacy of nurse-led dementia interventions and provide an extended range of outcomes related to cognitive function, depression, and quality of life. Methods A comprehensive literature search of six databases was conducted from database inception to August 10, 2022. Methodologies were evaluated, followed by a pooled analysis using random effects models to explain the effects of nurse-led dementia interventions on patients. Results Nurse-led interventions were more effective than standard care in alleviating depression and improving quality of life. However, they did not enhance cognitive performance. Discussion Nurse-led interventions for dementia alleviate depression and improve quality of life. However, because of lack of randomized controlled trials, the analysis found less effectiveness in improving cognitive function. Therefore, further trials are needed to corroborate these findings.

Time Perspective, Dietary Behavior, and Glycemic Control in Patients With Type 2 Diabetes

Background Dietary behavior is a key component in the self-management of patients with Type 2 diabetes (T2DM), as it is essential for glycemic control and preventing diabetic complications. However, it is challenging for patients with diabetes to make sustainable dietary behavior changes and achieve long-term optimal glycemic control. Objectives Dietary behavior changes involve present efforts to achieve future benefits. The primary aim of this study was to investigate the relationships among time perspective, dietary behaviors, and health outcomes in patients with T2DM. Based on the temporal self-regulation theory and previous research, the secondary aim of the study was to explore how time perspective influences dietary behaviors. Methods Following convenient sampling (N = 329), a cross-sectional study was conducted in patients with T2DM between November 2021 and October 2022. Data were collected using self-reported questionnaires and the retrieval of clinical information from medical records. Hierarchical regression and path analysis were used to explore the relationships among study variables. Results Our analyses showed that a future-oriented time perspective was associated with better dietary behavior but was not significantly related to hemoglobin A1c. Hierarchical regression analysis also demonstrated that having a more future-oriented time perspective was associated with healthier dietary behavior after controlling covariates. Based on the theory and path analysis, there was an indirect effect of future time perspective on dietary behavior through self-control capacity and intention. Discussion The study reveals that a future-oriented time perspective can promote healthier dietary behavior when providing care for patients with T2DM. As a theoretical framework, the temporal self-regulation theory offers references for researchers and clinicians to take into consideration patients’ time perspectives and their intentions and self-control capacity when developing interventional programs to improve dietary behaviors.

Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices

Background Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual. Objectives We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time. Methods We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns. Results Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year. Conclusion We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels.