The Influence of Traffic Lights Presentation of Dementia Risk Screening Information on Older Adults' Motivations for Risk Reduction in Primary Care Settings.

OBJECTIVE: This study assessed older adults' preferences for how to communicate dementia risk information to maximize motivation for behavior change. METHOD: Eighty-nine community-dwelling older adults (aged 61 to 92 years, M=72.93, SD=6.36, 76% women) received dementia risk factor information in 2 formats: "traffic lights" (green=risk absent, amber=risk emerging, and red=risk present) or red/risk-only. Participants reported motivation to change risk-related behaviors, motivation to maintain good health behaviors, liking of the formats, categorical preference for traffic lights versus risk-only formats, reasons for preferences (open-ended), total applicable risks, and Motivation to Change Lifestyle and Health Behaviour for Dementia Risk Reduction. RESULTS: Traffic lights presentation was more motivating ( Z =4.16, P <0.001), more liked ( Z =4.80, P <0.001), and preferred, N Traffic =71, N Red =14, χ 2 (1)=38.22, P <0.001, over risk-only. Self-efficacy and motivation to maintain good health behaviors were significant unique predictors of motivation to change risk-related behaviors following traffic lights presentation over age, sex, education, total applicable risks, perceived susceptibility, cues to action, and liking of the traffic lights presentation format. Themes indicated (1) traffic light presentation is informative and clear, and (2) green-light information increases self-efficacy. CONCLUSIONS: Traffic light presentation increases patient motivation to reduce dementia risk. Green-light information increases self-efficacy. Maximizing motivation through information presentation can decrease dementia prevalence.

The relationship between social media use and psychosocial outcomes in older adults: A systematic review.

OBJECTIVES: Social isolation and loneliness are prevalent in older adults and are detrimental to physical and mental health. Social media use has been shown to be effective in maintaining social connections and improving older adults' psychosocial outcomes. This study aimed to systematically review and synthesize current research on this topic. DESIGN: Searches were conducted in November 2021 (and updated in October 2023) in PsycINFO, PubMed, and CINAHL. Inclusion criteria: (1) participants ≥ 65 years (mean, median, or minimum age) and (2) reported impact of social media use on psychosocial outcomes (including loneliness, depression, anxiety, social connectedness, wellbeing, life satisfaction, and quality of life). Quality appraisal tools were utilized, and results were synthesized using narrative synthesis. RESULTS: Sixty-four papers met inclusion criteria, including cross-sectional (n = 38), observational longitudinal (n = 6), interventional (n = 9), mixed-methods (n = 4), and qualitative (n = 7) studies. Participant numbers ranged from 6 to 16,925. While associations between social media use and positive psychosocial outcomes were generally reported in cross-sectional studies, the impact of social media use over time from longitudinal studies was mixed and inconclusive. CONCLUSIONS: While social media use is associated with positive psychosocial outcomes, casual conclusions cannot be drawn. Few longitudinal and randomized controlled trial studies existed, and these reported mixed findings. Large variations in study methodology including participants, measurement of social media use, and outcome measures contributed to the inconsistencies of findings. Addressing this heterogeneity through standardized approaches and more rigorous research may enhance understanding.

Research trends of the neuroimaging in aphasia: A bibliometric analysis and visualization analysis from 2004 to 2021.

Objectives: To review the current research status of the neuroimaging of aphasia, and reveal the hotspots and frontiers of research in this field. Methods: We searched articles related to the neuroimaging research on aphasia since Web of Science (WOS) database construction and extracted the data. CiteSpace and VOSviewer were used for the country/institution analysis, journal analysis, discipline analysis, burst keyword analysis and cited-reference cluster analysis. Results: Of the studies retrieved from WOS, 2922 studies that related to the neuroimaging of aphasia were screened and finally included 2799 articles for research. The United States of America and University of California San Francisco were the main countries and institutions in this field. Brain had the highest impact factor in both published and cited journals. Through the discipline and topic analysis of this field, the most common category was Neurosciences and Neurology. The keyword with the strongest citation strength was "functional connectivity," and the recent burst keywords were "functional connectivity" and "network." The co-citation network showed seven clusters greater than 100. Among the top 5 clusters, the most recently formed cluster, Cluster #2 (progressive supranuclear palsy), had an average year of 2017. The literature in the top 5 clusters mainly focused on 3 aspects, specifically, the discovery of language processing models, injury and recovery mechanisms of post-stroke aphasia (PSA), and diagnosis of primary progressive aphasia (PPA) variants. Conclusion: The results of this bibliometric study revealed the following three research hotspots in the neuroimaging of aphasia: clarifying the connotation of the most recognized language processing model, the dual-stream model, exploring the injury mechanism based on the dual-stream model and the recovery mechanism involving the left and right hemispheres of PSA, and determining the diagnostic criteria for PPA variants. A major research trend is to combine new neuroimaging technology, such as PET tracer technology, to realize the visual presentation of disease-specific proteins to improve the pathological diagnostic criteria of PPA variants. Accordingly, a visualized analysis of literature that uses CiteSpace provides a more rapid, repeatable and flexible method, which is more conducive to capturing research hotspots and emerging trends.

Targeting Reactive Oxygen Species in Atherosclerosis via Chinese Herbal Medicines.

Cardio-cerebrovascular disease (CCVD) has become the leading cause of human mortality with the coming acceleration of global population aging. Atherosclerosis is among the most common pathological changes in CCVDs. It is also a multifactorial disorder; oxidative stress caused by excessive production of reactive oxygen species (ROS) has become an important mechanism of atherosclerosis. Chinese herbal medicine (CHM) is a major type of natural medicine that has made great contributions to human health. CHMs are increasingly used in the auxiliary clinical treatment of atherosclerosis. Although their mechanism of action is unclear, CHMs can exert a variety of antiatherosclerosis effects by regulating intracellular ROS. In this review, we discussed the mechanism of ROS regulation in atherosclerosis and analyzed the role of CHMs in the treatment of atherosclerosis via ROS.

[Comparative study with the effect of stromal cell derived factor-1 on osteogenic differentiation of human healthy and inflammatory periodontal ligament stem cells].

OBJECTIVE: This study aims to compare the osteogenic differentiation capability of stem cells derived from human inflammatory periodontal ligament tissues (iPDLSCs) with those of stem cells derived from healthy periodontal ligament tissues (hPDLSCs). Both types of tissues were induced by stromal cell derived factor (SDF-1) in vitro. METHODS: iPDLSCs and hPDLSCs were primarily cultured by tissue digestion method and purified by limited dilution cloning. The cells were passaged and identified by stem cell surface marker expression through flow cytometry. Then, we used thiazolyl blue tetrazolium bromide to detect and compare the proliferation capabilities of the iPDLSCs and hPDLSCs. Express of bone volumes were detected by alizarin red staining after SDF-1 was added to the cells. Using alkaline phosphatase, we evaluated the osteogenic differentiation capability of the cells induced by SDF-1. The expression levels of the osteogenesis-related genes of the cells induced by SDF-1 were determined by reverse transcription-polymerase chain reaction. RESULTS: After purification, both iPDLSCs and hPDLSCs expressed stem cell markers. hPDLCSs had a higher proliferation capability than iPDLSCs. Osteogenesis-related genes had higher expression levels in the cells induced by SDF-1 than in those without induction (P<0.05). SDF-1 at 50 and 200 ng·mL⁻¹ concentration greatly affected the differen-tiation capabilities of iPDLSCs and hPDLSCs respectively. CONCLUSIONS: iPDLSCs and hPDLSCs had osteogenic differentia-tion capability. The level of osteogenic differentiation in normal and inflamed periodontal ligament stem cells increases after SDF-1 induction.