Predictive models for delay in medical decision-making among older patients with acute ischemic stroke: a comparative study using logistic regression analysis and lightGBM algorithm.

Objective: To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and the Light Gradient Boosting Machine (LightGBM) algorithm, and compare the two predictive models.

Methods: A cross-sectional study was conducted among 309 older patients aged ≥ 60 who underwent AIS. Demographic characteristics, stroke onset characteristics, previous stroke knowledge level, health literacy, and social network were recorded.

Depression Mediates the Association Between Burden and Quality of Life in Informal Caregivers of Stroke Survivors: Meta-analytic Structural Equation Modeling.

Objective: This study aims to use Meta-analytical structural equation modeling (MASEM) to clarify the relationship between burden, depression, and quality of life in informal caregivers of stroke survivors.

Data Sources: The databases of PubMed, Cochrane Library, Embase, China Knowledge Resource Integrated Database, Wan Fang Database, and Chinese Biomedical Database were comprehensively searched before January 16, 2023.

Study Selection: Two researchers performed an independent initial search by using a unified search strategy.

Latent profile analysis of the symptoms of depression and activities of daily living impairment among older adults.

Background: With the aging population, depressive symptoms and impaired Activities of Daily Living have increased medical costs and mortality, generating severe public health issues. This study reconsiders the potential classification of depressive symptoms and ADL impairment in older adults and identifies various factors that may affect classifications.

Methods: This study focused on 6270 Chinese adults aged 65 years or older.

Determinants Influencing Health-Promoting Behaviors in Individuals at High Risk of Stroke: A Cross-Sectional Study.

Background: Health-promoting behaviors and positive lifestyle changes are crucial for effective stroke prevention. However, individuals at high risk of stroke exhibit poor health behavior due to a deficiency of individual motivation. Moreover, there are only a few studies on health-promoting behaviors that have applied behavior change theories in individuals at high risk of stroke.

Corrigendum: Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Parallel Latent Growth Curve Modeling Approach.

[This corrects the article DOI: 10.3389/ijph.2022.

Has the COVID-19 pandemic affected nursing students' career self-efficacy and professional calling? The mediating impact of professional identity.

Background: Professional calling (PC) is crucial for ascertaining their professional goals and fulfilling career choices in nursing students. Thus, understanding its antecedents and helping schools improve PC among nursing students is critical. This study aims to explore whether professional identity (PI), as a crucial antecedent of PC, acts as an intermediary between career self-efficacy (CSE) and professional calling during the COVID-19 pandemic.

The mediating effect of post-stroke depression between social support and quality of life among stroke survivors: A meta-analytic structural equation modeling.

Objectives: The aim was to confirm the relationship between social support (SS), post-stroke depression (PSD), and quality of life (QOL) and determine the mediating effect of PSD in stroke survivors. Additionally, we tested the impact of economic development level (in developed or developing countries) on the relationship between SS, PSD, and QOL.

Methods: This study utilized meta-analytic structural equation modeling on systematically searched articles from PubMed, MEDLINE, Cochrane Library, Scopus, PsycINFO, Web of Science, China National Knowledge Infrastructure, and WanFang data published from inception to February 2022.

Joint developmental trajectories and temporal precedence of physical function decline and cognitive deterioration: A longitudinal population-based study.

Objectives: Previous studies primarily explored the unidirectional impact of cognition on physical function. However, the interplay between physical function and cognition and the temporal precedence in their predictive relationships have not been elucidated. We explored the bidirectional mechanism between physical function and cognition in a longitudinal dataset.

Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach.

Although the evidence from numerous longitudinal studies has indicated a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) has seldom been used to simultaneously investigate the relationship between their change trajectories. This study aimed to examine whether a change in DS was associated with CF over time using an LGCM. Data were collected from the Chinese Longitudinal Healthy Longevity Survey's 2011, 2014, and 2018 waves.

Mediating effect of post-stroke depression between activities of daily living and health-related quality of life: meta-analytic structural equation modeling.

Background: Stroke survivors face various problems that affect their health-related quality of life (HRQoL). Reduced activities of daily living (ADL) may contribute to post-stroke depression (PSD) and low HRQoL, and depression might be associated with low HRQoL. However, these relationships are not well known.