Conectar
by Yu Chen, Xinjie Zhao, Ying Yue, Zhenyi Li, Si Chen
ObjectivesTo investigate factors associated with susceptibility to wild mushroom consumption using machine learning approaches and identify key predictors for targeted intervention development.
MethodsA cross-sectional survey of 216 Chinese university students employed three machine learning algorithms (Logistic Regression, Random Forest, Extremely Randomized Trees [ExtraTrees]) to predict consumption susceptibility based on demographics, media usage, and cognitive factors. Susceptibility was assessed through scenario-based questions following established frameworks from tobacco research. Model performance was evaluated using AUC with 95% confidence intervals calculated via bootstrap resampling (1,000 iterations). Sensitivity analyses were conducted using alternative susceptibility thresholds.
Results65.3% were classified as susceptible to consumption. Logistic Regression achieved highest performance (AUC = 0.776, 95% CI: 0.679–0.862). Risk perception emerged as the strongest predictor (importance = 0.133 ± 0.044), followed by mushroom picking experience (0.101 ± 0.017) and content impression (0.089 ± 0.018). Among the 63 participants (29.2%) who reported using AI models, 75.93% indicated trust levels of ‘fairly trust’ or above.
ConclusionsIn this exploratory study of Chinese university students from a single institution, cognitive factors, particularly risk perception and identification ability, showed the strongest associations with consumption susceptibility. These preliminary findings suggest that targeted interventions enhancing risk awareness may be relevant for this population, though replication across diverse samples is needed before broader conclusions can be drawn.
In December 2022, a large population infected with COVID-19 emerged in China, including frontline nurses. To maintain the medical system's function, many infected nurses returned to work before full recovery. This study aims to examine the characteristics of work resumption behaviour among the infected nurses and its influencing factors.
A nationwide cross-sectional study utilising questionnaire data.
An indicator was developed to assess the work resumption behaviour: work resumption type (autonomous work resumption, constrained work resumption). As the possible influencing factors of work resumption type, professional commitment, organisational commitment and psychological capital were included and measured by the Professional Commitment Scale (PCS), Organizational Commitment Questionnaire (OCQ), and Psychological Capital Questionnaire (PCQ). The logistic regression models were applied to estimate the association between the score of the PCS, OCQ, PCQ, and work resumption type.
A total of 30,062 nurses were included. The mean time of nurses returning to work after infection was 1.8 days, with 88.6% exhibiting autonomous work resumption behaviour. One standard deviation increment in the score of the PCS, OCQ, and PCQ was associated with a 41% (OR = 1.41), 29% (OR = 1.29) and 42% (OR = 1.42) average increase in the odds of having an autonomous work resumption, respectively.
The majority of nurses returned to work before full recovery during the pandemic. Elevated professional commitment, organisational commitment and psychological capital were associated with autonomous work resumption behaviour.
The large-scale work resumption in this emerging infectious disease outbreak demonstrated that the healthcare system should reevaluate nursing workforce growth targets for pandemics. It is still warranted for future research to explore the long-term effects of work resumption on individual and organisational levels.
Chinese clinical trial registry: ChiCTR2300067706 (January 8, 2023)
Patients undergoing abdominal surgeries have a chance to experience surgical-related anxiety. But the most effective non-pharmacological interventions in managing this anxiety have not yet been identified.
To examine the effectiveness of different types of non-pharmacological interventions, and identify the effective components on pre- and postoperative anxiety management among patients undergoing abdominal surgeries.
A systematic search of randomized control trials (RCTs) examined the effects of non-pharmacological interventions on preoperative and/or postoperative anxiety (Primary outcomes) among patients undergoing abdominal surgery was conducted across MEDLINE, Ovid Nursing, AMED, PsycINFO, CINAHL, EMBASE, Cochrane Library, HyRead, and WANFANG DATA from 1987 to March 1, 2024. Secondary outcomes including postoperative pain, postoperative analgesics consumption, resumption of postoperative bowel movements, and length of hospital stay were also examined. Cochrane Risk of Bias Tool (version 2.0) was used for quality assessment. Meta-analysis was performed to synthesize the findings. Narrative summaries were provided for the studies that could not be included in the meta-analysis.
This review included 35 RCTs. The interventions of included studies were categorized as prehabilitation, sensory stimulation, preoperative counseling, information provision, and psychological interventions. Meta-analysis revealed that preoperative counseling was beneficial in managing preoperative anxiety (SMD = −1.36; 95% CI = −1.96, −0.76), postoperative anxiety (SMD = −1.30; 95% CI = −1.62, −0.98), and postoperative pain (SMD = −0.84; 95% CI = −1.21, −0.47). Meanwhile, psychological interventions adopting relaxation exercises had potential effects in reducing postoperative opioid consumption and shortening time to postoperative bowel movement.
Adopting preoperative counseling is suggested for the management of pre- and postoperative anxiety and postoperative pain among patients undergoing elective abdominal surgeries. A one-off lasting for 20–45 min preoperative counseling including individualized information about the coming surgery and perioperative process, and a discussion addressing patients' concerns is recommended. Future research is needed to explore the effects of relaxation exercise on important patients' outcomes such as postoperative analgesics consumption and time to resume bowel movement among patients undergoing abdominal surgery.
PROSPERO registration number: CRD42023359484
To explore baseline activities of daily living (ADL) profiles and their association with memory decline over time in cognitively healthy, community-dwelling older adults.
Observational panel study.
This study analysed data from Waves 7–10 of the English Longitudinal Study of Ageing (the search was performed on May 28, 2024), including 2925 older adults aged above 65 with no dementia or cognitive impairments at baseline (Wave 7, 2014–2015). To categorise participants by their daily functional abilities at baseline, latent class analysis was conducted to derive participants' activities of daily living profiles. A linear mixed model was used to explore whether these baseline activity profiles might predict different memory decline rates (trajectories) over time, accounting for baseline demographic factors (gender, age, ethnicity, education, marital status and chronic diseases).
Social demographics (younger age, female gender, white ethnicity, higher education and being partnered) and ADL profiles outweigh health conditions in predicting participants' memory function. Different baseline profiles were linked to different memory decline trajectories. An impairment profile with grocery shopping capability was linked to slower memory decline.
This study showed that ADL profiles had a substantial correlation with memory decline, accounting for the significant impact of sociodemographic factors. An impairment profile that preserved grocery shopping abilities appeared to offer protective benefits and potentially slow memory decline.
Strengthening nursing strategies that support older adults in maintaining the ability to grocery shop, such as guiding caregivers to promote involvement rather than shopping for the older adults entirely, or accompanying older adults grocery shopping as part of community nursing care, might help delay age-related memory decline in this population.
Patients or members of the public were not directly involved in the study's design, conduct, reporting, or dissemination plans.
Nursing students are the primary reserve force for hospital nurses. With the shrinking of nurse human resources and the increase in turnover rates, understanding the job preferences of nursing students is crucial for attracting nursing students.
To systematically review published studies on discrete choice experiments involving nursing students.
Ten databases were systematically searched from their inception to January 15, 2025. Two researchers independently used the International Society for Pharmacoeconomics and Outcomes Research checklist to evaluate the quality of the included studies. Thematic analysis was used to classify the attributes into broad categories and corresponding subcategories. The frequency, significance, relative importance, and willingness-to-pay of each attribute in the included studies were analyzed.
Fifteen studies spanning 12 countries were included, with a total of 102 individual attributes extracted and divided into two broad categories and six subcategories. Non-financial attributes were the most frequently reported broad category. The subgroup analyses indicated that nursing students from high-income countries valued income and were highly concerned about the working atmosphere.
Linking Evidence to Action:
The results of this systematic review provide important evidence for developing incentive policies to attract nursing students to the nursing profession.
The utilisation of artificial intelligence in the context of nursing education has become increasingly extensive. However, various studies show differing perspectives and attitudes among nursing students, and the findings have not been systematically synthesised.
To systematically review the perceptions and attitudes of nursing students on the application of artificial intelligence in nursing education.
Mixed-methods systematic review.
A comprehensive literature search was conducted across 10 databases, including PubMed, Cochrane, Embase, Web of Science, CINAHL, Scopus, China Science and Technology Journal Database, SinoMed, China National Knowledge Internet, and WanFang database, the inclusive years of articles searched were from 1969 to 2025. Two researchers independently screened the literature and extracted the data. The mixed methods assessment tool was used to evaluate the risk of bias in the included literature. The relevant data were extracted and synthesised according to the Joanna Briggs Institute's convergence synthesis method, ensuring the comprehensive integration of qualitative and quantitative results. These results were then integrated into the Technology Acceptance Model.
A total of 28 articles were included, including 13 qualitative studies, 13 quantitative studies, and 2 mixed-method studies. According to the Technology Acceptance Model, the perceptions and attitudes of nursing students on the nursing education's adoption of artificial intelligence were integrated into 10 categories of three comprehensive themes: (i) Nursing students' perceptions and attitudes of the ease of use of artificial intelligence in nursing education, including 3 categories; (ii) nursing students' perceptions and attitudes on the usefulness of artificial intelligence in nursing education, including 4 categories; (iii) nursing students' behavioural intention, including 3 categories.
Overall, our study demonstrated that nursing students had an active willingness to utilise artificial intelligence. However, they acknowledged that certain issues persist regarding the ease and practicality of artificial intelligence in nursing education.
No patients or members of the public were directly involved in this systematic review, as the study synthesised existing literature.
Improving global access to pain management medications for cancer patients remains a critical priority. Nurses are now understood to play an essential role in cancer pain medication management, yet the barriers and facilitators they encounter require urgent identification.
This systematic review aimed to identify the barriers and facilitators for nurses in managing cancer pain medication.
This systematic review followed the Joanna Briggs Institute (JBI)'s guidelines for qualitative systematic reviews.
Eleven databases (PubMed, Web of Science, the Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Scopus, OPENGREY.EU, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database (VIP) and SinoMed) were searched from their inception to 9th July 2025. Articles were evaluated for quality using JBI critical appraisal tools. Data extraction was performed according to JBI standardised protocols, and evidence synthesis was conducted using JBI meta-aggregation, which involved extracting findings, categorising them into thematic groups and synthesising them into comprehensive statements.
Twenty-four qualitative studies were reviewed in the present study. Two synthesised findings regarding the barriers and facilitators for nurses in managing cancer pain medication were integrated: (1) Barriers for nurses to manage cancer pain medication were summarised into five categories: systemic barriers, resource barriers, knowledge and skills barriers, financial and cultural barriers and communication and psychological barriers; (2) Facilitators for nurses to manage cancer pain medication were summarised into three categories: nursing capacity building, supportive care environments and collaborative support systems.
Multilevel barriers impede nurse-led cancer pain management, necessitating policy reforms (e.g., tiered prescribing), investments in telehealth/training and culturally responsive interprofessional collaboration. Prioritising facilitators, capacity building, supportive environments and collaboration is vital to empower nurses in delivering equitable, evidence-based pain relief.
This review equips clinical managers and policymakers with evidence to implement policy and practice reforms, such as tiered prescribing and interprofessional collaboration, which are critical to empower nurses in delivering effective cancer pain management.
This systematic review was prospectively registered in PROSPERO prior to the initiation of the search (Registration ID: CRD42024570807).
There was no patient or public contribution.
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