[Keyword Network Analysis and Topic Modeling of News Articles Related to Artificial Intelligence and Nursing].

PURPOSE: The purpose of this study was to identify the main keywords, network properties, and main topics of news articles related to artificial intelligence technology in the field of nursing. METHODS: After collecting artificial intelligence-and nursing-related news articles published between January 1, 1991, and July 24, 2022, keywords were extracted via preprocessing. A total of 3,267 articles were searched, and 2,996 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4. RESULTS: As a result of analyzing the frequency of appearance, the keywords used most frequently were education, medical robot, telecom, dementia, and the older adults living alone. Keyword network analysis revealed the following results: a density of 0.002, an average degree of 8.79, and an average distance of 2.43; the central keywords identified were 'education,' 'medical robot,' and 'fourth industry.' Five topics were derived from news articles related to artificial intelligence and nursing: 'Artificial intelligence nursing research and development in the health and medical field,' 'Education using artificial intelligence for children and youth care,' 'Nursing robot for older adults care,' 'Community care policy and artificial intelligence,' and 'Smart care technology in an aging society.' CONCLUSION: The use of artificial intelligence may be helpful among the local community, older adult, children, and adolescents. In particular, health management using artificial intelligence is indispensable now that we are facing a super-aging society. In the future, studies on nursing intervention and development of nursing programs using artificial intelligence should be conducted.

Impact of Metabolic Syndrome on Mortality Among COVID-19 Patients

Background: Metabolic syndrome (MS) has been suggested related to severity of coronavirus disease 2019 (COVID-19). We aimed to identify the association between the presence of MetS and mortality among COVID-19 patients. Methods: We analyzed 3876 adults, confirmed with COVID-19 from January to June, 2020, based on the Korean National Health Insurance Service-COVID-19 data. Participants underwent a health examination provided by the NHIS between 2015 and 2017. The hazard ratios (HRs) of the mortality in COVID-19 patients according to MS were calculated by a multivariable Cox proportional hazards regression analysis. Results: During a follow-up, 3.1% (n = 120) died. The mortality rate was 3.8-fold higher in individuals with MS compared to those without it. The presence of MS was significantly associated with increased risks of mortality in COVID-19 patients even after adjusting for all confounding variables (HR: 1.68, 95% confidence interval [CI]: 1.142.47 in model 3). Of MS components, low high-density lipoprotein cholesterol was prominently associated with a greater mortality risk (HR: 1.63, 95% CI: 1.12-2.37 in model 3). The HRs of mortality increased in individuals with more numbers of MS components (p for trend <0.009 in model 3). Conclusions: The presence of MS and greater number of MS components were associated with increased mortality risk among COVID-19 patients.

Association between metabolic syndrome and mortality in patients with COVID-19: A nationwide cohort study.

OBJECTIVES: We investigated the association between metabolic syndrome (MetS) and mortality among coronavirus disease 2019 (COVID-19) patients in Korea. METHODS: We analyzed 3876 individuals aged ≥ 20 years who were confirmed with COVID-19 from January 1 to June 4, 2020 based on the Korea National Health Insurance Service (NHIS)-COVID-19 database and had undergone health examination by NHIS between 2015 and 2017. Multivariable Cox proportional hazard regression analyses were performed. RESULTS: Of total participants, the prevalence of MetS was 21.0% (n = 815). During 58.6 days of mean follow-up, 3.1 % (n = 120) of the participants died. Compared to individuals without MetS, COVID-19 patients with MetS had a significantly increased mortality risk after adjusting for confounders in total participants (hazard ratio [HR]: 1.68, 95 % confidence interval [CI]: 1.14-2.47) and women (HR: 2.41, 95 % CI: 1.17-4.96). A low high-density lipoprotein cholesterol level in total participants (HR: 1.63, 95 % CI: 1.12-2.37) and hyperglycemia in women (HR: 1.97, 95 % CI: 1.01-3.84) was associated with higher mortality risk. The mortality risk increased as the number of MetS components increased among total participants and women (P for trend = 0.009 and 0.016, respectively). In addition, MetS groups had higher mortality risk in aged ≥ 60 years (HR: 1.60, 95 % CI: 1.07-2.39), and never-smokers (2.08, 1.21-3.59). CONCLUSIONS: The presence of MetS and greater number of its components were associated with increased mortality risks particularly in female patients with COVID-19. Managing MetS may contribute to better outcomes of COVID-19.

Relationship between Attachment to Pet and Post-Traumatic Growth after Pet Loss: Mediated Moderating Effect of Cognitive Emotion Regulation Strategy through Separation Pain.

The declining fertility rate and an aging population have accelerated the number of single-person households and nuclear families, and the number of households raising pets has naturally increased. However, pet owners experience great sorrow and trauma due to the death of their pets. The stronger the attachment to pets, the more severe the separation pain caused by pet loss. The purpose of this study was to analyze the moderating effect of a cognitive emotion regulation strategy mediated through separation pain on the relationship between attachment and post-traumatic growth after pet loss among owners. The study participants were 303 owners who have experienced pet loss. We analyzed the mediated moderating effects by PROCESS macro. The results showed that the adaptive cognitive emotion regulation strategy strengthened the effect of attachment to pets on post-traumatic growth and decreased the effect on separation pain. Conversely, the maladaptive cognitive emotion regulation strategy weakened the effect of attachment to pets on post-traumatic growth and strengthened the effect on separation pain. The act of intentionally expanding the perspective on pet loss experience, switching into a more positive focus, and accepting reality will reduce the grief of its companions and become an opportunity for growth.