Objective:To explore the research hotspots and developmental trends in the application of artificial intelligence (AI) in the health management of chronic obstructive pulmonary disease (COPD) .Methods:Literature related to the application of AI in COPD health management published between 1999 and 2024 was retrieved from the Web of Science Core Collection database. Visualization analyses were performed using Scimago Graphica, VOSviewer, and CiteSpace software. National geographic maps, author and institutional collaboration networks, keyword co-occurrence graph, keyword clustering views, and burst detection analysis were constructed to identify research hotspots and trends in this field.Results:A total of 192 publications were included, with an overall increasing trend in annual publication volume. The United States ranked first in publication count. Collaboration among authors and research teams was relatively dispersed. Current research hotspots focus on COPD risk assessment and prediction, health promotion interventions for COPD patients, and improving diagnostic accuracy. Future research trends are expected to emphasize the broader application of AI algorithms, the development of predictive models to improve forecasting performance, integration of diverse technical approaches for differential diagnosis, and enhancement of patient adherence.Conclusions:The application of AI in COPD health management is expanding, yet international and inter-author collaboration remains insufficient. There is a need to broaden and deepen research in this field. Future work may focus more on optimizing and applying algorithmic technologies and improving system construction to enhance patient adherence.

Objective:To explore the research hotspots and developmental trends in the application of artificial intelligence (AI) in the health management of chronic obstructive pulmonary disease (COPD) .Methods:Literature related to the application of AI in COPD health management published between 1999 and 2024 was retrieved from the Web of Science Core Collection database. Visualization analyses were performed using Scimago Graphica, VOSviewer, and CiteSpace software. National geographic maps, author and institutional collaboration networks, keyword co-occurrence graph, keyword clustering views, and burst detection analysis were constructed to identify research hotspots and trends in this field.Results:A total of 192 publications were included, with an overall increasing trend in annual publication volume. The United States ranked first in publication count. Collaboration among authors and research teams was relatively dispersed. Current research hotspots focus on COPD risk assessment and prediction, health promotion interventions for COPD patients, and improving diagnostic accuracy. Future research trends are expected to emphasize the broader application of AI algorithms, the development of predictive models to improve forecasting performance, integration of diverse technical approaches for differential diagnosis, and enhancement of patient adherence.Conclusions:The application of AI in COPD health management is expanding, yet international and inter-author collaboration remains insufficient. There is a need to broaden and deepen research in this field. Future work may focus more on optimizing and applying algorithmic technologies and improving system construction to enhance patient adherence.

Objective To establish an illness perception intervention program for patients with chronic obstructive pulmonary disease(COPD)and preliminarily analyse its application effect.Methods On the basis of systematic retrieval,a draft of the illness perception intervention program for patients with COPD was formed through content analysis.From May to August 2022,after 2 rounds of expert consultation,the illness perception intervention program for patients with COPD was formed.Patients with COPD who were hospitalized in the respiratory departments of 2 hospitals in Jiangsu Province from December 2022 to January 2023 were selected as the study subjects by convenience sampling method.The experimental group was treated with the illness perception intervention program,while the control group was treated with routine nursing.The effects of the 2 groups were compared by Brief Illness Perception Questionnaire,Modified British Medical Research Council、Brief Illness Perception Questionnaire、Acceptance and Action Questionnaire Ⅱ,COPD Assessment Test,COPD Self-management Scale before and after intervention,and a month after intervention.Results The illness perception intervention program for patients with COPD included 6 intervention topics and 24 specific intervention items.In the 2 rounds of correspondence,the expert group authority coefficient was 0.81,and the Kendall coordination coefficients were 0.19 and 0.16 in the second round(all P＜0.001).In the intervention study,the recruitment rate of patients was 56％;the withdrawal rate was 15％;and the high compliance rate was 80％.Repeated measures analysis of variance showed that there was an interaction effect between the scores of Acceptance and Action Questionnaire Ⅱ of the 2 groups(P＜0.05).The differences in the scores of Brief Illness Perception Questionnaire,COPD Assessment Test,Self-management Scale between the 2 groups were statistically significant in terms of time effect(P＜0.05),and the differences in the scores of the Brief Illness Perception Questionnaire and Acceptance and Action Questionnaire Ⅱ between the 2 groups were statistically significant in terms of main effect(P＜0.05).Conclusion The established illness perception intervention program for patients with COPD is scientific,feasible and effective,and it can provide practical references for clinical healthcare workers to promote illness perception and improve negative psychology in patients with COPD.

Objective To understand the current status of implicit theory derivation forms and applications in the health field at home and abroad,and to provide references for clinical practice and future research.Methods In accordance with the scoping review framework,PubMed,Embase,Web of Science,Cochrane Library,CINAHL,PsycINFO,CNKI,Wanfang,VIP,SinoMed were searched for relevant studies.The time limit for the search was from the establishment of the databases to 10 March 2024.Results A total of 45 articles were included in the study,including 24 articles on health behaviour and 21 articles on mental health,covering 14 derivations of implicit theories such as implicit health theory,implicit weight theory and implicit emotion theory.The main intervention process of implicit theories can be summarised as 3 major steps:belief-led intervention,attention examination and outcome testing.Conclusion The research value of implicit theory in the field of health has been gradually explored,and it is an important antecedent to improve individual health behaviors and mental health,and its brief and effective intervention model is more compatible with the characteristics of nursing work,so domestic and foreign nursing researchers can learn from the relevant research results to further optimize the strategies of health education,preventive guidance,and psychological care,and to carry out high-quality studies to validate them.

Objective:To evaluate the influencing factors of chronic obstructive pulmonary disease (COPD) complicated with sarcopenia by Meta-analysis, so as to provide evidence-based basis for early prevention of sarcopenia.Methods:The literature on the influencing factors of COPD patients with sarcopenia was searched on China National Knowledge Infrastructure, VIP, WanFang Data, PubMed, Web of Science, Cochrane Library, CINAHL, and Embase. The search period was from database establishment to April 3, 2023. Stata 17.0 software was used for meta-analysis.Results:A total of 14 articles were included, including 13 cross-sectional studies and one cohort study. There were 1 921 COPD patients, of which 591 were complicated with sarcopenia. A total of 8 influencing factors were extracted. The analysis results showed that age [ OR=1.09, 95% confidence interval ( CI) : 1.06-1.12, P<0.01], the Global for Chronic Obstructive Lung Disease (GOLD) grade ( OR=8.83, 95% CI: 1.88-41.53), P<0.01), modified Medical Research Council Dyspnea Scale (mMRC) score ( OR=2.10, 95% CI: 1.30-3.40, P<0.01), BMI ( OR=0.65, 95% CI: 0.56-0.76, P<0.01), forced expiratory volume in the first second/forced vital capacity (FEV 1/FVC) ( OR=0.95, 95% CI: 0.92-0.99, P<0.01) were influencing factors for COPD patients with sarcopenia, while smoking, gender and TNF-α were not influencing factors for COPD patients with sarcopenia. Conclusions:Age, GOLD grade, mMRC score, BMI and FEV 1/FVC were influencing factors for COPD complicated with sarcopenia. Clinical medical and nursing staffs should pay attention to key populations and conduct early screening and prevention of sarcopenia.