Background: With the dramatic growth in smartphones, mobile health applications (apps) in the field of healthcare or medicine, which are characterized by strong operability, flexibility and interactivity, provide a supplementary approach to medical learning. The aims of this study were to awaken medical students to pay more attention to the learning function of mobile health app and gain deeper insight into our understanding of the factors influencing medical students’ mobile health apps continuance intention for enhancing practical utilization. Methods: A cross-sectional survey was conducted with a self-designed questionnaire administered to medical students at Chongqing Medical University. Data were collected from 450 participants from March to April 2019. SPSS V.25 was used for the descriptive statistical analysis of the results. Smart PLS 3.2.7 was used to construct a structural equation modelling framework to estimate the influencing factors of medical students’ continuance intention to use mobile health apps. Results: The external characteristics of mobile health apps had a positive influence on perceived ease of use (β = 0.378, P < 0.001). Perceived ease of use had a positive impact on perceived usefulness (β = 0.573, P < 0.001). Perceived ease of use (β = 0.195, P = 0.011), perceived usefulness (β = 0.450, P < 0.001) and subjective norms (β = 0.255, P < 0.001) had a positive impact on attitude towards using mobile health apps. Additionally, perceived usefulness (β = 0.202, P < 0.001) and attitude (β = 0.730, P < 0.001) had a remarkable influence on continuance intention. Furthermore, the mediating effect of attitude between perceived usefulness and continuance intention was significant (β = 0.329, P < 0.001). Conclusion: Both perceived usefulness and attitude have a significant effect on medical students’ mobile health apps continuance intention. So, we suggest apps providers and developers evoking and maintaining users’ interest in mobile health apps and perfecting apps’ features from various aspect. Also, more attention should be paid on social relationship to introduce medical students to familiarize mobile health apps and strengthen adhesiveness of medical students.

The purpose of this study was to explore the factors of college students’ learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students is promoted. The study delves into the underlying factor influencing college students’ intention towards online learning. Moreover, it explores the specific impact of framework effect and achievement motivation on their online learning intention. Employing a convenient sampling technique, the study gathered responses from a sample of 468 students enrolled in a specific university. The findings reveal the successful establishment of a comprehensive model elucidating the factors influencing online learning intention. Notably, achievement motivation not only exerts a direct influence on learning intention, but also indirectly affects it through various factors within the online learning intention model, including learning attitude (LA), perceived ease of used (PEOU), and perceived usefulness (PU). Furthermore, these factors exhibit varying impacts on online learning intention within different message framing contexts. The study’s innovative and practical nature lies in its integration of the technology acceptance model (TAM) and theory of planned behavior (TPB) to establish a comprehensive model of online learning intention. By offering pertinent recommendations, the study aims to optimize the online learning methods of university educators and improve the quality of online instruction. By investigation the specific influence of achievement motivation and framing effect on online learning intention through this model, the study provides some feasible methods for educators to use the factor model to improve online learning intention of university students.

Background: Social media is a powerful tool for the dissemination of health messages. However, few studies have focused on the factors that improve the influence of health messages on social media. Objective: To explore the influence of goal-framing effects, information organizing, and the use of pictures or videos in health-promoting messages, we conducted a case study of Sina Weibo, a popular social media platform in China. Methods: Literature review and expert discussion were used to determine the health themes of childhood obesity, smoking, and cancer. Web crawler technology was employed to capture data on health-promoting messages. We used the number of retweets, comments, and likes to evaluate the influence of a message. Statistical analysis was then conducted after manual coding. Specifically, binary logistic regression was used for the data analyses. Results: We crawled 20,799 Sina Weibo messages and selected 389 health-promoting messages for this study. Results indicated that the use of gain-framed messages could improve the influence of messages regarding childhood obesity (P<.001), smoking (P=.03), and cancer (P<.001). Statistical expressions could improve the influence of messages about childhood obesity (P=.02), smoking (P=.002), and cancer (P<.001). However, the use of videos significantly improved the influence of health-promoting messages only for the smoking-related messages (P=.009). Conclusions: The findings suggested that gain-framed messages and statistical expressions can be successful strategies to improve the influence of messages. Moreover, appropriate pictures and videos should be added as much as possible when generating health-promoting messages.

Background: Students are a priority population in mental health research. This study aimed to explore the risk factors of anxiety and depression symptoms among college students in Chongqing, a megacity under the impact of COVID-19, and to provide a basis for determining the priorities of public health policies and implementing effective educational health care interventions. Methods: In this cross-sectional study conducted in Chongqing, China, the data came from web-based stratified random sampling. Anxiety and depression symptoms were measured by the Self-Rating Anxiety Scale (SAS) and the Center for Epidemiological Studies Depression Scale (CES-D), respectively, and risk factors were analyzed by logistic regression. Results: Data were obtained from 915 college students (34.75% were male, and 65.25% were female) with age (20.29 ± 1.51) in Chongqing, China. The prevalence rates of anxiety and depression were 19.78% and 22.62%, respectively. Logistic regression analysis revealed that the risk factors of anxiety symptoms were associated with junior years, sleep time of less than 6 h a day, influence on career planning, and depression symptoms. Comprehensive, science and engineering, and medicine disciplines, having siblings, poorer mastery of study, and anxiety symptoms were risk factors for developing depression symptoms. Conclusions: During the pandemic, college students experienced varying degrees of anxiety and depression. Our research findings highlight the necessity of universities and relevant departments providing precise mental health education for college students under major public health emergencies.

Objective: This study explored whether the efficacy of food safety education interventions can be increased by message framing among medical university students, and demonstrated the role of personal involvement within the message recipient in moderating framed effects. Methods: A cross-sectional study of food safety message framing was conducted among medical university students (randomly selected 1353 participants). An online self-administered questionnaire was used to collect information. Wilcoxon rank-sum test and Ordered multivariate logistic regression were utilised in the data analyses. Results: The present study showed significant differences in acceptance between the gain- and loss-framed groups (p < 0.001). Participants with higher personal involvement had higher acceptance than those with low personal involvement in gain- and loss-framed message models (p < 0.001). The acceptance of participants who were concerned about their health condition was higher than those who were neutral regarding their health condition (p < 0.001) and participants who suffered a food safety incident had higher acceptance than those who did not (p < 0.05). Conclusions: This study portrayed the selection preference of message framing on food safety education among medical university students in southwest China. Participants exposed to loss-framed messages had higher message acceptance than those exposed to gain-framed messages. Personal involvement may affect the food safety message framing. Public health advocates and professionals can use framed messages as a strategy to enhance intervention efficacy in the process of food safety education.

Background: The safety of medication use among older adults is a growing concern, given the aging population. Despite widespread attention, the exploration of medication literacy in older adults, particularly from the perspective of information literacy, is in its nascent stages.Methods: This study utilized the existing literature to define medication information literacy (MIL) as a theoretical framework. A two‐round Delphi survey was conducted to identify the essential components of a MIL indicator system for older adults. The analytic hierarchy process (AHP) was then used to assign weights to each indicator.Results: The study observed relatively high response rates in both rounds of the questionnaire, which, along with expert authority coefficients (Cr) of 0.86 and 0.89, underscores the credibility and expertise of the panellists. Additionally, Kendall's coefficient of concordance (Kendall's W) ranging from 0.157 to 0.33 (p < 0.05) indicates a consensus among experts on the identified indicators. Utilizing the Delphi process, a MIL indicator system for older adults was developed, comprising five primary and 23 secondary indicators. These indicators were weighted, with medication information cognition and acquisition emerging as pivotal factors in enhancing medication literacy among older adults.Conclusions: This study developed a MIL indicator system tailored for older adults using the Delphi approach. The findings can inform healthcare professionals in providing customized medication guidance and assist policymakers in crafting policies to enhance medication safety among older adults.Patient or Public Contribution: Patient and public engagement played a pivotal role in the development of our medication information literacy indicator system for older adults. Their involvement contributed to shaping research questions, facilitating study participation, and enriching evidence interpretation. Collaborations with experts in geriatric nursing, medicine, and public health, along with discussions with caregivers and individuals with lived experience, provided invaluable insights into medication management among older adults. Their input guided our research direction and ensured the relevance and comprehensiveness of our findings.