Objective

2

To investigate and analyze the current status of medication adherence among 200 university students from a specific region in China from September 2023 to December 2024

explore its influencing factors

and provide evidence for enhancing medication safety among university students.

Methods

2

A stratified cluster sampling method was used to select 200 university students with a history of medication use during this period as the research subjects. The survey was conducted using a general information questionnaire

the Morisky Medication Adherence Scale (MMAS-8)

a Medication Knowledge Questionnaire

and the Social Support Rating Scale (SSRS). The data were analyzed using univariate and multivariate logistic regression.

Results

2

Among the 200 university students

86 cases (43.0%) had good medication adherence

while 114 cases (57.0%) had poor medication adherence. Univariate analysis showed that individuals with good medication knowledge had significantly better adherence than those with insufficient knowledge (P<0.001); the high social support group had significantly higher adherence than the medium and low social support groups (P<0.001); users of chronic disease medications had significantly higher adherence than users of cold medications and health supplements (P<0.001). Multivariate logistic regression analysis indicated that good medication knowledge (OR=5.231

P<0.001)

high social support level (OR=4.125

P<0.001)

and the use of chronic disease medications (OR=3.012

P=0.002) were independent protective factors for good medication adherence.

Conclusion

2

The overall level of medication adherence among university students in this region is low. The main influencing factors include medication knowledge

social support

and type of medication used. It is recommended to improve the standardization and safety of medication use among university students through various pathways such as health education

strengthening the social support system

and implementing categorized interventions

combined with the enabling power of AI technology.