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#### Age and Gender Distribution
**Age Distribution:** Among the respondents, the 21-30 age group accounted for the highest percentage (44.77%), followed by the 10-20 age group (33.82%). These two groups combined made up nearly 80% of the respondents, indicating a high level of interest in health and medical technology among younger people. This may be related to their higher education levels and greater acceptance of new technologies.
**Gender Distribution:** The gender ratio was relatively balanced, with males and females accounting for 49.84% and 49.16%, respectively. This balanced distribution allows the survey results to comprehensively reflect the attitudes of different gender groups towards precision diagnosis.
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#### Occupation and Regional Distribution
**Occupation:** The majority of respondents were students (78.42%), while medical practitioners, educators, finance/engineering professionals, and other professionals were relatively underrepresented. This result may be influenced by the survey distribution channels and suggests that future surveys should target a broader range of occupational groups to gather more comprehensive opinions.
**Region and Living Environment:** Most participants were from North China (56.68%) and Northeast China (17.72%). The majority of respondents lived in urban areas (91.63%), with only a small portion from rural areas (3.54%). This indicates that urban residents have a higher interest in medical technology, which may be associated with the richer medical resources and more prevalent health education in urban settings.
**Health Status:** Most respondents reported having no known health problems or disease history (91.46%), but 8.54% did have health issues. This group may have a stronger demand for precision diagnostic technology and hope to monitor and manage their health more effectively through new technology.
**Family Cancer History:** Only 2.09% of respondents indicated a family history of cancer, which is relatively low. However, family history is a significant factor influencing people's attention to cancer screening. This suggests that in promoting precision diagnostic technology, special attention should be paid to those with a family history of cancer by providing regular screening recommendations to enhance their willingness for early detection.
The most concerning cancer types among respondents were lung cancer (18.68%), breast cancer (15.78%), and ovarian cancer (15.29%). The high incidence and mortality rates of these cancers may contribute to the public’s heightened concern. Additionally, lung cancer is often associated with smoking and environmental pollution, while breast and ovarian cancers are closely related to female reproductive health, making these cancers more alarming to the public.
