Objective By conducting a statistical analysis of self-paid health examination items among individuals at a public medical institution in Xinjiang in 2023,this study aims to understand the preferences of different demographic groups re-garding health examination items.Methods Data from self-paid health examinations in 2023 were collected and analyzed using statistical methods such as chi-square tests and binary logistic regression to examine the frequency of selection,differences,and influencing factors of health examination items among different demographic groups.Results ① The total number of research subjects was 11,228,including 5,205 males and 6,023 females,with ages ranging from 18 to 94 years old.② The frequency of choosing examination items for males ranked from highest to lowest in the top 5 were thyroid B-ultrasound,prostate and bladder B-ultrasound,color Doppler echocardiography,spiral CT of the lungs,and glycosylated hemoglobin determination.For females,the frequency of choosing examination items ranked from highest to lowest in the top 5 were thyroid B-ultrasound,breast B-ultra-sound,vaginal B-ultrasound,vaginal discharge routine test combination,and spiral CT of the lungs.③ Older individuals were more likely to choose color Doppler echocardiography,spiral CT of the lungs,and glycosylated hemoglobin determination.Youn-ger individuals were more likely to choose thyroid B-ultrasound,13-carbon urea breath test;those with lower educational attain-ment were more likely to choose thyroid B-ultrasound,color Doppler echocardiography,spiral CT of the lungs,glycosylated hemo-globin,and 13-carbon urea breath test;those with fewer physical examinations were more likely to choose thyroid B-ultrasound,color Doppler echocardiography,spiral CT of the lungs,and 13-carbon urea breath test.Conclusion By analyzing the prefer-ences and influencing factors of health examination items among different demographic groups,targeted plans can be proposed to assist medical institutions in designing more appropriate health examination packages tailored to diverse populations.

Objective By conducting a statistical analysis of self-paid health examination items among individuals at a public medical institution in Xinjiang in 2023,this study aims to understand the preferences of different demographic groups re-garding health examination items.Methods Data from self-paid health examinations in 2023 were collected and analyzed using statistical methods such as chi-square tests and binary logistic regression to examine the frequency of selection,differences,and influencing factors of health examination items among different demographic groups.Results ① The total number of research subjects was 11,228,including 5,205 males and 6,023 females,with ages ranging from 18 to 94 years old.② The frequency of choosing examination items for males ranked from highest to lowest in the top 5 were thyroid B-ultrasound,prostate and bladder B-ultrasound,color Doppler echocardiography,spiral CT of the lungs,and glycosylated hemoglobin determination.For females,the frequency of choosing examination items ranked from highest to lowest in the top 5 were thyroid B-ultrasound,breast B-ultra-sound,vaginal B-ultrasound,vaginal discharge routine test combination,and spiral CT of the lungs.③ Older individuals were more likely to choose color Doppler echocardiography,spiral CT of the lungs,and glycosylated hemoglobin determination.Youn-ger individuals were more likely to choose thyroid B-ultrasound,13-carbon urea breath test;those with lower educational attain-ment were more likely to choose thyroid B-ultrasound,color Doppler echocardiography,spiral CT of the lungs,glycosylated hemo-globin,and 13-carbon urea breath test;those with fewer physical examinations were more likely to choose thyroid B-ultrasound,color Doppler echocardiography,spiral CT of the lungs,and 13-carbon urea breath test.Conclusion By analyzing the prefer-ences and influencing factors of health examination items among different demographic groups,targeted plans can be proposed to assist medical institutions in designing more appropriate health examination packages tailored to diverse populations.