1.Analysis of Spectrum and Spectrogram in Different Background of Hearing
Yun LIU ; Daoxing ZHANG ; Yongxiang LIU
Journal of Audiology and Speech Pathology 1998;0(03):-
Objective To find out the changes of voice in different noisy background by computer acoustic analysis.Methods 25 young people with normal hearing and normal vocal cords were selected.Sustained /a/ and /i/ were recorded in three different background:quiet, white band noise and speech noise. The software of Multi Speech and Doctor Speech were used. Testing parameters included: Fo, mean amplitudes, standard deviations of amplitudes,F 1, F 2.Results Fundamental frequencies of noisy groups were significantly higher in male-/a/, female-/a/ and female-/i/.F 1 of noisy groups were significantly higher in male-/a/, male-/i/ and female-/i/.Conclusion Fo and F 1 of normal people can be changed by noise of backgroud.
2.Utilization of health management services in new urban population and its influence factors
Chengming YUAN ; Xuewen ZHANG ; Runxuan HU ; Shumeng YAO ; Lei SUN ; Chaofan SUN ; Daoxing LIU
Chinese Journal of Health Management 2023;17(2):111-117
Objective:To investigate the utilization of health management services and its influencing factors among new urban population.Methods:It is a cross-sectional study. From July 2020 to March 2021, a stratified random sampling method was used to extract 1978 new urban population in Jining city, and an anonymous self-administered questionnaire survey was conducted using a self-made questionnaire ′Residents Health Questionnaire′. The survey included general demographic characteristics, personal behavior lifestyle and medical care status. The χ2 test and binary logistic regression were used to analyze the factors influencing the utilization of health management services by new urban population. Results:The overall utilization of health management services in the new urban population was 47.22%. There were significant differences in utilization of health management services among new urban population with different gender, age, education level, occupation and monthly income. Binary logistic regression analysis showed that female ( OR=1.354, 95% CI: 1.094-1.676), people aged over 60 years ( OR=1.873, 95% CI: 1.413-2.483), people with a mean monthly income over 3 000 yuan ( OR=1.498, 95% CI: 1.123-1.997), people engaged in light manual labor ( OR=1.596, 95% CI: 1.003-2.539), people who exercise regularly( OR=2.400, 95% CI: 2.028-2.841) and people having social basic medical insurance ( OR=2.633, 95% CI: 2.042-3.394) had better utilization of health management projects. People who sat more than 3 hours a day ( OR=0.630, 95% CI: 0.532-0.745) had lower utilization of health management care. Conclusion:The utilization of health management projects in the new urban population is low. Gender, age, monthly income, physical exercise, sedentary time, daily labor intensity and social basic medical insurance status are the main influencing factors.