ABSTRACT
Objective:To analyze the tendency of incidence and mortality of mechanical injuries among Chinese residents from 1990 through 2019 and to estimate the age-period-cohort effect.Methods:Based on the Global Burden of Disease (GBD) 2019 database, the incidence and mortality data of mechanical injuries among Chinese residents from 1990 to 2019 were extracted. The trends of age-standardized incidence rate (ASIR) and age-standardized death rate (ASDR) of mechanical injuries among Chinese residents by gender was analyzed using the joinpoint regression model, and the annual percent change (APC) and average annual percent change (AAPC) were calculated. The age-period-cohort model was used to quantitatively assess the effects of age, period, and cohort on ASIR and ASDR for mechanical injuries.Results:① Overall tendency: from 1990 to 2019, the ASIR of mechanical injuries showed an increasing trend (540.95/100 000 in 1990 vs. 815.34/100 000 in 2019), and the ASDR first increased slightly and then decreased (2.62/100 000 in 1990 vs. 2.87/100 000 in 2005 vs. 1.77/100 000 in 2019) among Chinese residents. During the observation period, ASIR and ASDR for mechanical injuries of male were higher than female. ② Joinpoint regression model analysis showed that the ASIR of mechanical injuries had a fluctuating trend of increasing first and then decreasing and then rising rapidly among Chinese residents from 1990 to 2019 (AAPC = 1.42%, t = 9.59, P < 0.001). The ASIR of the Chinese male showed a slight decrease and then continued to increase (AAPC = 1.47%, t = 8.72, P < 0.001), while the ASIR of the Chinese female showed a rapid rising at first, then rapidly declining and then rising again (AAPC = 1.31%, t = 12.11, P < 0.001). From 1990 to 2019, the ASDR of mechanical injuries showed a fluctuating downward trend of first decreasing, then increasing, and then rapidly decreasing among Chinese residents (AAPC = -1.39%, t = -6.72, P < 0.001). The decrease rate of ASDR among male was as same as that among all population (AAPC = -1.44%, t = -7.29, P < 0.001), but the decrease rate of ASDR in female was relatively slow (AAPC = -1.08%, t = -4.54, P < 0.001). ③ Age-period-cohort model analysis showed that, with the increase of age, the risk of mechanical injuries among the overall population, male and female in China increased, then decreased, and then increased rapidly. The first small peak was at the age of 45-49 years old in male and 65-69 years old in female. The overall death risk showed an increasing trend with age, with a slowly increasing trend before 75 years old, and a sudden increase after 75 years old. The peak age of death risk was between 90 and 94 years. In terms of period effect, the risk of mechanical injuries showed a gradually increasing trend with time among the overall population, male, and female in China, and the risk of death showed a trend of decreasing first and then rapidly increasing and then decreasing. In terms of cohort effect, the risk of mechanical injuries among the overall population, male, and female in China showed a gradual upward trend with the increase in the birth year, and the risk of death showed an M-shaped trend. Conclusions:From 1990 to 2019, the incidence of mechanical injuries showed an increasing trend, and the mortality increased first and then decreased. Although the disease burden has improved, it is still high. More attention needs to be paid to the prevention and control of mechanical injuries, especially in the young population.
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Objective To explore the factor structure of the anxiety imagery characteristics questionnaire.Methods Through the literature review and expert group discussion,the initial anxiety imagery features questionnaire was created.The first questionnaire contained 49 items of anxiety imagery,which was answered by 106 imagery dialogue psychotherapists.After analysis of the items and exploratory factors,the formal questionnaire that contained 20 items of anxiety imagery characteristics was formed.The formal questionnaire was measured by 115 imagery dialogue psychotherapists,then,exploratory and confirmatory factor analyses were made.Results The exploratory factor analysis showed that four factors whose Eigen value were more than 1 were extracted from l0 items,including emotional panic,uneasy,tense muscles,and motor restlessness.Those four factors explained 54.39％ of the total variance.Confirmatory analysis showed that x2/df was 2.142 ; root mean square error of approximation (RMSEA) was 0.059 ; and comparative fit index (CFI),goodness-of-fit index (GFI),non-normed fit index (NNFI) and RSMEA was 0.912,0.935,0.896,and 0.057,respectively.Conclusions The four-factor structure was constructed by 10 items of anxiety imagery characteristics questionnaire.
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Objective To investigate the cell-type-specific enhancer (CTSE) in HPV16 and its variation in cervical carcinoma. Methods CTSEs were detected by polymerase chain reaction (PCR) in 58 cervical carcinoma from Shaanxi province; in addition variation of CTSEs was analyzed through single-strand conformation polymorphisms (SSCP). Results HPV16 CTSEs were detectable in 34 of 58 (57%) specimens and mutant rate was 41%(14/34) and the main mutations of chosen randomly variant CTSE (CTSEv) happened at YY1 binding sites in addition to glucocoticoid response elements (GRE). Conclusion CTSE in some specimens of Shaanxi province was obviously different from that in HPV16 wild type and variant CTSE might affect the transcriptional regulation of LCR on viral P97, which regulates over-expression of viral oncogenes in cervical carcinoma.