Objective:To explore the feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.

Objective:To explore the relationship between depression, perfectionism and self-injurious function in adolescents with self-injury.Methods:A total of 6 149 adolescents from two middle schools were selected by multi-stage random sampling method to conduct a cross-sectional investigation, and 530 cases with self-injurious behaviors were screened out as the self-injury group, while the remaining 5 619 students served as the non-self-injury group.The self-rating depression scale, the Chinese-revised Frost multidimensional perfectionism scale, and the Ottawa self-injury inventory Chinese revised version were used for investigation.SPSS 24.0 software was used for descriptive statistics and Spearman correlation analysis, and the PROCESS 4.1 macro program was used for mediating effect test(model 4)and moderating effect test(model 7).Results:(1)The incidence of self-injury among adolescents was 8.62%(530/6 149), which was significantly different in gender( χ2=50.942, P<0.01) and grade( χ2=37.401, P<0.01). (2)The scores of depression(48(41, 55)) and maladaptive perfectionism(64(53, 76)) in the self-injury group were higher than those in the non-self-injury group(36(29, 43), 49(35, 61)), and the differences were statistically significant( Z=-23.233, -18.599, both P<0.01). (3)Adolescents with self-injury mostly had external emotion regulation(70.38%(373/530)) as the dominant function.(4)The results of Spearman correlation analysis showed that self-injurious function was significantly and positively correlated with depression( r=0.382, P<0.01) and maladaptive perfectionism( r=0.356, P<0.01), and depression was significantly and positively correlated with maladaptive perfectionism( r=0.352, P<0.01). (5)Maladaptive perfectionism partially mediated the relationship between depression and self-injurious function( β=0.086, P<0.001), and the mediating effect accounted for 21.88%(0.086/0.393)of the total effect.(6)Gender moderated the first stage of the mediation pathway(depression→maladaptive perfectionism)( β=0.180, P<0.05), which indicated that depression had a stronger predictive effect on maladaptive perfectionism in women( βsimple=0.105, 95% CI=0.063-0.154, P<0.05). Conclusion:In the prediction of depression on self-injurious function, maladaptive perfectionism plays a partial mediating role, and this mediating effect is moderated by gender.

Objective:To explore the relationship between depression, perfectionism and self-injurious function in adolescents with self-injury.Methods:A total of 6 149 adolescents from two middle schools were selected by multi-stage random sampling method to conduct a cross-sectional investigation, and 530 cases with self-injurious behaviors were screened out as the self-injury group, while the remaining 5 619 students served as the non-self-injury group.The self-rating depression scale, the Chinese-revised Frost multidimensional perfectionism scale, and the Ottawa self-injury inventory Chinese revised version were used for investigation.SPSS 24.0 software was used for descriptive statistics and Spearman correlation analysis, and the PROCESS 4.1 macro program was used for mediating effect test(model 4)and moderating effect test(model 7).Results:(1)The incidence of self-injury among adolescents was 8.62%(530/6 149), which was significantly different in gender( χ2=50.942, P<0.01) and grade( χ2=37.401, P<0.01). (2)The scores of depression(48(41, 55)) and maladaptive perfectionism(64(53, 76)) in the self-injury group were higher than those in the non-self-injury group(36(29, 43), 49(35, 61)), and the differences were statistically significant( Z=-23.233, -18.599, both P<0.01). (3)Adolescents with self-injury mostly had external emotion regulation(70.38%(373/530)) as the dominant function.(4)The results of Spearman correlation analysis showed that self-injurious function was significantly and positively correlated with depression( r=0.382, P<0.01) and maladaptive perfectionism( r=0.356, P<0.01), and depression was significantly and positively correlated with maladaptive perfectionism( r=0.352, P<0.01). (5)Maladaptive perfectionism partially mediated the relationship between depression and self-injurious function( β=0.086, P<0.001), and the mediating effect accounted for 21.88%(0.086/0.393)of the total effect.(6)Gender moderated the first stage of the mediation pathway(depression→maladaptive perfectionism)( β=0.180, P<0.05), which indicated that depression had a stronger predictive effect on maladaptive perfectionism in women( βsimple=0.105, 95% CI=0.063-0.154, P<0.05). Conclusion:In the prediction of depression on self-injurious function, maladaptive perfectionism plays a partial mediating role, and this mediating effect is moderated by gender.

Objective:To explore the feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.