目的:基于SEER数据库的宫颈癌患者影响因素分析,分析影响宫颈癌预后的相关因素,为宫颈癌患者预后恢复及治疗提供科学参考依据。方法:利用SEER数据库初步筛查宫颈癌相关数据,从中下载所有符合研究的宫颈癌患者的不同病理分型的数据,选用...目的:基于SEER数据库的宫颈癌患者影响因素分析,分析影响宫颈癌预后的相关因素,为宫颈癌患者预后恢复及治疗提供科学参考依据。方法:利用SEER数据库初步筛查宫颈癌相关数据,从中下载所有符合研究的宫颈癌患者的不同病理分型的数据,选用第八期T,N,M分期对数据的T,N,M分期进行整理,标准化,筛选,筛选条件为患者第八期T,N,M分期明确,有符合要求的观察结局,如死亡或存活。通过筛查出的患者的不同病理分型的数据,运用SPSS26.0统计软件进行统计描述,采用Kaplan-Meier法。描绘生存曲线并估计患者的生存率,死亡率。生存时间分布的组间比较采用Log-Rank检验,对分析结果中P α = 0.05,以P Objective: Study on the prognostic risk model of cervical cancer patients based on SEER database, analyze the relevant factors affecting the prognosis of cervical cancer, and provide scientific reference for the prognosis recovery and treatment of cervical cancer patients. Methods: The SEER database was used to preliminarily screen the data related to cervical cancer, download the data of different pathological types of cervical cancer patients in line with the study, and select the eighth stage T, N, M to sort out, standardize and screen the T, N and M stages of the data. The screening conditions were that the eighth stage T, N and M stages of patients were clear, and there were satisfactory observed outcomes, such as death or survival. Through the data of different pathological types of patients screened, spss26 0 statistical software for statistical description, using Kaplan Meier method. Draw the survival curve and estimate the survival rate and mortality of patients. The inter group comparison of survival time distribution adopts log rank test to conduct multi factor Cox analysis on the variables with statistical significance of P α = 0.05, P < 0.05. Result: (1) Kaplan Meier univariate analysis: different pathological stages of T stage, N stage and M stage have an impact on the survival of patients, which is statistically significant (P < 0.05), and can affect the survival of patients to varying degrees. (2) Cox multivariate analysis: T stage, N stage and M stage were independent prognostic factors affecting the survival time of patients. Conclusion: Different T, N and M pathological stages of different cervical cancer patients can affect the prognosis of cervical cancer patients to varying degrees. They have a significant impact on the mortality and survival rate of cervical cancer patients, and can provide relevant basis for the development and improvement of the treatment scheme of cervical cancer.展开更多
目的:分析重庆市某区职业健康素养水平及相关影响因素,为制定相关政策提供科学依据。方法:采用整群抽样方法,抽取某区汽车零部件及配件制造业、电气机械和器材制造业进行职业健康素养问卷调查,采用《全国重点人群职业健康素养监测调查...目的:分析重庆市某区职业健康素养水平及相关影响因素,为制定相关政策提供科学依据。方法:采用整群抽样方法,抽取某区汽车零部件及配件制造业、电气机械和器材制造业进行职业健康素养问卷调查,采用《全国重点人群职业健康素养监测调查个人问卷》(国统制[2022] 10)调查。结果:2022年重庆市某区职业健康素养水平为42.50%,低于2023年我国国家卫健委职业健康司发布的《2022年全国重点人群职业健康素养水平监测报告》中的全国重点人群职业健康素养水平(52.60%),经逐步多因素回归分析显示,性别、文化程度、平均每周工作时间均为调查对象是否具备职业健康素养的影响因素,差异有统计学意义(P Objective: To analyze the level of occupational health literacy and related influencing factors in a district of Chongqing, and to provide scientific basis for formulating relevant policies. Methods: The cluster sampling method was used to select the automobile parts and accessories manufacturing industry, electrical machinery and equipment manufacturing industry in a district to conduct an occupational health literacy questionnaire survey, and the National Occupational Health Literacy Monitoring Survey Personal Questionnaire for Key Populations (National Control System [2022] 10) was used to investigate. Results: The level of occupational health literacy in a district of Chongqing in 2022 was 42.50%, which was lower than the level of occupational health literacy of the national key population in the “2022 National Key Population Occupational Health Literacy Level Monitoring Report” issued by the Occupational Health Division of the National Health Commission in 2023 (52.60%). Stepwise multivariate regression analysis showed that gender, education level and average weekly working hours were the influencing factors of whether the respondents had occupational health literacy, and the difference was statistically significant (P < 0.05). Conclusion: There is still much room for improvement in the level of occupational health literacy in this area. In the future, the relevant work focus of occupational health literacy should be based on gender, education level, average weekly working hours and basic skills of occupational health protection, so as to improve the overall level of occupational health literacy in a targeted and overall manner.展开更多
文摘目的:基于SEER数据库的宫颈癌患者影响因素分析,分析影响宫颈癌预后的相关因素,为宫颈癌患者预后恢复及治疗提供科学参考依据。方法:利用SEER数据库初步筛查宫颈癌相关数据,从中下载所有符合研究的宫颈癌患者的不同病理分型的数据,选用第八期T,N,M分期对数据的T,N,M分期进行整理,标准化,筛选,筛选条件为患者第八期T,N,M分期明确,有符合要求的观察结局,如死亡或存活。通过筛查出的患者的不同病理分型的数据,运用SPSS26.0统计软件进行统计描述,采用Kaplan-Meier法。描绘生存曲线并估计患者的生存率,死亡率。生存时间分布的组间比较采用Log-Rank检验,对分析结果中P α = 0.05,以P Objective: Study on the prognostic risk model of cervical cancer patients based on SEER database, analyze the relevant factors affecting the prognosis of cervical cancer, and provide scientific reference for the prognosis recovery and treatment of cervical cancer patients. Methods: The SEER database was used to preliminarily screen the data related to cervical cancer, download the data of different pathological types of cervical cancer patients in line with the study, and select the eighth stage T, N, M to sort out, standardize and screen the T, N and M stages of the data. The screening conditions were that the eighth stage T, N and M stages of patients were clear, and there were satisfactory observed outcomes, such as death or survival. Through the data of different pathological types of patients screened, spss26 0 statistical software for statistical description, using Kaplan Meier method. Draw the survival curve and estimate the survival rate and mortality of patients. The inter group comparison of survival time distribution adopts log rank test to conduct multi factor Cox analysis on the variables with statistical significance of P α = 0.05, P < 0.05. Result: (1) Kaplan Meier univariate analysis: different pathological stages of T stage, N stage and M stage have an impact on the survival of patients, which is statistically significant (P < 0.05), and can affect the survival of patients to varying degrees. (2) Cox multivariate analysis: T stage, N stage and M stage were independent prognostic factors affecting the survival time of patients. Conclusion: Different T, N and M pathological stages of different cervical cancer patients can affect the prognosis of cervical cancer patients to varying degrees. They have a significant impact on the mortality and survival rate of cervical cancer patients, and can provide relevant basis for the development and improvement of the treatment scheme of cervical cancer.
文摘目的:分析重庆市某区职业健康素养水平及相关影响因素,为制定相关政策提供科学依据。方法:采用整群抽样方法,抽取某区汽车零部件及配件制造业、电气机械和器材制造业进行职业健康素养问卷调查,采用《全国重点人群职业健康素养监测调查个人问卷》(国统制[2022] 10)调查。结果:2022年重庆市某区职业健康素养水平为42.50%,低于2023年我国国家卫健委职业健康司发布的《2022年全国重点人群职业健康素养水平监测报告》中的全国重点人群职业健康素养水平(52.60%),经逐步多因素回归分析显示,性别、文化程度、平均每周工作时间均为调查对象是否具备职业健康素养的影响因素,差异有统计学意义(P Objective: To analyze the level of occupational health literacy and related influencing factors in a district of Chongqing, and to provide scientific basis for formulating relevant policies. Methods: The cluster sampling method was used to select the automobile parts and accessories manufacturing industry, electrical machinery and equipment manufacturing industry in a district to conduct an occupational health literacy questionnaire survey, and the National Occupational Health Literacy Monitoring Survey Personal Questionnaire for Key Populations (National Control System [2022] 10) was used to investigate. Results: The level of occupational health literacy in a district of Chongqing in 2022 was 42.50%, which was lower than the level of occupational health literacy of the national key population in the “2022 National Key Population Occupational Health Literacy Level Monitoring Report” issued by the Occupational Health Division of the National Health Commission in 2023 (52.60%). Stepwise multivariate regression analysis showed that gender, education level and average weekly working hours were the influencing factors of whether the respondents had occupational health literacy, and the difference was statistically significant (P < 0.05). Conclusion: There is still much room for improvement in the level of occupational health literacy in this area. In the future, the relevant work focus of occupational health literacy should be based on gender, education level, average weekly working hours and basic skills of occupational health protection, so as to improve the overall level of occupational health literacy in a targeted and overall manner.
