1.Influencing factors for delay in healthcare-seeking, definitive diagnosis, identification in patients with pulmonary tuberculosis in Minhang District
MA Qiongjin ; YAN Huiqin ; WU Yunhua ; GUO Xu ; YANG Lijia ; TANG Lihong ; YANG Shengyuan
Journal of Preventive Medicine 2025;37(1):59-64
Objective:
To investigate the influencing factors for delay in healthcare-seeking, definitive diagnosis and identification in patients with pulmonary tuberculosis (PTB) in Minhang District, Shanghai Municipality, so as to provide the basis for effectively reducing delay in PTB patients.
Methods:
Data of PTB patients in Minhang District from 2017 to 2022 were collected from the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were analyzed, and factors affecting delay in healthcare-seeking, definitive diagnosis and identification were identified using multivariable logistic regression models.
Results:
A total of 4 214 PTB patients were reported in Minhang District from 2017 to 2022, including 2 802 males and 1 412 females, with a male-to-female ratio of 1.98∶1. The majority of patients were aged 25 to <45 years (1 664 cases, 39.49%). The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were 36.81%, 30.21% and 38.09%, respectively. Delay in healthcare-seeking was associated with the year (2018, OR=0.708; 2019, OR=0.549; 2020, OR=0.670; 2021, OR=0.682), gender (female, OR=1.199), occupation (worker, OR=1.379; housekeeping service/housework/unemployed, OR=1.481), case identification route (symptom-based consultation, OR=11.159), and level of the first-diagnosed hospital (city-level, OR=1.528). Delay in definitive diagnosis was associated with age (45 to <65 years, OR=1.476), occupation (commercial service, OR=0.687; housekeeping service/housework/unemployed, OR=0.672), household registration (non-local, OR=0.820), case identification route (symptom-based consultation, OR=0.616), pathogen test result (negative/not tested, OR=1.903), and the level of the first-diagnosed hospital (city-level, OR=0.311). Delay in identification was associated with the year (2018, OR=0.785; 2019, OR=0.647; 2020, OR=0.790; 2021, OR=0.710), occupation (commercial service, OR=0.687), household registration (non-local, OR=0.848) and level of the first-diagnosed hospital (city-level, OR=0.560)
Conclusions
Year, gender, occupation, case identification route and level of the first-diagnosed hospital are influencing factors for delay in healthcare-seeking in PTB patients. Age, occupation, household registration, case identification route, pathogen test result and level of the first-diagnosed hospital are influencing factors for delay in definitive diagnosis. Year, occupation, household registration and level of the first-diagnosed hospital are influencing factors for delay in identification.
2.A retrospective cohort study on the impact of hemoglobin A1c variability on the incidence of malignant tumors in patients with type 2 diabetes mellitus in Minhang District, Shanghai
Pu LIU ; Qiongjin MA ; Jun LI
Journal of Public Health and Preventive Medicine 2025;36(5):67-70
Objective To investigate the effect of hemoglobin A1c variability on the incidence of malignant tumors in type 2 diabetes mellitus (T2DM) patients, and to provide a reference for the prevention and treatment of diabetes. Methods A retrospective cohort study was used to integrate Shanghai malignant tumor registration information and T2DM patient management information of Minhang Districts in Shanghai. A record linkage was carried out using ID numbers for patients who had been diagnosed through the Cancer Registry System. Average Real Variability(ARV)was used to assess the variability for hemoglobin A1c results, with no less than 3 measurements and no more than 1 follow-up visit per year. Cox proportional hazards regression models and Restricted Cubic Splines (RCS) were used for statistical analysis. ARV was grouped using quartile classification, represented by Q1, Q2, Q3, and Q4, respectively. Cox regression was performed using unadjusted model I and model II adjusted for gender, age, and group. Results A total of 2 762 research subjects were included in the present study, with 45.84% males and 54.16% females. The average age was (63.58±10.11) years, and an average follow-up time was (9.96±3.66) years. Malignant tumor incidence rate was 345.45/100 000 person years. There was statistical significance among different ARV groups (P=0.01). COX regression analysis of model I and model II showed that compared with Q1, the risk of Q4 group was significantly increased, with HRs of 2.72 (1.56-4.74) and 2.68 (1.53-4.68), respectively. The RCS graph's analysis showed that except for the ≥65-year-old group, the risk of tumor incidence gradually increased with the increase of ARV coefficient. Conclusion The variability of hemoglobin A1c is positively associated with the risk of occurrence of malignant tumors in type 2 diabetes patients. It is necessary to strengthen the monitoring of hemoglobin A1c and to reduce the health hazards caused by fluctuations in hemoglobin A1c.
3.A retrospective cohort study on the impact of hemoglobin A1c variability on the incidence of malignant tumors in patients with type 2 diabetes mellitus in Minhang District, Shanghai
Pu LIU ; Qiongjin MA ; Jun LI
Journal of Public Health and Preventive Medicine 2025;36(5):67-70
Objective To investigate the effect of hemoglobin A1c variability on the incidence of malignant tumors in type 2 diabetes mellitus (T2DM) patients, and to provide a reference for the prevention and treatment of diabetes. Methods A retrospective cohort study was used to integrate Shanghai malignant tumor registration information and T2DM patient management information of Minhang Districts in Shanghai. A record linkage was carried out using ID numbers for patients who had been diagnosed through the Cancer Registry System. Average Real Variability(ARV)was used to assess the variability for hemoglobin A1c results, with no less than 3 measurements and no more than 1 follow-up visit per year. Cox proportional hazards regression models and Restricted Cubic Splines (RCS) were used for statistical analysis. ARV was grouped using quartile classification, represented by Q1, Q2, Q3, and Q4, respectively. Cox regression was performed using unadjusted model I and model II adjusted for gender, age, and group. Results A total of 2 762 research subjects were included in the present study, with 45.84% males and 54.16% females. The average age was (63.58±10.11) years, and an average follow-up time was (9.96±3.66) years. Malignant tumor incidence rate was 345.45/100 000 person years. There was statistical significance among different ARV groups (P=0.01). COX regression analysis of model I and model II showed that compared with Q1, the risk of Q4 group was significantly increased, with HRs of 2.72 (1.56-4.74) and 2.68 (1.53-4.68), respectively. The RCS graph's analysis showed that except for the ≥65-year-old group, the risk of tumor incidence gradually increased with the increase of ARV coefficient. Conclusion The variability of hemoglobin A1c is positively associated with the risk of occurrence of malignant tumors in type 2 diabetes patients. It is necessary to strengthen the monitoring of hemoglobin A1c and to reduce the health hazards caused by fluctuations in hemoglobin A1c.
4.Analysis of the epidemiological characteristics of pulmonary tuberculosis in Minhang District of Shanghai , 2009 -2019
Hualin SU ; Lihong TANG ; Qiongjin MA ; Huiqin YAN ; Yunhua WU ; Yameng ZHAO ; Dunjia WANG
Journal of Public Health and Preventive Medicine 2020;31(6):71-74
Objective To investigate the epidemic characteristics of pulmonary tuberculosis (TB) in Minhang District of Shanghai, and to provide a scientific basis for TB prevention and control. Methods Data from active TB patients registered in Minhang District of Shanghai from 2009 to 2019 was collected and analyzed using descriptive epidemiological method. Results From 2009 to 2019 the registration rates of TB patients in Minhang district of Shanghai showed a downward trend, with an average annual registration rate of 32.35/100 000, including 3 611 (41.08%) patients who were registered permanent residents of Shanghai and 5 179 (58.92%) patients who were non-permanent residents. The ratio of men to women was 2.04:1. Workers accounted for more cases (22.77%) than other occupations among patients without registered permanent residence, while retirees accounted for the majority of cases (38.60%) among patients with registered permanent residence. Among the TB patients without registered residence, the highest proportion (45.86%) was in the 20-29 years old group, while the highest proportion in permanent residents was in the 50-59 years old group (19.47%). The peak incidence occurred in May in patients without registered permanent residence, while the peak incidence was in June in patients with registered permanent residence. Conclusion It is necessary to strengthen the prevention and control of TB in people without registered permanent residence of Shanghai, and at the same time, to strengthen the prevention and control of TB in old people and students with registered permanent residence of Shanghai.


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