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Objective: To understand the relationship between female breast cancer and occupational risk factors in Beijing, and provide scientific basis for the formulation of prevention strategies and measures. Methods: From June to December 2019, A 1: 1 case-control study was adopted, eight medical institutions in Beijing were selected as the research objects. Patients with breast cancer diagnosed by medical institutions were selected as case group and non breast cancer patients in the same medical institution as control group. A total of 973 subjects were included, including 495 in the case group and 478 in the control group. A one-to-one survey was conducted using a questionnaire uniformly compiled by the Beijing Centers for Disease Control and Prevention. The survey content mainly includes basic demographic characteristics and occupational risk factors. The Trait Coping Style Questionnaire (TCSQ) was used to investigate the corresponding methods, including two aspects: positive coping and negative coping. First, chi square test or Wilcoxon rank sum test were used for univariate analysis. Then Lasso regression was used to screen the risk factors of breast cancer. Finally, the risk factors were screened by multivariate logistic regression analysis. Results: Education lovel was 49.64%, body mass index (BMI) was 18.4~23.9 kg/m(2), accounting for 48.82%, marital status ws 84.48%. Compared with no night shift history, there was a significant increase in risk of breast cancer at night shift history (OR=1.70, 95% CI: 1.25~2.30, P<0.05) . Compared with most of the sitting posture and sometimes standing, the risk of breast cancer was increased, and the difference was statistically significant (OR=2.01, 95%CI: 1.40~2.90, P<0.05) . Conclusion: In the occupation risk factors, night shift work and working posture are related to the incidence of breast cancer in women, establishing a good schedule and avoiding long standing can effectively prevent and reduce the occurrence of breast cancer.
Subject(s)
Female , Humans , Beijing , Breast Neoplasms/epidemiology , Case-Control Studies , Logistic Models , Risk FactorsABSTRACT
OBJECTIVE: To analyze the active surveillance results of occupational pneumoconiosis(hereinafter referred to as “pneumoconiosis”) in Beijing in 2019. METHODS: A total of 2 634 dust exposed workers were recruited as the active surveillance subjects by judgment sampling method. The abnormalities and influencing factors of High kV or digital photography of posterior-anterior chest radiography(hereinafter referred to as “chest radiography”) and lung function were analyzed. RESULTS: The detection rate of abnormal chest radiograph and pulmonary dysfunction were 14.0%(368/2 634) and 6.6%(175/2 634), respectively. The multivariate logistic regression analysis showed that the risk of abnormal chest radiograph in dust-exposed workers increased with age(P<0.01). Mining and construction workers had higher risk of abnormal chest radiograph than manufacturers(all P<0.05). The risk of abnormal chest radiograph of dusk-exposed workers in state-owned and foreign enterprises was higher than that of workers in private enterprises(P<0.05). The risk of pulmonary dysfunction was increased with age and length of dust exposure(all P<0.05). Workers exposed to silica dust and aluminum dust had higher risks than those exposed to welding dust(all P<0.01). The risk of pulmonary dysfunction of workers in small and micro enterprises was higher than that of workers in large enterprises(all P<0.01). Mining workers had higher risks of pulmonary dysfunction than manufacturing workers(P<0.05). CONCLUSION: Age, length of dust exposure, dust type, industry type, enterprise scale and economic type were the influencing factors of lung injury of dust exposed workers. Therefore, the supervision of key population and industries should be strengthened to reduce the occurrence of pneumoconiosis.
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Abstract: A hospital-based cross-sectional study was performed, including 117 psoriatic patients and 117 controls matched for age, gender, and body mass index. Psoriatic patients had higher levels of serum uric acid (6.25 ± 1.62 vs 5.71 ± 1.35 mg/dl; P=0.019) and significantly greater prevalence of hyperuricemia (31.6% vs 16.2%; P=0.009) than individuals without psoriasis. Psoriatic patients had significantly higher serum uric acid than controls in subjects without metabolic syndrome. Multivariate logistic regression analysis showed that psoriasis can be a strong predictor of hyperuricemia (odds ratio 2.61; 95% confidence interval 1.34-5.00; P=0.004).