Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Early-onset colorectal cancer (EOCRC) shows a different epidemiological trend compared to later-onset colorectal cancer, with its incidence rising in most regions and countries worldwide. However, the reasons behind this trend remain unclear. The etiology of EOCRC is complex and could involve both genetic and environmental factors. Apart from Lynch syndrome and Familial Adenomatous Polyposis, sporadic EOCRC exhibits a broad spectrum of pathogenic germline mutations, genetic polymorphisms, methylation changes, and chromosomal instability. Early-life exposures and environmental risk factors, including lifestyle and dietary risk factors, have been found to be associated with EOCRC risk. Meanwhile, specific chronic diseases, such as inflammatory bowel disease, diabetes, and metabolic syndrome, have been associated with EOCRC. Interactions between genetic and environmental risk factors in EOCRC have also been explored. Here we present findings from a narrative review of epidemiological studies on the assessment of early-life exposures, of EOCRC-specific environmental factors, and their interactions with susceptible loci. We also present results from EOCRC-specific genome-wide association studies that could be used to perform Mendelian randomization analyses to ascertain potential causal links between environmental factors and EOCRC.
Humans ; Colorectal Neoplasms/etiology* ; Risk Factors ; Genome-Wide Association Study ; Genetic Predisposition to Disease/genetics*

Investigating the correlation between micronucleus formation and male infertility has the potential to improve clinical diagnosis and deepen our understanding of pathological progression. Our study enrolled 2252 male patients whose semen was analyzed from March 2023 to July 2023. Their clinical data, including semen parameters and age, were also collected. Genetic analysis was used to determine whether the sex chromosome involved in male infertility was abnormal (including the increase, deletion, and translocation of the X and Y chromosomes), and subsequent semen analysis was conducted for clinical grouping purposes. The participants were categorized into five groups: normozoospermia, asthenozoospermia, oligozoospermia, oligoasthenozoospermia, and azoospermia. Patients were randomly selected for further study; 41 patients with normozoospermia were included in the control group and 117 patients with non-normozoospermia were included in the study group according to the proportions of all enrolled patients. Cytokinesis-block micronucleus (CBMN) screening was conducted through peripheral blood. Statistical analysis was used to determine the differences in micronuclei (MNi) among the groups and the relationships between MNi and clinical data. There was a significant increase in MNi in infertile men, including those with azoospermia, compared with normozoospermic patients, but there was no significant difference between the genetic and nongenetic groups in azoospermic men. The presence of MNi was associated with sperm concentration, progressive sperm motility, immotile spermatozoa, malformed spermatozoa, total sperm count, and total sperm motility. This study underscores the potential utility of MNi as a diagnostic tool and highlights the need for further research to elucidate the underlying mechanisms of male infertility.
Humans ; Male ; Infertility, Male/genetics* ; Adult ; Micronucleus Tests ; Semen Analysis ; Oligospermia/genetics* ; Azoospermia/genetics* ; Chromosome Aberrations ; Sperm Count ; Micronuclei, Chromosome-Defective ; Middle Aged

OBJECTIVES: To explore the status and risk factors of neuropsychological development in small for gestational age (SGA) infants at corrected 12-24 months of age. METHODS: Clinical data were retrospectively collected for 754 SGA infants at corrected ages 12-24 months in Shenzhen Bao'an Women and Children's Hospital between April 2018 and December 2023. Developmental quotient (DQ) levels were analyzed. According to the presence of global developmental delay (GDD), participants were divided into a GDD group (71 cases) and a control group (683 cases), and the incidence and influencing factors of GDD were investigated. RESULTS: In the high-risk preterm SGA group, the total DQ and DQ in all domains were lower than in the full-term SGA group (P<0.017). The overall incidence of GDD was 9.4% (71/754) and increased with decreasing gestational age (P<0.017). Compared with the control group, the GDD group had higher proportions of males; low-risk and high-risk preterm birth; mothers with less than a bachelor's degree; multiple birth; neonatal hypoglycemia; neonatal pneumonia; neonatal respiratory distress syndrome; bronchopulmonary dysplasia; and, at corrected 12-24 months, low body weight, growth retardation, and microcephaly. The length of neonatal hospital stay was longer in the GDD group than in the control group (P<0.05). The weight-for-age Z score, length-for-age Z score, and head circumference-for-age Z score at birth and at corrected 12-24 months were lower in the GDD group than in the control group (P<0.05). Multivariable logistic regression showed that male sex and maternal education below a bachelor's degree were independent risk factors for GDD in SGA infants (P<0.05). CONCLUSIONS Neuropsychological development in preterm SGA infants is comparatively delayed; male SGA infants born to mothers with less than a bachelor's degree should receive priority attention.
Humans ; Female ; Male ; Infant, Small for Gestational Age/psychology* ; Risk Factors ; Infant ; Retrospective Studies ; Child Development ; Developmental Disabilities/epidemiology* ; Infant, Newborn ; Child, Preschool

The incidence and mortality rates of early-onset colorectal cancer (EOCRC) among people under 50 years old are showing an upward trend. Although traditional epidemiological studies have conducted relatively deep research and screened out environmental factors related to EOCRC, our understanding of the causes, mechanisms, and treatment of this disease is still far from sufficient. In this review, we clarify the current progress of EOCRC, with a particular focus on epidemiology, screening status, clinical symptoms, and prognosis. This provides new evidence for secondary prevention, including precision screening, and offers new ideas for improving the diagnosis and treatment of EOCRC.

Objective:To explore the differences in distribution of colorectal cancer-related risk factors between patients with early-onset colorectal cancer (EOCRC) and those with late-onset colorectal cancer (LOCRC) in a Chinese cohort, and to provide reference and guidance for the prevention, diagnosis, and treatment of EOCRC.Methods:Using data from the National Colorectal Cancer Cohort study cohort, 5377 patients with newly diagnosed colorectal cancer (CRC) attending the Department of Colorectal Surgery and Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine from June 2018 to February 2023 were included in the study cohort. Questionnaires capturing epidemiological features, including lifestyle and dietary habits, were administered. The patients were divided into two groups, the cut-off age being 50 years. Those aged ≥50 years were defined as having LOCRC and those aged <50 years as having EOCRC. Wilcoxon (continuous variates) or χ 2 tests (categorical variates) were performed to compare differences in epidemiological features. Results:A total of 3799 people who had completed the questionnaire were included in this study, 491 of whom had EOCRC and 3308 LOCRC. The response rate to the questionnaire was 70.7%. The median ages of patients in the EOCRC and LOCRC groups were 43 and 66 years, respectively. There was a higher proportion of female patients (48.5% [253/491] vs. 35.8% [1184/3308], χ 2=28.8, P<0.001) in the EOCRC than the LOCRC group. Patients with EOCRC and lower body mass index (medium 22.1 kg/m 2 vs. 22.9 kg/m 2, W=744 793, P=0.005) and lower proportion of abdominal obesity (87.2% [428/491] vs. 93.8% [3103/3308], χ 2=38.3, P<0.001). Patients with EORC significantly less commonly reported a history of hypertension (5.9% [29/491] vs. 41.6% [1375/3308], χ 2=231.8, P<0.001), diabetes (1.4% [7/491] vs. 14.4% [476/3308], χ 2=63.6, P<0.001) and cardiovascular and cerebrovascular diseases (0.8% [4/491] vs. 7.3% [241/3308], χ 2=28.6, P<0.001). However, the proportion of patients with a family history of CRC was significantly higher ( P<0.05) in the EOCRC group (10.2% [50/491] vs. 6.9% [227/3 308], χ 2=6.5, P=0.010]. In terms of lifestyle, patients with EOCRC had shorter sleep duration (median: 8.0 hours vs. 8.5 hours, W=578 989, P<0.001), and were less likely to participate in physical exercise (29.5% [145/491] vs. 38.7% [1281/3308] χ 2=15.0, P<0.001) or engage in physical work (65.2% [320/491] vs. 74.1% [2450/3308], χ 2=16.7, P<0.001). Meanwhile, in the EOCRC group a lower percentage of patients were smokers (29.3% [144/491] vs. 42.7% [1411/3308], χ 2=46.9, P<0.001) and they smoked less (median 17.6 pack/year vs. 30.0 pack/year,W=55 850, P<0.001). Fewer patients in the EOCRC group habitually drank alcohol (21.0% [103/491] vs. 38.0% [1257/3308], χ 2=57.5, P<0.001) or tea (17.5% [86/491] vs. 28.7% [948/3308], χ 2=26.2, P<0.001) than in the LOCRC group. Compared with the LOCRC group, patients with EOCRC had a higher frequency of intake of fresh meat, fresh fruit, eggs, and dairy products and a lower frequency of intake of preserved meat and pickled vegetables; these differences are statistically significant (all P<0.05). There was no statistically significant difference in consumption of fresh vegetables or a high-sugar diet between the two groups (both P>0.05). Conclusions:This study highlights disparities in adverse lifestyle and dietary habits between patients in China with EOCRC versus LOCRC.

The incidence and mortality rates of early-onset colorectal cancer (EOCRC) among people under 50 years old are showing an upward trend. Although traditional epidemiological studies have conducted relatively deep research and screened out environmental factors related to EOCRC, our understanding of the causes, mechanisms, and treatment of this disease is still far from sufficient. In this review, we clarify the current progress of EOCRC, with a particular focus on epidemiology, screening status, clinical symptoms, and prognosis. This provides new evidence for secondary prevention, including precision screening, and offers new ideas for improving the diagnosis and treatment of EOCRC.

Objective:To explore the differences in distribution of colorectal cancer-related risk factors between patients with early-onset colorectal cancer (EOCRC) and those with late-onset colorectal cancer (LOCRC) in a Chinese cohort, and to provide reference and guidance for the prevention, diagnosis, and treatment of EOCRC.Methods:Using data from the National Colorectal Cancer Cohort study cohort, 5377 patients with newly diagnosed colorectal cancer (CRC) attending the Department of Colorectal Surgery and Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine from June 2018 to February 2023 were included in the study cohort. Questionnaires capturing epidemiological features, including lifestyle and dietary habits, were administered. The patients were divided into two groups, the cut-off age being 50 years. Those aged ≥50 years were defined as having LOCRC and those aged <50 years as having EOCRC. Wilcoxon (continuous variates) or χ 2 tests (categorical variates) were performed to compare differences in epidemiological features. Results:A total of 3799 people who had completed the questionnaire were included in this study, 491 of whom had EOCRC and 3308 LOCRC. The response rate to the questionnaire was 70.7%. The median ages of patients in the EOCRC and LOCRC groups were 43 and 66 years, respectively. There was a higher proportion of female patients (48.5% [253/491] vs. 35.8% [1184/3308], χ 2=28.8, P<0.001) in the EOCRC than the LOCRC group. Patients with EOCRC and lower body mass index (medium 22.1 kg/m 2 vs. 22.9 kg/m 2, W=744 793, P=0.005) and lower proportion of abdominal obesity (87.2% [428/491] vs. 93.8% [3103/3308], χ 2=38.3, P<0.001). Patients with EORC significantly less commonly reported a history of hypertension (5.9% [29/491] vs. 41.6% [1375/3308], χ 2=231.8, P<0.001), diabetes (1.4% [7/491] vs. 14.4% [476/3308], χ 2=63.6, P<0.001) and cardiovascular and cerebrovascular diseases (0.8% [4/491] vs. 7.3% [241/3308], χ 2=28.6, P<0.001). However, the proportion of patients with a family history of CRC was significantly higher ( P<0.05) in the EOCRC group (10.2% [50/491] vs. 6.9% [227/3 308], χ 2=6.5, P=0.010]. In terms of lifestyle, patients with EOCRC had shorter sleep duration (median: 8.0 hours vs. 8.5 hours, W=578 989, P<0.001), and were less likely to participate in physical exercise (29.5% [145/491] vs. 38.7% [1281/3308] χ 2=15.0, P<0.001) or engage in physical work (65.2% [320/491] vs. 74.1% [2450/3308], χ 2=16.7, P<0.001). Meanwhile, in the EOCRC group a lower percentage of patients were smokers (29.3% [144/491] vs. 42.7% [1411/3308], χ 2=46.9, P<0.001) and they smoked less (median 17.6 pack/year vs. 30.0 pack/year,W=55 850, P<0.001). Fewer patients in the EOCRC group habitually drank alcohol (21.0% [103/491] vs. 38.0% [1257/3308], χ 2=57.5, P<0.001) or tea (17.5% [86/491] vs. 28.7% [948/3308], χ 2=26.2, P<0.001) than in the LOCRC group. Compared with the LOCRC group, patients with EOCRC had a higher frequency of intake of fresh meat, fresh fruit, eggs, and dairy products and a lower frequency of intake of preserved meat and pickled vegetables; these differences are statistically significant (all P<0.05). There was no statistically significant difference in consumption of fresh vegetables or a high-sugar diet between the two groups (both P>0.05). Conclusions:This study highlights disparities in adverse lifestyle and dietary habits between patients in China with EOCRC versus LOCRC.

Objective:To explore the effects of curcumin on the biological characteristics and expressions of NF-κB pathway-related proteins in glucocorticoid-resistant acute lymphoblastic leukemia (ALL) cell line Jurkat.Methods:The drug-resistant ALL cell line Jurkat was selected, and 1 μmol/L dexamethasone was used as the optimal concentration for drug resistance of Jurkat cells, and the cells were passaged and cultured. The cells were divided into 10, 25 and 50 μmol/L curcumin groups, as well as 50 μmol/L pyrrolidinedithiocarbamate (PDTC) group, and control group (equal volume of culture medium without drug was added). The cells in each group were cultured for 72 h, and the cell morphology was observed under an inverted microscope. The CCK-8 method was used to detect the proliferation ability of Jurkat cells, flow cytometry was used to detect the apoptosis ability and cell cycle of Jurkat cells, real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the relative expressions of NF-κB p65, NF-κB p50, IκBα, and A20 mRNA, and Western blotting was used to detect the expressions of NF-κB p65, NF-κB p50, IκBα, caspase-8, caspase-3, bcl-2, and A20 proteins.Results:Jurkat cells were treated with 10, 25, 50 μmol/L curcumin and 50 μmol/L PDTC for 72 h. In the control group, the cell membranes were basically intact, the size was uniform, the cell was round and transparent, and the cell nucleus had uniform fluorescence; a large number of deformed cells and cell fragments were observed in curcumin groups with different concentrations and 50 μmol/L PDTC group, with concentrated and fragmented nuclei and obvious apoptosis. After treating Jurkat cells with different concentrations of curcumin and 50 μmol/L PDTC for 24, 48 and 72 h, respectively, the cell proliferation inhibition rates in curcumin groups with different concentrations and PDTC group were higher than those in the control group (all P < 0.01). The apoptosis rates at 72 h in the control group, 10 μmol/L curcumin group, 25 μmol/L curcumin group, 50 μmol/L curcumin group, and 50 μmol/L PDTC group were (4.9±0.1)%, (99.2±0.1)%, (99.9±0)%, (100.0±0)%, and (100.0±0)%, respectively, and the difference was statistically significant ( F = 2 876 604.40, P < 0.001); compared with the control group, the apoptosis rates in curcumin groups with different concentrations and 50 μmol/L PDTC group were higher, and the differences were statistically significant (all P < 0.01). Compared with the control group, the proportions of S-phase and G 2-phase cells were lower and the proportion of G 1-phase cells was higher in curcumin groups with different concentrations and 50 μmol/L PDTC group at 72 h, and the differences were statistically significant (all P < 0.01). Compared with the control group, the protein and mRNA expressions of NF-κB p65 and NF-κB p50 in curcumin groups with different concentrations and 50 μmol/L PDTC group were lower (all P < 0.01), while the protein expressions of IκBα, caspase-8 and caspase-3 were higher (all P < 0.01), the protein expression of bcl-2 was lower ( P < 0.01), and the protein and mRNA expressions of A20 were higher (both P < 0.01). Conclusions:Curcumin can effectively reverse glucocorticoid resistance and promote apoptosis in Jurkat cells, which may be related to the influence of curcumin on NF-κB pathway-related proteins.