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Objective To investigate the relationship between occupational noise exposure and glycated hemoglobin (HbA1c) levels, as well as prediabetes diagnosed by HbA1c. Methods A total of 1 181 workers from a cigarette factory were selected as the research subjects using a judgment sampling method. Workers were divided into control, low-level noise exposure and high-level noise exposure groups, consisting of 236, 359, and 586 individuals, respectively. The blood sample was collected for HbA1c test and occupation noise exposure intensity in workplace was detected by an area-sampling method. Results There were no statistical significant differences in HbA1c levels and prediabetes prevalence among the three groups of workers (all P>0.05). After adjusting for potential confounding factors such as years of service, gender, smoking, pack-years of smoking, alcohol consumption, and body mass index, multiple linear regression analysis showed that the high-level noise exposure group had higher HbA1c level than the control group (P<0.05). Multivariable logistic regression analysis results showed that the high-level noise exposure group had higher risk of prediabetes compared with the control group (P<0.05). Conclusion Occupational noise exposure could be a risk factor for the increased HbA1c levels and prediabetes incidence among the occupational population. More attention should be paid to the effects of occupational noise exposure on the HbA1c level in occupational health surveillance.
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Objective To investigate the effect of lead exposure on blood pressure of lead workers. Methods A total of 665 lead workers from some lead-acid battery enterprises in Wuhan were selected as the lead exposure group, and 708 ordinary workers without lead exposure were selected as the control group. The blood pressure in the workers of both groups was measured. The blood lead concentrations were measured in the lead-exposed group. The independent samples t-test was used to compare the blood pressure between the two groups. Linear regression model was used to analyze the relationship between the blood lead concentration and the blood pressure in the lead-exposed group. Logistic regression analysis was used to analyze the relationship between the risk of hypertension and blood lead concentration in lead-exposed group. Results The mean values of systolic blood pressure, diastolic blood pressure and pulse in the lead exposure group were significantly higher than those in the control group, and the difference was statistically significant (P0.05). Linear regression analysis revealed that blood lead concentrations were significantly correlated with both systolic and diastolic blood pressure in the lead exposure group. For each increase of 1μg/L of blood lead concentration in the lead exposure group, the systolic blood pressure of lead workers increased by 0.011 mmHg, and the diastolic blood pressure increased by 0.007 mmHg. Logistic regression analysis found that men in the lead-exposed group had a higher risk of hypertension than women. The older the age and the higher the blood lead concentration, the higher the risk of development of hypertension. Conclusion There is a positive correlation between the blood lead concentration and the systolic and diastolic blood pressure in lead workers. The older the lead worker, the higher the risk of developing high blood pressure. The higher the lead concentration in lead workers, the higher the risk of developing high blood pressure.
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Objective:To investigate the intention to participate in health care in transitional children and adolescents with diabetes and analyze its influencing factors.Methods:This was a cross-sectional survey study. From March to October 2021, 185 children and adolescents with diabetes were selected as research subjects by convenience sampling method from People′s Hospital Affiliated to Jiangsu University. General data questionnaire, Participation in Health Care Intention Questionnaire, Health Literacy Scale and Diabetes Self-management Scale were used to investigate, and multiple linear regression was used to analyze the influencing factors of the population′s intention to participate in health care.Results:The transitional children and adolescents with diabetes participation in health care intention total score was (124.87 ± 16.31) points, the health literacy total score was (33.70 ± 4.38) points, diabetes self-management total score was (35.11 ± 5.19) points. The regression analysis found that age, course of the disease, diabetes type, family structure modes, health literacy, and self-management ability were the main factors influencing adolescents involved in health care intention ( t values were -1.99-2.66, all P<0.05), including health literacy ability and disease management ability was positively correlated with the disease ( r = 0.250, 0.232, both P<0.01). Conclusions:The transitional children and adolenscents with diabetes have a medium level of intention to participate in health care. The transitional children and adolenscents with older age, longer disease course and nuclear family structure had higher levels of health care intention. The higher the level of health literacy and self-management, the higher the level of intention to participate in health care, medical staff should take targeted measures to improve the intention to participate in health care, promote this group to improve disease management ability and quality of life.