Objective To investigate the detection rate of non-alcoholic fatty liver disease (NAFLD) and influencing factors in the elderly population undergoing physical examination in Nanjing. Methods People who participated in the elderly physical examination in Nanjing from 2018 to 2023 were selected as the study subjects according to the inclusion and exclusion criteria. Basic information and physical examination results were collected. The t-test and Chi-square test were used to compare the detection status of NAFLD in different characteristic populations, and multivariate logistic regression model was used to analyze influencing factors of NAFLD. Results A total of 41 066 people were included in the study, with a detection rate of 39.55%. The detection rate in males (24.12%) was significantly lower than that in females (49.75%) (χ² = 2702.442, P<0.001). Trend χ² test results showed that the detection rate of NAFLD increased gradually with BMI (χ²_trend = 4084.414, P_trend < 0.001). Multivariate logistic regression analysis showed that female (OR = 3.055, 95% CI : 2.911-3.206), primary school or below (OR = 1.075, 95% CI : 1.009-1.146), unmarried (OR = 1.107, 95% CI : 1.039-1.179), BMI (18.5kg/m²-23.9 kg/m²: OR = 4.876, 95% CI :3.340-7.119; 24.0 kg/m²-27.9 kg/m²: OR = 15.324, 95% CI : 10.503-22.358; ≥28.0 kg/m²: OR = 37.433, 95% CI : 25.591-54.753), hypertension (OR = 1.095, 95% CI : 1.040-1.153), diabetes mellitus (OR = 1.317, 95% CI :1.250-1.387), and dyslipidemia (OR = 1.574, 95% CI : 1.501-1.652) were risk factors for NAFLD (all P<0.05). Conclusion The detection rate of NAFLD in the elderly population undergoing physical examinations in Nanjing is relatively high. Women, unmarried people, people with low education, overweight and obesity, and people with hypertension, diabetes, and dyslipidemia are the high-risk groups.

BACKGROUND: It is inaccurate to reflect the level of dust exposure through working years. Furthermore, identifying a predictive indicator for lung function decline is significant for coal miners. The study aimed to explored whether club cell secretory protein (CC16) levels can reflect early lung function changes. METHODS: The cumulative respiratory dust exposure (CDE) levels of 1,461 coal miners were retrospectively assessed by constructed a job-exposure matrix to replace working years. Important factors affecting lung function and CC16 were selected by establishing random forest models. Subsequently, the potential of CC16 to reflect lung injury was explored from multiple perspectives. First, restricted cubic spline (RCS) models were used to compare the trends of changes in lung function indicators and plasma CC16 levels after dust exposure. Then mediating analysis was performed to investigate the role of CC16 in the association between dust exposure and lung function decline. Finally, the association between baseline CC16 levels and follow-up lung function was explored. RESULTS: The median CDE were 35.13 mg/m³-years. RCS models revealed a rapid decline in forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), and their percentages of predicted values when CDE exceeded 25 mg/m³-years. The dust exposure level (<5 mg/m³-years) causing significant changes in CC16 was much lower than the level (25 mg/m³-years) that caused changes in lung function indicators. CC16 mediated 11.1% to 26.0% of dust-related lung function decline. Additionally, workers with low baseline CC16 levels experienced greater reductions in lung function in the future. CONCLUSIONS CC16 levels are more sensitive than lung indicators in reflecting early lung function injury and plays mediating role in lung function decline induced by dust exposure. Low baseline CC16 levels predict poor future lung function.
Uteroglobin/blood* ; Humans ; Dust/analysis* ; Occupational Exposure/analysis* ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Lung Injury/chemically induced* ; Coal Mining ; Biomarkers/blood* ; China/epidemiology* ; Air Pollutants, Occupational ; Female

Objective:To explore the correlation between fasting plasma glucose (FPG) trajectory and new-onset chronic kidney disease (CKD) in elderly population (≥65 years old) in Nanjing.Methods:The study cohort was composed of 14 763 subjects who met the inclusion criteria in the population in elderly health examination in Nanjing. Based on the FPG levels detected in health examination from 2018 to 2021 (logarithm was used for normal distribution), three different FPG trajectory groups were determined using the SAS Proc Traj program, i.e. low-stable group, medium-stable group, and high-stable group. The incidence of CKD in 2022 was analyzed, and log-rank test was performed to compare the differences of cumulative incidence of new-onset CKD among different trajectory groups. Cox proportional hazards regression model was used to analyze the correlation between different FPG trajectories and new-onset CKD.Results:The mean follow-up time was (416.09±81.96) days. The follow-up time of the 500 th day was selected to analyze the cumulative incidence rate of CKD in different FPG trajectory groups, and the cumulative incidence rate of CKD in the low-stable group, the medium-stable group, and the high-stable group of FPG increased with elevated trajectory, which was 15.3%, 21.8%, and 29.3%, respectively (log-rank test χ2=151.16, P<0.001). Cox proportional hazards regression model analysis showed that compared with the low-stable group, the medium-stable group and the high-stable group were all at risk for new-onset CKD. After adjusting for multiple confounding factors, the analysis by Cox proportional hazards regression model 4 indicated that the risk for CKD in medium-stable and high-stable groups were still 1.676 (95% CI: 1.462-1.921) times and 2.007 (95% CI: 1.562-2.579) times higher than that in low-stable group. Conclusions:Elevated FPG change trajectory level is a risk factor for new-onset CKD, and persistently high level of FPG increase the risk for CKD. FPG should be monitored in elderly population by follow up, and individualized prevention and control measures for CKD should be developed for different trajectory groups.