Background: Workers’ health condition is an important issue. It affects not only the well-being of workers but also the firms and society as a whole through medical costs and productivity losses due to absenteeism an...Background: Workers’ health condition is an important issue. It affects not only the well-being of workers but also the firms and society as a whole through medical costs and productivity losses due to absenteeism and presenteeism. Data and Methods: Data were obtained from 1136 employees at an operational site of a large corporation. The dataset contained both medical checkups and working record information. Health factors affecting long-term absence (over three days in three months) were analyzed. Logistic regression models and the procedure for selecting proper covariates based on likelihood test statistics and the Akaike information criterion were used. Results: Among health factors, high-density lipoprotein cholesterol (HDL-C) and blood sugar levels were important in the selected model. For HDL-C, the odds ratio (OR) based on one standard deviation difference was 0.75 with a 95% confidence interval (CI) of 0.59 - 0.95. For blood sugar, the OR was 1.20 with a 95% CI of 1.01 - 1.42. Improving HDL-C and blood sugar levels would reduce long-term absence by 25% and 20%, respectively. Conclusion: Controlling HDL-C and blood sugar levels is important to reduce long-term absenteeism. These factors can be improved by modifying eating habits. Since the operational site has its own company cafeterias, which most employees use, nutritional intervention is relatively easy with little or no cost. It may be worthwhile to implement nutritional intervention, especially for patients with low HDL-C or high blood sugar levels. Limitations: The results of this study were based on one operational site of a corporation. The employees were mainly operators working inside the building. The results may be different from other types of jobs and working conditions, such as fieldwork. Analyses of different types of jobs and working conditions are necessary.展开更多
Lipoproteins are protein-lipid macromolecular assemblies which are used to transport lipids in circulation and are key targets in cardiovascular disease （CVD）. The highly dynamic lipoprotein molecules are capable of...Lipoproteins are protein-lipid macromolecular assemblies which are used to transport lipids in circulation and are key targets in cardiovascular disease （CVD）. The highly dynamic lipoprotein molecules are capable of adopting an array of conformations that is crucial to lipid transport along the cholesterol transport pathway, among which high-density lipopro- tein （HDL） and low-density lipoprotein （LDL） are major players in plasma cholesterol metabolism. For a more detailed illustration of cholesterol transport process, as well as the development of therapies to prevent CVD, here we review the functional mechanism and structural basis of lipoproteins in cholesterol transport, as well as their structural dynamics in the plasma lipoprotein （HDL and LDL） elevations, in order to obtain better quantitative understandings on structure-function relationship of lipoproteins. Finally, we also provide an approach for further research on the lipoprotein in cholesterol transport.展开更多
Background: The relationship between serum lipid profile levels and cancer risk remained uncertain. Recently, it had been reported a significant inverse association between high-density lipoprotein cholesterol (HDL) a...Background: The relationship between serum lipid profile levels and cancer risk remained uncertain. Recently, it had been reported a significant inverse association between high-density lipoprotein cholesterol (HDL) and the risk of incident cancer that was independent of low-density lipoprotein cholesterol (LDL), age or sex. Objective: The aim of our study was to evaluate the behavior of HDL in cancer patients and in healthy population. Methods: We created a retrospectively search strategy in the laboratory information system (LIS). We filtered and searched those patients with CEA within 5 - 20 ng/ml and any value of HDL and corroborated the presence of cancer (Group 1 (G1)) or not (Group 2 (G2)). Moreover, we searched a control group (patients in outpatient oncology clinic) to observe the values of HDL. Comparisons and statistical logistic regression models were applied to link the levels of this biomarkers and cancer risk. Results: We examined 852 valid patients, median age 62 (50 - 73) years. Within the search strategy group, G2 showed highest levels of HDL (54 (43 - 67) mg/dl) and lowest CEA levels (6.7 (5.7 - 8.4) ng/ml) comparing with G1: HDL (47 (37 - 60) mg/dl) and the CEA (7.9 (6.2 - 10.9) ng/ml);p p r2: 0.092;p p = 0.001)] and CEA [OR: 1.115 (1.060 - 1.174), (p < 0.001)] and they were confirmed as independent predictors of cancer. Conclusion: Our findings confirmed the inverse association of HDL levels between healthy populations and were diagnosed with cancer. Moreover, in a random population, patients with cancer presented lower HDL values compared to those without cancer. Therefore, it could demonstrate the possible positive predictive value of low HDL related to cancer risk.展开更多
文摘Background: Workers’ health condition is an important issue. It affects not only the well-being of workers but also the firms and society as a whole through medical costs and productivity losses due to absenteeism and presenteeism. Data and Methods: Data were obtained from 1136 employees at an operational site of a large corporation. The dataset contained both medical checkups and working record information. Health factors affecting long-term absence (over three days in three months) were analyzed. Logistic regression models and the procedure for selecting proper covariates based on likelihood test statistics and the Akaike information criterion were used. Results: Among health factors, high-density lipoprotein cholesterol (HDL-C) and blood sugar levels were important in the selected model. For HDL-C, the odds ratio (OR) based on one standard deviation difference was 0.75 with a 95% confidence interval (CI) of 0.59 - 0.95. For blood sugar, the OR was 1.20 with a 95% CI of 1.01 - 1.42. Improving HDL-C and blood sugar levels would reduce long-term absence by 25% and 20%, respectively. Conclusion: Controlling HDL-C and blood sugar levels is important to reduce long-term absenteeism. These factors can be improved by modifying eating habits. Since the operational site has its own company cafeterias, which most employees use, nutritional intervention is relatively easy with little or no cost. It may be worthwhile to implement nutritional intervention, especially for patients with low HDL-C or high blood sugar levels. Limitations: The results of this study were based on one operational site of a corporation. The employees were mainly operators working inside the building. The results may be different from other types of jobs and working conditions, such as fieldwork. Analyses of different types of jobs and working conditions are necessary.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11504287 and 11774279)
文摘Lipoproteins are protein-lipid macromolecular assemblies which are used to transport lipids in circulation and are key targets in cardiovascular disease （CVD）. The highly dynamic lipoprotein molecules are capable of adopting an array of conformations that is crucial to lipid transport along the cholesterol transport pathway, among which high-density lipopro- tein （HDL） and low-density lipoprotein （LDL） are major players in plasma cholesterol metabolism. For a more detailed illustration of cholesterol transport process, as well as the development of therapies to prevent CVD, here we review the functional mechanism and structural basis of lipoproteins in cholesterol transport, as well as their structural dynamics in the plasma lipoprotein （HDL and LDL） elevations, in order to obtain better quantitative understandings on structure-function relationship of lipoproteins. Finally, we also provide an approach for further research on the lipoprotein in cholesterol transport.
文摘Background: The relationship between serum lipid profile levels and cancer risk remained uncertain. Recently, it had been reported a significant inverse association between high-density lipoprotein cholesterol (HDL) and the risk of incident cancer that was independent of low-density lipoprotein cholesterol (LDL), age or sex. Objective: The aim of our study was to evaluate the behavior of HDL in cancer patients and in healthy population. Methods: We created a retrospectively search strategy in the laboratory information system (LIS). We filtered and searched those patients with CEA within 5 - 20 ng/ml and any value of HDL and corroborated the presence of cancer (Group 1 (G1)) or not (Group 2 (G2)). Moreover, we searched a control group (patients in outpatient oncology clinic) to observe the values of HDL. Comparisons and statistical logistic regression models were applied to link the levels of this biomarkers and cancer risk. Results: We examined 852 valid patients, median age 62 (50 - 73) years. Within the search strategy group, G2 showed highest levels of HDL (54 (43 - 67) mg/dl) and lowest CEA levels (6.7 (5.7 - 8.4) ng/ml) comparing with G1: HDL (47 (37 - 60) mg/dl) and the CEA (7.9 (6.2 - 10.9) ng/ml);p p r2: 0.092;p p = 0.001)] and CEA [OR: 1.115 (1.060 - 1.174), (p < 0.001)] and they were confirmed as independent predictors of cancer. Conclusion: Our findings confirmed the inverse association of HDL levels between healthy populations and were diagnosed with cancer. Moreover, in a random population, patients with cancer presented lower HDL values compared to those without cancer. Therefore, it could demonstrate the possible positive predictive value of low HDL related to cancer risk.
