Longitudinal Evaluation of the Relationship Between Low Socioeconomic Status and Incidence of Chronic Obstructive Pulmonary Disease: Korean Genome and Epidemiology Study (KoGES)

Kim, Chi Young; Kim, Beong Ki; Kim, Yu Jin; Lee, Seung Heon; Kim, Young Sam; Kim, Je Hyeong

doi:10.2147/copd.s276639

Cited by 11 publications

(6 citation statements)

References 40 publications

(48 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reconstitution of healthy microbiota is an effective method for preventing or treating gastrointestinal disorders, and fecal microbiota transplantation (FMT) has been successfully applied to ameliorate diarrhea in growing calves. In a recent study on FMT in calves, Kim and colleagues [68] found that the families Christensenellaceae, Clostridiaceae, Peptostreptococcaceae, Dehalobacteriaceae and Coriobacteriaceae were more abundant in FMT cattle, thus suggesting their possible association with growth and/or fattening in growing cattle. As specifically regards milking performance in water buffalo, Butyrivibrio has been shown to be positively correlated with average milk fat yield, average milk total solid yield and standard milk yield, while Acinetobacter has been positively correlated with average protein milk yield, average milk total solid yield and standard milk yield [13].…”

Section: Discussionmentioning

confidence: 99%

Different Non-Structural Carbohydrates/Crude Proteins (NCS/CP) Ratios in Diet Shape the Gastrointestinal Microbiota of Water Buffalo

Paradiso

Borriello

Censi³

et al. 2021

Veterinary Sciences

View full text Add to dashboard Cite

The microbiota of the gastrointestinal tract (GIT) are crucial for host health and production efficiency in ruminants. Its microbial composition can be influenced by several endogenous and exogenous factors. In the beef and dairy industry, the possibility to manipulate gut microbiota by diet and management can have important health and economic implications. The aims of this study were to characterize the different GIT site microbiota in water buffalo and evaluate the influence of diet on GIT microbiota in this animal species. We characterized and compared the microbiota of the rumen, large intestine and feces of water buffaloes fed two different diets with different non-structural carbohydrates/crude proteins (NSC/CP) ratios. Our results indicated that Bacteroidetes, Firmicutes and Proteobacteria were the most abundant phyla in all the GIT sites, with significant differences in microbiota composition between body sites both within and between groups. This result was particularly evident in the large intestine, where beta diversity analysis displayed clear clustering of samples depending on the diet. Moreover, we found a difference in diet digestibility linked to microbiota modification at the GIT level conditioned by NSC/CP levels. Diet strongly influences GIT microbiota and can therefore modulate specific GIT microorganisms able to affect the health status and performance efficiency of adult animals.

show abstract

Section: Discussionmentioning

confidence: 99%

Different Non-Structural Carbohydrates/Crude Proteins (NCS/CP) Ratios in Diet Shape the Gastrointestinal Microbiota of Water Buffalo

Paradiso

Borriello

Censi³

et al. 2021

Veterinary Sciences

View full text Add to dashboard Cite

show abstract

“…These findings are supported by the reported a higher prevalence of smoking and lower FEV1 in those with a low education level, 27 and as the incidence of chronic obstructive pulmonary disease has been associated with a lower socioeconomic status. 28 In females, a low educational level has been associated with a faster decline in FEV1, which cannot be explained by smoking. 29 In our study, the females had less lung dysfunction, even though more women had the restrictive type of iPF than the obstructive type.…”

Section: Discussionmentioning

confidence: 99%

Association between viral hepatitis and metabolic syndrome in lung function impairment: A Taiwan community-based study

et al. 2022

View full text Add to dashboard Cite

Objectives Metabolic syndrome (MetS) and hepatitis C virus (HCV) are associated with a higher risk of impaired pulmonary function (iPF). This study aimed to investigate the relationships among MetS, iPF, and viral hepatitis. Methods This community-based study enrolled participants undergoing annual health check-ups in southern Taiwan between March and December 2019. We performed multivariable logistic regression analyses adjusted for demographics and characteristics to identify the factors associated with iPF. Results A total of 2337 participants completed examinations, of whom 928 (39.7%) had iPF. The participants with iPF were elderly (68.8 ± 12.8 years old) and predominately female (63%). MetS increased the risk of iPF (odds ratio (OR) 1.51, 95% confidence interval (CI) 1.27–1.81, p < 0.001). Beyond age (OR 1.03, 95% CI 1.02–1.04) and smoking (OR 1.309, 95% CI 1.004–1.705), female sex (OR 0.74, 95% CI 0.59–0.93) and high education level (OR 0.96, 95% CI 0.94–0.98, p < 0.001) protected against iPF. HCV was not significantly associated with iPF (OR 1.17, 95% CI 0.90–1.52, p = 0.235) in multivariable analysis. MetS was associated with a higher risk of iPF in the non-HBV/HCV group (OR 1.86, 95% CI 1.54–2.26) and HBV alone group (OR 3.44, 95% CI 1.89–6.28), but not in the HCV alone group (OR 1.02, 95% CI 0.64–1.62). Discussion MetS was an independent predictor of iPF, especially the restrictive type, and had different effects in the HBV/non-viral hepatitis and HCV groups. Female sex and education were inversely associated with iPF.

show abstract

“…MONO circulates in the blood, bone marrow, and spleen and are one of the active members of inflammation in COPD [ 33 ]. An increased WBC and a decreased LYM count were also identified in COPD patients compared to healthy subjects [ 34 , 35 ]. Inflammation was associated with the changes in structure, shape, and dynamics of PLT, which may further affect atherogenic and thrombotic events [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

A Nomogram for Predicting Cardiovascular Diseases in Chronic Obstructive Pulmonary Disease Patients

Zhu

2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Cardiovascular diseases (CVDs) are the most common comorbidities in the chronic obstructive pulmonary disease (COPD), which increase the risk of hospitalization, length of stay, and death in COPD patients. This study aimed to identify the predictors for CVDs in COPD patients and construct a prediction model based on these predictors. In total, 1022 COPD patients in National Health and Nutrition Examination Surveys (NHANES) were involved in the cross-sectional study. All subjects were randomly divided into the training set (n = 709) and testing set (n = 313). The differences before and after the manipulation of the missing data were compared via sensitivity analysis. Univariate and multivariable analyses were employed to screen the predictors of CVDs in COPD patients. The performance of the prediction model was evaluated via the area under the curve (AUC), accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and calibration. Subgroup analysis was performed in patients using different COPD diagnosis methods and patients smoking or not smoking in the testing set. We found that male, older age, a smoking history, overweight, a history of blood transfusion, a history of heart disease in close relatives, higher levels of white blood cell (WBC), and monocyte (MONO) were associated with the increased risk of CVDs in COPD patients. Higher levels of platelets (PLT) and lymphocyte (LYM) were associated with reduced risk of CVDs in COPD patients. A prediction model for the risk of CVDs in COPD patients was established based on predictors including gender, age, a smoking history, BMI, a history of blood transfusion, a history of heart disease in close relatives, WBC, MONO, PLT, and LYM. The AUC value of the prediction model was 0.75 (95% CI: 0.71–0.79) in the training set and 0.79 (95%CI: 0.73–0.85) in the testing set. The prediction model established showed good predictive performance in predicting CVDs in COPD patients.

show abstract

Longitudinal Evaluation of the Relationship Between Low Socioeconomic Status and Incidence of Chronic Obstructive Pulmonary Disease: Korean Genome and Epidemiology Study (KoGES)

Cited by 11 publications

References 40 publications

Different Non-Structural Carbohydrates/Crude Proteins (NCS/CP) Ratios in Diet Shape the Gastrointestinal Microbiota of Water Buffalo

Different Non-Structural Carbohydrates/Crude Proteins (NCS/CP) Ratios in Diet Shape the Gastrointestinal Microbiota of Water Buffalo

Association between viral hepatitis and metabolic syndrome in lung function impairment: A Taiwan community-based study

A Nomogram for Predicting Cardiovascular Diseases in Chronic Obstructive Pulmonary Disease Patients

Contact Info

Product

Resources

About