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Although chronic obstructive pulmonary disease is a known cause of secondary polycythemia with elevated erythropoietic demands in response to hypoxemia, anemia is relatively common in patients with chronic obstructive pulmonary disease and is related to increased mortality. However, little is currently known about the relationship between various iron parameters and disease severity in chronic obstructive pulmonary disease patients.
Data from the fifth Korean National Health and Nutrition Examination Survey, a population-based epidemiologic survey conducted in 2010–2012, were used. A total of 1,129 patients with chronic obstructive pulmonary disease were examined to reveal the associations between the forced expiratory volume in 1 second (FEV1) and hemoglobin and iron parameters, including serum iron, ferritin, total iron binding capacity, and transferrin saturation, using Spearman correlations and multiple linear regression analyses.
The FEV1 was positively correlated with serum hemoglobin (γ=0.37, P<0.001), iron (γ=0.20, P<0.001), transferrin saturation (γ=0.19, P<0.001), and ferritin (γ=0.22, P<0.001), and negatively correlated with age (γ=−0.40, P<0.001) and lower in female patients (γ=−0.56, P<0.001) in the Spearman correlation. The FEV1 was independently associated with serum iron (β=0.049, P=0.035) and transferrin saturation (β=0.049, P=0.035) after adjusting for age, sex, and body mass index in the multiple linear regression analyses.
The serum iron and transferrin saturation levels were independently associated with FEV1 as a marker of chronic obstructive pulmonary disease severity.
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Recent studies suggest that neighborhood environments influence levels of health and disease in individuals. Evidence suggests that green environments have positive effects on physical and psychological health. In this study, we examined the association between public park per person (PPP) and physical activity in 7 large Korean cities with a population of over 1 million.
We obtained data from the third Korea National Health and Nutritional Survey and data on the area of PPP from the Korean national statistics office.
Physical activity and adjusted mean of physical activity increased significantly with PPP. When stratified by family income, physical activity increased significantly in all groups in a PPP-dependent manner. Physical activity significantly increased as PPP increased (coefficient, 16.025; 95% confidence interval, 12.392 to 19.658) before and after adjustment for age, sex, and family income. Physical activity increased in all income groups including the low income group.
These results show that green park spaces independently promote physical activity and influence healthy lifestyles. Therefore, the importance of PPP for physical activity and health should be emphasized in urban planning.
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This preliminary study is to assess risk factors associated with children's body mass index (BMI) and their changes over a 2-year period based on the analysis of the Obesity and Metabolic Disorders Cohort in Childhood registry.
A total of 1,504 children comprised of 474 1st graders and 1,030 4th graders were included in the study. Data on physical activity, dietary intake, and socioeconomic status were obtained through self-administered questionnaires, and height and weight were measured annually for 2 years.
In a cross-sectional analysis, BMI of 1st graders was associated with higher parental BMI (both P < 0.001) and frequent snack consumption (P = 0.049). BMI of 4th graders was additionally associated with shorter sleep duration (P = 0.001), lower household income (P = 0.016), higher fat intake (P = 0.017), and frequent meal skipping (P = 0.020). During a 2-year follow-up, BMI increased by 0.8 ± 1.4 kg/m2 in 1st graders and by 1.3 ± 1.4 kg/m2 in 4th graders. In a longitudinal analysis, higher exercise frequency (P = 0.007), shorter sleep duration (P = 0.027), lower household income (P = 0.002), and higher paternal BMI (P = 0.002, 0.043) were significant predictors of BMI changes in the 1st graders whereas only higher maternal BMI (P=0.035), and frequent snack consumption (P = 0.010) were predictors for the 4th graders BMI changes.
Our findings indicate that parental obesity, short sleep duration, low socioeconomic status, and frequent snacking are associated with BMI and BMI changes.
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