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1.
Diabet Med ; 35(10): 1345-1354, 2018 10.
Article in English | MEDLINE | ID: mdl-29851428

ABSTRACT

AIM: To examine the effects of diabetes, low income and their combination on mortality in the Korean population. METHODS: We analysed a total of 505 677 people (53.9% male) aged 40-79 years old from the National Health Insurance Service-National Health Screening (NHIS-HEALS) cohort. Ten levels of household income were used as indicators of economic status. Diabetes was defined as elevated fasting blood glucose (≥ 6.9 mmol/l) and/or use of glucose-lowering drugs or insulin. Covariates of age, sex, BMI, smoking and Charlson Comorbidity Index were determined at baseline. Outcomes were total and cause-specific mortality over 12 years. Cox's proportional hazard regression models were used to estimate hazard ratios (HRs) for mortality according to the presence of diabetes, household income and their combination. RESULTS: Lower household income was associated with higher mortality from all causes, cardiovascular disease, cancer and non-cancer non-cardiovascular causes. Excessive mortality due to low incomes was observed in both people with and without diabetes. In men, the adjusted HR [95% confidence interval (CI)] of mortality was 1.38 (1.34 to 1.42) for low-income only, 1.48 (1.42 to 1.55) for diabetes only and 1.95 (1.86 to 2.05) for diabetes and low-income combined, relative to the normal glucose and high income group. Corresponding HR (95% CI) in women were 1.19 (1.14 to 1.24), 1.54 (1.44 to 1.64) and 1.87 (1.75 to 2.01), respectively. CONCLUSION: Both low household income and the presence of diabetes independently increase the risk of mortality, but their combined effects on mortality may be different between men and women.


Subject(s)
Diabetes Mellitus/economics , Diabetes Mellitus/mortality , Income/statistics & numerical data , Adult , Cardiovascular Diseases/economics , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/mortality , Diabetes Mellitus/epidemiology , Diabetic Angiopathies/economics , Diabetic Angiopathies/epidemiology , Diabetic Angiopathies/mortality , Female , Follow-Up Studies , Humans , Male , Middle Aged , Mortality , Republic of Korea/epidemiology , Risk Factors , Socioeconomic Factors
2.
Comput Biol Med ; 97: 74-82, 2018 06 01.
Article in English | MEDLINE | ID: mdl-29709716

ABSTRACT

In this study, we propose a modification to a single-grid phase-contrast x-ray imaging (PCXI) system using a Fourier domain analysis technique to extract absorption, scattering, and differential phase-contrast images. The proposed modification is to rotate the x-ray grid in the image plane to achieve spectral separation between the desired information and the moiré artifact, which is introduced by the superposition of the periodic image of the grid shadow and the periodic sampling by the detector. In addition, we performed some system optimization by adjusting distances between source, object, grid, and detector to further improve image quality. This optimization aimed to increase the spectral spacing between the primary spectrum (lower frequency) and the harmonics of the spectrum (higher frequency) used to extract the various image contrasts. The table-top setup used in the experiment consisted of a focused-linear grid with a 200-lines/inch strip density, a microfocus x-ray tube with a 55-µm focal spot size, and a CMOS flat-panel detector with a 49.5-µm pixel size. The x-ray grid was rotated at 27.8° with respect to the detector and the sample was placed as close as possible to the x-ray tube. Our results indicated that the proposed method effectively eliminated the PCXI artifacts, thus improving image quality.


Subject(s)
Artifacts , Fourier Analysis , Radiographic Image Enhancement/methods , Animals , Equipment Design , Fishes , Models, Biological
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