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1.
Chinese Journal of Epidemiology ; (12): 764-767, 2011.
Article in Chinese | WPRIM | ID: wpr-273097

ABSTRACT

Objective To estimate the intangible cost and associated factors on patients with hepatitis B-related diseases, so as to explore the differences of the three elicitation techniques on the health economics-related information by trained investigators, using a structured questionnaire. WTP was employed to estimate the intangible cost while an open-ended question format, together with iterative bidding game and payment card were respectively used to elicit WTP for the hypothetical cure of hepatitis B-related diseases. A Multiple linear stepwise regression model was determined to identify those factors potentially affecting the intangible cost. Results A total of 564 subjects from 641 patients with hepatitis B-related diseases were identified for the inclusion of this study. The average annual intangible cost of patient with hepatitis B-related diseases was 54 320.4 Yuan (Ren Minbi).The intangible cost accounted for 53.0% of the total cost, which was much more than the proportions of the direct and indirect costs (38.5% and 8.5%, respectively). Among annual personal and the household income of the patient, proportions of intangible cost were 262.6% and 67.6% respectively,suggesting that the patients were under huge spiritual and psychological pressure. Response rate of the approach, combined open-ended questions with iterative bidding game, was the highest (76.6%) among the three elicitation formats. Considered the characteristics of data being gathered, the approach seemed to be more reasonable. Further studies were needed to examine the results yielded from other WTP elicitation formats. We also noticed that the progression of disease was associated with the increase of direct and indirect costs, but not with the intangible cost. Data from the multiple linear stepwise regression analysis indicated that the types of hospital and commercial medical insurance were significantly different in explaining the variation of the intangible cost. Conclusion Measures should be taken to reduce the intangible cost of hepatitis B-related diseases. The approach regarding the combination of open-ended questions with iterative bidding game should be recommended when carrying our further WTP studies of this kind.

2.
Biomedical and Environmental Sciences ; (12): 173-179, 2010.
Article in English | WPRIM | ID: wpr-360606

ABSTRACT

<p><b>OBJECTIVE</b>To evaluate the present Chinese body mass index (BMI) criteria with body fat percentage (BF%) in determining obesity in Chinese population.</p><p><b>METHODS</b>A total of 4 907 subjects (age: 20-90 yrs) were enrolled in the baseline survey of a longitudinal epidemiological study, and 2 638 of them were reevaluated in 5.5 years later. The Chinese BMI and WHO BF% were used to define obesity, respectively.</p><p><b>RESULTS</b>The diagnostic agreement between the Chinese BMI and WHO BF% definitions for obesity was poor for both men (kappa: 0.210, 95% CI: 0.179-0.241) and women (kappa: 0.327, 95% CI: 0.296-0.358). However, BMI had a good correlation with BF% both in men (r: 0.785, P<0.01) and women (r: 0.864, P<0.01). The age and sex-adjusted relative risks (RR) for incidence of type 2 diabetes (T2DM) were significantly higher in subjects with intermediate BF% (BF%:20.1%-25% for men, 30.1%-35% for women) (RR: 2.35, 95% CI: 1.23-4.48) and high BF%(BF%>25% for men and > 35% for women)(RR: 2.89, 95% CI: 1.43-5.81), or in subjects with high BMI (BMI>or=28 kg/m(2)) (RR: 2.46, 95% CI: 1.31-4.63) when compared to those with low BF% (BF%<or=20% for men and<or=30% for women) or low BMI (BMI24 kg/m(2)) respectively. No difference in risk could be found in those with intermediate BMI (BMI: 24-27.9 kg/m(2)) (RR: 1.44, 95% CI: 0.86-2.40), as compared to those with low BMI (BMI<24 kg/m(2)), whose BF% ranged widely from 7.8 to 50.3%.</p><p><b>CONCLUSION</b>BMI was correlated with BF%. Both BMI and BF% were associated with high risk for T2DM. However, BMI had its limitations in the interpretation of subjects with BMI between 24 and 27.9 kg/m(2).</p>


Subject(s)
Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Body Mass Index , China , Obesity
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