Lin, H.J.

Liver fat content is associated with increased carotid atherosclerosis in a Chinese middle-aged and elderly population: The Shanghai Changfeng study (Article)

2012-10-01T00:00:00Z

Background: Nonalcoholic fatty liver disease is closely associated with metabolic syndrome and cardiovascular disease (CVD). We investigated whether the liver fat content (LFC) is independently associated with carotid artery intima-media thickness (CIMT) and evaluated the contribution of the LFC to the increased CIMT. Methods: We conducted a community-based study among 1809 participants (682 males and 1127 females) from the Changfeng Study who were at least 45 years old. A standard interview, anthropometrics and laboratory parameters were performed for each participant. The CIMT was determined by ultrasonography. A large CIMT value was defined as 75th percentile of the maximum CIMT. A standardised ultrasonographic hepatic-renal ratio was used to assess the LFC. Results: The median LFC value was 6% (interquartile range, 3-14%), and 34% of the subjects had hepatic steatosis based on the criteria for diagnosis of steatosis by quantitative ultrasound. The maximum CIMT, average CIMT and plaque score were strongly associated with the LFC (β = 0.319, 0.324 and 1.361, respectively; all P < 0.05) after adjustment for age, gender, smoking history, low-density lipoprotein cholesterol and metabolic syndrome. The multiple logistic regression analysis showed that a 1 SD increase in the LFC, the OR for having a large CIMT was 1.350 (95% CI 1.180-1.545; P < 0.001) after adjustment for all potential confounders. Conclusions: These results suggest that the LFC is independently associated with carotid atherosclerosis in the Chinese population, and that the risk of atherosclerosis is proportional to the degree of hepatic steatosis.

The Shanghai Changfeng Study: a community-based prospective cohort study of chronic diseases among middle-aged and elderly: objectives and design (Article)

2010-12-01T00:00:00Z

The Shanghai Changfeng Study is a community-based prospective cohort study of chronic diseases ongoing since February 2009 in Shanghai, China. The study focuses on multiple chronic diseases, including obesity and metabolic syndrome, diabetes, osteoporosis, liver diseases, cardiovascular diseases and neurologic diseases. 15,000 subjects of 40 years or over are planned to be recruited. The rationale, objectives and design of this study are described in this paper.

Health Utility Bias: A Systematic Review and Meta-Analytic Evaluation (Article)

2010-02-01T00:00:00Z

A common assertion is that rating scale (RS) values are lower than both standard gamble (SG) and time tradeoff (TTO) values. However, differences among these methods may be due to method specific bias. Although SG and TTOs suffer systematic bias, RS responses are known to depend on the range and frequency of other health states being evaluated. Over many diverse studies this effect is predicted to diminish. Thus, a systematic review and data synthesis of RS-TTO and RS-SG difference scores may better reveal persistent dissimilarities. Purpose. The purpose of this study was to establish through systematic review and meta-analysis the net effect of biases that endure over many studies of utilities. Methods. A total of 2206 RS and TTO and 1318 RS and SG respondents in 27 studies of utilities participated. MEDLINE was searched for data from 1976 to 2004, complemented by a hand search of full-length articles and conference abstracts for 9 journals known to publish utility studies, as well as review of results and additional recommendations by 5 outside experts in the field. Two investigators abstracted the articles. We contacted the investigators of the original if required information was not available. Results. No significant effect for RS and TTO difference scores was observed: effect size (95% confidence interval [CI]) = 0.04 (−0.02, 0.09). In contrast, RS scores were significantly lower than SG scores: effect size (95% CI ) =−0.23 (−0.28, −0.19). Correcting SG scores for 3 known biases (loss aversion, framing, and probability weighting) eliminated differences between RS and SG scores: effect size (95% CI ) = 0.01 (−0.03, 0.05). Systematic bias in the RS method may exist but be heretofore unknown. Bias correction formulas were applied to mean not individual utilities. Conclusions. The results of this study do not support the common view that RS values are lower than TTO values, may suggest that TTO biases largely cancel, and support the validity of formulas for correcting SG bias.

Health utility bias: A meta-analytic evaluation (Research Paper)

2007-01-01T00:00:00Z