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https://doi.org/10.1186/s12902-017-0159-5
DC Field | Value | |
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dc.title | High-sensitive C-reactive protein and risk of incident type 2 diabetes: A case-control study nested within the Singapore Chinese Health Study | |
dc.contributor.author | Pan, A | |
dc.contributor.author | Wang, Y | |
dc.contributor.author | Yuan, J.-M | |
dc.contributor.author | Koh, W.-P | |
dc.date.accessioned | 2020-09-01T08:00:21Z | |
dc.date.available | 2020-09-01T08:00:21Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Pan, A, Wang, Y, Yuan, J.-M, Koh, W.-P (2017). High-sensitive C-reactive protein and risk of incident type 2 diabetes: A case-control study nested within the Singapore Chinese Health Study. BMC Endocrine Disorders 17 (1) : 8. ScholarBank@NUS Repository. https://doi.org/10.1186/s12902-017-0159-5 | |
dc.identifier.issn | 14726823 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/173865 | |
dc.description.abstract | Background: The liver-derived C-reactive protein (CRP) is a sensitive and systemic biomarker of inflammation, and has been associated with increased risk of developing type 2 diabetes in populations other than Chinese. Therefore, we prospectively examined the relation between plasma levels of CRP and risk of type 2 diabetes (T2D) among a Chinese population. Methods: Plasma high-sensitive CRP (hs-CRP) concentrations were assayed among 571 T2D cases and 571 controls nested in the prospective cohort of the Singapore Chinese Health Study. Both cases and controls were free of physician-diagnosed diabetes, cardiovascular disease and cancer at blood collections (1999-2004). Incident physician-diagnosed T2D cases were self-reported during the follow-up visits (2006-2010), and controls were matched for age (±3 years) and date (±6 months) of blood collection and gender. Multivariable logistic regression models were used to compute the odds ratio (OR) and the corresponding 95% confidence intervals (CIs). Results: The mean (SD) concentrations of hs-CRP were 2.79 (2.65) and 1.86 (2.03) mg/L, respectively, in cases and controls (P < 0.001). After multivariate adjustment for T2D risk factors such as lifestyle, body mass index, plasma triglycerides and HDL cholesterol, the OR comparing the extreme quartiles of hs-CRP was 1.74 [95% CI 1.12-2.70; P for trend = 0.016]. When the analysis was limited to 279 cases who had HbA1c ?6.5% at the time of blood collection and their controls, the OR comparing the extreme quartiles of hs-CRP was 2.43 (95% CI 1.25-4.71; P for trend = 0.003). When confined to the other 292 subjects with HbA1c <6.5% and their controls, the corresponding OR was 1.24 (95% CI 0.64-2.39; P for trend = 0.93). Conclusions: We found that CRP was not associated with increased risk of incident diabetes in this cohort of Chinese in Singapore. Previous positive findings from prospective studies might be partly due to undiagnosed T2D among the cases during blood collection. © 2017 The Author(s). | |
dc.publisher | BioMed Central Ltd. | |
dc.source | Unpaywall 20200831 | |
dc.subject | C reactive protein | |
dc.subject | hemoglobin A1c | |
dc.subject | high density lipoprotein cholesterol | |
dc.subject | high sensitive C reactive protein | |
dc.subject | triacylglycerol | |
dc.subject | unclassified drug | |
dc.subject | biological marker | |
dc.subject | C reactive protein | |
dc.subject | adult | |
dc.subject | Article | |
dc.subject | body mass | |
dc.subject | Chinese | |
dc.subject | cholesterol blood level | |
dc.subject | controlled study | |
dc.subject | female | |
dc.subject | human | |
dc.subject | lifestyle | |
dc.subject | major clinical study | |
dc.subject | male | |
dc.subject | non insulin dependent diabetes mellitus | |
dc.subject | population based case control study | |
dc.subject | prospective study | |
dc.subject | protein blood level | |
dc.subject | risk assessment | |
dc.subject | risk factor | |
dc.subject | self report | |
dc.subject | Singaporean | |
dc.subject | triacylglycerol blood level | |
dc.subject | aged | |
dc.subject | blood | |
dc.subject | case control study | |
dc.subject | China | |
dc.subject | confidence interval | |
dc.subject | Diabetes Mellitus, Type 2 | |
dc.subject | incidence | |
dc.subject | metabolism | |
dc.subject | middle aged | |
dc.subject | multivariate analysis | |
dc.subject | odds ratio | |
dc.subject | statistical model | |
dc.subject | Aged | |
dc.subject | Biomarkers | |
dc.subject | C-Reactive Protein | |
dc.subject | Case-Control Studies | |
dc.subject | China | |
dc.subject | Confidence Intervals | |
dc.subject | Diabetes Mellitus, Type 2 | |
dc.subject | Female | |
dc.subject | Humans | |
dc.subject | Incidence | |
dc.subject | Logistic Models | |
dc.subject | Male | |
dc.subject | Middle Aged | |
dc.subject | Multivariate Analysis | |
dc.subject | Odds Ratio | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.contributor.department | LIFE SCIENCES INSTITUTE | |
dc.description.doi | 10.1186/s12902-017-0159-5 | |
dc.description.sourcetitle | BMC Endocrine Disorders | |
dc.description.volume | 17 | |
dc.description.issue | 1 | |
dc.description.page | 8 | |
dc.published.state | Published | |
Appears in Collections: | Elements Staff Publications |
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