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  • 1
    In: Diabetes Care, American Diabetes Association, Vol. 33, No. 11 ( 2010-11-01), p. 2342-2348
    Abstract: Physical activity may modify the association of adiposity with type 2 diabetes. We investigated the independent and joint association of adiposity and physical activity with fasting plasma glucose, impaired fasting glucose, and type 2 diabetes in a Chinese population. RESEARCH DESIGN AND METHODS Middle-aged and older Chinese (n = 28,946, ≥50 years, 72.4%women) from the Guangzhou Biobank Cohort Study were examined in 2003–2008. Multivariable regression was used in a cross-sectional analysis. RESULTS BMI, waist circumference, and waist-to-hip ratio (WHR) were positively associated with type 2 diabetes after multiple adjustment, most strongly for WHR with odds ratio (OR) of 3.99 (95% CI 3.60–4.42) for highest compared with lowest tertile. Lack of moderate-to-vigorous physical activity, but not walking, was associated with diabetes with an OR of 1.29 (1.17–1.41). The association of moderate-to-vigorous activity with fasting glucose varied with WHR tertiles (P = 0.01 for interaction). Within the high WHR tertile, participants who had a lack of moderate-to-vigorous activity had an OR of 3.87 (3.22–4.65) for diabetes, whereas those who were active had an OR of 2.94 (2.41–3.59). CONCLUSIONS In this population, WHR was a better measure of adiposity-related diabetes risk than BMI or waist circumference. Higher moderate-to-vigorous activity was associated with lower diabetes risk, especially in abdominally obese individuals.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2010
    detail.hit.zdb_id: 1490520-6
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  • 2
    In: Diabetes, American Diabetes Association, Vol. 67, No. Supplement_1 ( 2018-07-01)
    Abstract: Objective: To investigate the relationship between maternal metabolic parameters with birth weight (BW) and cord blood insulin level(CBI). Research Design and Methods: Participants were mother-baby pairs (n=1,522) from the Born in Guangzhou Cohort Study (delivered during January 2015 to June 2016). Data on maternal pre-pregnancy BMI, Gestational Weight Gain (GWG), mid-pregnancy fasting glucose and lipid levels were collected; and associations with new-born BW and CBI (z-score) were assessed using multivariable linear regression model, controlling for maternal age, ethnic group, parity and early pregnancy cigarettes exposure. The effect estimates (Regression Co-Efficient: RCE) were standardised to compare the strength of associations of the exposures on BW and CBI z-score. Results: Z-scores for pre-pregnancy BMI (RCE: 0.20[95% CI: 0.15, 0.24]), early GWG (RCE: 0.18[95% CI: 0.13, 0.23] ), glucose (RCE: 0.08[95% CI: 0.04, 0.12]) and triglycerides (RCE: 0.12[95% CI: 0.08, 0.16] )) were positively associated with BW z-score. Similar associations were observed with CBI z-score (pre-pregnancy BMI (RCE: 0.11[95% CI: 0.06, 0.16]), early GWG (RCE: 0.07[95% CI: 0.00, 0.13] ), glucose (RCE: 0.14[95% CI: 0.09, 0.19]) and triglycerides (RCE: 0.07[95% CI: 0.02, 0.12] ). Maternal fasting high-density lipoprotein was negatively associated with BW z-score (RCE:-0.04[95% CI:-0.09, -0.00]) and CBI z-score (RCE: -0.04[95% CI:-0.09, 0.01] ) but the 95% CI for the latter included the null. Conclusions: Maternal pre-pregnancy BMI had the strongest association with BW and CBI, emphasising the importance of optimising preconception BMI. Our results also suggest potential under-recognised adverse effects of intrauterine exposure to gestational dyslipidaemia and that this may warrant clinical attention. Disclosure J. Wang: None. Y. Kuang: None. M.J. Price: None. J. Lu: None. J. He: None. H. Xia: None. X. Qiu: None. K. Cheng: None. K. Nirantharakumar: None.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
    detail.hit.zdb_id: 1501252-9
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  • 3
    Online Resource
    Online Resource
    American Diabetes Association ; 2011
    In:  Diabetes Care Vol. 34, No. 10 ( 2011-10-01), p. 2317-2319
    In: Diabetes Care, American Diabetes Association, Vol. 34, No. 10 ( 2011-10-01), p. 2317-2319
    Abstract: To examine the association between total sleep duration and the prevalence of metabolic syndrome (MetSyn) in older Chinese. RESEARCH DESIGN AND METHODS Cross-sectional analysis of baseline data from the Guangzhou Biobank Cohort Study (GBCS) was performed. Participants (n = 29,333) were aged ≥50 years. Risk of MetSyn and its components were identified for self-reported total sleep duration. RESULTS Participants reporting long (≥9 h) and short ( & lt;6 h) total sleep duration had increased odds ratio (OR) of 1.18 (95% CI 1.07–1.30) and 1.14 (1.05–1.24) for the presence of MetSyn, respectively. The relationship remained in long sleepers (OR 1.21 [1.10–1.34]) but diminished in short sleepers (0.97 [0.88–1.06] ) after full adjustment. CONCLUSIONS Long sleep duration was associated with greater risk of MetSyn in older Chinese. Confirmation through longitudinal studies is needed. The mechanisms mediating the link between long sleep duration and MetSyn require further investigation.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2011
    detail.hit.zdb_id: 1490520-6
    Location Call Number Limitation Availability
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