scholarly journals Plasma Creatine and Incident Type 2 Diabetes in a General Population‐Based Cohort: The PREVEND Study

2020 ◽  
Author(s):  
Adrian Post ◽  
Dion Groothof ◽  
Joëlle C. Schutten ◽  
Jose L. Flores‐Guerrero ◽  
J. Casper Swarte ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
General Population ◽  
Population Based ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals Long-Term Physical Activity Participation and Subsequent Incident Type 2 Diabetes Mellitus: A Population-Based Cohort Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Chenglong Li ◽  
Yanjun Ma ◽  
Rong Hua ◽  
Fanfan Zheng ◽  
Wuxiang Xie
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Population Based ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Incident Type ◽  
Incident Type 2 Diabetes

BackgroundUncertainty remains concerning association between long-term physical activity and incident type 2 diabetes mellitus (DM). We intended to evaluate physical activity participation over a 6-year span and assess association with subsequent 10-year incident DM risk, as well as examine mediation role by obesity.MethodsA total of 9757 community-dwelling adults aged ≥ 50 years in England were included in the population-based cohort. Physical activity participation, including trajectories and cumulative participation were assessed using weighted Z score over a 6-year span from wave 1 (2002–2003) to wave 4 (2008–2009). Incident DM recorded over a 10-year span from wave 4 (2008–2009) to wave 9 (2018–2019) was outcome.Results5 distinct activity trajectories were identified, including persistently low (N=3037, incident DM=282), initially low then improving (1868, 90), initially high then declining (325, 20), persistently moderate (2489, 170), and persistently high (2038, 108). Compared with persistently low, participants of initially low then improving, persistently moderate and high were associated with lower incident DM risk, with multivariable-adjusted hazard ratios (HR) of 0.41 (95% confidence interval [CI]: 0.32 to 0.53, P<0.001), 0.70 (95% CI: 0.56 to 0.89, P=0.004) and 0.49 (95% CI: 0.37 to 0.65, P <0.001), respectively. Elevated cumulative activity was also associated with lower DM risk, with each quintile increment in cumulative weighted Z score corresponding to HR of 0.76 (95% CI: 0.71 to 0.82, P <0.001). Mediation analysis found that body mass index, waist circumference and change in body mass index mediate 10% (P <0.001), 17% (P <0.001) and 9% (P <0.001) of the observed association between activity and incident DM, respectively.ConclusionsFor middle aged and older adults, both gradually improved and persistently active participation in physical activity were associated with subsequent lower risk of incident DM, with obesity playing a potential mediator. Strategies focusing on improving and maintaining active participation in physical activity might be beneficial from DM prevention perspective.

Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study

2018 ◽  
Vol 43 (1) ◽  
pp. 139-148 ◽  
Author(s):  
Takuro Okamura ◽  
Yoshitaka Hashimoto ◽  
Masahide Hamaguchi ◽  
Akihiro Obora ◽  
Takao Kojima ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Longitudinal Study ◽  
Population Based ◽  
Ectopic Fat ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals A plasma metabolite score of three eicosanoids predicts incident type 2 diabetes - a prospective study in three independent cohorts

2021 ◽  
Author(s):  
Karolina Tuomisto ◽  
Joonatan Palmu ◽  
Tao Long ◽  
Jeramie Watrous ◽  
Kysha Mercader ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cox Regression ◽  
Meta Analysis ◽  
Population Based ◽  
Forward Selection ◽  
Incident Type ◽  
Markers Of Inflammation ◽  
Mediators Of Inflammation ◽  
Incident Type 2 Diabetes

Aim Peptide markers of inflammation have been associated with the development of type 2 diabetes. The role of upstream, lipid-derived mediators of inflammation such as eicosanoids, remains less clear. The aim was to examine whether eicosanoids are associated with incident type 2 diabetes. Methods In the FINRISK 2002 study, a population-based sample of Finnish men and women aged 25-74 years, we used directed, non-targeted liquid chromatography - mass spectrometry to identify 545 eicosanoids and related oxylipins in the participants' plasma samples (n=8,292). We used multivariable-adjusted Cox regression to examine associations between eicosanoids and incident type 2 diabetes. The findings were replicated in the Framingham Heart Study (FHS, n=2,886) and DILGOM 2007 (n=3,905). Together, these three cohorts had 1070 cases of incident type 2 diabetes. Results 76 eicosanoids were associated individually with incident type 2 diabetes. We identified three eicosanoids independently associated with incident type 2 diabetes using stepwise Cox regression with forward selection and a Bonferroni-corrected inclusion threshold. A three-eicosanoid risk score produced a hazard ratio (HR) of 1.56 (95% confidence interval 1.41-1.72) per one standard deviation (SD) increment for risk of incident diabetes. The HR for comparing the top quartile to the lowest was 2.80 (2.53-3.07). Meta-analysis of the three cohorts yielded a pooled HR per SD of 1.31 (1.05-1.56). Conclusion Plasma eicosanoid profiles predict incident type 2 diabetes and the clearest signals replicate in three independent cohorts. Our findings give new information on the biology underlying type 2 diabetes and suggest opportunities for early identification of people at risk.

Association of Sleep and Circadian Patterns and Genetic Risk with Incident Type 2 Diabetes: A Large Prospective Population-Based Cohort Study

2021 ◽  
Author(s):  
Zhi-Hao Li ◽  
Pei-Dong Zhang ◽  
Qing Chen ◽  
Xiang Gao ◽  
Vincent CH Chung ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Genetic Risk ◽  
Population Based ◽  
Polygenic Risk Score ◽  
Circadian Pattern ◽  
Incident Type ◽  
Incident Type 2 Diabetes ◽  
Circadian Patterns

Objective To examine the association of incident type 2 diabetes (T2D) risk with sleep factors, genetic risk, and their combination effects. Design Large prospective population-based cohort study. Methods This population-based prospective cohort study included 360 403 (mean [SD] age: 56.6 [8.0] years) participants without T2D at baseline from the UK Biobank. Genetic risk was categorized as high (highest quintile), intermediate (quintiles 2 to 4), and low (lowest quintile) based on a polygenic risk score for T2D. Sleep scores, including long or short sleep duration, insomnia, snoring, late chronotype, and excessive daytime sleepiness, were categorized as an unfavourable, intermediate, or favourable sleep and circadian pattern. Results During a median follow-up of 9.0 years, 13 120 incident T2D cases were recorded. Among the participants with an unfavourable sleep and circadian pattern, 6.96% (95% CI, 6.68%–7.24%) developed T2D versus 2.37% (95% CI, 2.28%–2.46%) of participants with a favourable sleep and circadian pattern (adjusted HR: 1.53, 95% CI: 1.45–1.62). Of participants with a high genetic risk, 5.53% (95% CI, 5.36%–5.69%) developed T2D versus 2.01% (95% CI, 1.91%–2.11%) of participants with a low genetic risk (adjusted HR: 2.89, 95% CI: 2.72–3.07). The association with sleep and circadian patterns was independent of genetic risk strata. Participants in the lowest quintile with an unfavourable sleep and circadian pattern were 3.97-fold more likely to develop T2D than those in the lowest quintile with a favourable sleep and circadian pattern. Conclusions Sleep and circadian patterns and genetic risk were independently associated with incident T2D. These results indicate the benefits of adhering to a healthy sleep and circadian pattern in entire populations, independent of genetic risk.

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