scholarly journals Serum Potassium and Glucose Regulation in the ADDITION-Leicester Screening Study

2015 ◽  
Vol 2015 ◽  
pp. 1-4
Author(s):  
Patrice Carter ◽  
Danielle H. Bodicoat ◽  
Lauren M. Quinn ◽  
Francesco Zaccardi ◽  
David R. Webb ◽  
...  
Keyword(s):  
Population Based ◽  
Glucose Regulation ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Screening Study ◽  
Multiethnic Population ◽  
Baseline Characteristics ◽  
Sectional Analysis

Introduction. Previous observational studies have shown conflicting results between plasma K+concentrations and risk of type 2 diabetes. To help clarify the evidence we aimed to determine whether an association existed between serum K+and glucose regulation within a UK multiethnic population.Methods. Participants were recruited as part of the ADDITION Leicester study, a population based screening study. Individuals from primary care between the age of 40 and 75 years if White European or 25 and 75 years if South Asian or Afro Caribbean were recruited. Tests for associations between baseline characteristics and K+quartiles were conducted using linear regression models.Results. Data showed individuals in the lowest K+quartile had significantly greater 2-hour glucose levels (0.53 mmol/L, 95% CI: 0.36 to 0.70,P≤0.001) than those in the highest K+quartile. This estimation did not change with adjustment for potential confounders. Conversely, participants in the lowest K+quartile had a 0.14% lower HbA1c (95% CI −0.19 to −0.10:P≤0.001) compared to those in the highest K+quartile.Conclusion. This cross-sectional analysis demonstrated that lower K+was associated with greater 2 hr glucose. The data supports the possibility that K+may influence glucose regulation and further research is warranted.

scholarly journals Circulating plasma proteins and new-onset diabetes in a population-based study: proteomic and genomic insights from the STANISLAS cohort

2020 ◽  
Vol 183 (3) ◽  
pp. 285-295
Author(s):  
João Pedro Ferreira ◽  
Zohra Lamiral ◽  
Constance Xhaard ◽  
Kévin Duarte ◽  
Emmanuel Bresso ◽  
...  
Keyword(s):  
Population Based ◽  
Fibroblast Growth Factor 21 ◽  
Genetic Associations ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Lower Egfr ◽  
Sectional Analysis ◽  
New Onset

Objective: Determining the factors associated with new-onset pre-diabetes and type 2 diabetes mellitus (T2D) is important for improving the current prevention strategies and for a better understanding of the disease. Design: To study the factors (clinical, circulating protein and genetic) associated with new onset pre-diabetes and T2D in an initially healthy (without diabetes) populational familial cohort with a long follow-up (STANISLAS cohort). Methods: A total of 1506 participants attended both the visit 1 and visit 4, separated by ≈20 years. Over 400 proteins, GWAS and genetic associations were studied using models adjusted for potential confounders. Both prospective (V1 to V4) and cross-sectional (V4) analyses were performed. Results: People who developed pre-diabetes (n = 555) and/or T2D (n = 73) were older, had higher BMI, blood pressure, glucose, LDL cholesterol, and lower eGFR. After multivariable selection, PAPP-A (pappalysin-1) was the only circulating protein associated with the onset of both pre-diabetes and T2D with associations persisting at visit 4 (i.e. ≈20 years later). FGF-21 (fibroblast growth factor 21) was a strong prognosticator for incident T2D in the longitudinal analysis, but not in the cross-sectional analysis. The heritability of the circulating PAPP-A was estimated at 44%. In GWAS analysis, the SNP rs634737 was associated with PAPP-A both at V1 and V4. External replication also showed lower levels of PAPP-A in patients with T2D. Conclusions: The risk of developing pre-diabetes and T2D increases with age and with features of the metabolic syndrome. Circulating PAPP-A, which has an important genetic component, was associated with both the development and presence of pre-diabetes and T2D.

scholarly journals The influence of different glucose tolerance on QTc interval: a population-based study

2021 ◽  
Author(s):  
Ning Lin ◽  
Hongmei Zhang ◽  
Xiaoyong Li ◽  
Yixin Niu ◽  
Hongxia Gu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glucose Tolerance ◽  
Plasma Glucose ◽  
Population Based ◽  
Glucose Regulation ◽  
Qtc Interval ◽  
Middle Aged ◽  
Cross Sectional ◽  
Older Chinese

Abstract Background Corrected QT (QTc) interval has been reported to be associated with type 2 diabetes. This study aimed to explore the relationship between different glucose tolerance and QTc interval among middle-aged and older Chinese individuals. Methods We conducted a cross-sectional analysis that included 9898 subjects (3194 men and 6704 women) in a Chinese population. Glucose tolerance was studied during OGTT. Insulin, blood pressure, HbA1c, serum lipids, hepatic transaminases and waist-to-hip ratio were assessed.The QTc interval was derived from ECG recordings, and the subjects were stratified based on different glucose tolerance. Results QTc interval levels were increased significantly in the subjects with abnormal glucose metabolism compared with the normal glucose regulation group. Multiple regression analyses QTc interval was significantly associated with fasting plasma glucose, 2-h OGTT plasma glucose and HbA1c. The odds ratios of prolonged QTc was 1.396 for IFG/IGT (95% CI: 0.126-1.730), 1.342 for type 2 diabetes (95% CI: 0.142-1.577) after all the potential confounders were adjusted. Conclusions IGR and diabetes are associated with prolonged QTc interval among middle-aged and older Chinese individuals. Abnormal glucose regulation can be used to monitor QTc interval in the population.

scholarly journals Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome

2019 ◽  
Vol 8 (7) ◽  
pp. 1053 ◽  
Author(s):  
Christopher Papandreou ◽  
Andrés Díaz-López ◽  
Nancy Babio ◽  
Miguel A. Martínez-González ◽  
Mónica Bulló ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Cox Regression ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Objectively Measured ◽  
Sectional Analysis ◽  
Prevalence Ratios ◽  
Time Linear

Research examining associations between objectively-measured napping time and type 2 diabetes (T2D) is lacking. This study aimed to evaluate daytime napping in relation to T2D and adiposity measures in elderly individuals from the Mediterranean region. A cross-sectional analysis of baseline data from 2190 elderly participants with overweight/obesity and metabolic syndrome, in the PREDIMED-Plus trial, was carried out. Accelerometer-derived napping was measured. Prevalence ratios (PR) and 95% confidence intervals (CI) for T2D were obtained using multivariable-adjusted Cox regression with constant time. Linear regression models were fitted to examine associations of napping with body mass index (BMI) and waist circumference (WC). Participants napping ≥90 min had a higher prevalence of T2D (PR 1.37 (1.06, 1.78)) compared with those napping 5 to <30 min per day. Significant positive associations with BMI and WC were found in those participants napping ≥30 min as compared to those napping 5 to <30 min per day. The findings of this study suggest that longer daytime napping is associated with higher T2D prevalence and greater adiposity measures in an elderly Spanish population at high cardiovascular risk.

scholarly journals Anxiety Amplifies Plasma Oxytocin Levels in Older Individuals with type 2 Diabetes. Findings from the Cross-Sectional KORA-Age Study.

2021 ◽  
Author(s):  
Hamimatunnisa Johar ◽  
Seryan Atasoy ◽  
Linmiao Jiang ◽  
Martin Bidlingmaier ◽  
Johannes Kruse ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Energy Homeostasis ◽  
Statistical Significance ◽  
Population Based ◽  
Pathological Feature ◽  
Older Individuals ◽  
Cross Sectional ◽  
Obesity Status ◽  
Sectional Analysis

Abstract PurposeBeyond its role in parturition, lactation, and emotion regulation, oxytocin (OXT) plays an important role in metabolism and energy homeostasis, although evidence is still limited. We investigated the association between endogenous OXT levels and type 2 diabetes mellitus (T2DM) and whether anxiety may modify its association.MethodsA cross-sectional analysis was conducted in 1006 participants aged 65-93 years (mean=75.9, SD ± 6.6) from the population-based KORA-Age study. Multivariable generalized linear regression analyses were performed to examine the association between non-extracted plasma OXT levels and T2DM with adjustments for potential confounders. ResultsAcross the OXT tertile groups, no substantial differences between sociodemographic, lifestyle, cardiometabolic or psychosocial factors were found except for multimorbidity. The differences between the OXT tertile groups with respect to obesity status were on the borderline of statistical significance (P=0.05). However, a significant statistical interaction between T2DM and anxiety on OXT levels was found (p = 0.03). In T2DM individuals with anxiety, substantially higher plasma OXT levels (Least Squares (LS) mean = 340.82 pg/ml, 95% CI 231.12-502.59) were observed compared to those without anxiety (217.08 pg/ml, 95% CI 190.93 – 247.99) (p=0.02). No significant association between T2DM and OXT levels in individuals without anxiety was found. ConclusionOXT levels were significantly elevated in T2DM subjects, particularly among older individuals with anxiety. The modifying role of anxiety highlights that anxiogenic stimuli may be associated with enhanced OXT signalling, particularly in subjects who suffer from T2DM as a severe pathological feature of dysregulated metabolism.

scholarly journals The association between serum alanine aminotransferase and hypertension: A national based cross-sectional analysis among over 21 million Chinese adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiajing Jia ◽  
Ying Yang ◽  
Fangchao Liu ◽  
Minjin Zhang ◽  
Qin Xu ◽  
...  
Keyword(s):  
Alanine Aminotransferase ◽  
Elevated Serum ◽  
Population Based ◽  
Reproductive Age ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Serum Alanine Aminotransferase ◽  
Cross Sectional Analysis ◽  
Registration Data ◽  
Sectional Analysis

Abstract Background Inconsistent results were found in the association between serum alanine aminotransferase (ALT) and hypertension among population-based studies. This study evaluated the association between ALT and hypertension among Chinese reproductive-age population by utilizing registration data from National Free Pre-pregnancy Checkups Project in 2016–2017. Methods The 21,103,790 registered participants were eligible for analysis, including women who were 20–49 years old and men who were 20–59 years old with available data for ALT and blood pressure (BP). Logistic regression was conducted to estimate odds ratio (OR) for the association between ALT and hypertension as a binary outcome. Linear regression was used to examine the association between ALT and BP as a continuous outcome. Results In total, 4.21% of the participants were hypertensive, and 11.67% had elevated ALT (> 40 U/L). Hypertension prevalence was 3.63% and 8.56% among participants with normal and elevated ALT levels. A strong linear relationship was found between serum ALT levels and the odds of hypertension after adjustment for potential confounders. The multivariable-adjusted ORs for hypertension were 1, 1.22 (1.21, 1.22), 1.67 (1.65 1.68), 1.78 (1.76, 1.80), and 1.92 (1.90, 1.94) in participants with ALT levels of ≤ 20, 20.01–40, 40.01–60, 60.01–80, and > 80 U/L, respectively. Systolic and diastolic BPs rose by 1.83 and 1.20 mmHg on average, for each 20 U/L increase in ALT (P for trend < 0.001). The association was consistent among subgroups and tended to be stronger among populations who are overweight (body mass index ≥ 24 kg/m2) (χ2 = 52,228, P < 0.001), alcohol drinking (χ2 = 100,730, P < 0.001) and cigarette smoking (χ2 = 105,347, P < 0.001). Conclusions Our cross-sectional analysis suggested a linear association between serum ALT and hypertension or BP, which indicated that abnormal liver metabolism marked by elevated serum ALT could play a role in hypertension or elevated BP condition.

scholarly journals Associations between multimorbidity and glycaemia (HbA1c) in people with type 2 diabetes: cross-sectional study in Australian general practice

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039625
Author(s):  
Jason I Chiang ◽  
John Furler ◽  
Frances Mair ◽  
Bhautesh D Jani ◽  
Barbara I Nicholl ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
General Practice ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Linear Regression Models ◽  
Sectional Study ◽  
Cross Sectional ◽  
Long Term Conditions ◽  
Australian General Practice

ObjectivesTo explore the prevalence of multimorbidity as well as individual and combinations of long-term conditions (LTCs) in people with type 2 diabetes (T2D) attending Australian general practice, using electronic health record (EHR) data. We also examine the association between multimorbidity condition count (total/concordant(T2D related)/discordant(unrelated)) and glycaemia (glycated haemoglobin, HbA1c).DesignCross-sectional study.SettingAustralian general practice.Participants69 718 people with T2D with a general practice encounter between 2013 and 2015 captured in the MedicineInsight database (EHR Data from 557 general practices and >3.8 million Australian patients).Primary and secondary outcome measuresPrevalence of multimorbidity, individual and combinations of LTCs. Multivariable linear regression models used to examine associations between multimorbidity counts and HbA1c (%).ResultsMean (SD) age 66.42 (12.70) years, 46.1% female and mean (SD) HbA1c 7.1 (1.4)%. More than 90% of participants with T2D were living with multimorbidity. Discordant conditions were more prevalent (83.4%) than concordant conditions (69.9 %). The three most prevalent discordant conditions were: painful conditions (55.4%), dyspepsia (31.6%) and depression (22.8%). The three most prevalent concordant conditions were hypertension (61.4%), coronary heart disease (17.1%) and chronic kidney disease (8.5%). The three most common combinations of conditions were: painful conditions and hypertension (38.8%), painful conditions and dyspepsia (23.1%) and hypertension and dyspepsia (22.7%). We found no associations between any multimorbidity counts (total, concordant and discordant) or combinations and HbA1c.ConclusionsMultimorbidity was common in our cohort of people with T2D attending Australian general practice, but was not associated with glycaemia. Although we did not explore mortality in this study, our results suggest that the increased mortality in those with multimorbidity and T2D observed in other studies may not be linked to glycaemia. Interestingly, discordant conditions were more prevalent than concordant conditions with painful conditions being the second most common comorbidity. Better understanding of the implications of different patterns of multimorbidity in people with T2D will allow more effective tailored care.

scholarly journals Starchy Vegetables and Metabolic Syndrome in Costa Rica

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1639
Author(s):  
Zhongyao Li ◽  
Dongqing Wang ◽  
Edward A. Ruiz-Narváez ◽  
Karen E. Peterson ◽  
Hannia Campos ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Models ◽  
Fasting Blood Glucose ◽  
Population Based ◽  
Cross Sectional Study ◽  
Costa Rican ◽  
Least Square ◽  
Inverse Association ◽  
Linear Regression Models ◽  
Cross Sectional

Only a few studies primarily examined the associations between starchy vegetables (other than potatoes) and metabolic syndrome (MetS). We aimed to evaluate the association between starchy vegetables consumption and MetS in a population-based sample of Costa Rican adults. We hypothesized that a higher overall intake of starchy vegetables would not be associated with higher MetS prevalence. In this cross-sectional study, log-binomial regression models were used to estimate prevalence ratios (PRs) of MetS across quintiles of total, unhealthy, healthy starchy vegetables, and individual starchy vegetables (potatoes, purple sweet potatoes, etc.), among 1881 Costa Rican adults. Least square means and 95% confidence intervals (CIs) from linear regression models were estimated for each MetS component by categories of starchy vegetable variables. Higher intakes of starchy vegetables were associated with a higher prevalence of MetS in crude models, but no significant trends were observed after adjusting for confounders. A significant inverse association was observed between total starchy and healthy starchy vegetables consumption and fasting blood glucose. In this population, starchy vegetables might be part of a healthy dietary pattern.

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