Presentation is loading. Please wait.

Presentation is loading. Please wait.

Predicted probability of type 2 diabetes by age and four metabolic phenotypes, from logistic regression: Cameron County Hispanic Cohort (CCHC) and Population.

Published byΙάνθη Χρηστόπουλος Modified over 5 years ago

Similar presentations

Presentation on theme: "Predicted probability of type 2 diabetes by age and four metabolic phenotypes, from logistic regression: Cameron County Hispanic Cohort (CCHC) and Population."— Presentation transcript:

1 Predicted probability of type 2 diabetes by age and four metabolic phenotypes, from logistic regression: Cameron County Hispanic Cohort (CCHC) and Population Study of Urban, Rural, and Semi-Urban Regions for the Detection of Endovascular Disease (PURSE) coh... Predicted probability of type 2 diabetes by age and four metabolic phenotypes, from logistic regression: Cameron County Hispanic Cohort (CCHC) and Population Study of Urban, Rural, and Semi-Urban Regions for the Detection of Endovascular Disease (PURSE) cohorts. *Statistically significant (P<0.05) OR obtained from design-based logistic regression, adjusting for age, with MHNO as reference.DM, diabetes mellitus; OR, ORs for DM versus no DM; MHO, metabolically healthy, obese; MHNO, metabolically healthy, non-obese; MUHNO, metabolically unhealthy, non-obese; MUHO, metabolically unhealthy, obese. Gordon P Watt et al. BMJ Open Diab Res Care 2018;6:e000436 ©2018 by American Diabetes Association

Download ppt "Predicted probability of type 2 diabetes by age and four metabolic phenotypes, from logistic regression: Cameron County Hispanic Cohort (CCHC) and Population."

Similar presentations

The prevalence of diabetes (A), impaired glucose tolerance (B), impaired fasting glucose (C), and impaired glucose metabolism (D) among those with Finnish.

The prevalence of diabetes (A), impaired glucose tolerance (B), impaired fasting glucose (C), and impaired glucose metabolism (D) among those with Finnish.
Distribution of the absolute percentage differences of each basal rate estimate to final basal rates. Distribution of the absolute percentage differences.

Distribution of the absolute percentage differences of each basal rate estimate to final basal rates. Distribution of the absolute percentage differences.
Frequency of potential risk of hypoglycemia for each estimate method, defined as a percentage difference between the estimate and final basal rate. Frequency.

Frequency of potential risk of hypoglycemia for each estimate method, defined as a percentage difference between the estimate and final basal rate. Frequency.
Subgroup analysis: random-effects model of the risk of lower extremity amputation in people with diabetes associated with depression compared with no depression.

Subgroup analysis: random-effects model of the risk of lower extremity amputation in people with diabetes associated with depression compared with no depression.
The excess effect of 3 or 6 months low to moderate carbohydrate diet compared with high-carbohydrate diet on HbA1c (%) versus reported intake (Energy %)

The excess effect of 3 or 6 months low to moderate carbohydrate diet compared with high-carbohydrate diet on HbA1c (%) versus reported intake (Energy %)
Distribution of the percentage differences of each basal rate estimate to final basal insulin rates. Distribution of the percentage differences of each.

Distribution of the percentage differences of each basal rate estimate to final basal insulin rates. Distribution of the percentage differences of each.
Effect of Ma-Pi diet versus control diet on change in TNF-α, IL-6, CRP, BAP test, and IGF-1. Effect of Ma-Pi diet versus control diet on change in TNF-α,

Effect of Ma-Pi diet versus control diet on change in TNF-α, IL-6, CRP, BAP test, and IGF-1. Effect of Ma-Pi diet versus control diet on change in TNF-α,
Map of the USA (including Alaska, Hawaii and Puerto Rico), showing the mean annual temperature and the magnitude of the β coefficientsa from the obesity-adjusted.

Map of the USA (including Alaska, Hawaii and Puerto Rico), showing the mean annual temperature and the magnitude of the β coefficientsa from the obesity-adjusted.
The worldwide association between mean annual temperature and age-adjusted, sex-adjusted, income-adjusted and obesity-adjusted prevalence of raised fasting.

The worldwide association between mean annual temperature and age-adjusted, sex-adjusted, income-adjusted and obesity-adjusted prevalence of raised fasting.
Obesity and type 2 diabetes forecasts.

Obesity and type 2 diabetes forecasts.
DASH component score by Hispanic/Latino heritage adjusted by age and sex. 1Adjusted by age and sex (mean age: 41.07, % male: 47.71). 2Each component ranges.

DASH component score by Hispanic/Latino heritage adjusted by age and sex. 1Adjusted by age and sex (mean age: 41.07, % male: 47.71). 2Each component ranges.
The association between mean annual temperature and diabetes incidence in the USA over the period 1996–2009. The association between mean annual temperature.

The association between mean annual temperature and diabetes incidence in the USA over the period 1996–2009. The association between mean annual temperature.
Muscle quality (mean±SE, %) of the patients with NDR, NPDR and PDR

Muscle quality (mean±SE, %) of the patients with NDR, NPDR and PDR
Correlation of E/e’ with age (A), gender (B), fasting insulin (C), and sulfonylurea use (SU) (D) among patients with type 2 diabetes mellitus. Correlation.

Correlation of E/e’ with age (A), gender (B), fasting insulin (C), and sulfonylurea use (SU) (D) among patients with type 2 diabetes mellitus. Correlation.
Cumulative incidence of (A) ESRD, (B) all-cause death, (C) all-cause death without ESRD and (D) ESRD or all-cause death in patients with T1DM diagnosed.

Cumulative incidence of (A) ESRD, (B) all-cause death, (C) all-cause death without ESRD and (D) ESRD or all-cause death in patients with T1DM diagnosed.
(A) Quality of life scores in individuals with and without constipation. (A) Quality of life scores in individuals with and without constipation. (B) Quality.

(A) Quality of life scores in individuals with and without constipation. (A) Quality of life scores in individuals with and without constipation. (B) Quality.
Proportion of participants with type 2 diabetes (diabetes categories are defined according to the American Diabetes Association 2010 Diagnostic Guidelines),

Proportion of participants with type 2 diabetes (diabetes categories are defined according to the American Diabetes Association 2010 Diagnostic Guidelines),
Subgroup analysis. Subgroup analysis. Effect of vitamin D supplementation on outcome variables in subgroups defined by baseline levels of the respective.

Subgroup analysis. Subgroup analysis. Effect of vitamin D supplementation on outcome variables in subgroups defined by baseline levels of the respective.
Gender differences in diabetes prevalence in 2009 in the general Portuguese population patients and in patients with CAP. Diabetes prevalence is higher.

Gender differences in diabetes prevalence in 2009 in the general Portuguese population patients and in patients with CAP. Diabetes prevalence is higher.
Flow sheet over the primary study population as well as comparative individuals of “pre-diabetic” individuals followed from HUNT2 to HUNT3 (GAD, glutamic.

Flow sheet over the primary study population as well as comparative individuals of “pre-diabetic” individuals followed from HUNT2 to HUNT3 (GAD, glutamic.

Similar presentations

Ads by Google