Presentation is loading. Please wait.

Presentation is loading. Please wait.

ORs for presence of the metabolic syndrome (95% CI) at age 43 years according to leisure-time physical activity and TV viewing (adjusted for sex, socioeconomic.

Published byΠλειόνη Αθανασίου Modified over 5 years ago

Similar presentations

Presentation on theme: "ORs for presence of the metabolic syndrome (95% CI) at age 43 years according to leisure-time physical activity and TV viewing (adjusted for sex, socioeconomic."— Presentation transcript:

1 ORs for presence of the metabolic syndrome (95% CI) at age 43 years according to leisure-time physical activity and TV viewing (adjusted for sex, socioeconomic disadvantage, family history of diabetes, BMI, intake of sweets/pastries, alcohol consumption, and smoking). ORs for presence of the metabolic syndrome (95% CI) at age 43 years according to leisure-time physical activity and TV viewing (adjusted for sex, socioeconomic disadvantage, family history of diabetes, BMI, intake of sweets/pastries, alcohol consumption, and smoking). TV viewing one show per day or less, ●; TV viewing several shows a day, ○. Patrik Wennberg et al. Dia Care 2013;36: ©2013 by American Diabetes Association

Download ppt "ORs for presence of the metabolic syndrome (95% CI) at age 43 years according to leisure-time physical activity and TV viewing (adjusted for sex, socioeconomic."

Similar presentations

Pai JK et al. N Engl J Med 2004; 351:2599-2610. Relative CHD risk by increasing baseline CRP plasma levels,* relative to CRP

Pai JK et al. N Engl J Med 2004; 351: Relative CHD risk by increasing baseline CRP plasma levels,* relative to CRP
Relationship of Physical Activity and Body Mass Index to the Risk of Hypertension: A Prospective Study in Finland by Gang Hu, Noël C. Barengo, Jaakko Tuomilehto,

Relationship of Physical Activity and Body Mass Index to the Risk of Hypertension: A Prospective Study in Finland by Gang Hu, Noël C. Barengo, Jaakko Tuomilehto,
Restricted cubic spline plots of the associations between daily fruit intake with body mass index (BMI) (A), waist circumference (B), percentage fat mass.

Restricted cubic spline plots of the associations between daily fruit intake with body mass index (BMI) (A), waist circumference (B), percentage fat mass.
Change (with 95% CI) in outcomes by duration of type 2 diabetes

Change (with 95% CI) in outcomes by duration of type 2 diabetes
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.
Sleep Duration and Blood Pressure

Sleep Duration and Blood Pressure
Sweetened Drinks and Risk of Diabetes

Sweetened Drinks and Risk of Diabetes
A: Kaplan-Meier estimate of time to first LLA

A: Kaplan-Meier estimate of time to first LLA
Relative risk of hypertension by quintiles of lipids (mg/dL)

Relative risk of hypertension by quintiles of lipids (mg/dL)
NAFLD (nonalcoholic fatty liver disease), CVD, and type 2 diabetes: Details of the study design Targher G et al. Diabetes Care 2007;30:1212-8.

NAFLD (nonalcoholic fatty liver disease), CVD, and type 2 diabetes: Details of the study design Targher G et al. Diabetes Care 2007;30:
Exercise PA in MET-hours/week versus total leisure sedentary behavior in hours/day and incident type 2 diabetes mellitus from 2000 to 2012. Exercise PA.

Exercise PA in MET-hours/week versus total leisure sedentary behavior in hours/day and incident type 2 diabetes mellitus from 2000 to Exercise PA.
Baseline characteristics of older women (NHS I), younger women (NHS II), and men (HPFS) with a history of hypertension according to thiazide use Eric N.

Baseline characteristics of older women (NHS I), younger women (NHS II), and men (HPFS) with a history of hypertension according to thiazide use Eric N.
Persistent organic pollutants and diabetes - Spearman correlation coefficients* among six POPs with age, sex, race and ethnicity, poverty income.

Persistent organic pollutants and diabetes - Spearman correlation coefficients* among six POPs with age, sex, race and ethnicity, poverty income.
Comparison of (A) WC, (B) fasting glucose, (C) insulin, (D) HOMA-IR, (E) numbers of metabolic factors, and (F) prevalence of metabolic syndrome in relation.

Comparison of (A) WC, (B) fasting glucose, (C) insulin, (D) HOMA-IR, (E) numbers of metabolic factors, and (F) prevalence of metabolic syndrome in relation.
The rates of occurrences of cardiovascular, cerebrovascular, and all events expressed in cases per 1, 000 patient-years in diabetic subgroups divided by.

The rates of occurrences of cardiovascular, cerebrovascular, and all events expressed in cases per 1, 000 patient-years in diabetic subgroups divided by.
Incidence of diabetes over time depends on GIS

Incidence of diabetes over time depends on GIS
Trends in prevalence of diabetes in middle-aged women grouped according to BMI at the first survey of the ALSWH. ▪, healthy (n = 5,252); ♦, overweight.

Trends in prevalence of diabetes in middle-aged women grouped according to BMI at the first survey of the ALSWH. ▪, healthy (n = 5,252); ♦, overweight.
Mean (95% CI) fasting s-glucose at baseline and 6-month, 12-month, and 24-month follow-up, overall and by sex (A), and by baseline age (B), education (C),

Mean (95% CI) fasting s-glucose at baseline and 6-month, 12-month, and 24-month follow-up, overall and by sex (A), and by baseline age (B), education (C),
Incidences (%) for the development (for individuals without MetS at baseline, n = 125) (□) and the resolution (for individuals with MetS at baseline, n.

Incidences (%) for the development (for individuals without MetS at baseline, n = 125) (□) and the resolution (for individuals with MetS at baseline, n.
Predicted percentage of home discharge by diabetes group adjusting for all variables listed in the age-centered logistic regression model with examination.

Predicted percentage of home discharge by diabetes group adjusting for all variables listed in the age-centered logistic regression model with examination.

Similar presentations

Ads by Google