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ABSTRACT: Aims/hypothesis
We compared the ability of genetic (established type 2 diabetes, fasting glucose, 2 h glucose and obesity variants) and modifiable lifestyle (diet, physical activity, smoking, alcohol and education) risk factors to predict incident type 2 diabetes and obesity in a population-based prospective cohort of 3,444 Swedish adults studied sequentially at baseline and 10 years later.Methods
Multivariable logistic regression analyses were used to assess the predictive ability of genetic and lifestyle risk factors on incident obesity and type 2 diabetes by calculating the AUC.Results
The predictive accuracy of lifestyle risk factors was similar to that yielded by genetic information for incident type 2 diabetes (AUC 75% and 74%, respectively) and obesity (AUC 68% and 73%, respectively) in models adjusted for age, age(2) and sex. The addition of genetic information to the lifestyle model significantly improved the prediction of type 2 diabetes (AUC 80%; p?=?0.0003) and obesity (AUC 79%; p?Conclusions/interpretationThese findings illustrate that lifestyle and genetic information separately provide a similarly high degree of long-range predictive accuracy for obesity and type 2 diabetes.
SUBMITTER: Poveda A
PROVIDER: S-EPMC4742501 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Poveda Alaitz A Koivula Robert W RW Ahmad Shafqat S Barroso Inês I Hallmans Göran G Johansson Ingegerd I Renström Frida F Franks Paul W PW
Diabetologia 20151201 3
<h4>Aims/hypothesis</h4>We compared the ability of genetic (established type 2 diabetes, fasting glucose, 2 h glucose and obesity variants) and modifiable lifestyle (diet, physical activity, smoking, alcohol and education) risk factors to predict incident type 2 diabetes and obesity in a population-based prospective cohort of 3,444 Swedish adults studied sequentially at baseline and 10 years later.<h4>Methods</h4>Multivariable logistic regression analyses were used to assess the predictive abili ...[more]