Obesity
Conditions
Brief summary
Childhood obesity leads to adulthood obesity, demonstrated in many retrospective and longitudinal studies. Genetics as a predictor of obesity is less established. Morandi et al, (2012) assessed whether lifestyle and genetic factors can be used to predict childhood obesity, concluding that genetics had minimal predictive effect. More recently Seyednasrollah, (2017) demonstrated that genetic information, when alongside clinical factors for cardiovascular disease, increased the predictive accuracy of obesity risk in adults. This study aims to investigate if known lifestyle and genetic risk factors are associated with BMI and if they can be used as predictors of overweight/obesity in adults.
Interventions
No Intervention
Sponsors
Study design
Eligibility
Inclusion criteria
* European Citizen. * Aged between 18-65 years. * Female. * Caucasian
Exclusion criteria
* Currently following a diet or weight loss plan or have not been for over 6 months of the previous year. * Suffering from diabetes (type I or II). * Cancer, or have had cancer in the past.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Body Mass Index | September - November 2018 |
Countries
United Kingdom