Adult Weight, Genetics and Lifestyle Factors
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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|
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Whole Sample Female, caucasians, aged 18-65 years |
Other: No intervention
No Intervention
|
Outcome Measures
Primary Outcome Measures
- Body Mass Index [September - November 2018]
Eligibility Criteria
Criteria
Inclusion Criteria:
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European Citizen.
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Aged between 18-65 years.
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Female.
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Caucasian
Exclusion Criteria:
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Currently following a diet or weight loss plan or have not been for over 6 months of the previous year.
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Suffering from diabetes (type I or II).
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Cancer, or have had cancer in the past.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | St Mary's University | London | United Kingdom | TW14SX |
Sponsors and Collaborators
- St Mary's University College
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- SMEC_2017-18_141