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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Whole Sample | Female, caucasians, aged 18-65 years |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | No Intervention |
|
| Measure | Description | Time Frame |
|---|---|---|
| Body Mass Index | September - November 2018 |
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Inclusion Criteria:
Exclusion Criteria:
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European Citizen Aged between 18-65 years Female. Caucasian
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St Mary's University | London | TW14SX | United Kingdom |
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| ID | Term |
|---|---|
| D009765 | Obesity |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |