From: Mining characteristics of epidemiological studies from Medline: a case study in obesity
Covariates | Frequency | % |
---|---|---|
Age | 1,066 | 19.3 |
Gender | 631 | 11.4 |
Body mass index | 346 | 6.2 |
Smoking | 260 | 4.7 |
Education | 160 | 2.9 |
Race | 117 | 2.1 |
Physical activity | 108 | 1.9 |
Alcohol consumption | 83 | 1.5 |
Ethnicity | 70 | 1.2 |
Type 2 diabetes | 67 | 1.2 |
Race/ethnicity | 60 | 1.0 |
Obesity | 58 | 1.0 |
Waist circumference | 53 | 0.9 |
Income | 43 | 0.7 |
Hypertension | 42 | 0.7 |
Socioeconomic status | 39 | 0.7 |
Height | 36 | 0.6 |
Marital status | 33 | 0.6 |
Demographics | 32 | 0.5 |
Parity | 27 | 0.5 |
Smoking status | 25 | 0.5 |
Energy intake | 25 | 0.5 |
Lifestyle | 22 | 0.4 |
Educational level | 20 | 0.3 |
Birth weight | 20 | 0.3 |
Weight | 17 | 0.3 |
Maternal age | 17 | 0.3 |
Family history | 17 | 0.3 |
Exercise | 16 | 0.2 |
Depression | 15 | 0.2 |
Total energy intake | 14 | 0.2 |
Region | 13 | 0.2 |
Insulin resistance | 13 | 0.2 |
Occupation | 12 | 0.2 |
Family income | 12 | 0.2 |
Blood pressure | 12 | 0.2 |
Adiposity | 11 | 0.2 |
Social class | 10 | 0.1 |
Gestational age | 10 | 0.1 |
Area | 10 | 0.1 |