Research Article
Data Analysis and Computational Methods for Assessing Knowledge of Obesity Risk Factors among Saudi Citizens
Table 3
Association between several demographic variables and knowledge of risk factors for obesity among respondents.
| Variable | Poor | Good | value |
| Gender | | | 0.001 | Male | 43 (5.7%) | 705 (94.3%) | | Female | 18 (2.9%) | 603 (97.1%) | | Age | | | 0.007 | Less than 18 | 9 (11.8%) | 67 (88.2) | | 18-30 | 29 (4.8%) | 573 (95.2%) | | 30-40 | 13 (3.3%) | 381 (96.7%) | | 40 and more | 10 (3.4%) | 287 (96.6%) | | Marital status | | | 0.191 | Married | 34 (3.9%) | 837 (96.1%) | | Unmarried | 27 (5.4%) | 471 (94.6) | | Level of education | | | 0.001 | Primary and middle school | 8 (17.8%) | 37 (82.2%) | | Secondary school | 18 (8.4%) | 197 (91.2%) | | University student | 29 (3.1%) | 894 (96.9%) | | Postgraduate | 6 (3.2%) | 180 (96.8%) | | Work | | | 0.704 | Government employee | 27 (4.4%) | 589 (95.6%) | | Private work | 6 (3.4%) | 171 (96.6%) | | I do not work | 28 (4.9%) | 548 (95.1%) | |
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