Drop-Out Analysis Sample Clauses

Drop-Out Analysis. We investigate whether the act of dropping out of the study was associated with demographic characteristics or psychological characteristics by performing logistic regression with dropping out as the event of interest. The first model looks at demographic characteristics. We find that marital status, household size, annual income, age, diabetes, and current weight satisfaction are statistically significantly associated with drop-out. A couple of interesting results to point out from the resulting Odds Ratios (OR) listed below are those of Marital Status with an OR of 1.42 and having diabetes with a corresponding OR of 3.53. Table 11. Dropout Analysis, Demographic Characteristics Variable OR 95% CI p-valu e Marital Status 1.42 (1.19,1.69) < 0.01 Household Size 0.88 (0.79,0.97) 0.01 Annual Income 0.86 (0.76,0.98) 0.02 Age 0.92 (0.89,0.95) < 0.01 Diabetes 3.53 (1.50,8.30) < 0.01 Current Weight Sat isfact ion 0.23 (0.10,0.54) < 0.01 Next, we investigate whether dropping out was associated with psychological characteristics. We find that drop out was statistically significantly associated with EBBS Total, JHP Total, Anger Expression (hold in), and Anger Expression (lash out). The corresponding OR are listed in the table below. Table 12. Dropout analysis, Psychological Characteristics Variable OR 95% CI p-valu e EBBS Total 0.99 (0.90,1.00) 0.004 J HP Total 0.33 (0.21,0.52) < 0.001 Anger Expression (Hold in) 0.91 (0.87,0.96) < 0.001 Anger Expression (Lash out) 1.08 (1.03,1.15) < 0.001