Table 1. Participant characteristics.
| Overall (n=434) | Female (n=311) | Male (n=123) | ||||||
|---|---|---|---|---|---|---|---|---|
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| Mean | SD | Mean | SD | Mean | SD | P-valuea | ||
| Age | 52.4 | 11.6 | 51.2 | 11.0 | 55.6 | 12.5 | 0.0007 | |
| Weight (kgs) | 77.7 | 16.6 | 73.3 | 14.8 | 89.0 | 15.6 | <0.0001 | |
| BMI | 27.0 | 4.9 | 26.6 | 5.1 | 27.8 | 4.6 | 0.0250 | |
| Weight Change From Max (kgs) | 34.2 | 18.5 | 34.2 | 18.5 | 34.3 | 18.6 | 0.9474 | |
| Weight Maintenance Duration (years) | 7.8 | 5.2 | 7.8 | 5.1 | 7.6 | 5.5 | 0.6506 | |
| Gained > 5 lbs in past year | 159 | 36.6 | 115 | 37.0 | 44 | 35.8 | 0.8143 | |
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| N | % | N | % | N | % | |||
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| Race | 0.8333 | |||||||
| White/Caucasian | 402 | 92.6 | 288 | 92.6 | 114 | 92.7 | ||
| Hispanic | 8 | 1.8 | 6 | 1.9 | 2 | 1.6 | ||
| African American | 10 | 2.3 | 8 | 2.6 | 2 | 1.6 | ||
| Asian or Pacific Islander | 4 | 0.9 | 2 | 0.6 | 2 | 1.6 | ||
| Native American | 5 | 1.2 | 4 | 1.3 | 1 | 0.8 | ||
| Other | 4 | 0.9 | 2 | 0.6 | 2 | 1.6 | ||
| Prefer to not answer | 1 | 0.2 | 1 | 0.3 | 0 | 0.00 | ||
| Education | 0.0899 | |||||||
| High school graduate or less | 9 | 2.1 | 7 | 2.2 | 2 | 1.6 | ||
| Technical school or trade school graduate | 15 | 3.5 | 11 | 3.5 | 4 | 3.23 | ||
| Some college | 48 | 11.1 | 35 | 11.3 | 13 | 10.6 | ||
| Graduated from college | 117 | 27.0 | 87 | 28.0 | 30 | 24.4 | ||
| Some postgraduate work | 52 | 12.0 | 38 | 12.2 | 14 | 11.4 | ||
| Masters Degree (e.g., MBA, MA, MS) | 129 | 29.7 | 98 | 31.5 | 31 | 25.2 | ||
| Doctorate Degree (e.g., PhD, MD) | 64 | 14.8 | 35 | 11.3 | 29 | 23.6 | ||
| Marital Status | 0.3795 | |||||||
| Married | 286 | 65.9 | 197 | 63.3 | 89 | 72.4 | ||
| Separated | 6 | 1.4 | 4 | 1.3 | 2 | 1.6 | ||
| Divorced | 38 | 8.8 | 30 | 9.7 | 8 | 6.5 | ||
| Widowed | 16 | 3.7 | 12 | 3.9 | 4 | 3.3 | ||
| Unmarried, Living Together | 24 | 5.5 | 21 | 6.8 | 3 | 2.4 | ||
| Never Married | 64 | 14.8 | 47 | 15.1 | 17 | 13.8 | ||
Independent samples t-tests were used to compare females versus males continuous variables. Pearson Chi-Square tests were used to compare females versus males on categorical variables.