Table 3.
Characteristic | Duration (Months, n = 307) | p-Value 1 Sig.2 | |||
---|---|---|---|---|---|
<4 (n = 139) | ≥4 (n = 168) | ||||
Demographics | Age (years) | 15 to 17 | 0.7% (n = 1) | 0.0% (n = 0) | 0.270 |
18 to 34 | 77.0% (n = 107) | 72.6% (n = 122) | |||
35 and over | 11.5% (n = 16) | 17.9% (n = 30) | |||
Not Reported | 10.8% (n = 15) | 9.5% (n = 16) | |||
Race/Ethnicity | Other | 10.1% (n = 14) | 16.7% (n = 28) | 0.099 | |
Non-Hispanic White | 89.9% (n = 125) | 83.3% (n = 140) | |||
Not Reported | 0.0 % (n = 0) | 0.0 % (n = 0) | |||
Employment | Status | Full time | 25.2% (n = 35) | 29.2% (n = 49) | 0.773 |
Part time | 28.8% (n = 40) | 28.0% (n = 47) | |||
Other | 46.0% (n = 64) | 42.3% (n = 71) | |||
Not Reported | 0.0% (n = 0) | 0.6% (n = 1) | |||
Industry | Accommodation | 23.8% (n = 19) | 16.0% (n = 15) | 0.650 | |
Healthcare | 27.5% (n = 22) | 29.8% (n = 28) | |||
Retail | 16.3% (n = 13) | 18.1% (n = 17) | |||
Other | 32.5% (n = 26) | 36.2% (n = 34) | |||
During Pregnancy | Hoping to Feed | Combination | 42.4% (n = 59) | 23.8% (n = 40) | 0.000 * |
Breastfeeding only | 50.4% (n = 70) | 73.8% (n = 124) | |||
Formula only | 4.3% (n = 6) | 0.6% (n = 1) | |||
Not Reported | 2.9% (n = 4) | 1.8% (n = 3) | |||
Received Information | Yes | 96.4% (n = 134) | 97.6% (n = 164) | 0.736 | |
No | 3.6% (n = 5) | 2.4% (n = 4) | |||
Not Reported | 0.0 % (n = 0) | 0.0 % (n = 0) | |||
Reason for Stopping Breastfeeding | Physiological | Yes | 86.6% (n = 116) | 64.7% (n = 99) | 0.000 * |
No | 13.4% (n = 18) | 35.3% (n = 54) | |||
Other Commitments | Yes | 23.1% (n = 31) | 22.2% (n = 34) | 0.888 | |
No | 76.9% (n = 103) | 77.8% (n = 119) | |||
Met Goal | Yes | 1.5% (n = 2) | 28.1% (n = 43) | 0.000 * | |
No | 98.5% (n = 132) | 71.9% (n = 110) |
1p-Value was based on Fisher’s exact tests or Fisher’s exact tests with Freeman and Halton’s adaptations for RxC tables. 2 Statistical significance (*) was based on an alpha of 0.05 with Bonferroni correction based on the number of comparisons within each category or domain (with no correction for demographic variables). A Monte Carlo estimation with 10,000,000 samples was used to calculate Fisher–Freeman–Halton statistics for tables with industry. Estimates were considered marginally significant (^) if they met the alpha criteria of 0.05 but were no longer significant after Bonferroni correction.