Table 4.
Predictors of size underestimation (feeling ‘about the right weight’ or ‘too light’) among overweight/obese adolescents (multivariate analysisc)
| Whole sample (n =236) | Boys (n = 104) | Girls (n =132) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| %a (n) | OR [95% CI] | P | %a (n) | OR [95% CI] | P | %a (n) | OR [95% CI] | P | |
| Age (years)b | - | 0.930 [0.760–1.137] | .480 | - | 1.096 [0.815–1.472] | .545 | - | 0.837 [0.625–1.120] | .232 |
| Gender | |||||||||
| Female | 47.7 (63) | 1.00 | - | - | - | - | - | - | |
| Male | 52.9 (55) | 1.366 [0.790–2.362] | .265 | - | - | - | - | - | - |
| Ethnicity | |||||||||
| European | 47.2 (25) | 1.00 | 60.9 (14) | 1.00 | 36.7 (11) | 1.00 | |||
| Melanesian | 52.8 (53) | 1.082 [0.555–2.107] | .817 | 50.7 (36) | 0.640 [0.228–1.791] | .395 | 54.4 (49) | 1.406 [0.540–3.659] | .485 |
| Polynesian | 36.4 (8) | 0.844 [0.272–2.617] | .769 | 50.0 (5) | 0.847 [0.157–4.568] | .847 | 25.0 (3) | 0.748 [0.142–3.954] | .733 |
| SES | |||||||||
| Higher | 38.0 (19) | 1.00 | 35.0 (7) | 1.00 | 40.0 (12) | 1.00 | |||
| Intermediate | 47.6 (30) | 1.562 [0.695–3.511] | .281 | 48.5 (16) | 2.144 [0.645–7.124] | .213 | 46.7 (14) | 1.296 [0.396–4.237] | .668 |
| Lower | 56.1 (69) | 2.068 [1.005–4.254] | .048 | 62.7 (32) | 4.113 [1.276–13.255] | .018 | 51.4 (37) | 1.353 [0.517–3.543] | .538 |
| Area of residence | |||||||||
| Urban | 39.5 (15) | 1.00 | 52.4 (11) | 1.00 | 23.5 (4) | 1.00 | |||
| Rural | 52.0 (103) | 1.491 [0.658–3.381] | .339 | 53.0 (44) | 0.826 [0.275–2.478] | .733 | 51.3 (59) | 2.773[0.711–10.812] | .142 |
| Weight status | |||||||||
| Obese | 34.9 (52) | 1.00 | 41.5 (26) | 1.00 | 28.9 (25) | 1.00 | |||
| Overweight | 58.7 (50) | 2.975 [1.667–5.311] | <.001 | 60.3 (25) | 2.169 [0.926–5.082] | .075 | 57.5 (26) | 3.774 [1.649–8.636] | .002 |
OR odds ratio, CI confidence interval, SES socioeconomic status
aIndicates the percentage (and effective) of overweight participants in each group perceiving themselves to be about the right weight or too light
bEntered into the model as a continuous variable
cVariables in the models are: age (years), gender, ethnicity, SES, residence and weight status category