For the current study, children under the age of
18 years were excluded from the analyses, leaving
a final sample size of 3949 adult patients. First,
we examined the distributions of various sociodemographic
and health-related characteristics for
the total sample. We also examined those distributions
by race/ethnicity and gender to determine
whether there were any significant differences
across groups. Group comparisons were made using
2 tests for categorical variables and t-tests for
continuous variables. We also conducted similar
bivariate analyses to examine the distribution of
weight-related measures, for the total sample and
also by race/ethnicity and gender.
Next we examined the distribution of various
comorbid conditions according to BMI category to
determine whether the burden of disease varied
significantly across weight categories. We also
examined the distribution of self-perceptions of
weight by BMI category to determine how accurately
overweight and obese patients perceived
their own weight status.
Finally, we conducted multiple logistic regression
modeling to examine the effects of several
sociodemographic and health factors on two outcomes
of interest: (a) weight loss attempt in the
past year, among overweight/obese patients; and
For the current study, children under the age of
18 years were excluded from the analyses, leaving
a final sample size of 3949 adult patients. First,
we examined the distributions of various sociodemographic
and health-related characteristics for
the total sample. We also examined those distributions
by race/ethnicity and gender to determine
whether there were any significant differences
across groups. Group comparisons were made using
2 tests for categorical variables and t-tests for
continuous variables. We also conducted similar
bivariate analyses to examine the distribution of
weight-related measures, for the total sample and
also by race/ethnicity and gender.
Next we examined the distribution of various
comorbid conditions according to BMI category to
determine whether the burden of disease varied
significantly across weight categories. We also
examined the distribution of self-perceptions of
weight by BMI category to determine how accurately
overweight and obese patients perceived
their own weight status.
Finally, we conducted multiple logistic regression
modeling to examine the effects of several
sociodemographic and health factors on two outcomes
of interest: (a) weight loss attempt in the
past year, among overweight/obese patients; and
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