Evaluation of association between childhood obesity and depression: A systematic literature review

Obesity has become a major public health concern throughout the world. Both developing as well as developed countries have been facing the consequences of obesity. [1, 2] According to World Health Organization, worldwide prevalence of overweight among adults was 1.6 billion and that of obesity was 400 million by the end of year 2005. At the same time, around 20 million children of less than 5 years of age were overweight worldwide. [3] ^ From amongst the obese children, around 15% of children manifest symptoms of depression before 18 years of age as compared to non-obese children of the same age group. Approximately 3-5% of these obese individuals develop major depressive disorders (MDD). [4, 5] The incidence of depression increases markedly as the child reaches puberty. The risk of persistent depression in childhood as well as in adulthood is two to four times higher if the child is obese as compared to those depressed adult individuals who are not obese in their childhood. [6, 7] ^ This paper will review the scientific literature concerning the association between childhood obesity and depression. ^

Validity of using item response theory to analyze data from the Work Limitations Questionnaire

The Work Limitations Questionnaire (WLQ) is used to determine the amount of work loss and productivity which stem from certain health conditions, including rheumatoid arthritis and cancer. The questionnaire is currently scored using methodology from Classical Test Theory. Item Response Theory, on the other hand, is a theory based on analyzing item responses. This study wanted to determine the validity of using Item Response Theory (IRT), to analyze data from the WLQ. Item responses from 572 employed adults with dysthymia, major depressive disorder (MDD), double depressive disorder (both dysthymia and MDD), rheumatoid arthritis and healthy individuals were used to determine the validity of IRT (Adler et al., 2006).^ PARSCALE, which is IRT software from Scientific Software International, Inc., was used to calculate estimates of the work limitations based on item responses from the WLQ. These estimates, also known as ability estimates, were then correlated with the raw score estimates calculated from the sum of all the items responses. Concurrent validity, which claims a measurement is valid if the correlation between the new measurement and the valid measurement is greater or equal to .90, was used to determine the validity of IRT methodology for the WLQ. Ability estimates from IRT were found to be somewhat highly correlated with the raw scores from the WLQ (above .80). However, the only subscale which had a high enough correlation for IRT to be considered valid was the time management subscale (r = .90). All other subscales, mental/interpersonal, physical, and output, did not produce valid IRT ability estimates.^ An explanation for these lower than expected correlations can be explained by the outliers found in the sample. Also, acquiescent responding (AR) bias, which is caused by the tendency for people to respond the same way to every question on a questionnaire, and the multidimensionality of the questionnaire (the WLQ is composed of four dimensions and thus four different latent variables) probably had a major impact on the IRT estimates. Furthermore, it is possible that the mental/interpersonal dimension violated the monotonocity assumption of IRT causing PARSCALE to fail to run for these estimates. The monotonicity assumption needs to be checked for the mental/interpersonal dimension. Furthermore, the use of multidimensional IRT methods would most likely remove the AR bias and increase the validity of using IRT to analyze data from the WLQ.^