Is obesity stigmatizing? Body weight, perceived discrimination, and psychological well-being in the United States

We investigate the frequency and psychological correlates of institutional and interpersonal discrimination reported by underweight, normal weight, overweight, obese I, and obese II/III Americans. Analyses use data from the Midlife Development in the United States study, a national survey of more than 3,000 adults ages 25 to 74 in 1995. Compared to normal weight persons, obese II/III persons (body mass index of 35 or higher) are more likely to report institutional and day-to-day interpersonal discrimination. Among obese II/III persons, professional workers are more likely than nonprofessionals to report employment discrimination and interpersonal mistreatment. Obese II/III persons report lower levels of self-acceptance than normal weight persons, yet this relationship is fully mediated by the perception that one has been discriminated against due to body weight or physical appearance. Our findings offer further support for the pervasive stigma of obesity and the negative implications of stigmatized identities for life chances.     

Predicting Maternal Resolution of Preterm Birth at One Month Corrected Age

Early maternal resolution with preterm birth was assessed at one month corrected age (CA), and potential maternal and infant characteristics that may be associated with early resolution were examined. Fifty‐five mothers of preterm infants (≤34 weeks) participated. Data regarding pregnancy, prenatal risk, delivery, infant's medical risk, maternal well‐being status, and infant's early developmental status were collected. Resolution was examined using the Reaction to Diagnosis Interview (RDI). A total of 38.2% of the mothers were classified as resolved. Only completion of antenatal corticosteroids (ACS) treatment and high prenatal risk significantly predicted maternal resolution. Early maternal resolution of preterm birth is associated with early knowledge regarding the preterm birth.     

The use of client surrogates in determining the reliability of a standardized assessment instrument in multiple, diverse settings

Since its introduction in 1980, the widely-used Addiction Severity Index has been subjected to extensive validity and reliability studies. Reliability procedures have commonly entailed test–retest and multiple judge video reviews, all within controlled environments. The following study uses a method that differs substantially from conventional reliability assessment by employing trained, professional actors as client surrogates to examine the reliability of the instrument when administered in the field, in naturalistic, diverse agency settings. This article details this method, addressing the question, to what extent did this method produce consistent stimuli to enable the measurement of reliability?     

Book Review

Abstract

Kim Witte, Gary Meyer, and Dennis Martell. Effective Health Risk Messages: A Step-by-Step Guide: Thousand Oaks, CA: Sage; 2000. 216 pps; paper, $24.95, cloth, $64.95.     

A method for diagnosing and planning the treatment of adolescent drug abusers (the Adolescent Drug Abuse Diagnosis [ADAD] instrument)

There is a need for a diagnostic method and an instrument appropriate for adolescent drug abuse clients, that permits the assignment of clients to the most appropriate treatment setting, provides the basis for individualized treatment planning, and facilitates comparability across research studies. The development of the Adolescent Drug Abuse Diagnosis (ADAD), a 150-item instrument with a structured interview format, modeled after the Addiction Severity Index (ASI) (which is for adults), is described. The ADAD produces a broad-spectrum comprehensive evaluation of the client, the interviewer's ten-point severity ratings, and composite scores for each of nine life problem areas that are often relevant to the treatment needs of adolescent drug abuse clients. A series of validity and reliability tests are described. The characteristics of the standardization sample (N = 1,042), and the comparison of the characteristics of the three subsamples (outpatient, residential or non-hospital, and inpatient) are also presented.     

Estimation of a standard measuring error by repeated measurements and sortings

A sorting-and-measuring machine (SMM) measures and sorts (classifies) on-line produced items into several groups according to their size. The measuring devices of the SMM perceive the actual item size with a random error ε and classify the item as being smaller than b iff z+ε<b. Here ε is a normal zero-mean r.v. with unknown standard deviation σ which is the main parameter characterizing the precision and technical condition of an SMM. The paper gives the following method of estimating σ. N₀ items are measured and N₁ of them are recognized by the SMM as belonging to the group a<z≤b. These N₁ items are sorted again and N₂ of them return to this group, these are sorted again, and so on. The estimation of σ is based on the statistics N_m/N_n. Moments of the ratio statistics N_m/N_n and their distributional properties are investigated. It turns out that the expected value of N_m/N_n depends almost linearly on σ which allows us to construct ‘almost’ unbiased estimators of type $\text{σ}\text{?}{}_{\mathrm{mn}}\text{=A}\textcolor{red}{}\text{N}{}_{\mathrm{m}}\text{/N}{}_{\mathrm{n}}\text{+B}$ with good propert including robustness with respect to the distribution of item size. Convex combinations of $\text{σ}\text{?}{}_{\mathrm{mn}}$ statistics are considered to obtain an estimator with minimal variance.     

DISSECTING THE MONTY HALL ANOMALY

We assess competing explanations of irrational behavior in the Monty Hall problem by creating new variants of the problem. Some variants employ a feature that automates the merging of probabilities, thus rendering transparent the probabilistic advantage of the rational choice. That feature also enables systematic variation in informational asymmetry, and in ordering of actions. Data from 77 subjects, each of whom makes 30 binary decisions, indicate that automated merging raises the fraction of rational choices from around 40% to over 80%. Other features examined have much less impact, indicating the importance of a Bayesian updating failure. (JEL C91, D02, D81, D83)