Medicalizing reproduction: the pill and home pregnancy tests

This article explores one chapter in the history of medicalization through a focused study of oral contraceptives and home pregnancy tests. Each commercially successful in developed nations and both decades old (the Food and Drug Administration approved oral contraceptives in 1960 and home pregnancy tests in 1977), these reproductive technologies created the first pharmaceutical mega-market comprised of young, healthy, sexually active, heterosexual women. Examining the discrete, but interconnected, histories of both products, this article explores how the Pill's popularity and profitability medicalized and feminized contraception, encouraging pharmaceutical companies to invest in the development of patented variants of hormonal contraception and creating a means by which the under-used Pap smear could be introduced to a population that had previously resisted it. Home pregnancy tests, too, had unintended consequences. Designed to shield the detection of a pregnancy from a "medical gaze," the test's widespread use encouraged women to become medical patients at an earlier stage of their pregnancy.     

Functional disability among chronic pain patients receiving long-term opioid treatment

This study of 2,163 adult chronic, non-cancer-pain, long-term opioid therapy patients examines the relationship of depression to functional disability by measuring average pain interference, activity limitation days, and employment status. Those with more depression symptoms compared to those with fewer were more likely to have worse disability on all 3 measures (average pain interference score >5, OR = 5.36, p < .0001; activity limitation days ≥ 30, OR = 4.05, p < .0001; unemployed due to health reasons, OR = 4.06, p < .0001). Depression might play a crucial role in the lives of these patients; identifying and treating depression symptoms in chronic pain patients should be a priority.     

Youth emancipation and perceived job insecurity of parents and children

We test whether job insecurity of parents and children affect children’s moving-out decisions. Macroeconomic estimates for 13 European countries over 1983–2004 show that coresidence increases by 1.7 percentage points (PP) following a 10 PP rise in the share of youths perceiving their job to be insecure and declines by 1.1 PP following the same increment in insecurity for older workers. Microeconometric evidence for Italy in the mid-1990s shows that the probability of moving out increases by about half a percentage point for a one-standard-deviation increase in paternal insecurity and by one-third of a percentage point for a one-standard-deviation decrease in children’s insecurity.     

Self-Reported Personal Well-Being of Youth Accessing Intensive Mental Health Treatment

Normative samples have been shown to rate their personal wellbeing (PWB) as positively high and high PWB is associated with many enduring benefits. Cummins (J Happiness Stud 10(6):1–17, 2009) has suggested that PWB has an equilibrium that is set at a rather high positive state and maintained through psychological mechanisms he termed homeostatic protected mood (HPM). Investigators who have explored PWB and mental health disorders have often focused on schizophrenia in adult populations, with varied results, and scant attention has been paid to clinical samples of youth with emotional and/or behavioral disorders. The purpose for this report was to explore the level of PWB reported by a subsample of youth who accessed residential treatment (n = 30) and intensive home based treatment (n = 33) at 12–18 months post-discharge, and explore whether clinical variables could predict PWB. Many youth reported high PWB despite experiencing continued challenges in symptoms and psychosocial functioning. Demographic and clinical characteristics did not predict participants’ PWB scores, lending support for the HPM theory with this sample of youth with emotional and behavioral disorder.     

Collecting text messages from college students: Evaluating a novel methodology

Social interaction, particularly in older adolescents, increasingly involves computer‐mediated communication. Although studies of public computer‐mediated communication are increasingly common, studies of private text messaging remain rare. As approaches for obtaining such data evolve with technological advances, developmental scientists need designs in which to use such approaches that reduce sampling biases in both participants and text messages. In this study (n = 854; 46% male; 22% African American, 60% European American), we examined selection biases in the participant sample (i.e., factors associated with actual participation), procedural biases in the participant sample (i.e., factors related to failed data capture due to technological or procedural issues), and selection biases in the sample of text messages (i.e., based on self‐reported reasons for texting). Findings from our study suggest that studying human interaction directly through analysis of text message data is not only feasible, but also may be successfully undertaken with minimal biases regarding sample selection and text message selection among those who are engaged in research and engaged in text messaging outside of the study context. However, biases may occur depending on the type of platform (iPhone vs. Android) used by participants for texting.     

Quantitative Storytelling in the Making of a Composite Indicator

The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell ‘more than one story’ and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank’s Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital.