Migration Planning Among Female Prospective Labour Migrants from Nepal: A Comparison of First‐Time and Repeat‐Migrants

As international female labour migration has increased, so too have efforts to prevent the exploitation of labour migrants. However, evidence to underpin prevention efforts remains limited, with little known about labour migrants’ migration planning processes. Using data from a survey of female prospective labour migrants from Nepal, this article compares socio‐demographics and migration‐planning processes between first‐time and repeat‐migrants. We identified several factors which might increase repeat‐migrants’ vulnerability to exploitation during the migration process, or obstruct their engagement in pre‐migration interventions: more rapid migration planning than first‐time migrants; lower involvement in community groups; and a perception that they already have the knowledge they need. Only one‐third of repeat‐migrants planned to go to the same destination and 42 per cent to work in the same sector as previously. With repeat‐migration a common livelihoods strategy, it is crucial that interventions are guided by evidence on the needs of both first‐time‐ and repeat‐migrants.     

Choice of Parametric Accelerated Life and Proportional Hazards Models for Survival Data: Asymptotic Results

We discuss the impact of misspecifying fully parametric proportional hazards and accelerated life models. For the uncensored case, misspecified accelerated life models give asymptotically unbiased estimates of covariate effect, but the shape and scale parameters depend on the misspecification. The covariate, shape and scale parameters differ in the censored case. Parametric proportional hazards models do not have a sound justification for general use: estimates from misspecified models can be very biased, and misleading results for the shape of the hazard function can arise. Misspecified survival functions are more biased at the extremes than the centre. Asymptotic and first order results are compared. If a model is misspecified, the size of Wald tests will be underestimated. Use of the sandwich estimator of standard error gives tests of the correct size, but misspecification leads to a loss of power. Accelerated life models are more robust to misspecification because of their log-linear form. In preliminary data analysis, practitioners should investigate proportional hazards and accelerated life models; software is readily available for several such models.     

Turning back the ticking clock: the effect of increased affordability of assisted reproductive technology on women’s marriage timing

This paper exploits variation in the mandated insurance coverage of assisted reproductive technology (ART) across US states and over time to examine the connection between increased access to ART and female marriage timing. Since ART increases the probability of pregnancy for older women of reproductive age, greater access to ART will make marriage delay less costly for younger single women of reproductive age. Linear probability models are estimated to investigate the effects of ART state insurance mandates on changes in marital status of women in different age groups using the 1977–2010 Current Population Survey. Results show that greater access to ART is associated with marital delay for white (but not for black) women: white women in states with an ART insurance mandate are significantly less likely to marry between the 20–24, 25–29, and 30–34 age ranges, but significantly more likely to marry between the 30–34 and 35–39 age ranges.     

Subnational Location Capital: The Role of Subnational Institutional Actors and Socio‐spatial Factors on Firm Location

Firms do not simply locate, but rather seek to accrue location‐based advantages such as knowledge, market insidership and resource utilization. Adopting the lens of social capital, this paper explores how subnational institutional actors facilitate location capital for firms. Using qualitative case study analysis of six multinational companies (MNCs), we highlight the important role of subnational institutional actors in fostering three dimensions of subnational location capital – structural, relational and cognitive. We show that subnational location capital, defined as the economic and social assets accessible through relationships within a subnational location, enable firms to derive advantages via subnational engagement. These findings contribute to the growing literature on the dynamic interaction of firms with subnational location, particularly the nuanced role of subnational institutional actors with MNCs.     

Prevalence of Sexual Abuse in Childhood: Some Critical Methodological Reflections

This article attempts to analyze the prevalence rates of sexual abuse in childhood reported in comparative empirical studies, giving an overview of a selection of representative studies reporting high rates of abuse and comparing it to an overview of studies reporting lower rates. Extremely discrepant rates of childhood sexual abuse are reported in a number of empirical studies conducted in this field over the past 26 years, particularly those looking beyond prevalence to study the links between this type of trauma and future motherhood. To shed light on the disparities in the reported prevalence rates, the article reviews the principal methodological biases that have contaminated the findings. The authors then offer several suggestions for improvement that might be implemented in future studies.     

North Americans' Attitudes Toward Illegal Drugs

Public opinion polls conducted from 1969 to 2003 found a variety of opinions on the use, possession, and legalization of marijuana. Public opinion about legalizing marijuana use is increasing, but it is also increasing toward harsher penalties for those who possess a small amount of marijuana. Public opinion regarding the legalization of illegal drugs appears to be influenced by the times. The majority of Americans increasingly believe that the country has made some progress in dealing with the problems of illegal drugs, but Americans are also reporting more difficulty within their families related to marijuana. This article examines trends based in public opinion polls on the use of marijuana in the United States and Canada and discusses the social and political history of marijuana and the biophysical effects, medical uses, definitions, and previous research related to marijuana.     

Media, ‘Fat Panic’ and Public Pedagogy: Mapping Contested Terrain

Discourses regarding a ‘global obesity crisis’ and alternative frames (e.g. weight‐inclusive approaches to health) have proliferated through various media of communication. These media range from traditional print and visual formats (e.g. newspapers and television shows) to digital media (e.g. Twitter, Facebook, YouTube), which enable different publics to produce, and not just consume, text, images and other data relating to the body. Reflecting a sociological understanding of educational practices as extending beyond formal schooling, mediated obesity discourse and counter‐movements have also been conceptualised as public pedagogies, which instruct people how to relate to their own and other's bodies, health and subjectivities. This article examines what is critically known about various media at a time when governments and agencies are reinvigorating the global war on obesity, with populations being ‘advised’ to become and remain conscientious weight watchers. In conclusion, the article underscores the salience of social studies of the media when seeking to rethink obesity, incorporating critical reference to moral panic theory and the need to better understand what media can ‘do’ as enactments of public pedagogy.     

A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests

Humans are continuously exposed to chemicals with suspected or proven endocrine disrupting chemicals (EDCs). Risk management of EDCs presents a major unmet challenge because the available data for adverse health effects are generated by examining one compound at a time, whereas real‐life exposures are to mixtures of chemicals. In this work, we integrate epidemiological and experimental evidence toward a whole mixture strategy for risk assessment. To illustrate, we conduct the following four steps in a case study: (1) identification of single EDCs (“bad actors”)—measured in prenatal blood/urine in the SELMA study—that are associated with a shorter anogenital distance (AGD) in baby boys; (2) definition and construction of a “typical” mixture consisting of the “bad actors” identified in Step 1; (3) experimentally testing this mixture in an in vivo animal model to estimate a dose–response relationship and determine a point of departure (i.e., reference dose [RfD]) associated with an adverse health outcome; and (4) use a statistical measure of “sufficient similarity” to compare the experimental RfD (from Step 3) to the exposure measured in the human population and generate a “similar mixture risk indicator” (SMRI). The objective of this exercise is to generate a proof of concept for the systematic integration of epidemiological and experimental evidence with mixture risk assessment strategies. Using a whole mixture approach, we could find a higher rate of pregnant women under risk (13%) when comparing with the data from more traditional models of additivity (3%), or a compound‐by‐compound strategy (1.6%).     

Challenges of Using Secondary Data to Study Rural Caregiving within the United States

When health fails, rural residents often turn to informal caregivers for assistance and are more likely to do so than those living in urban areas. Scholarship is clear in demonstrating the many burdens that accrue to those providing informal care. Furthermore, caregivers in rural areas face amplified health disparities and stressors, and limited access to resources and formalized supports. Yet, the study of informal caregiving within geographic context is made difficult by the limitations inherent in existing secondary data sources. In this report, we discuss three available data sources that provide information about US caregivers: the National Family Alliance Caregiving in the US Survey; Health and Retirement Survey; and National Survey of Midlife Development in the United States. These datasets illustrate common challenges of studying rural caregiving, including how to define rural residence, issues with data access, and difficulties attaining an adequate sample size. After reviewing these methodological issues, we identify two additional data sources that while promising, suffer from challenges of their own. We conclude by offering suggestions about how to capture the unique experiences of rural caregivers beyond the use of secondary data.