The increase in marital status differences in mortality up to the oldest age in seven European countries, 1990–99

We investigate mortality differentials by marital status among older age groups using a database of mortality rates by marital status at ages 40 and over for seven European countries with 1 billion person-years of exposure. The mortality advantage of married people, both men and women, continues to increase up to at least the age group 85–89, the oldest group we are able to consider. We find the largest absolute differences in mortality levels between marital status groups are at high ages, and that absolute differentials are: (i) greater for men than for women; (ii) similar in magnitude across countries; (iii) increase steadily with age; and (iv) are greatest at older age. We also find that the advantage enjoyed by married people increased over the 1990s in almost all cases. We note that results for groups such as older divorced women need to be interpreted with caution.     

Six for Lunch: A Dining Option for Residents with Dementia in a Special Care Unit

Recent research has focused on the design of special care units for residents with dementia, often identifying the social benefits of residentially scaled kitchen and dining areas. This qualitative case study examines how the environmental design features of two dining settings in one special care unit impact residents’ patterns of socialization and interaction at meal times. The first setting is a central dining room for 50 to 60 residents. The second setting is a small office with a residentially scaled kitchen, where once a week, the activity director invites six residents for lunch once a week. Within an ecological theoretical framework, the study findings reveal that, while mealtimes in both settings are highly anticipated, it is the complex relational ties between the operational, managerial, and environmental features of the settings which determine residents’ social interaction and satisfaction with their mealtime experiences.     

The spread of “big box” retail firms and spatial stratification

Large “big box” retail firms, including general merchandisers (e.g., Walmart and Target) as well as “category killers” (e.g., Home Depot and Toys “R” Us), have spread rapidly across the United States over the past 4 decades. These firms have been lauded for their presumed consumer benefits linked to expansive product selections and discount prices. They have also been criticized for their perceived negative effects on locally owned businesses, jobs, and wages. We provide an overview of the existing literature and point to promising directions for the development of theory and research on this topic. We, in this article, highlight the importance of this shift in economic organization and encourage sociologists to critically examine the stratification consequences of the rise and spread of these firms.     

Closing the Loophole: A Case Study of Organizing for More Equitable and Affordable Access to Health Care in San Francisco

This paper presents in-depth case study of a successful hybrid political and community organizing campaign to ensure equitable access to health care through the perspective of a grassroots San Francisco community-based organization, the Chinese Progressive Association (CPA), which has been organizing low-income Chinese immigrants for over four decades. First, it outlines the Health Care Security Ordinance (HCSO), which, since its passage in 2006, has established a near-universal health care access program, helping to make health care accessible and affordable to individuals living and working in San Francisco. Then it presents the campaign to save the HCSO, focusing on CPA’s participation in the HCSO coalition. Finally, it discusses health care as it relates to the San Francisco’s affordability crisis and the political economic context in which it is taking place. Despite the limitations inherent in small case studies like this one, it nevertheless provides a valuable opportunity to better understand how one politically progressive city attempted to address the problem of grossly inequitable health care access through the lens of community organizing, advocacy, and coalition building. San Francisco, like many major American cities today, is being confronted with rapid gentrification and growing economic inequality—the backdrop to the HCSO. Through innovative experiments in social responsibility like the HCSO, however, the city has made leaps in health care access. It concludes with lessons learned from local organizing and advocacy to save the HCSO as these may inform other local efforts to promote health care for all.     

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%).     

Adult protection and ‘intimate citizenship’ for people with learning difficulties: empowering and protecting in light of the No Secrets review

The government are consulting on the introduction of legislation to give professionals powers to enter the homes of ‘vulnerable adults’ where abuse is suspected and remove the ‘victim’ without their consent . This article considers the consequences of such legislation for the ‘intimate citizenship’ of people with learning difficulties who have capacity to consent to sexual relationships. Proposals of the consultation are considered in terms of their practical relevance, finding that changes can be made with better guidance, resources, policy implementation and a sound evidence base for adult protection. A case is made that proposals contravene human rights, mental capacity laws and the ethos of personalisation, increasing the focus on risk in practice. An ecological model of vulnerability is supported, which offers an approach that can prevent sexual abuse through empowerment without the need for new legislation.     

Numerical solution of optimal allocation problems in stratified sampling under box constraints

Modern sampling designs in survey statistics, in general, are constructed in order to optimize the accuracy of estimators such as totals, means and proportions. In stratified random sampling a variance minimal solution was introduced by Neyman and Tschuprov. However, practical constraints may lead to limitations of the domain of sampling fractions which have to be considered within the optimization process. Special attention on the complexity of numerical solutions has to be paid in cases with many strata or when the optimal allocation has to be applied repeatedly, such as in iterative solutions of stratification problems. The present article gives an overview of recent numerical algorithms which allow adequate inclusion of box constraints in the numerical optimization process. These box constraints may play an important role in statistical modeling. Furthermore, a new approach through a fixed point iteration with a finite termination property is presented.