The Centrality of Variability: How society shapes patterns of aging

Increasing variability is a hallmark of aging populations. Although demographic trends are often described in terms of average experiences, in this paper we argue that variability in the health experiences of older men and women is key to understanding aging. The variations in outcomes among older people are not merely nuisances obscuring the more salient averages and trends. The deviations from the mean are a central part of the story: the patterning of these variations reveals factors that influence health for everyone and indicates what sort of advances in healthy aging might be possible under optimal circumstances.Aging, demography

The CONSTANCES cohort, an epidemiological research infrastructure. Methods and results of the pilot phase

Background: prospective cohorts represent an essential design for epidemiological studies and allow for the study of the combined effects of lifestyle, environment, genetic predisposition, and other risk factors on a large variety of disease endpoints. The CONSTANCES cohort is intended to provide public health information and to serve as an epidemiological research infrastructure accessible to the epidemiologic research community. Although designed as a “general-purpose” cohort with very broad coverage, it will particularly focus on occupational and social determinants of health, and on chronic diseases and aging. Methods: the CON STANC ES cohort is designed as a randomly selected representative sample of French adults aged 18-69 years at inception; 200 000 subjects will be included over a five-year period. At inclusion, the selected subjects are invited to fill a questionnaire and to attend a Health Screening Center (HSC) for a comprehensive health examination: weight, height, blood pressure, electrocardiogram, vision, auditory, spirometry, and biological parameters; for those aged 45 years and older, a specific work-up of functional, physical, and cognitive capacities is performed. A biobank will be set up. The follow-up includes a yearly self-administered questionnaire, and a periodic visit to an HSC. Social and work-related events and health data are collected from the French national retirement, health and death databases. The data include social and demographic characteristics, socioeconomic status, life events, behaviors, and occupational factors. The health data cover a wide spectrum: self-reported health scales, reported prevalent and incident diseases, long-term chronic diseases and hospitalizations, sick-leaves, handicaps, limitations, disabilities and injuries, healthcare utilization and services provided, and causes of death. To take into account non-participation at inclusion and attrition throughout the longitudinal follow-up, a cohort of non-participants was set up and will be followed through the same national databases as participants. Results: a field-pilot was performed in 2010 in seven HSCs, which included about 3 500 subjects; it showed a satisfactory structure of the sample and a good validity of the collected data. Conclusions: the constitution of the full eligible sample begun in 2012 and the cohort will be completed by the end of 2017. A public call for ancillary research projects will be launched in 2014

Labor-force participation, policies & practices in an aging America: adaptation essential for a healthy & resilient population

Population aging in the United States poses challenges to societal institutions while simultaneously creating opportunities to build a more resilient, successful, and cohesive society. Work organization and labor-force participation are central to both the opportunities and challenges posed by our aging society. We argue that expectations about old age have not sufficiently adapted to the reality of aging today. Our institutions need more adaptation in order to successfully face the consequences of demographic change. Although this adaptation needs to focus especially on work patterns among the “younger elderly,” our society has to change its general attitudes toward work organization and labor-force participation, which will have implications for education and health care. We also show that work's beneficial effects on well-being in older ages are often neglected, while the idea that older workers displace younger workers is a misconception emerging from the “lump-of-labor” fallacy. We conclude, therefore, that working at older ages can lead to better quality of life for older people and to a more productive and resilient society overall

The long-run effect of maternity leave benefits on mental health: evidence from European countries

This paper examines whether maternity leave policies have an effect on women´s mental health in older age. We link data for women aged 50 years and above from countries in the Survey of Health, Ageing and Retirement in Europe (SHARE) to data on maternity leave legislation from 1960 onwards. We use a difference-in-differences approach that exploits changes over time within countries in the duration and compensation of maternity leave benefits, linked to the year women were giving birth to their first child at age 16 to 25. We compare late-life depressive symptom scores (measured with a 12-item version of the Euro-D scale) of mothers who were in employment in the period around the birth of their first child to depression scores of mothers who were not in employment in the period surrounding the birth of a first child, and therefore did not benefit directly from maternity leave benefits. Our findings suggest that a more generous maternity leave during the birth of a first child is associated with a reduced score of 0.38 points in the Euro-D depressive symptom scale in old age

Classifier design for computerâ aided diagnosis: Effects of finite sample size on the mean performance of classical and neural network classifiers

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135032/1/mp8805.pd

Co-enrolment of participants into multiple cancer trials: benefits and challenges

Opportunities to enter patients into more than one clinical trial are not routinely considered in cancer research and experiences with co-enrolment are rarely reported. Potential benefits of allowing appropriate co-enrolment have been identified in other settings but there is a lack of evidence base or guidance to inform these decisions in oncology. Here, we discuss the benefits and challenges associated with co-enrolment based on experiences in the Add-Aspirin trial – a large, multicentre trial recruiting across a number of tumour types, where opportunities to co-enrol patients have been proactively explored and managed. The potential benefits of co-enrolment include: improving recruitment feasibility; increased opportunities for patients to participate in trials; and collection of robust data on combinations of interventions, which will ensure the ongoing relevance of individual trials and provide more cohesive evidence to guide the management of future patients. There are a number of perceived barriers to co-enrolment in terms of scientific, safety and ethical issues, which warrant consideration on a trial-by-trial basis. In many cases, any potential effect on the results of the trials will be negligible – limited by a number of factors, including the overlap in trial cohorts. Participant representatives stress the importance of autonomy to decide about trial enrolment, providing a compelling argument for offering co-enrolment where there are multiple trials that are relevant to a patient and no concerns regarding safety or the integrity of the trials. A number of measures are proposed for managing and monitoring co-enrolment. Ensuring acceptability to (potential) participants is paramount. Opportunities to enter patients into more than one cancer trial should be considered more routinely. Where planned and managed appropriately, co-enrolment can offer a number of benefits in terms of both scientific value and efficiency of study conduct, and will increase the opportunities for patients to participate in, and benefit from, clinical research

Is Economic Growth Associated with Reduction in Child Undernutrition in India?

An analysis of cross-sectional data from repeated household surveys in India, combined with data on economic growth, fails to find strong evidence that recent economic growth in India is associated with a reduction in child undernutrition