Preventing autonomy loss with multicomponent geriatric interventions: A resource-saving strategy? Evidence from the SPRINT-T study.

Background: The objective of healthy aging strategies is to support interventions targeting autonomy loss prevention, with the assumption that these interventions are likely to be efficient by simultaneously improving clinical outcomes and saving costs.

Methods: We compare the economic impact of two interventions targeting frailty prevention in older European populations: a multicomponent intervention including physical activity monitoring, nutrition management, information and communications technology use and a relatively simple healthy aging lifestyle education program based on a series of workshops. Our sample includes 1,519 male and female participants from 11 European countries aged 70 years or older.

[Analyzing and comparing healthy aging in France and OECD countries based on a new physiological age measure].

We introduce a new individual measure of healthy aging on a sample of more than 39,000 individuals and compare the results for France with 11 other European countries and the United States. Our healthy aging measure is based on the discrepancy between the calendar age of populations with their estimated physiological age, which corresponds to a measure of age adjusted for the effects of comorbidities and functional health. France is ranked in the lower middle of our healthy aging scale, with the Nordic countries (Denmark, Sweden, Netherlands), Switzerland and Greece being ahead.

Where Are Populations Aging Better? A Global Comparison of Healthy Aging Across Organization for Economic Cooperation and Development Countries.

Objectives: Global comparisons and large samples are needed to inform policy makers about aging trends among people aged older than 60 years. Using harmonized data gathered from the Gateway to Global Aging data, we introduce a new framework to measure healthy aging across 13 OECD countries.

Methods: First, we developed an original measure of physiological age (PA), that is, a measure of age weighted for the influence of frailty, activities of daily living limitations, and comorbidities.

Impact of formal care consumption on informal care use in Europe: What is happening at the beginning of dependency?

Little is known about care use decisions at the beginning of the disability process, when older people are vulnerable. This article investigates the impact of formal care (FC) consumption on informal care (IC) utilization in Europe in a population of frail older people. We use data from the Sarcopenia and Physical fRailty IN older people: multi-componenT Treatment strategies (SPRINTT) study, which involves a sample of 1515 elderly (70+) people surveyed in 11 European countries.

Are long-term care jobs harmful? Evidence from Germany.

Like many OECD countries, Germany is currently facing a shortage of long-term care (LTC) workers. This situation is concerning in the context of the ageing of the German population. A potential reason why Germany fails to recruit and retain LTC workers is that LTC jobs are particularly demanding (physical and psychological strain) which may be harmful to health.

Help me quit smoking but don't make me sick! The controversial effects of electronic cigarettes on tobacco smokers.

Despite its increasing use, little is known about the effect of electronic cigarette. This study estimates the impact of the use of electronic cigarettes on tobacco smoking and health among tobacco smokers, using French panel data derived from the Health, Health Care, and Insurance Survey for 2010-2014. We use a difference-in-differences propensity score matching approach to identify the effect of electronic cigarette use on a sample of 982 smokers.

Impact of unemployment on self-perceived health : Evidence from French panel data.

This article investigates the impact of unemployment on self-perceived health using the French Longitudinal Labour Force Survey over the period 2013-2016. We apply a difference-in-difference propensity score matching approach to identify the health effect of unemployment. By combining both methods, we minimise selection bias and remove unobserved individual fixed effects that are time-invariant as well as common period effects.