This paper uses a new age period cohort model to show that among cohorts born between 1935 and 1975, cohorts born around 1950 are significantly above the income trend in most countries. However, such inequalities between generations are much stronger in conservative, continental European welfare states, compared to social democratic and liberal welfare states. As we show, this is because conservative welfare states expose some cohorts to high youth unemployment and make lifetime earnings dependent on a favorable entry into the labor market. We thus demonstrate that conservative welfare states have put the burden of adjustment to the post-1975 economic slowdown on birth cohorts that could not get stable jobs before 1975, while similar cohort inequalities are much weaker in liberal and social democratic welfare states. In these latter two welfare regimes, the burden of adjustment to the post-1975 economic slowdown was not put on the shoulders of some cohorts relative to others. Our analysis is the first to show which welfare regimes are more conducive to such inequalities between cohorts and what mechanisms lead to these material cohort inequalities.
Acknowledgment
BackgroundDigital devices are driving economic and social transformations, but assessing the uses, perceptions, and impact of these new technologies on diet and physical activity remains a major societal challenge.ObjectiveWe aimed to determine under which social, economic, and cultural conditions individuals in France were more likely to be actively invested in the use of self-tracking diet and fitness apps for better health behaviors.MethodsExisting users of 3 diet and fitness self-tracking apps (Weight Watchers, MyFitnessPal, and sport apps) were recruited from 3 regions of France. We interviewed 79 individuals (Weight Watchers, n=37; MyFitnessPal, n=20; sport apps, n=22). In-depth semistructured interviews were conducted with each participant, using open-ended questions about their use of diet and fitness apps. A triangulation of methods (content, textual, and quantitative analyses) was performed.ResultsWe found 3 clusters of interviewees who differed by social background and curative goal linked to use under constraint versus preventive goal linked to chosen use, and intensity of their self-quantification efforts and participation in social networks. Interviewees used the apps for a diversity of uses, including measurement, tracking, quantification, and participation in digital communities. A digital divide was highlighted, comprising a major social gap. Social conditions for appropriation of self-tracking devices included sociodemographic factors, life course stages, and cross-cutting factors of heterogeneity.ConclusionsIndividuals from affluent or intermediate social milieus were most likely to use the apps and to participate in the associated online social networks. These interviewees also demonstrated a preventive approach to a healthy lifestyle. Individuals from lower milieus were more reluctant to use digital devices relating to diet and physical activity or to participate in self-quantification. The results of the study have major implications for public health: the digital self-quantification device is intrinsically less important than the way the individual uses it, in terms of adoption of successful health behaviors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.