Determinanten van loopbaanpatronen

2007 ◽  
Vol 23 (1) ◽  
Author(s):  
Leen Heylen ◽  
Dimitri Mortelmans
Keyword(s):  
Life Course ◽  
Multinomial Logistic Regression ◽  
Panel Study ◽  
Individual Characteristics ◽  
External Factors ◽  
Career Patterns ◽  
Partner Status ◽  
Course Characteristics ◽  
Career Pattern ◽  
The Life Course

Determinants of career patterns Determinants of career patterns Career patterns are no random phenomena. They are influenced by numerous external factors. Using a typology of career patterns for the period 1992-2000, based on the data of the Belgian Household Panel Study, this article focuses on determinants that can explain the diversity of career patterns on the labour market. The focus in the analysis lies on individual characteristics and life course determinants. By means of a multinomial logistic regression the question is answered whether the career pattern depends on personal and life course characteristics. The group of employees who frequently change jobs or regime are compared with the group who knew a stable, fulltime career pattern. A similar analysis tests whether those who interrupt their career (by unpaid activity, unemployment or because of invalidity/illness) differ from those with a stable fulltime career pattern. The results show strong gender related career types but also explain differences between careers based on life course events. Having children in interaction with the partner status strongly determines the career pattern. The analysis clearly shows that the life course and the followed career pattern are inextricable connected.

scholarly journals PATTERNS OF WEALTH TRAJECTORY IN LATER LIFE: CRITICAL PERIOD, ACCUMULATION, AND SOCIAL MOBILITY MODELS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S382-S382
Author(s):  
Yu-Chih Chen ◽  
Sojung Park ◽  
Nancy Morrow-Howell
Keyword(s):  
Life Course ◽  
Social Mobility ◽  
Critical Period ◽  
Reference Group ◽  
Multinomial Logistic Regression ◽  
Later Life ◽  
Well Being ◽  
Economic Stress ◽  
Mobility Models ◽  
The Life Course

Abstract Wealth, an important financial cushion for older adults to buffer economic stress, requires a longer time to accumulate and develop in one’s course of life. However, little is known about the trajectories of wealth in later life, and how the life course socioeconomic status (SES) may contribute to the development of wealth at old-age. This study investigated longitudinal patterns of wealth trajectory and whether SES across the life course affects these trajectories using critical period, accumulation, and social mobility models. Using data from 16,189 adults aged 51 and older from the 2004-2014 Health and Retirement Study, a growth mixture model was used to explore distinct wealth trajectories. Impacts of life course models were studied using multinomial logistic regression. Results showed that four heterogeneous latent classes of wealth were identified: Stable high (reference group), Low and increasing, Stable low, and High but decline. Disadvantaged adulthood SES, accumulated exposure to socioeconomic risks, and downward or persistent socioeconomic disadvantage over the life course were associated with Stable low, Low and increasing, and High but decline, supporting all three life course mechanisms on wealth development in later life. Evidence suggests that wealth development is heterogeneous across individuals, and a strong gradient effect of life-course SES on wealth trajectories are clearly observed. Programs and policies should address the effects of life course on wealth development to strengthen the economic well-being in later life.

scholarly journals Endogenous Selection Bias and Cumulative Inequality over the Life Course: Evidence from Educational Inequality in Subjective Well-Being

2020 ◽  
Vol 36 (3) ◽  
pp. 333-350
Author(s):  
Fabian Kratz ◽  
Alexander Patzina
Keyword(s):  
United States ◽  
Panel Data ◽  
Life Course ◽  
Panel Study ◽  
Well Being ◽  
The United States ◽  
Subjective Well Being ◽  
Interviewer Effects ◽  
Endogenous Selection ◽  
The Life Course

Abstract According to theories of cumulative (dis-)advantage, inequality increases over the life course. Labour market research has seized this argument to explain the increasing economic inequality as people age. However, evidence for cumulative (dis-)advantage in subjective well-being remains ambiguous, and a prominent study from the United States has reported contradictory results. Here, we reconcile research on inequality in subjective well-being with theories of cumulative (dis-)advantage. We argue that the age-specific endogenous selection of the (survey) population results in decreasing inequalities in subjective well-being means whereas individual-level changes show a pattern of cumulative (dis-)advantage. Using repeated cross-sectional data from the European Social Survey (N = 15,252) and employing hierarchical age-period-cohort models, we replicate the finding of decreasing inequality from the United States with the same research design for Germany. Using panel data from the German Socio-Economic Panel Study (persons = 47,683, person-years = 360,306) and employing growth curve models, we show that this pattern of decreasing inequality in subjective well-being means is accompanied by increasing inequality in intra-individual subjective well-being changes. This pattern arises because disadvantaged groups, such as the low educated and individuals with low subjective well-being show lower probabilities of continuing to participate in a survey and because both determinants reinforce each other. In addition to allowing individual changes and attrition processes to be examined, the employed multi-cohort panel data have further key advantages for examining inequality in subjective well-being over the life course: They require weaker assumptions to control for period and cohort effects and make it possible to control for interviewer effects that may influence the results.

scholarly journals PROVIDING AND RECEIVING FAMILY CARE ACROSS THE LIFE COURSE: INSIGHTS FROM THE OLDEST OLD

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S612-S613
Author(s):  
Taylor Patskanick ◽  
Julie Miller ◽  
Chaiwoo Lee ◽  
Lisa D’Ambrosio
Keyword(s):  
Life Course ◽  
New Technologies ◽  
Oldest Old ◽  
Panel Study ◽  
Later Life ◽  
The United States ◽  
Household Composition ◽  
Extensive Experience ◽  
Living Situation ◽  
The Life Course

Abstract Unprecedented longevity comes with an increased need for providing and receiving care. A 2015 report estimated 39.8 million adults in the United States provided unpaid care to an adult in 2014 (NAC & AARP). Previous research has focused disproportionately on experiences of providing care to older adults, but little has explored experiences of providing care and receiving care among the oldest old. Adults aged 85 and older are likely to have provided care to an adult family member at some point in their lives, but now may be receiving care themselves. The presentation will report on findings from a mixed methods study investigating the experiences of providing and receiving care across the life course among a sample of the “oldest old.” Data draw from focus groups and a survey with the MIT AgeLab Lifestyle Leaders, a bimonthly panel study of adults ages 85 and older. Findings suggest the Lifestyle Leaders had extensive experience providing care, particularly in older age. They most often cared for family members with long-term physical or cognitive conditions. Opinions on learning new technologies to help with caregiving and robot caregivers were mixed. The majority of the Lifestyle Leaders received regular help with at least one care task regardless of household composition or living situation. Many reported help had improved their health, but they felt like a burden to their caregivers. Even in later life, the Lifestyle Leaders had few ideas about who might take care of them if they needed care in the future.

The lasting imprint of childhood disadvantage: cumulative histories of exposure to childhood adversity and trajectories of psychological distress in adulthood

2021 ◽  
Author(s):  
Loanna S. Heidinger ◽  
Andrea E. Willson
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Life Course ◽  
Latent Class ◽  
Panel Study ◽  
Adult Life ◽  
Childhood Adversity ◽  
Childhood Adversities ◽  
Childhood Disadvantage ◽  
The Life Course

This study contributes to the literature on the long-term effects of childhood disadvantage on mental health by estimating the association between patterns of cumulative childhood adversity on trajectories of psychological distress in adulthood. There is little research that investigates how compositional variations in the accumulation of childhood adversity may initiate distinct processes of disadvantage and differentially shape trajectories of psychological distress across the adult life course. Using the Panel Study of Income Dynamics’ Childhood Retrospective Circumstance Study and latent class analysis, we first identify distinct classes representing varied histories of exposure to childhood adversities using 25 indicators of adversity across multiple childhood domains. Next, the latent classes are included as predictors of trajectories of psychological distress in adulthood. The results demonstrate that patterns of experiences of childhood adversity are associated with higher levels of adult psychological distress that persists, and in some cases worsens, in adulthood, contributing to disparities in mental health across the life course.<br /><br />Key messages<br /><ul><li>Cumulative adversity during childhood has an enduring influence on adult psychological distress.</li><br /><li>Childhood adversities of various types and severities tend to co-occur, which is important for measures of cumulative childhood adversity to consider.</li><br /><li>Childhood adversity increases adult psychological distress, contributing to disparities in mental health across the life course.</li></ul>

Violent victimisation trajectories from adolescence through adulthood: consequences for sleep problems

2021 ◽  
pp. jech-2021-217356
Author(s):  
Alexander Testa ◽  
Daniel C Semenza ◽  
Dylan B Jackson
Keyword(s):  
Life Course ◽  
Sleep Problems ◽  
Multinomial Logistic Regression ◽  
Adult Health ◽  
Middle Adulthood ◽  
Sleep Quantity ◽  
Adolescents And Adults ◽  
History Of ◽  
The Life Course ◽  
Violent Victimisation

BackgroundViolent victimisation is a stressful experience that has been linked with sleep problems among children, adolescents and adults. However, prior research has not assessed how victimisation trajectories across different stages of the life-course correspond to sleep outcomes. The present study assesses how trajectories of violent victimisation from adolescence to middle adulthood correspond to sleep behaviours in adulthood.MethodsData are from fives waves of the National Longitudinal Study of Adolescent to Adult Health (N=6015). Semi-parametric group-based trajectory modelling was used to estimate violent victimisation trajectories from adolescence to middle adulthood. Multinomial logistic regression was used to assess the association between sleep quantity and quality across violent victimisation trajectories.ResultsThe findings demonstrate that the relationship between violent victimisation and sleep in adulthood is not consistent across all victimisation trajectories. Rather, sleep quality and quantity are the worst among those who persistently experience violent victimisation from adolescence through adulthood.ConclusionPersistent exposure to violence can be a particularly damaging experience with consequences for sleep quantity and quality. Establishing interventions that reduce violent victimisation across the life-course and promote positive sleep behaviours among those with a history of victimisation are important public health measures.

Developmental and Life-Course Theories of Crime

2019 ◽  
Author(s):  
Tara Renae McGee ◽  
David P. Farrington
Keyword(s):  
Life Course ◽  
Antisocial Behavior ◽  
Life Events ◽  
Individual Characteristics ◽  
Life Course Perspective ◽  
Single Type ◽  
Life Course Criminology ◽  
The Life Course ◽  
The Impact ◽  
Over Time

Developmental and life-course theories of crime are collectively characterized by their goal of explaining the onset, persistence, and desistance of offending behavior over the life-course. Researchers working within this framework are interested not just in offending but also in the broader category of antisocial behavior. Their research aims to investigate the development of offending and antisocial behavior throughout life; risk and protective factors that predict this development; the effects of life events; and the intergenerational transmission of offending and antisocial behavior. While there have been a number of developmental and life-course theories of crime, the more influential and empirically tested ones include Sampson and Laub’s age-graded informal social control theory and Moffitt’s typological model of life-course-persistent and adolescence-limited offending. While developmental and life-course criminology has come to be viewed a single type or grouping of criminology, there are distinctions between the more sociological life-course perspectives and the more psychological developmental perspectives. These are a result of the disciplinary training of the individuals working in the field and are reflected in the types of variables examined and the theoretical explanations developed and applied to explain the relationships. The broader life-course perspective focuses on the examination of human lives over time, with an understanding that “changing lives alter developmental trajectories,” according to Glen Elder in his 1998 work. Life-course approaches to studying human development are not unique to criminology and are represented within many disciplines, such as medicine and epidemiology. There are four central themes of the life-course paradigm: the interplay of human lives and historical times; the timing of lives; linked or interdependent lives; and human agency in making choices. Therefore the life-course perspective within criminology focuses on the examination of criminal behavior within these contexts. Given its sociological origins, life-course theoretical explanations tend to focus more on social processes and structures and their impact on crime. Developmental perspectives within criminology tend to be more psychological in nature, and its theoretical explanations tend to focus more on individual characteristics and the impact of familial processes on the individual. Both of these perspectives require longitudinal data, that is, data collected over time for each individual. Collectively, developmental and life-course criminology allow for the examination of: within-individual changes over time; the impact of critical life events; the importance of the social environment; and pathways, transitions and turning points.

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