scholarly journals Employment trajectories in midlife and cognitive performance in later life: longitudinal study of older American men and women

2018 ◽  
Vol 73 (3) ◽  
pp. 232-238 ◽  
Author(s):  
Lindsay C Kobayashi ◽  
Justin Michael Feldman
Keyword(s):  
Sequence Analysis ◽  
Dose Response ◽  
Financial Literacy ◽  
Cognitive Skills ◽  
Panel Study ◽  
Later Life ◽  
Numerical Reasoning ◽  
Employment Trajectories ◽  
And Performance ◽  
High Skill

BackgroundAlthough being employed during midlife is positively associated with cognitive function in later life, little is known with respect to cumulative trajectories or durations of time spent in different kinds of work.MethodsWe investigated the relationships between employment trajectory from ages 31 years to 50 years and cognitive skills at ages 50–78 years among 2521 adults in the US Panel Study of Income Dynamics from 1968 to 2016. Sequence analysis was used to identify prototypical employment trajectories, capturing employment status and high versus lower job skill level at each year of age from 31 years to 50 years. Adjusted and weighted logistic regression was used to estimate relationships between employment trajectory and performance on each of four cognitive tests representing numerical reasoning, verbal reasoning, health literacy and financial literacy. Dose–response relationships between the duration of high-skill employment and cognitive skills were examined.ResultsSeven prototypical employment trajectories were identified, the most common being consistently lower skill employment (44%; 1105/2521). Consistently high-skill and fluctuating skill trajectories were associated with high numerical reasoning scores (OR=1.54, 95% CI 0.99 to 2.40; OR=2.52, 95% CI 1.39 to 4.58, respectively), compared with consistently lower skill employment. There was a dose–response relationship between duration of high-skill employment and numerical reasoning (OR=1.17; 95% CI 1.06 to 1.28), plateauing after approximately 4 years of high-skill employment.ConclusionsSequence analysis of exposure trajectories is a novel method for life course epidemiology that accounts for exposure timing, duration and ordering. Our results using this method indicate that the duration may be more important than the timing of high-skill midlife employment for later-life numerical reasoning skills.

Atypical employment over the life cycle

2020 ◽  
Vol 8 (2) ◽  
pp. 195-213
Author(s):  
Ronald Bachmann ◽  
Rahel Felder ◽  
Marcus Tamm
Keyword(s):  
World War Ii ◽  
Sequence Analysis ◽  
Labour Market ◽  
Panel Study ◽  
Life Course Perspective ◽  
Substantial Part ◽  
Birth Cohorts ◽  
Content Type ◽  
Employment Trajectories ◽  
Atypical Employment

PurposeThis paper analyses how the employment histories of cohorts born after World War II in Germany have changed. A specific focus is on the role of atypical employment in this context.Design/methodology/approachThis paper uses data from the adult cohort of the National Educational Panel Study and presents descriptive evidence on employment patterns for different cohorts. In addition, a sequence analysis of employment trajectories illustrates key aspects related to the opportunities and risks of atypical employment.FindingsYounger cohorts are characterised by acquiring more education, by entering into employment at a higher age and by experiencing atypical employment more often. The latter is associated with much higher employment of women for younger cohorts. The sequence analysis reveals that the proportion of individuals whose entry into the labour market is almost exclusively characterised by atypical employment rises significantly across the cohorts. Moreover, a substantial part of the increase in atypical employment is due to the increased participation of women, with part-time jobs or mini-jobs playing an important role in re-entering the labour market after career breaks.Originality/valueThe most important contribution of this article to the existing literature lies in the life course perspective taken for different birth cohorts. The findings are of great interest to the general debate about the success of the German labour market in recent decades and its implications for individual labour-market histories, but also about rising income inequality at about the same time.

scholarly journals Loved and lost or never loved at all? Lifelong marital histories and their links with subjective well-being

2020 ◽  
Author(s):  
Mariah Purol ◽  
Victor N. Keller ◽  
Jeewon Oh ◽  
William J. Chopik ◽  
Richard E. Lucas
Keyword(s):  
Sequence Analysis ◽  
Marital Status ◽  
Panel Study ◽  
Later Life ◽  
Well Being ◽  
Subjective Well Being ◽  
Income Dynamics ◽  
Single Group ◽  
Group 13 ◽  
Sequence Types

Marriage has been linked to higher well-being. However, previous research has generally examined marital status at one point in time or over a relatively short window of time. In order to determine if different marital histories have unique impacts on well-being in later life, we conducted a marital sequence analysis of 7,532 participants from the Panel Study of Income Dynamics (54.2% women; Mage = 66.68, SD = 8.50; 68.7% White/Caucasian). Three different marital sequence types emerged: a “consistently-married” group (79%), a “consistently-single” group (8%), and a “varied histories” group (13%), in which individuals had moved in and out of various relationships throughout life. The consistently-married group was slightly higher in well-being at the end of life than the consistently-single and varied histories groups; the latter two groups did not differ in their well-being. The results are discussed in the context of why marriage is linked to well-being across the lifespan.

scholarly journals Life Employment Histories in Middle Age and Their Association With Health Outcomes in Later Life: A Sequence Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 65-65
Author(s):  
Oejin Shin ◽  
BoRin Kim ◽  
Sojung Park ◽  
JiYoung Kang ◽  
Ilan Kwon ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Health Outcomes ◽  
Middle Age ◽  
Panel Study ◽  
Later Life ◽  
Full Time ◽  
Middle Aged ◽  
Employment History ◽  
Precarious Employment ◽  
Mixed Pattern

Abstract Despite consistent evidence on the negative effect of precarious employment on health, little is known about the dynamic pattern of employment over the life course on later year health. Using the longitudinal data (1-18 waves) from the Korean Labor & Income Panel Study (KLIPS) (n=1,705), this study aimed to (1) identify long term change patterns of employment in two middle-age groups (early middle-aged: 40-49 / late middle-aged: 50-59), (2) examine the association between the patterns and self-rated health in old age. We apply sequence analysis with 18 years of working status and conducted regression health outcomes in the 18th wave. The result of sequence analysis found the differential employment patterns: among the early middle-aged, five patterns were identified consistently full-time, consistently not- working, transit to self-employed, mixed pattern, retired. Among the late middle-aged, five patterns were identified: consistently full time, mixed pattern, consistently retired, transit to not- working, consistently not working. Regression results indicated a negative association between precarious employment history and health in later years: Among the early middle-aged, members in the “consistently full-time” were likely to have better health compared to “transit to self-employed”. Among the later middle-aged, “retired” and “transit to not –working” were likely to have better health compared to “mixed pattern group”. The findings suggest the importance of employment history in middle age to predict the health outcome in later life. Policies to support experiencing precarious or self-employment are needed to prevent health disparity in later life.

scholarly journals Effect of computer-assisted-learning and simulation clinics on dental students’ cognitive and performance skills: panoramic image errors related to patient’s head position

2020 ◽  
Vol 49 (7) ◽  
pp. 20200154
Author(s):  
Ann Wenzel ◽  
Louise Hauge Matzen ◽  
Rubens Spin-Neto ◽  
Lars Schropp
Keyword(s):  
Test Scores ◽  
Cognitive Skills ◽  
Dental Students ◽  
Head Position ◽  
Cognitive Test ◽  
Computer Assisted ◽  
Patient Exposure ◽  
Performance Skills ◽  
Positioning Errors ◽  
And Performance

Objectives: To assess dental students’ ability to recognize head positioning errors in panoramic (PAN) images after individual learning via computer-assisted-learning (CAL) and in a simulation clinic (SIM). Both cognitive skills and performance in patient examination were assessed. Methods and materials: 60 students (mean age 23.25 years) participated in lectures on the relation between PAN-image errors and patient’s head position. Immediately after they took a test, based on which they were randomized to three groups: control (CON) group, CAL group, and SIM group (both CAL and training in a simulation clinic with a phantom). 4–5 weeks after intervention/no intervention, all students individually examined a patient with PAN-exposure. A blinded rater, not knowing group allocation, supervised patient exposure and assessed student’s performance (correct/incorrect head position in three planes). 1–2 weeks after, the students scored positioning errors in 40 PAN-images. Differences in cognitive test scores between groups were evaluated by ANOVA and in patient examination by χ2 tests, and within-group differences by sign-tests. Results: No statistically significant difference in cognitive test scores was seen between the SIM and CAL group, while the CON group scored lower (p < 0.003). In all groups, several students positioned the patient incorrectly in the Frankfort horizontal plane. All students performed well in the sagittal plane. Students in SIM group positioned the patient more correctly in the coronal plane. Conclusions: Training with CAL increased students’ cognitive skills compared with a control group. Simulated patient exposure with a phantom increased to some extent their performance skills in examination of patients.

Socio-Economic Family Background and Adult Children’s Health in Germany: The Role of Intergenerational Transmission of Education

2020 ◽  
Author(s):  
Oliver Arránz Becker ◽  
Katharina Loter
Keyword(s):  
Mental Health ◽  
Life Course ◽  
Intergenerational Transmission ◽  
Parental Education ◽  
Panel Study ◽  
Later Life ◽  
Children's Health ◽  
Children’S Health ◽  
Physical And Mental Health ◽  
Intergenerational Transmission Of Education

Abstract This study examines consequences of parental education for adult children’s physical and mental health using panel data from the German Socio-Economic Panel study. Based on random-effects growth curve models (N = 15,144 West German respondents born between 1925 and 1998 aged 18–80), we estimate gender-, age-, and cohort-specific trajectories of physical and mental health components of the SF-12 questionnaire for low and high parental education measured biennially from 2002 to 2018. Findings suggest more persistent effects of parental education on physical than mental health. In particular, both daughters and sons of the lower educated group of parents (with neither parent qualified for university) exhibit markedly poorer physical health over the whole life course and worse mental health in mid-life and later life than those of higher educated parents. Thus, children’s health gradients conditional on parental education tend to widen with increasing age. Once children’s educational attainment is held constant, effects of parental education on children’s health mostly vanish. This suggests that in the strongly stratified West German context with its rather low social mobility, intergenerational transmission of education, which, according to our analyses, has been declining among younger cohorts, contributes to cementing long-term health inequalities across the life course.

scholarly journals Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

2018 ◽  
Vol 20 (4) ◽  
pp. 1542-1559 ◽  
Author(s):  
Damla Senol Cali ◽  
Jeremie S Kim ◽  
Saugata Ghose ◽  
Can Alkan ◽  
Onur Mutlu
Keyword(s):  
Sequence Analysis ◽  
Genome Assembly ◽  
Sequence Data ◽  
Error Rates ◽  
Nanopore Sequencing ◽  
Memory Usage ◽  
Sequencing Technology ◽  
Assembly Pipeline ◽  
And Performance ◽  
Polishing Tool

Abstract Nanopore sequencing technology has the potential to render other sequencing technologies obsolete with its ability to generate long reads and provide portability. However, high error rates of the technology pose a challenge while generating accurate genome assemblies. The tools used for nanopore sequence analysis are of critical importance, as they should overcome the high error rates of the technology. Our goal in this work is to comprehensively analyze current publicly available tools for nanopore sequence analysis to understand their advantages, disadvantages and performance bottlenecks. It is important to understand where the current tools do not perform well to develop better tools. To this end, we (1) analyze the multiple steps and the associated tools in the genome assembly pipeline using nanopore sequence data, and (2) provide guidelines for determining the appropriate tools for each step. Based on our analyses, we make four key observations: (1) the choice of the tool for basecalling plays a critical role in overcoming the high error rates of nanopore sequencing technology. (2) Read-to-read overlap finding tools, GraphMap and Minimap, perform similarly in terms of accuracy. However, Minimap has a lower memory usage, and it is faster than GraphMap. (3) There is a trade-off between accuracy and performance when deciding on the appropriate tool for the assembly step. The fast but less accurate assembler Miniasm can be used for quick initial assembly, and further polishing can be applied on top of it to increase the accuracy, which leads to faster overall assembly. (4) The state-of-the-art polishing tool, Racon, generates high-quality consensus sequences while providing a significant speedup over another polishing tool, Nanopolish. We analyze various combinations of different tools and expose the trade-offs between accuracy, performance, memory usage and scalability. We conclude that our observations can guide researchers and practitioners in making conscious and effective choices for each step of the genome assembly pipeline using nanopore sequence data. Also, with the help of bottlenecks we have found, developers can improve the current tools or build new ones that are both accurate and fast, to overcome the high error rates of the nanopore sequencing technology.

scholarly journals Meta-analysis of epigenome-wide associations between DNA methylation at birth and childhood cognitive skills

2020 ◽  
Author(s):  
Doretta Caramaschi ◽  
Alexander Neumann ◽  
Andres Cardenas ◽  
Gwen Tindula ◽  
Silvia Alemany ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cord Blood ◽  
Cognitive Abilities ◽  
Cognitive Skills ◽  
Strong Predictor ◽  
Meta Analysis ◽  
Later Life ◽  
Life Outcomes ◽  
Cognitive Domains ◽  
Wide Range

ABSTRACTCognitive skills are a strong predictor of a wide range of later life outcomes. Genetic and epigenetic associations across the genome explain some of the variation in general cognitive abilities in the general population and it is plausible that epigenetic associations might arise from prenatal environmental exposures and/or genetic variation early in life. We investigated the association between cord blood DNA methylation at birth and cognitive skills assessed in children from eight pregnancy cohorts (N=2196-3798) within the Pregnancy And Childhood Epigenetics (PACE) Consortium across overall, verbal and non-verbal cognitive scores. The associations at single CpG sites were weak for all of the cognitive domains investigated. One region near DUSP22 on chromosome 6 was associated with non-verbal cognition in a model adjusted for maternal IQ. We conclude that there is little evidence to support the idea that cord blood DNA methylation at single CpGs can predict cognitive skills and further studies are needed to confirm regional differences.

scholarly journals A Bibliometric Analysis of Behavioral Finance and Behavioral Accounting

2021 ◽  
Vol 24 (2) ◽  
pp. 198-230
Author(s):  
Bharati Singh
Keyword(s):  
Bibliometric Analysis ◽  
Behavioral Finance ◽  
Financial Literacy ◽  
Cognitive Biases ◽  
Research Work ◽  
Behavioral Accounting ◽  
Cognitive Constraints ◽  
Vos Viewer ◽  
Emerging Themes ◽  
And Performance

This paper presents a bibliometric analysis of relevant publications in the field of behavioral finance and behavioral accounting. The analysis shows that the emerging themes of research in recent years in behavioral finance is on investors’ sentiment, social media, investors’ attention, and financial literacy. In the field of behavioral accounting, biases such as  overconfidence, framing effects or cognitive constraints on information processing, have been explored in greater detail. Other than cognitive biases, this field includes studies such as behavioral tax, organizational ecology, and performance evaluative style of organization, among others. Interestingly, our analysis suggests that research in behavioral accounting is comparatively underdeveloped than research in behavioral finance. This bibliometric analysis has been extended by network analysis using, “Visualization of similarities, (VOS) viewer” software. Using the themes generated here the direction for future scope of research work has been discussed.

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