195 research outputs found

    Presidential Address: The Emergence of Emerging Adulthood: A Personal History

    Get PDF
    Abstract This article presents a brief history of the field of emerging adulthood, from the author's early studies in the 1990s through the recent establishment of the Society for the Study of Emerging Adulthood (SSEA). Also included is an overview of the results of a recent national study, the Clark University Poll of Emerging Adults, which included items pertaining to the five features proposed in the theory of emerging adulthood. The results show that all five features are supported by a majority of 18-to 29-year-olds. The final part of the essay proposes that the SSEA will be international, open to a wide range of methods, and an organization where the leadership contributions of young scholars are encouraged and welcomed

    The psychology of globalization.

    Get PDF
    The influence of globalization on psychological functioning is examined. First, descriptions of how globalization is occurring in various world regions are presented. Then the psychological consequences of globalization are described, with a focus on identity issues. Specifically, it is argued that most people worldwide now develop a bicultural identity that combines their local identity with an identity linked to the global culture; that identity confusion may be increasing among young people in non-Western cultures as a result of globalization; that some people join self-selected cultures to maintain an identity that is separate from the global culture; and that a period of emerging adulthood increasingly extends identity explorations beyond adolescence, through the mid-to late twenties

    The neglected 95% revisited: Is American psychology becoming less American?

    Get PDF
    The field of psychology prides itself on being a data-driven science. In 2008, however, Arnett brought to light a major weakness in the evidence on which models, measures, and theories in psychology rest. He demonstrated that the most prominent journals in six subdisciplines of psychology focused almost exclusively (over 70% of samples and authors) on a cultural context, the United States, shared by only 5% of the world\u27s population. How can psychologists trust that these models and results generalize to all humans, if the evidence comes from a small and unrepresentative portion of the global population? Arnett\u27s analysis, cited over 1,300 times since its publication, appears to have galvanized researchers to think more globally. Social scientists from the United States have increasingly sought ways to collaborate with colleagues abroad. Ten years later, an analysis of the same 6 journals for the period of 2014 to 2018 indicates that the authors and samples are now on average a little over 60% American based. The change is mainly due to an increase in authorship and samples from other English-speaking and Western European countries. Thus, it might be said that 11% of the world\u27s population is now represented in these top psychology journals, but that 89% of the world\u27s population continues to be neglected. Majority world authors and samples (4–5%) are still sorely lacking from the evidence base. Psychology still has a long way to go to become a science truly representative of human beings. Several specific recommendations are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved) Public Significance Statement—The field of psychology prides itself on being a data-driven science, but a major weakness in the evidence base has been overreliance on a cultural context, the United States, shared by only 5% of the world\u27s population. In 2008, it was reported that the most prominent journals of six subdisciplines in psychology relied on samples that were over 70% American. Ten years later, an analysis of the same journals indicates that authors and samples are now on average a little over 60% American based, but with the change mainly due to an increase in participation from other English-speaking and Western European countries. Majority-world authors and samples (4–5%) are still sorely lacking from the evidence base. (PsycInfo Database Record (c) 2021 APA, all rights reserved

    Emerging Adulthood: Theory, Assessment and Application

    Get PDF
    The later attainment of traditional adult roles by today’s youth compared to their counterparts of earlier decades has garnered considerable scholarly and public attention. This article describes a recent concept related to the transition to adulthood, known as emerging adulthood, including a discussion of relevant theory and historical background research. We then introduce a measurement instrument, the Inventory of the Dimensions of Emerging Adulthood (IDEA), which assesses identification with transition-to-adulthood themes. Results of initial scale-development studies were largely supportive of the measure’s reliability and validity. Respondents in their 20s identified with relevant themes to a greater extent than did their younger and older counterparts. Marital status differences on the IDEA emerged, but college and non-college respondents were largely similar. Finally, we provide suggestions for how parent educators can make use of the IDEA instrument in advising parents and their emerging adult children

    Emerging Adulthood: Theory, Assessment and Application

    Get PDF
    The later attainment of traditional adult roles by today’s youth compared to their counterparts of earlier decades has garnered considerable scholarly and public attention. This article describes a recent concept related to the transition to adulthood, known as emerging adulthood, including a discussion of relevant theory and historical background research. We then introduce a measurement instrument, the Inventory of the Dimensions of Emerging Adulthood (IDEA), which assesses identification with transition-to-adulthood themes. Results of initial scale-development studies were largely supportive of the measure’s reliability and validity. Respondents in their 20s identified with relevant themes to a greater extent than did their younger and older counterparts. Marital status differences on the IDEA emerged, but college and non-college respondents were largely similar. Finally, we provide suggestions for how parent educators can make use of the IDEA instrument in advising parents and their emerging adult children

    Parental Involvement Among Collegiate Student-Athletes: An Analysis Across NCAA Divisions

    Get PDF
    Despite emerging evidence of a link between parental involvement and student-athletes’ (SA) experiences, and the desire for educational programming for parents of these SAs, previous research has been limited to the Division I level. This has prevented the ability to inform, develop, and deliver parent programming across the NCAA’s diverse membership. The present study was designed to descriptively assess SA reports of parental involvement (i.e., support, contact, academic engagement, athletic engagement) across NCAA Division I, II, and III member institutions and examine the potential impact of this involvement on SAs’ experiences (i.e., academic self-efficacy, athletic satisfaction, well-being, individuation). Participants were 455 SAs (53% female; 81% Caucasian; Mage = 19.81, SD = 1.65) from DI (30%), DII (37%), and DIII (33%) institutions, who completed an online survey with items assessing parental involvement and SA experiences. Regarding academic classification, 32% were freshmen, 24% sophomores, 22% juniors, and 22% seniors. Results provide novel evidence for an absence of division-wide differences in average levels of involvement and no variability in links between involvement and SA experiences across divisions. Results complement and extend previous research by offering a clearer understanding of differential associations between involvement and SAs’ experiences regardless of division, notably that involvement bolstered well-being but also strongly detracted from individuation. Findings highlight the importance of developing programs to promote positive and developmentally-appropriate parental involvement across the spectrum of intercollegiate athletics, especially given the absence of evidence-based resources presently offered by the NCAA

    Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

    Get PDF
    Publisher Copyright: © 2022, The Author(s).Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions: Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.Peer reviewe

    Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

    Get PDF
    Funding GMP, PN, and CW are supported by NHLBI R01HL127564. GMP and PN are supported by R01HL142711. AG acknowledge support from the Wellcome Trust (201543/B/16/Z), European Union Seventh Framework Programme FP7/2007–2013 under grant agreement no. HEALTH-F2-2013–601456 (CVGenes@Target) & the TriPartite Immunometabolism Consortium [TrIC]-Novo Nordisk Foundation’s Grant number NNF15CC0018486. JMM is supported by American Diabetes Association Innovative and Clinical Translational Award 1–19-ICTS-068. SR was supported by the Academy of Finland Center of Excellence in Complex Disease Genetics (Grant No 312062), the Finnish Foundation for Cardiovascular Research, the Sigrid Juselius Foundation, and University of Helsinki HiLIFE Fellow and Grand Challenge grants. EW was supported by the Finnish innovation fund Sitra (EW) and Finska Läkaresällskapet. CNS was supported by American Heart Association Postdoctoral Fellowships 15POST24470131 and 17POST33650016. Charles N Rotimi is supported by Z01HG200362. Zhe Wang, Michael H Preuss, and Ruth JF Loos are supported by R01HL142302. NJT is a Wellcome Trust Investigator (202802/Z/16/Z), is the PI of the Avon Longitudinal Study of Parents and Children (MRC & WT 217065/Z/19/Z), is supported by the University of Bristol NIHR Biomedical Research Centre (BRC-1215–2001) and the MRC Integrative Epidemiology Unit (MC_UU_00011), and works within the CRUK Integrative Cancer Epidemiology Programme (C18281/A19169). Ruth E Mitchell is a member of the MRC Integrative Epidemiology Unit at the University of Bristol funded by the MRC (MC_UU_00011/1). Simon Haworth is supported by the UK National Institute for Health Research Academic Clinical Fellowship. Paul S. de Vries was supported by American Heart Association grant number 18CDA34110116. Julia Ramierz acknowledges support by the People Programme of the European Union’s Seventh Framework Programme grant n° 608765 and Marie Sklodowska-Curie grant n° 786833. Maria Sabater-Lleal is supported by a Miguel Servet contract from the ISCIII Spanish Health Institute (CP17/00142) and co-financed by the European Social Fund. Jian Yang is funded by the Westlake Education Foundation. Olga Giannakopoulou has received funding from the British Heart Foundation (BHF) (FS/14/66/3129). CHARGE Consortium cohorts were supported by R01HL105756. Study-specific acknowledgements are available in the Additional file 32: Supplementary Note. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; or the U.S. Department of Health and Human Services.Peer reviewedPublisher PD

    Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

    Get PDF
    Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk

    Stroke genetics informs drug discovery and risk prediction across ancestries

    Get PDF
    Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries
    corecore