Early socioeconomic adversity and young adult diabetic risk
An Investigation of Genetically Informed Biopsychosocial Processes Over the Life Course
Bibliographic Data
| ID | 5958823 |
|---|---|
| Authors | K A S Wickrama (0000-0002-9486-5552, corresponding author), Thulitha Wickrama (0000-0003-3184-8541, Youth & Family Services), Dayoung Bae (0000-0002-0429-1154, Korea University), Michael Merten, Michael J Merten (0000-0002-6482-5234, Youth & Family Services) |
| Year | 2022 |
| Volume | 67 |
| Issue | 3-4 |
| Pages | 203-223 |
| Publication date | 2022-10-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Biodemography and Social Biology (JOURNAL) |
| Journal identifiers | ISSN: 1948-5565 • E-ISSN: 1948-5573 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/19485565.2022.2161463 |
| PMID | 36573270 |
| OpenAlex | W4312201124 |
| Language | EN |
| References cited | 49 |
The present study investigated a comprehensive model that integrates contributions of early socioeconomic adversity (ESA) and multiple polygenic scores (PGSs) through different mechanisms leading to diabetic risk in early adulthood. The study used prospective, longitudinal data from the National Longitudinal Study of Adolescent and Adult Health (Add Health) with a sample of 5,728 youth of European ancestry. The results showed that both ESA and PGSs were involved in different mechanisms. ESA contributed additively to educational failures, BMI, depressive symptoms, and diabetes risk over the life course (an additive process). Also, ESA launched a cascading process that connected these outcomes in a successively contingent manner. In addition to ESA, youths' multiple PGSs directly contributed to educational, psychological, and BMI outcomes. Multiple PGSs for education, BMI, and type 2 diabetes influenced not only youth outcomes that they were supposed to predict directly but also additional youth outcomes showing biological pleiotropy. The findings highlight the value of incorporating molecular genetic information into longitudinal developmental life course research and provide insight into malleable characteristics and appropriate timing for interventions addressing youth developmental and health outcomes
Adolescent health · Biopsychosocial model · Developmental psychology · Environmental health · Life course approach · Longitudinal study · Population · Psychiatry · Psychological intervention · Socioeconomic status · Sociology · Birth, Development, and Health · Clinical Psychology · Demography · Early Childhood Education and Development · Genetic Associations and Epidemiology · Medicine · Psychology · Gerontology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |