The interaction between polygenic risk and environmental influences
A direct test of the 3P model of insomnia in adolescents
Bibliographic Data
| ID | 21344908 |
|---|---|
| Authors | Juan J Madrid-Valero (0000-0002-3450-1159, Department of Health Psychology, Faculty of Health Sciences University of Alicante Alicante Spain, corresponding author), Nicola L Barclay (0000-0002-6500-9909, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences University of Oxford Oxford UK), Alice M Gregory (0000-0003-2222-7823, Department of Psychology Goldsmiths, University of London London UK, corresponding author) |
| Year | 2024 |
| Volume | 65 |
| Issue | 3 |
| Pages | 308-315 |
| Publication date | 2024-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Child Psychology and Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 0021-9630 • E-ISSN: 1469-7610 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/jcpp.13895 |
| PMID | 37792459 |
| OpenAlex | W4387326767 |
| Language | EN |
| References cited | 46 |
BACKGROUND: Stress is a universal phenomenon and one of the most common precipitants of insomnia. However, not everyone develops insomnia after experiencing a stressful life event. This study aims to test aspects of Spielman's '3P model of insomnia' (during adolescence) by exploring the extent to which: (a) insomnia symptoms are predicted by polygenic scores (PGS); (b) life events predict insomnia symptoms; (c) the interaction between PGS and life events contribute to the prediction of insomnia symptoms; (d) gene-environment interaction effects remain after controlling for sex. METHODS: The sample comprised 4,629 twins aged 16 from the Twin Early Development Study who reported on their insomnia symptoms and life events. PGS for insomnia were calculated. In order to test the main hypothesis of this study (a significant interaction between PGS and negative life events), we fitted a series of mixed effect regressions. RESULTS: The best fit was provided by the model including sex, PGS for insomnia, negative life events, and their interactions (AIC = 26,158.7). Our results show that the association between insomnia symptoms and negative life events is stronger for those with a higher genetic risk for insomnia. CONCLUSIONS: This work sheds light on the complex relationship between genetic and environmental factors implicated for insomnia. This study has tested for the first time the interaction between genetic predisposition (PGS) for insomnia and environmental stressors (negative life events) in adolescents. This work represents a direct test of components of Spielman's 3P model for insomnia which is supported by our results
Biology · Heritability · Insomnia · Primary Insomnia · Psychiatry · Sleep disorder · Stressor · Structural equation modeling · Twin study · Clinical Psychology · Cognitive Abilities and Testing · Genetic Associations and Epidemiology · Genetics · Medicine · Psychology · Sleep and related disorders
Diagnostic and Statistical Manual of Mental Disorders
The Insomnia Severity Index
Sex Differences in Insomnia
Who gets the best sleep? Ethnic and socioeconomic factors related to sleep complaints
The hyperarousal model of insomnia
Epidemiology of insomnia
Epidemiologic Study of Sleep Disturbances and Psychiatric Disorders
A Systematic Review Assessing Bidirectionality between Sleep Disturbances, Anxiety, and Depression
Validation of the Insomnia Severity Index as an outcome measure for insomnia research
Evaluating significance in linear mixed-effects models in R
Gene × Environment Interaction Studies Have Not Properly Controlled for Potential Confounders
Fitting Linear Mixed-Effects Models Using lme4
A multivariate genetic analysis of anxiety sensitivity, environmental sensitivity and reported life events in adolescents
The significance of life events as etiologic factors in the diseases of children-II a study of a normal population
| Highly cited | No |
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