A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life
The two studies presented in this paper seek to resolve mixed findings in research linking activity of pubertal hormones to daily adolescent outcomes. In study 1 we used a series of Confirmatory Factor Analyses to compare the fit of one and two-factor models of seven steroid hormones (n = 994 partic...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Developmental Cognitive Neuroscience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1878929322001013 |
| _version_ | 1811199486779719680 |
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| author | Julia E. Chafkin Joseph M. O’Brien Fortunato N. Medrano Hae Yeon Lee Robert A. Josephs David S. Yeager |
| author_facet | Julia E. Chafkin Joseph M. O’Brien Fortunato N. Medrano Hae Yeon Lee Robert A. Josephs David S. Yeager |
| author_sort | Julia E. Chafkin |
| collection | DOAJ |
| description | The two studies presented in this paper seek to resolve mixed findings in research linking activity of pubertal hormones to daily adolescent outcomes. In study 1 we used a series of Confirmatory Factor Analyses to compare the fit of one and two-factor models of seven steroid hormones (n = 994 participants, 8084 samples) of the HPA and HPG axes, using data from a field study (https://www.icpsr.umich.edu/web/ICPSR/studies/38180) collected over ten consecutive weekdays in a representative sample of teens starting high school. In study 2, we fit a Bayesian model to our large dataset to explore how hormone activity was related to outcomes that have been demonstrated to be linked to mental health and wellbeing (self-reports of daily affect and stress coping). Results reveal, first that a two-factor solution of adolescent hormones showed good fit to our data, and second, that HPG activity, rather than the more often examined HPA activity, was associated with improved daily affect ratios and stress coping. These findings suggest that field research, when it is combined with powerful statistical techniques, may help to improve our understanding of the relationship between adolescent hormones and daily measures of well-being. |
| first_indexed | 2024-04-12T01:50:04Z |
| format | Article |
| id | doaj.art-08e5f1085e7647eabaf30152b8ba9ffa |
| institution | Directory Open Access Journal |
| issn | 1878-9293 |
| language | English |
| last_indexed | 2024-04-12T01:50:04Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developmental Cognitive Neuroscience |
| spelling | doaj.art-08e5f1085e7647eabaf30152b8ba9ffa2022-12-22T03:52:58ZengElsevierDevelopmental Cognitive Neuroscience1878-92932022-12-0158101158A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday lifeJulia E. Chafkin0Joseph M. O’Brien1Fortunato N. Medrano2Hae Yeon Lee3Robert A. Josephs4David S. Yeager5Department of Psychology, University of Texas at Austin, Austin, TX, USA; Correspondence to: 1202 North Duke Street, Durham, NC 27701, USA.Department of Psychology, University of Texas at Austin, Austin, TX, USADepartment of Psychology, University of Texas at Austin, Austin, TX, USADepartment of Psychology, Yale-NUS, SingaporeDepartment of Psychology, University of Texas at Austin, Austin, TX, USADepartment of Psychology, University of Texas at Austin, Austin, TX, USAThe two studies presented in this paper seek to resolve mixed findings in research linking activity of pubertal hormones to daily adolescent outcomes. In study 1 we used a series of Confirmatory Factor Analyses to compare the fit of one and two-factor models of seven steroid hormones (n = 994 participants, 8084 samples) of the HPA and HPG axes, using data from a field study (https://www.icpsr.umich.edu/web/ICPSR/studies/38180) collected over ten consecutive weekdays in a representative sample of teens starting high school. In study 2, we fit a Bayesian model to our large dataset to explore how hormone activity was related to outcomes that have been demonstrated to be linked to mental health and wellbeing (self-reports of daily affect and stress coping). Results reveal, first that a two-factor solution of adolescent hormones showed good fit to our data, and second, that HPG activity, rather than the more often examined HPA activity, was associated with improved daily affect ratios and stress coping. These findings suggest that field research, when it is combined with powerful statistical techniques, may help to improve our understanding of the relationship between adolescent hormones and daily measures of well-being.http://www.sciencedirect.com/science/article/pii/S1878929322001013DevelopmentPsychopathologyEndocrinologyAdolescence |
| spellingShingle | Julia E. Chafkin Joseph M. O’Brien Fortunato N. Medrano Hae Yeon Lee Robert A. Josephs David S. Yeager A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life Developmental Cognitive Neuroscience Development Psychopathology Endocrinology Adolescence |
| title | A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life |
| title_full | A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life |
| title_fullStr | A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life |
| title_full_unstemmed | A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life |
| title_short | A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life |
| title_sort | dual system machine learning approach reveals how daily pubertal hormones relate to psychological well being in everyday life |
| topic | Development Psychopathology Endocrinology Adolescence |
| url | http://www.sciencedirect.com/science/article/pii/S1878929322001013 |
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