{"title":"健康男性体内睾酮和皮质醇之间的每日耦合:使用连续时间模型的积极和双向时间滞后关联的证据","authors":"Blair T Crewther, Martin Hecht, Christian J Cook","doi":"10.1007/s40750-021-00162-8","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>The hypothalamic-pituitary-gonadal (HPG) and -adrenal (HPA) axes are traditional viewed as mutually inhibitory systems. However, several diurnal studies have reported positive within-person testosterone and cortisol relationships, as evidence of facilitative processes, but with some constraints (e.g., low-frequency sampling, use of static longitudinal models). Continuous-time (CT) models can help illuminate testosterone-cortisol “coupling” by testing for bidirectional, cross-lagged effects.</p><h3>Methods</h3><p>This study investigated diurnal testosterone and cortisol coupling in healthy males (<i>n</i> = 30) using high-frequency sampling protocols. Participants self-collected saliva at work or home using one of three sampling formats; every 10 mins for 9 h, 15 mins for 8 h, and 30 mins for 10 h. After detrending, daily within-person fluctuations in testosterone and cortisol concentration were modeled in a CT framework.</p><h3>Results</h3><p>Autoregressive effects for each hormone indicated moderate stability over a shorter period (~6 mins), as a mean-reverting process, and higher stability over longer time periods. Cross-lagged effects were also demonstrated, with testosterone showing a positive relationship to cortisol (.12 within-person standardized effect) and cortisol to testosterone (.08). Both linkages followed a non-linear trajectory, rising in strength from a zero-time lag to peak with a lag of ~8 mins before dissipation beyond this period.</p><h3>Conclusion</h3><p>We verified reports of positive within-person coupling between testosterone and cortisol across the day in healthy men. Added novelty comes from bidirectional and time-lagged associations on hormonal pulses, although the effect sizes were small. Hence, we offer a more nuanced understanding of HPG and HPA crosstalk within a CT framework.</p></div>","PeriodicalId":7178,"journal":{"name":"Adaptive Human Behavior and Physiology","volume":"7 2","pages":"89 - 104"},"PeriodicalIF":1.2000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40750-021-00162-8","citationCount":"6","resultStr":"{\"title\":\"Diurnal Within-Person Coupling Between Testosterone and Cortisol in Healthy Men: Evidence of Positive and Bidirectional Time-Lagged Associations Using a Continuous-Time Model\",\"authors\":\"Blair T Crewther, Martin Hecht, Christian J Cook\",\"doi\":\"10.1007/s40750-021-00162-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>The hypothalamic-pituitary-gonadal (HPG) and -adrenal (HPA) axes are traditional viewed as mutually inhibitory systems. However, several diurnal studies have reported positive within-person testosterone and cortisol relationships, as evidence of facilitative processes, but with some constraints (e.g., low-frequency sampling, use of static longitudinal models). Continuous-time (CT) models can help illuminate testosterone-cortisol “coupling” by testing for bidirectional, cross-lagged effects.</p><h3>Methods</h3><p>This study investigated diurnal testosterone and cortisol coupling in healthy males (<i>n</i> = 30) using high-frequency sampling protocols. Participants self-collected saliva at work or home using one of three sampling formats; every 10 mins for 9 h, 15 mins for 8 h, and 30 mins for 10 h. After detrending, daily within-person fluctuations in testosterone and cortisol concentration were modeled in a CT framework.</p><h3>Results</h3><p>Autoregressive effects for each hormone indicated moderate stability over a shorter period (~6 mins), as a mean-reverting process, and higher stability over longer time periods. Cross-lagged effects were also demonstrated, with testosterone showing a positive relationship to cortisol (.12 within-person standardized effect) and cortisol to testosterone (.08). Both linkages followed a non-linear trajectory, rising in strength from a zero-time lag to peak with a lag of ~8 mins before dissipation beyond this period.</p><h3>Conclusion</h3><p>We verified reports of positive within-person coupling between testosterone and cortisol across the day in healthy men. Added novelty comes from bidirectional and time-lagged associations on hormonal pulses, although the effect sizes were small. Hence, we offer a more nuanced understanding of HPG and HPA crosstalk within a CT framework.</p></div>\",\"PeriodicalId\":7178,\"journal\":{\"name\":\"Adaptive Human Behavior and Physiology\",\"volume\":\"7 2\",\"pages\":\"89 - 104\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2021-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s40750-021-00162-8\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Adaptive Human Behavior and Physiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s40750-021-00162-8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHOLOGY, BIOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adaptive Human Behavior and Physiology","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s40750-021-00162-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, BIOLOGICAL","Score":null,"Total":0}
Diurnal Within-Person Coupling Between Testosterone and Cortisol in Healthy Men: Evidence of Positive and Bidirectional Time-Lagged Associations Using a Continuous-Time Model
Objective
The hypothalamic-pituitary-gonadal (HPG) and -adrenal (HPA) axes are traditional viewed as mutually inhibitory systems. However, several diurnal studies have reported positive within-person testosterone and cortisol relationships, as evidence of facilitative processes, but with some constraints (e.g., low-frequency sampling, use of static longitudinal models). Continuous-time (CT) models can help illuminate testosterone-cortisol “coupling” by testing for bidirectional, cross-lagged effects.
Methods
This study investigated diurnal testosterone and cortisol coupling in healthy males (n = 30) using high-frequency sampling protocols. Participants self-collected saliva at work or home using one of three sampling formats; every 10 mins for 9 h, 15 mins for 8 h, and 30 mins for 10 h. After detrending, daily within-person fluctuations in testosterone and cortisol concentration were modeled in a CT framework.
Results
Autoregressive effects for each hormone indicated moderate stability over a shorter period (~6 mins), as a mean-reverting process, and higher stability over longer time periods. Cross-lagged effects were also demonstrated, with testosterone showing a positive relationship to cortisol (.12 within-person standardized effect) and cortisol to testosterone (.08). Both linkages followed a non-linear trajectory, rising in strength from a zero-time lag to peak with a lag of ~8 mins before dissipation beyond this period.
Conclusion
We verified reports of positive within-person coupling between testosterone and cortisol across the day in healthy men. Added novelty comes from bidirectional and time-lagged associations on hormonal pulses, although the effect sizes were small. Hence, we offer a more nuanced understanding of HPG and HPA crosstalk within a CT framework.
期刊介绍:
Adaptive Human Behavior and Physiology is an international interdisciplinary scientific journal that publishes theoretical and empirical studies of any aspects of adaptive human behavior (e.g. cooperation, affiliation, and bonding, competition and aggression, sex and relationships, parenting, decision-making), with emphasis on studies that also address the biological (e.g. neural, endocrine, immune, cardiovascular, genetic) mechanisms controlling behavior.