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Patterns of neuroendocrine coupling in 9-year-old children: Effects of sex, body-mass index, and life stress

Overview of attention for article published in Biological Psychology, November 2017
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Article details
Title
Patterns of neuroendocrine coupling in 9-year-old children: Effects of sex, body-mass index, and life stress
Published in
Biological Psychology, November 2017
DOI 10.1016/j.biopsycho.2017.11.004
Pubmed ID
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Abstract

Previous investigations have explored stress and pubertal hormones in parallel; it has been a recent development, however, to explore the relationships between different hormones during puberty, and how this hormonal cross-talk may be influenced by the environment. The current study investigated neuroendocrine coupling, or the extent to which hormones are correlated within the individual, and also investigated early life stressors that may influence coupling. Participants were 405 adrenarcheal children (mean Tanner stage=1.73 for girls and 1.38 for boys) from a longitudinal study who provided saliva samples for analysis of cortisol, dehydroepiandrosterone (DHEA), and testosterone. Saliva was collected when children were 9-years-old, while early life stressors were assessed at each longitudinal assessment (ages 3, 6, and 9). Results from multi-level modeling (MLM) analyses provided evidence of positive cortisol-dehydroepiandrosterone (DHEA) and cortisol-testosterone coupling in middle childhood, and identified body mass index as a predictor of the strength of hormone coordination. While exposure to stressful life events did not impact cortisol-DHEA coupling patterns, stress interacted with sex to predict looser cortisol-testosterone coupling in girls, but not boys. The current study adds to the existing literature on the development of neuroendocrine coupling, and provided further evidence of sex differences in the impact of stress. Furthermore, hormone coupling may be investigated in the future as a mechanism by which puberty is associated with negative behavioral outcomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 11 16%
Researcher 8 12%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 5 7%
Professor 3 4%
Other 9 13%
Unknown 25 37%
Readers by discipline
Readers by discipline Count As %
Psychology 14 21%
Nursing and Health Professions 8 12%
Neuroscience 6 9%
Sports and Recreations 2 3%
Social Sciences 2 3%
Other 5 7%
Unknown 31 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Biological Psychology
#1,397
of 1,806 outputs
Outputs of similar age
#232,802
of 318,891 outputs
Outputs of similar age from Biological Psychology
#17
of 29 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.