hair cortisol
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Author(s):  
Holly Horan ◽  
Melissa Cheyney ◽  
Eduardo Gomez Torres ◽  
Geeta Eick ◽  
Marit Bovbjerg ◽  
...  

Author(s):  
Leigh Luella van den Heuvel ◽  
Anna Margaretha Smit ◽  
Tobias Stalder ◽  
Clemens Kirschbaum ◽  
Soraya Seedat ◽  
...  

2022 ◽  
Vol 226 (1) ◽  
pp. S395-S396
Author(s):  
Adeola M. Awomolo ◽  
Shaheda Urmi ◽  
Adriana Campos ◽  
Samia Dutra ◽  
Ronee Wilson ◽  
...  

Stress ◽  
2021 ◽  
pp. 1-15
Author(s):  
Rebekka Lynch ◽  
Thor Aspelund ◽  
Matthías Kormáksson ◽  
Mario H. Flores-Torres ◽  
Arna Hauksdóttir ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Megan Galbally ◽  
Stuart J. Watson ◽  
Marinus H. van IJzendoorn ◽  
Anne Tharner ◽  
Maartje Luijk ◽  
...  

Abstract Childhood anxiety disorders (CAD) are a common childhood mental disorder and understanding early developmental pathways is key to prevention and early intervention. What is not understood is whether early life stress predictors of CAD might be both mediated by infant cortisol reactivity and moderated by infant attachment status. To address this question, this exploratory study draws on 190 women recruited in early pregnancy and followed together with their children until 4 years of age. Early life stress is operationalized as maternal depression measured using the Structured Clinical Interview for the DSM, Childhood Trauma Questionnaire, Parenting Stress Index, and antenatal maternal hair cortisol concentrations. Infant cortisol reactivity was measured at 12 months together with the Strange Situation Procedure and CAD assessed at 4 years of age using the Preschool Age Psychiatric Assessment. There was no direct association between attachment classification and CAD. Furthermore, infant cortisol reactivity neither mediated nor attachment moderated the association of early life stress predictors and CAD. However, only for infants with organized attachment classifications, higher maternal antenatal depression, and hair cortisol were associated with a higher risk of CAD.


2021 ◽  
Vol 2 ◽  
Author(s):  
Lena-Mari Tamminen ◽  
Linda J. Keeling ◽  
Anna Svensson ◽  
Laurie Briot ◽  
Ulf Emanuelson

Using levels of the stress hormone cortisol as an indicator for welfare is a common, but debated practice. In this observational study, hair cortisol concentration (HCC) of samples from 196 dairy calves from 7 to 302 days of age collected from 12 Swedish farms was determined using a commercially available ELISA. An assessment of animal welfare, assessed using animal-based indicators, was performed on the day of sampling. First, methodological factors with the potential to impact HCC and the effect of age were analyzed using generalized additive models. This revealed a significant peak in hair cortisol in young calves (around 50 days of age) and an association between fecal contamination of hair samples and the level of cortisol extracted. Second, associations between welfare indicators and HCC were explored using cluster analysis and regularized regression. The results show a complex pattern, possibly related to different coping styles of the calves, and indicators of poor welfare were associated with both increased and decreased hair cortisol levels. High cortisol levels were associated with potential indicators of competition, while low cortisol levels were associated with the signs of poor health or a poor environment. When running the regularized regression analysis without the contaminated hair samples and with the contaminated samples (including a contamination score), the results did not change, indicating that it may be possible to use a contamination score to correct for contamination.


2021 ◽  
Vol 53 ◽  
pp. S587-S588
Author(s):  
K.F. Ahrens ◽  
R.J. Neumann ◽  
N.M. Von Werthern ◽  
T.M. Kranz ◽  
B. Kollmann ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Darya S. Abdulateef

AbstractInconsistent results were found throughout the literature regarding factors affecting hair cortisol levels. Hair cortisol level in humans was not studied for its associations to scalp hair sweating or hair wash frequency in a patient-based way. Factors affecting hair cortisol levels must be precisely known in order to interpret the results correctly. The aims of the study are to assess if BMI, Perceived Stress Scale (PSS), hair wash frequency, and sweating with scalp hair affect hair cortisol levels. It will assess which of these factors are more significant predictors of hair cortisol levels. In a study on healthy adults, information about history, socio-demographics, PSS, hair wash frequency, hair treatment, and scalp hair sweating were collected, and hair samples were taken and analyzed for their hair cortisol level. Associations of hair cortisol levels with each of the variables were investigated and significant predictors of hair cortisol levels among the variables were found. Mean hair cortisol level in the study participants was 16.84 pg/mg hair. Hair cortisol has a significant positive association with weight, BMI, PSS, and scalp hair sweating, p < 0.05. Scalp hair sweating significantly predicts hair cortisol levels by 12.3%, while other variables did not significantly predict hair cortisol levels, p < 0.05. Scalp hair sweating significantly predicts hair cortisol levels. Age, hair wash frequency, hair treatment, and stressful events have no associations with hair cortisol levels. Although BMI and PSS are associated with hair cortisol levels, they do not significantly predict it. Obesity is significantly associated with profuse sweating, thus the increase in hair cortisol levels in obese individuals could partly be the result of a higher incidence of sweating in these individuals. Thus, scalp hair sweating should be taken into consideration during the study and interpretation of hair cortisol levels.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Suzanne Thomas ◽  
Louise Stephens ◽  
Tracey A. Mills ◽  
Christine Hughes ◽  
Alan Kerby ◽  
...  

Abstract Background The grief associated with the death of a baby is enduring, however most women embark on another pregnancy, many in less than a year following their loss. Symptoms of anxiety and depression are reported to be increased in pregnancies after perinatal death, although effect on maternal stress is less clear. Variation between individual studies may result from differences in gestation at sampling, the questionnaire used and the type of antecedent perinatal death. We aimed to describe quantitative measures of anxiety, depression, stress and quality of life at different timepoints in pregnancies after perinatal death and in the early postnatal period. Methods Women recruited from three sites in the North-West of England. Women were asked to participate if a previous pregnancy had ended in a perinatal death. Participants completed validated measures of psychological state (Cambridge Worry Score, Edinburgh Postnatal Depression Score (EPDS), Generalized Anxiety Disorder 7-item score) and health status (EQ-5D-5L™ and EQ5D-Visual Analogue Scale) at three time points, approximately 15 weeks’ and 32 weeks’ gestation and 6 weeks postnatally. A sample of hair was taken at approximately 36 weeks’ gestation for measurement of hair cortisol in a subgroup of women. The hair sample was divided into samples from each trimester and cortisol measured by ELISA. Results In total 112 women participated in the study. Measures of anxiety and depressive symptoms decreased from the highest levels at 15 weeks’ gestation to 6-weeks postnatal (for example mean GAD-7: 15 weeks 8.2 ± 5.5, 6 weeks postnatal 4.4 ± 5.0, p<0.001). Hair cortisol levels fell in a similar profile to anxiety and depression symptoms (p<0.05). In contrast, the median EQ-5D index, measuring health status was 0.768 at 15 weeks’ gestation (Interquartile range (IQR) 0.684-0.879), 0.696 at 32 weeks’ (IQR 0.637-0.768) and 0.89 (0.760-1.00) at 6 weeks postnatal. There was a negative relationship between EPDS and perceived health status. Conclusions This study demonstrated heightened anxiety and depressive symptoms and elevated cortisol levels in women in pregnancies after a stillbirth or neonatal death which decrease as pregnancy progresses. Further studies are needed to determine optimal care for women to address these negative psychological consequences.


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