Keyword search (4,164 papers available)

"cortisol" Keyword-tagged Publications:

Title Authors PubMed ID
1 Hypothalamic-pituitary-adrenal axis function in the offspring of parents with bipolar disorder and the impact of the family environment: A pilot study of the Reducing Unwanted Stress in the Home (RUSH) prevention program Ping EY; Herriot H; Iacono V; Serravalle L; Ellenbogen MA; 39357242
PSYCHOLOGY
2 Hypothalamic-pituitary-adrenal axis functioning in offspring of parents with a major affective disorder: a meta-analytic review Serravalle L; Trespalacios F; Ellenbogen MA; 39207496
CRDH
3 Poor sleep as a pathophysiological pathway underlying the association between stressful experiences and the diurnal cortisol profile among children and adolescents Ly J; McGrath JJ; Gouin JP; 25889840
PERFORM
4 Mothers of disabled infants had higher cortisol levels in a free-ranging group of Japanese macaques (Macaca fuscata) Turner SE; Fedigan LM; Joyce MM; Matthews HD; Moriarity RJ; Nobuhara H; Nobuhara T; Stewart BM; Shimizu K; 37189289
CONCORDIA
5 Psychophysiological adjustment to formal education varies as a function of peer status and socioeconomic status in children beginning kindergarten Wright L; Lopez LS; Camargo G; Bukowski WM; 34964493
PSYCHOLOGY
6 Behavioural, physical, and psychological predictors of cortisol and C-reactive protein in breast cancer survivors: A longitudinal study Lambert M; Sabiston CM; Wrosch C; Brunet J; 34589720
PSYCHOLOGY
7 Indirect effects of HPA axis dysregulation in the association between peer victimization and depressed affect during early adolescence Adams RE; Santo JB; Bukowski WM; 34325208
PSYCHOLOGY
8 Gender is Key: Girls' and Boys' Cortisol Differs as a Factor of Socioeconomic Status and Social Experiences During Early Adolescence. Wright L, Bukowski WM 33515375
PSYCHOLOGY
9 Stress-Related Trajectories of Diurnal Cortisol in Older Adulthood Over 12 Years. Herriot H, Wrosch C, Hamm JM, Pruessner JC 32866774
CONCORDIA
10 An investigation into socio-demographic-, health-, and cancer-related factors associated with cortisol and C-reactive protein levels in breast cancer survivors: a longitudinal study. Lambert M, Sabiston CM, Wrosch C, Brunet J 32488733
PSYCHOLOGY
11 Disaster-related prenatal maternal stress predicts HPA reactivity and psychopathology in adolescent offspring: Project Ice Storm. Yong Ping E, Laplante DP, Elgbeili G, Jones SL, Brunet A, King S 32442863
PSYCHOLOGY
12 Poor inhibition of personally-relevant facial expressions of sadness and anger predicts an elevated cortisol response following awakening six months later. Wong SF, Trespalacios F, Ellenbogen MA 32057777
PSYCHOLOGY
13 Life after breast cancer: moving on, sitting down or standing still? A prospective study of Canadian breast cancer survivors. Sabiston CM, Wrosch C, Fong AJ, Brunet J, Gaudreau P, O'Loughlin J, Meterissian S 30056387
PSYCHOLOGY
14 Self-compassion, chronic age-related stressors, and diurnal cortisol secretion in older adulthood Heather Herriot 29948541
PSYCHOLOGY

 

Title:Behavioural, physical, and psychological predictors of cortisol and C-reactive protein in breast cancer survivors: A longitudinal study
Authors:Lambert MSabiston CMWrosch CBrunet J
Link:https://pubmed.ncbi.nlm.nih.gov/34589720/
DOI:10.1016/j.bbih.2020.100180
Publication:Brain, behavior, & immunity - health
Keywords:Breast cancerC-reactive proteinCortisolMultilevel modelingPredictors
PMID:34589720 Category: Date Added:2021-09-30
Dept Affiliation: PSYCHOLOGY
1 School of Psychology, University of Ottawa, ON, Canada.
2 Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Canada.
3 Department of Psychology, Concordia University, Montreal, Canada.
4 School of Human Kinetics, University of Ottawa, Montpetit Hall, Room 339, Ottawa, ON K1N 6N5, Canada.

Description:

Background: Breast cancer survivors (BCS) can exhibit a dysregulation of cortisol and elevated C-reactive protein (CRP) levels post-treatment, which increase the risk of diverse health outcomes. Certain behavioural, physical, and psychological variables may help to predict cortisol and CRP levels post-treatment. The aims of this study were to: (1) describe naturally occurring changes in absolute diurnal cortisol and CRP levels over a period of 1.5 years post-treatment among BCS, (2) assess if absolute diurnal cortisol and CRP levels change in tandem, and (3) assess behavioural, physical, and psychological variables as predictors of absolute diurnal cortisol levels and CRP levels.

Methods: Capillary blood and saliva samples were collected from 201 BCS, on average, 3.5 months post-treatment (T1) and again 3, 6, 9, and 12 months later (T2-T5). At each time point, five saliva samples were collected on two nonconsecutive days: at awakening, 30 ?min after awakening, 2:00 p.m., 4:00 p.m., and at bedtime. At each time point, participants also completed self-report questionnaires and wore an accelerometer for seven consecutive days. Data were analyzed using multilevel modeling.

Results: Absolute diurnal cortisol levels did not change significantly over time. CRP levels decreased across time points (B linear ?= ?-0.31, p ?= ?.01), though the rate of decrease slowed over time (B quadratic ?= ?0.05, p ?= ?.03). Generally, greater sedentary time predicted higher overall absolute diurnal cortisol levels (B ?< ?0.01, p ?= ?.01); whereas higher physical activity (B ?= ?-0.004, p ?< ?.01), lower body mass index (B ?= ?0.10, p ?< ?.01), and lower health- and cancer-related stress (B ?= ?0.24, p ?= ?.04) predicted lower overall CRP levels. Also, lower absolute diurnal cortisol levels were evident when participants engaged in more sedentary time, as compared to their own average sedentary time (B ?= ?-0.01, p ?< ?.01).

Conclusions: Results offer insight into the nature of change in diurnal cortisol and CRP levels among BCS from treatment completion onwards and offer clinical implications. Helping BCS manage their weight, reduce stress, increase physical activity participation, and decrease sedentary time as soon as possible after treatment may help to reduce physiological dysregulations, thereby lowering the risk of adverse health outcomes in this population. Further research investigating specific intervention parameters such as type, context, frequency, and intensity are warranted for the development of the most optimal interventions.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University