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Salivary Cortisol Profile Under Different Stressful Situations in Female College Students: Moderating Role of Anxiety and Sleep.

ABSTRACT: OBJECTIVES:This study investigated the level of cortisol under different stressful situations and its relationship with sleep and anxiety in female college students. METHODS:Salivary cortisol was measured 6 times a day during a routine period free of examination stress and a stressful period. Area under the curve (AUC) was calculated for cortisol level for awakening response (AUCAG) and during the day (AUCTG). Sleep characteristics and anxiety were measured using an actigraph and the Spielberger State-Trait Anxiety Inventory, respectively, during the different periods. RESULTS:Thirty-six people participated in the study. During the stressful period, anxiety had a positive correlation with sleep efficiency (P = .020), wake after sleep onset (P = .023), and mean wake episodes during sleep (P = .048). Poorer sleep efficiency (P = .014), greater wake after sleep onset (P = .008), and mean wake episodes during sleep (P = .044) were significantly associated with less AUCAG. Trait anxiety was significantly higher in participants with greater AUCTG (P = .008). CONCLUSIONS:Female college students with increased anxiety under the stressful situation slept better. Those with poor sleep showed attenuated morning cortisol secretion. Those with higher trait anxiety had greater cortisol during the day.

SUBMITTER: Suh M

PROVIDER: S-EPMC6135468 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Salivary Cortisol Profile Under Different Stressful Situations in Female College Students: Moderating Role of Anxiety and Sleep.

Suh Minhee M

The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses 20181001 5

<h4>Objectives</h4>This study investigated the level of cortisol under different stressful situations and its relationship with sleep and anxiety in female college students.<h4>Methods</h4>Salivary cortisol was measured 6 times a day during a routine period free of examination stress and a stressful period. Area under the curve (AUC) was calculated for cortisol level for awakening response (AUCAG) and during the day (AUCTG). Sleep characteristics and anxiety were measured using an actigraph and ...[more]

PMID: 30157098

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Project description:BackgroundOver 40% of Taiwanese College students experience sleep problems that not only impair their quality of life but also contribute to psychosomatic disorders. Of all the factors affecting the sleep quality, internet surfing is among one of the most prevalent. Female college students are more vulnerable to internet-associated sleep disorders than their male counterparts. Therefore, this study aims to investigate (1) the relationship between internet addiction and sleep quality, and (2) whether significant variations in sleep quality exist among students with different degrees of internet use.MethodsThis structured questionnaire-based cross-sectional study enrolled students from a technical institute in southern Taiwan. The questionnaire collected information on the following three aspects: (1) demography, (2) sleep quality with Pittsburgh Sleep Quality Index (PSQI), and (3) severity of internet addiction using a 20-item Internet Addiction Test (IAT). Multiple regression analysis was performed to examine the correlation between PSQI and IAT scores among the participants. Logistic analysis was used to determine the significance of association between PSQI and IAT scores.ResultsIn total, 503 female students were recruited (mean age 17.05 ± 1.34). After controlling for age, body mass index, smoking and drinking habits, religion, and habitual use of smartphone before sleep, internet addiction was found to be significantly associated with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, use of sleep medication, and daytime dysfunction. Worse quality of sleep as reflected by PSQI was noted in students with moderate and severe degrees of internet addiction compared to those with mild or no internet addiction. Logistic regression analysis of the association between scores on IAT and sleep quality, demonstrated significant correlations between quality of sleep and total IAT scores (odds ratio = 1.05:1.03 ∼ 1.06, p < 0.01).ConclusionThe results of this study demonstrated significant negative association between the degree of internet addiction and sleep quality, providing reference for educational institutes to minimize adverse effects associated with internet use and improve students' sleep quality.

Project description:IntroductionBrain-derived neurotrophic factor (BDNF) is essential for brain physiological processes influencing memory and learning. BDNF levels can be affected by many factors, including stress. Stress increase serum and salivary cortisol levels. Academic stress is of the chronic type. BDNF levels can be measure from serum, plasma or platelets, and there is still no standard methodology, which is relevant to ensure reproducibility and comparability between studies.Hypothesis(i) BDNF concentrations in serum show greater variability than in plasma. (ii) In college students with academic stress, peripheral BDNF decreases and salivary cortisol increases.General objectiveTo standardize plasma and serum collection for BDNF levels and to determine whether academic stress affects peripheral BDNF and salivary cortisol levels.DesignQuantitative research, with a non-experimental cross-sectional descriptive design.ParticipantsStudent volunteers. Under convenience sampling, 20 individuals will be included for standardization of plasma and serum collection and between 70 and 80 individuals to determine the effect of academic stress on BDNF and salivary cortisol.Peripheral blood and salivary cortisol sampling, measurements12 mL of peripheral blood (with and without anticoagulant) will be drawn per participant, separated from plasma or serum and cryopreserved at -80°C. Additionally, they will be instructed in the collection of 1 mL of saliva samples, which will be centrifuged. Val66Met polymorphism will be performed by allele-specific PCR, while BDNF and salivary cortisol levels will be determined by ELISA.Statistical analysis(i) descriptive analysis of the variables, through measures of central tendency and dispersion, and the categorical variables through their frequency and percentage. (ii) Then a bivariate analysis will be performed comparing groups using each variable separately.Expected resultsWe expect to (i) determine the analytical factors that allow a better reproducibility in the measurement of peripheral BDNF, and (ii) the effect of academic stress on BDNF and salivary cortisol levels.

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Salivary Cortisol Profile Under Different Stressful Situations in Female College Students: Moderating Role of Anxiety and Sleep.

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Salivary Cortisol Profile Under Different Stressful Situations in Female College Students: Moderating Role of Anxiety and Sleep.

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