Hair and fingernail cortisol and the onset of acute coronary syndrome in the middle-aged and elderly men
| Autor: | Masatoshi Nagayama, Shuhei Izawa, Haruyo Yamada, Keiichi Miki, Masao Tsuchiya |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Acute coronary syndrome medicine.medical_specialty Hydrocortisone Endocrinology Diabetes and Metabolism Cardiovascular risk factors Logistic regression 03 medical and health sciences 0302 clinical medicine Endocrinology Risk Factors Long period Internal medicine Humans Medicine Acute Coronary Syndrome Cortisol level Biological Psychiatry Aged integumentary system Endocrine and Autonomic Systems business.industry Middle Aged medicine.disease 030227 psychiatry Psychiatry and Mental health Increased risk Nails Case-Control Studies business Biomarkers Stress Psychological 030217 neurology & neurosurgery Hair Hormone |
| Zdroj: | Psychoneuroendocrinology. 101:240-245 |
| ISSN: | 0306-4530 |
| DOI: | 10.1016/j.psyneuen.2018.11.021 |
| Popis: | Cortisol levels in hair and fingernail samples could represent hormone levels that have accumulated over the past weeks and months. In this study, by using retrospective indexes, the associations between cortisol and the onset of acute coronary syndrome (ACS) were investigated among middle-aged and elderly men. We measured hair/fingernail cortisol levels in 73 ACS patients and 93 healthy controls; hair and fingernail samples for ACS patients were collected within a few weeks after the onset of ACS. The results indicated the patients exhibited significantly higher cortisol levels in their hair and fingernails compared with the healthy controls. In multivariate logistic regression analyses, adjusting for the traditional cardiovascular risk factors for ACS, high levels of hair or fingernail cortisol were associated with two- to three-fold increased risk of ACS, compared with low levels. We demonstrated that cortisol exposure over a relatively long period, assessed by hair and fingernail samples, was associated with the onset of ACS. |
| Databáze: | OpenAIRE |
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