首页> 外文期刊>Stress: the international journal on the biology of stress >Balancing scientific accuracy and participant burden: testing the impact of sampling intensity on diurnal cortisol indices
【24h】

Balancing scientific accuracy and participant burden: testing the impact of sampling intensity on diurnal cortisol indices

机译:平衡科学准确性和参与者负担:测试采样强度对昼夜皮质醇指数的影响

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Despite the increasing popularity of incorporating salivary cortisol measurement into health and social science research, relatively little empirical work has been conducted on the number of saliva samples across the day required to capture key features of the diurnal cortisol rhythm, such as the diurnal cortisol slope, the area under the curve (AUC), and the cortisol awakening response (CAR). The primary purpose of this study is to compare slope, AUC, and CAR measures obtained from an intensive sampling protocol with estimates from less intensive protocols, to identify sampling protocols with minimal participant burden that still provide reasonably accurate assessment of each of these measures. Twenty-four healthy adults provided samples four times in the first hour awake, and then every hour throughout the rest of the day until bedtime (M=17.8 samples/day; SD=2.0), over two consecutive days (N=862 total samples). We compared measures calculated from this maximum intensity protocol to measures calculated from two to six sampling points per day. Overall, results show that salivary cortisol protocols with two fixed samples (waking and bedtime) and three additional daily samples, closely approximates the full cortisol decline (slope). Abbreviated sampling protocols of total cortisol exposure across the day (AUC), however, were not well approximated by reduced sampling protocols. CAR measures based on only two samples, including waking cortisol and a second sample measured at a fixed time point between 30 and 60min after waking, provided a measure of the CAR that closely approximated CAR measures obtained from 3 or 4 sampling points.
机译:None

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号