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- Bengtsson, Inger M., 1944, et al.
(författare)
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The cortisol awakening response and the metabolic syndrome in a population-based sample of middle-aged men and women.
- 2010
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Ingår i: Metabolism. - : Elsevier BV. - 0026-0495 .- 1532-8600. ; 59:7, s. 1012-9
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Tidskriftsartikel (refereegranskat)abstract
- The objective was to explore the relationship between the cortisol awakening response (CAR) and the metabolic syndrome (MetS) as defined by the National Cholesterol Education Program criteria. The final study sample consisted of 91 women (14 with MetS) and 84 men (15 with MetS), aged 45 to 70 years, from a general population sample. The only exclusion criteria were no consent, pregnancy, or insufficient cortisol testing. On the day of measurement (weekday), salivary cortisol was sampled at awakening and 15 minutes after awakening. Relative CAR (CAR%) and the MetS were the main variables studied. Results showed that, in women with the MetS, cortisol at awakening was significantly lower (mean, 8.92 vs 12.33 nmol/L; P = .05) and the CAR was significantly higher (91.4% vs 36.5%, P < .001) than in women without the syndrome. Significant difference in the relative CAR was also present between men and women with MetS (38.5% and 91.4%, respectively; P = .02). No difference was seen in the awakening response comparing men with and without the MetS. In a regression model, the response to awakening was dependent on the MetS in women (F1,89 = 13.19, P < .001); but the model was not significant in men. Furthermore, the awakening response was associated with more depressive symptoms in women (F1,80 = 8.12, P = .01) and with weekday/weekend cortisol sampling in men (F1,82 = 4.63, P = .03). The association between the relative CAR and the MetS remained significant but somewhat attenuated after adjusting for depressive symptoms (P = .01). Results indicate a sex difference in the CAR% in the presence of the MetS independent of depressive symptoms, a known correlate of the MetS.
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| 2. |
- Sakao, T., et al.
(författare)
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AI-LCE : Adaptive and Intelligent Life Cycle Engineering by applying digitalization and AI methods-An emerging paradigm shift in Life Cycle Engineering
- 2021
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Ingår i: Procedia CIRP. - : Elsevier B.V.. - 2212-8271. ; , s. 571-576
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Konferensbidrag (refereegranskat)abstract
- This paper presents a vision for a much-needed paradigm shift in Life Cycle Engineering (LCE), which is termed Adaptive and Intelligent Life Cycle Engineering (AI-LCE). To do so, interdisciplinary analysis of literature in domains of AI and LCE is performed. Needed concepts and methods are described: key enabling technologies are Artificial Intelligence (AI), the Internet of Things, and data lakes, which are becoming cost-effective and increasingly implemented in industry. Both artificial and human intelligence are used in combination. Its advantages compared with the conventional LCE include shorter time for changing activities in the lifecycle and the accuracy of changes made.
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