scholarly journals A prospective study of low fasting glucose with cardiovascular disease events and all-cause mortality: The Women's Health Initiative

Metabolism ◽  
2017 ◽  
Vol 70 ◽  
pp. 116-124 ◽  
Author(s):  
Morgana Mongraw-Chaffin ◽  
Andrea Z. LaCroix ◽  
Dorothy D. Sears ◽  
Lorena Garcia ◽  
Lawrence S. Phillips ◽  
...  
Circulation ◽  
2007 ◽  
Vol 115 (7) ◽  
pp. 855-860 ◽  
Author(s):  
Judith Hsia ◽  
Karen L. Margolis ◽  
Charles B. Eaton ◽  
Nanette K. Wenger ◽  
Matthew Allison ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 472-473
Author(s):  
Kenneth Pike ◽  
Barbara Cochrane ◽  
Nancy Woods ◽  
Eileen Rillamas-Sun

Abstract To study the relationship between well-being and all-cause mortality, we estimated mortality among women in four classes of well-being using the well-being profile from the Women’s Health Initiative Study (WHI). Demographic characteristics were self-reported at enrollment (1993-98). All-cause mortality included death from any cause between 2012-2020. We used logistic regression to examine all-cause mortality risk across the classes, using Class 4 (highest hedonic and eudaemonic well-being scores) as the referent, adjusting for age and race. Compared to Class 4, all other classes had higher age- and race-adjusted odds of death. Highest risks were in Class 1 women (OR=2.61; 95% CI: 2.46-2.76) and Class 3 women (OR=1.62; 95% CI: 1.55-1.68). Women in Class 4 had the lowest risk of all-cause mortality over an 18-year follow-up. These results confirm the utility of a profile of well-being for predicting all-cause mortality while preserving ability to identify the differences among well-being indicators across classes.


2019 ◽  
Vol 49 (1) ◽  
pp. 289-300 ◽  
Author(s):  
Raji Balasubramanian ◽  
Nina P Paynter ◽  
Franco Giulianini ◽  
JoAnn E Manson ◽  
Yibai Zhao ◽  
...  

Abstract Background Metabolomics profiling has shown promise in elucidating the biological pathways underpinning mortality, but there are limited data in female populations. Methods We applied a liquid chromatography-tandem mass spectrometry metabolomics platform to EDTA-plasma to measure 470 metabolites at baseline in a discovery set of 943 postmenopausal women (including 417 incident deaths, median time to death of 10.6 years) with validation in an independent set of 1355 postmenopausal women (including 685 deaths, median time to death of 9.1 years) in the Women’s Health Initiative. Results Eight new metabolites were discovered to be associated with all-cause mortality. Findings included protective effects of increased levels of three amino acids (asparagine, homoarginine and tryptophan) and docosatrienoic acid; and detrimental effects of increased levels of C4-OH-carnitine, hexadecanedioate and two purine/pyrimidines (N2, N2-dimethylguanosine and N4-acetylcytidine). In addition, a set of nine previously published metabolite associations were replicated. A metabolite score comprising 17 metabolites was associated with mortality (P < 10–8) after adjustment for risk factors, with a hazard ratio of 1.95 (95% CI: 1.46–2.62) for women in the highest quartile compared with the lowest quartile of metabolite score. The score was robust among younger women and older women, for both cardiovascular and non-cardiovascular mortality, and associated with both early deaths (within the first 10 years of baseline) and later deaths. Conclusions Our study fills a gap in the literature by identifying eight novel metabolite associations with all-cause mortality in women, using a robust study design involving independent discovery and validation datasets.


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