Glucocorticoid receptor polymorphisms modulate cardiometabolic risk factors in patients in long-term remission of Cushing’s syndrome

Abstract Background The long-term effect of potato consumption on mortality and cardiometabolic risk factors is still largely unknown. Purpose Using the National Health and Nutrition Examination Surveys (NHANES) 1999–2010, we evaluated the long-term impact of potato intake on total and cause-specific (cardiovascular disease [CVD],cerebrovascular disease and cancer] mortality, and the results were next validated in the systematic review and meta-analysis of cohort studies investigating pooled associations of potato consumption with all-cause and cause-specific death. Methods Vital status through December 31, 2011 was ascertained. Cox proportional hazards were applied to determine the hazard ratios (HRs) and 95% confidence intervals (95% CIs) of mortality for each quartile of the potato intake, with the lowest quartile (Q1 – with the lowest intake) used as reference. We used adjusted Cox regression to determine the risk ratio (RR) and 95% CI, as well as random effects models and generic inverse variance methods to synthesize quantitative and pooled data, followed by a leave-one-out method for sensitivity analysis. Results Among the 24,856 participants included, 3433 deaths occurred during the mean follow-up of 6.4 years. In multivariate adjusted Cox models, total (42%), CVD (65%), cerebrovascular (26%) and cancer (52%) mortality risk was greater in individuals with higher potato consumption than those with the lowest intake (p<0.001 for all comparisons). However this link disappeared after adjustment for confounding factors (see Table below). Results from pooling current prospective studies with 73,717 participants revealed a non-significant association between total (RR: 1.25, 0.98–1.60, p=0.066), CVD (RR: 0.99, 0.90–1.08, p=0.845) and stroke mortality (RR: 0.94, 0.85–1.03, p=0.214) with potato consumption. Individuals with a higher potato intake had a less favorable profile of cardiometabolic factors, including greater WC (97.2 vs. 99.5 cm, p<0.001) and a less favorable profile of systolic and diastolic blood pressure, levels of triglycerides (TGs), high-density lipoprotein-cholesterol (HDL-C) and TG/HDL-C ratio (p<0.001 for all comparisons). HRs for mortality across potato intake. Conclusions Our results highlighted the neutral effect of potato intake on long-term mortalities; whereas potato consumption was adversely related to cardiometabolic risk factors. These findings should be taken into consideration for public health strategies, establishing the position for potatoes in the food pyramid. Acknowledgement/Funding None

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Long-term effect of CB1 blockade with rimonabant on cardiometabolic risk factors: two year results from the RIO-Europe Study †

European Heart Journal ◽

10.1093/eurheartj/ehn076 ◽

2008 ◽

Vol 29 (14) ◽

pp. 1761-1771 ◽

Cited By ~ 100

Author(s):

Luc F. Van Gaal ◽

André J. Scheen ◽

Aila M. Rissanen ◽

Stephan Rössner ◽

Corinne Hanotin ◽

...

Keyword(s):

Risk Factors ◽

Cardiometabolic Risk ◽

Term Effect ◽

Cardiometabolic Risk Factors ◽

Long Term Effect

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Vitamin D Status and Cardiometabolic Risk Factors in Long-Term Psychiatric Inpatients

The Primary Care Companion For CNS Disorders ◽

10.4088/pcc.11m01221 ◽

2012 ◽

Cited By ~ 1

Author(s):

Anwar K. Abdullah ◽

Salman Khan ◽

Shaheen F. Mustafa ◽

Abu A. Qutubuddin ◽

Charles M. Davis

Keyword(s):

Risk Factors ◽

Vitamin D ◽

Cardiometabolic Risk ◽

Psychiatric Inpatients ◽

Cardiometabolic Risk Factors ◽

Vitamin D Status

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Cardiometabolic Risk Factors in Pregnancy and Implications for Long-Term Health: Identifying the Research Priorities for Low-Resource Settings

Frontiers in Cardiovascular Medicine ◽

10.3389/fcvm.2020.00040 ◽

2020 ◽

Vol 7 ◽

Author(s):

Shobhana Nagraj ◽

Stephen H. Kennedy ◽

Robyn Norton ◽

Vivekananda Jha ◽

Devarsetty Praveen ◽

...

Keyword(s):

Risk Factors ◽

Cardiometabolic Risk ◽

Research Priorities ◽

Cardiometabolic Risk Factors ◽

Low Resource Settings ◽

Low Resource ◽

In Pregnancy

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Patterns of Weight Change One Year after Delivery Are Associated with Cardiometabolic Risk Factors at Six Years Postpartum in Mexican Women

Nutrients ◽

10.3390/nu12010170 ◽

2020 ◽

Vol 12 (1) ◽

pp. 170 ◽

Cited By ~ 4

Author(s):

Diana C. Soria-Contreras ◽

Belem Trejo-Valdivia ◽

Alejandra Cantoral ◽

María Luisa Pizano-Zárate ◽

Andrea A. Baccarelli ◽

...

Keyword(s):

Risk Factors ◽

Insulin Resistance ◽

Weight Change ◽

Cardiometabolic Risk ◽

Density Lipoprotein ◽

Cardiometabolic Risk Factors ◽

Lipoprotein Cholesterol ◽

Postpartum Weight ◽

One Year

Pregnancy is a contributor to the obesity epidemic in women, probably through postpartum weight retention (PPWR), weight gain (PPWG), or a combination of both (PPWR + WG). The contribution of these patterns of postpartum weight change to long-term maternal health remains understudied. In a secondary analysis of 361 women from the prospective cohort PROGRESS, we evaluated the associations between patterns of weight change one year after delivery and cardiometabolic risk factors at six years postpartum. Using principal component analysis, we grouped cardiometabolic risk factors into: (1) body mass index (BMI), waist circumference (WC), homeostatic model assessment of insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), and glucose; (2) systolic (SBP) and diastolic blood pressure (DBP); and (3) low-density lipoprotein cholesterol and total cholesterol. Using path analysis, we studied direct (patterns of weight change-outcomes) and indirect associations through BMI at six years postpartum. Around 60% of women returned to their pregestational weight (reference) by one year postpartum, 6.6% experienced PPWR, 13.9% PPWG, and 19.9% PPWR + WG. Women with PPWR + WG, vs. the reference, had higher BMI and WC at six years (2.30 kg/m2, 95% CI [1.67, 2.93]; 3.38 cm [1.14, 5.62]). This was also observed in women with PPWR (1.80 kg/m2 [0.80, 2.79]; 3.15 cm [−0.35, 6.65]) and PPWG (1.22 kg/m2 [0.53, 1.92]; 3.32 cm [0.85, 5.78]). PPWR + WG had a direct association with HOMA-IR (0.21 units [0.04, 0.39]). The three patterns of weight change, vs. the reference, had significant indirect associations with HOMA-IR, glucose, TG, HDL-c, SBP, and DBP through BMI at six years. In conclusion, women with PPWR + WG are at high-risk for obesity and insulin resistance. Interventions targeting women during pregnancy and the first year postpartum may have implications for their long-term risk of obesity and cardiovascular disease.

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