The Effects of Intermittent Cold Exposure on Adipose Tissue DOI Open Access

Matthew C. Scott,

Scott Fuller

Published: Nov. 16, 2023

Intermittent cold exposure has garnered increased attention in popular culture, largely for its proposed effects on mood and immune function, but there are also suggestions that the energy wasting mechanisms associated with thermogenesis may decrease body weight fat mass. Considering continued worsening prevalence of obesity type II diabetes, any protocol can reduce and/or improve metabolic health would be a substantial boon. Here, we present narrative review exploring research related to ICE adipose tissue. Any publicly available original examining repeated bouts outcomes was included. While does not consistently lower bodyweight or mass, seem evidence as positive modulator consequences obesity, such glucose tolerance insulin signaling. Further, increases activity brown tissue (BAT) transitions white phenotype more line BAT. Lastly, combined exercise do provide additional benefit, at least when is done during bouts. The majority current literature based rodent models where animals housed rooms, which reflect protocols likely implemented humans cold-water immersion. Future could specifically characterize via water immersion combination controlled calorie intake clearly determine it looking reductions

Language: Английский

Association between METS-IR index and obstructive sleep apnea: evidence from NHANES DOI Creative Commons

Huangyi Yin,

Wei Huang,

Bijun Yang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 24, 2025

Insulin resistance (IR) is strongly associated with obstructive sleep apnea (OSA). Whereas, few studies have focused on the potential association between Metabolic Score for Resistance (METS-IR), a novel non-insulin-dependent IR index, and OSA. Subjects from National Health Nutrition Examination Survey (NHANES) spanning 2005-2008 2015-2018 were recruited. The relationship METS-IR other indices OSA was explored through three logistic regression analysis models restricted cubic spline (RCS) curves. Receiver operating characteristic (ROC) curves used to assess diagnostic value of these indicators On basis age, sex, race, body mass index (BMI), hypertension, diabetes, cardiovascular disease (CVD), subgroup analyses conducted test robustness relationship. A total 8,306 participants enrolled, an prevalence 30.69%. After adjusting confounders, METS-IR, triglyceride high-density lipoprotein cholesterol (TG/HDL-C) ratio, glucose Index (TyG), homeostatic model assessment insulin (HOMA-IR) showed positive associations prevalence. In highest tertile TG/HDL-C, TyG HOMA-IR, 2.96-fold, 1.42-fold, 1.29-fold, 1.41-fold higher, respectively, compared lowest (METS-IR: OR = 2.96, 95% CI: 2.50, 3.52, P < 0.0001; TG/HDL-C: 1.42, 1.17, 1.73, 0.001; index: 1.29, 1.07, 1.55, 0.008; HOMA-IR: 1.41, 1.18, 1.69, 0.001). ROC revealed that had accuracy (AUC 0.652). four remain stable across most cases (P interaction > 0.05); however, all them show significant interactions diabetes 0.05). positively shows superior index.

Language: Английский

Citations

2
Markers of insulin resistance associated with non-alcoholic fatty liver disease in non-diabetic population DOI Creative Commons
Pei Zeng, Xiangsheng Cai,

Xiaozhou Yu

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Nov. 22, 2023

Insulin resistance (IR) plays an important role in the development of non-alcoholic fatty liver disease (NAFLD). IR markers are divided into two types: (1) insulin-based marker, homeostatic model assessment (HOMA-IR); and (2) non-insulin-based markers, such as triglyceride-glucose (TyG) index, TyG index with body mass (TyG-BMI), triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c), metabolic score for (METS-IR). The often associated lipids. aim this study was to analyse association between NAFLD non-diabetic population. Baseline data non-NAFLD groups were compared. Logistic regression used evaluate relationship five risk. odds ratios (ORs) 95% confidence intervals (CIs) calculated. Receiver operating characteristic (ROC) curves area under curve (AUC) ability different detect NAFLD. Subgroup analyses performed obese non-obese subgroups. This found a positive correlation risk elevation (HOMA-IR, TyG, TyG-BMI, TG/HDL-c, METS-IR). In subjects, AUC TyG-BMI larger than that other four HOMA-IR subjects. population, NAFLD, including can be respectively, better detection compared markers.

Language: Английский

Citations

24
Association of triglyceride glucose index and triglyceride glucose-body mass index with sudden cardiac arrest in the general population DOI Creative Commons
Shuijing Zhang, Wenbing Liu,

Bin Xu

et al.

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: May 18, 2024

Abstract Background Insulin resistance (IR) significantly contributes to cardiovascular disease (CVD) development. Triglyceride glucose (TyG) index and triglyceride glucose-body mass (TyG-BMI) are recognised as convenient proxies for IR. However, their relationship with sudden cardiac arrest (SCA) remains unclear. Methods This prospective cohort analysis included 355,242 UK Biobank participants available TyG TyG-BMI data no history of CVD. Cox proportional risk models assessed the association between index, SCA risk. Additionally, Accelerated Failure Time (AFT) were employed investigate timing onset. The impact dynamic increases in levels on was examined using restricted cubic spline. Results Over a median follow-up period 165.4 months (interquartile range 156.5–174 months), 1,622 cases recorded. Multivariate regression revealed 9% increase per standard deviation (adjusted hazard ratio (aHR) = 1.09, 95% confidence interval (CI) 1.04–1.15) an 14% (aHR 1.14, CI 1.09–1.2). AFT indicated earlier times occurrence increasing quintiles compared lowest quintile (P trend < 0.05). linearly 0.54) non-linearly 0.007) correlated gradual levels, respectively. Sex-stratified analyses showed stronger associations women. Conclusions Higher associated increased onset, particularly

Language: Английский

Citations

14
Association of the metabolic score for insulin resistance with cardiovascular diseases, cardiovascular and all-cause mortality in Chinese hypertensive population DOI Creative Commons
Liting Zhang, Chao Yu,

Tao Wang

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 14

Published: March 8, 2024

Importance Little is known about the relationship between metabolic score for insulin resistance (METS-IR) and prognosis of hypertensive patients in China. Objective To investigate association novel non–insulin‐based METS-IR index cardiovascular composite endpoints all-cause mortality Chinese participants. Design, setting, participants This cohort study used data from China H-Type Hypertension Project, a long-term prospective consisting 14234 southern China, with baseline March to August 2018. The median follow-up period was 3.94 years, as 2022. analysis July 2023 September 2023. Exposures H-type hypertension project. calculation formula (Ln (2 × FPG) +TG) BMI/Ln (HDL-C). Main outcomes measures Cardiovascular events cardiovascular, were identified by linking database health care system through October, Results A total 14220 included this study. prevalence rates disease (CVD), death, death 2.59% (369/14220), 2.79% (397/14220), 5.66% (805/14220), respectively. After adjusting confounding factors multivariate logistic regression models, significantly positively correlated CVD, mortality, whether categorical or continuous variable. Layered showed that different subgroups endpoint event. Conclusions relevance large, demonstrated index, new IR evaluation independently associated higher risk among population. Importantly, our finding provides an independent indicator evaluating patients.

Language: Английский

Citations

11
Association between metabolic score for insulin resistance and stroke: a nationally representative cross-sectional study from NHANES 2007–2018 DOI Creative Commons
Lingtian Weng, Yuqiu Lu,

Hwayoung Song

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 3, 2025

Stroke is a significant cerebrovascular disease and remains one of the leading causes death disability worldwide. Insulin resistance has been strongly linked to incidence stroke. Employing characteristics metabolic syndrome, Metabolic Score for Resistance (METS-IR) accurately measures insulin resistance. Nonetheless, relationship between METS-IR stroke risk not well-established. We analyzed data from National Health Nutrition Examination Survey (NHANES) covering years 2007-2018. Participants providing complete self-reported information were included in study. utilized weighted multivariate regression explore stroke, performing subgroup analyses as well. A total 14,794 participants included, with an average 43.44 ± 12.68. The overall prevalence was 3.79%, higher rates observed upper tertiles. An increase unit associated 1% (OR = 1.01; 95% CI: 1.01-1.02). Interaction tests indicated no effects gender, smoking status, alcohol consumption, hypertension, diabetes, physical activity, or serum cholesterol levels on this relationship. Notably, younger than 60 years, association significantly stronger 1.02; 1.01-1.03), marked interaction (p 0.0061). Our findings indicate positive correlation increased risk. Early intervention targeting may be viable preventive measure against particularly individuals under age.

Language: Английский

Citations

1
Biological aging mediates the associations of metabolic score for insulin resistance with all‐cause and cardiovascular disease mortality among US adults: A nationwide cohort study DOI
Xiaoxuan Li,

Jia Wang,

Mengqi Zhang

et al.

Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: 26(9), P. 3552 - 3564

Published: June 9, 2024

Abstract Aim To investigate the associations of metabolic score for insulin resistance (METS‐IR) with all‐cause and cardiovascular disease (CVD)‐specific mortality potential mediating role biological ageing. Methods A cohort 19 204 participants from National Health Nutrition Examination Survey (NHANES) 1999–2018 was recruited this study. Cox regression models, restricted cubic splines, Kaplan–Meier survival curves were used to determine relationships METS‐IR CVD‐specific mortality. Mediation analyses performed explore possible intermediary ageing markers, including phenotypic age (PhenoAge) (BioAge). Results During a median follow‐up 9.17 years, we observed 2818 deaths, which 875 CVD‐specific. Multivariable showed that highest level (Q4) associated increased (hazard ratio [HR] 1.38, 95% confidence interval [CI] 1.14–1.67) CVD (HR 1.52, CI 1.10–2.12) compared Q1 level. Restricted splines nonlinear relationship between Only above threshold (41.02 μg/L) positively correlated death. had linear positive In mediation analyses, found PhenoAge mediated 51.32% ( p < 0.001) 41.77% association mortality, respectively. For BioAge, proportions 21.33% 15.88% 0.001), Conclusions This study highlights detrimental effects resistance, as measured by METS‐IR, on Moreover, it underscores in these associations, emphasizing need interventions targeting both processes mitigate risks disorders.

Language: Английский

Citations

6
The effect of non-insulin-based insulin resistance indices on the prediction of recurrence in patients with atrial fibrillation undergoing radiofrequency catheter ablation DOI Creative Commons

Yan Luo,

Duan Luo,

Guoshu Yang

et al.

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: Aug. 7, 2024

Atrial fibrillation (AF) is acknowledged as a disease continuum. Despite catheter ablation being recommended primary therapy for AF, the high recurrence rates have tempered initial enthusiasm. Insulin resistance (IR) has been established an independent predictor onset of AF. However, correlation between non-insulin-based IR indices and late AF in patients undergoing radiofrequency remains unknown.

Language: Английский

Citations

5
Linear positive association of metabolic score for insulin resistance with stroke risk among American adults: a cross-sectional analysis of National Health and Nutrition Examination Survey datasets DOI
Ruwen Zheng, Dong Xu, Tianyi Wang

et al.

Journal of Stroke and Cerebrovascular Diseases, Journal Year: 2024, Volume and Issue: 33(11), P. 107994 - 107994

Published: Sept. 4, 2024

Language: Английский

Citations

5
Association between metabolic score for insulin resistance and cardiovascular disease mortality in patients with rheumatoid arthritis: evidence from the NHANES 1999-2018 DOI Creative Commons
Zhou Yan, Jie Gao

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 13, 2024

To explore the association between Metabolic Score for Insulin Resistance (METS-IR) and risk of cardiovascular disease (CVD) death in patients with rheumatoid arthritis (RA).

Language: Английский

Citations

4
Association between METS-IR and Ischaemic Heart Disease: Results from National Health and Nutrition Examination Survey 2007–2018 Analyses DOI Creative Commons
Xia Guo,

Haoxuan Chu,

Hanchi Xu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Abstract Background: Ischemic heart disease (IHD) represents a significant global health burden. The Metabolic score for insulin resistance (METS-IR) an innovative tool assessing (IR), well-established factor linked to cardiovascular (CVD). However, the association between METS-IR and IHD within United States population has yet be fully clarified. This analysis seeks investigate possible relationship IHD, providing insights into how metabolic factors may influence risk in this demographic. Methods: A cross-sectional was executed on cohort of 14,305 participants selected from 2007–2018 cycles National Health Nutrition Examination Survey (NHANES). calculated, recognized through self-reported diagnoses coronary (CHD), attack, or angina pectoris. To assess link multivariate logistic regression applied. Interaction effects were also assessed, smoothed curve fitting utilized provide more detailed relationship. Results: included participants, among whom 1,050 identified as having IHD. In adjusted model, one-unit unit increase 2% rise odds (OR: 1.02; 95% CI: 1.01, 1.03). categorical analysis, individuals highest quartile showed 76% higher probability opposed those lowest 1.76; 1.34, 2.31). analyses revealed based age gender, suggesting that correlation varied across these subgroups. Conclusion: Our findings indicate increased is heightened highlighting its potential important biomarker evaluating population. Additional longitudinal studies are necessary ascertain causal

Language: Английский

Citations

0