1
|
Qiu J, Li J, Xu S, Zeng H, Zhang Y, Yang S, Fang L, Huang J, Zhou H, Feng J, Zhan Y, Liu J. Can cardiovascular health and its modifiable healthy lifestyle offset the increased risk of all-cause and cardiovascular deaths associated with insulin resistance? Cardiovasc Diabetol 2025; 24:114. [PMID: 40065337 PMCID: PMC11895255 DOI: 10.1186/s12933-025-02674-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Accepted: 03/05/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Insulin resistance(IR) is associated with an increased risk of all-cause and cardiovascular death, and modifiable healthy lifestyles play an active role in the improvement of IR and the reduction of all-cause and cardiovascular death. Whether cardiovascular health (CVH) and modifiable healthy lifestyles within it can attenuate or even offset the heightened perils of both all-cause and cardiovascular deaths associated with insulin resistance remains unclear. METHODS The study encompassed 14,172 healthy participants from the 2005-2018 NHANES programme. Insulin resistance was evaluated using the TyG index, TyG-WC, and TyG-WHtR, while CVH was assessed employing the LE8 score, in addition to the LE4 index redefined according to four health behaviours. Weighted multifactor Cox regression models were used to assess the association of IR and CVH with all-cause and cardiovascular mortality, and dose-response relationships were assessed using restricted cubic spline. Furthermore, subjects were grouped according to IR and CVH scores, and generalised linear models were used to estimate the weighted mortality and risk of death for each group and to calculate the absolute risk difference. Finally, the predicted probability of all-cause and cardiovascular mortality risk as a function of IR was computed, and the complex relationship between the three was visualised using two-dimensional grouped scatter plots and three-dimensional surface plots. RESULTS Among the 14,172 healthy participants included in the study, 1534 deaths occurred over a mean follow-up period of 7.6 years (382 of these deaths were due to cardiovascular causes). The weighted Cox regression analysis indicated that elevated TyG-WC and TyG-WHtR correlated with a greater likelihood of mortality from all causes and cardiovascular events, whereas cardiovascular health was inversely associated with these risks. Additional stratification revealed a notable reduction in the likelihood of mortality from all causes and cardiovascular events as cardiovascular health improved, irrespective of the presence of insulin resistance. Additionally, participants with high insulin resistance but moderate or high cardiovascular health did not have significantly increased risks compared with those with low insulin resistance. Stratified scatter plots and 3D surface plots revealed that cardiovascular health and modifiable healthy lifestyles significantly reduced the risk of insulin resistance-related death, with greater reductions observed at higher insulin resistance levels. CONCLUSIONS In this cohort study, improving cardiovascular health and modifiable health behaviors significantly reduced the risk of insulin resistance-related all-cause and cardiovascular deaths. Maintaining cardiovascular health at moderate or high levels (LE8 ≥ 50) could offset the increased risks caused by insulin resistance.
Collapse
Affiliation(s)
- Jiajun Qiu
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Jin'e Li
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Shan Xu
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Haixia Zeng
- Branch of National Clinical Research Center for Metabolic Diseases, Nanchang, 330006, Jiangxi, China
| | - Yuying Zhang
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Shiqi Yang
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Lixuan Fang
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Jiadian Huang
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Hongtao Zhou
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Jiaying Feng
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Yujie Zhan
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China
| | - Jianping Liu
- Department of Endocrinology and Metabolism, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, 330006, Jiangxi, China.
- Branch of National Clinical Research Center for Metabolic Diseases, Nanchang, 330006, Jiangxi, China.
- Jiangxi Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Nanchang, 330006, Jiangxi, China.
| |
Collapse
|
2
|
Chehal PK, Shafer L, Cunningham SA. Examination of Sleep and Obesity in Children and Adolescents in the United States. Am J Health Promot 2022; 36:46-54. [PMID: 34247520 PMCID: PMC10870837 DOI: 10.1177/08901171211029189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. DESIGN Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children's Health. SETTING US, national. SUBJECTS Children ages 10-17 years (n = 34,640). MEASURES Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. ANALYSIS Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. RESULTS An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. CONCLUSION Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.
Collapse
Affiliation(s)
- Puneet Kaur Chehal
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Livvy Shafer
- National Center for Emerging and Zoonotic Infectious Diseases, Division of Global Migration and Quarantine, Community Interventions for Infection Control Unit, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | |
Collapse
|
3
|
Tagi VM, Samvelyan S, Chiarelli F. Treatment of Metabolic Syndrome in Children. Horm Res Paediatr 2021; 93:215-225. [PMID: 33017828 DOI: 10.1159/000510941] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 08/18/2020] [Indexed: 11/19/2022] Open
Abstract
Although metabolic syndrome (MetS) in children and adolescents is a frequently discussed topic in the literature, uniform guidelines on its definition and treatment are still lacking. Insulin resistance, central obesity, dyslipidaemia, and hypertension are commonly considered the main components of MetS. The first recommended approach to all these pathological conditions in children and adolescents is lifestyle intervention (diet and physical exercise); however, in some selected cases, a pharmacological or surgical treatment might prove useful for the prevention of metabolic and cardiovascular complications. The aim of this review is to present the more recent evidence about the treatment of the major components of MetS in children and adolescents, focussing on the current recommendations concerning lifestyle changes, available drugs, and bariatric surgery.
Collapse
Affiliation(s)
| | - Sona Samvelyan
- Department of Paediatrics, University of Chieti, Chieti, Italy
| | | |
Collapse
|
4
|
Abstract
Despite plenty of currently available information on metabolic syndrome (MetS) in children and adolescents, there are still uncertainties regarding definition, prevention, management and treatment of MetS in children. The first approach to MetS in children consists of lifestyle interventions (nutritional education, physical activity). These recommendations are often difficult to achieve, especially for adolescents, therefore, there is usually a lack of successful outcomes. A pharmacological intervention in obese children may be needed in some cases, with the aim to improve the effects of these primary prevention interventions. Metformin seems to be safe and presents evident positive effects on insulin sensitivity, but long-term and consistent data are still missing to establish its role in the pediatric population and the possible effectiveness of other emergent treatments such as glucagon-like peptide-1 analogues, dipeptidylpeptidase-4 inhibitors, dual inhibitors of SGLT1 and SGLT2 and weight loss drugs. Bariatric surgery might be helpful in selected cases. The aim of this review is to present the most recent available treatments for the main components of metabolic syndrome, with a focus on insulin resistance. A short mention of management of congenital forms of insulin resistance will be included too.
Collapse
|
5
|
Kaar JL, Schmiege SJ, Drews K, Higgins J, Walders-Abramson N, Isganaitis E, Willi SM, Marcus MD, Zeitler PS, Kelsey MM. Evaluation of the longitudinal change in health behavior profiles across treatment groups in the TODAY clinical trial. Pediatr Diabetes 2020; 21:224-232. [PMID: 31886931 PMCID: PMC7597379 DOI: 10.1111/pedi.12976] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 08/28/2019] [Accepted: 09/18/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Individual health behaviors (ie, eating habits and sedentary lifestyle) are associated with type 2 diabetes (T2D). Health behavior profiles specific to adolescents with T2D have not been described. OBJECTIVE To identify health behavior profiles in adolescents with T2D and examine how these profiles change over time. METHODS Diet (via food frequency questionnaire) and activity behaviors (via 3-day physical activity recall) examined at baseline, 6 months, and 24 months from participants in the the Treatment Options for T2D in Adolescents and Youth (TODAY) study were used for this analysis. Latent profile analysis identified profiles of health behaviors within three time points, and latent transition probabilities were estimated to examine the change from baseline to 6 months (n = 450) and baseline to 24 months (n = 415). Multinomial logistic regressions were used to examine if the assigned TODAY treatment group (Metformin [Met], Met + Rosiglitazone [Rosi], or Met + Lifestyle) predicted change in health behavior profiles. RESULTS Three profiles emerged: "most sedentary," "healthy eaters," and "active and eat most." At 6 months, 50% of males and 29% of females in the Met + Lifestyle treatment group improved in their health behavior profile. Among males only, the Met + Lifestyle treatment group were more likely to improve their profiles from baseline to 6 months (P = .01). CONCLUSIONS Three health behavior profiles emerged and shifted over time. A high quality, lifestyle intervention had little effect on improving health behavior profiles. Optimizing outcomes in youth with T2D might require more robust and multifaceted interventions beyond family-level lifestyle, including more extensive psychosocial intervention, novel medication regimen, or bariatric surgery.
Collapse
Affiliation(s)
- Jill L Kaar
- Department of Pediatrics, Division of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado
| | - Sarah J Schmiege
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Kimberly Drews
- The Biostatistics Center, George Washington University, Washington DC
| | - Janine Higgins
- Department of Pediatrics, Division of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado
| | - Natalie Walders-Abramson
- Department of Pediatrics, Division of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado
| | - Elvira Isganaitis
- Harvard Medical School, Boston, Massachusetts
- Joslin Diabetes Center, Boston, Massachusetts
| | - Steven M Willi
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Marsha D Marcus
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Philip S Zeitler
- Department of Pediatrics, Division of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado
| | - Megan M Kelsey
- Department of Pediatrics, Division of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado
| |
Collapse
|
6
|
Sedentary behavior relates to mental distress of pregnant women differently across trimesters: An observational study in China. J Affect Disord 2020; 260:187-193. [PMID: 31499374 DOI: 10.1016/j.jad.2019.08.086] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 06/27/2019] [Accepted: 08/28/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND The independent effect of sedentary behavior (SB) on maternal mental health is still unclear. The purpose of this study was to examine the different relationships of SB with maternal distress in pregnant women across the three trimesters, controlling for the confounding factors including physical activity (PA), diet and gestational weight gain. METHODS Survey data were collected from 1272 participants in different trimesters of pregnancy. The data were divided into three data sets based on trimester, and regression analysis was conducted on each data set. Both the linear and quadratic relationships between SB and mental distress were estimated. RESULTS There was no significant association between SB and any mental distress symptoms in the first trimester. In the second trimester, SB was positively associated with higher mental overall distress symptoms (β=0.34, P < 0.001), including depress and anxiety. There is an inverted-U shaped curvilinear relationship between SB and mental distress in the third trimester, as SB-squared is significantly associated with mental overall distress (GSI: β=-0.65, P = 0.002, depression: β=-0.53, P = 0.014, anxiety: β=-0.46, P = 0.031). LIMITATIONS The data were collected from only one city in China, which may limit the generalizability of the findings for all Chinese women. This was an observational study and causality cannot be established. CONCLUSION This study found that the relationship between SB and maternal mental distress depends on trimesters. The stage of pregnancy should be considered when designing interventions for pregnant women to change SB to reduce mental distress.
Collapse
|
7
|
Duraccio KM, Krietsch KN, Chardon ML, Van Dyk TR, Beebe DW. Poor sleep and adolescent obesity risk: a narrative review of potential mechanisms. ADOLESCENT HEALTH MEDICINE AND THERAPEUTICS 2019; 10:117-130. [PMID: 31572040 PMCID: PMC6749827 DOI: 10.2147/ahmt.s219594] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 08/17/2019] [Indexed: 12/12/2022]
Abstract
Poor sleep is related to increased obesity risk in adolescents, though the mechanisms of this relationship are unclear. This paper presents a conceptual framework of the various pathways that have been proposed to drive this relationship. In this framework, increased food reward, emotional reactivity, decreased inhibitory control, metabolic disturbances, poorer dietary quality, and disrupted meal timings may increase the likelihood of increasing overall energy intake. This paper further notes how poor sleep increases sedentary behavior and screen time, which likely limits overall energy expenditure. The model posits that these mechanisms result in an imbalance of energy intake and expenditure following poor sleep, intensifying the overall risk for obesity. Increases in food reward processes, decreases in insulin sensitivity, disrupted meal timing, and increases in sedentary behavior seem to be the most compelling mechanisms linking poor sleep with increased obesity risk in adolescents. Future directions and clinical implications of this framework are discussed.
Collapse
Affiliation(s)
- Kara M Duraccio
- Cincinnati Children's Hospital Center, Behavioral Medicine and Clinical Psychology Department, Cincinnati, OH, USA
| | - Kendra N Krietsch
- Cincinnati Children's Hospital Center, Behavioral Medicine and Clinical Psychology Department, Cincinnati, OH, USA
| | - Marie L Chardon
- Cincinnati Children's Hospital Center, Behavioral Medicine and Clinical Psychology Department, Cincinnati, OH, USA
| | - Tori R Van Dyk
- Loma Linda University, Department of Psychology, Loma Linda, CA, USA
| | - Dean W Beebe
- Cincinnati Children's Hospital Center, Behavioral Medicine and Clinical Psychology Department, Cincinnati, OH, USA.,University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, OH, USA
| |
Collapse
|