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Assessing and Managing the Metabolic Syndrome in Children and Adolescents. Nutrients 2019; 11:nu11081788. [PMID: 31382417 PMCID: PMC6723651 DOI: 10.3390/nu11081788] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 07/10/2019] [Accepted: 07/30/2019] [Indexed: 02/06/2023] Open
Abstract
The metabolic syndrome (MetS) is a group of cardiovascular risk factors that are associated with insulin resistance and are driven by underlying factors, including visceral obesity, systemic inflammation, and cellular dysfunction. These risks increasingly begin in childhood and adolescence and are associated with a high likelihood of future chronic disease in adulthood. Efforts should be made at both recognition of this metabolic risk, screening for potential associated Type 2 diabetes, and targeting affected individuals for appropriate treatment with an emphasis on lifestyle modification. Effective interventions have been linked to reductions in MetS-and in adults, reductions in the severity of MetS have been linked to reduced diabetes and cardiovascular disease.
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Šebeková K, Gurecká R, Csongová M, Koborová I, Šebek J. Estimation of the proportion of metabolic syndrome-free subjects on high cardiometabolic risk using two continuous cardiometabolic risk scores: a cross-sectional study in 16- to 20-year-old individuals. Eur J Pediatr 2019; 178:1243-1253. [PMID: 31203446 DOI: 10.1007/s00431-019-03402-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 12/03/2018] [Accepted: 05/24/2019] [Indexed: 02/06/2023]
Abstract
In contrast to the dichotomous classification of metabolic syndrome, continuous metabolic syndrome scores enable to assess cardiometabolic burden in metabolic syndrome-free individuals. Using receiver operating characteristics analysis, discrimination power of continuous metabolic syndrome score calculated from population-based Z-scores or individual measures corrected to the accepted international standards for presence/absence of metabolic syndrome was assessed. Calculated cutoff values were used to estimate the proportions of metabolic syndrome-free subjects presenting high cardiometabolic risk. Clinical data were collected from 2331 (52% females) 16- to 20-year-old subjects. Receiver operating characteristics analyses showed an acceptable performance of both scores to classify metabolic syndrome presence: area under the curve (97-98%), sensitivity (95-100%), and specificity (86-96%). Compared with the prevalence of metabolic syndrome, proportions of metabolic syndrome-free subjects on high cardiometabolic risk, e.g., presenting continuous scores ≥ cutoff points, were about 3-fold higher in males, and 4-fold higher in females. Both scores correlated significantly with markers of cardiometabolic risk.Conclusion: Continuous cardiometabolic syndrome scores are practical tools to evaluate cardiometabolic risk in subjects not presenting metabolic syndrome. Accuracy, simplicity, and ability to classify metabolic syndrome-free subjects on high cardiometabolic risk make continuous metabolic syndrome score derived from international standards convenient for use in research and clinical practice. What is Known: • Dichotomous classification of metabolic syndrome is simple but not suitable for assessment of cardiometabolic burden in metabolic syndrome-free subjects. This prompted implementation of continuous scores, which are generally sample-specific. Score based on internationally accepted standards allows for comparison between populations and studies. • The performance of different continuous metabolic syndrome scores to assess the prevalence of metabolic syndrome-free subjects presenting high cardiometabolic burden has not been compared yet. What is New: • We compared the discrimination power of sample-specific Z-score-derived continuous metabolic syndrome score and that calculated based on internationally accepted standards for presence or absence of metabolic syndrome in young subjects. • The prevalence of metabolic syndrome-free subjects presenting high cardiometabolic risk was estimated using the cutoff points of continuous metabolic syndrome scores derived from the analyses of receiver operating characteristic curves.
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Affiliation(s)
- Katarína Šebeková
- Institute of Molecular BioMedicine, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08, Bratislava, Slovakia.
| | - Radana Gurecká
- Institute of Molecular BioMedicine, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08, Bratislava, Slovakia
- Institute of Medical Physics, Biophysics, Informatics and Telemedicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Melinda Csongová
- Institute of Molecular BioMedicine, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08, Bratislava, Slovakia
| | - Ivana Koborová
- Institute of Molecular BioMedicine, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08, Bratislava, Slovakia
| | - Jozef Šebek
- Institute of Materials & Machine Mechanics, Slovak Academy of Sciences, Bratislava, Slovakia
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Low S, Khoo KCJ, Wang J, Irwan B, Sum CF, Subramaniam T, Lim SC, Wong TKM. Development of a metabolic syndrome severity score and its association with incident diabetes in an Asian population-results from a longitudinal cohort in Singapore. Endocrine 2019; 65:73-80. [PMID: 31161560 DOI: 10.1007/s12020-019-01970-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 05/24/2019] [Indexed: 11/25/2022]
Abstract
PURPOSE Metabolic syndrome (MetS) is a constellation of clinical factors that indicates elevated risk of diabetes. It is diagnosed based on three or more abnormalities in its components. This does not take into account that MetS can likely present as a continuum of risk. We aim to develop a MetS severity score and assess its association with incident diabetes. METHODS In total, 4149 subjects without baseline diabetes participated in a community screening programme in 2013-2017. MetS was defined according to International Diabetes Federation criteria. A MetS severity z-score was derived from standardised loading coefficients of a confirmatory factor analysis for waist circumference, triglycerides, HDL-cholesterol, blood pressure and fasting plasma glucose (FPG). Multivariable cox proportional hazards regression model was used to assess the risk of diabetes by the score with adjustment for demographics and MetS components. RESULTS Diabetes occurred in 130 subjects. Quintile 5 of the baseline MetS severity z-score was significantly associated with development of diabetes even in fully adjusted model with HR 2.63 (95% CI: 1.04-6.64; p = 0.040). The relationship between MetS and incident diabetes became attenuated and non-significant in fully adjusted model with HR 0.67 (95% CI: 0.34-1.29; p = 0.228). Mediation analysis showed that MetS severity z-score accounted 61.0% of the association between increasing body mass index and development of diabetes (p < 0.001). CONCLUSIONS The MetS severity z-score is an inexpensive and clinically-available continuous measure of MetS to identify individuals at high risk of diabetes.
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Affiliation(s)
- Serena Low
- Diabetes Centre, Admiralty Medical Centre, Singapore, Singapore
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
| | | | - Jiexun Wang
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Bastari Irwan
- Transformation Office, Hospital Administration, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Chee Fang Sum
- Diabetes Centre, Admiralty Medical Centre, Singapore, Singapore
| | | | - Su Chi Lim
- Diabetes Centre, Admiralty Medical Centre, Singapore, Singapore.
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
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Michalsen VL, Kvaløy K, Svartberg J, Siri SRA, Melhus M, Broderstad AR. Change in prevalence and severity of metabolic syndrome in the Sami and non-Sami population in rural Northern Norway using a repeated cross-sectional population-based study design: the SAMINOR Study. BMJ Open 2019; 9:e027791. [PMID: 31201190 PMCID: PMC6576075 DOI: 10.1136/bmjopen-2018-027791] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE To examine the change in both the prevalence and severity of metabolic syndrome (MetS) in the Sami and non-Sami in Northern Norway due to a lack of knowledge regarding the development of MetS in this population. DESIGN Repeated cross-sectional study. SETTING The study is based on data from the SAMINOR 1 Survey (2003-2004, n=6550) and the SAMINOR 2 Clinical Survey (2012-2014, n=6004), conducted in 10 municipalities in Northern Norway. PARTICIPANTS Men and women aged 40-79 years were invited. We excluded participants not handing in the questionnaire and with missing information concerning ethnicity questions or MetS risk factors resulting in a final sample of 6308 (36.0% Sami) subjects in SAMINOR 1 and 5866 (40.9% Sami) subjects in SAMINOR 2. OUTCOME MEASURES MetS prevalence was determined using the harmonised Adult Treatment Panel III (ATP-III) criteria, and severity was assessed with the MetS severity Z-score. Generalised estimating equations with an interaction term (survey × ethnicity) were used to compare prevalence and severity between the two surveys while accounting for partly repeated measurements. RESULTS The overall, age-standardised ATP-III-MetS prevalence was 31.2% (95% CI: 29.8 to 32.6) in SAMINOR 1 and 35.6% (95% CI: 34.0 to 37.3) in SAMINOR 2. Both the ATP-III-MetS prevalence and the mean MetS severity Z-score increased between the surveys in all subgroups, except the ATP-III-MetS prevalence in non-Sami women, which remained stable. Over time, Sami men showed a slightly larger increase in MetS severity than non-Sami men (p<0.001): the score increased by 0.20 (95% CI: 0.14 to 0.25) and 0.06 (95% CI: 0.01 to 0.10) in Sami and non-Sami men, respectively. Abdominal obesity increased markedly between the surveys in all subgroups. CONCLUSION The prevalence and severity of MetS increased over time in rural Northern Norway. Abdominal obesity appeared to drive the increase in ATP-III-MetS prevalence. Sami men had a slightly larger increase in severity than non-Sami.
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Affiliation(s)
- Vilde L Michalsen
- Department of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway
| | - Kirsti Kvaløy
- Department of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Public Health and Nursing, HUNT Research Centre, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Johan Svartberg
- Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway
- Tromsø Endocrine Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Susanna R A Siri
- Department of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway
| | - Marita Melhus
- Department of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ann R Broderstad
- Department of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway
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Huh JH, Lee JH, Moon JS, Sung KC, Kim JY, Kang DR. Metabolic Syndrome Severity Score in Korean Adults: Analysis of the 2010-2015 Korea National Health and Nutrition Examination Survey. J Korean Med Sci 2019; 34:e48. [PMID: 30787681 PMCID: PMC6374550 DOI: 10.3346/jkms.2019.34.e48] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 12/28/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Continuous metabolic syndrome (MS) severity scores that can track metabolic risk in individuals over time have been developed for Western populations. The present study aimed to develop gender- and age-specific equations for MS severity scores in Korean adults. METHODS Using data from the Korea National Health and Nutrition Examination Surveys (KNHANES) IV (2010-2012) and VI (2013-2015), we performed a confirmatory factor analysis of single MS factor that allowed for differential loadings across groups to generate gender- and age-specific, continuous MS severity scores. Then, we validated this equation in a different dataset of Korean adults. RESULTS In confirmatory analysis, waist circumference had the highest factor loading, indicating that waist circumference had the strongest correlation with MS among Korean adults. Lower factor loadings (< 0.4) among Korean adults aged 40-59 years were noted for systolic blood pressure and fasting glucose. MS severity score values were significantly correlated with metabolic parameters, including high-sensitivity C-reactive-protein, glycated hemoglobin, and homeostasis model assessment of insulin resistance. Furthermore, MS severity scores well predicted traditional MS according to receiver operating characteristic analysis in a validation dataset (KNHANES VII). In a longitudinal cohort dataset, participants diagnosed with Adult Treatment Program III (ATP-III) MS after an initial assessment had progressively higher baseline MS severity scores in relationship to their time until ATP-III MS diagnosis. CONCLUSION The new MS severity score equations for Korean adults proposed in this study provide a clinically-accessible continuous measure of MS for potential use in identifying adults at higher risk for MS-related diseases and following changes within individuals over time.
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Affiliation(s)
- Ji Hye Huh
- Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Jun Hyeok Lee
- Department of Biostatistics, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Jin Sil Moon
- Department of Biostatistics, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Ki Chul Sung
- Division of Cardiology, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jang Young Kim
- Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju, Korea
- Institute of Genomic Cohort, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Dae Ryong Kang
- Institute of Genomic Cohort, Yonsei University, Wonju College of Medicine, Wonju, Korea
- Center of Biomedical Data Science, Yonsei University, Wonju College of Medicine, Wonju, Korea
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DeBoer MD, Filipp SL, Gurka MJ. Use of a Metabolic Syndrome Severity Z Score to Track Risk During Treatment of Prediabetes: An Analysis of the Diabetes Prevention Program. Diabetes Care 2018; 41:2421-2430. [PMID: 30275282 PMCID: PMC6196828 DOI: 10.2337/dc18-1079] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 08/10/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We assessed whether changes in metabolic syndrome (MetS) severity during the treatment of prediabetes are associated with reduced risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS We analyzed data from the Diabetes Prevention Program (DPP) for 2,476 adults in 1996-1999 with prediabetes randomized to receive treatment with lifestyle modification, metformin, or placebo for 2-3 years and followed through 2014 for T2DM and CVD outcomes. We calculated effect sizes from baseline in a MetS severity z score (MetS-Z) and the individual MetS components, and assessed relationships between 1-year effect size and incident T2DM and CVD using hazard ratios (HRs) and mediation analysis. RESULTS Baseline MetS-Z and its components were associated with risk of incident T2DM and CVD. During year 1 of intervention, MetS-Z and its components decreased most with lifestyle modification, followed by treatment with metformin and placebo. Risk of T2DM within 1-5 years was most strongly associated with 1-year changes in MetS-Z and waist circumference (both HRs for a 1 SD increase = 1.80), whereas the risk of CVD was associated with a 1-year change in MetS-Z, glucose, and systolic blood pressure. In mediation analyses, the effect of lifestyle modification on T2DM risk was mediated by 1-year changes in MetS-Z, waist circumference, glucose, and triglycerides, whereas the effect of metformin was mediated by MetS-Z and glucose. CONCLUSIONS Changes in these risk indicators of MetS severity during intervention in the DPP reflect altered disease risk and may help in tracking earlier responses to treatment and in motivating patients.
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Affiliation(s)
- Mark D DeBoer
- Department of Pediatrics, University of Virginia, Charlottesville, VA
| | - Stephanie L Filipp
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
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Aydoğan A, Bingöl SA. Examination of the immunohistochemical localization and gene expression by RT-PCR of the oxytocin receptor in diabetic and non-diabetic mouse testis. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES 2018; 21:695-700. [PMID: 30140408 PMCID: PMC6098958 DOI: 10.22038/ijbms.2018.28069.6820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective(s): The aim of this study was to determine Oxytocin receptor (OTR) gene expression and localization in diabetic and non-diabetic mouse testes by RT-PCR and immunohistochemistry, respectively. Materials and Methods: In this study, 18 male BALB/c mice (8–12 weeks old) were used and divided into three groups: diabetic, sham, and control. Streptozotocin (STZ) was applied to the diabetic group and sodium citrate was administered to the sham group in the same way, however, the control group was left untouched. The testicular tissues were removed on the thirtieth day of testing; the right testis tissues were passed through a routine histologic process and sections were stained with H&E and PAS staining techniques. The avidin-biotin-peroxidase method was applied to determine OTR immunoreactivity, while the left testis tissues were used for RT-PCR. Results: It was found that the body weight had decreased in the diabetic group and the diameter of the seminiferous tubules in the said group was shorter than those of the other groups. There were no obvious differences with regard to the histologic appearance between the groups. The immunohistochemical examination showed that the OTR immunoreactivity was strong in the control and sham groups but weak in the diabetic group, and the immunoreactivity was only seen in the Leydig cells. In addition, the OTR gene expression was lower in the diabetic group than in the other groups. Conclusion: We concluded that diabetes reduces the OTR expression in the testis. It is suggested that OTR protection should be researched in diabetes for healthy reproduction and sexuality.
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Affiliation(s)
- Ayşe Aydoğan
- Veterinary Faculty, Histology and Embryology Department, Kafkas University, 36100, Kars, Turkey
| | - Seyit Ali Bingöl
- Medicine Faculty, Histology and Embryology Department, Kafkas University, 36100, Kars, Turkey
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Gurka MJ, Filipp SL, Pearson TA, DeBoer MD. Assessing Baseline and Temporal Changes in Cardiometabolic Risk Using Metabolic Syndrome Severity and Common Risk Scores. J Am Heart Assoc 2018; 7:e009754. [PMID: 30369320 PMCID: PMC6201393 DOI: 10.1161/jaha.118.009754] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 07/12/2018] [Indexed: 01/06/2023]
Abstract
Background Type 2 diabetes mellitus (T2 DM ) is considered a cardiovascular disease ( CVD ) risk equivalent, thereby linking assessment of cardiometabolic risk with that of CVD risk over time. Our goal was to determine how commonly used CVD risk scores and metabolic syndrome (MetS) severity performed in predicting T2 DM with and without ultimate CVD . Methods and Results We assessed data from 8273 participants of the ARIC (Atherosclerosis Risk in Communities) Study, using the pooled cohort atherosclerotic CVD risk score, the Framingham Risk Score, and a MetS severity Z score to assess their association with future risk for CVD alone, T2 DM alone, or both over 20 years of follow-up. Baseline levels of all scores were significantly associated with isolated incident T2 DM (odds ratios [ OR s] for each 1- SD increase: atherosclerotic CVD =1.7, Framingham risk score=1.7, MetS Z score=5.1). All 3 baseline scores were also significantly associated with isolated incident CVD (atherosclerotic CVD OR =2.4, Framingham risk score OR =2.3, MetS Z-score OR =1.8), with the 2 CVD scores remaining significant independent of MetS severity. MetS severity was strongly associated with future T2 DM leading to CVD (MetS Z-score OR =7.0, atherosclerotic CVD OR =3.9, Framingham risk score OR =3.5). Furthermore, changes in MetS severity were independently associated with future T2 DM - CVD progression. Conclusions CVD risk scores are associated with risk for future isolated T2 DM in addition to isolated CVD . However, MetS severity (both baseline and changes over time) was more strongly associated with T2 DM , including T2 DM ultimately leading to CVD . Following MetS severity within patients over time may identify those at greatest risk of combined cardiometabolic disease.
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Affiliation(s)
- Matthew J. Gurka
- Department of Health Outcomes and Biomedical InformaticsCollege of MedicineUniversity of FloridaGainesvilleFL
| | - Stephanie L. Filipp
- Department of Health Outcomes and Biomedical InformaticsCollege of MedicineUniversity of FloridaGainesvilleFL
| | - Thomas A. Pearson
- Department of EpidemiologyCollege of Public Health and Health ProfessionsUniversity of FloridaGainesvilleFL
| | - Mark D. DeBoer
- Division of Pediatric EndocrinologyDepartment of PediatricsUniversity of VirginiaCharlottesvilleVA
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Gurka MJ, Filipp SL, Musani SK, Sims M, DeBoer MD. Use of BMI as the marker of adiposity in a metabolic syndrome severity score: Derivation and validation in predicting long-term disease outcomes. Metabolism 2018; 83:68-74. [PMID: 29410278 PMCID: PMC5960618 DOI: 10.1016/j.metabol.2018.01.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 12/14/2017] [Accepted: 01/17/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Estimates of adiposity in evaluating the metabolic syndrome (MetS) have traditionally utilized measures of waist circumference (WC), whereas body mass index (BMI) is more commonly used clinically. Our objective was to determine if a MetS severity Z-score employing BMI as its measure of adiposity (MetS-Z-BMI) would perform similarly to a WC-based score (MetS-Z-WC) in predicting future disease. METHODS To formulate the MetS-Z-BMI, we performed confirmatory factor analysis on a sex- and race/ethnicity-specific basis on MetS-related data for 6870 adult participants of the National Health and Nutrition Survey 1999-2010. We then validated this score and compared it to MetS-Z-WC in assessing correlations with future coronary heart disease (CHD) and Type 2 diabetes mellitus (T2DM) using Cox proportional hazard analysis of 13,094 participants of the Atherosclerosis Risk in Communities study and Jackson Heart Study. RESULTS Loading factors, which represent the relative contribution of each component to the latent MetS factor, were lower for BMI than for WC in formulating the two respective scores (MetS-Z-BMI and MetS-Z-WC). Nevertheless, MetS-Z-BMI and MetS-Z-WC exhibited similar hazard ratios (HR) toward future disease. For each one standard-deviation-unit increase in MetS-Z-BMI, HR for CHD was 1.76 (95% confidence interval [CI]: 1.65, 1.88) and HR for T2DM was 3.39 (CI 3.16, 3.63) (both p < 0.0001). There were no meaningful differences between the MetS-Z-WC and MetS-Z-BMI scores in their associations with future CHD and T2DM. CONCLUSIONS A MetS severity Z-score utilizing BMI as its measure of adiposity operated similarly to a WC-based score in predicting future CHD and T2DM, suggesting overall similarity in MetS-based risk as estimated by both measures of adiposity. This indicates potential clinical usefulness of MetS-Z-BMI in assessing and following MetS-related risk over time.
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Affiliation(s)
- Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida 32608, United States.
| | - Stephanie L Filipp
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida 32608, United States
| | - Solomon K Musani
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, United States
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, United States
| | - Mark D DeBoer
- Department of Pediatrics, Division of Pediatric Endocrinology, PO Box 800386, University of Virginia, Charlottesville, Virginia 22908, United States
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Chen SP, Li CR, Chang HC, Li YL, Pai HC. Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study. Clin Nurs Res 2018; 29:355-362. [PMID: 29695172 DOI: 10.1177/1054773818773385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The purpose of this study was to explore the relationship between the metabolic syndrome severity Z-score and kidney function by gender. We also examined the estimated glomerular filtration rate in relation to other known risk factors. The study used was a population-based prospective longitudinal research design. A total of 4,838 participants (2,683 females and 2,155 males) included individuals aged >30 years who were undergoing a health examination from 2006 to 2014 in Pingzhen City, Taiwan. In the initial generalized estimated equation model analysis, which included the covariates of age of first visit, period between the first and current visit, and metabolic syndrome severity Z-score, the results indicated that the interaction between age and metabolic syndrome severity Z-score is significantly related to the estimated glomerular filtration rate for males (p = .040). For females, the interaction between age and metabolic syndrome severity Z-score was not significant, but a higher metabolic syndrome severity Z-score was significantly associated with lower estimated glomerular filtration rate (p = .001). After controlling for the confounders, unhealthy behaviors, and comorbidities, the metabolic syndrome severity Z-score was still a negative predictor of estimated glomerular filtration rate in both the male (p = .005) and female (p = .023) models.
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Affiliation(s)
| | | | - Huan-Cheng Chang
- Taiwan Landseed Hospital, Taoyuan City, Taiwan
- Chang Gung University, Taoyuan City, Taiwan
| | - Yu-Ling Li
- Taiwan Landseed Hospital, Taoyuan City, Taiwan
| | - Hsiang-Chu Pai
- Chung Shan Medical University, Taichung City, Taiwan
- Chung Shan Medical University Hospital, Taichung City, Taiwan
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DeBoer MD, Filipp SL, Musani SK, Sims M, Okusa MD, Gurka MJ. Metabolic Syndrome Severity and Risk of CKD and Worsened GFR: The Jackson Heart Study. Kidney Blood Press Res 2018; 43:555-567. [PMID: 29642060 PMCID: PMC6037309 DOI: 10.1159/000488829] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 03/28/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND/AIMS The metabolic syndrome (MetS), as assessed using dichotomous criteria, is associated with increased risk of future chronic kidney disease (CKD), though this relationship is unclear among African Americans, who have lower risk for MetS but higher risk for CKD. METHODS We performed logistic regression using a sex- and race-specific MetS-severity z-score to assess risk of incident CKD among 2,627 African-American participants of the Jackson Heart Study, assessed at baseline and 8 years later. Based on quartile of baseline MetS severity, we further assessed prevalence of being in the lowest quartile of baseline GFR, the lowest quartile of relative GFR at follow-up, microalbuminuria and incident CKD. RESULTS Higher MetS-severity was associated with higher prevalence of GFR in the lowest quartile at baseline among males and females. Among African-American females but not males, higher baseline MetS-severity was associated with a higher prevalence of baseline elevations in microabuminuria (p<0.01), steep decline in GFR (p<0.001) and a higher incidence of CKD (p<0.0001). Women in increasing quartiles of baseline MetS-severity exhibited a linear trend toward higher odds of future CKD (p<0.05), with those in the 4th quartile of MetS-severity (compared to the 1st) having an odds ratio of 2.47 (95% confidence interval 1.13, 5.37); no such relationship was seen among men (p value for trend 0.49). CONCLUSION MetS-severity exhibited sex-based interactions regarding risk for future GFR deterioration and CKD, with increasing risk in women but not men. These data may have implications for triggering CKD screening among African-American women with higher degrees of MetS-severity.
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Affiliation(s)
- Mark D. DeBoer
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Virginia, Charlottesville, Virginia, United States, 22908
| | - Stephanie L Filipp
- Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, Florida, United States, 32608
| | - Solomon K. Musani
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, United States 39213
| | - Mario Sims
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, United States 39213
| | - Mark D. Okusa
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, Virginia, United States, 22908
| | - Matthew J. Gurka
- Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, Florida, United States, 32608
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Geographical variation in the prevalence of obesity, metabolic syndrome, and diabetes among US adults. Nutr Diabetes 2018; 8:14. [PMID: 29549249 PMCID: PMC5856741 DOI: 10.1038/s41387-018-0024-2] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 12/06/2017] [Accepted: 12/28/2017] [Indexed: 01/28/2023] Open
Abstract
Cardiovascular disease (CVD) and type 2 diabetes remain significant public health concerns. Targeting of prevention efforts by geographical location has been suggested by the Institute of Medicine to coincide with the presence of area-based risk. The metabolic syndrome (MetS) is a stronger risk factor than is obesity for the prediction of future CVD and diabetes, yet its prevalence has not previously been described geographically. Our objective is to determine geographical variation in the prevalence of obesity, MetS, and diabetes among US adults. We assessed the prevalence of obesity, MetS, and diabetes by US census division, and the prevalence of obesity, MetS, and diabetes for each sex and racial/ethnic group by US region among 9826 US non-Hispanic white, non-Hispanic black, and Hispanic adults aged 20–65 years participating in the National Health and Nutrition Examination Survey 1999–2014. We also compared a sex- and race/ethnicity-specific MetS severity score by geographical area. The prevalence of obesity, MetS, and diabetes varied by US census division and region, with overall similarity by geographical area in the prevalence of each of these conditions. The prevalence of MetS was particularly high (≥35%) in the West North Central, West South Central, and East South Central and low (30%) in the Pacific, New England, and Mid-Atlantic divisions. Some of the geographical variation appeared due to differences among non-Hispanic white females, who had a high prevalence of MetS (>32%) in the Midwest and South and a low prevalence of MetS (24%) in the West and Northeast. Geographical differences in MetS imply variation in the risk for future CVD and diabetes, with more elevated risk in the center of the United States. As MetS is a stronger risk factor for prediction of CVD and T2DM than is obesity, these differences are potentially important for prompting public health efforts toward surveillance and prevention in high-risk areas.
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Gurka MJ, Guo Y, Filipp SL, DeBoer MD. Metabolic syndrome severity is significantly associated with future coronary heart disease in Type 2 diabetes. Cardiovasc Diabetol 2018; 17:17. [PMID: 29351794 PMCID: PMC5775549 DOI: 10.1186/s12933-017-0647-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 12/23/2017] [Indexed: 02/06/2023] Open
Abstract
Background The severity of the metabolic syndrome (MetS) is significantly associated with future coronary heart disease (CHD) among individuals without baseline Type 2 diabetes. However, the validity of assessing MetS severity among individuals with diabetes is unknown. Objective To assess for differences in MetS severity by timing of Type 2 diabetes diagnosis and to assess for associations between MetS severity and future CHD among individuals with diabetes. Methods We analyzed data from participants of the Atherosclerosis Risk in Communities study, including 1419 with- and 7241 without diabetes, followed during 4 visits and adjudicated CHD diagnoses over a 20-year period. We used Cox-regression techniques to assess hazard ratios (HR) of CHD based on a sex- and race/ethnicity-specific MetS-severity Z-score (standard MetS score) and a similar MetS-severity score formulated without incorporating glucose as a component of MetS (no-glucose MetS score). Results For both the standard- and no-glucose MetS-severity scores, scores were highest in the baseline-diabetes group, lowest in the never-diabetes group and intermediate in the incident-diabetes groups. Among participants with diabetes, increasing MetS-severity score at baseline was associated with incident CHD, using both the standard MetS score (HR 1.29, 95% confidence interval [CI] 1.21, 1.39) and the no-glucose score (HR 1.42, CI 1.24, 1.62) (both p < 0.001). For the baseline-diabetes group, this relationship remained significant when Visit 2 Hemoglobin-A1c was included in the model, both for the standard MetS score (HR 1.21, CI 1.09, 1.34; p < 0.001) and the no-glucose score (HR 1.25, CI 1.04, 1.51; p = 0.02). Conclusions MetS severity appears to provide an estimate of metabolic disarray in the setting of diabetes and is predictive of future CHD events beyond HbA1c. Identifying MetS severity among individuals with diabetes may help in identifying those at higher risk, who could then receive further preventative treatment. Electronic supplementary material The online version of this article (10.1186/s12933-017-0647-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthew J Gurka
- Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL, 32608, USA
| | - Yi Guo
- Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL, 32608, USA
| | - Stephanie L Filipp
- Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL, 32608, USA
| | - Mark D DeBoer
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Virginia, 409 Lane Rd, Room 2017, P.O. Box 800386, Charlottesville, VA, 22908, USA.
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Guo Y, Musani SK, Sims M, Pearson TA, DeBoer MD, Gurka MJ. Assessing the added predictive ability of a metabolic syndrome severity score in predicting incident cardiovascular disease and type 2 diabetes: the Atherosclerosis Risk in Communities Study and Jackson Heart Study. Diabetol Metab Syndr 2018; 10:42. [PMID: 29796112 PMCID: PMC5956946 DOI: 10.1186/s13098-018-0344-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 05/08/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The severity of the metabolic syndrome (MetS) predicts future coronary heart disease (CHD) and diabetes independent of the individual MetS components. Our aim was to evaluate whether MetS severity conferred additional discrimination to existing scoring systems for cardiovascular disease (CVD) and diabetes risk. METHODS We assessed Cox proportional hazard models of CHD- and diabetes risk among 13,141 participants of the Atherosclerosis Risk in Communities Study and the Jackson Heart Study, using the Framingham Risk Calculator, the American Heart Association's Atherosclerotic CVD calculator, the American Diabetes Association diabetes risk score and an additional diabetes risk score derived from ARIC data. We then added a MetS-severity Z-score to these models and assessed for added risk discrimination by assessing Akaike information criterion, c-statistic, integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI). RESULTS The MetS severity score appears to add to the predictive ability of individual CHD and diabetes risk scores. Using the IDI, MetS improved risk prediction for diabetes but not CHD risk. In all 4 scoring systems, MetS severity had a significant non-event NRI, improving the ability to exclude individuals without events. Assessing interactions between risk scores and MetS severity revealed that MetS severity was more highly associated with disease risk among those in the lowest quintiles of risk score, suggesting that MetS was particularly able to identify risk among individuals judged to be of low risk by existing algorithms. CONCLUSIONS Mets severity improved prediction of diabetes more so than CHD. Incorporation of multiple risk predictors into electronic health records may help in better identifying those at high disease risk, who can then be placed earlier on preventative therapy.
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Affiliation(s)
- Yi Guo
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608 USA
| | - Solomon K. Musani
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39213 USA
| | - Mario Sims
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39213 USA
| | - Thomas A. Pearson
- Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608 USA
| | - Mark D. DeBoer
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Virginia, Charlottesville, VA 22908 USA
| | - Matthew J. Gurka
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608 USA
- 2004 Mowry Rd Room 3211, PO Box 100177, Gainesville, FL 32610-0177 USA
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Karunakaran S, Clee SM. Genetics of metabolic syndrome: potential clues from wild-derived inbred mouse strains. Physiol Genomics 2018; 50:35-51. [DOI: 10.1152/physiolgenomics.00059.2017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The metabolic syndrome (MetS) is a complex constellation of metabolic abnormalities including obesity, abnormal glucose metabolism, dyslipidemia, and elevated blood pressure that together substantially increase risk for cardiovascular disease and Type 2 diabetes. Both genetic and environmental factors contribute to the development of MetS, but this process is still far from understood. Human studies have revealed only part of the underlying basis. Studies in mice offer many strengths that can complement human studies to help elucidate the etiology and pathophysiology of MetS. Here we review the ways mice can contribute to MetS research. In particular, we focus on the information that can be obtained from studies of the inbred strains, with specific focus on the phenotypes of the wild-derived inbred strains. These are newly derived inbred strains that were created from wild-caught mice. They contain substantial genetic variation that is not present in the classical inbred strains, have phenotypes of relevance for MetS, and various mouse strain resources have been created to facilitate the mining of this new genetic variation. Thus studies using wild-derived inbred strains hold great promise for increasing our understanding of MetS.
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Affiliation(s)
- Subashini Karunakaran
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Susanne M. Clee
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
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Heshmat R, Heidari M, Ejtahed HS, Motlagh ME, Mahdavi-Gorab A, Ziaodini H, Taheri M, Shafiee G, Beshtar S, Qorbani M, Kelishadi R. Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetol Metab Syndr 2017; 9:89. [PMID: 29151898 PMCID: PMC5679142 DOI: 10.1186/s13098-017-0291-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 11/03/2017] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The purpose of the present study was to assess the validity of continuous metabolic syndrome score (cMetS) for predicting metabolic syndrome (MetS) and to determine the cutoff values in a representative sample of Iranian children and adolescents. METHODS This national study was conducted among 3843 students, aged 7-18 years country during the fifth survey of a national school-based surveillance program. The cMetS was computed by standardizing the residuals of waist circumference, mean arterial blood pressure, high-density lipoprotein cholesterol, triglycerides, and glucose by regressing them according to age and sex and aggregating them. The optimal cut-off points of cMetS for predicting MetS were determined by the receiver operation characteristic (ROC) curve analysis in different gender and age categories. RESULTS Totally, 3843 students (52.3% boys) with average age of 12.45 years were assessed. The mean of cMetS increased according to elevating the number of MetS components. The overall cMetS cut-off point was 1.76 (sensitivity 93% and specificity 82%) in total pediatrics. The area under the ROC curve was 94%. The values for boys and girls were 1.79 and 2.72, respectively. CONCLUSIONS cMetS performed highly accurate in predicting pediatrics with MetS in all gender and age groups and it appears to be a valid index in children and adolescents.
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Affiliation(s)
- Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Motahar Heidari
- Child Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hanieh-Sadat Ejtahed
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular -Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Armita Mahdavi-Gorab
- Department of Basic and Clinical Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hasan Ziaodini
- Health Psychology Research Center, Education Ministry, Tehran, Iran
| | - Majzoubeh Taheri
- Office of Adolescents and School Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Gita Shafiee
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Beshtar
- Student Research Committee, School of Paramedical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorbani
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Roya Kelishadi
- Child Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
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