Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death

Lin, Ting‐Yu; Chien, Kuo‐Liong; Chiu, Yueh‐Hsia; Chuang, Pi-Chun; Yen, Ming Fang; Chen, Chien-Jen

doi:10.1038/s41598-021-83118-y

Cited by 11 publications

(10 citation statements)

References 17 publications

(15 reference statements)

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“…The higher score indicated higher depression. More than 10 points can be considered to be accompanied by depression; ③ Body mass index (BMI) level: weight (kg)/height (m) 2 . It is divided into: thin (BMI <18.5 kg/m 2 ), normal body weight (18.5kg/m 2 ≤ BMI < 24.0 kg/m 2 ), overweight (24.0kg/m 2 ≤ BMI < 28.0 kg/m 2 ), obesity (BMI ≥28.0 kg/m 2 ); ④ High total cholesterol (TC): TC ≥5.20 mmol/l; ⑤High low density lipoprotein cholesterol (LDL-C): LDL-C ≥3.40 mmol/l; ⑥ Hyperuricemia: male blood uric acid concentration ≥420 μmol/L, female blood uric acid concentration ≥350 μmol/L; ⑦ High glycated hemoglobin (HbA1c): HbA1c ≥6%; ⑧High C-reactive protein (CRP): CRP ≥5 mg/L.…”

Section: Variablesmentioning

confidence: 99%

“…Metabolic syndrome (MetS) is a cluster of syndromes with central obesity, hypertension, hyperglycemia and dyslipidemia as metabolic disorders. 1 , 2 Its essence of occurrence is the abnormal aggregation of a variety of disease states and potential risk factors related to cardiovascular disease. These potential risk factors cooperate with disease states and seriously threaten human health.…”

Section: Introductionmentioning

confidence: 99%

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Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

Razbek¹,

Zhang²,

Xia³

et al. 2022

DMSO

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Aim Metabolic syndrome (MetS) coexists with the occurrence and even death of cardiovascular disease and diabetes mellitus. It is essential to study the factors in the dynamic progression of MetS in the interest of prevention and control. Purpose The aim of this study was to analyze the dynamic progression of Mets and explore the potential factors influencing the progression or reversal of MetS. Patients and Methods This study involved 5581 individuals from two waves of the China Health and Retirement Longitudinal Study: 2011 and 2015. A multistate Markov model containing 4 states (free of metabolic disorder (FMD), mild metabolic disorder (MMD), severe metabolic disorder (SMD) and MetS) was adopted to study the dynamic progression of MetS and its influencing factors. Results After follow-up, a total of 2862 cases (50.28% of the total number) had disease state transition. The intensity of transition from MetS to SMD is the same as that from SMD to MMD, and is greater than that from MMD to Mets (0.06 vs 0.05). For the MetS state, a mean of 1/0.08=12.5 years was spent in the MetS state before recovery. The exercise, smoke, drink, BMI level, hyperuricemia had statistically significant effects on progression of MetS status ( P <0.05). The obesity or overweight, little exercise, smoke, drink and hyperuricemia increased the risk of forward progression of MetS disease status. There were significant nonmodifiable (age, gender) and modifiable factors (exercise, drink, BMI level, or high HbA1c) associated with reversion of MetS state. Conclusion The likelihood of progression from MMD to MetS is less likely than that of reversion from MetS to SMD and SMD to MMD. Old females were more resistant to recover from worse states than males. Prevention and intervention measures should be adopted early when MMD or SMD onset occurs.

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Section: Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

Razbek¹,

Zhang²,

Xia³

et al. 2022

DMSO

View full text Add to dashboard Cite

show abstract

“…Metabolic syndrome is a complex constellation of disorders that increase the risk of coronary heart disease (CHD) [1][2][3]. Reaven first described the metabolic syndrome in 1988 as "Syndrome X."…”

Section: Introductionmentioning

confidence: 99%

Comparative study on the efficacy of statin therapy in lowering cholesterol and assessing the risk of metabolic syndrome in patients under statins therapy

Raju¹,

Sharifa²,

Soumya³

et al. 2023

Cell. Mol. Biomed. Rep.

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The objective of the study is to compare and evaluate the efficacy of atorvastatin (group -A) versus rosuvastatin (group -B) on baseline parameters like lipid profile tests and to assess the risk of metabolic syndrome using a Mets calculator. A total of 100 patients were enclosed in the present study who met the inclusion criteria. They were divided into two groups based on their treatment plan Group A includes 24 males and 26 females while Group B includes 23 males and 27 females. The mean differences before treatment for group A and group B are as follows, HDL ( 31.52±0.35 and 28.34±0.480), LDL (161.4±1.09 and 163.16±0.94), Total cholesterol (252.82±1.09 and 255.56±1.26) and Triglycerides (214.2±0.86 and 215.98±0.62), VLDL (35.98±0.56 and 36.12±0.43). The mean differences after treatment for group A and group B are as follows HDL (39.92±0.46 and 42.04±0.30), LDL (144.96±0.68 and 138.34±0.73), Total cholesterol (181.48±1.98 vs 174.32±2.08), Triglycerides (185.94±1.22 vs 181.74±1.77), VLDL (27.14±0.21 and 24.72±0.27).Group B (P=0.001) exhibited a significantly greater reduction in cholesterol levels as compared to Group A (P = 0.002). The reductions in LDL, VLDL, Total Cholesterol, and Triglycerides along with increased HDL levels were found to be significantly more in the Rosuvastatin group. In this study, we observed that patients on Rosuvastatin exhibited better control over lipid profile when compared to patients who are on Atorvastatin. Since, this study was conducted on a smaller number of patients, to make consecutive remarks about the superiority of either of the treatment regimen; further analysis of clinical trials is required for appropriate selection of the best statin therapy.

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“…Metabolic syndrome (MetS) is considered to be a series of common metabolic disorders consisting of hyperglycemia, dyslipidemia, hypertension, and central obesity, which are signi cantly associated with the risk of all-cause mortality and cardiovascular events (Fahed et al 2022, Lin et al 2021, Pammer et al 2021. MetS affects more than 30 percent of adults worldwide (Aberg et al 2023).…”

Section: Introductionmentioning

confidence: 99%

Research on the relationship between common metabolic syndrome and meteorological factors in Wuhu, a subtropical humid city of China

Zhang

Jia

et al. 2023

Preprint

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With the deterioration of climate issue, human's health is exposed to much more extensive kinds of threats. The primary purpose of this study was to ascertain the harzard of death from metabolic syndrome (MetS) caused by meteorological factors. We collected daily data from 2014 to 2020 in Wuhu City, including meteorological factors, environmental pollutants and death data of common MetS (hypertension, hyperlipidemia and diabetes), as well as a total number of 15,272 MetS deaths. In order to explore the relationship between meteorological factors, air pollutants and MetS mortality, we used a generalized additive model (GAM) combined with a distributed delay nonlinear model (DLNM) for time series analysis. The relationship between the above factors and death outcomes was preliminarily evaluated using Spearman analysis and structural equation modeling (SEM). As per out discovery, diurnal temperature range (DTR) and daily mean temperature (T mean) increased the MetS mortality risk notably. The ultra low DTR raised the MetS mortality risk upon the general people, with the highest RR value of 1.033 (95% CI: 1.002, 1.065) at lag day 14. In addition, T mean was also significantly associated with MetS death. The highest risk of ultra low and ultra high T mean occured on the same day (lag 14), RR values were 1.043 (95% CI: 1.010, 1.077) and 1.032 (95% CI: 1.003, 1.061) respectively. Stratified analysis’s result showed lower DTR had a more pronounced effect on women and the elderly, and ultra low and high T mean was a risk factor for MetS mortality in women and men. The elderly need to take extra note of temperature changes, and different levels of T mean will increase the risk of death.

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Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death

Cited by 11 publications

References 17 publications

Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

Comparative study on the efficacy of statin therapy in lowering cholesterol and assessing the risk of metabolic syndrome in patients under statins therapy

Research on the relationship between common metabolic syndrome and meteorological factors in Wuhu, a subtropical humid city of China

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