scholarly journals Lipid accumulation product is a reliable indicator for identifying metabolic syndrome: the China Multi-Ethnic Cohort (CMEC) Study

QJM ◽  
2020 ◽  
Author(s):  
X Zhang ◽  
F Hong ◽  
L Liu ◽  
F Nie ◽  
L Du ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Roc Curve ◽  
Lipid Accumulation ◽  
Operating Characteristic ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sensitivity Analyses ◽  
Lipid Accumulation Product ◽  
Cross Sectional ◽  
Obesity Indices

Abstract Background Previous studies have shown that lipid accumulation product (LAP) was associated with the risk of cardiometabolic disease. It is not clear whether LAP could be used as a marker to identify metabolic syndrome (MetS) among Chinese ethnic groups. Aim: To assess the reliability of LAP as a maker to identify MetS among Dong adults. Design: Population-based cross-sectional study. Method We included 6494 Dong individuals (1403 patients) aged 30–79 years from southwest China. MetS was established by Chinese Diabetes Society. Logistic regression model was utilized to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curve was utilized to calculate area under the ROC curve (AUC) and 95% CIs to obtain the identification ability for MetS. Results The risk of MetS was increased with per 5 units increase of LAP (OR 1.37 [95% CI, 1.34–1.39]). Similar results were found in subgroup analyses and sensitivity analyses. Clustered metabolic risk associated with per 5 units increase of LAP was observed for people with 1 (OR 1.59 [95% CI, 1.53–1.65]), 2 (2.15 [2.06–2.24]), 3 (2.59 [2.48–2.71]), 4 (2.81 [2.69–2.95]) and 5 (3.03 [2.87–3.21]) MetS components. LAP presented higher AUC (0.915 [95% CI, 0.907–0.923]) than other included obesity indices (P < 0.05). Conclusion These data support evidence that LAP was related to the risk of MetS, had a high AUC and could be a reliable index for identifying MetS patients among Dong adults in Chinese.

scholarly journals Starchy Vegetables and Metabolic Syndrome in Costa Rica

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1639
Author(s):  
Zhongyao Li ◽  
Dongqing Wang ◽  
Edward A. Ruiz-Narváez ◽  
Karen E. Peterson ◽  
Hannia Campos ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Models ◽  
Fasting Blood Glucose ◽  
Population Based ◽  
Cross Sectional Study ◽  
Costa Rican ◽  
Least Square ◽  
Inverse Association ◽  
Linear Regression Models ◽  
Cross Sectional

Only a few studies primarily examined the associations between starchy vegetables (other than potatoes) and metabolic syndrome (MetS). We aimed to evaluate the association between starchy vegetables consumption and MetS in a population-based sample of Costa Rican adults. We hypothesized that a higher overall intake of starchy vegetables would not be associated with higher MetS prevalence. In this cross-sectional study, log-binomial regression models were used to estimate prevalence ratios (PRs) of MetS across quintiles of total, unhealthy, healthy starchy vegetables, and individual starchy vegetables (potatoes, purple sweet potatoes, etc.), among 1881 Costa Rican adults. Least square means and 95% confidence intervals (CIs) from linear regression models were estimated for each MetS component by categories of starchy vegetable variables. Higher intakes of starchy vegetables were associated with a higher prevalence of MetS in crude models, but no significant trends were observed after adjusting for confounders. A significant inverse association was observed between total starchy and healthy starchy vegetables consumption and fasting blood glucose. In this population, starchy vegetables might be part of a healthy dietary pattern.

scholarly journals Association of Dietary and Lifestyle Inflammation Score With Metabolic Syndrome in a Sample of Iranian Adults

2021 ◽  
Vol 8 ◽  
Author(s):  
Fatemeh Dehghani Firouzabadi ◽  
Ahmad Jayedi ◽  
Elaheh Asgari ◽  
Zahra Akbarzadeh ◽  
Nasim Janbozorgi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Adult Population ◽  
Positive Association ◽  
Population Based ◽  
Cross Sectional Study ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
General Adult Population ◽  
Education Status ◽  
Inflammation Score

Objective: We aimed to evaluate the association between the dietary and lifestyle inflammation score (DLIS) and metabolic syndrome (MetS) and its components in a sample of Iranian adults.Design: Population-based cross-sectional study.Setting: General adult population living in Tehran, Iran.Subjects: We included 827 adult men and women with an age range of 18–59 years who were referred to health centers in different districts of Tehran, Iran. Dietary intake was assessed by a semiquantitative food frequency questionnaire with 168 items. The DLIS was calculated based on four components, including dietary inflammation score, physical activity, cigarette smoking, and general obesity. Higher DLIS represents a more proinflammatory diet and lifestyle. The odds ratio (OR) and 95% confidence interval (CI) of the MetS across quartiles of the DLIS was calculated by using logistic regression analysis, controlling for age, sex, energy intake, marital status, education status, and occupation.Results: A total of 827 participants (31% men) were included, with a mean age of 44.7 ± 10.7 years. The prevalence of the MetS was 30.5%. The DLIS ranged between −2.35 and +3.19 (mean ± SD: 0.54 ± 1.09). There was a significant positive association between the DLIS and odds of MetS (OR fourthvs.thefirstquartile: 1.57, 95% CI: 1.01–2.45) in the fully adjusted model.Conclusion: Our results showed a significant positive association between the DLIS and odds of MetS. The results of the present crosssectional study suggested that having a more proinflammatory lifestyle can be associated with MetS. More prospective studies are needed to confirm the findings.

Serum diiodotyrosine—a biomarker to differentiate destructive thyroiditis from Graves’ disease

2021 ◽  
Author(s):  
Naoya Fujita ◽  
Yosuke Ono ◽  
Azusa Sano ◽  
Motohiro Kimata ◽  
Seigo Oyama ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Cross Sectional Study ◽  
Curve Analysis ◽  
Diagnostic Methods ◽  
Graves Disease ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Chromatography Tandem Mass Spectrometry ◽  
Liquid Chromatography Tandem Mass

Objective: Conventional diagnostic methods are limited in their ability to differentiate destructive thyroiditis from Graves’ disease. We hypothesised that serum diiodotyrosine (DIT) and monoiodotyrosine (MIT) levels could be biomarkers for differentiating destructive thyroiditis from Graves’ disease. Design: Patients with destructive thyroiditis (n = 13) and Graves’ disease (n = 22) were enrolled in this cross-sectional study. Methods: We assayed the serum DIT and MIT levels using liquid chromatography-tandem mass spectrometry. A receiver operating characteristic (ROC) curve analysis was used to determine the sensitivity and specificity of the serum DIT and MIT levels as biomarkers for differentiating destructive thyroiditis from Graves’ disease. Results: The serum DIT and MIT levels were significantly higher in patients with destructive thyroiditis than in those with Graves’ disease. The ROC curve analysis showed that the serum DIT levels (≥ 359.9 pg/mL) differentiated destructive thyroiditis from Graves’ disease, significantly, with 100.0% sensitivity and 95.5% specificity (P < .001). The diagnostic accuracy of the serum MIT levels (≥119.4 pg/mL) was not as high as that of the serum DIT levels (sensitivity, 84.6%; specificity, 77.3%; P = .001). Conclusions: The serum DIT levels may serve as a novel diagnostic biomarker for differentiating destructive thyroiditis from Graves’ disease.

scholarly journals Association of metabolic syndrome and cognitive function in a population‐based cross‐sectional study of adults aged 60 years or older

2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Shama D. Karanth ◽  
Yuriko Katsumata ◽  
Peter T. Nelson ◽  
Richard J. Kryscio ◽  
Frederick A Schmitt ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cognitive Function ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Prevalence and determinants of the metabolic syndrome among Tunisian adults: results of the Transition and Health Impact in North Africa (TAHINA) project

2012 ◽  
Vol 16 (4) ◽  
pp. 582-590 ◽  
Author(s):  
Hanen Belfki ◽  
Samir Ben Ali ◽  
Hajer Aounallah-Skhiri ◽  
Pierre Traissac ◽  
Souha Bougatef ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
North Africa ◽  
Health Impact ◽  
Population Based ◽  
Cross Sectional Study ◽  
Intervention Programme ◽  
Cvd Risk ◽  
Cross Sectional ◽  
The Metabolic Syndrome

AbstractObjectiveTo determine the prevalence of metabolic syndrome (MetS) and its components and to evaluate the relationship between this diagnosis and cardiovascular risk factors, demographic and socio-economic variables.DesignA cross-sectional study using a questionnaire including information on sociodemographic and CVD risk factors. Blood pressure, anthropometric indices, fasting glucose and lipid profile were measured. MetS was defined according to the criteria of the National Cholesterol Education Program, Adult Treatment Panel III.SettingThe whole Tunisian territory; Transition and Health Impact in North Africa (TAHINA) project.SubjectsA total of 4654 individuals (1840 men and 2814 women), aged 35 to 74 years, who participated in the Tunisian national survey.ResultsThe overall prevalence of MetS was 30·0 %, higher in women (36·1 %) than in men (20·6 %; P < 0·001). In both genders MetS prevalence increased significantly with age (P < 0·001), but this increase was more important in women. Multiple regression analyses showed that the odds for MetS increased significantly with urban area for both men and women (P < 0·05 and P < 0·001, respectively). The multivariate models showed also that the odds for MetS increased significantly with increasing level of education and in those with a family history of CVD for men (both P < 0·05) and after the menopausal transition for women (P < 0·05).ConclusionsThe study highlights the MetS problem in a middle-income developing country. There is an urgent need for a comprehensive, integrated, population-based intervention programme to ameliorate the growing problem of MetS in Tunisians.

scholarly journals The relation between dietary phytochemical index and metabolic syndrome and its components in a large sample of Iranian adults: a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Azam Ahmadi Vasmehjani ◽  
Zahra Darabi ◽  
Azadeh Nadjarzadeh ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Energy Intake ◽  
Lower Risk ◽  
Population Based ◽  
Cross Sectional Study ◽  
Food Sources ◽  
Protective Effects ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Second Category

Abstract Background Despite the protective effects of foods being rich in phytochemicals against chronic diseases, this issue is still poorly understood. The aim of this study was to investigate the association between Dietary Phytochemical Index (DPI) and metabolic syndrome (MetS) and its components. Methods This cross-sectional study focused on adults aged between 20 and 70years. The dietary intake was assessed using a validated and reliable food frequency questionnaire. DPI was calculated based on dietary energy, derived from phytochemical-rich food sources (kcal) per total daily energy intake (kcal). The odds ratio of MetS and its components were assessed across DPI quartiles by logistic regression models. Results After adjustment for all potential confounders, the risk of MetS (OR: 0.63, 95% CI = 0.41–0.96) and elevated blood pressure (OR: 0.62, 95% CI = 0.40–0.96) in the second category of DPI decreased significantly as compared to that in the first category. Subjects in the second and fourth quartiles of DPI with adjusting for age, sex and total energy intake revealed 30 and 25% lower risk of abdominal obesity, respectively. After full adjustment for confounders, the analysis stratified by sex showed women in the highest quartile of DPI had 59% lower risk of MetS (OR: 0.41, 95% CI = 0.22–0.76) as compared to those in the lowest quartile of DPI. Conclusions Greater adherence to phytochemical-rich diet could reduce odds of MetS and some components, especially in women. Further studies with intervention approaches are recommended.

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