Comparison of metabolic syndrome prevalence using four different definitions – a population-based study in Finland

Haverinen, Elsi; Paalanen, Laura; Palmieri, Luigi; Padrón-Monedero, Alicia; Noguer-Zambrano, Isabel; Suárez, Rodrigo Sarmiento; Tolonen, Hanna

doi:10.1186/s13690-021-00749-3

Cited by 26 publications

(26 citation statements)

References 56 publications

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“…We also performed a sensitivity analysis using the International Diabetes Federation (IDF) criteria. This definition requires an increased WC (for men ≥94 cm and for women ≥80 cm) plus at least two of the following 42 : (1) FPG ≥ 5.6 mmol/L or previous diagnosis of T2DM, (2) TG ≥ 1.70 mmol/L or current use of antihyperlipidemic medication, (3) HDL‐C < 1.04 mmol/L for men and <1.30 mmol/L for women, and (4) SBP ≥ 130 mm Hg or DBP ≥ 85 mm Hg or current use of antihypertensive medication.…”

Section: Methodsmentioning

confidence: 99%

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Reproductive factors and metabolic syndrome among Chinese women aged 40 years and older

Bai

Yang

Sun

et al. 2022

Journal of Diabetes

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Background The aim of this study is to explore the relationship between reproductive variables and the prevalence of metabolic syndrome (MetS) and its components among Chinese women aged 40 years and older. Methods A cross‐sectional study was conducted among 4453 women aged 40 years and older in Guangxi, China. The associations between women's reproductive factors and MetS were analyzed using a logistic regression model. Results The prevalence of MetS was 23.9% in this population. Women with MetS were mostly older, more likely to be postmenopausal, and had higher parity. Compared to women with one prior live birth, those with three or more live births had the highest odds of having MetS (odds ratio [OR] = 1.56; 95% CI, 1.23–1.99). Similarly, compared to premenopausal women, postmenopausal participants had higher odds of having MetS (OR = 1.86; 95% CI, 1.49–2.31). No associations were observed between MetS and abortion or with age at menarche. Conclusions Our study suggests that multiparity and menopausal status may be associated with the development of MetS. The inconsistency seen in epidemiological research to date calls for further investigation.

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Section: Methodsmentioning

confidence: 99%

Section: Classification and Definitionmentioning

confidence: 99%

Reproductive factors and metabolic syndrome among Chinese women aged 40 years and older

Bai

Yang

Sun

et al. 2022

Journal of Diabetes

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“…Males (69) have a higher prevalence of BP than females (61.5%) in NCEP ATP III and in IDF prevalence also, males (76.9%) are higher than females (48.4%). Haverinen et al found the same study in Finland [67]. An association between MetSs with biochemical components is presented in Table 12.…”

Section: Rajwal Et Almentioning

confidence: 61%

Study of Metabolic Syndrome in Indian Population With Comparison of Two Definitions

Rajwal

Singh

Neupane

2022

Asian J Pharm Clin Res

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Objectives: Metabolic syndrome (MetS) is described as the collection of risk factors for cardiovascular disease such as hypertension, hyperglycemia/ insulin resistance, abdominal obesity, and dyslipidemia. In developed countries, MetS is highly prevalent among adults and is an emerging health problem in developing countries. In this study, we used the International Diabetes Federation (IDF) and National Cholesterol Education Program- Adult Treatment Panel-III (NCEP-ATP III) to define the Mets. The aim of this research was to evaluate the prevalence of MetS, its components, and its major risk factors among adults ≥20 in Jammu and Kashmir according to IDF and the NCEP ATP III criteria. Methods: The project was conducted in the Department of Biochemistry, Laboratory Medicine, Shri Mata Vaishno Devi Narayana Superspeciality Hospital, Katra, and Jammu and Kashmir in 100 subjects between the age groups of 20 and 80 years old attending the OPD from 2 January to 30 April 2017. Results: MetS was diagnosed in 57% and 55%, gender-wise distribution came out to be 45.6% and 52.7% in men, and in women, we found 54.3% and 47.3%, according to IDF and the NCEP ATP III definition, respectively. Conclusion: In our study, IDF criteria were better for the early diagnosis of MetS. On the basis of gender prevalence in all parameters in IDF, females are at risk, and in NCEP ATP III, males are more at risk. According to the IDF, central obesity is the only the risk for women.

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“…Metabolic syndrome is an increasingly important global public health issue affecting both developed and developing nations [1][2][3][4]. The studies revealed 34.1%, 33.3%, 21.66%, 37.05%, 19.1%, 43.83%, 20.6% and 34.2% burden of MetS in Brazil [5], Finland [6], Indonesia [7], Iran [8], Uganda [9], Ghana [10], Malaysia [11], and Ethiopia [12], respectively. According to ATP III guideline [13], MetS is defined as the presence of three or more of the following conditions: waist circumference(WC) �102 cm in men or �88 cm in women; blood pressure (BP) �130/ �85 mm Hg; fasting blood glucose (FBS) �126 mg/dl; triglyceride (TG) �150 mg/dl and low high-density lipoprotein (HDL) <40 mg/dl in men or <50 mg/dl in women.…”

Section: Introductionmentioning

confidence: 99%

Role of platelet indices as diagnostic and predictive biomarkers for comorbidity of diabetes and metabolic syndrome in southern Ethiopia: A comparative cross-sectional study

et al. 2022

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Background Metabolic syndromes (MetS) and diabetes mellitus (DM) comorbidity is a growing major global public health problem with huge morbidity and mortality. It is a pro-inflammatory and prothrombotic disorder characterized by alteration of platelet indices and increased platelet activation, however, the tendency to use them in diagnosis is not yet fully evaluated in our context and there is limited evidence on the role of platelet indices in predicting and differentiating DM+MetS comorbidity in Ethiopia. Thus, this study aimed to evaluate platelet indices in HC, DM, and DM+MetS, and to determine their role in the prediction of DM+MetS comorbidity risk and the distinction between DM+MetS and DM or healthy persons in southwest Ethiopia. Method and materials A comparative cross-sectional study was conducted in Wolkite University specialized hospital from March to August 2021. A total of 336 study participants (112 healthy controls (HC), 112 DM, 112 DM+MetS) was included in this study. Anthropmetric data were measured and the venous blood sample was collected to determine platelet indices, lipid profiles, and blood glucose levels. The SPSS version 21 statistical software was used to perform receiver operating curve (ROC), one-way ANOVA, and independent T-test analysis. The p-value for statistical significance was set at <0.05. Result In the present study, we found a significant difference in the mean value of PLT, MPV, and PDW between DM+MetS, DM, and HC. A statistically significant difference in the mean value of MPV and PDW was observed between HC and DM+MetS as well as DM and DM+MetS (p-value<0.001). At the cutoff value of 9.65fl with a sensitivity of 81.3% and a specificity of 67.9%, MPV differentiates DM+MetS from HC with an AUC of 0.859. MPV can differentiate DM+MetS from DM at a cutoff value of 10.05fl with sensitivity, specificity, and an AUC of 67.9%, 65.2%, and 0.675, respectively. At the cutoff value of 9.65fl with a sensitivity of 69.6% and a specificity of 67.9%, MPV differentiates DM from HC with an AUC of 0.747. The best platelet parameter identified in this study for predicting the presence of DM+MetS comorbidity was MPV (AUC=0.859; 95%CI=0.81-0.90). Conclusion In this study, a significant difference in the mean value of PLT, MPV, and PDW was found between DM+MetS, DM, and HC. The mean value of platelet indices showed significant increases in DM+MetS patients in comparison to HC and DM. MPV has been identified as a good potential marker to predict DM+MetS comorbidity and to differentiate DM+MetS comorbidity from the HC or DM. Our results show that MPV could be a good hematological marker to differentiate DM+MetS comorbidity from the HC or DM, and may offer supportive information for early diagnosis, prevention, and control. Thus, the findings of this study should be taken into account for the prevention and control of DM+MetS comorbidity.

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Comparison of metabolic syndrome prevalence using four different definitions – a population-based study in Finland

Cited by 26 publications

References 56 publications

Reproductive factors and metabolic syndrome among Chinese women aged 40 years and older

Reproductive factors and metabolic syndrome among Chinese women aged 40 years and older

Study of Metabolic Syndrome in Indian Population With Comparison of Two Definitions

Role of platelet indices as diagnostic and predictive biomarkers for comorbidity of diabetes and metabolic syndrome in southern Ethiopia: A comparative cross-sectional study

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