New non-invasive method for early detection of metabolic syndrome in the working population

Romero-Saldaña, Manuel; Fuentes-Jiménez, Francisco; Vaquero-Abellán, Manuel; Álvarez-Fernández, Carlos; Molina-Recio, Guillermo

doi:10.1177/1474515115626622

Cited by 33 publications

(46 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, NIM-MetS has proved to be highly specific, reaching an overall SP of 94.9% (92.5% in men and 97.8% in women). Both VI and the SP recorded values above those achieved by this method in another Spanish population, 15 where it obtained an IV = 89.5% and 91.5% SP. For S, the overall figure was 56.4% (59.4% for men and 40.9% for women), while in the original population, the overall S was 77.9%.…”

Section: Discussionmentioning

confidence: 55%

“… 21 In fact, the most common observation is that a test for early detection or diagnosis alters its S and SP depending on these characteristic features of the population. Therefore, the main differences between the two populations (the Balearic and the one considered in the previous study developed in Cordoba 15 ) were analysed, highlighting those features of the Balearic population which contributed to a decreased S: a younger population (40.0 years vs 45.1 years), more women (42.7% vs 32.1%), more smokers (34.8% vs 28.6%) and lower values for WC (82.9 cm vs 87.8 cm), WHtR (0.49 vs 0.52) and BMI (26.1 kg/m 2 vs 26.5 kg/m 2 ).…”

Section: Discussionmentioning

confidence: 92%

“…When the NIM-MetS method was applied in this new larger sample of 60 799 workers from the Balearic Islands, the method has showed again the same variables obtained in the original study performed in Cordoba. 15 In the multiple logistic regression, WHtR and BP achieved the highest adjusted OR values. Thus, WHtR was the anthropometric index that best discriminated MetS presence, with an adjusted OR value of 4.4 (3.9–4.9), while SBP obtained an adjusted OR value of 3.8 (3.5–4.1).…”

Section: Discussionmentioning

confidence: 94%

“… 14 In a previous publication, a non-invasive method for early detection of MetS (NIM-MetS) using only two anthropometric variables (WHtR and BP) has been proposed and validated. 15 This method suggests WHtR ≥0.55 as the predictive threshold for the early detection of MetS for both men and women and, also, for any age stratum.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population

et al. 2018

Self Cite

View full text Add to dashboard Cite

ObjectivesA non-invasive method for the early detection of metabolic syndrome (NIM-MetS) using only waist-to-height ratio (WHtR) and blood pressure (BP) has recently been published, with fixed cut-off values for gender and age. The aim of this study was to validate this method in a large sample of Spanish workers.DesignA diagnostic test accuracy to assess the validity of the method was performed.SettingOccupational health services.ParticipantsThe studies were conducted in 2012–2016 on a sample of 60 799 workers from the Balearic Islands (Spain).InterventionsThe NCEP-ATP III criteria were used as the gold standard. NIM-MetS has been devised using classification trees (the χ2 automatic interaction detection method).Main outcome measuresAnthropometric and biochemical variables to diagnose MetS. Sensitivity, specificity, validity index and Youden Index were determined to analyse the accuracy of the diagnostic test (NIM-MetS).ResultsWith regard to the validation of the method, sensitivity was 54.7%, specificity 94.9% and the Validity Index 91.2%. The cut-off value for WHtR was 0.54, ranging from 0.51 (lower age group) to 0.56 (higher age group). Variables more closely associated with MetS were WHtR (area under the curve (AUC)=0.85; 95% CI 0.84 to 0.86) and systolic BP (AUC=0.79; 95% CI 0.78 to 0.80)). The final cut-off values for the non-invasive method were WHtR ≥0.56 and BP ≥128/80 mm Hg, which includes four levels of MetS risk (very low, low, moderate and high).ConclusionsThe analysed method has shown a high validity index (higher than 91%) for the early detection of MetS. It is a non-invasive method that is easy to apply and interpret in any healthcare setting. This method provides a scale of MetS risk which allows more accurate detection and more effective intervention.

show abstract

Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…The authors had previously developed a new method for the early detection of MetS in the working population, which was free of biomarkers (non-invasive) and based on anthropometric variables [34,35]. This method uses non-invasive techniques and is based on just two anthropometric variables: Waist-to-Height Ratio (WtHR) (≥0.55) and Blood Pressure (BP) (≥128/85 mmHg).…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Approach to the Metabolic Syndrome in Children and Its Economic Burden

Álvarez

Aparicio-Martínez

Pozo

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

The prevalence of obesity continues to grow, resulting in metabolic syndrome and increasing economic burden for health systems. The objectives were to measure the ability of the NIM-MetS test, previously used in the adults, for the early and sustainable detection of the Metabolic Syndrome (MetS) in children and adolescents. Moreover, to determine the economic burden of the children with MetS. Furthermore, finally, to use and implement the NIM-MetS test, via a self-created online software, as a new method to determine the risk of MetS in children. The method used was an observational study using different instruments (NIM-MetS test, International Diabetes Federation (IDF), or Cook) and measures (body mass index). Additionally, the economic burden was estimated via a research strategy in different databases, e.g., PubMed, to identify previous papers. The results (N = 265 children, age from 10–12) showed that 23.1% had obesity and 7.2% hypertension. The prevalence of MetS using the NIM-Mets was 5.7, and the cost of these children was approximate 618,253,99 euros. Finally, a model was obtained and later implemented in a web platform via simulation. The NIM-MetS obtained is a non-invasive method for the diagnosis of risk of MetS in children.

show abstract

Employing broad learning and non-invasive risk factor to improve the early diagnosis of metabolic syndrome

Duan,

Wang,

Chen

et al. 2024

iScience

View full text Add to dashboard Cite

New non-invasive method for early detection of metabolic syndrome in the working population

Cited by 33 publications

References 27 publications

Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population

Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population

A Sustainable Approach to the Metabolic Syndrome in Children and Its Economic Burden

Employing broad learning and non-invasive risk factor to improve the early diagnosis of metabolic syndrome

Contact Info

Product

Resources

About