Calculating a Continuous Metabolic Syndrome Score Using Nationally Representative Reference Values

Guseman, Emily Hill; Eisenmann, Joey C.; Laurson, Kelly R.; Cook, Stephen; Stratbucker, William

doi:10.1016/j.acap.2018.02.011

Cited by 16 publications

(13 citation statements)

References 12 publications

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“…Sedangkan untuk penilaian menggunakan skor sindrom metabolik adalah penilaian semua komponen sindrom metabolik menggunakan perhitungan z-score. Perhitungan skor sindrom metabolik (SSM) dilakukan untuk semua komponen sindrom metabolik (lingkar perut, tekanan darah, trigliserida, HDL, dan glukosa darah puasa) dengan menggunakan z-score yang mengacu pada penelitian sebelumnya 15 .…”

Section: Metodeunclassified

“…Skor sindrom metabolik (SSM) merupakan total Z-score semua komponen sindrom metabolik. Sistem skoring tekanan darah menggunakan : 15,6 .…”

Section: Metodeunclassified

“…Total sampel adalah 262 siswa terdiri dari lelaki 42,1 persen dan perempuan 56,9 persen, dengan rerata usia subjek adalah 15 Persentase lingkar perut berdasarkan cutoff untuk NCEP ATP-III dan perhitungan Zscore untuk sindrom metabolik memperlihatkan persentase untuk remaja laki-laki lebih besar dari remaja perempuan demikian juga untuk trigliserida, tekanan darah maupun untuk perhitungan menurut MAP persentase laki-laki lebih besar dari perempuan.…”

Section: Hasilunclassified

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Penentuan Diagnosis Sindrom Metabolik Berdasarkan Penilaian Skor Sindrom Metabolik Dan Ncep Atp-Iii Pada Remaja [Penelitian Di Beberapa Sma Di Kota Bogor]

Christijani

2019

Penel Gizi Makan

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Metabolic syndrome is a group of several symptoms of metabolic disorders, such as dyslipidemia, hyperglycemia, hypertension, dan central obesity. Metabolic syndrome does not only happens to adult, but also to the younger age which has further risk to type 2 diabetes melitus and cardiovascular diseases. Therefore, early detection and management to this syndrome for teenager is extremely important in order to prevent the comorbidities in the future. The aim of this study was to compare the sensitivity and specificity between NCEP-ATP III method and metabolic syndrome score as the examinations to determine the metabolic syndrome. This was a cross sectional study that was held on 2012. This study was held in some senior high schools in Bogor City. The samples of this study were 262 senior high school students with the range of age 15-19 years old and fulfill the inclusion criterias. The collected data were some needed characteristics of the respondents, such as gender, body mass index, abdominal circumference, waist circumference, fasting blood sugar, triglyceride, and blood pressure. This study found that the prevalence of the metabolic syndrome in teenager in Bogor City was higher (50,4%) with the NCEP ATP III method than the scoring methods (14,9%). The sensitivity and specificity test found that scoring method had lower sensitivity (<25%) and higher specificity (>96%) . This high specificity showed us that scoring system can be used to strengthen our presumption to metabolic syndrome, instead of diagnosing the metabolic syndrome itself. ABSTRAKSindroma metabolik merupakan kumpulan gejala kelainan metabolik tubuh yang mencakup dislipidemia, hiperglikemia, hipertensi, dan obesitas sentral. Sindroma metabolik tidak hanya terjadi pada usia dewasa, tetapi juga usia muda yang berisiko terhadap penyakit diabetes melitus tipe 2 dan penyakit kardiovaskuler. Deteksi dan manajemen dini terhadap permasalahan sindroma metabolik pada remaja sangat penting dan belum banyak dilakukan penelitian. Penelitian ini bertujuan menganilisis perbandingan sensitivitas dan spesifitas pemeriksaan sindroma metabolik yang menggunakan metode penilaian NCEP-ATP III sebagai baku standar dengan metode penilaian dengan skor sindroma metabolik. Disain penelitian ini cross-sectional yang dilakukan pada tahun 2012. Sampel penelitian ini adalah 262 siswa SMA Kota Bogor yang berusia 15-19 tahun dan memenuhi kriteria inklusi yaitu remaja usia15-19 tahun,bersedia ikut dalam penelitian, tidak dalam pengobatan diabetes atau hipertensi serta diijinkan orangtua. Data yang dikumpulkan mencakup jenis kelamin, IMT, lingkar perut, lingkar pinggang, GDP, trigliserida, dan tekanan darah. Penelitian menghasilkan prevalensi sindroma metabolik pada remaja berdasarkan kriteria NCEP ATP-III sebesar 50,4 persen lebih besar dibandingkan prevalensi berdasarkan metode skoring yaitu 14,9 persen. Hasil uji sensitivitas dan spesifitas didapatkan sindroma metabolik sistem skoring memiliki sensitivitas lebih rendah (<25%) dan spesifitas lebih tinggi di atas (>96%). Spesifitas t...

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Section: Metodeunclassified

“…Skor sindrom metabolik (SSM) merupakan total Z-score semua komponen sindrom metabolik. Sistem skoring tekanan darah menggunakan : 15,6 .…”

Section: Metodeunclassified

Section: Hasilunclassified

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Penentuan Diagnosis Sindrom Metabolik Berdasarkan Penilaian Skor Sindrom Metabolik Dan Ncep Atp-Iii Pada Remaja [Penelitian Di Beberapa Sma Di Kota Bogor]

Christijani

2019

Penel Gizi Makan

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“…This statement highlighted the need to establish a full definition of MS that includes continuous variables in a multivariate scoring system [ 9 ]. Existing research relating to scoring a consistent MS measure has involved the use of various tools, including percentile ranking [ 10 ], Z-scores [ 11 , 12 , 13 , 14 ], principal component analysis [ 15 , 16 ], and confirmatory factor analysis [ 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Occupational Assessments of Risk Factors for Cardiovascular Diseases in Labors: An Application of Metabolic Syndrome Scoring Index

Lin

2020

IJERPH

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Unlike a traditional diagnosis of metabolic syndrome (MS), a numerical MS index can present individual fluctuations of health status over time. This study aimed to explore its value in the application of occupational health. Using a database of physiological and biochemical tests and questionnaires, data were collected from 7232 participants aged 20 to 64 years who received occupational health screenings at a health screening institution in 2018. Using confirmatory factor analysis, five components of MS were used to design an MS severity scoring index, which was then used to evaluate the risks of occupation factors. Waist circumference was the largest loading factor compared with the other MS components. Participants who worked in the traditional industrial, food processing, or electronic technology industries had higher MS severity than those in the logistics industry. Those who worked as a manager or over five years had a relatively high severity. The research showed that assessments based on an MS severity score are applicable when the risk factors of suboptimal health are involved. By monitoring the scores over time, healthcare professionals can propose preventive strategies in time, thus enhancing the effectiveness of occupational health examination services.

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“…However, the authors have derived cMetS score from the MS component z-score of their cohort of patients and hence, the risk score and cut-offs may not be applicable to other populations. One way to overcome this limitation would be to use ethnic nationally representative (rather than sample specific) data for z-scores of MS risk components [14]. Secondly, the cMetS risk score calculation is based on the assumption that all components of MS contribute equally to disease risk; however, it is known that MS components may influence risk differentially depending on gender and ethnicity [15].…”

mentioning

confidence: 99%

Continuous Metabolic Syndrome Score in Children: How Useful is it?

Sharma

2019

Indian J Pediatr

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Calculating a Continuous Metabolic Syndrome Score Using Nationally Representative Reference Values

Cited by 16 publications

References 12 publications

Penentuan Diagnosis Sindrom Metabolik Berdasarkan Penilaian Skor Sindrom Metabolik Dan Ncep Atp-Iii Pada Remaja [Penelitian Di Beberapa Sma Di Kota Bogor]

Penentuan Diagnosis Sindrom Metabolik Berdasarkan Penilaian Skor Sindrom Metabolik Dan Ncep Atp-Iii Pada Remaja [Penelitian Di Beberapa Sma Di Kota Bogor]

Occupational Assessments of Risk Factors for Cardiovascular Diseases in Labors: An Application of Metabolic Syndrome Scoring Index

Continuous Metabolic Syndrome Score in Children: How Useful is it?

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