Literature DB >> 24452117

Socio-demographic factors and the prevalence of metabolic syndrome among filipinos from the LIFECARE cohort.

Rody G Sy1, Elmer Jasper B Llanes, Paul Ferdinand M Reganit, Nina Castillo-Carandang, Felix Eduardo R Punzalan, Olivia T Sison, Nang Ei Ei Khaing, Richie Poulton, Mark Woodward, E Shyong Tai.   

Abstract

BACKGROUND: Metabolic syndrome(MetS) is an aggregation of multiple metabolic risk factors shown to lead to the development of cardiovascular disease. The International Diabetes Federation(IDF) and the modified National Cholesterol Education Program Adult Treatment Panel Ⅲ(mNCEP) criteria are used in identifying MetS. This report will determine the prevalence of MetS and its component risk factors of the Philippine cohort of the LIFE course study in CARdiovascular disease Epidemiology(LIFECARE).
METHODS: Our study recruited 3,072 participants aged 20-50 years old from Metro Manila and four nearby provinces. Baseline anthropometric and clinical parameters were measured. Prevalence of MetS and its component factors were determined. Associations with socio-demographic factors were determined.
RESULTS: The prevalence of MetS was 19.7% and 25.6% by IDF and mNCEP, respectively(kappa 0.83). Both were associated with increasing age, urban residence, and employed status. It was higher in females by IDF and in males by mNCEP. IDF missed 40% of males and 10% of females identified with MetS by mNCEP. More males were identified by the mNCEP as MetS despite relatively normal waist circumference.
CONCLUSION: MetS is common in the Philippines among older, educated, and urban residents. The mNCEP criteria identified more MetS than the IDF criteria.

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Year:  2014        PMID: 24452117     DOI: 10.5551/jat.21_sup.1-s9

Source DB:  PubMed          Journal:  J Atheroscler Thromb        ISSN: 1340-3478            Impact factor:   4.928


  11 in total

1.  Prevalence of metabolic syndrome: association with risk factors and cardiovascular complications in an urban population.

Authors:  Gisela Cipullo Moreira; José Paulo Cipullo; Luiz Alberto Souza Ciorlia; Cláudia Bernardi Cesarino; José Fernando Vilela-Martin
Journal:  PLoS One       Date:  2014-09-02       Impact factor: 3.240

2.  Prevalence of metabolic syndrome and metabolic syndrome components in young adults: A pooled analysis.

Authors:  Paul B Nolan; Graeme Carrick-Ranson; James W Stinear; Stacey A Reading; Lance C Dalleck
Journal:  Prev Med Rep       Date:  2017-07-19

3.  The IDF Definition Is Better Suited for Screening Metabolic Syndrome and Estimating Risks of Diabetes in Asian American Adults: Evidence from NHANES 2011-2016.

Authors:  Lin Zhu; Cody Spence; Jenny Wei Yang; Grace X Ma
Journal:  J Clin Med       Date:  2020-11-28       Impact factor: 4.241

4.  Correlation between parity and metabolic syndrome in Chinese women aged 40 years and older: the Reaction study.

Authors:  Qian Xie; Haoran Xu; Qin Wan
Journal:  BMC Endocr Disord       Date:  2021-11-24       Impact factor: 2.763

5.  Prevalence of metabolic syndrome in Brazilian adults in the last 10 years: a systematic review and meta-analysis.

Authors:  Letícia Teixeira de Siqueira Valadares; Luiza Siqueira Barreto de Souza; Valdir Alves Salgado Júnior; Larissa de Freitas Bonomo; Leandro Roberto de Macedo; Maísa Silva
Journal:  BMC Public Health       Date:  2022-02-16       Impact factor: 3.295

6.  Cardiac events occurred commonly among apparently healthy Filipinos with the Brugada ECG pattern in the LIFECARE cohort.

Authors:  Giselle G Gervacio; Jaime Alfonso Manalo Aherrera; Rody G Sy; Lauro L Abrahan Iv; Michael Joseph Agbayani; Felix Eduardo Punzalan; Elmer Jasper B Llanes; Paul Ferdinand M Reganit; Olivia T Sison; E Shyong Tai; Felicidad V Velandria; Allan Gumatay; Nina T Castillo-Carandang
Journal:  Heart Asia       Date:  2018-05-17

Review 7.  Clinical characteristics of metabolic syndrome in Korea, and its comparison with other Asian countries.

Authors:  A Ram Hong; Soo Lim
Journal:  J Diabetes Investig       Date:  2015-01-07       Impact factor: 4.232

Review 8.  Prevalence of metabolic syndrome in Mainland China: a meta-analysis of published studies.

Authors:  Ri Li; Wenchen Li; Zhijun Lun; Huiping Zhang; Zhi Sun; Joseph Sam Kanu; Shuang Qiu; Yi Cheng; Yawen Liu
Journal:  BMC Public Health       Date:  2016-04-01       Impact factor: 3.295

9.  Recording of cardiovascular risk factors by general practitioners in patients with schizophrenia.

Authors:  Mª Carmen Castillejos; Carlos Martín-Pérez; Antonio García-Ruiz; Fermín Mayoral-Cleries; Berta Moreno-Küstner
Journal:  Ann Gen Psychiatry       Date:  2020-05-19       Impact factor: 3.455

10.  Cohort Profile: LIFE course study in CARdiovascular disease Epidemiology (LIFECARE).

Authors:  Mahham Shafiq; Alan Yean Yip Fong; E Shyong Tai; Ei Ei Khaing Nang; Hwee Lin Wee; John Adam; Mark Woodward; Piyamitr Sritara; Richie Poulton; Rody Sy; Kavita Venkataraman
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

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