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A comparison of the prevalence of IDF- and ATPIII- defined metabolic syndrome in adults aged 50 and over in Ireland: findings from TILDA

Published online by Cambridge University Press:  24 November 2016

D.M. O'Connor
Affiliation:
The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
S. Leahy
Affiliation:
The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
C.A. McGarrigle
Affiliation:
The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
R.A. Kenny
Affiliation:
The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2016 

Metabolic syndrome (MetS) is described as the clustering of modifiable cardiovascular risk factors including hyperglycaemia, dyslipidaemia, central obesity and hypertension and is a recognised risk factor for type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD)(Reference Sookoian and Pirola1). Those who meet the criteria for MetS have a potential 1·6-fold increase in risk of early mortality(Reference Harris2). In addition, individuals with MetS are more susceptible to many other adverse health conditions, including fatty liver, cholesterol gallstones, asthma, sleep disturbances, and some cancers(Reference Grundy, Brewer and Cleeman3).

This study aimed to determine the national prevalence of MetS in older adults using data from the first wave of The Irish Longitudinal Study on Ageing (TILDA), a nationally representative cohort of community-dwelling adults aged 50 and over. All TILDA participants completed a computer-assisted personal interview (CAPI) and were invited to participate in a comprehensive health assessment. Two sets of criteria were used to calculate prevalence; the Adult Treatment Panel III (ATPIII)(4) and the International Diabetes Foundation (IDF)(5) criteria. Each component of MetS was measured using objective data from the health assessment, i.e. triglycerides, high-density lipoprotein (HDL) cholesterol, blood pressure, waist circumference and glycated haemoglobin (HbA1c), in addition to reported medication usage. Data for each of the five parameters for both the ATPIII and IDF definitions were available for 5026 participants. The prevalence of MetS in the total population and by subgroups of age, sex and educational attainment were generated using the statistical software Stata/MP 12·1.

The mean (SD) age of the sample was 62 (8·5) years; 54·2 % were female. The table shows the prevalence of MetS with 95 % confidence intervals (95 % CI) for the older Irish population and subgroups. The ATPIII-defined prevalence of MetS in the population was 41·6 %, while the IDF criteria identified 47·3 % as having MetS. For both methods, MetS was more prevalent in men than women and increased with age, with 55·3 % [50·3–60·3] and 61·3 % [56·6–66·1] of those aged ⩾75 years having MetS according to ATPIII and IDF, respectively. The prevalence of MetS decreases with increasing levels of education attainment.

Table. Prevalence of metabolic syndrome in older Irish adults*

ATPIII, Adult Treatment Panel III criteria; IDF, International Diabetes Foundation criteria; MetS, metabolic syndrome; 95 % CI, 95 % confidence interval; *prevalence weighted for population (⩾50 years) using svy command in STATA

This is the first time that MetS has been estimated at a population level in Ireland. Irrespective of the detection method employed, prevalence of MetS is high amongst the over 50s in Ireland. These results confirm that MetS is a widespread condition and is more prevalent in men, the elderly and those with lower educational attainment. Poor diet and inadequate exercise exascerbate each separate component of MetS criteria, and as a known predictor of T2DM and CVD, MetS further compounds the existing burden on the healthcare system in Ireland. These findings reinforce the public health importance of developing and implementing national screening for MetS and intervention programmes for reducing future ill-health in the older Irish population.

References

1.Sookoian, SPirola, Cj (2011) Curr Hypertens Rep 13, 149–57.Google Scholar
2.Harris, MF (2013) Aust Fam Physician 42, 524–7.Google Scholar
3.Grundy, SM, Brewer, HB Jr., Cleeman, JI, et al. (2004) Circulation 109, 433–8.10.1161/01.CIR.0000111245.75752.C6Google Scholar
4.Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (2001) JAMA 285, 2486–97.Google Scholar
5.International Diabetes Federation (IDF). The IDF consensus worldwide definition of the metabolic syndrome. Available at: http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf. Accessed April 1, 2016.Google Scholar
Figure 0

Table. Prevalence of metabolic syndrome in older Irish adults*