Metabolic syndrome (MS) in elderly: A cross sectional survey

Akbulut, Gamze; Köksal, Eda; Bilici, Saniye; Tek, Nilüfer Acar; Yıldıran, Hilal; Karadağ, Makbule Gezmen; Şanlıer, Nevin

doi:10.1016/j.archger.2010.11.021

Cited by 27 publications

(35 citation statements)

References 21 publications

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“…These results confirmed previous findings in Tunisian population [5][6][7]17 as well as in others population [18][19][20][21] . Sedentary lifestyle, the lack of participation in physical activities among adult Tunisian women, hormonal factors and postmenopausal weight gain may prove the large waist circumference in women 22,23 .…”

Section: Discussionsupporting

confidence: 82%

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2016

IJPSR

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Metabolic syndrome (MS) is a multi-factorial disorder with insulin resistance as a major characteristic. Adiponectin, an adipocyte derived cytokine, can regulate glucose levels and lipid homeostasis by its insulin sensitizer properties. Low circulating levels of serum adiponectin has been reported as a risk factor for the development of MS. The aim of this case control study was to investigate the association of serum adiponectin concentration, insulin resistance and various risk factors with MS among Tunisian participants. We designed a case-control study involving 100 patients with MS (84 females and 16 males, mean age 54±11 years) and 100 healthy controls (60 females and 40 males, mean age 51±10 years). Serum total cholesterol and triglyceride were determined by enzymatic methods. Insulin resistance was calculated using the homeostasis model assessment (HOMA-IR) = fasting insulin (uU/ml) x fasting plasma glucose (mmol/l)/22.5 and serum adiponectin levels were measured by enzyme-linked immunosorbent assay. Interestingly, 72% of the subjects with MS had high blood pressure. Compared with controls, patients had significantly higher levels of triglycerides (1.64±0.88 mmol /l; 1.07±0.43 mmol/l; p=0.03) and lower levels of high-density lipoprotein cholesterol (1.26±0.41 mmol/l; 1.58±0.30 mmol/l; p=0.04). In addition, there was a significant difference in serum adiponectin levels between the subjects with MS and controls (13.96±5.23 µg/ml; 22.24±9.07 µg/ml; p=0.006) and the mean levels of HOMA-IR were 5.23±3.52 and 1.83±0.93 for patients and controls, respectively. In conclusion, hypoadiponectinemia and insulin resistance represent risk factors for MS development.

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Section: Discussionsupporting

confidence: 82%

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2016

IJPSR

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“…Currently this combination of MS is a major challenge for global health; because people involved in cardio-metabolic risk are also at the risk of developing cardiovascular disease and diabetes [5,6] which is considered as one of the major worldwide health problems [7]. In both Western and Asian populations, cardiovascular morbidity and mortality is 2-5 times higher in those who are suffering from this syndrome than those who are not affected by MS [8].…”

Section: Introductionmentioning

confidence: 98%

Metabolic syndrome and its risk factors among middle aged population of Iran, a population based study

Ebrahimi

Emamian

Shariati

et al. 2016

Diabetes & Metabolic Syndrome: Clinical Research & Revi

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“…However, there is no consensus on the best indicator able to identify MetS in the elderly due to different functional characteristics and varied cut-off points, many of which are specific to young adults, and with different criteria for defining MetS. 1,2 Nevertheless, early identification of MetS is important in this age group since it may assist health teams to decide on strategies aimed at reducing global cardiovascular risk. 1 This review aimed to critically analyse studies that evaluated the capability of anthropometric and clinical indicators to predict MetS in the elderly.…”

Section: Introductionmentioning

confidence: 99%

“…1,2 Nevertheless, early identification of MetS is important in this age group since it may assist health teams to decide on strategies aimed at reducing global cardiovascular risk. 1 This review aimed to critically analyse studies that evaluated the capability of anthropometric and clinical indicators to predict MetS in the elderly. using the following word combinations: ("metabolic syndrome" or "syndrome X" or "plurimetabolic syndrome") and ("elderly" or "older adults" or "aged") and ("predict" or "identify" or "ability").…”

Section: Introductionmentioning

confidence: 99%

“…1,2 The most up-to-date criteria to define MetS were prepared by the International Diabetes Federation (IDF) task force. 2 In their guidelines, it has been established that abdominal obesity is no longer a compulsory component, and specific cut-off points should be used to classify waist circumference (WC) by ethnic groups, in addition to criteria for changes in glucose and lipid metabolism and high blood pressure.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of Metabolic Syndrome in the Elderly: A Review

Oliveira

Costa²,

Roriz³

et al. 2017

International Journal of Cardiovascular Sciences

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The article aimed to critically analyse studies which evaluated the capacity of anthropometric and clinical indicators to predict MetS in the elderly. Bibliographical research was performed using the electronic databasese Medline/PubMed, LILACS e SciELO , references from selected articles and contact with several authors. Twenty one articles involving anthropometric and clinical indicators in the elderly were analysed, using different MS criteria. Fourteen studies report anthropometric indicators, being the waist circumference (WC) and waist-to-height ratio (WHtR), described as the best MS predictors, with the area under the ROC curve (AUC) over 0.70 (p < 0.05). The neck circumference was also described as an alternative indicator but with less discriminatory power. Lipid accumulation product (LAP) was the parameter with the best performance to identify MS, with an AUC over 0.85 and efficiency greater than 70%. The WC, WHtR and LAP indicators were the most sensitive for predicting MS. The use of these parameters may facilitate the early identification of MS, with good accuracy and low cost. In addition, it is important to determine specific cutoff points for the elderly, since obesity alone does not appear to be a strong predictor of MS in the elderly.

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Metabolic syndrome (MS) in elderly: A cross sectional survey

Cited by 27 publications

References 21 publications

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Metabolic syndrome and its risk factors among middle aged population of Iran, a population based study

Predictors of Metabolic Syndrome in the Elderly: A Review

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