Metabolic Syndrome and Quality of Life in the Elderly: Age and Gender Differences

Overview

Journal Eur J Nutr

Specialty Nutritional Sciences

Date 2012 Mar 13

PMID 22406906

Citations 14

Authors

Alice Laudisio

Emanuele Marzetti

Livia Antonica

Francesco Pagano

Davide L Vetrano

Roberto Bernabei

Giuseppe Zuccala

Affiliations

Soon will be listed here.

Abstract

Purpose: The metabolic syndrome (MetS) is highly prevalent in Western older populations. MetS is an intriguing entity, because it includes potentially reversible risk factors. Some studies have suggested an inverse correlation between MetS and health-related quality of life (HRQoL), but data regarding older subjects are scanty and conflicting. The aim of this study was to assess the association between HRQoL and MetS in older, unselected community-dwelling subjects.

Methods: We analyzed data of 356 subjects aged 75+ living in Tuscania (Italy). HRQoL was assessed using the Health Utilities Index, Mark 3. Diagnosis of MetS was defined according to the National Cholesterol Education Program's ATP-III criteria.

Results: MetS was reported by 137 (38%) participants. According to linear regression analysis, MetS was associated with significantly better HRQoL in men (B = 0.19 95% CI = 0.06-0.32; p = 0.006), but not in women. Also, when the regression model was analyzed in men, MetS was associated with better HRQoL (B = 0.17, 95% CI = 0.01-0.32; p = 0.035) only among participants aged 80+. No significant associations were found in men between HRQoL and any of the single components of MetS.

Conclusions: MetS is not associated with worse HRQoL among community-dwelling elderly; it is associated with significantly better HRQoL among the oldest men.

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References

Laudisio A, Marzetti E, Pagano F, Pozzi G, Bernabei R, Zuccala G . Depressive symptoms and metabolic syndrome: selective association in older women. J Geriatr Psychiatry Neurol. 2009; 22(4):215-22. DOI: 10.1177/0891988709335793. View

Ferraroni M, Decarli A, Franceschi S, La Vecchia C, Enard L, Negri E . Validity and reproducibility of alcohol consumption in Italy. Int J Epidemiol. 1996; 25(4):775-82. DOI: 10.1093/ije/25.4.775. View

Smith K, Hsu H, Roberts M, Kramer M, Orchard T, Piatt G . Cost-effectiveness analysis of efforts to reduce risk of type 2 diabetes and cardiovascular disease in southwestern Pennsylvania, 2005-2007. Prev Chronic Dis. 2010; 7(5):A109. PMC: 2938403. View

Cameron A, Shaw J, Zimmet P . The metabolic syndrome: prevalence in worldwide populations. Endocrinol Metab Clin North Am. 2004; 33(2):351-75, table of contents. DOI: 10.1016/j.ecl.2004.03.005. View

Katz S, Ford A, Moskowitz R, Jackson B, JAFFE M . STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION. JAMA. 1963; 185:914-9. DOI: 10.1001/jama.1963.03060120024016. View

Lawton M, Brody E . Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969; 9(3):179-86. View

Tziallas D, Kastanioti C, Kostapanos M, Skapinakis P, Elisaf M, Mavreas V . The impact of the metabolic syndrome on health-related quality of life: a cross-sectional study in Greece. Eur J Cardiovasc Nurs. 2011; 11(3):297-303. DOI: 10.1016/j.ejcnurse.2011.02.004. View

Zuccala G, Onder G, Pedone C, Cesari M, Landi F, Bernabei R . Dose-related impact of alcohol consumption on cognitive function in advanced age: results of a multicenter survey. Alcohol Clin Exp Res. 2002; 25(12):1743-8. View

Amiri P, Hosseinpanah F, Rambod M, Montazeri A, Azizi F . Metabolic syndrome predicts poor health-related quality of life in women but not in men: Tehran Lipid and Glucose Study. J Womens Health (Larchmt). 2010; 19(6):1201-7. DOI: 10.1089/jwh.2009.1710. View

10.

Lai M, Li C, Kardia S, Liu C, Lin W, Lee Y . Sex difference in the association of metabolic syndrome with high sensitivity C-reactive protein in a Taiwanese population. BMC Public Health. 2010; 10:429. PMC: 2920887. DOI: 10.1186/1471-2458-10-429. View

11.

Ford E, Li C . Metabolic syndrome and health-related quality of life among U.S. adults. Ann Epidemiol. 2008; 18(3):165-71. DOI: 10.1016/j.annepidem.2007.10.009. View

12.

Eckel R, Grundy S, Zimmet P . The metabolic syndrome. Lancet. 2005; 365(9468):1415-28. DOI: 10.1016/S0140-6736(05)66378-7. View

13.

Rocca W, Bonaiuto S, Lippi A, Luciani P, Pistarelli T, Grandinetti A . Validation of the Hodkinson abbreviated mental test as a screening instrument for dementia in an Italian population. Neuroepidemiology. 1992; 11(4-6):288-95. DOI: 10.1159/000110943. View

14.

Feeny D, Furlong W, Torrance G, Goldsmith C, Zhu Z, DePauw S . Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Med Care. 2002; 40(2):113-28. DOI: 10.1097/00005650-200202000-00006. View

15.

Deyo R, Cherkin D, Ciol M . Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992; 45(6):613-9. DOI: 10.1016/0895-4356(92)90133-8. View

16.

Gutierrez D, Puglisi M, Hasty A . Impact of increased adipose tissue mass on inflammation, insulin resistance, and dyslipidemia. Curr Diab Rep. 2009; 9(1):26-32. PMC: 2735041. DOI: 10.1007/s11892-009-0006-9. View

17.

Kalantar-Zadeh K, Block G, Horwich T, Fonarow G . Reverse epidemiology of conventional cardiovascular risk factors in patients with chronic heart failure. J Am Coll Cardiol. 2004; 43(8):1439-44. DOI: 10.1016/j.jacc.2003.11.039. View

18.

Neil Thomas G, Schooling C, McGhee S, Ho S, Cheung B, Wat N . Metabolic syndrome increases all-cause and vascular mortality: the Hong Kong Cardiovascular Risk Factor Study. Clin Endocrinol (Oxf). 2007; 66(5):666-71. DOI: 10.1111/j.1365-2265.2007.02798.x. View

19.

Katano S, Nakamura Y, Nakamura A, Suzukamo Y, Murakami Y, Tanaka T . Relationship between health-related quality of life and clustering of metabolic syndrome diagnostic components. Qual Life Res. 2011; 21(7):1165-70. DOI: 10.1007/s11136-011-0029-y. View

20.

Qiao Q, Gao W, Zhang L, Nyamdorj R, Tuomilehto J . Metabolic syndrome and cardiovascular disease. Ann Clin Biochem. 2007; 44(Pt 3):232-63. DOI: 10.1258/000456307780480963. View