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Quality of Life Research

Gepubliceerd in:

01-10-2008

Metabolic syndrome is associated with impaired health-related quality of life: Lapinlahti 2005 study

Auteurs: Juhani Miettola, Leo K. Niskanen, Heimo Viinamäki, Harri Sintonen, Esko Kumpusalo

Gepubliceerd in: Quality of Life Research | Uitgave 8/2008

Abstract

Purpose

Association of Metabolic Syndrome (MetS) with Health-Related Quality of Life (HRQoL) is poorly documented. Our objective was to examine this association in an adult general population.

Methods

In our cross-sectional community-based health survey in a semirural Finnish community, we invited all the adults (n = 760) of eight birth cohorts between 30 and 65 years, of which 480 (63%) participated. A 15-dimensional, standardized HRQoL instrument (15D) was used to measure the main outcome, and the National Cholesterol Education Programme (NCEP) 2005 criteria were used for MetS classification.

Results

The prevalence of MetS was 38%. MetS was significantly associated with impaired HRQoL (P < 0.001) measured by the 15D score. Participants with MetS were statistically significantly worse off than participants without MetS in the dimensions of mobility (P < 0.001), hearing (P = 0.021), breathing (P < 0.001), usual activities (P = 0.001), discomfort and symptoms (P = 0.002), vitality (P = 0.003), and sexual activity (P = 0.008). In a logistic regression analysis, a significant association persisted between MetS and impaired HRQoL (OR = 1.9).

Conclusions

MetS seems to be associated closely with perceived HRQoL at community level. Therefore, reduction of risk factors of MetS may improve HRQoL.

vorige artikel Health related quality of life in 10-year-old schoolchildren

volgende artikel The impact of obesity on diabetes, hyperlipidemia and hypertension in the United States

Reaven, G. M. (1988). Banting lecture 1988: Role of insulin resistance in human disease. Diabetes, 37, 1595–1607. doi:10.2337/diabetes.37.12.1595.PubMedCrossRef

Eckel, R. H., Grundy, S. M., & Zimmet, P. Z. (2005). The Metabolic Syndrome. Lancet, 365, 1415–1428. doi:10.1016/S0140-6736(05)66378-7.PubMedCrossRef

Laaksonen, D. E., Lakka, H. M., Niskanen, L. K., Kaplan, G. A., Salonen, J. T., & Lakka, T. A. (2002). Metabolic syndrome and development of diabetes mellitus: Application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study. American Journal of Epidemiology, 156, 1070–1077. doi:10.1093/aje/kwf145.PubMedCrossRef

Facchini, F. S., Hua, N., Abbasi, F., & Reaven, G. M. (2001). Insulin resistance as a predictor of age-related diseases. The Journal of Clinical Endocrinology and Metabolism, 86, 3574–3578. doi:10.1210/jc.86.8.3574.PubMedCrossRef

Lakka, H.-M., Laaksonen, D. E., Lakka, T. A., Niskanen, L. K., Kumpusalo, E., Tuomilehto, J., et al. (2002). The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. Journal of the American Medical Association, 288, 2709–2716. doi:10.1001/jama.288.21.2709.PubMedCrossRef

Gardner, A. W., Montgomery, P. S., & Parker, D. E. (2006). Metabolic syndrome impairs physical function, health-related quality of life, and peripheral circulation in patients with intermittent claudication. Journal of Vascular Surgery, 43, 1191–1196. doi:10.1016/j.jvs.2006.02.042.PubMedCrossRef

Esposito, K., & Giugliano, D. (2005). Obesity, the metabolic syndrome, and sexual dysfunction. International Journal of Impotence Research, 17, 391–398. doi:10.1038/sj.ijir.3901333.PubMedCrossRef

Daviglus, M. L., Liu, K., Pirzada, A., Yan, L. L., Garside, D. B., Feinglass, J., et al. (2003). Favorable cardiovascular risk profile in middle age and health-related quality of life in older age. Archives of Internal Medicine, 163, 2460–2468. doi:10.1001/archinte.163.20.2460.PubMedCrossRef

Larsson, U., Karlsson, J., & Sullivan, M. (2002). Impact of overweight and obesity on health-related quality of life—a Swedish population study. International Journal of Obesity and Related Metabolic Disorders, 26, 417–424. doi:10.1038/sj.ijo.0801919.PubMedCrossRef

10.

Baiardi, F., Puglia, M. G., Valpiani, G., Sturani, A., Baraccani, C., Gentile, M., et al. (2005). Relationship between body weight, quality of life and cardiovascular risk factors: A general population based Italian experience. Eating and Weight Disorders, 10, 19–24.PubMed

11.

Jia, H., & Lubetkin, E. I. (2005). The impact of obesity on health-related quality-of-life in the general adult US population. Journal of Public Health, 27, 156–164. doi:10.1093/pubmed/fdi025.PubMedCrossRef

12.

Huang, I.-C., Frangakis, C., & Wu, A. W. (2006). The relationship of excess body weight and health-related quality of life: Evidence from a population study in Taiwan. International Journal of Obesity, 30, 1250–1259. doi:10.1038/sj.ijo.0803250.PubMedCrossRef

13.

Ford, E. S., Moriarty, D. G., Zack, M. M., Mokdad, A. H., & Chapman, D. P. (2001). Self-reported body mass index and health-related quality of life: Findings from the behavioural risk factor surveillance system. Obesity Research, 9, 21–31. doi:10.1038/oby.2001.4.PubMedCrossRef

14.

Mena-Martin, F. J., Martin-Escudero, J. C., Simal-Blanco, F., Carretero-Ares, J. L., Arzua-Mouronte, D., & Herreros-Fernandez, V. (2003). Health-related quality of life of subjects with known and unknown hypertension: Results from the population-based Hortega study. Journal of Hypertension, 21, 1283–1289. doi:10.1097/00004872-200307000-00015.PubMedCrossRef

15.

Bardage, C., & Isacson, D. G. (2001). Hypertension and health-related quality of life: An epidemiological study in Sweden. Journal of Clinical Epidemiology, 54, 172–181. doi:10.1016/S0895-4356(00)00293-6.PubMedCrossRef

16.

Lalonde, L., Clarke, A. E., Joseph, L., Mackenzie, T., & Grover, S. A. (2001). Canadian Collaborative Cardiac Assessment Group. Health-related quality of life with coronary heart disease prevention and treatment. Journal of Clinical Epidemiology, 54, 1011–1018. doi:10.1016/S0895-4356(01)00361-4.PubMedCrossRef

17.

Svartvik, L., Lidfeldt, J., Nerbrand, C., Samsioe, G., Schersten, B., & Nilsson, P. M. (2000). Dyslipidaemia and impaired well-being in middle-aged women reporting low sense of coherence. The Women’s Health in the Lund Area (WHLA). Scandinavian Journal of Primary Health Care, 18, 177–182. doi:10.1080/028134300453395.PubMedCrossRef

18.

Cox, D., Gonder-Frederick, L., McCall, A., Kovatchev, B., & Clarke, W. (2002). The effects of glucose fluctuation on cognitive function and QOL: The functional costs of hypoglycaemia and hyperglycaemia among adults with type 1 or type 2 diabetes. International Journal of Clinical Practice. Supplement, 129, 20–26.PubMed

19.

Schlotz, W., Ambery, P., Syddall, H. E., Crozier, S. R., Sayer, A. A., Cooper, C., et al. (2007). Specific associations of insulin resistance with impaired health-related quality of life in the Hertfordshire Cohort Study. Quality of Life Research, 16, 429–436. doi:10.1007/s11136-006-9129-5.PubMedCrossRef

20.

Sintonen, H. (2001). The 15D instrument of health-related quality of life: Properties and applications. Annals of Medicine, 33, 328–336. doi:10.3109/07853890109002086.PubMedCrossRef

21.

Sintonen, H. (1994). Outcome measurement in acid-related diseases. PharmacoEconomics, 5, 17–26.CrossRef

22.

Aromaa, A., & Koskinen, S. (2004). Health and functional capacity in Finland. Baseline results of the Health 2000 health examination survey (p. 171). Publications of National Public Health Institute, Series B 12/2004.

23.

Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., et al. (2005). National Heart, Lung and Blood Institute. Diagnosis and management of the metabolic syndrome. Circulation, 112(17), 2735–2752. doi:10.1161/CIRCULATIONAHA.105.169404.PubMedCrossRef

24.

Ford, E. S. (2005). Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the U.S. Diabetes Care, 28, 2745–2749. doi:10.2337/diacare.28.11.2745.PubMedCrossRef

25.

Ilanne-Parikka, P., Eriksson, J. G., Lindstrom, J., Hamalainen, H., Keinanen-Kiukaanniemi, S., Laakso, M., et al. (2004). Prevalence of the metabolic syndrome and its components: Findings from a Finnish general population sample and the Diabetes Prevention Study cohort. Diabetes Care, 27, 2135–2140. doi:10.2337/diacare.27.9.2135.PubMedCrossRef

26.

Blazer, D. G., Hybels, C. F., & Fillenbaum, G. G. (2006). Metabolic syndrome predicts mobility decline in a community-based sample of older adults. Journal of the American Geriatrics Society, 54, 502–506. doi:10.1111/j.1532-5415.2005.00607.x.PubMedCrossRef

27.

Lakka, T. A., Laaksonen, D. E., Lakka, H. M., Mannikko, N., Niskanen, L. K., Rauramaa, R., et al. (2003). Sedentary lifestyle, poor cardiorespiratory fitness, and the metabolic syndrome. Medicine and Science in Sports and Exercise, 35, 1279–1286. doi:10.1249/01.MSS.0000079076.74931.9A.PubMedCrossRef

28.

Spencer, J. T., Jr. (2007). Metabolic-syndromic sensorineural hearing loss and increased noise vulnerability. Ear, Nose, and Throat Journal, 86, 314.PubMed

29.

Loevinger, B. L., Muller, D., Alonso, C., & Coe, C. L. (2007). Metabolic syndrome in women with chronic pain. Metabolism: Clinical and Experimental, 56, 87–93. doi:10.1016/j.metabol.2006.09.001.

30.

Elenkov, I. J., Iezzoni, D. G., Daly, A., Harris, A. G., & Chrousos, G. P. (2005). Cytokine dysregulation, inflammation and well-being. Neuroimmunomodulation, 12, 255–269. doi:10.1159/000087104.PubMedCrossRef

31.

Vgontzas, A. N., Bixler, E. O., & Chrousos, G. P. (2006). Obesity-related sleepiness and fatigue: The role of the stress system and cytokines. Annals of the New York Academy of Sciences, 1083, 329–344. doi:10.1196/annals.1367.023.PubMedCrossRef

32.

Esposito, K., Ciotola, M., Marfella, R., Di Tommaso, D., Cobellis, L., & Giugliano, D. (2005). Sexual dysfunctions in women with the metabolic syndrome. Diabetes Care, 28, 756. doi:10.2337/diacare.28.3.756.PubMedCrossRef

33.

Esposito, K., Giugliano, F., Di Palo, C., Giugliano, G., Marfella, R., D’Andrea, F., et al. (2004). Effect of life style changes on erectile dysfunction in obese men: A randomized controlled trial. Journal of the American Medical Association, 291, 2978–2984. doi:10.1001/jama.291.24.2978.PubMedCrossRef

34.

Niskanen, L., Laaksonen, D. E., Punnonen, K., Mustajoki, P., Kaukua, J., & Rissanen, A. (2004). Changes in sex hormone-binding globulin and testosterone during weight loss and weight maintenance in abdominally obese men with the metabolic syndrome. Diabetes, Obesity & Metabolism, 6, 208–215. doi:10.1111/j.1462-8902.2004.00335.x.CrossRef

35.

Korhonen, S., Hippelainen, M., Vanhala, M., Heinonen, S., & Niskanen, L. (2003). The androgenic sex hormone profile is an essential feature of metabolic syndrome in premenopausal women: A controlled community-based study. Fertility and Sterility, 79, 1327–1334. doi:10.1016/S0015-0282(03)00347-9.PubMedCrossRef

Titel: Metabolic syndrome is associated with impaired health-related quality of life: Lapinlahti 2005 study
Auteurs: Juhani Miettola
Leo K. Niskanen
Heimo Viinamäki
Harri Sintonen
Esko Kumpusalo
Publicatiedatum: 01-10-2008
Uitgeverij: Springer Netherlands
Gepubliceerd in: Quality of Life Research / Uitgave 8/2008
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-008-9386-6

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Abstract

Purpose

Methods

Results

Conclusions

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