Skip to main content

Advertisement

Log in

The association of the comorbidity status of metabolic syndrome and cognitive dysfunction with health-related quality of life

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

Both metabolic syndrome (MetS) and cognitive dysfunction impair health-related quality of life (HRQOL). This study aims to determine whether individuals experiencing both MetS and cognitive dysfunction have lower HRQOL.

Methods

This cross-sectional study enrolled 567 participants who attended outpatient clinics at a medical center in northern Taiwan. MetS was diagnosed according to the modified criteria for the Asian population. Cognitive function was categorized as normal, mild cognitive dysfunction, and advanced cognitive dysfunction according to the score of the Montreal Cognitive Assessment, Taiwanese version. HRQOL was assessed using the SF-36v2® Health Survey (SF-36v2). The associations of the comorbidity status of MetS and cognitive dysfunction with HRQOL were analyzed using linear regression models, adjusting for age, sex, marital status, education level, income groups, and activities of daily living.

Results

Out of 567 participants, 33 (5.8%) had MetS with mild cognitive dysfunction, and 34 (6.0%) had MetS with advanced cognitive dysfunction. Participants with both MetS and advanced cognitive dysfunction exhibited the lowest scores in the physical component summary and almost all scales of HRQOL. MetS exacerbated the inverse association between mild cognitive dysfunction and the mental component summary. For those with MetS, the scores on scales of role physical, bodily pain, vitality, and social functioning worsened as cognitive function deteriorated (all Ptrend<0.05).

Conclusion

As the severity of comorbidity between MetS and cognitive dysfunction varies, patients exhibited poorer performance in different aspects of HRQOL. Future research is needed to find solutions to improve HRQOL for patients with both MetS and cognitive dysfunction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The raw data is available on the Open Science Framework (OSF): https://osf.io/fhbe5/?view_only=b1b3a182642d44aea54bfe9ca677f83b.

References

  1. Malik, S., Wong, N., Franklin, S., Kamath, T., L’Italien, G., Pio, J., & Williams, G. (2004). Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease and all cause in United States adults. Circulation, 110(10), 1245–1250. https://doi.org/10.1161/01.CIR.0000140677.20606.0E

    Article  PubMed  Google Scholar 

  2. Chen, J. (2004). The metabolic syndrome and chronic kidney disease in U.S. adults. Annals of Internal Medicine, 140(3), 167–174. https://doi.org/10.7326/0003-4819-140-3-200402030-00007

    Article  PubMed  Google Scholar 

  3. Shin, J. A., Lee, J. H., Lim, S. Y., Ha, H. S., Kwon, H. S., Park, Y. M., Lee, W. C., Kang, M. I., Yim, H. W., Yoon, K. H., & Son, H. Y. (2013). Metabolic syndrome as a predictor of type 2 diabetes, and its clinical interpretations and usefulness. Journal of Diabetes Investigation, 4(4), 334–343. https://doi.org/10.1111/jdi.12075

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Chew, N. W. S., Ng, C. H., Tan, D. J. H., Kong, G., Lin, C., Chin, Y. H., Lim, W. H., Huang, D. Q., Quek, J., Fu, C. E., Xiao, J., Syn, N., Foo, R., Khoo, C. M., Wang, J. W., Dimitriadis, G. K., Young, D. Y., Siddiqui, M. S., Lam, C. S. P., et al. (2023). The global burden of metabolic disease: Data from 2000 to 2019. Cell Metabolism, 35(3), 414–428. https://doi.org/10.1016/j.cmet.2023.02.003

    Article  CAS  PubMed  Google Scholar 

  5. Ng, T. P., Feng, L., Nyunt, M. S. Z., Feng, L., Gao, Q., Lim, M. L., Collinson, S. L., Chong, M. S., Lim, W. S., Lee, T. S., Yap, P., & Yap, K. B. (2016). Metabolic syndrome and the risk of mild cognitive impairment and progression to dementia: Follow-up of the Singapore Longitudinal Ageing Study Cohort. JAMA Neurology, 73(4), 456–463. https://doi.org/10.1001/jamaneurol.2015.4899

    Article  PubMed  Google Scholar 

  6. Koutsonida, M., Markozannes, G., Bouras, E., Aretouli, E., & Tsilidis, K. K. (2022). Metabolic syndrome and cognition: A systematic review across cognitive domains and a bibliometric analysis. Frontiers in Psychology, 13, 981379. https://doi.org/10.3389/fpsyg.2022.981379

    Article  PubMed  PubMed Central  Google Scholar 

  7. Yaffe, K., Kanaya, A., Lindquist, K., Simonsick, E. M., Harris, T., Shorr, R. I., Tylavsky, F. A., & Newman, A. B. (2004). The metabolic syndrome, inflammation, and risk of cognitive decline. Journal of the American Medical Association, 292(18), 2237–2242. https://doi.org/10.1001/jama.292.18.2237

    Article  CAS  PubMed  Google Scholar 

  8. Yates, K. F., Sweat, V., Yau, P. L., Turchiano, M. M., & Convit, A. (2012). Impact of metabolic syndrome on cognition and brain: A selected review of the literature. Arteriosclerosis Thrombosis and Vascular Biology, 32(9), 2060–2067. https://doi.org/10.1161/atvbaha.112.252759

    Article  CAS  PubMed  Google Scholar 

  9. Capucho, A. M., Chegão, A., Martins, F. O., Miranda, V., H., & Conde, S. V. (2022). Dysmetabolism and neurodegeneration: Trick or treat? Nutrients, 14(7), 1425. https://doi.org/10.3390/nu14071425

  10. Srikanth, V., Sinclair, A. J., Hill-Briggs, F., Moran, C., & Biessels, G. J. (2020). Type 2 diabetes and cognitive dysfunction-towards effective management of both comorbidities. The Lancet Diabetes & Endocrinology, 8(6), 535–545. https://doi.org/10.1016/s2213-8587(20)30118-2

    Article  Google Scholar 

  11. Bae, S., Shimada, H., Lee, S., Makizako, H., Lee, S., Harada, K., Doi, T., Tsutsumimoto, K., Hotta, R., Nakakubo, S., Park, H., & Suzuki, T. (2017). The relationships between components of metabolic syndrome and mild cognitive impairment subtypes: A cross-sectional study of Japanese older adults. Journal of Alzheimer’s Disease, 60(3), 913–921. https://doi.org/10.3233/jad-161230

    Article  CAS  PubMed  Google Scholar 

  12. Gunstad, J., Sanborn, V., & Hawkins, M. (2020). Cognitive dysfunction is a risk factor for overeating and obesity. The American Psychologist, 75(2), 219–234. https://doi.org/10.1037/amp0000585

    Article  PubMed  Google Scholar 

  13. Carrión, R. E., Goldberg, T. E., McLaughlin, D., Auther, A. M., Correll, C. U., & Cornblatt, B. A. (2011). Impact of neurocognition on social and role functioning in individuals at clinical high risk for psychosis. The American Journal of Psychiatry, 168(8), 806–813. https://doi.org/10.1176/appi.ajp.2011.10081209

    Article  PubMed  PubMed Central  Google Scholar 

  14. Jefferson, A. L., Byerly, L. K., Vanderhill, S., Lambe, S., Wong, S., Ozonoff, A., & Karlawish, J. H. (2008). Characterization of activities of daily living in individuals with mild cognitive impairment. The American Journal of Geriatric Psychiatry, 16(5), 375–383. https://doi.org/10.1097/JGP.0b013e318162f197

    Article  PubMed  PubMed Central  Google Scholar 

  15. Jekel, K., Damian, M., Wattmo, C., Hausner, L., Bullock, R., Connelly, P. J., Dubois, B., Eriksdotter, M., Ewers, M., Graessel, E., Kramberger, M. G., Law, E., Mecocci, P., Molinuevo, J. L., Nygård, L., Olde-Rikkert, M. G., Orgogozo, J. M., Pasquier, F., Peres, K., et al. (2015). Mild cognitive impairment and deficits in instrumental activities of daily living: A systematic review. Alzheimer’s Research & Therapy, 7(1), 17. https://doi.org/10.1186/s13195-015-0099-0

    Article  Google Scholar 

  16. Pan, C. W., Wang, X., Ma, Q., Sun, H. P., Xu, Y., & Wang, P. (2015). Cognitive dysfunction and health-related quality of life among older Chinese. Scientific Reports, 5(1), 17301. https://doi.org/10.1038/srep17301

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Stites, S. D., Harkins, K., Rubright, J. D., & Karlawish, J. (2018). Relationships between cognitive complaints and quality of life in older adults with mild cognitive impairment, mild Alzheimer disease dementia, and normal cognition. Alzheimer Disease and Associated Disorders, 32(4), 276–283. https://doi.org/10.1097/wad.0000000000000262

    Article  PubMed  PubMed Central  Google Scholar 

  18. Saboya, P. P., Bodanese, L. C., Zimmermann, P. R., Gustavo, A. D., Assumpção, C. M., & Londero, F. (2016). Metabolic syndrome and quality of life: A systematic review. Revista Latino-americana de Enfermagem, 24, e2848. https://doi.org/10.1590/1518-8345.1573.2848

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lin, Y. H., Chang, H. T., Tseng, Y. H., Chen, H. S., Chiang, S. C., Chen, T. J., & Hwang, S. J. (2021). Changes in metabolic syndrome affect the health-related quality of life of community-dwelling adults. Scientific Reports, 11(1), 20267. https://doi.org/10.1038/s41598-021-99767-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Carriere, I., Pérès, K., Ancelin, M. L., Gourlet, V., Berr, C., Barberger-Gateau, P., Bouillon, K., Kivimaki, M., Ritchie, K., & Akbaraly, T. (2014). Metabolic syndrome and disability: Findings from the prospective three-city study. The Journals of Gerontology Series A Biological Sciences and Medical Sciences, 69(1), 79–86. https://doi.org/10.1093/gerona/glt101

    Article  CAS  PubMed  Google Scholar 

  21. Kim, H. B., Wolf, B. J., & Kim, J. H. (2023). Association of metabolic syndrome and its components with the risk of depressive symptoms: A systematic review and meta-analysis of cohort studies. Journal of Affective Disorders, 323, 46–54. https://doi.org/10.1016/j.jad.2022.11.049

    Article  PubMed  Google Scholar 

  22. Pellegrino, L. D., Peters, M. E., Lyketsos, C. G., & Marano, C. M. (2013). Depression in cognitive impairment. Current Psychiatry Reports, 15(9), 384. https://doi.org/10.1007/s11920-013-0384-1

    Article  PubMed  PubMed Central  Google Scholar 

  23. Mahoney, F. I., & Barthel, D. W. (1965). Functional evaluation: The Barthel Index. Maryland State Medical Journal, 14, 61–65.

    CAS  PubMed  Google Scholar 

  24. Lawton, M. P., & Brody, E. M. (1969). Assessment of older people: Self-maintaining and instrumental activities of daily living. The Gerontologist, 9(3), 179–186. https://doi.org/10.1093/geront/9.3_Part_1.179

    Article  CAS  PubMed  Google Scholar 

  25. Chang, H. T. (2009, April). National digital library of theses and dissertations in Taiwan. Determinants in older veterans’ quality of life: The case of four veterens’ homes in southern Taiwan. Retrieved August 19, 2024, from https://hdl.handle.net/11296/v4frwj

  26. Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C. Jr., Spertus, J. A., & Costa, F. (2005). Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation, 112(17), 2735–2752. https://doi.org/10.1161/circulationaha.105.169404

    Article  PubMed  Google Scholar 

  27. Tsai, C. F., Lee, W. J., Wang, S. J., Shia, B. C., Nasreddine, Z., & Fuh, J. L. (2012). Psychometrics of the Montreal Cognitive Assessment (MoCA) and its subscales: Validation of the Taiwanese version of the MoCA and an item response theory analysis. International Psychogeriatrics, 24(4), 651–658. https://doi.org/10.1017/s1041610211002298

    Article  PubMed  Google Scholar 

  28. Pequeno, N. P. F., Cabral, N. L. A., Marchioni, D. M., Lima, S. C. V. C., & Lyra, C. O. (2020). Quality of life assessment instruments for adults: A systematic review of population-based studies. Health and Quality of Life Outcomes, 18(1), 208. https://doi.org/10.1186/s12955-020-01347-7

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lu, J. F. R., Tseng, H. M., & Tsai, Y. J. (2003). Assessment of health-related quality of life in Taiwan (I): Development and psychometric testing of SF-36 Taiwan Version. Taiwan Journal of Public Health, 22(6), 501–511.

    Google Scholar 

  30. Maruish, M. E. (2011). User’s manual for the SF-36v2 health survey third edition. QualityMetric.

  31. Qu, B., Guo, H. Q., Liu, J., Zhang, Y., & Sun, G. (2009). Reliability and validity testing of the SF-36 questionnaire for the evaluation of the quality of life of Chinese urban construction workers. The Journal of International Medical Research, 37(4), 1184–1190. https://doi.org/10.1177/147323000903700425

    Article  CAS  PubMed  Google Scholar 

  32. Patino, C. M., & Ferreira, J. C. (2016). Test for trend: Evaluating dose-response effects in association studies. Jornal Brasileiro De Pneumologia, 42(4), 240. https://doi.org/10.1590/s1806-37562016000000225

    Article  PubMed  PubMed Central  Google Scholar 

  33. Hwang, L. C., Bai, C. H., & Chen, C. J. (2006). Prevalence of obesity and metabolic syndrome in Taiwan. Journal of the Formosan Medical Association, 105(8), 626–635. https://doi.org/10.1016/s0929-6646(09)60161-3

    Article  PubMed  Google Scholar 

  34. Wu, M. S., Lan, T. H., Chen, C. M., Chiu, H. C., & Lan, T. Y. (2011). Socio-demographic and health-related factors associated with cognitive impairment in the elderly in Taiwan. BMC Public Health, 11(1), 22. https://doi.org/10.1186/1471-2458-11-22

    Article  PubMed  PubMed Central  Google Scholar 

  35. Kitamura, K., Watanabe, Y., Nakamura, K., Sanpei, K., Wakasugi, M., Yokoseki, A., Onodera, O., Ikeuchi, T., Kuwano, R., Momotsu, T., Narita, I., & Endo, N. (2016). Modifiable factors associated with cognitive impairment in 1,143 Japanese outpatients: The Project in Sado for Total Health (PROST). Dementia and Geriatric Cognitive Disorders Extra, 6(2), 341–349. https://doi.org/10.1159/000447963

    Article  PubMed  PubMed Central  Google Scholar 

  36. Jia, X., Wang, Z., Huang, F., Su, C., Du, W., Jiang, H., Wang, H., Wang, J., Wang, F., Su, W., Xiao, H., Wang, Y., & Zhang, B. (2021). A comparison of the Mini-mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: A cross-sectional study. Bmc Psychiatry, 21(1), 485. https://doi.org/10.1186/s12888-021-03495-6

    Article  PubMed  PubMed Central  Google Scholar 

  37. Shimokawa, A., Yatomi, N., Anamizu, S., Torii, S., Isono, H., Sugai, Y., & Kohno, M. (2001). Influence of deteriorating ability of emotional comprehension on interpersonal behavior in Alzheimer-type dementia. Brain and Cognition, 47(3), 423–433. https://doi.org/10.1006/brcg.2001.1318

    Article  CAS  PubMed  Google Scholar 

  38. Elferink, M. W., van Tilborg, I., & Kessels, R. P. (2015). Perception of emotions in mild cognitive impairment and Alzheimer’s dementia: Does intensity matter? Translational Neuroscience, 6(1), 139–149. https://doi.org/10.1515/tnsci-2015-0013

    Article  PubMed  PubMed Central  Google Scholar 

  39. Schiepers, O. J., Wichers, M. C., & Maes, M. (2005). Cytokines and major depression. Progress in Neuro-psychopharmacology & Biological Psychiatry, 29(2), 201–217. https://doi.org/10.1016/j.pnpbp.2004.11.003

    Article  CAS  Google Scholar 

  40. Taylor, W. D., Aizenstein, H. J., & Alexopoulos, G. S. (2013). The vascular depression hypothesis: Mechanisms linking vascular disease with depression. Molecular Psychiatry, 18(9), 963–974. https://doi.org/10.1038/mp.2013.20

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Pan, A., Keum, N., Okereke, O. I., Sun, Q., Kivimaki, M., Rubin, R. R., & Hu, F. B. (2012). Bidirectional association between depression and metabolic syndrome: A systematic review and meta-analysis of epidemiological studies. Diabetes Care, 35(5), 1171–1180. https://doi.org/10.2337/dc11-2055

    Article  PubMed  PubMed Central  Google Scholar 

  42. Burks, H. B., des Bordes, J. K. A., Chadha, R., Holmes, H. M., & Rianon, N. J. (2021). Quality of life assessment in older adults with dementia: A systematic review. Dementia and Geriatric Cognitive Disorders, 50(2), 103–110. https://doi.org/10.1159/000515317

    Article  PubMed  Google Scholar 

  43. Tziallas, D., Kastanioti, C., Kostapanos, M. S., Skapinakis, P., Elisaf, M. S., & Mavreas, V. (2012). The impact of the metabolic syndrome on health-related quality of life: A cross-sectional study in Greece. European Journal of Cardiovascular Nursing, 11(3), 297–303. https://doi.org/10.1016/j.ejcnurse.2011.02.004

    Article  PubMed  Google Scholar 

  44. Gray, M., Gills, J. L., Glenn, J. M., Vincenzo, J. L., Walter, C. S., Madero, E. N., Hall, A., Fuseya, N., & Bott, N. T. (2021). Cognitive decline negatively impacts physical function. Experimental Gerontology, 143, 111164. https://doi.org/10.1016/j.exger.2020.111164

    Article  PubMed  Google Scholar 

  45. Kotwal, A. A., Kim, J., Waite, L., & Dale, W. (2016). Social function and cognitive status: Results from a US nationally representative survey of older adults. Journal of General Internal Medicine, 31(8), 854–862. https://doi.org/10.1007/s11606-016-3696-0

    Article  PubMed  PubMed Central  Google Scholar 

  46. Huang, C. C., Lee, L. H., Lin, W. S., Hsiao, T. H., Chen, I. C., & Lin, C. H. (2022). The association between bodily pain and cognitive impairment in community-dwelling older adults. Journal of Personalized Medicine, 12(3), 350. https://doi.org/10.3390/jpm12030350

    Article  PubMed  PubMed Central  Google Scholar 

  47. Zhang, C., Ward, J., Dauch, J. R., Tanzi, R. E., & Cheng, H. T. (2018). Cytokine-mediated inflammation mediates painful neuropathy from metabolic syndrome. PloS One, 13(2), e0192333. https://doi.org/10.1371/journal.pone.0192333

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Coderre, T. J. (2023). Contribution of microvascular dysfunction to chronic pain. Frontiers in Pain Research, 4, 1111559. https://doi.org/10.3389/fpain.2023.1111559

    Article  PubMed  PubMed Central  Google Scholar 

  49. Stringhini, S., Dugravot, A., Shipley, M., Goldberg, M., Zins, M., Kivimäki, M., Marmot, M., Sabia, S., & Singh-Manoux, A. (2011). Health behaviours, socioeconomic status, and mortality: Further analyses of the British Whitehall II and the French GAZEL prospective cohorts. PLoS Medicine, 8(2), e1000419. https://doi.org/10.1371/journal.pmed.1000419

    Article  PubMed  PubMed Central  Google Scholar 

  50. Ma, X., & McGhee, S. M. (2013). A cross-sectional study on socioeconomic status and health-related quality of life among elderly Chinese. British Medical Journal Open, 3(2), e002418. https://doi.org/10.1136/bmjopen-2012-002418

    Article  Google Scholar 

Download references

Funding

This work was supported by grants from Taipei Veterans General Hospital. [Grant number: V109E-005-4, V110E-005-4, V111E-006-4, V112E-004-4]

Author information

Authors and Affiliations

Authors

Contributions

Yi-Hsuan Lin designed the study, conducted statistical analysis, interpreted the results, and wrote the paper. Hsiao-Ting Chang designed the study, organized the original data, coordinated the research, and editing. Yen-Feng Wang, Jong-Ling Fuh, and Shuu-Jiun Wang planned the research direction and assisted in collecting the original data. Harn-Shen Chen assisted in formulating the research question and study design. Sih-Rong Li assisted in the enrollment of participants and maintaining the original data. Ming-Hwai Lin, Tzeng-Ji Chen, and Shinn-Jang Hwang contributed to conceptualization, review, and editing.

Corresponding author

Correspondence to Hsiao-Ting Chang.

Ethics declarations

Ethical approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Research Ethics Committee of Taipei Veterans General Hospital, Taipei, Taiwan, on May 9, 2022 (Protocol Code: 2020-06-001 A).

Consent to participate

All participants in this study provided written informed consent before participating in the research.

Competing interests

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lin, YH., Chang, HT., Wang, YF. et al. The association of the comorbidity status of metabolic syndrome and cognitive dysfunction with health-related quality of life. Qual Life Res (2024). https://doi.org/10.1007/s11136-024-03784-z

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11136-024-03784-z

Keywords

Navigation