Skip to main content
Log in

Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-to-Hip Ratio with Cognitive Function in Western China: Results from WCHAT Study

  • Original Research
  • Published:
The journal of nutrition, health & aging

Abstract

Objectives

This study examined the relationship between cognitive performance and obesity parameters, such as body mass index (BMI), visceral fat area (VFA), waist circumference (WC), and waist-to-hip ratio (WHR) in western China.

Study Design

A cross-sectional study.

Methods

3914 participants, aged ≥50 years, were recruited in this study. Anthropometrics measurements, life-style factors, chronic disease comorbidities, and sleep qualities were recorded for each participant. Among the anthropometrics, BMI, WC, and WHR were assessed using standard procedures, while VFA was calculated using bioelectrical impedance analysis. Cognitive performance was estimated using the Short Portable Mental Status Questionnaire (SPMSQ). Finally, relationships between cognitive abilities and BMI, VFA, WC, and WHR were evaluated using univariate and multivariate regression analyses.

Results

Cognitive decline (CD) occurred at a rate of 13.29% among the 3914 participants. A strong correlation was observed between cognitive abilities and BMI of male patients aged 50–59 yrs (OR 1.116,95% CI1.002–1.242), in the adjusted model. Alternately, WHR was shown to be significantly related to CD in females aged ≥70 years (OR 0.041, 95% CI0.002–0.671). WC was shown to have a strong association with CD in males (OR 1.023,95% CI1.003–1.024). Lastly, WHR was closely connected to CD in participants with BMI < 25 kg/m2 (OR 0.022,95% CI0.002–0.209).

Conclusions

Our findings suggest that a higher middle age BMI is associated with CD, whereas, in the elderly population, a higher WHR is related to improved cognitive performance. Further investigation is warranted to elucidate a relationship between VFA and CD.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Gustafson D, Rothenberg E, Blennow K, Steen B, Skoog I. An 18-year follow-up of overweight and risk of Alzheimer disease. Archives of internal medicine. Jul 14 2003;163(13):1524–1528.

    Article  Google Scholar 

  2. Kivipelto M, Ngandu T, Fratiglioni L, et al. Obesity and vascular risk factors at midlife and the risk of dementia and Alzheimer disease. Archives of neurology. Oct 2005;62(10):1556–1560.

    Article  Google Scholar 

  3. Luchsinger JA, Patel B, Tang MX, Schupf N, Mayeux R. Measures of adiposity and dementia risk in elderly persons. Archives of neurology. Mar 2007;64(3):392–398.

    Article  Google Scholar 

  4. Anstey KJ, Cherbuin N, Budge M, Young J. Body mass index in midlife and late-life as a risk factor for dementia: a meta-analysis of prospective studies. Obesity reviews: an official journal of the International Association for the Study of Obesity. May 2011;12(5):e426–437.

    Article  CAS  Google Scholar 

  5. Loef M, Walach H. Midlife obesity and dementia: meta-analysis and adjusted forecast of dementia prevalence in the United States and China. Obesity (Silver Spring, Md.). Jan 2013;21(1):E51–55.

    Article  Google Scholar 

  6. Sabia S, Kivimaki M, Shipley MJ, Marmot MG, Singh-Manoux A. Body mass index over the adult life course and cognition in late midlife: the Whitehall II Cohort Study. The American journal of clinical nutrition. Feb 2009;89(2):601–607.

    Article  CAS  Google Scholar 

  7. Yoon DH, Choi SH, Yu JH, Ha JH, Ryu SH, Park DH. The relationship between visceral adiposity and cognitive performance in older adults. Age Ageing. Jul 2012;41(4):456–461.

    Article  Google Scholar 

  8. Huang T, Chen Z, Shen L, Fan X, Wang K. Associations of Cognitive Function with BMI, Body Fat Mass and Visceral Fat in Young Adulthood. Medicina (Kaunas, Lithuania). May 28 2019;55(6).

  9. Chiba I, Lee S, Bae S, Makino K, Shinkai Y, Shimada H. Visceral Fat Accumulation Is Associated with Mild Cognitive Impairment in Community-Dwelling Older Japanese Women. The journal of nutrition, health & aging. 2020;24(3):352–357.

    Article  CAS  Google Scholar 

  10. Moh MC, Low S, Ng TP, et al. Role of endothelium-independent vasodilation in the relationship between visceral adiposity and reduced cognitive performance in older adults with type 2 diabetes. May 2020;27(4):e12609.

    CAS  Google Scholar 

  11. Jagust W, Harvey D, Mungas D, Haan M. Central obesity and the aging brain. Archives of neurology. Oct 2005;62(10):1545–1548.

    Article  Google Scholar 

  12. Abbatecola AM, Lattanzio F, Spazzafumo L, et al. Adiposity predicts cognitive decline in older persons with diabetes: a 2-year follow-up. PLoS One. Apr 23 2010;5(4):e10333.

    Article  Google Scholar 

  13. Luchsinger JA, Biggs ML, Kizer JR, et al. Adiposity and cognitive decline in the cardiovascular health study. Neuroepidemiology. 2013;40(4):274–281.

    Article  Google Scholar 

  14. Liu X, Hao Q, Yue J, et al. Sarcopenia, Obesity and Sarcopenia Obesity in Comparison: Prevalence, Metabolic Profile, and Key Differences: Results from WCHAT Study. The journal of nutrition, health & aging. 2020/02/12 2020.

  15. Liu X, Hou L, Xia X, et al. Prevalence of sarcopenia in multi ethnics adults and the association with cognitive impairment: findings from West-China health and aging trend study. Feb 17 2020;20(1):63.

    Google Scholar 

  16. Liu X, Hao Q, Hou L, et al. Ethnic Groups Differences in the Prevalence of Sarcopenia Using the AWGS Criteria. The journal of nutrition, health & aging. 2020/06/01 2020;24(6):665–671.

    Article  CAS  Google Scholar 

  17. Cruz-Jentoft AJ, Francesco L, Schneider SM, et al. Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS). Age & Ageing. 2014;43(6):748–759.

    Article  Google Scholar 

  18. Tosato M, Marzetti E, Cesari M, et al. Measurement of muscle mass in sarcopenia: from imaging to biochemical markers. Aging clinical and experimental research. Feb 2017;29(1):19–27.

    Article  Google Scholar 

  19. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. Jul 1 2019;48(4):601.

    Article  Google Scholar 

  20. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. Journal of the American Geriatrics Society. Oct 1975;23(10):433–441.

    Article  CAS  Google Scholar 

  21. Lim PP, Ng LL, Chiam PC, Ong PS, Ngui FT, Sahadevan S. Validation and comparison of three brief depression scales in an elderly Chinese population. International journal of geriatric psychiatry. Sep 2000;15(9):824–830.

    Article  CAS  Google Scholar 

  22. Tsai PS, Wang SY, Wang MY, et al. Psychometric evaluation of the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) in primary insomnia and control subjects. Quality of life research: an international journal of quality of life aspects of treatment, care and rehabilitation. Oct 2005;14(8):1943–1952.

    Article  CAS  Google Scholar 

  23. James WP. International Association for the Study of Obesity and China. Obesity reviews: an official journal of the International Association for the Study of Obesity. Mar 2008;9 Suppl 1:2–3.

    Article  Google Scholar 

  24. Han C, Jo SA, Seo JA, et al. Adiposity parameters and cognitive function in the elderly: application of “Jolly Fat” hypothesis to cognition. Archives of gerontology and geriatrics. Sep-Oct 2009;49(2):e133–e138.

    Article  Google Scholar 

  25. Jia W, Lu J, Xiang K, Bao Y, Lu H, Chen L. [Evaluation of abdominal visceral obesity from anthropometric parameters using receiver operating characteristic curves]. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi. Feb 2002;23(1):20–23.

    CAS  PubMed  Google Scholar 

  26. Nagano M, Sasaki H, Kumagai S. [The cutoff point of visceral fat area as a goal for improving risk factors of arteriosclerosis in patients with glucose intolerance]. Nihon rinsho. Japanese journal of clinical medicine. Feb 2005;63 Suppl 2:417–420.

    PubMed  Google Scholar 

  27. New criteria for ‘obesity disease’ in Japan. Circulation journal: official journal of the Japanese Circulation Society. Nov 2002;11(11):987–992.

  28. Pais R, Ruano L, O PC. Global Cognitive Impairment Prevalence and Incidence in Community Dwelling Older Adults-A Systematic Review. Oct 27 2020;5(4).

  29. Cao Q, Tan CC, Xu W, et al. The Prevalence of Dementia: A Systematic Review and Meta-Analysis. Journal of Alzheimer’s disease: JAD. 2020;73(3):1157–1166.

    PubMed  Google Scholar 

  30. Nasios G, Bakirtzis C, Messinis L. Cognitive Impairment and Brain Reorganization in MS: Underlying Mechanisms and the Role of Neurorehabilitation. Frontiers in neurology. 2020;11:147.

    Article  Google Scholar 

  31. Yaffe K, Barnes D, Lindquist K, et al. Endogenous sex hormone levels and risk of cognitive decline in an older biracial cohort. Neurobiology of aging. Feb 2007;28(2):171–178.

    Article  CAS  Google Scholar 

  32. Signore AP, Zhang F, Weng Z, Gao Y, Chen J. Leptin neuroprotection in the CNS: mechanisms and therapeutic potentials. Journal of neurochemistry. Sep 2008;106(5):1977–1990.

    Article  CAS  Google Scholar 

  33. Lieb W, Beiser AS, Vasan RS, et al. Association of plasma leptin levels with incident Alzheimer disease and MRI measures of brain aging. Jama. Dec 16 2009;302(23):2565–2572.

    Article  CAS  Google Scholar 

  34. Zhang T, Yan R, Chen Q, et al. Body mass index, waist-to-hip ratio and cognitive function among Chinese elderly: a cross-sectional study. BMJ open. Oct 18 2018;8(10):e022055.

    Article  Google Scholar 

  35. Rodríguez-Fernández JM, Danies E, Martínez-Ortega J, Chen WC. Cognitive Decline, Body Mass Index, and Waist Circumference in Community-Dwelling Elderly Participants. Journal of geriatric psychiatry and neurology. Mar 2017;30(2):67–76.

    Article  Google Scholar 

  36. Moh MC, Low S, Ng TP, et al. Association of traditional and novel measures of central obesity with cognitive performance in older multi-ethnic Asians with type 2 diabetes. Apr 2020;10(2):e12352.

    Google Scholar 

Download references

Acknowledgements

We thank all the volunteers for the participation and personnel for their contribution to the WCHAT study.

Funding

This work was supported by National Clinical Research Center for Geriatrics (Z2018B09), the Fundamental Research Funds for the Central Universities (20826041D4046), Post-doc Epidemic Prevention and Control Program (0040204153349), West China Hospital Post-doc Program (2020HXBH011), 2020 Zigong City Key Technology Support Plan (Project No. 2020YLSF19), Chengdu Science and Technology Bureau Major Science and Technology Application Demonstration Project (2019YF0900083SN), Department of Aging and Health, National Health Commission PRC (ZX2019023) and Grant No. 2018YFC2002400 from the National Key R&D Program of China. Postdoctoral Fund of West China Hospital (No. 2019HXBH054).

Author information

Authors and Affiliations

Authors

Contributions

Xiaolei Liu and Xiaoyan Chen contributed to conceptualization, data collection, data curation, formal analysis, writing the original draft, and review and editing of the paper. Lisha Hou and Xin Xia contributed to data collection, data curation, and review and editing of the paper. Fengjuan Hu contributed to data collection, data curation. Shuyue Luo contributed to data collection, data curation. Gongchang Zhang contributed to data collection, data curation. Birong Dong contributed to study conceptualization, funding acquisition, investigation, methodology, project administration, supervision, and review and editing of the paper.

Corresponding author

Correspondence to Birong Dong.

Ethics declarations

Informed consent was provided by each participant or their proxy respondents before participating in the study. The study was approved by the Ethics Committee of Sichuan University (reference: 2017–445). All the experiment protocol for involving human data was in accordance to guidelines of national/international/institutional or Declaration of Helsinki in the manuscript.

Additional information

Conflicts of Interest

The authors report no conflicts of interest in this work.

Availability of Data and Materials

The datasets generated and analyzed during the current study are not publicly available due to this is a newly database which has a lot of important information and we are applying some important projects based on this. But this dataset will be available two years later and is also available now from the corresponding author on a reasonable request.

Consent to publish

Not applicable

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, X., Chen, X., Hou, L. et al. Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-to-Hip Ratio with Cognitive Function in Western China: Results from WCHAT Study. J Nutr Health Aging 25, 903–908 (2021). https://doi.org/10.1007/s12603-021-1642-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-021-1642-2

Key words

Navigation