Skip to main content

Advertisement

Log in

Does tandem balance test predict cognitive impairment among older adults? Findings from Longitudinal Ageing Study in India, 2017–18

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

Ageing entails a decline in physical and functional abilities including a reduced body balance due to complex integration and coordination of sensory acuity, motor control, neural and cognitive functions. This study aimed to examine the association between tandem balance test and cognitive impairment among older Indian adults. The study also examined the gender differentials in the associations with an interaction analysis.

Methods

Data for this study were drawn from the recent release of the Longitudinal Ageing Study in India (2017–18). The total sample size for the present study included 26,539 older adults age 60 years and above. Descriptive statistics and bivariate analysis were used to present the preliminary results. Two sample proportion test was used to evaluate the significance for gender differences. Further, multivariable binary logistic regression analysis was used to evaluate the independent association of balance test performance and cognitive impairment among older adults.

Results

Nearly 16% of male and 26% of female older adults could not finish full tandem test in this study. There were significant gender differences in cognitive impairment among older adults (male—6.5% and female—18.9%). The likelihood of cognitive impairment was significantly higher among older adults who could not finish the full tandem test compared to those who finished the tandem test [AOR: 1.22; CI: 1.09–1.36]. The interaction model revealed that older females who could not finish the full tandem test were 2.11 times significantly more likely to be cognitively impaired in reference to older males who finished the full tandem test [AOR: 2.11; CI: 1.81,2.45]. Similarly, older females who finished the full tandem test were 2.42 times significantly more likely to be cognitively impaired in reference to older males who finished the full tandem test [AOR: 2.42; CI: 2.02,2.88].

Conclusion

The findings of the study suggest that healthcare professionals working with older adults should consider the results of a balance test to screen for their risk of cognitive impairment. Results from the relationship between failing to finish the tandem test and cognitive impairment may be helpful for identifying older men and women who are at higher risk of experiencing mobility decline and their progression to dementia.

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.

Fig. 1

Similar content being viewed by others

Availability of data and material

The data are available at the Gateway to Global Aging Data (www.g2aging.org).

References

  1. Rut C, Jose B, Antonieta N (2018) Age-related cognitive changes: the importance of modulating factors. J Geriatr Med Gerontol https://doi.org/10.23937/2469-5858/1510048.

  2. Parikh PK, Troyer AK, Maione AM et al (2016) The impact of memory change on daily life in normal aging and mild cognitive impairment. Gerontologist 56:877–885. https://doi.org/10.1093/geront/gnv030

    Article  PubMed  Google Scholar 

  3. Murman D (2015) The impact of age on cognition. Semin Heart 36:111–121. https://doi.org/10.1055/s-0035-1555115

    Article  Google Scholar 

  4. Pais R, Ruano L, Carvalho OP et al (2020) Global cognitive impairment prevalence and incidence in community dwelling older adults—a systematic review. Geriatrics 5:84

    Article  PubMed  PubMed Central  Google Scholar 

  5. Chen P-H, Cheng S-J, Lin H-C et al (2018) Risk factors for the progression of mild cognitive impairment in different types of neurodegenerative disorders. Behav Neurol 2018:1–8. https://doi.org/10.1155/2018/6929732

    Article  Google Scholar 

  6. Naqvi R, Liberman D, Rosenberg J et al (2013) Preventing cognitive decline in healthy older adults. Can Med Assoc J 185:881–885. https://doi.org/10.1503/cmaj.121448

    Article  Google Scholar 

  7. Goto S, Sasaki A, Takahashi I et al (2018) Relationship between cognitive function and balance in a community-dwelling population in Japan. Acta Otolaryngol (Stockh) 138:471–474. https://doi.org/10.1080/00016489.2017.1408142

    Article  PubMed  Google Scholar 

  8. Caixeta GCDS, Doná F, Gazzola JM (2012) Processamento cognitivo e equilíbrio corporal em idosos com disfunção vestibular. Braz J Otorhinolaryngol 78:87–95. https://doi.org/10.1590/S1808-86942012000200014

    Article  PubMed  Google Scholar 

  9. Bahureksa L, Najafi B, Saleh A et al (2017) The impact of mild cognitive impairment on gait and balance: a systematic review and meta-analysis of studies using instrumented assessment. Gerontology 63:67–83. https://doi.org/10.1159/000445831

    Article  PubMed  Google Scholar 

  10. Rinalduzzi S, Trompetto C, Marinelli L et al (2015) Balance dysfunction in Parkinson’s disease. BioMed Res Int 2015:1–10. https://doi.org/10.1155/2015/434683

    Article  Google Scholar 

  11. Middleton A, Fritz SL (2013) Assessment of gait, balance, and mobility in older adults: considerations for clinicians. Curr Transl Geriatr Exp Gerontol Rep 2:205–214. https://doi.org/10.1007/s13670-013-0057-2

    Article  Google Scholar 

  12. Xiao T, Yang L, Smith L et al (2020) Correlation between cognition and balance among middle-aged and older adults observed through a Tai Chi intervention program. Front Psychol 11:668. https://doi.org/10.3389/fpsyg.2020.00668

    Article  PubMed  PubMed Central  Google Scholar 

  13. Singh PK, Jasilionis D, Oksuzyan A (2018) Gender difference in cognitive health among older Indian adults: a cross-sectional multilevel analysis. SSM-Popul Health 5:180–187. https://doi.org/10.1016/j.ssmph.2018.06.008

    Article  PubMed  PubMed Central  Google Scholar 

  14. Muhammad T, Srivastava S, Sekher TV (2022) Assessing socioeconomic inequalities in cognitive impairment among older adults: a study based on a cross-sectional survey in India. BMC Geriatr 22:389. https://doi.org/10.1186/s12877-022-03076-6

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Muhammad T, Sekher TV, Srivastava S (2022) Association of objective and subjective socioeconomic markers with cognitive impairment among older adults: cross-sectional evidence from a developing country. BMJ Open 12:e052501

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Jain U, Angrisani M, Langa KM et al (2022) How much of the female disadvantage in late-life cognition in India can be explained by education and gender inequality. Sci Rep 12:5684. https://doi.org/10.1038/s41598-022-09641-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. International Institute for Population Sciences (IIPS), NPHCE, MoHFW HTHCS of PH (HSPH) and the U of SC (USC) (2020) Longitudinal Ageing Study in India (LASI) Wave 1, 2017–18, India Report. Mumbai

  18. Pandav R, Fillenbaum G, Ratcliff G et al (2002) Sensitivity and specificity of cognitive and functional screening instruments for dementia: the Indo-U.S. Dementia Epidemiology Study. J Am Geriatr Soc 50:554–561. https://doi.org/10.1046/j.1532-5415.2002.50126.x

    Article  PubMed  Google Scholar 

  19. Crimmins EM, Guyer H, Langa KM et al (2008) Documentation of physical measures, anthropometrics and blood pressure in the Health and Retirement study. HRS Doc Rep 14:47–59

    Google Scholar 

  20. Muhammad T, Meher T (2021) Association of late-life depression with cognitive impairment: evidence from a cross-sectional study among older adults in India. BMC Geriatr 21:364. https://doi.org/10.1186/s12877-021-02314-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Singh P, Govil D, Kumar V et al (2017) Cognitive impairment and quality of life among elderly in India. Appl Res Qual Life 12:963–979. https://doi.org/10.1007/s11482-016-9499-y

    Article  Google Scholar 

  22. Muhammad T, Srivastava S, Sekher TV (2021) Association of self-perceived income sufficiency with cognitive impairment among older adults: a population-based study in India. BMC Psychiatry 21:256. https://doi.org/10.1186/s12888-021-03257-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Srivastava S, Joseph KJV, Dristhi D et al (2021) Interaction of physical activity on the association of obesity-related measures with multimorbidity among older adults: a population-based cross-sectional study in India. BMJ Open 11:e050245. https://doi.org/10.1136/bmjopen-2021-050245

    Article  PubMed  PubMed Central  Google Scholar 

  24. Srivastava S, Purkayastha N, Chaurasia H et al (2021) Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis. BMC Psychiatry 21:1–15. https://doi.org/10.1186/s12888-021-03192-4

    Article  Google Scholar 

  25. Cohen J (1977) The test that a proportion is .50 and the sign test. Stat Power Anal Behav Sci https://doi.org/10.1016/b978-0-12-179060-8.50010-4

  26. Osborne J, King JE (2011) Binary logistic regression. Best Pract Quant Methods, SAGE Publications, Inc, pp 358–84. https://doi.org/10.4135/9781412995627.d29

  27. Chauhan S, Srivastava S, Kumar P et al (2020) Interaction of substance use with physical activity and its effect on depressive symptoms among adolescents. J Subst Use. https://doi.org/10.1080/14659891.2020.1851411

    Article  Google Scholar 

  28. Muhammad T, Govindu M, Srivastava S (2021) Relationship between chewing tobacco, smoking, consuming alcohol and cognitive impairment among older adults in India: a cross-sectional study. BMC Geriatr 21:85. https://doi.org/10.1186/s12877-021-02027-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Montero-Odasso M, Verghese J, Beauchet O et al (2012) Gait and cognition: a complementary approach to understanding brain function and the risk of falling. J Am Geriatr Soc 60:2127–2136. https://doi.org/10.1111/j.1532-5415.2012.04209.x

    Article  PubMed  PubMed Central  Google Scholar 

  30. Scherder E, Eggermont L, Swaab D et al (2007) Gait in ageing and associated dementias; its relationship with cognition. Neurosci Biobehav Rev 31:485–497. https://doi.org/10.1016/j.neubiorev.2006.11.007

    Article  PubMed  Google Scholar 

  31. Rantanen T, Guralnik JM, Ferrucci L et al (2001) Coimpairments as predictors of severe walking disability in older women. J Am Geriatr Soc 49:21–27. https://doi.org/10.1046/j.1532-5415.2001.49005.x

    Article  CAS  PubMed  Google Scholar 

  32. Lauretani F, Maggio M, Ticinesi A et al (2018) Muscle weakness, cognitive impairment and their interaction on altered balance in elderly outpatients: results from the TRIP observational study. Clin Interv Aging 13:1437–1443. https://doi.org/10.2147/CIA.S165085

    Article  PubMed  PubMed Central  Google Scholar 

  33. Fischer BL, Gleason CE, Gangnon RE et al (2014) Declining cognition and falls: role of risky performance of everyday mobility activities. Phys Ther 94:355–362. https://doi.org/10.2522/ptj.20130195

    Article  PubMed  Google Scholar 

  34. Gale CR, Cooper C, Aihie SA (2016) Prevalence and risk factors for falls in older men and women: the English Longitudinal Study of Ageing. Age Ageing 45:789–794. https://doi.org/10.1093/ageing/afw129

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ibrahim A, Singh DKA, Shahar S (2017) ‘Timed Up and Go’ test: age, gender and cognitive impairment stratified normative values of older adults. PLoS ONE 12:1–14. https://doi.org/10.1371/journal.pone.0185641

    Article  CAS  Google Scholar 

  36. Rosso AL, Metti AL, Faulkner K et al (2019) Complex walking tasks and risk for cognitive decline in high functioning older adults. J Alzheimers Dis 71:S65-73. https://doi.org/10.3233/JAD-181140

    Article  PubMed  PubMed Central  Google Scholar 

  37. Liu X, Chen MH, Yue GH (2020) Postural control dysfunction and balance rehabilitation in older adults with mild cognitive impairment. Brain Sci 10:1–18. https://doi.org/10.3390/brainsci10110873

    Article  Google Scholar 

  38. Salzman B (2011) Gait and balance disorders in older adults. Am Fam Physician 82:61–68

    Google Scholar 

  39. Prohaska TR, Eisenstein AR, Satariano WA et al (2009) Walking and the preservation of cognitive function in older populations. Gerontologist. https://doi.org/10.1093/geront/gnp079

    Article  PubMed  Google Scholar 

  40. Klotzbier TJ, Schott N (2017) Cognitive-motor interference during walking in older adults with probable mild cognitive impairment. Front Aging Neurosci 9:1–14. https://doi.org/10.3389/fnagi.2017.00350

    Article  Google Scholar 

  41. Woollacott MH (2017) Systems contributing to balance disorders in older adults. Diabetes Care 40:S99-104. https://doi.org/10.2337/dc17-S014

    Article  Google Scholar 

  42. Beauchet O, Allali G, Annweiler C et al (2016) Association of motoric cognitive risk syndrome with brain volumes: results from the GAIT study. J Gerontol Ser Biol Sci Med Sci 71:1081–1088. https://doi.org/10.1093/gerona/glw012

    Article  Google Scholar 

  43. Bernard JA, Seidler RD (2014) Moving forward: age effects on the cerebellum underlie cognitive and motor declines. Neurosci Biobehav Rev 42:193–207

    Article  PubMed  Google Scholar 

  44. Liu Y, Yu X, Han P et al (2022) Gender-specific prevalence and risk factors of mild cognitive impairment among older adults in Chongming, Shanghai, China. Front Aging Neurosci 14:1

  45. Angrisani M, Jain U, Lee J (2020) Sex differences in cognitive health among older adults in India. J Am Geriatr Soc 68:S20–S28

    Article  PubMed  PubMed Central  Google Scholar 

  46. Xu H, Dupre ME, Østbye T et al (2019) Residential mobility and cognitive function among middle-aged and older adults in China. Res Aging 41:3–30. https://doi.org/10.1177/0164027518770780

    Article  PubMed  Google Scholar 

  47. Weir D, Lay M, Langa K (2014) Economic development and gender inequality in cognition: a comparison of China and India, and of SAGE and the HRS sister studies. J Econ Ageing 4:114–125

    Article  PubMed  PubMed Central  Google Scholar 

  48. Lei X, Smith JP, Sun X et al (2014) Gender differences in cognition in China and reasons for change over time: evidence from CHARLS. J Econ Ageing 4:46–55

    Article  PubMed  Google Scholar 

  49. Lee J, Shih R, Feeney K et al (2014) Gender disparity in late-life cognitive functioning in India: findings from the longitudinal aging study in India. J Gerontol B Psychol Sci Soc Sci 69:603–611

    Article  PubMed  PubMed Central  Google Scholar 

  50. Muhammad T, Debnath P, Srivastava S et al (2022) Childhood deprivations predict late-life cognitive impairment among older adults in India. Sci Rep 12:1–14

    Article  Google Scholar 

  51. Lee J, Smith JP (2014) Regional disparities in adult height, educational attainment, and late-life cognition: findings from the Longitudinal Aging Study in India (LASI). J Econ Ageing 4:26–34. https://doi.org/10.1016/j.jeoa.2014.02.002

    Article  PubMed  PubMed Central  Google Scholar 

  52. Adar S, D’Souza J, Shaddick G et al (2022) Higher household air pollution levels correlate with poorer cognitive function in the Longitudinal Aging Study in India (LASI). Alzheimers Dement 18:e059940

    Article  Google Scholar 

  53. Saenz JL, Adar SD, Zhang YS et al (2021) Household use of polluting cooking fuels and late-life cognitive function: a harmonized analysis of India, Mexico, and China. Environ Int 156:106722

    Article  PubMed  PubMed Central  Google Scholar 

  54. Saenz JL, Downer B, Garcia MA et al (2018) Cognition and context: rural-urban differences in cognitive aging among older Mexican adults. J Aging Health 30:965–986. https://doi.org/10.1177/0898264317703560

    Article  PubMed  Google Scholar 

  55. Yogev-Seligmann G, Rotem-Galili Y, Mirelman A et al (2010) How does explicit prioritization alter walking during dual-task performance? Effects of age and sex on gait speed and variability. Phys Ther 90:177–186. https://doi.org/10.2522/ptj.20090043

    Article  PubMed  PubMed Central  Google Scholar 

  56. Levine DA, Gross AL, Briceño EM et al (2021) Sex differences in cognitive decline among US adults. JAMA Netw Open 4:e210169–e210169

    Article  PubMed  PubMed Central  Google Scholar 

  57. Koran MEI, Wagener M, Hohman TJ (2017) Sex differences in the association between AD biomarkers and cognitive decline. Brain Imaging Behav 11:205–213

    Article  PubMed  PubMed Central  Google Scholar 

  58. Canon ME, Crimmins EM (2011) Sex differences in the association between muscle quality, inflammatory markers, and cognitive decline. J Nutr Health Aging 15:695–698

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The Longitudinal Ageing Study in India Project is funded by the Ministry of Health and Family Welfare, Government of India, the National Institute on Ageing (R01 AG042778, R01 AG030153), and United Nations Population Fund, India.

Funding

No funding was received for the study.

Author information

Authors and Affiliations

Authors

Contributions

Conceived and designed the research paper: TM and SS; analyzed the data: SS and TM; Contributed agents/materials/analysis tools: TM, MK, and PK; Wrote the manuscript: TM, SS, PD, PK and MK; Refined the manuscript: SS and TM. All authors reviewed the manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to T. Muhammad.

Ethics declarations

Conflict of interest

The authors declare that there is no competing interest.

Ethics approval and consent to participate

The study was approved by the Indian Council of Medical Research (ICMR) Ethics Committee in January 2017 and written or oral informed consent was obtained from the participants. All methods were carried out in accordance with relevant guidelines and regulations and in accordance with the World Medical Association Declaration of Helsinki and good clinical practice guidelines.

Consent for publication

Not applicable.

Additional information

Publisher's Note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 49 KB)

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

Muhammad, T., Srivastava, S., Debnath, P. et al. Does tandem balance test predict cognitive impairment among older adults? Findings from Longitudinal Ageing Study in India, 2017–18. Aging Clin Exp Res 35, 855–865 (2023). https://doi.org/10.1007/s40520-023-02359-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-023-02359-1

Keywords

Navigation