Correlates of Cognitive Impairment among Indian Urban Elders.

Poojitha Reddy Konda, Pawan Kumar Sharma, Atul R Gandhi, Enakshi Ganguly
Author Information
  1. Poojitha Reddy Konda: Mediciti Institute of Medical Sciences, Ghanpur, Hyderabad, India.
  2. Pawan Kumar Sharma: Department of Community Medicine, Mediciti Institute of Medical Sciences, Ghanpur, Hyderabad, India.
  3. Atul R Gandhi: Consultant Statistician & Chief Manager-Monitoring and Evaluation, EdelGive Foundation, Edelweiss House, Mumbai, India.
  4. Enakshi Ganguly: Department of Community Medicine, Mediciti Institute of Medical Sciences, Ghanpur, Hyderabad, India.

Abstract

BACKGROUND: Cognitive impairment among elderly is increasing owing to increases in life expectancy globally. The problem is multifactorial. The objective of the present paper was to study the correlates of cognitive impairment in an urban elderly population in India.
METHODS: A cross sectional study was conducted among 100 randomly selected urban elderly population. Data was collected upon household visits using a predesigned pretested questionnaire administered by a trained investigator. Measurements included cognitive function assessment using Mini Mental State Examination, depression assessment using Geriatric Depression Scale, blood pressure measurement and anthropometry. Cognitive impairment was defined at MMSE score <24. Logistic regression was done to identify independently associated factors with cognitive impairment.
RESULTS: Prevalence of cognitive impairment among elderly was 10%. Women had a higher prevalence than men. Higher age, no schooling, living single, lower weight, lower waist and hip ratios, difficulty in activities of daily living, poor self-reported health, bedridden and depression significantly associated with cognitive impairment. The independently associated factors upon logistic regression were increasing age, no schooling and bedridden status for past six months.
CONCLUSION: Although the current prevalence of cognitive impairment among Indian urban elderly is low, several associated factors exist in this population that may increase the burden in future. Geriatric health policy should address the modifiable risk factors to manage the problem of cognitive impairment and its consequent outcomes.

Keywords

References

  1. J Psychiatr Res. 1975 Nov;12(3):189-98 [PMID: 1202204]
  2. Stroke. 1998 Jan;29(1):104-11 [PMID: 9445337]
  3. WHO South East Asia J Public Health. 2014 Apr-Jun;3(2):135-143 [PMID: 28607299]
  4. J Am Geriatr Soc. 1983 Dec;31(12):721-7 [PMID: 6418786]
  5. Arq Neuropsiquiatr. 2016 Jul;74(7):549-54 [PMID: 27487375]
  6. J Gerontol A Biol Sci Med Sci. 2016 Mar;71(3):398-405 [PMID: 26433218]
  7. J Gerontol A Biol Sci Med Sci. 2001 Oct;56(10):M644-9 [PMID: 11584038]
  8. Front Psychiatry. 2018 Apr 17;9:142 [PMID: 29719518]
  9. Basic Clin Neurosci. 2014 Winter;5(1):28-30 [PMID: 25436081]
  10. Postgrad Med J. 2006 Feb;82(964):84-8 [PMID: 16461469]
  11. Colomb Med (Cali). 2013 Dec 31;44(4):224-31 [PMID: 24892239]
  12. Arch Neurol. 2009 Oct;66(10):1210-5 [PMID: 19822776]
  13. J Nutr Health Aging. 2005 Nov-Dec;9(6):455-61 [PMID: 16395518]
  14. J Gerontol A Biol Sci Med Sci. 2007 Aug;62(8):837-43 [PMID: 17702874]
  15. Arch Clin Neuropsychol. 2016 Sep;31(6):506-16 [PMID: 27475282]
  16. Lancet. 2006 Apr 15;367(9518):1262-70 [PMID: 16631882]
  17. Am J Geriatr Psychiatry. 2008 May;16(5):375-83 [PMID: 18332397]
  18. Can Fam Physician. 1986 Mar;32:513-6 [PMID: 21267146]
  19. Am J Geriatr Psychiatry. 2011 Jun;19(6):571-80 [PMID: 21606900]
  20. Indian J Psychiatry. 2014 Apr;56(2):154-60 [PMID: 24891703]
  21. BMC Geriatr. 2014 Apr 10;14:45 [PMID: 24720782]
  22. Psychiatry Res. 1989 May;28(2):193-213 [PMID: 2748771]
  23. J Gen Intern Med. 1993 Dec;8(12):645-52 [PMID: 8120679]
  24. J Intern Med. 2004 Sep;256(3):183-94 [PMID: 15324362]
  25. Am J Geriatr Psychiatry. 2007 Jun;15(6):467-76 [PMID: 17545447]
  26. Ann Intern Med. 1995 Mar 15;122(6):422-9 [PMID: 7856990]
  27. Neuropsychology. 2015 Jul;29(4):561-70 [PMID: 25495828]
  28. Psychol Bull. 1999 May;125(3):356-66 [PMID: 10349356]
  29. Gerontologist. 2000 Oct;40(5):574-81 [PMID: 11037936]
  30. JAMA. 1963 Sep 21;185:914-9 [PMID: 14044222]
  31. Lancet Diabetes Endocrinol. 2015 Jun;3(6):431-436 [PMID: 25866264]
  32. Age Ageing. 1996 May;25(3):201-5 [PMID: 8670552]
  33. Obesity (Silver Spring). 2015 Jul;23(7):1502-10 [PMID: 26110893]
  34. Dement Neuropsychol. 2014 Apr-Jun;8(2):117-125 [PMID: 29213892]
  35. Arq Neuropsiquiatr. 2013 Jun;71(6):362-7 [PMID: 23828529]
  36. Int J Geriatr Psychiatry. 2009 Jul;24(7):657-65 [PMID: 19235788]
  37. Indian J Community Med. 2018 Apr-Jun;43(2):113-116 [PMID: 29899611]
  38. Int Psychogeriatr. 2009 Aug;21(4):622-30 [PMID: 19505354]
  39. Arch Neurol. 2001 Mar;58(3):498-504 [PMID: 11255456]
  40. JAMA Neurol. 2016 Apr;73(4):439-46 [PMID: 26831542]
  41. Arch Intern Med. 2001 Jan 22;161(2):152-6 [PMID: 11176727]
  42. Curr Gerontol Geriatr Res. 2012;2012:175019 [PMID: 23243421]
  43. Med Sci Monit. 2014 Oct 17;20:1963-8 [PMID: 25323014]
  44. Neurodegener Dis Manag. 2012 Oct 1;2(5):483-491 [PMID: 23585777]
  45. Aust N Z J Psychiatry. 2004 Sep;38(9):725-31 [PMID: 15324337]
  46. Stroke. 2000 Jul;31(7):1608-14 [PMID: 10884461]
  47. Br J Psychiatry. 2005 Feb;186:136-40 [PMID: 15684237]
  48. Age Ageing. 2012 May;41(3):299-308 [PMID: 22374645]
  49. Am J Geriatr Pharmacother. 2008 Jun;6(2):100-18 [PMID: 18675769]
  50. Br Med Bull. 2009;92:135-52 [PMID: 19776035]
  51. J Clin Exp Neuropsychol. 2007 Feb;29(2):127-41 [PMID: 17365248]
  52. PLoS One. 2012;7(6):e38268 [PMID: 22675535]
  53. Eur J Neurol. 2002 Nov;9(6):573-80 [PMID: 12453071]
  54. Rev Lat Am Enfermagem. 2015 Nov-Dec;23(6):1130-8 [PMID: 26626005]
  55. Dement Neuropsychol. 2010 Jul-Sep;4(3):153-157 [PMID: 29213680]
  56. J Geriatr Psychiatry Neurol. 2017 Mar;30(2):67-76 [PMID: 28077009]
  57. J Am Geriatr Soc. 1992 Sep;40(9):922-35 [PMID: 1512391]
  58. Arch Neurol. 1998 Mar;55(3):395-401 [PMID: 9520014]
  59. Ann Intern Med. 2008 Mar 18;148(6):427-34 [PMID: 18347351]
  60. J Assoc Physicians India. 2009 Feb;57:163-70 [PMID: 19582986]
  61. Rev Assoc Med Bras (1992). 2013 Jul-Aug;59(4):326-34 [PMID: 23850027]
  62. World J Psychiatry. 2016 Mar 22;6(1):54-65 [PMID: 27014598]
  63. Dement Geriatr Cogn Dis Extra. 2018 Mar 20;8(1):98-103 [PMID: 29706986]
  64. BMC Neurol. 2011 Nov 17;11:147 [PMID: 22093337]
  65. Geriatr Gerontol Int. 2017 Jan;17(1):31-40 [PMID: 28112495]
  66. J Am Geriatr Soc. 2012 Nov;60(11):2127-36 [PMID: 23110433]
  67. Singapore Med J. 1988 Apr;29(2):164-7 [PMID: 3399919]
  68. Front Neurosci. 2014 Nov 19;8:375 [PMID: 25477778]
  69. Hypertension. 2000 Dec;36(6):1079-82 [PMID: 11116128]
  70. Sci Rep. 2018 Feb 23;8(1):3575 [PMID: 29476112]
  71. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2007 Jan;14(1):40-54 [PMID: 17164189]
  72. Gerontologist. 1983 Feb;23(1):75-85 [PMID: 6601038]

Grants

  1. D43 TW009078/FIC NIH HHS

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