A Cross Sectional Study on Assessment of Cognitive Impairment and Behavioural Risk Factors Among Senior Citizens Living in Old Age Homes in Chengalpattu District, Tamilnadu

Authors

  • Sujitha Pandian Sree Balaji Medical College and Hospital, Chromepet, Chennai
  • Swetha NB Sree Balaji Medical College and Hospital, Chromepet, Chennai
  • Umadevi R Sree Balaji Medical College and Hospital, Chromepet, Chennai
  • Angeline Grace G Sree Balaji Medical College and Hospital, Chromepet, Chennai
  • Gopalakrishnan S Sree Balaji Medical College and Hospital, Chromepet, Chennai

DOI:

https://doi.org/10.55489/njcm.130720221268

Keywords:

Cognition, retirement homes, BMI

Abstract

Background: Ageing is an irreversible, unavoidable, universal phenomenon accompanied by gradual reduction in functional capacity of the elderly. The number of elderly populations in India is expected to triple reaching 2 billion. This study aims to estimate the prevalence of cognitive impairment and evaluate the association between various socio demographic and behavioural risk factors.

Methodology: This descriptive cross-sectional study was carried among 330 senior citizens living in old age homes by using a two-stage multistage sampling method. A standardized pretested structured questionnaire containing Brief Interview for Mental Status (BIMS) scale was used. Data was analysed using SPSS (Version 22).

Results: Among 330 study respondents, around 44% had mild -to- moderate cognitive impairment and 36% had severe cognitive impairment. Nearly 74.8% have their habit of regular physical activity. Among the study subjects approximately 4% of them were current smokers, 5.2% had the habit of regular alcohol consumption previously.

Conclusion: Integration of NPHCE and NMHP can be beneficial in early diagnosis of mild cognitive impairment during weekly outpatient visits at PHC. Level of attention given towards Alzheimer’s disease is more when compared to screening for cognitive impairment which is an early precursor for Alzheimer’s Disease.

References

Karmakar N, Datta A, Nag K, Tripura K. Quality of life among geriatric population: A cross-sectional study in a rural area of Sepahi-jala District, Tripura. Indian J Public Health. 2018 Apr 1;62(2):95.

Ministry of Statistics and Program Implementation | Government Of India [Internet]. [cited 2020 Jun 1]. Available from: http://www.mospi.gov.in/

Eldercare: Demographic downside [Internet]. India Today. [cited 2020 Mar 21]. Available from: https://www.indiatoday.in/magazine/nation/story/20180507-branded-corporate-elderly-care-old-age-homes-1221657-2018-04-26

Ontario Seniors Secretariat - Retirement Homes [Internet]. 2014 [cited 2020 Mar 21]. Available from: https://web.archive.org/web/20140222032259/http://www.seniors.gov.on.ca/en/retirement_homes/

Patel RM, Singh US. Prevalence Study of Cognitive Impairment and its Associated Sociodemographic Variables using Mini-Mental Status Examination among Elderly Population Residing in Field Practice Areas of a Medical College. Indian J Community Med. 2018;43(2):113-6. doi: https://dx.doi.org/10.4103%2F

BIMS scale - Google Search [Internet]. [cited 2020 Mar 21]. Available from: http://www.foundationsgroup.net/files/126558935.

Andrews S. Predicting Cognitive Decline: Genetic, Environmental and Lifestyle Risk Factors. 2017. doi: https://doi.org/10.25911/5d74e1b44df39

Qiu C, Johansson G, Zhu F, Kivipelto M, Winblad B. Prevention of cognitive decline in old age-varying effects of interventions in dif-ferent populations. Ann Transl Med [Internet]. 2019 Jul [cited 2020 Jun 4];7(Suppl 3). doi: https://doi.org/10.21037/atm.2019.06.19 PMid:31576349 PMCid:PMC6685914

Prevalence and correlates of cognitive impairment in a north Indian elderly population [Internet]. [cited 2020 Mar 20]. Available from: https://apps.who.int/iris/handle/10665/329735

Shaji S, Bose S, Verghese A. Prevalence of dementia in an urban population in Kerala, India. Br J Psychiatry. 2005 Feb;186(2):136-40. doi: https://doi.org/10.1192/bjp.186.2.136 PMid:15684237

Samuel R, McLachlan CS, Mahadevan U, Isaac V. Cognitive impairment and reduced quality of life among old-age groups in Southern Urban India: home-based community residents, free and paid old-age home residents. QJM Int J Med. 2016 Oct 1;109(10):653-9. doi: https://doi.org/10.1093/qjmed/hcw040 PMid:27026698

Dasgupta A, Ghose S, Paul B, Bandyopadhyay L, Ghosh P, Yadav A. Cognitive impairment and its predictors: A cross-sectional study among the elderly in a rural community of West Bengal.J Family Med Prim Care 2020;9:4603-4612. doi: https://doi.org/10.4103/jfmpc.jfmpc_604_20 PMid:33209770 PMCid:PMC7652164

Ramachandran R, Mundodan JM, Saju CR, Joshy VM. Nutritional status and cognitive impairment in elderly population in a rural area of Thrissur district, Kerala. Int J Community Med Public Health 2018;5:1218-23. DOI: https://doi.org/10.18203/2394-6040.ijcmph20180788

Kumar N, Sudhakar TP. Prevalence of cognitive impairment and depression among elderly patients attending the medicine outpa-tient of a tertiary care hospital in South India. Int J Res Med Sci 2013;1:359-64. doi: https://doi.org/10.5455/2320-6012.ijrms20131109

Santosh A. A Study On Morbidity Pattern, Social Problems And Facilities Available For Geriatric People In Old Age Homes Of Da-vangere District [Internet] [Thesis]. 2014 [cited 2020 Jul 27]. Available from: http://localhost:8080/xmlui/handle/123456789/9357

Sharma D, Mazta SR, Parashar A. Prevalence of cognitive impairment and related factors among elderly: A population-based study. J Dr NTR Univ Health Sci. 2013 Jul 1;2(3):171. Doi: https://doi.org/10.4103/2277-8632.117182

Katta A, krishnan GS, kumar GP, Amalraj CV, Jha RK, Munuswamy S. Morbidity Pattern and Nutritional Status of Elderly Population in Rural Tamil Nadu. J Indian Acad Geriatr 2011; 7: 159-162.

Swami HM, Bhatia V, Gupta AK, Bhatia SPS. An epidemiological study of obesity among elderly in Chandigarh. Indian J Community Med 2005; 30 (1): 11 - 13.

Espinosa del Pozo PH, Espinosa PS, Donadi EA, Martinez EZ, Salazar-Uribe JC, Guerrero MA, et al. Cognitive Decline in Adults Aged 65 and Older in Cumbayá, Quito, Ecuador: Prevalence and Risk Factors. Cureus [Internet]. 2020 Mar 20 [cited 2020 Mar 20];10(9). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221535/

Khanna AB, Metgud CS. Prevalence of cognitive impairment in elderly population residing in an urban area of Belagavi.JFamily Med Prim Care 2020;9:2699-2703. Doi: https://doi.org/10.4103/jfmpc.jfmpc_240_20 PMid:32984110 PMCid:PMC7491798

Rao SS, Chennamsetty SK, Kuna SR. A cross-sectional study of cognitive impairment and morbidity profile of inmates of old age home. Sch J App Med Sci 2014;2:1506-13.doi: https://dx.doi.org/10.4103%2Fjfmpc.jfmpc_604_20

Arizaga RL, Gogorza RE, Allegri RF, Baumann PD, Morales MC, Harris P, et al. Cognitive impairment and risk factor prevalence in a population over 60 in Argentina. Dement Amp Neuropsychol. 2014 Dec;8(4):364-70. Doi: https://doi.org/10.1590/S1980-57642014DN84000010 PMid:29213927 PMCid:PMC5619185

Gambhir IS, Khurana V, Kishore D, Sinha AK, Mohapatra SC. A clinico-epidemiological study of cognitive function status of communi-ty- dwelling elderly. Indian J Psychiatry 2014;56:365-70.doi: https://doi.org/10.4103/0019-5545.146531 PMid:25568477 PMCid:PMC4279294

Sengupta P, Benjamin AI, Singh Y, Grover A. Prevalence and correlates of cognitive impairment in a north Indian elderly population. WHO South-East Asia J Public Health 2014;3:135-43. Doi: https://doi.org/10.4103/2224-3151.206729 PMid:28607299

Samuel R, McLachlan CS, Mahadevan U, Isaac V. Cognitive impairment and reduced quality of life among old-age groups in Southern Urban India: home-based community residents, free and paid old-age home residents. QJM Int J Med. 2016 Oct 1;109(10):653-9. doi: https://doi.org/10.1093/qjmed/hcw040 PMid:27026698

PhDThesis_jesne_tryk_nofront.pdf [Internet]. [cited 2020 Jun 1]. Available from: https://backend.orbit.dtu.dk/ws/files/142116594/PhDThesis_jesne_tryk_nofront.pdf

Ren L, Zheng Y, Wu L, Gu Y, He Y, Jiang B, et al. Investigation of the prevalence of Cognitive Impairment and its risk factors within the elderly population in Shanghai, China. Sci Rep. 2018 Feb 23;8(1):3575.doi: https://doi.org/10.1038/s41598-018-21983-w PMid:29476112 PMCid:PMC5824836

Barnes DE, Tager IB, Satariano WA, Yaffe K [Internet]. The Relationship between Literacy and Cognition in Well-Educated Elders. The Journals of Gerontology; 2004 [cited 2020 Mar 31]. Doi: https://doi.org/10.1093/gerona/59.4.M390 PMid:15071084

Goodwin JS, Goodwin JM, Garry PJ. Association between nutritional status and cognitive functioning in a healthy elderly population. JAMA 1983;249:2917-21. Doi: https://doi.org/10.1001/jama.1983.03330450047024 PMid:6842805

Riggs KM, Spiro A, Tucker K, Rusch D. Relation of vitamin, B-12, vitamin B-6, folate and homocysteine to cognitive performance in the Normative Aging Study. American Journal of Clinical Nutrition. 1996;63:306-314. Doi: https://doi.org/10.1093/ajcn/63.3.306 PMid:8602585

Dustman RE, Emmerson R, Shearer D. Physical activity, age, and cognitive-neuropsychological function. Journal of Aging and Physi-cal Activity. 1994;2:143-181. Doi: https://doi.org/10.1123/japa.2.2.143

Sharma D, Mazta SR, Parashar A. Prevalence of cognitive impairment and related factors among elderly: A population-based study. J Dr NTR Univ Health Sci. 2013 Jul 1;2(3):171. DOI: https://doi.org/10.4103/2277-8632.117182

National Policy for Older Persons Year 1999.pdf [Internet]. [cited 2020 Sep 18]. Available from: http://socialjustice.nic.in/writereaddata/UploadFile/National%20Policy%20for%20Older%20Persons%20Year%201999.pdf

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Published

2022-07-31

How to Cite

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Pandian S, Swetha NB, Umadevi R, Grace G A, Gopalakrishnan S. A Cross Sectional Study on Assessment of Cognitive Impairment and Behavioural Risk Factors Among Senior Citizens Living in Old Age Homes in Chengalpattu District, Tamilnadu. Natl J Community Med [Internet]. 2022 Jul. 31 [cited 2024 Dec. 22];13(07):446-52. Available from: https://njcmindia.com/index.php/file/article/view/1268

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