Intrinsic and Extrinsic Risk Factor for Fall among Community Dwelling Indonesian Elderly

Authors

  • Susiana Nugraha Department of Public Health, Faculty of Public Health, University of Indonesia, Jakarta, Indonesia; Department of Public Health, Faculty of Health Sciences, Universitas Respati Indonesia, Depok, Indonesia https://orcid.org/0000-0002-6723-742X
  • Sabarinah Sabarinah Department of Public Health, Faculty of Public Health, University of Indonesia, Jakarta, Indonesia
  • Indri Hapsari Susilowati Department of Public Health, Faculty of Public Health, University of Indonesia, Jakarta, Indonesia
  • Tri Budi Rahardjo Department of Public Health, Faculty of Health Sciences, Universitas Respati Indonesia, Depok, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2022.8626

Keywords:

Risk factor, Elderly, Indonesia

Abstract

BACKGROUND: Fall-related injuries are identified as a public health problem that has major consequences in affecting the lives of elderly people. Recent studies showed that one out of four elderly people suffers from this condition annually.

AIM: This study aims at identification of fall risk factors that involve intrinsic and extrinsic factor to predict the future fall.

MATERIALS AND METHODS: This study uses an observational design and a descriptive-analytic approach with a cross-sectional method which was used to identify risk factors for falls. This study targeted 60 years and above who live in West Java region. Afterward, a total of 420 people were obtained and divided into two regions, 215 people in Bandung Regency and 205 people in Bandung City. Furthermore, the sampling technique used was for cluster random sampling.

RESULTS: The elderly who experienced incontinence in controlling urination had the potential of falling by 4 times compared to those who did not AOR = 3.73; 95% CI (1.038–13.428). Furthermore, those who had history of falling in the past 12 months were 2.4 times exposed compared to those who had not fallen AOR = 2.438; 95% CI (1.219–4.875). Balance disorders also contributed in increasing the risk of fall by 2 times with a value of AOR = 1.703; 95% CI (1.018–2.849). An extrinsic factor, namely, unsafe home environment has higher possibility to increase the risk of falling 2.6 times compared to those in safer environment (AOR = 2.603; 95% CI [1.331–5.087]).

CONCLUSION: This study succeeded in identifying the risk factors for falls among the elderly in intrinsic and extrinsic approach. This finding can be used as a reference in planning health promotion programs for elderly people, specifically in the primary prevention of morbidity and mortality that occur due to falls.

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References

World Health Organization. World Report on Ageing and Health. Geneva: World Health Organization; 2015.

Vellas B, Sourdet S. Prevention of frailty in aging. J Frailty Aging. 2017;6(4):174-7. https://doi.org/10.14283/jfa.2017.42 PMid:29165531 DOI: https://doi.org/10.14283/jfa.2017.42

Fuller G. Falls in the Elderly. Vol. 61. Leawood, KS: American Academy of Family Physicians; 2000. p. 2159-68.

Kvelde T, Lord SR, Close JC, Reppermund S, Kochan NA, Sachdev P, Brodaty H, et al. Depressive symptoms increase fall risk in older people, independent of antidepressant use, and reduced executive and physical functioning. Arch Gerontol Geriatr. 2015;60:190-5. https://doi.org/10.1016/J.ARCHGER.2014.09.003 PMid:25262556 DOI: https://doi.org/10.1016/j.archger.2014.09.003

Zhou H, Peng K, Tiedemann A, Ji P, Sherrington C. Risk factors for falls among older community dwellers in Shenzhen, China. Inj Prev. 2019;25(1):31-5. https://doi.org/10.1136/injuryprev-2017-042597 PMid:29475977 DOI: https://doi.org/10.1136/injuryprev-2017-042597

Thiamwong L, Thamarpirat J, Maneesriwongul W, Jitapunkul S. Thai falls risk assessment test (Thai-FRAT) developed for community-dwelling thai elderly. J Med Assoc Thailand. 2008;91(12):1823-32. PMid:19133516

World Health Organization. Falls. Geneva: World Health Organization; 2021.

World Health Organization. Falls. Fact Sheet Details. Geneva: World Health Organization; 2018.

World Health Organization. Global Report on Falls Prevention in Older Age. Geneva: World Health Organization; 2014.

Ministry of Health Republic Indonesia, Basic Health Research 2018, Jakarta : Ministry of Health, 2019.

Susilowati IH, Nugraha S, Sabarinah S, Peltzer K, Pengpid S, Hasiholan BP. Prevalence and risk factors associated with falls among community-dwelling and institutionalized older adults in indonesia. Malaysian Family Phys. 2020;15(1):30-8. PMid:32284802

World Health Organization. Ageing: Helathy Ageing and Functional Capacity. Ageing and Health. Geneva: World Health Organization; 2020.

Yeong UY, Tan SY, Yap JF, Choo WY. Prevalence of falls among community-dwelling elderly and its associated factors: A cross-sectional study in Perak, Malaysia. Malays Fam Phys. 2016;11(1):7-14. PMid:28461842

Van Voast Moncada L, Mire LG. Preventing falls in older persons. Am Fam Phys. 2017;96(4):240-7. PMid:28925664

Salzman B. Gait and balance disorders in older adults. Am Fam Phys. 2011;82(1):61-8. PMid:20590073

Nugraha S, Susilowati IH, Sabarinah S, Pengpid S, Peltzer K. Multimorbidity increases the risk of falling among indonesian elderly living in community dewelling and elderly home: A cross sectional study. Indian J Public Health Res Dev. 2019;10:2012-6. DOI: https://doi.org/10.5958/0976-5506.2019.03898.1

Menant JC, St George RJ, Fitzpatrick RC, Lord SR. Perception of the postural vertical and falls in older people. Gerontology. 2012;58:497-503. https://doi.org/10.1159/000339295 DOI: https://doi.org/10.1159/000339295

Martins AC, Moreira J, Silva C, Silva J, Tonelo C, Baltazar D, et al. Multifactorial screening tool for determining fall risk in community-dwelling adults aged 50 years or over (FallSensing): Protocol for a prospective study. J Med Internet Res. 2018;7(8):e10304. https://doi.org/10.2196/10304 PMid:30072360 DOI: https://doi.org/10.2196/10304

Gopinath B, Mcmahon CM, Burlutsky G, Mitchell P. Hearing and vision impairment and the 5-year incidence of falls in older adults. Age Ageing. 2016;45(3):353-8. https://doi.org/10.1093/ageing/afw022 PMid:26946051 DOI: https://doi.org/10.1093/ageing/afw022

Vence E, Lord S. Hearing Impairement and Falls (a mini review). New South Wales Falls Prevention Network; 2016.

Dhital A, Pey T, Stanford MR. Visual loss and falls: A review. Eye (Lond). 2010;24(9):1437-46. https://doi.org/10.1038/eye.2010.60 PMid:20448666 DOI: https://doi.org/10.1038/eye.2010.60

Hatahira H, Hasegawa S, Sasaoka S, Kato Y, Abe J, Motooka Y, et al. Analysis of fall-related adverse events among older adults using the Japanese adverse drug event report (JADER) database. J Pharm Health Care Sci. 2018;4:32. https://doi.org/10.1186/s40780-018-0129-8 PMid:30574336 DOI: https://doi.org/10.1186/s40780-018-0129-8

Chen X, Lin Z, Gao R, Yang Y, Li L. Prevalence and associated factors of falls among older adults between urban and rural areas of Shantou city, China. Int J Environ Res Public Health. 2021;18:7050. https://doi.org/10.3390/ijerph18137050 PMid:34280986 DOI: https://doi.org/10.3390/ijerph18137050

Kumari Y, Dsouza S. Comparison of fall risk in rural and urban community-dwelling Indian elderly. Asian J Gerontol Geriatr. 2016;11(2):54-9.

Susilowati IH, Nugraha S, Sabarinah BP, Pengpid S, Peltzer K. Comparison of fall risk assessment tools for older indonesian adults in the elderly home and the community. Indones J Occup Saf Health. 2019;8(3):241. https://doi.org/10.20473/ijosh.v8i3.2019.241-249 DOI: https://doi.org/10.20473/ijosh.v8i3.2019.241-248

Pengpid S, Peltzer K. Prevalence and risk factors associated with injurious falls among community-dwelling older adults in Indonesia. Curr Gerontol Geriatr Res. 2018;2018:5964305. https://doi.org/10.1155/2018/5964305 PMid:29971097 DOI: https://doi.org/10.1155/2018/5964305

Palumbo P, Palmerini L, Bandinelli S, Chiari L. Fall risk assessment tools for elderly living in the community: Can we do better? PLoS One. 2015;10(12):e0146247. https://doi.org/10.1371/journal.pone.0146247 PMid:26716861 DOI: https://doi.org/10.1371/journal.pone.0146247

Wongsawat S. Predicting factors for quality of life of elderly in the rural area. Int J Art Sci. 2017;9:363-71.

Setiati S, Laksmi PW. Balance disorder and fall. In: Aryanti SB, Sudoyo AW, editors. Handbook of Internal Medicines. 6th ed. Jakarta: Interna Publishing; 2017. p. 1388-96.

Renfro MO. Multifactorial Screening for Fall Risk in Community-dwelling Older Adults in the Primary Care Office: Development and Validation of the Fall Risk Assessment and Screening Tool (FRAST). Dissertation Abstracts International: Section B: The Sciences and Engineering. The University of Montana Missoula; 2011. DOI: https://doi.org/10.1519/JPT.0b013e31820e4855

Vogel SL. Urinary incontinence in the elderly. Ochsner J. 2001;3(4):214-8. PMid:21765740

Medical Advisory Secretariat. Behavioural interventions for urinary incontinence in community-dwelling seniors: An evidence-based analysis. Ontario Health Technol Assess Ser. 2008;8(3):1-52. PMid:23074508

Loharuka S. Incontinence and Falls in Older People: Is there a Link? Nursing Times; 2005.

Inouye SK, Studenski S, Tinetti ME, Kuchel GA. Geriatric syndromes: Clinical, research and policy implications of a core geriatric concept. J Am Geriatr Soc. 2007;55(5):780-91. https://doi.org/10.1016/j.bmcl.2009.08.098 PMid:17493201 DOI: https://doi.org/10.1111/j.1532-5415.2007.01156.x

Palompon DR, Ong M. Predictors of quality of life of institutionalized and community dwelling elderly. CNU J Higher Educ. 2015;9:152-61.

Rubenstein LZ. Falls in older people: Epidemiology, risk factors and strategies for prevention. Age Ageing. 2006;35(Suppl 2):37-41. https://doi.org/10.1093/ageing/afl084 PMid:16926202 DOI: https://doi.org/10.1093/ageing/afl084

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Published

2022-03-09

How to Cite

1.
Nugraha S, Sabarinah S, Susilowati IH, Rahardjo TB. Intrinsic and Extrinsic Risk Factor for Fall among Community Dwelling Indonesian Elderly. Open Access Maced J Med Sci [Internet]. 2022 Mar. 9 [cited 2024 Apr. 19];10(B):619-24. Available from: https://oamjms.eu/index.php/mjms/article/view/8626

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