Factors Affecting Falls in the Dependent Elderly in Sukhothai Province, Thailand 10.55131/jphd/2026/240201
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Abstract
This cross-sectional survey aimed to study factors affecting falls in dependent elderly individuals in Sukhothai Province, Thailand, both in urban and rural areas. The study was conducted between October and November 2024, and 447 participants aged 60 years and older were selected using stratified random sampling. Data were collected using standardized, interviewer-administered questionnaires that included demographics, health status, sleep, physical activity, and home environment. Descriptive statistics and multivariable logistic regression were used to find significant predictors of falls. The results of the study showed that a majority of the informants had a history of falls (60.2%). The factors that could predict the chance of falls in the dependent elderly group with statistical significance at the 0.05 level were history of chronic illness (Adj OR = 9.52), insufficient Sleep (Adj OR = 5.90), area with different levels (Adj OR = 5.58), lack of exercise (Adj OR = 5.15), slippery floor (Adj OR = 4.63) and income inadequacy (Adj OR = 3.15). In conclusion, the management of risk factors affecting falls involves biology, economics and society, behaviors, and environment. These factors should be integrated into health promotion, environmental management, and income support strategies to effectively reduce the fall rate in the dependent elderly group and improve the quality of life of the elderly in the long term.
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References
Department of Older Persons. Situation of the Thai elderly 2023. Bangkok: Amarin Corporation Public Company Limited; 2023.
Chamie J. Population Ageing: An Inescapable Future. In: Population Levels, Trends, and Differentials: More Important Population Matters. Cham: Springer Nature Switzerland; 2023. p.25-8.
Doerr S, Frost J, Gambacorta L, Qiu H. Population ageing and the digital divide. SUERF Policy Brief. 2022;(270):1–8.
Tay WT, Rane RV, Padovan A, Walsh TK, Elfekih S, Downes S, et al. Global population genomic signature of Spodoptera frugiperda (fall armyworm) supports complex introduction events across the Old World. Commun Biol. 2022;5(1):297.
National Statistical Office. Demographic, population and housing statistics. Bangkok: National Statistical Office; 2022.
Department of Disease Control, Division of Injury Prevention. Prevention of falls in the elderly [Internet]. 2022 [cited 2023 Aug 8]. Available from: https://ddc.moph. go.th/dip/news.php?news=23843
Aekplakorn W. Thailand population health examination survey IV in 2019–2020. Bangkok: Aksorn Graphic and Design Publishing House; 2021.
Department of Disease Control, Division of Injury Prevention. Number and mortality rate from falls in elderly people aged 60 years and over, 2017–2022 [Internet]. 2023 [cited 2023 Aug 8]. Available from: https://ddc.moph. go.th/dip/news.php?news=34621&deptcode=
James SL, Lucchesi LR, Bisignano C, et al. The global burden of falls: global, regional and national estimates of morbidity and mortality from the Global Burden of Disease Study 2017. Inj Prev. 2020;26(Suppl 1):i3–11.
Kespichayawattana J, et al. Learn to understand elderly (1). Bangkok: Faculty of Nursing, Chulalongkorn University and Thai Health Promotion Foundation; 2018.
Jaisue D. The development of falls prevention model for elderly by participation of community partnership networks. J Khon Kaen Prov Health Off. 2022;4(2):255.
World Health Organization. Step safely: strategies for preventing and managing falls across the life-course [Internet]. Geneva: WHO; 2021 [cited 2023 Jun 2]. Available from: https://iris.who.int/handle/10665/340962
Laokhompruttajan J, Vilawarn J, Laokhompruttajan T, Boonnao Y, Boonserm P. The effect of socio-cultural program for promoting quality of life and depressive prevention in the elderly, Na Fai Subdistrict, Mueang Haiyaphum, Chaiyaphum Province in 2020. Res Dev Health Syst J. 2022;15(1):181–95.
Saiphraraj T, Saengprajuk N, Saiyasalee S. Discrepancies in the provision of emergency medical services for fall among the elderly in Thailand. J Emerg Med Serv Thailand. 2022;2(1):58–65.
Department of Health, Division of Physical Activity and Health, Ministry of Public Health. Physical fitness assessment to reduce the risk of falls in the elderly. Nonthaburi: Ministry of Public Health; 2022.
Lecktip C, Woratanarat T, Bhubhanil S, Lapmanee S. Risk factors for falls in elderly. J Med Health Sci. 2019;26(1):85–103.
Attavinijtrakarn T, Imarb C. The effectiveness in preparation and fall prevention programs in the elderly. Reg 4-5 Med J. 2019;38(4):288–9.
Srichang N. Fall in the elderly: a problem frequently found [Internet]. 2019 [cited 2023 Jun 2]. Available from: https://ddc.moph.go.th/doe/ journal_detail.php?publish=5996
Chuachan O. Factors affecting fall in the elderly at Wang Sai Phun District Pichit Province [Master’s thesis]. Phitsanulok: Naresuan University; 2022.
Daniel WW. Biostatistics: A foundation of analysis in the health sciences. 6th ed. New York: John Wiley & Sons; 1995. p.177–8.
Chaimay B. Sample size determination in descriptive study in public health. Thaksin Univ J. 2013;16(2):9–18.
World Health Organization. World health statistics 2008. Geneva: WHO; 2008.
Tang S, Liu M, Yang T, Ye C, Gong Y, Yao L, et al. Association between falls in elderly and the number of chronic diseases and health‑related behaviors based on CHARLS 2018: health status as a mediating variable. BMC Geriatr [Internet]. 2022 [cited 2023 Feb 6];22:3055. Available from: https:// doi.org/10.1186/s12877-022-03055-x
Kim MY, Kim Y. Comparison of factors influencing fall recurrence in the young‑old and old‑old: a cross‑sectional nationwide study in South Korea. BMC Geriatr [Internet]. 2022 [cited 2023 Jan 19];22:3172. Available from: https://doi.org/ 10.1186/s12877-022-03172-7
Dunlakan C, Charerntanyarak L. Factor associated with fall in the elderly in Nabon Subdistrict, Khammuang District, Kalasin Province: A case control study. J Nurs Health Sci. 2019;13(1):60–70.
Treesorn K. Risk factors related for falls among elderly: Ban Tha Muang, Selaphum District, Roi Et Province. J Roi Et Rajabhat Univ. 2020;14(3):220–33.
Songthap A, et al. Factors affecting home environmental safety management for fall prevention for older adults in northern Thailand. BMC Geriatr. 2023;23:704.
