Analysis of Frailty Syndrome in Elderly Farmers

https://doi.org/10.22146/rpcpe.76333

TA Larasati(1*), L. Ristia Eiska(2)

(1) 
(2) Faculty of Medicine, Lampung University
(*) Corresponding Author

Abstract


Background: Lampung with a high population of farmers has entered with an old population. That inpacted Increasing age on several health problems, one of which is Frailty Syndrome / geriatric syndrome. This study aims to determine sociodemographic aspects, family functions, marital status, educational status, psychology, cognitive, and sleep quality on frailty syndrome. Methods: The research used an analytic observation method and a cross-sectional approach. Pusposive cluster sampling technique. This research was conducted in 7 villages in Muara Sungkai sub-district, North Lampung district, on 77 elderly farmers with the inclusion criteria agreed to the informed consent, aged >60 years, and did not have a disability. Frailty Syndrome based on  the FRAIL-J instrument. Family function was assessed from Smilkstein's Family System APGAR Items, Cognitive function based on MMSE (Mini Mental State Examination) instrument, Psychological based on GDS (Geriatric Depression Scale) instrument and Sleep Quality based on  Pittsburgh Sleep Quality Index (PSQI). Results: The results showed that there were 80.5% old farmers with Frailty Syndrome and 19.5% experienced pre-frailty. Variables related to frailty syndrome were age (p=0.014 ; 95% CI = 0.013 – 0.871), Family Function (p= <0.01 ; 95% CI = 2.998 – 28.038) , Educational Status (p=0.008; CI 95 % = 1.164-29.353) and sleep quality (p=0.033 ; 95% CI = 1.133-11.154) had a significant relationship with Frailty Syndrome. Conclusion: Age, family function, educational status and sleep quality are significantly associated with frailty syndrome.


Keywords


Frailty Syndrome, Lansia, Sosiodemografi, Psikologi, Kognitif, Kulitas Tidur

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References

  1. WHO. UN Decade of Healthy Ageing 2021-2030. 2021. Available from: https://www.who.int/initiatives/decade-of-healthy-ageing (Tanggal diakses: 9 Juli 2022)
  2. Badan Pusat Statistik. Statistik Penduduk Lanjut Usia 2019. Available from: https://bps.go.id/publication.html?Publikasi%5BtahunJudul%5D=&Publikasi%5BkataKunci%5D=lanjut+usia&Publikasi%5BcekJudul%5D=0&yt0=Tampilkan ( Tanggal akses: 8 Juli 2022)
  3. Badan Pusat Statistik. Statistik Penduduk Lanjut Usia 2020. Available from: https://pusdatin.kemkes.go.id/article/view/22051900001/lansia-berdaya-bangsa-sejahtera.html ( Tanggal akses: 8 Juli 2022)
  4. Badan Pusat Statistik. Statistik Penduduk Lanjut Usia 2021. Available from: https://www.bps.go.id/publication/2021/12/21/c3fd9f27372f6ddcf7462006/statistik-penduduk-lanjut-usia-2021.html (Tanggal akses: 8 Juli 2022)
  5. Nimmons D, Pattison T, O’Neill P. Medical student attitudes and concepts of frailty and delirium. European Geriatric Medicine. 2018 Feb; 9(1):45-50. Doi: 10.1007/s41999-017-0018-y.
  6. Wowor R, Wantania F. Health problems in the elderly: Frailty syndrome. Jurnal Biomedik. 2020; 12(2):83-7. DOI: 10.35790/JBM.12.2.2020.29162.
  7. Chen X, Mao G, Leng SX. Frailty syndrome: an overview. Clinical Interventions in Aging. 2014; 9:433.
  8. Badan Pusat Statistik. Statistik Penduduk Lanjut Usia 2021. Available from: https://www.bps.go.id/publication/2021/12/21/c3fd9f27372f6ddcf7462006/statistik-penduduk-lanjut-usia-2021.html (Tanggal akses: 8 Juli 2022)
  9. Badan Pusat Statistik. Statistik Penduduk Lanjut Usia 2021. Available from: https://www.bps.go.id/publication/2021/12/21/c3fd9f27372f6ddcf7462006/statistik-penduduk-lanjut-usia-2021.html (Tanggal akses: 8 Juli 2022)
  10. Hoi LV, Phuc HD, Dung TV, Chuc NT, Lindholm L. Remaining life expectancy among older people in a rural area of Vietnam: trends and socioeconomic inequalities during a period of multiple transitions. BMC Public Health. 2009 Dec; 9(1):1-3.
  11. Joutsenniemi K. Living Arrangements and Health. 2007. Available from: http://www.ktl.fi/portal/4043 (Tanggal Akses: 8 Agustus 2022).
  12. Novayenni R, Sabrian F. Pengaruh Pendidikan Kesehatan Terhadap Angka Kunjungan Lansia Ke Posyandu Lansia (Doctoral dissertation, Riau University). JOM. Vol. 2; No. 1; 2015. PSIK Universitas Riau. 2015.
  13. Wistara AN, Aryana IS, Kuswardhani RT, Astika IN, Putrawan IB, Purnami KR. Comparative study on the incidence of frailty in the elderly population in Pedawa Singaraja Village and Mangupura City Badung, Bali Province. Medicina. 2019; 50(1):41-5. DOI: 10.15562/MEDICINA.V50I1.325
  14. Putri DA, Purnawati S. The relationship between grip muscle strength and functional ability in elderly women at the elderly posyandu in Dauh Puri Kelod Village, West Denpasar. E-Jurnal Medika. 2017 Mar 31; 6(4):20-7.
  15. Septiany, M. C., Basyar, E., dan Hardian, H. Pengaruh Latihan Naik Turun Bangku Harvard Terhadap nilai VO2Max pada Atlet Sepak Bola. Jurnal Kedokteran Diponegoro, 8(1), 273-283. 2019.
  16. Nadya S, Susanti SS. Family functions with the quality of life of elderly in Aceh Besar District. Jurnal Ilmiah Mahasiswa Fakultas Keperawatan Universitas Syiah Kuala. 2019; 4(1):64-71.
  17. Larasati T, Lipoeto NI, Sutomo AH. “GENOGRAM Physician Involvement Model” New Approach for Indonesian Physician Involvement with Family. Korean Journal of Family Medicine. 2020 Sep; 41(5):325-331.
  18. Wahyuni, D. Kualitas Tidur dan Gangguan Tidur Pada lansia di Panti Werda Bakti Darma KM 7 Palembang. Universitas Sriwijaya. 2009.
  19. Hasibuan RK, Hasna JA. Overview of sleep quality in the elderly and factors affecting it in Kayangan District, Lombok Utara Regency, Nusa Tenggara Barat. Jurnal Kedokteran dan Kesehatan. 2021 Sep 5; 17(2):187-95.
  20. Fiske A, Wetherell JL, Gatz M. Depression in older adults. Annual Review of Clinical Psychology. 2009; 5:363–389. DOI: 10.1146/ANNUREV.CLINPSY.032408.153621
  21. Ramli R, Fadhillah MN. Factors affecting cognitive function in the elderly. Window of Nursing Journal. 2020 Jun 25:22-30. E-ISSN 2721-3994
  22. Setiati S, Laksmi PW, Aryana IG, Sunarti S, Widajanti N, Dwipa L, Seto E, Istanti R, Ardian LJ, Chotimah SC. Frailty state among Indonesian elderly: prevalence, associated factors, and frailty state transition. BMC Geriatrics. 2019 Dec; 19(1):1-0. DOI: 10.1186/S12877-019-1198-8/TABLES/6.
  23. Eyigor S, Kutsal YG, Duran E, Huner B, Paker N, Durmus B, et al. Frailty prevalence and related factors in the older adult—FrailTURK Project. Age. 2015 Jun; 37(3):1-3. DOI: 10.1007/S11357-015-9791-Z.
  24. Barbosa da Silva A, Queiroz de Souza I, Da Silva IK, Borges Lopes Tavares da Silva M, Oliveira dos Santos AC. Factors associated with frailty syndrome in older adults. The Journal of Nutrition, Health & Aging. 2020 Feb; 24(2):218-22. DOI: 10.1007/S12603-020-1310-Y
  25. D’Souza C, Taghian M, Lamb P, Peretiatko R. Green decisions: demographics and consumer understanding of environmental labels. International Journal of Consumer Studies. 2007 Jul; 31(4):371-6.
  26. Laveda S, Tadjudin NS. Sleep duration and frailty on senior citizen. Syntax Literate; Jurnal Ilmiah Indonesia. 2022 Jan 15; 7(1):821-7.
  27. Buford TW, Anton SD, Judge AR, Marzetti E, Wohlgemuth SE, Carter CS, Leeuwenburgh C, Pahor M, Manini TM. Models of accelerated sarcopenia: critical pieces for solving the puzzle of age-related muscle atrophy. Ageing Research Reviews. 2010 Oct 1; 9(4):369-83. DOI: 10.1016/J.ARR.2010.04.004.
  28. Zhang Y, Yuan M, Gong M, Tse G, Li G, Liu T. Frailty and clinical outcomes in heart failure: a systematic review and meta-analysis. Journal of the American Medical Directors Association. 2018 Nov 1; 19(11):1003-8.



DOI: https://doi.org/10.22146/rpcpe.76333

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