Prevalence and Associated Factors of Cognitive Frailty in Indonesian Community-Dwelling Older Adults

Anung Ahadi Pradana (Department of Community Nursing, STIKes Mitra Keluarga, Bekasi, Indonesia Jl. Pengasinan Jl. Rw. Semut Raya, RT.004/RW.012, Margahayu, Kec. Bekasi Tim., Kota Bekasi, Jawa Barat 17113 Training & Development Department, National Board Member of Indones)
Rohayati Rohayati (Department of Community Nursing, STIKes Mitra Keluarga, Bekasi, Indonesia Jl. Pengasinan Jl. Rw. Semut Raya, RT.004/RW.012, Margahayu, Kec. Bekasi Tim., Kota Bekasi, Jawa Barat 17113)
Siriluk Winitchayothin (Department of Fundamental Nursing, Faculty of Nursing, Mahidol University, Thailand Salaya, Phutthamonthon District, Nakhon Pathom 73170)
Nga Thi Thuy Nguyen (Faculty of Nursing and Midwifery, Hanoi Medical University, Hanoi, Vietnam 1 Tôn Thất Tùng, Kim Liên, Hà Nội School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan No. 250, Wuxing St., Xinyi Dist., Taipei City 110, Taiwan)
Joni Siahaan (Department of Community Nursing, STIKes Mitra Keluarga, Bekasi, Indonesia Jl. Pengasinan Jl. Rw. Semut Raya, RT.004/RW.012, Margahayu, Kec. Bekasi Tim., Kota Bekasi, Jawa Barat 17113)
Divine Grace Cas Domingo (Global Health and Health Security PhD Program, Taipei Medical University, Taipei, Taiwan 10F Biomedical Technology Building, No.301, Yuantong Rd., Zhonghe Dist., New Taipei City 235, Taiwan R.O.C. Institute of Human Nutrition and Food, College of Hum)
Shinta Silaswati (Gerontic Nursing Department, Institut Kesehatan Hermina, Jakarta, Indonesia Jl. Jatinegara Bar. No.126 10, RT.7/RW.1, Kp. Melayu, Kecamatan Jatinegara, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta 13320)

Jurnal Persatuan Perawat Nasional Indonesia (JPPNI)
Vol 11, No 2 (2026)

ObjectiveTo provide insights into the prevalence and associated factors of cognitive frailty among older adults in Bekasi, Indonesia.MethodsA total of 308 community-dwelling older adults in Bekasi, Indonesia participated in this cross-sectional study. Demographic data and various measurement tools, including the Mini Nutritional Assessment (MNA), Barthel Index, Lawton Instrumental Activities of Daily Living (IADL) Score, and World Health Organization Quality of Life (WHOQOL) assessment, were employed to evaluate health status. Binary logistic regression analysis was used to identify the cognitive frailty-associated factors.ResultsThe prevalence of cognitive frailty in Indonesia was found to be 8.44%. Factors significantly associated with cognitive frailty in this Indonesian cohort included marital status, lifestyle choices, the presence of comorbid conditions, history of serious illness, fall incidents, reduced physical performance, nutritional status, levels of depression, and self-reported quality of life.ConclusionTo our knowledge, this represents the first investigation into cognitive frailty within this population. The findings are significant, offering empirical evidence regarding the prevalence of cognitive frailty within the Indonesian population.KeywordsCognitive frailty, community-dwelling, older adults, prevalence