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已发表论文
慢性病老年患者内在能力受损的模式及影响因素：潜在类别分析
Authors Zhang Y, Jiang Z, Hu R, Liang H , Yang S , Mao Q, Liu S, Yuan X
Received 27 June 2025
Accepted for publication 21 November 2025
Published 1 December 2025 Volume 2025:20 Pages 2317—2336
DOI https://doi.org/10.2147/CIA.S549998
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Nandu Goswami
Yumeng Zhang,1,2 Zhixia Jiang,3 Rujun Hu,1 Heting Liang,1 Shaoting Yang,2 Qingyun Mao,2 Siqin Liu,1 Xiaoli Yuan1
1Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People’s Republic of China; 2Faculty of Nursing, Zunyi Medical University, Zunyi, Guizhou, People’s Republic of China; 3College Office, Guizhou Nursing Vocational College, Guiyang, Guizhou, People’s Republic of China
Correspondence: Xiaoli Yuan, Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People’s Republic of China, Email 872428494@qq.com
Background: Due to the increase in life expectancy, the prevalence of older adults with chronic diseases is gradually increasing. Intrinsic capacity (IC) is an important indicator for assessing the physical condition of older adults. Older adults often experience a decline in IC before serious illness develops. Early screening for IC decline and timely interventions are essential. The goal of this study was to explore the patterns of IC impairment and their influencing factors in older adults with chronic diseases, and to provide a reference for the development of interventions to enhance their IC.
Methods: We conducted a cross-sectional study of 8427 older adults (≥ 60 years) in Zunyi City, China. A composite score for IC, covering the cognitive, sensory, locomotion, vitality, and psychological domains, was calculated using a weighting method. Data were collected on demographics, chronic conditions, and a battery of standardized assessments. These included measures of functional capacity (BADL, IADL), cognitive status (CMMS), physical performance (SPPB), nutritional risk (MNA-SF), depressive symptoms (GDS-15), and sensory function (vision, hearing).
Results: Overall, 87.56% of participants showed IC impairment. Latent class analysis identified three distinct patterns of IC impairment: a “Higher IC group”, a “Cognitive-locomotion domain-impaired mid-IC group”, and a “Locomotion-impaired predominantly low-IC group”, which comprised 23.2%, 59.96%, and 16.84% of the sample, respectively; age, BMI, BADL, IADL, sex, educational level, marital status, type of medical insurance, average household monthly income, drinking, annual physical examination, socialization, and exercise were all influential factors in the patterns of IC (P< 0.05).
Conclusion: The impairment of IC in older adults is group heterogeneous and affected by different factors; using IC as a multi-categorical variable is beneficial to refine the patterns of IC impairment; healthcare professionals should carry out early targeted interventions for different patterns of older adults to enhance their IC and promote healthy aging.
Keywords: older adults, intrinsic capacity, chronic diseases, latent class analysis
1Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People’s Republic of China; 2Faculty of Nursing, Zunyi Medical University, Zunyi, Guizhou, People’s Republic of China; 3College Office, Guizhou Nursing Vocational College, Guiyang, Guizhou, People’s Republic of China
Correspondence: Xiaoli Yuan, Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People’s Republic of China, Email 872428494@qq.com
Background: Due to the increase in life expectancy, the prevalence of older adults with chronic diseases is gradually increasing. Intrinsic capacity (IC) is an important indicator for assessing the physical condition of older adults. Older adults often experience a decline in IC before serious illness develops. Early screening for IC decline and timely interventions are essential. The goal of this study was to explore the patterns of IC impairment and their influencing factors in older adults with chronic diseases, and to provide a reference for the development of interventions to enhance their IC.
Methods: We conducted a cross-sectional study of 8427 older adults (≥ 60 years) in Zunyi City, China. A composite score for IC, covering the cognitive, sensory, locomotion, vitality, and psychological domains, was calculated using a weighting method. Data were collected on demographics, chronic conditions, and a battery of standardized assessments. These included measures of functional capacity (BADL, IADL), cognitive status (CMMS), physical performance (SPPB), nutritional risk (MNA-SF), depressive symptoms (GDS-15), and sensory function (vision, hearing).
Results: Overall, 87.56% of participants showed IC impairment. Latent class analysis identified three distinct patterns of IC impairment: a “Higher IC group”, a “Cognitive-locomotion domain-impaired mid-IC group”, and a “Locomotion-impaired predominantly low-IC group”, which comprised 23.2%, 59.96%, and 16.84% of the sample, respectively; age, BMI, BADL, IADL, sex, educational level, marital status, type of medical insurance, average household monthly income, drinking, annual physical examination, socialization, and exercise were all influential factors in the patterns of IC (P< 0.05).
Conclusion: The impairment of IC in older adults is group heterogeneous and affected by different factors; using IC as a multi-categorical variable is beneficial to refine the patterns of IC impairment; healthcare professionals should carry out early targeted interventions for different patterns of older adults to enhance their IC and promote healthy aging.
Keywords: older adults, intrinsic capacity, chronic diseases, latent class analysis