Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study
ObjectiveTo explore latent profiles of self-management behaviors in older adult patients with chronic diseases and identify the factors that influence different profiles, guiding targeted interventions.MethodsThis study used convenience sampling to recruit 536 older adult patients with chronic disea...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1506545/full |
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| author | Yu Jiao Shao Xiao Cui Duan Xue Jun Xu Hong Yan Guo Ze Yu Zhang Shuang Zhao Fu Zhi Wang Yong Xia Chen Qin Chen Shi Qing Zhang Xiu Mu Yang |
| author_facet | Yu Jiao Shao Xiao Cui Duan Xue Jun Xu Hong Yan Guo Ze Yu Zhang Shuang Zhao Fu Zhi Wang Yong Xia Chen Qin Chen Shi Qing Zhang Xiu Mu Yang |
| author_sort | Yu Jiao Shao |
| collection | DOAJ |
| description | ObjectiveTo explore latent profiles of self-management behaviors in older adult patients with chronic diseases and identify the factors that influence different profiles, guiding targeted interventions.MethodsThis study used convenience sampling to recruit 536 older adult patients with chronic diseases from three tertiary hospitals in Anhui Province between October 2023 and May 2024. Data were collected using a general information questionnaire, the age-adjusted Charlson Comorbidity Index (aCCI), the Chronic Disease Self-Management Behavior Scale, the Chronic Disease Management Self-Efficacy Scale, the Psychological Status Scale, the Digital Health Literacy Scale, and the Social Support Scale. Latent profile analysis was conducted using Mplus 8.3, and univariate and multivariate logistic regression analyses were performed using SPSS 26.0.ResultsThree profiles of self-management behaviors emerged: “Low Self-Management” (50.2%), “High Exercise and Cognitive Management” (8.6%), and “Moderate Management with Enhanced Communication” (41.2%). Multivariate logistic regression revealed that residence, aCCI, number of digital devices used, perceived usefulness of digital health information, digital health literacy, social support, chronic disease management self-efficacy, and psychological status were significant factors affecting self-management profiles (all p < 0.05).ConclusionSelf-management behaviors in older adult patients with chronic diseases were generally low, with substantial heterogeneity across profiles. Healthcare providers should tailor interventions based on the characteristics of each group to enhance self-management in digital health contexts. |
| format | Article |
| id | doaj-art-b9b18967611040179760d78a9fec76d7 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-b9b18967611040179760d78a9fec76d72025-02-05T07:32:22ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-02-011310.3389/fpubh.2025.15065451506545Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional studyYu Jiao Shao0Xiao Cui Duan1Xue Jun Xu2Hong Yan Guo3Ze Yu Zhang4Shuang Zhao5Fu Zhi Wang6Yong Xia Chen7Qin Chen8Shi Qing Zhang9Xiu Mu Yang10School of Nursing, Bengbu Medical University, Bengbu, Anhui, ChinaSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, ChinaSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, ChinaDepartment of General Practice, First Affiliated Hospital, Bengbu Medical University, Bengbu, Anhui, ChinaNursing Department, The 902nd Hospital of Joint Logistic Support Force of PLA, Bengbu, Anhui, ChinaNursing Department, First People's Hospital Affiliated with Bengbu Medical University, Bengbu, Anhui, ChinaSchool of Health Management, Bengbu Medical University, Bengbu, Anhui, ChinaNursing Department, First Affiliated Hospital, Bengbu Medical University, Anhui, ChinaNursing Department, Suzhou Hospital Affiliated with Anhui Medical University, Suzhou, Anhui, ChinaSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, ChinaSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, ChinaObjectiveTo explore latent profiles of self-management behaviors in older adult patients with chronic diseases and identify the factors that influence different profiles, guiding targeted interventions.MethodsThis study used convenience sampling to recruit 536 older adult patients with chronic diseases from three tertiary hospitals in Anhui Province between October 2023 and May 2024. Data were collected using a general information questionnaire, the age-adjusted Charlson Comorbidity Index (aCCI), the Chronic Disease Self-Management Behavior Scale, the Chronic Disease Management Self-Efficacy Scale, the Psychological Status Scale, the Digital Health Literacy Scale, and the Social Support Scale. Latent profile analysis was conducted using Mplus 8.3, and univariate and multivariate logistic regression analyses were performed using SPSS 26.0.ResultsThree profiles of self-management behaviors emerged: “Low Self-Management” (50.2%), “High Exercise and Cognitive Management” (8.6%), and “Moderate Management with Enhanced Communication” (41.2%). Multivariate logistic regression revealed that residence, aCCI, number of digital devices used, perceived usefulness of digital health information, digital health literacy, social support, chronic disease management self-efficacy, and psychological status were significant factors affecting self-management profiles (all p < 0.05).ConclusionSelf-management behaviors in older adult patients with chronic diseases were generally low, with substantial heterogeneity across profiles. Healthcare providers should tailor interventions based on the characteristics of each group to enhance self-management in digital health contexts.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1506545/fullolder adultchronic diseasesself-managementdeterminantslatent profile analysis |
| spellingShingle | Yu Jiao Shao Xiao Cui Duan Xue Jun Xu Hong Yan Guo Ze Yu Zhang Shuang Zhao Fu Zhi Wang Yong Xia Chen Qin Chen Shi Qing Zhang Xiu Mu Yang Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study Frontiers in Public Health older adult chronic diseases self-management determinants latent profile analysis |
| title | Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study |
| title_full | Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study |
| title_fullStr | Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study |
| title_full_unstemmed | Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study |
| title_short | Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study |
| title_sort | latent profile and determinants of self management behaviors among older adult patients with chronic diseases a cross sectional study |
| topic | older adult chronic diseases self-management determinants latent profile analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1506545/full |
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