Full
Outline
To explore the latent classes and influencing factors of community nursing needs in elderly patients with type 2 diabetes mellitus (T2DM) in Chengdu, providing a reference for optimizing community diabetes care.
In 406 community-dwelling elderly patients with T2DM sampled by stratified convenience sampling, we administered general information questionnaire, community nursing needs scale, health literacy questionnaire and self-care ability scale. Latent class analysis identified need subtypes, and multinomial logistic regression identified their influencing factors.
Community nursing needs were moderate overall, categorized into three latent classes: low-level needs (52.2%), high multidimensional needs (37.7%), and high health promotion-low disease management and psychosocial support needs (10.1%). Age, monthly household income, complications, comorbidities, exercise, health literacy, and self-care ability were influencing factors for different subtypes (all P<0.05).
Three latent classes exist for community nursing needs in elderly T2DM patients, influenced by multiple factors. Community nursing services should implement targeted interventions based on need classification, rationally allocate elderly nursing resources, and improve the quality of diabetes management and patient satisfaction.
27
14
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
