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Identifying subtypes of HIV/AIDS-related symptoms in China using latent profile analysis and symptom networks.
- Source :
-
Scientific Reports . 8/2/2022, Vol. 12 Issue 1, p1-11. 11p. - Publication Year :
- 2022
-
Abstract
- The identification of subgroups of people living with HIV in China based on the severity of symptom clusters and individual symptoms is crucial to determine group-specific symptom management strategies. Participants reported 27 highly prevalent HIV/AIDS-related symptoms. Latent profile analysis based on symptom severity was used to identify person-centered subtypes of HIV/AIDS-related symptoms. Symptom networks were compared among subgroups identified by latent profile analysis. A total of 2927 eligible people living with HIV (PWH) were included in the analysis. Five profiles were identified: "Profile 1: all low symptom severity" (n2 = 2094, 71.54%), "Profile 2: medium symptom severity with syndemic conditions" (n3 = 109, 3.72%), "Profile 3: medium symptom severity with low functional status" (n1 = 165, 5.64%), "Profile 4: medium symptom severity in transitional period" (n4 = 448, 15.31%), and "Profile 5: all high symptom severity" (n5 = 111, 3.79%). Except for Profile 1 and Profile 5, the symptom severity was similar among the other three profiles. Profiles 1 (2.09 ± 0.52) and 4 (2.44 ± 0.66) had the smallest ∑s values, and Profiles 2 (4.38 ± 1.40) and 5 (4.39 ± 1.22) had the largest ∑s values. Our study demonstrates the need for health care professionals to provide PWH with group-specific symptom management interventions based on five profiles to improve their physical and psychological well-being. Future studies should be conducted in different contexts using different symptom checklists to further validate our results. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MEDICAL personnel
*HIV
*HIV-positive persons
*SYMPTOMS
*PSYCHOLOGICAL well-being
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 12
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Scientific Reports
- Publication Type :
- Academic Journal
- Accession number :
- 158312607
- Full Text :
- https://doi.org/10.1038/s41598-022-17720-z