Benefit finding in individuals undergoing maintenance hemodialysis in Shanghai: a latent profile analysis

Yang, Jie; Li, Yong-qi; Gong, Yan-lin; Yan, Hong-li; Chen, Jing; Liu, Ling-ling; Wu, Jing; Chu, Jing

doi:10.3389/fpsyg.2024.1292175

Cited by 2 publications

(1 citation statement)

References 66 publications

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“…In response to these limitations, Latent class model has been increasingly used in different areas of research, including education, sociology, and psychology[ 9 ]. Latent class model is a method that distinguishes individuals' potential characteristic classifications based on their responses to external measurement items.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis—a cross-sectional study

Wang,

Dong,

Zhu

et al. 2024

BMC Geriatr

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Background Social alienation refers to the state of feeling isolated, helpless, and unsatisfied due to maintaining distance from others or avoiding social interaction and activities. This phenomenon is caused by a lack of social skills, social anxiety, physical health problems, and other reasons. Older maintenance hemodialysis patients are exposed to a higher risk of social alienation. However, previous studies have been performed using the total score of the scale, which does not allow the identification of the characteristics of various patient groups with different levels of social alienation. In contrast, latent profile analysis can classify individuals into different categories based on continuous observational indicators, which improves accuracy and provides a more objective assessment by accounting for the uncertainty of variables. Given the concealed nature of social alienation and the differences in characteristics and treatment measures between different profiles, developing a predictive model for social alienation in older maintenance hemodialysis patients holds significance. Objective To explore the latent profile analysis of social alienation in older maintenance hemodialysis patients and to develop and validate a predictive model for social alienation in this population. Methods A total of 350 older maintenance hemodialysis patients were selected as the study subjects using convenience sampling. A cross-sectional survey was conducted using a general information questionnaire, the Generalized Alienation Scale, and the Self-Perceived Burden Scale. Based on the results of the Generalized Alienation Scale, a latent profile analysis was performed, followed by univariate analysis and multinomial logistic regression to develop a predictive model. The effectiveness of the predictive model was evaluated in terms of its authenticity, reliability, and predictive ability. Results Three hundred nineteen valid questionnaires were collected. The social alienation of older maintenance hemodialysis patients based on latent profile analysis were divided into three profiles, which were named the low/medium/high-symptom groups, comprising 21%, 38.9%, and 40.1% of participants, respectively. Based on male, monthly social activity hours, Age-Adjusted Charlson Comorbidity Index, dialysis age, and Self-Perceived Burden Scale, a predictive model of social alienation for older maintenance hemodialysis patients was developed, and the Hosmer–Lemeshow tests showed no statistical significance (P > 0.05). The model has high predictive efficiency in authenticity, reliability and predictability. Conclusion Older maintenance hemodialysis patients exhibited moderate to high levels of social alienation. The latent profile analysis based method was used to divide patients into low/medium/high-symptom profiles, and the predictive model demonstrates excellent authenticity, reliability, and predictability.

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Section: Introductionmentioning

confidence: 99%

Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis—a cross-sectional study

Wang,

Dong,

Zhu

et al. 2024

BMC Geriatr

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The Mediating Role of Benefit Finding in the Relationship Between Family Care and Self-Management Behaviors in Patients with Chronic Kidney Disease

Yang,

Zhou,

et al. 2024

Preprint

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This study aimed to investigate the mediating role of benefit finding on the relationship between family care and self-management behaviors in patients with chronic kidney disease (CKD) to inform improvements in patients' self-management behaviors. This survey was conducted from November 2023 to February 2024 with a cross-sectional design and convenience sampling among patients with chronic kidney disease in a tertiary care hospital in Chengdu City. Participants were prompted to complete a demographic questionnaire, the Family APGAR Index (APGAR), the Benefit Finding Scale (BFS), and the Chronic Disease Self-management Behavior Measuring Scale (CDSMBMS). The analysis of the data was carried out using SPSS 29.0 and AMOS Statistics 28.0. A total of 529 patients were enrolled in this research, with a majority of females (53.1%). The mean total score of CDSMBMS was 19.19 ± 7.54. Family care and benefit finding were significantly positively associated with self-management behaviors (all p < 0.01). In addition, benefit finding fully mediated the association between family care and self-management behaviors (β = 0.258, p = 0.000, 95% CI = 0.184–0.342). Our findings indicate that benefit finding plays a full mediator in the relationship between family care and self-management behaviors among patients with CKD. Thus, healthcare professionals should develop evidence-based interventions in future studies to enhance family care and benefit finding to promote self-management behaviors in people with CKD.

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Benefit finding in individuals undergoing maintenance hemodialysis in Shanghai: a latent profile analysis

Cited by 2 publications

References 66 publications

Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis—a cross-sectional study

Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis—a cross-sectional study

The Mediating Role of Benefit Finding in the Relationship Between Family Care and Self-Management Behaviors in Patients with Chronic Kidney Disease

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