Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6287
Title: Structural equation models of health behaviour, psychological well-being, symptom severity and quality of life in abdominal bloating
Authors: Abdullah, N. 
Kueh, Yee Cheng 
Kuan, Garry 
Wong, Mung Seong 
Tee, Vincent 
Tengku Alang, Tengku Ahmad Iskandar 
Hamid, Nurhazwani 
Lee, Yeong Yeh 
Keywords: Bloating;Health belief;Health promoting behaviour
Issue Date: Apr-2024
Publisher: PeerJ Inc.
Journal: PeerJ 
Abstract: 
Background: The objective of this study was to investigate the inter-relationship between psychosocial variables and their impact on symptom severity and quality of life (QoL) concerning abdominal bloating. Methods: The study adopted a cross-sectional design with purposive sampling. Participants who consented and met the criteria for bloating based on the Rome IV classification completed designated questionnaires. Independent variables comprised health beliefs, intentions, health-promoting behaviors, social support, depression, and anxiety, while dependent variables included bloating severity (general and within 24 h) and QoL. Structural Equation Modeling (SEM) was conducted utilizing Mplus 8.0 to analyze the relationships between these factors. Results: A total of 323 participants, with a mean age of 27.69 years (SD = 11.50), predominantly females (64.7%), volunteered to participate in the study. The final SEM model exhibited good fit based on various indices (CFI = 0.922, SRMR = 0.064, RMSEA (95% CI) = 0.048 (0.041–0.054), p-value = 0.714), with 15 significant path relationships identified. The model explained 12.0% of the variance in severity within 24 h, 6% in general severity, and 53.8% in QoL. Conclusion: The findings underscore the significant influence of health beliefs, intentions, behaviors, social support, depression, and anxiety on symptom severity and QoL in individuals experiencing abdominal bloating.
Description: 
Scopus
URI: http://hdl.handle.net/123456789/6287
ISSN: 21678359
DOI: 10.7717/peerj.17265
Appears in Collections:Faculty of Data Science and Computing - Journal (Scopus/WOS)

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