Predictive Factors of Adaptation in New Cases of HIV/AIDS Infection in Bangkok

Authors

  • Pornchanok Boonchom Faculty of Public Health, Mahidol University
  • Arpaporn Powwattana Faculty of Public Health, Mahidol University
  • Lalita Kaewwilai Faculty of Public Health, Mahidol University

Keywords:

daptation, HIV/AIDS patients, roy's theory of adaptation, initial diagnosis

Abstract

Introduction: Bangkok has the highest prevalence of new HIV infections in Thailand, which affects the adjustment of new HIV/AIDS infected individuals. Roy's theory of adjustment was used as a conceptual framework to this study.                                                             

Research objectives: To study the predictive factors of adaptation among newly infected people with HIV/AIDS in Bangkok.                                                                               

Research methodology: This study was descriptive research. The sample consisted of 242 newly infected HIV/AIDS patients diagnosed within 6 months and living in Bangkok. Proportional random sampling of the population was used to collect data by using questionnaires. Data were analyzed using descriptive statistics, chi-square test, Pearson's product moment correlation coefficient, and stepwise multiple regression analysis.                       

Results: The majority of the sample had a high level of adaptation (M = 96.7, SD = 1.0), with the highest level of adaptation in terms of role work 83.10%. From the stepwise multiple regression analysis, it was found that social support, access to health services related to HIV infection, knowledge about diseases of HIV/AIDS patients, and depression could jointly predict adaptation of newly infected HIV/AIDS patients by 49.40% (R2 = .494).                       

Conclusions: Social support, access to HIV-related health services, knowledge about HIV/AIDS diseases, and depression can jointly predict adjustment among newly infected people with HIV/AIDS.                        

Implications: This study provided recommendations for planning the service system and served as basic information for agencies responsible for caring for patients infected with HIV/AIDS to care for and promote adaptation to plan for improving and developing the health promotion service system for caring for HIV/AIDS patients.                      

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Published

2025-08-26

How to Cite

1.
Boonchom P, Powwattana A, Kaewwilai L. Predictive Factors of Adaptation in New Cases of HIV/AIDS Infection in Bangkok. JBCN_Bangkok [internet]. 2025 Aug. 26 [cited 2025 Dec. 9];41(2):97-107. available from: https://he01.tci-thaijo.org/index.php/bcnbangkok/article/view/278023

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Research articles