Falling into a deep dark hole: Tongan people’s perceptions of being at risk of developing type 2 diabetes

Autor: Judith McCool, Julienne Faletau, Rosie Dobson, Vili Nosa, Maryann Heather
Rok vydání: 2020
Předmět:
Zdroj: Health Expectations, Vol 23, Iss 4, Pp 837-845 (2020)
Health Expectations : An International Journal of Public Participation in Health Care and Health Policy
DOI: 10.26181/5fc48965ce7aa
Popis: © 2020 The Authors Health Expectations published by John Wiley & Sons Ltd Background: Prediabetes is a precursor for type 2 diabetes. Compared to the New Zealand/European and other population groups (24.6%), the prevalence of prediabetes is higher within Pacific groups (29.8%). The diagnosis of prediabetes presents a potential opportunity to intervene to prevent progression to type 2 diabetes. Objective: To develop an understanding of how being ‘at risk’ of developing type 2 diabetes is perceived by Tongan people with prediabetes living in Auckland, New Zealand. Methods: The Kakala and Talanga Tongan methodologies underpinned this study. Twelve one-on-one, semi-structured interviews with Tongan patients who had prediabetes from a primary health-care clinic in Auckland, New Zealand, were conducted. Thematic analysis was used to identify recurrent themes from the data. Results: Participants were not aware of their prediabetes diagnosis, emotions associated with the diagnosis reflected fear and disbelief and a perception of imminent danger. Family history informed perceptions of the risk of developing type 2 diabetes. Participants could not differentiate prediabetes from type 2 diabetes, and recollections of being ‘back in the Islands’ of Tonga were consistent with healthy lifestyles. Conclusions: Prediabetes appeared to be poorly understood and was believed to be irreversible, which could discourage behaviour change, social and physical improvements in health. Appropriate culturally tailored messages to accompany a prediabetes diagnosis, including cause and management, would be beneficial for Pacific peoples.
Databáze: OpenAIRE