Objectives: Delivered as part of the global assessment of diabetes in urban settings, this study explores different aspects of living with type 2 diabetes, for adults aged 18-40. Primary questions were as follows: (1) can we identify subgroups of adults under 40 years old sharing specific perspectives towards health, well-being and living with type 2 diabetes and (2) do these perspectives reveal specific barriers to and opportunities for better type 2 diabetes prevention and management and improved well-being?

Design: The study employed a mixed-method design with data collected through demographic questionnaires, Q-sort statement sorting exercises, focus groups discussions and individual interviews.

Setting: Primary care across Greater Manchester, UK.

Participants: Those aged between 18 and 40, with a confirmed type 2 diabetes diagnosis, and living in Greater Manchester were eligible to participate. A total of 46 people completed the Q-sort exercise and 43 were included in the final analysis. Of those, 29 (67%) identified as female and 32 (75%) as white. Most common time since diagnosis was between 5 and 10 years.

Results: The Q-sort analysis categorised 35 of the 43 participants (81%) into five subgroups. Based on average statement sorts for each subgroup, perspectives were characterised as: (1) stressed and calamity coping (n=13), (2) financially disadvantaged and poorly supported (n=12), (3) well-intentioned but not succeeding (n=5), (4) withdrawn and worried (n=2) and (5) young and stigmatised (n=3). Holistic analysis of our qualitative data also identified some common issues across these subgroups.

Conclusions: Adults under 40 with type 2 diabetes are not a homogeneous group, but fall into five identifiable subgroups. They also experience issues specific to this age group that make it particularly difficult for them to focus on their own health. More tailored support could help them to make the necessary lifestyle changes and manage their type 2 diabetes better.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514606PMC
http://dx.doi.org/10.1136/bmjopen-2022-068765DOI Listing

Publication Analysis

Top Keywords

type diabetes
28
living type
12
adults aged
8
aged 18-40
8
diabetes
8
diabetes urban
8
urban settings
8
barriers opportunities
8
opportunities better
8
health well-being
8

Similar Publications

Perivascular adipose tissue: a central player in the triad of diabetes, obesity, and cardiovascular health.

Cardiovasc Diabetol

December 2024

Institute of Physiology, iCBR, Faculty of Medicine, University of Coimbra, Subunit 1, polo 3, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal.

Perivascular adipose tissue (PVAT) is a dynamic tissue that affects vascular function and cardiovascular health. The connection between PVAT, the immune system, obesity, and vascular disease is complex and plays a pivotal role in the pathogenesis of vascular diseases such as atherosclerosis, hypertension, and vascular inflammation. In cardiometabolic diseases, PVAT becomes a significant source of proflammatory adipokines, leading to increased infiltration of immune cells, in cardiometabolic diseases, PVAT becomes a significant source of proinflammatory adipokines, leading to increased infiltration of immune cells, promoting vascular smooth muscle cell proliferation and migrationpromoting vascular smooth muscle cell proliferation and migration.

View Article and Find Full Text PDF

Background: Experimental and clinical studies have suggested that symbiotics might effectively manage type 2 diabetes mellitus (T2DM) by modulating the intestinal microbiota. However, these studies' limited sources, small sample sizes, and varied study designs have led to inconsistent outcomes regarding glycaemic control. This study aimed to investigate the effects of symbiotics on the anthropometric measures, glycaemic control, and lipid profiles of patients with T2DM.

View Article and Find Full Text PDF

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC Public Health

December 2024

Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

View Article and Find Full Text PDF

Status of type 1 diabetes mellitus prevention: promises and realities.

Endocrinol Diabetes Nutr (Engl Ed)

December 2024

Servicio de Endocrinologia i Nutrició, Hospital Universitari Arnau de Vilanova, Lleida, Spain; Institut de Recerca Biomèdica de Lleida (IRB Lleida), Universitat de Lleida, Lleida, Spain.

View Article and Find Full Text PDF

Introduction: The transition of adolescents from pediatric to adult hospitals is a planned and guided process that involves changes in the focus, style, and location of care. During this period, complications are common in those with type 1 diabetes mellitus (T1DM). The objective of this study was to understand the influence of a nurse-led structured therapeutic education program on maintaining glycemic control and emotional wellbeing in these adolescents.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!