Health-Related Quality of Life among Women with Diabetes
Background
Women living with diabetes face unique biological, psychosocial, and socioeconomic challenges that significantly affect their health-related quality of life (HRQoL). Despite the growing global burden of diabetes, no comprehensive mapping of HRQoL research in this population has yet been conducted.
Objective
This study systematically maps global research trends, key contributors, thematic structures, and the intellectual development of HRQoL research among women with diabetes.
Methods
A bibliometric analysis was conducted using Scopus-indexed publications (n = 3,254) from 2000 to 2024. Performance analysis and science mapping techniques were applied using Biblioshiny (R package Bibliometrix).
Results
The field exhibited a compound annual growth rate of 10.71%, expanding from fewer than 20 publications in 2000 to more than 250 in 2024. Research output was concentrated in high-income countries, led by the United States, the United Kingdom, and China, with 25.6% of publications involving international collaboration. A small group of prolific authors shaped much of the discourse, while citation analysis highlighted influential but less prolific contributors. Thematic mapping identified patient-reported outcomes, comorbidities, aging, and psychosocial health as core themes, alongside emerging interest in digital health and socioeconomic determinants. However, geographic disparities persist, with limited contributions from low- and middle-income countries.
Conclusion
The field of HRQoL research among women with diabetes is rapidly expanding, multidisciplinary, and increasingly collaborative. Nonetheless, methodological limitations remain, including reliance on a single database (Scopus) and the predominance of cross-sectional designs. These gaps underscore the need for more diverse, longitudinal, and interventional research approaches.
- International Diabetes Federation. IDF Diabetes Atlas. 10th ed. IDF; 2023. Available from: https:// diabetesatlas.org [Last accessed on 2025 Mar 24].
- Kim Y, Seo D, Cho J, Choi S. Gender differences in association between diabetes mellitus and depressive symptoms in Korean adults: Results from a nationwide study. J Affect Disord. 2020;263:33-39.
- Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes. Lancet. 2017;389(10085):2239-2251. doi: 10.1016/S0140-6736(17)30058-2
- Kaplan RM, Ries AL. Quality of life: Concept and definition. COPD. 2007;4(3):263-271. doi: 10.1080/15412550701480356
- Wilson IB, Cleary PD. Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. JAMA. 1995;273(1):59-65.
- González JS, Fisher L, Polonsky WH. Depression in diabetes: Have we been missing something important? Diabetes Care. 2017;40(4):461-467.
- Hibbard JH, Greene J, Overton V. Patients with lower activation associated with higher costs; Delivery systems should know their patients’ ‘scores’. Health Aff (Millwood). 2012;32(2):216-222. doi: 10.1377/hlthaff.2012.1064
- McDonough P, Walters V. Gender and health: Reassessing patterns and explanations. Soc Sci Med. 2001;52(4):547-559. doi: 10.1016/ s0277-9536(00)00159-3
- Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: A call for greater clarity and precision. Diabet Med. 2013;31(7):764-772. doi: 10.1111/ dme.12428
- Carr ME. Diabetes mellitus: A hypercoagulable state. J Diabetes Complications. 2003;15(1):44-54. doi: 10.1016/s1056-8727(00)00132-x
- Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. J Bus Res. 2021;133:285- 296. doi: 10.1016/j.jbusres.2021.04.070
- Aria M, Cuccurullo C. Bibliometrix: An R-tool for comprehensive science mapping analysis. J Inform. 2017;11(4):959-975. doi: 10.1016/j.joi.2017.08.007
