Author:
Barman Papai,Das Milan,Verma Madhur
Abstract
Abstract
Introduction
Unmanaged Type 2 diabetes mellitus (T2DM) substantially contributes to the multi-morbidity of the elderly. Fewer research has concentrated on understanding the determinants of treatment utilization among older people, with even lesser concerns about missing data in outcome variables leading to biased estimates. The present study intends to evaluate the epidemiology of T2DM in the elderly in India and explore the socioeconomic and behavioral risk factors determining the treatment utilization among the elderly > 60 years in India by addressing the missing data to generate robust estimates.
Methods
The secondary analysis used data from the Longitudinal Ageing Study in India. The key dependent variables were the presence or absence of T2DM and treatment utilization. Descriptive statistics were used to understand the differences in the prevalence of diabetes and the utilization of treatment across various socio-demographic characteristics. Heckman’s statistical technique evaluated the predictors of T2DM and treatment utilization. Analysis was done using STATA software version 14.0.
Results
Almost 14% elderly reported to be living with T2DM. The odds of living with T2DM increased with non-working status, a sedentary lifestyle, and a higher BMI. A higher proportion of the elderly was on oral drugs than insulin and had been practicing lifestyle modifications to control their disease. The probability of developing T2DM was lower among females than males, but females had better odds for treatment utilization of health medication than males. Lastly, treatment utilization was significantly affected by socio-demographic characteristics like education and monthly per capita expenditure.
Conclusions
Treatment utilization by the elderly living with T2DM is significantly affected by socio-demographic characteristics. Keeping in mind the increasing proportion of the geriatric population in our country, it is pertinent to tailor-made counseling sessions for the elderly to improve medication utilization and adherence and realize our goals concerning non-communicable diseases.
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Reference39 articles.
1. Global report on diabetes [Internet]. [cited 2022 Oct 22]. Available from: https://www.who.int/publications/i/item/9789241565257
2. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019 Nov 1;157.
3. Wang T, Zhao Z, Wang G, Li Q, Xu Y, Li M, et al. Age-related disparities in diabetes risk attributable to modifiable risk factor profiles in chinese adults: a nationwide, population-based, cohort study. Lancet Heal Longev. 2021 Oct;2(10):e618–28.
4. Economic and Social Council Item 3. (a) of the provisional agenda* Items for discussion and decision: data and indicators for the 2030 Sustainable Development Agenda Report of the Inter-Agency and Expert Group on Sustainable Development Goal Indicators Note by the Secretary-General. 2015
5. Chaudhuri BR, Roy BN. National health policy. J Indian Med Assoc. 1979;72(6):149–51.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献