Evidence map›Paper›PMID 37059974›Full record

ArticleBMC public health2023

Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model.

Papai Barman, Milan Das, Madhur Verma

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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

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19citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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  19. Risk Factors for Tuberculosis in Elderly: Prevalence and Population-attributable Risk.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Papai BarmanInternational Institute for Population Sciences (IIPS), Mumbai, India.
Milan DasInternational Institute for Population Sciences (IIPS), Mumbai, India.
Madhur VermaDepartment of community & Family medicine, All India institute of medical sciences Bathinda, Bathinda, India. drmadhurverma@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUnmanaged 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.

methodsThe 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.

resultsAlmost 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.

conclusionsTreatment 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.

Indexed as

Diabetes Mellitus, Type 2AgedAgingFemaleHumansIndiaMaleMorbidityPrevalenceRisk FactorsDiabetes mellitusDrug adherenceGeriatricsHealth equityTreatment utilization

Identifiers

PMID37059974
PMCPMC10103042

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