Evidence map›Paper›PMID 37711262›Full record

ArticleAging medicine (Milton (N.S.W))2023

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India.

Sunny Singhal, Sumitabh Singh, Gevesh Chand Dewangan, Sharmistha Dey, Joyita Banerjee, Jinkook Lee, Ashish Datt Upadhyaya, Peifeng Hu, Aparajit Ballav Dey

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Frailty and Sarcopenia in Elderly Diabetes Mellitus.Journal of clinical medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Geriatric frailty determinants in India.Aging medicine (Milton (N.S.W)) · 2023
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sunny SinghalDepartment of Geriatric Medicine Sawai Man Singh Medical College and Hospital Jaipur India.ORCID https://orcid.org/0000-0002-9977-4182
Sumitabh SinghDepartment of Internal Medicine UT Southwestern Medical Center Dallas Texas USA.
Gevesh Chand DewanganDepartment of General Medicine All India Institute of Medical Sciences Raipur India.
Sharmistha DeyDepartment of Biophysics All India Institute of Medical Sciences Delhi India.
Joyita BanerjeeDepartment of Geriatric Medicine All India Institute of Medical Sciences Delhi India.ORCID https://orcid.org/0000-0002-3432-9782
Jinkook LeeCenter for Economic and Social Research University of Southern California Los Angeles California USA.
Ashish Datt UpadhyayaDepartment of Biostatistics All India Institute of Medical Science Delhi India.
Peifeng HuDivision of Geriatric Medicine University of California, Los Angeles Los Angeles California USA.
Aparajit Ballav DeyDepartment of Geriatric Medicine All India Institute of Medical Sciences Delhi India.

Funding

Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
NIA NIH HHS R01 AG051125
6 · The paper itself

Abstract

Objective: To estimate frailty prevalence and its relationship with the socio-economic and regional factors and health care outcomes. Methods: In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants' residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization. Results: Among the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% Conclusion: There is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

Indexed as

low‐middle income countrysocial classSouth‐Asia

Identifiers

PMID37711262
PMCPMC10498834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.