Evidence map›Paper›PMID 39280940›Full record

ArticleJournal of lifestyle medicine2024

The Indian Geriatrics Quality of Life Inventory Scale (IGQOLI): Development and Validation of a Scale to Evaluate the Quality of Life among Geriatric Population of India.

Dharmita Yogeshwar, Janvhi Singh, Ajeet Kumar Saharan, Shantanu Sharma, Anuja Choudhary, Manoj Kumar Mathur, Hari Narayan Saini, Drishti Sheokand

Abstract read
In one paragraph

Article in Journal of lifestyle medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Dharmita YogeshwarDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0000-0001-8847-4857
Janvhi SinghDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0000-0003-3588-8049
Ajeet Kumar SaharanDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0000-0003-4807-8715
Shantanu SharmaDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0000-0001-6517-4229
Anuja ChoudharyDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0009-0008-1402-1319
Manoj Kumar MathurDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0009-0003-5129-1178
Hari Narayan SainiDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0009-0000-5921-3527
Drishti SheokandDepartment of Physiotherapy, NIMS College of PT & OT, NIMS University, Jaipur, India.ORCID https://orcid.org/0000-0001-8247-0855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quality of life (QOL) refers to an individual's perception of their overall life and well-being. As people age, their QOL often deteriorates. Although various outcome measures exist to assess QOL, most are limited in scope and not specific to the Indian ethnicity of geriatrics. Therefore, a new outcome measure was developed and validated to more accurately evaluate the QOL for the geriatric population in India. Methods: The outcome measure was developed in three stages, followed by validation. Data was collected using multistage cluster sampling from 13 subdivisions of Jaipur district. A total of 423 participants were interviewed face-to-face. The collected data was analyzed using SPSS version 20, and the reliability and validity of the outcome measure were assessed. Results: The Indian Geriatrics Quality of Life Inventory (IGQOL) scale demonstrated excellent reliability, with a Cronbach's alpha (α) of 0.95 and an intraclass correlation coefficient of 0.93. The measure also exhibited excellent face and content validity, with a K value of 1. Correlation analysis revealed a significant relationship with other outcome measures, with a Pearson correlation coefficient value of > 7 and a p-value of < 0.05. Conclusion: The study concludes that the IGQOLI scale is a reliable and valid outcome measure for evaluating the QOL in the geriatric population in India.

Indexed as

GeriatricsIndiaLifestylePatient reported outcome measureQuality of life

Identifiers

PMID39280940
PMCPMC11391337

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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.