Evidence map›Paper›PMID 40062131›Full record

ArticleCureus2025

Multimorbidity Patterns and Quality of Life of Elderly Individuals Attending the Center for Health and Wellbeing at a Tertiary Care Hospital: An Observational Study.

Praveen Ganganahalli, Mallikarjun Yadavannavar, Rekha Udgiri

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Praveen GanganahalliCommunity Medicine, BLDE (Deemed to be University) Shri. B. M. Patil Medical College Hospital and Research Center, Vijayapura, IND.
Mallikarjun YadavannavarCommunity Medicine, BLDE (Deemed to be University) Shri. B. M. Patil Medical College Hospital and Research Center, Vijayapura, IND.
Rekha UdgiriCommunity Medicine, BLDE (Deemed to be University) Shri. B. M. Patil Medical College Hospital and Research Center, Vijayapura, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough old age is inevitable, it can be delayed and maintained in good health by researching the causes of low quality of life (QOL) and mitigating them through medical intervention or counseling. Both objective and subjective aspects are frequently used to assess QOL.

objectiveThis study aims to analyze morbidity patterns and QOL among elderly patients visiting the Centre for Health and Wellbeing, a tertiary care hospital. METHODOLOGY: An observational study was conducted on elderly patients over 60 undergoing general health screenings at the Department of Community Medicine's Centre for Health and Wellbeing. The WHO Quality of Life - Brief was used to assess the morbidity patterns and QOL of elderly individuals. OBSERVATIONS: The gender-wise differences in each category revealed lower scores among males than females, but the difference was not statistically significant. The physical domain had a higher mean score (50.5 ± 15.5) than the psychological, social, and environmental domains. Type 2 diabetes, musculoskeletal disorders, and genitourinary disorders were the most prevalent morbidities, affecting 50% of the elderly population.

conclusionThe relationship between multimorbidity and QOL in the elderly emphasizes the significant impact of multiple health conditions on overall wellbeing, leading to a poorer QOL. These findings highlight the necessity of targeted interventions that address the functional, social, and psychological aspects of medical management and care.

Indexed as

elderlymultimorbidity patternold agequality of lifewellbeing

Identifiers

PMID40062131
PMCPMC11890165

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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.