Evidence map›Paper›PMID 37159760›Full record

ArticleCureus2023

Morbidity Pattern Among Elderly in an Urban Area of Burla, Odisha.

Pranab R Sahu, Subrat K Pradhan, Aruna Munda, Satish C Padhan, Ritesh R Behera, Linendra K Sahu, Sadhu C Panda

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Pranab R SahuCommunity Medicine, Veer Surendra Sai Institute of Medical Sciences and Research, Sambalpur, IND.
Subrat K PradhanCommunity Medicine, Veer Surendra Sai Institute of Medical Sciences and Research, Sambalpur, IND.
Aruna MundaCommunity Medicine, Veer Surendra Sai Institute of Medical Sciences and Research, Sambalpur, IND.
Satish C PadhanCommunity Medicine, Veer Surendra Sai Institute of Medical Science and Research, Sambalpur, IND.
Ritesh R BeheraCommunity Medicine, Veer Surendra Sai Institute of Medical Sciences and Research, Sambalpur, IND.
Linendra K SahuCommunity Medicine, Veer Surendra Sai Institute of Medical Science and Research, Sambalpur, IND.
Sadhu C PandaCommunity Medicine, Veer Surendra Sai Institute of Medical Science and Research, Sambalpur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPopulation aging is an inevitable demographic reality that is associated with improvements in the health and medical care system. With longevity and declining fertility rates, the population of older persons is growing faster than the general population globally. The elderly population is more prone to various kinds of morbidity due to decreasing immunity and the risk of advancing age.

objectiveTo describe the morbidity pattern of the elderly in an urban area of Burla. MATERIALS AND

methodsCommunity-based cross-sectional study was carried out for one year from 1st July 2021 to 30th June 2022. A total of 385 individuals aged 60 years and above residing in Burla were included in the study. Patient-wise data collection was done by a predesigned, pretested structured questionnaire. The chi-square test for categorical variables at a 95% confidence interval and significance set at 0.05 were used as measures of association in the analysis of factors associated with morbidity.

resultThe most common health problem involved was musculoskeletal (68.6%), followed by cardiovascular (57.1%), eye (47.3%), endocrine (25.2%), respiratory (21.3%), digestive (20.5%), skin (16.1%), ear (15.3%), general and unspecified health problems (30.7%), and urological (5.5%) and 4.5% had neurological problems.

conclusionElderly population has a high frequency of numerous morbidities, so it is important to educate the elderly population about prevalent age-related health issues as well as preventive care.

Indexed as

cross sectional studygeriatricmorbidity patternodishaurban area

Identifiers

PMID37159760
PMCPMC10163363

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