Evidence map›Paper›PMID 38333166›Full record

ArticleJournal of education and health promotion2023

Prevalence of depression among clients with diabetes and hypertension in selected hospital at Mangaluru, India.

Bizo Vadeo, Sukesh Shetty, M Nalini

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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 at 1 institution in 1 country.

Bizo VadeoDepartment of Mental Health Nursing, Nitte Usha Institute of Nursing Sciences, Nitte (Deemed to be University), Mangaluru, Karnataka, India.
Sukesh ShettyDepartment of Mental Health Nursing, Nitte Usha Institute of Nursing Sciences, Nitte (Deemed to be University), Mangaluru, Karnataka, India.
M NaliniDepartment of Mental Health Nursing, Nitte Usha Institute of Nursing Sciences, Nitte (Deemed to be University), Mangaluru, Karnataka, India.
Nitte University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-communicable diseases are lifestyle diseases that are increasing throughout the world. They are responsible for 71% of death worldwide, among which 16 million people die prematurely or before reaching the age of 70 years. Among the non-communicable diseases, diabetes and hypertension are the most common. The study aimed to find the prevalence of depression among diabetes and hypertensive clients. MATERIALS AND

methodsA descriptive cross-sectional study was conducted among 370 subjects diagnosed with diabetes mellitus, hypertension, and both in Justice K.S Hegde Charitable Hospital at Mangaluru. A purposive sampling technique was adopted to select the subjects. Patient health questionnaire-9 (PHQ-9) was used to find the depressive symptoms among the client. The statistical analysis was conducted using SPSS version 20 (Armonk, NY: IBM Corp.); descriptive (frequency and percentage) and inferential (one-way analysis of variance (ANOVA)) statistics were used to interpret the data.

resultsOut of 370 subjects, 41% had no depression, and most 59% had mild to severe levels of depression. Among clients diagnosed with diabetes mellitus (

conclusionsThe study shows that many diabetes and hypertensive patients attending the outpatient departments of the hospital experience depression. So, it is crucial to identify the depressive symptoms early and take appropriate measures to prevent complications.

Indexed as

Depressiondiabetic mellitushypertension

Identifiers

PMID38333166
PMCPMC10852190
OpenAlexW4389193959

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.