Evidence map›Paper›PMID 36199439›Full record

ArticleTheScientificWorldJournal2022

Prevalence of Cyberchondria among Outpatients with Metabolic Syndrome in a Tertiary Care Hospital in Southern India.

Priya Pawar, Ashok Kamat, Gavishiddhayya Salimath, Kiran Rose Jacob, Rajesh Kamath

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Priya PawarDepartment of Psychiatric Nursing, KAHER Institute of Nursing Sciences, KLE University, Belgaum, India.
Ashok KamatDepartment of Psychiatric Nursing, KAHER Institute of Nursing Sciences, KLE University, Belgaum, India.
Gavishiddhayya SalimathDepartment of Child Health and Nursing, KAHER Institute of Nursing Sciences, KLE University, Belgaum, India.
Kiran Rose JacobPrasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.
Rajesh KamathPrasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0001-7268-9159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In today's world, Internet-based medical information plays a significant role in patient education. There are several accessible health-related websites. It has become common to search Internet before going for a medical consultation. The main objective of this study was to determine the prevalence of cyberchondriasis and its association with demographic variables. Methods: A cross-sectional study was carried out among metabolic syndrome patients attending the cardiology, endocrinology, and neurology outpatient departments of a tertiary care hospital in South India. The prevalence of cyberchondriasis and its constructs were measured using the cyberchondria severity scale (CSS). Inferential statistics revealed no statistically significant difference in the average CSS scores across sociodemographic variables. Spearman correlation was conducted to determine the relationship between the constructs. Results: A total of 379 participants with metabolic syndrome were included in the study. 42.5% of them were severely affected, and 28.0% were moderately affected by cyberchondriasis. Among the constructs studied, compulsion (85.7%), distress (91.8%), excessiveness (96.6%), and reassurance (76.1%) constructs had an impact on a greater number of study participants, compared to mistrust of medical professional construct (33.0%). Cyberchondriasis had a significant relationship with the history of myocardial infarction ( Conclusion: In India, cyberchondriasis is a growing public mental health issue. Awareness among the general population is necessary to minimize the possible outcomes of cyberchondriasis like anxiety and depression. Screening individuals for possible risk factors is recommended.

Indexed as

Metabolic SyndromeOutpatientsAnxietyCross-Sectional StudiesHumansIndiaInternetPrevalenceTertiary Care Centers

Identifiers

PMID36199439
PMCPMC9529447

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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.