Evidence map›Paper›PMID 41531618›Full record

ArticleCureus2025

An Exploratory Cross-Sectional Study on Cardiac Rhythm Disorders in Women Working in IT Sector and Non-IT Sector Establishments in Hyderabad Using Continuous Ambulatory Wireless Cardiac Monitoring.

Sudha Bala, Rajiv Kumar Bandaru, Sai Revanth Aashray Surapaneni, Hesha Reddy Abaka, Surendra Babu Darivemula, Devidas Tondare, Mehdi Mirza

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. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sudha BalaDepartment of Community Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.
Rajiv Kumar BandaruDepartment of General Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.
Sai Revanth Aashray SurapaneniDepartment of Community Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.
Hesha Reddy AbakaDepartment of Community Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.
Surendra Babu DarivemulaDepartment of Community Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.
Devidas TondareDepartment of Community Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.
Mehdi MirzaDepartment of Pharmacology, Employees' State Insurance Corporation (ESIC) Medical College and Hospital, Hyderabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening for cardiac arrhythmias provides an advantage in care by enabling the discovery of the causes and planning of prevention strategies through digital transformation.

objectivesThis study aimed to screen women working in the information and technology (IT) and non-IT sectors who face stress from work and home responsibilities for cardiac rhythm disturbances using ambulatory monitoring and to assess several associated risk factors. METHODOLOGY: The study was conducted to screen women for cardiac rhythm disorders. The stress levels of all participants were assessed using a questionnaire. Differences in parameters such as heart rate variability, frequency-corrected QT (QTc), and heart rate between women in the IT sector and those in non-IT sectors were compared.

resultsIn the IT sector, 109 women were screened, and 4.58% were found to have cardiac arrhythmias. Specifically, two cases of second-degree AV block (type 1), two cases of atrial tachycardia in the 21 to 30-year-old age group, and one case of sinus pause were identified. In comparison, among 109 women from the non-IT sector, only 2.75% had arrhythmias, including one case of atrial fibrillation and two cases of second-degree AV block (type 2) in the age group of 51 to 58. Except for the minimum heart rate, all other parameters such as heart rate variability, QTc prolongation, and maximum heart rate were elevated among women in the IT sector, indicating a potential stress factor.

conclusionThis technology transformation implies the need for simpler screening tools to nurture new preventive lifestyle strategies.

Indexed as

cardiac rhythm disordersdigital transformationindian working womenscreeningstress

Identifiers

PMID41531618
PMCPMC12794428

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LicenceCC BY
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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.