Evidence map›Paper›PMID 35571540›Full record

ArticleIndian journal of occupational and environmental medicine

Incidence and Risk for Hypertension among Regular Medical Examination Attendee Cohort in an Automobile Industry. A Cox- Regression Analysis Model.

Gautham Melur Sukumar, Vaishali Dagar, Kowshik Kupatira, Pradeep S Banandur, Gururaj Gopalkrishna

Open access · hybridAbstract read
In one paragraph

Article in Indian journal of occupational and environmental medicine. 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
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Gautham Melur SukumarDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, Karnataka, India.
Vaishali DagarDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, Karnataka, India.
Kowshik KupatiraChief Medical Officer, Occupational Health Unit, Autombile Industry Pvt Limited, Industry, Bidadi, Karnataka, India.
Pradeep S BanandurDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, Karnataka, India.
Gururaj GopalkrishnaDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, Karnataka, India.
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With nearly 1,612,505 industrial workers in Karnataka, controlling hypertension among them is necessary to reduce subsequent non-communicable diseases (NCDs). However, information on prevalence, incidence, and risk for hypertension among industrial workers is limited. Objectives: To estimate the prevalence, incidence proportion, incidence rate, and risk for hypertension among annual medical examination [AME] attendee cohort between 2010 and 2014 in an automobile industry in India. Materials and Methods: Longitudinal record analysis (cohort approach) of 640 regular AME attendees between 2010 and 2014 was performed to estimate incidence and incidence rates. Cox regression was conducted to estimate the risk for hypertension in the study period. Necessary permission and ethics clearance was obtained. Results and Conclusion: The prevalence of hypertension significantly increased from 8.8% in 2010 to 26.6% in 2014. The small increase in mean blood pressure (BP) resulted in large increases in the prevalence of hypertension. The incidence rate increased from 6.5 per 1000 person-months of observation in 2012 to 14.5 in 2014. No significant risk for hypertension was observed for the work department and type of plant. Results indicate a rising burden of hypertension with no specific risks associated with different work departments or types of plants. AME data is a utility value to monitor hypertension trends among employees and evaluate the effectiveness of worksite health programs to reduce hypertension.

Indexed as

Employeeshypertensionindustrynon-communicable diseasesrisk

Identifiers

PMID35571540
PMCPMC9106117
OpenAlexW4280598579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.