Evidence map›Paper›PMID 41160547›Full record

ArticlePloS one2025

Hypertension screening across different age groups in Indian adults: Evidence from nationally representative cross-sectional data.

Prakash Mathiyalagen, Anand Rajagopal, Kavita Vasudevan, Sridevi Gnanasekaran, Sharath Burugina Nagaraja, Jayanta Bora, Sonu Goel

Abstract read
In one paragraph

Article in PloS one, 2025. 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
–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

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.

  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

7 authors.

Prakash MathiyalagenDept of Community Medicine, IGMC&RI, Puducherry, India.
Anand RajagopalDept of Community Medicine, IGMC&RI, Puducherry, India.
Kavita VasudevanDept of Community Medicine, IGMC&RI, Puducherry, India.ORCID https://orcid.org/0000-0001-7839-4984
Sridevi GnanasekaranDept of Community Medicine, IGMC&RI, Puducherry, India.
Sharath Burugina NagarajaESIC Medical College and PGIMSR, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-6599-5753
Jayanta BoraVART Consulting Pvt, Ltd, Delhi-NCR & Mumbai, India.
Sonu GoelPostgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.ORCID https://orcid.org/0000-0001-5231-7083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a significant public health concern globally and in India, contributing substantially to the burden of cardiovascular diseases. Early detection through appropriate screening practices is critical to mitigating its long-term impact. However, there is limited evidence on age-specific screening practices for hypertension in the Indian population. This study aims to assess hypertension screening practices across different age groups and identify associated socio-demographic, behavioral, and physiological factors to inform effective public health strategies.

methodsA cross-sectional study was conducted using data from the fifth National Family Health Survey (NFHS-5), which included 1,01,839 men and 7,24,115 women aged 15 years and above. Hypertension was defined based on systolic blood pressure (SBP) ≥140 mmHg and/or diastolic blood pressure (DBP) ≥90 mmHg. Multivariate logistic regression was used to analyze associations between hypertension and various socio-demographic and behavioral factors. Receiver Operating Characteristic (ROC) analysis determined the optimal age for initiating hypertension screening.

resultsThe prevalence of hypertension increased linearly with age, with a significant rise observed in the 35-39 years age group. Factors significantly associated with hypertension included marital status, religion, education, wealth index, alcohol consumption, and waist-hip ratio. ROC analysis identified 35 years as the optimal age for initiating routine hypertension screening in both men and women. Screening in this age group showed balanced sensitivity and specificity for early detection of hypertension.

conclusionsThis study highlights the need to revise hypertension screening policies in India, recommending initiation at 35 years to improve early detection and management. Addressing socio-demographic and lifestyle determinants through targeted interventions is critical to achieving national hypertension control goals.

Indexed as

HypertensionMass ScreeningAdolescentAdultAgedAge FactorsBlood PressureCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedPrevalenceROC CurveYoung Adult

Identifiers

PMID41160547
PMCPMC12571314

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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.