Evidence map›Paper›PMID 22629029›Full record

ArticleJournal of cardiovascular disease research2012

The prevalence of hypertension and hypertension risk factors in a rural Indian community: A prospective door-to-door study.

Sushil K Bansal, Vartika Saxena, Sunil D Kandpal, William K Gray, Richard W Walker, Deepak Goel

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cardiovascular disease research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 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

6 authors at 1 institution in 1 country.

Sushil K BansalDepartment of Medicine, HIHT University and Himalayan Hospital, Swami Ram Nagar, P.O. Doiwala, Dehradun, Uttarakhand, India.
Vartika Saxena
Sunil D Kandpal
William K Gray
Richard W Walker
Deepak Goel
North Tyneside General Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify the prevalence and risk factors for hypertension in a rural community in north-east India. MATERIALS AND

methodsA door-to-door survey was conducted amongst all residents of a village in Uttarakhand province. All residents were interviewed and data were was relating to the demographics of the individuals, dietary habits, alcohol consumption, tobacco use, psychosocial stress, past medical history and drug history. Blood pressure (BP) and anthropometric data was recorded and blood samples taken.

resultsWe identified 1348 people living in the village. Assessment was carried out on all those aged 15 years and over (n=968, 71.8%). Hypertension, defined as BP ≥ 140/90 mmHg or cases of known hypertensive on medication, were present in 30.9% (95% CI 25.6 to 36.0) of males and 27.8% (95% CI 23.4 to 32.2) of females. Standardisation to the World Health Organization (WHO) world population gives an overall prevalence of 32.3% (95% confidence interval, CI 28.9 to 35.8). Increasing age and higher body mass index (BMI) were independent predictors of hypertension in both sexes, with psychosocial stress an additional independent predictor in males.

conclusionsRates of hypertension in the rural community under study are similar to those seen in high-income countries and in urban India. With the exception of age, all the risk factors identified were potentially modifiable.

Indexed as

Cerebrovascular diseaseepidemiologyglobal healthhypertensionIndia

Identifiers

PMID22629029
PMCPMC3354454
OpenAlexW2089711282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.