Evidence map›Paper›PMID 35345072›Full record

ArticleThe Indian journal of medical research2021

Prevalence, pattern & correlates of hypertension among tribal population of Kashmir, India: A cross-sectional study.

Mohd Ashraf Ganie, Tabassum Parvez, S Arun Viswanath, Vishnubhatla Sreenivas, Lakshmy Ramakrishnan, Sobia Nisar, Tajali Sahar, Irfan Robbani, Shiekh Abid Ali, Aafia Rashid and 1 more

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Prevalence and Associated Factors of Hypertension among Adults in a Rural Block of Haryana.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The growing risk of hypertension in India's Scheduled tribes.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  10. Article
  11. Addressing hypertension among tribal people of India.The Indian journal of medical research · 2021
    Article
  12. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Mohd Ashraf GanieDepartment of Endocrinology, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.
Tabassum ParvezObstetrics & Gynaecology, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.
S Arun ViswanathDepartment of Endocrinology, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.
Vishnubhatla SreenivasDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Lakshmy RamakrishnanDepartment of Cardiac Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Sobia NisarDepartment of Medicine, Government Medical College & Associated Hospital, Srinagar, Jammu & Kashmir, India.
Tajali SaharDepartment of Clinical Research Laboratory, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.
Irfan RobbaniDepartment of Radio Diagnosis, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.
Shiekh Abid AliDepartment of Clinical Research Laboratory, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.
Aafia RashidDepartment of Cardiac Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Ishfaq Ahmad WaniDepartment of Clinical Research Laboratory, Sher-I-Kashmir Institute of Medical Science, Srinagar, Jammu & Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: The prevalence of hypertension is increasing among all ethnic groups across the globe with only a handful of studies from India addressing the prevalence of hypertension among tribal population. In view of paucity of data, this study was aimed at estimating the prevalence of hypertension and associated risk factors among tribal population of Kashmir, India. Methods: This cross-sectional survey included 6808 tribals aged >20 yr (5695 Gujjars and 1113 Bakarwals) from five randomly selected districts of Kashmir. Modified WHO-STEPS surveillance questionnaire was used to collect relevant data. Hypertension was defined by Joint National Committee on Prevention, Detection, Evaluation and Treatment of Hypertension (JNC 8) criteria. Results: The mean age of our study participants was 43.12 ± 15.69 years. Overall prevalence of hypertension [95% confidence interval (CI)] was 41.4% (39.9-42.9%) [men=46.7% (44.1-49.1%); women=37.9% (35.9-39.9%)]. The prevalence of prehypertension (95% CI) in our study was 35 per cent (33.7-36.6%). Higher age [adjusted odds ratio (OR) (95% CI): >70 yr-2.2 (1.9-2.4)], passive smoking [OR-1.3 (1.1-1.5)], family history of hypertension [OR-1.6 (1.4-1.7)] and obesity [OR-1.3 (1.1-1.6)] were significantly associated with hypertension. A weak positive correlation was observed between BP (systolic/diastolic) with haemoglobin, red blood cell count and haematocrit (P<0.05). Interpretation & conclusions: Gujjar and Bakarwal tribes of Jammu and Kashmir showed high prevalence of hypertension. Hence, urgent policies and reforms are needed to tackle this silent epidemic and further studies focusing on community-based interventions are required.

Indexed as

HypertensionPrehypertensionAdultCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedPrevalenceAgehypertensionKashmirprevalencetribal population

Identifiers

PMID35345072
PMCPMC9131797

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.