Evidence map›Paper›PMID 39547572›Full record

ArticleIndian heart journal

Community-level knowledge, attitudes, and practices regarding cardiovascular diseases and modifiable risk factors in India.

Kavita Singh, Dimple Kondal, Deepa Mohan, Mareesha Gandral, Sheril Rajan, Viswanathan Mohan, Mohammed K Ali, Km Venkat Narayan, Mark D Huffman, Dorairaj Prabhakaran and 1 more

Abstract read
In one paragraph

Article in Indian heart journal. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Kavita SinghPublic Health Foundation of India, New Delhi, India; Heidelberg Institute of Global Health, Heidelberg University, Germany; Centre for Chronic Disease Control, New Delhi, India. Electronic address: kavita@ccdcindia.org.
Dimple KondalCentre for Chronic Disease Control, New Delhi, India. Electronic address: dimple@ccdcindia.org.
Deepa MohanMadras Diabetes Research Foundation, Chennai, India. Electronic address: deepa.mohan1@gmail.com.
Mareesha GandralPublic Health Foundation of India, New Delhi, India. Electronic address: mareesha.gandral@phfi.org.
Sheril RajanCentre for Chronic Disease Control, New Delhi, India. Electronic address: Sheril@ccdcindia.org.
Viswanathan MohanMadras Diabetes Research Foundation, Chennai, India. Electronic address: drmohans@diabetes.ind.in.
Mohammed K AliEmory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA. Electronic address: mkali@emory.edu.
Km Venkat NarayanEmory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA. Electronic address: knaraya@emory.edu.
Mark D HuffmanWashington University School of Medicine, St. Louis, USA; Feinberg School of Medicine, Northwestern University, Chicago, USA; The George Institute for Global Health, University of New South Wales, Australia. Electronic address: m.huffman@wustl.edu.
Dorairaj PrabhakaranPublic Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India. Electronic address: dprabhakaran@ccdcindia.org.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India. Electronic address: nikhil_tandon@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of knowledge, attitudes, and practices regarding cardiovascular diseases (CVD) and cardiovascular risk factors (CVRF) is critical to inform CVD prevention strategies, but limited community-level data exist from developing countries.

objectiveTo assess the knowledge, attitudes, and practices regarding CVD and CVRF and acceptability of non-physician health workers and text-message based reminders to guide CVD prevention strategies in India.

methodsWe conducted a telephone-based survey nested in the on-going Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) cohort in Delhi and Chennai, India between January 2021 to February 2021. We randomly selected people with CVRF, but no established CVD and those with existing CVD from the CARRS cohort (n = 502 participants) and assessed their 1) knowledge of CVD symptoms and risk factors, 2) attitude towards non-physician health workers (NPHW) facilitated care and text-messages for healthy lifestyle, and 3) practices regarding monitoring of CVRF. We performed logistic regression analyses to investigate the factors associated with KAP.

resultsWe interviewed 502 participants (283 with CVRF and 219 with CVD); 45.8 % were female, and mean age (SD) was 48.1 (11.2) years. The knowledge of heart attack symptoms, stroke symptoms, and CVRF (>75 % correct answers) were: 12.9 %, 20.7 %, and 17.3 %, respectively. Individuals with CVRF had 2.5 times lower knowledge of CVD symptoms compared to those with existing CVD. Acceptability of NPHW-facilitated care and text-messages for healthy lifestyle was 60 % and 84 %, respectively.

conclusionThe knowledge of CVD symptoms and risk factors is below optimal levels, particularly among individuals at high risk of CVD, unskilled workers, those with lower levels of education and income. Innovative use of NPHW along with mHealth tools could potentially offer solutions to reduce the burden of CVD.

Indexed as

Cardiovascular DiseasesHealth Knowledge, Attitudes, PracticeAdultFemaleHumansIndiaMaleMiddle AgedRisk FactorsSurveys and QuestionnairesCardiovascular diseaseIndiaKnowledgePracticesRisk factors

Identifiers

PMID39547572
PMCPMC11705608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.