Evidence map›Paper›PMID 28629411›Full record

ArticleBMC complementary and alternative medicine2017

Prevalence and predictors of complementary and alternative medicine use among people with coronary heart disease or at risk for this in the sixth Tromsø study: a comparative analysis using protection motivation theory.

Agnete E Kristoffersen, Fuschia M Sirois, Trine Stub, Anne Helen Hansen

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC complementary and alternative medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Acupoint application therapies for essential hypertension: a systematic review and Meta-analysis.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2022
    Pooled it
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  14. In Vitro Antiatherothrombotic Effects of Extracts fromEvidence-based complementary and alternative medicine : eCAM · 2019
    Article
  15. Article
  16. Prevalence, Pattern, and Predictors of Ever Use of Complementary and Alternative Medicine in Diabetes and Hypertension: A Cross-Sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

4 authors at 3 institutions in 2 countries.

Agnete E KristoffersenThe National Research Center in Complementary and Alternative Medicine (NAFKAM), Faculty of Health Sciences, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway. agnete.kristoffersen@uit.no.
Fuschia M SiroisDepartment of Psychology, University of Sheffield, Sheffield, UK.
Trine StubThe National Research Center in Complementary and Alternative Medicine (NAFKAM), Faculty of Health Sciences, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Anne Helen HansenUniversity Hospital of North Norway and Faculty of Health Sciences, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
UiT The Arctic University of Norway · NOUniversity Hospital of North Norway · NOUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEngagement in healthy lifestyle behaviors, such as healthy diet and regular physical activity, are known to reduce the risk of developing coronary heart disease (CHD). Complementary and alternative medicine (CAM) is known to be associated with having a healthy lifestyle. The primary aim of this study was to examine the prevalence and predictors of CAM use in CHD patients, and in those without CHD but at risk for developing CHD, using Protection Motivation Theory (PMT) as a guiding conceptual framework.

methodQuestionnaire data were collected from 12,981 adult participants in the cross-sectional sixth Tromsø Study (2007-8). Eligible for analyses were 11,103 participants who reported whether they had used CAM or not. Of those, 830 participants reported to have or have had CHD (CHD group), 4830 reported to have parents, children or siblings with CHD (no CHD but family risk), while 5443 reported no CHD nor family risk of CHD. We first compared the patterns of CAM use in each group, and then examined the PMT predictors of CAM use. Health vulnerability from the threat appraisal process of PMT was assessed by self-rated health and expectations for future health. Response efficacy from the coping appraisal process of PMT was assessed as preventive health beliefs and health behavior frequency.

resultsUse of CAM was most commonly seen in people with no CHD themselves, but family risk of developing CHD (35.8%), compared to people already diagnosed with CHD (30.2%) and people with no CHD nor family risk (32.1%). All four of the PMT factors; self-rated health, expectations for future health, preventive health beliefs, and the health behavior index - were predictors for CAM use in the no CHD but family risk group.

conclusionThese findings suggest that people use CAM in response to a perceived risk of developing CHD, and to prevent disease and to maintain health.

Indexed as

AdultAgedAged, 80 and overComplementary TherapiesCoronary DiseaseCross-Sectional StudiesFemaleHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedMotivationNorwaySurveys and QuestionnairesCAMCardiovascular diseaseComplementary and alternative medicineCoronary heart diseaseHealth care utilizationNorwayPMTProtection motivation theory

Identifiers

PMID28629411
PMCPMC5477262
OpenAlexW2675663123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.