Evidence map›Paper›PMID 38439021›Full record

ArticleBMC cardiovascular disorders2024

Age and healthy lifestyle behavior's disparities and similarities on knowledge of myocardial infarction symptoms and risk factors among public and outpatients in a resource-limited setting, cross-sectional study in greater Gaborone, Botswana.

Ookeditse Ookeditse, Kebadiretse K Ookeditse, Thusego R Motswakadikgwa, Gosiame Masilo, Yaone Bogatsu, Baleufi C Lekobe, Mosepele Mosepele, Henrik Schirmer, Stein H Johnsen

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 2 countries.

Ookeditse OokeditseDepartment of Physical Medicine and Rehabilitation, Trust Hospital in Vestfold, Kysthospitalet, Division of Neurorehabilitation Medicine, Tønsberg, Norway.
Kebadiretse K OokeditseNotodden Medical Office, Nottoden, Telemark County, Norway.
Thusego R MotswakadikgwaDepartment of Internal Medicine, Sidilega Private Hospital, Gaborone, Botswana.
Gosiame MasiloDepartment of Family Medicine, Larvik County Acute and Emergency Clinic, Larvik, Norway.
Yaone BogatsuFaculty of Medicine, University of Botswana, Gaborone, Botswana.
Baleufi C LekobeDepartment of Internal Medicine, Sidilega Private Hospital, Gaborone, Botswana.
Mosepele MosepeleFaculty of Medicine, University of Botswana, Gaborone, Botswana.
Henrik SchirmerUIT The Arctic University of Norway, Institute of Clinical Medicine, Tromsø, Norway.
Stein H JohnsenUIT The Arctic University of Norway, Institute of Clinical Medicine, Tromsø, Norway. stein.harald.johnsen@unn.no.
University of Botswana · BWAkershus University Hospital · NOSykehuset i Vestfold · NOUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this cross-sectional study from Botswana, we investigated knowledge of myocardial infarction (MI) symptoms and risk factors among the general public and outpatients with MI risk factors based on age and lifestyle behaviors, in addition to assessing associations with sociodemographic and MI risk factors.

methodOpen-ended questionnaires about 8 MI symptoms and 10 risk factors, were administered by research assistants to a representative selection of outpatients (n = 525) and the public (n = 2248). Weight and height were measured in all participants and BMI was calculated. Knowledge scores were compared between the two groups. We examined whether sociodemographic and MI risk factors had impact on the scores. Analyses were further adjusted for lifestyle behavior (smoking status, dietary status and physical activities).

resultsThe valid response rate was 97.9% comprising 97.8% for the public (n = 2199) and 98.1% for outpatients (n = 515). Public respondents (35.2 ± 12.3 years) were younger than outpatients (38.5 ± 12.6 years). The public comprised 56.9% females while outpatients 54.6%. In general, outpatients had higher knowledge of MI symptoms than the public, with mean scores ± SD of 3.49 ± 2.84 vs 2.80 ± 2.54. Outpatients also had higher knowledge score of MI risk factors than the public, with mean scores, 5.33 ± 3.22 vs 3.82 ± 3.07. For MI symptoms, outpatients were more aware than the public for chest pains among all ages, for arm pain/ numbness, neck/ jaw pain radiating to/ from chest, and feeling sick or looking pallor on the skin among those aged 35-49 years. Among both the public and outpatients, lower knowledge of both MI symptoms and risk factors was associated with primary education, not residing/working together, history of hypertension, no history of heart disease/stroke, and obesity. There were similarities and disparities on MI knowledge among respondents with various numbers of healthy lifestyle behaviours.

conclusionResults call for urgent educational campaigns on awareness and knowledge of MI and using strategies based on age and lifestyle behavior.

Indexed as

Myocardial InfarctionResource-Limited SettingsAdultBotswanaChest PainCross-Sectional StudiesFemaleHealthy LifestyleHumansLife StyleMaleMiddle AgedOutpatientsRisk FactorsAwarenessHealthy lifestyle behaviourHeart attackKnowledgeMyocardial infarctionOutpatientsPublicRisk factorsSymptoms

Identifiers

PMID38439021
PMCPMC10910839
OpenAlexW4392376986

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.