Evidence map›Paper›PMID 38824496›Full record

ArticleBMC cancer2024

Cluster analysis of cancer knowledge, attitudes and behaviors in the Moroccan population.

Mohamed Khalis, Imad Elbadisy, Oumnia Bouaddi, Amy Luo, Amina Bendriouich, Badr Addahri, Hafida Charaka, Mohamed Chahboune, Jérôme Foucaud, Abdallah Badou and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 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
–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

1 citing paper in PubMed.

  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

12 authors.

Mohamed KhalisDepartment of Public Health, Mohammed VI Center for Research and Innovation, Rabat, Morocco. mkhalis@um6ss.ma.
Imad ElbadisyDepartment of Public Health, Mohammed VI Center for Research and Innovation, Rabat, Morocco.
Oumnia BouaddiDepartment of Public Health, Mohammed VI Center for Research and Innovation, Rabat, Morocco.
Amy LuoDepartment of Population, Family and Reproductive Health, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Amina BendriouichMohammed VI Faculty of Medicine, Mohammed VI University of Sciences and Health, Casablanca, Morocco.
Badr AddahriMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.
Hafida CharakaHigher Institute of Nursing Professions and Health Techniques, Rabat, Morocco.
Mohamed ChahbouneHigher Institute of Health Sciences, Laboratory of Sciences and Health Technologies, Hassan First University of Settat, Settat, Morocco.
Jérôme FoucaudInstitut National du Cancer, Boulogne Billancourt, France.
Abdallah BadouFaculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco.
Lahcen BelyamaniMohammed VI Faculty of Medicine, Mohammed VI University of Sciences and Health, Casablanca, Morocco.
Inge HuybrechtsNutrition and Metabolism Branch, International Agency for Research On Cancer, Lyon, France.

Funding

Integrating data for causal inference in behavioral healthT32MH122357 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Rashelle Jean Musci, Elizabeth A. Stuart · 2020 to 2026
$1.8M
NIMH NIH HHS T32 MH122357World Health Organization 001
6 · The paper itself

Abstract

backgroundCancer has become a major health concern due to the increasing morbidity and mortality rates, and its negative social, economic consequences and the heavy financial burden incurred by cancer patients. About 40% of cancers are preventable. The aim of this study was to assess the knowledge, attitudes, and practices regarding cancer prevention, and associated characteristics to inform the development of targeted cancer prevention campaigns and policies.

methodsWe conducted a cross-sectional survey of adult patients at Mohamed Sekkat and Sidi Othmane Hospitals in Casablanca, Morocco. Data collection was conducted by two trained interviewers who administered the questionnaire in-person in the local language. An unsupervised clustering approach included 17 candidate variables for the cluster analysis. The variables covered a wide range of characteristics, including demographics, health perceptions and attitudes. Survey answers were calculated to compose qualitative ordinal categories, including a cancer attitude score and knowledge score.

resultsThe cluster-based analysis showed that participants in cluster 1 had the highest mean attitude score (13.9 ± 2.15) and percentage of individuals with a high level of knowledge (50.8%) whereas the lowest mean attitude score (9.48 ± 2.02) and knowledge level (7.5%.) were found in cluster 3. The participants with the lowest cancer attitude scores and knowledge levels were aged 34 to 47 years old (middle age group), predominantly females, living in rural settings, and were least likely to report health professionals as a source of health information.

conclusionsThe findings showed that female individuals living in rural settings, belonging to an older age group, who were least likely to use health professionals as an information source had the lowest levels of knowledge and attitudes. These groups are amenable to targeted and tailored interventions aiming to modify their understanding of cancer in order to enhance the outcomes of Morocco's on-going efforts in cancer prevention and control strategies.

Indexed as

Health Knowledge, Attitudes, PracticeNeoplasmsAdolescentAdultAgedCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedMoroccoSurveys and QuestionnairesYoung AdultCancerCluster analysisMoroccoRisk factors

Identifiers

PMID38824496
PMCPMC11143602

What OpenQuestion holds

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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 OpenQuestion graph.