Evidence map›Paper›PMID 41129516›Full record

ArticlePloS one2025

Lung cancer symptoms awareness among Ethiopian adults: A latent class analysis.

Nathan Estifanos, Gudina Egata, Adamu Addissie, Rahel Argaw Kebede, Amsalu Bekele, Negussie Deyessa

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nathan EstifanosSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-5598-2206
Gudina EgataSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Adamu AddissieSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Rahel Argaw KebedeCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Amsalu BekeleCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Negussie DeyessaSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-8843-7287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited evidence regarding lung cancer awareness in developing countries. In Ethiopia, 92.2% of lung cancer patients present at facilities with late stages, leading to poor treatment outcomes. This emphasizes the importance of early detection. Symptom awareness is crucial for reducing delays. This study aimed to identify latent classes of lung cancer symptom awareness and their predictors, guiding class-specific interventions.

methodsA population-based cross-sectional survey was conducted from October to December 2023 among a randomly selected 2388 adults in Addis Ababa, Ethiopia. A face-to-face interview was conducted using the validated Lung Cancer Awareness Measure (Lung CAM). Latent class analysis and latent class multinomial logistic regression were used to identify classes and predictors of class membership.

resultsThree distinct classes of participants were identified: "poor awareness" (Class 1: 38%), "fair awareness" (Class 2: 37.5%), and "good awareness" (Class 3: 24.5%). The average symptom awareness score was 7.8 out of 14. The most commonly recognized symptom was coughing up blood (72%), while changes in the shape of fingers were the least recognized (20%). Being male, employed, having a higher education level, using out-of-pocket money for health expenses, and knowing someone with cancer significantly increased the odds of belonging to the "good awareness" class, with adjusted odds ratios ranging from 1.66 to 12.60.

conclusionOnly one-fourth of participants were classified as class 3, denoted as "good awareness," indicating a significant gap in symptom awareness. Respiratory symptoms were mostly well-known. Class membership varied across sociodemographic and related characteristics. Hence, there is a need for class-specific educational intervention and a focus on non-respiratory symptoms.

Indexed as

Health Knowledge, Attitudes, PracticeLung NeoplasmsAdultAgedCross-Sectional StudiesEarly Detection of CancerEthiopiaFemaleHumansLatent Class AnalysisMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID41129516
PMCPMC12548894

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