Affiliation:
1. Universidade Federal do Rio Grande do Norte, Brazil
2. Universidade Estadual da Paraíba, Brazil
Abstract
ABSTRACT Objective To evaluate the perception of elderly population about cancer, correlating it with the clinical variables sex, age and past history of cancer. Methods The sample was composed of 300 individuals, 174 (58%) women. A questionnaire containing ten questions and based on the Health Information National Trends Survey was used. For statistical analysis, a p value <0.05 was considered significant. Results Individuals aged 80 years and older were more likely to believe that regular tests can identify cancer in early stages, compared to elderly aged under 80 years (OR: 0.103; CI95%: 0.021-0.499; p=0.005). Elderly subjects with positive history of cancer were more likely to believe that few people survive cancer, compared to those who never had the disease (OR: 0.379; CI95%: 0.167-0.858; p=0.02). All patients with a positive history of cancer believed that early-detected cancer can be cured. Conclusion Aged individuals with ≥80 years or older believed in regular exams as a form of early detection of cancer, probably due to the greater frequency of medical instructions. Subjects who had cancer believed that few people survive the disease, perhaps because of the negative experiences they have experienced. Considering the greater presence of fatalistic perceptions, this group constitutes a potential target for educational approaches about cancer.
Reference28 articles.
1. What is cancer? [Internet],2018
2. Cancer Facts & Figures 2017 [Internet],2017
3. Global cancer rates could increase by 50% to 15 million by 2020 [Internet],2018
4. Estimativa 2016: incidência de câncer no Brasil [Internet],2015
5. Percepção da morte pelo paciente oncológico ao longo do desenvolvimento;Borges AD;Psicol Estudo,2006
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Demographic Analysis of Cancer Research Priorities and Treatment Correlations;Current Oncology;2024-03-29
2. ENVELHECIMENTO E CÂNCER: O processo de adoecimento oncológico em idosos;Psicologia e Saúde em Debate;2024-03-05
3. Deep Learning Convolutional Neural Networks Classification Based on Brain Cancer MRI;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19
4. A Proficient Approach to Detect Osteosarcoma Through Deep Learning;2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22);2022-04-29
5. Delay in diagnosis of oral cancer: a systematic review;Medicina Oral Patología Oral y Cirugia Bucal;2021