Africa has contributed substantial knowledge to the understanding of certain risk factors for cancer, such as the role of several infectious agents (eg, viruses, bacteria, and parasites), aflatoxins, and certain lifestyle factors. Although the relative importance of many lifestyle factors is becoming better understood in developed countries, more work is needed to understand the importance of these factors in different African settings. In view of the substantial genetic diversity in Africa, it would be prudent not to generalize too widely from one place to the next. We argue that risks for several exposures related to certain cancers differ from the patterns seen in developed countries. In this paper, we review the current knowledge of causes of some of the leading cancers in Africa, namely cancers of the cervix, breast, liver, prostate, stomach, bladder, and oesophagus, Kaposi's sarcoma, non-Hodgkin lymphoma, and tobacco-related cancers. There are no comprehensive cancer-control programmes in Africa and provision of radiotherapy, chemotherapy, and palliation is inadequate. Certain cost-effective interventions, such as tobacco control, provision of antiretroviral therapy, and malarial and bilharzial control, can cause substantial decreases in the burden of some of these cancers. Vaccinations against hepatitis B and oncogenic human papilloma viruses can make the biggest difference, but very few countries in Africa can afford these vaccines without substantial subsidization.
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http://dx.doi.org/10.1016/S1470-2045(08)70198-0 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
The transition from secondary school to college or university is a well-known and well-studied risk period for weight and/or fat gain and not meeting the dietary recommendations. Higher education acts as a promising setting to implement nutrition interventions. An important condition for intervention success is that interventions are implemented as intended by the protocol and integrated in the institutional policy.
View Article and Find Full Text PDFClin Transplant
January 2025
Rehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium.
Introduction: Currently, there is little evidence on the prevalence and factors associated with sarcopenia risk or frailty risk in patients post heart transplantation (HTx). The objective of this study was to analyze the influence of sociodemographic, lifestyle, physical, and psychological factors on sarcopenia and frailty risk in patients post-HTx.
Methods: 133 patients post-HTx (59.
MedEdPORTAL
December 2024
Associate Professor, Department of Medical Education, and Assistant Dean, Clinical Skills Education, Wright State University Boonshoft School of Medicine.
Introduction: Physicians face barriers to counseling patients regarding lifestyle, specifically, low perceived importance of and confidence in counseling, leading to underuse. There is a dearth in the literature evaluating educational interventions for counseling skills among preclinical medical students. Closing this gap is crucial to taking advantage of critical opportunities early in training.
View Article and Find Full Text PDFCureus
November 2024
Biostatistics, Michigan State University College of Osteopathic Medicine, East Lansing, USA.
Background Preventive measures are critical in avoiding and limiting the severity of diseases. Key lifestyle behaviors include sleep hygiene, habitual exercise, a healthy diet, and avoidance of risky substances, particularly the use of tobacco. The transtheoretical model (TTM) of change suggests that patients can move towards healthful changes through education.
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