Cancer Risk Studies and Priority Areas for Cancer Risk Appraisal in Uganda

Prevalence, trends and distribution of lifestyle cancer risk factors in Uganda: a 20-year systematic review

BACKGROUND

Cancer is becoming an important public health problem in Uganda. Cancer control requires surveillance of lifestyle risk factors to inform targeted interventions. However, only one national Non-Communicable Disease (NCD) risk factor survey has been conducted in Uganda. This review assessed the prevalence, trends and distribution of lifestyle risk factors in Uganda.

METHODS

The review identified studies up to January 2019 by searching Medline, Embase, CINAL and Cochrane databases. Further literature was identified from relevant websites and journals; scanning reference lists of relevant articles; and citation searching using Google Scholar. To be eligible, studies had to have been conducted in Uganda, and report prevalence estimates for at least one lifestyle cancer risk factor. Narrative and systematic synthesis was used to analyse the data.

RESULTS

Twenty-four studies were included in the review. Overall, unhealthy diet (88%) was the most prevalent lifestyle risk factor for both males and females. This was followed by harmful use of alcohol (range of 14.3% to 26%) for men, and being overweight (range of 9% to 24%) for women. Tobacco use (range of 0.8% to 10.1%) and physical inactivity (range of 3.7% to 4.9%) were shown to be relatively less prevalent in Uganda. Tobacco use and harmful use of alcohol were more common in males and more prevalent in Northern region, while being overweight (BMI > 25 kg/m2) and physical inactivity were more common in females and more prevalent in Central region. Tobacco use was more prevalent among the rural populations compared to urban, while physical inactivity and being overweight were more common in urban than in rural settings. Tobacco use has decreased overtime, while being overweight increased in all regions and for both sexes.

CONCLUSION

There is limited data about lifestyle risk factors in Uganda. Apart from tobacco use, other lifestyle risk factors seem to be increasing and there is variation in the prevalence of lifestyle risk factors among the different populations in Uganda. Prevention of lifestyle cancer risk factors requires targeted interventions and a multi-sectoral approach. Most importantly, improving the availability, measurement and comparability of cancer risk factor data should be a top priority for future research in Uganda and other low-resource settings.

Revisiting social MPE: an integration of molecular pathological epidemiology and social science in the new era of precision medicine

INTRODUCTION

Molecular pathological epidemiology (MPE) is an integrative transdisciplinary area examining the relationships between various exposures and pathogenic signatures of diseases. In line with the accelerating advancements in MPE, social science and its health-related interdisciplinary areas have also developed rapidly. Accumulating evidence indicates the pathological role of social-demographic factors. We therefore initially proposed social MPE in 2015, which aims to elucidate etiological roles of social-demographic factors and address health inequalities globally. With the ubiquity of molecular diagnosis, there are ample opportunities for researchers to utilize and develop the social MPE framework.

AREAS COVERED

Molecular subtypes of breast cancer have been investigated rigorously for understanding its etiologies rooted from social factors. Emerging evidence indicates pathogenic heterogeneity of neurological disorders such as Alzheimer's disease. Presenting specific patterns of social-demographic factors across different molecular subtypes should be promising for advancing the screening, prevention, and treatment strategies of those heterogeneous diseases. This article rigorously reviewed literatures investigating differences of race/ethnicity and socioeconomic status across molecular subtypes of breast cancer and Alzheimer's disease to date.

EXPERT OPINION

With advancements of the multi-omics technologies, we foresee a blooming of social MPE studies, which can address health disparities, advance personalized molecular medicine, and enhance public health.

Mobile cancer prevention and early detection outreach in Uganda: Partnering with communities toward bridging the cancer health disparities through "asset-based community development model"

Background

Communities in low‐income countries are characterized by limited access to cancer prevention and early detection services, even for the commonest types of cancer. Limited resources for cancer control are one of the contributors to cancer health disparities. We explored the feasibility and benefit of conducting outreaches in partnership with local communities using the “asset‐based community development (ABCD)” model.

Methods

We analyzed the quarterly Uganda cancer institute (UCI) community outreach cancer health education and screening output reported secondary data without individual identifiers from July 2016 to June 2019 to compare the UCI‐hospital‐based and community outreach cancer awareness and screening services based on the ABCD model.

Results

From July 2016 to June 2019, we worked with 107 local partners and conducted 151 outreaches. Of the total number of people who attended cancer health education sessions, 201 568 (77.9%) were reached through outreaches. Ninety‐two (95%) cancer awareness TVs and radio talk‐shows conducted were sponsored by local partners. Of the total people screened; 22 795 (63.0%) cervical, 22 014 (64.4%) breast, and 4904 (38.7%) prostate screening were reached through community outreach model. The screen‐positive rates were higher in hospital‐based screening except for Prostate screening; cervical, 8.8%, breast, 8.4%, prostate, 7.1% than in outreaches; cervical, 3.2%, breast, 2.2%, prostate, 8.2%. Of the screened positive clients who were eligible for precancer treatment like cryotherapy for treatment of precervical cancer lesions, thousands‐folds monetary value and productive life saved relative to the market cost of cancer treatment and survival rate in Uganda. When the total number of clients screened for cervical, breast, and prostate cancer are subjected to the incremental cost of specific screening, a greater portion (98.7%) of the outreach cost was absorbed through community partnership.

Conclusions

Outreaching and working in collaboration with communities as partners through asset‐based community development model are feasible and help in cost‐sharing and leverage for scarce resources to promote primary prevention and early detection of cancer. This could contribute to bridging the cancer health disparities in the target populations.