Context: Prostate cancer, an adenocarcinoma of the male prostate gland, is increasingly becoming a health burden among men in the world. In East Africa, prostate cancer ranks third in both incidence and mortality. Screening increases early detection and survival but there is no evidence to show that screening reduces mortality. Aims: This study sought to determine demographic predictors of uptake of prostate cancer screening among men aged 40 years and above. Settings and Design: The study was conducted in Kasarani Sub-County, Nairobi County, Kenya. Cross sectional descriptive survey methodology was adopted. Methods and Material: Both pretested questionnaire and interview guides were used for data collection. Interviews were conducted in the households sampled randomly. About 384 respondents were sampled from the population. Statistical analysis used: Inferential statistics (chi square tests and ANOVA tests) as well as basic descriptive statistics were employed in data analysis. Both quantitative (SPSS) and qualitative (MAXQDA) data analysis software were used for the analysis. All tests were conducted at 95% CI. Results: About 9% of the population had undertaken prostate cancer screening. Levels of education, age, religion and employment status influenced uptake of screening (p=0.000). Conclusions: There is low rate of uptake of prostate cancer screening in the study area. Demographic factors including religion, occupation, marital status, education and age influence uptake of prostate cancer screening.
| Published in | American Journal of Nursing and Health Sciences (Volume 4, Issue 3) |
| DOI | 10.11648/j.ajnhs.20230403.12 |
| Page(s) | 62-67 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Screening, Prostate Cancer, Demographic Factors
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APA Style
Humphrey Gachoki, Isaac Okeyo. (2023). Predictors of Uptake of Prostate Cancer Screening in Kenya: The Demographic Factors Influence. American Journal of Nursing and Health Sciences, 4(3), 62-67. https://doi.org/10.11648/j.ajnhs.20230403.12
ACS Style
Humphrey Gachoki; Isaac Okeyo. Predictors of Uptake of Prostate Cancer Screening in Kenya: The Demographic Factors Influence. Am. J. Nurs. Health Sci. 2023, 4(3), 62-67. doi: 10.11648/j.ajnhs.20230403.12
AMA Style
Humphrey Gachoki, Isaac Okeyo. Predictors of Uptake of Prostate Cancer Screening in Kenya: The Demographic Factors Influence. Am J Nurs Health Sci. 2023;4(3):62-67. doi: 10.11648/j.ajnhs.20230403.12
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Download@article{10.11648/j.ajnhs.20230403.12,
author = {Humphrey Gachoki and Isaac Okeyo},
title = {Predictors of Uptake of Prostate Cancer Screening in Kenya: The Demographic Factors Influence},
journal = {American Journal of Nursing and Health Sciences},
volume = {4},
number = {3},
pages = {62-67},
doi = {10.11648/j.ajnhs.20230403.12},
url = {https://doi.org/10.11648/j.ajnhs.20230403.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnhs.20230403.12},
abstract = {Context: Prostate cancer, an adenocarcinoma of the male prostate gland, is increasingly becoming a health burden among men in the world. In East Africa, prostate cancer ranks third in both incidence and mortality. Screening increases early detection and survival but there is no evidence to show that screening reduces mortality. Aims: This study sought to determine demographic predictors of uptake of prostate cancer screening among men aged 40 years and above. Settings and Design: The study was conducted in Kasarani Sub-County, Nairobi County, Kenya. Cross sectional descriptive survey methodology was adopted. Methods and Material: Both pretested questionnaire and interview guides were used for data collection. Interviews were conducted in the households sampled randomly. About 384 respondents were sampled from the population. Statistical analysis used: Inferential statistics (chi square tests and ANOVA tests) as well as basic descriptive statistics were employed in data analysis. Both quantitative (SPSS) and qualitative (MAXQDA) data analysis software were used for the analysis. All tests were conducted at 95% CI. Results: About 9% of the population had undertaken prostate cancer screening. Levels of education, age, religion and employment status influenced uptake of screening (p=0.000). Conclusions: There is low rate of uptake of prostate cancer screening in the study area. Demographic factors including religion, occupation, marital status, education and age influence uptake of prostate cancer screening.},
year = {2023}
}
TY - JOUR T1 - Predictors of Uptake of Prostate Cancer Screening in Kenya: The Demographic Factors Influence AU - Humphrey Gachoki AU - Isaac Okeyo Y1 - 2023/07/20 PY - 2023 N1 - https://doi.org/10.11648/j.ajnhs.20230403.12 DO - 10.11648/j.ajnhs.20230403.12 T2 - American Journal of Nursing and Health Sciences JF - American Journal of Nursing and Health Sciences JO - American Journal of Nursing and Health Sciences SP - 62 EP - 67 PB - Science Publishing Group SN - 2994-7227 UR - https://doi.org/10.11648/j.ajnhs.20230403.12 AB - Context: Prostate cancer, an adenocarcinoma of the male prostate gland, is increasingly becoming a health burden among men in the world. In East Africa, prostate cancer ranks third in both incidence and mortality. Screening increases early detection and survival but there is no evidence to show that screening reduces mortality. Aims: This study sought to determine demographic predictors of uptake of prostate cancer screening among men aged 40 years and above. Settings and Design: The study was conducted in Kasarani Sub-County, Nairobi County, Kenya. Cross sectional descriptive survey methodology was adopted. Methods and Material: Both pretested questionnaire and interview guides were used for data collection. Interviews were conducted in the households sampled randomly. About 384 respondents were sampled from the population. Statistical analysis used: Inferential statistics (chi square tests and ANOVA tests) as well as basic descriptive statistics were employed in data analysis. Both quantitative (SPSS) and qualitative (MAXQDA) data analysis software were used for the analysis. All tests were conducted at 95% CI. Results: About 9% of the population had undertaken prostate cancer screening. Levels of education, age, religion and employment status influenced uptake of screening (p=0.000). Conclusions: There is low rate of uptake of prostate cancer screening in the study area. Demographic factors including religion, occupation, marital status, education and age influence uptake of prostate cancer screening. VL - 4 IS - 3 ER -
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