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Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania

BACKGROUND: Cardiovascular diseases (CVDs) are the global public health problem which has been associated with increasing prevalence of modifiable CVDs risk factors. This study aimed to describe the prevalence and knowledge of modifiable CVDs risk factors among vulnerable population of Central Tanza...

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Autores principales: Gibore, Nyasiro Sophia, Munyogwa, Mariam John, Ng’weshemi, Secilia Kapalata, Gesase, Ainory Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373223/
https://www.ncbi.nlm.nih.gov/pubmed/37496008
http://dx.doi.org/10.1186/s12872-023-03408-3
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author Gibore, Nyasiro Sophia
Munyogwa, Mariam John
Ng’weshemi, Secilia Kapalata
Gesase, Ainory Peter
author_facet Gibore, Nyasiro Sophia
Munyogwa, Mariam John
Ng’weshemi, Secilia Kapalata
Gesase, Ainory Peter
author_sort Gibore, Nyasiro Sophia
collection PubMed
description BACKGROUND: Cardiovascular diseases (CVDs) are the global public health problem which has been associated with increasing prevalence of modifiable CVDs risk factors. This study aimed to describe the prevalence and knowledge of modifiable CVDs risk factors among vulnerable population of Central Tanzania. METHODS: A community-based cross-sectional study design was employed. A total of 749 participants were interviewed. The socio-demographic information and modifiable CVDs risk factors (behavioral and biological) were measured using a modified World Health Organization (WHO) STEPwise approach for chronic disease risk factor surveillance. Knowledge of modifiable CVDs risk factors was measured by comprehensive heart disease knowledge questionnaire. Descriptive statistics were used to describe the knowledge and prevalence of modifiable CVDs risk factors. Logistic regression analysis was used to determine the factors associated with adequate knowledge of CVDs risk factors. RESULTS: The prevalence of béhavioral risk factors were; current smokers and alcohol consumers were 4.4% and 18.0% respectively, use of raw salt was 43.7%, consumption of fruit/vegetables < 5 days per week was 56.9%. The prevalence of Biological CVDs risk factors was as follows: Overall, 63.5% (33.3% overweight and 29.9% obese) were overweight or obese, 4.5% were diabetic and 43.4% were hypertensive. Only 35.4% of participants had adequate knowledge of CVDs risk factors. Being a male (AOR = 1.44, 95%CI = 1.01–2.06, p < .05), having primary education (AOR = 6.43, 95%CI = 2.39–17.36, p < .0001), being employed (AOR = 1.59, 95%CI = 1.00-2.52, p < .05), ever checked blood pressure (AOR = 0.59, 95%CI = 0.42–0.84, p < .001), family history of hypertension (AOR = 0.38, 95%CI = 0.25–0.57, p < .0001) determined adequate knowledge of CVDs risk factors. CONCLUSIONS: This study has revealed a high prevalence of modifiable CVDs risk factors and low knowledge of CVDs risk factors. Community health promotion interventions to increase population knowledge of CVDs risk factors are recommended for the efficacious reduction of CVDs in the country.
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spelling pubmed-103732232023-07-28 Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania Gibore, Nyasiro Sophia Munyogwa, Mariam John Ng’weshemi, Secilia Kapalata Gesase, Ainory Peter BMC Cardiovasc Disord Research BACKGROUND: Cardiovascular diseases (CVDs) are the global public health problem which has been associated with increasing prevalence of modifiable CVDs risk factors. This study aimed to describe the prevalence and knowledge of modifiable CVDs risk factors among vulnerable population of Central Tanzania. METHODS: A community-based cross-sectional study design was employed. A total of 749 participants were interviewed. The socio-demographic information and modifiable CVDs risk factors (behavioral and biological) were measured using a modified World Health Organization (WHO) STEPwise approach for chronic disease risk factor surveillance. Knowledge of modifiable CVDs risk factors was measured by comprehensive heart disease knowledge questionnaire. Descriptive statistics were used to describe the knowledge and prevalence of modifiable CVDs risk factors. Logistic regression analysis was used to determine the factors associated with adequate knowledge of CVDs risk factors. RESULTS: The prevalence of béhavioral risk factors were; current smokers and alcohol consumers were 4.4% and 18.0% respectively, use of raw salt was 43.7%, consumption of fruit/vegetables < 5 days per week was 56.9%. The prevalence of Biological CVDs risk factors was as follows: Overall, 63.5% (33.3% overweight and 29.9% obese) were overweight or obese, 4.5% were diabetic and 43.4% were hypertensive. Only 35.4% of participants had adequate knowledge of CVDs risk factors. Being a male (AOR = 1.44, 95%CI = 1.01–2.06, p < .05), having primary education (AOR = 6.43, 95%CI = 2.39–17.36, p < .0001), being employed (AOR = 1.59, 95%CI = 1.00-2.52, p < .05), ever checked blood pressure (AOR = 0.59, 95%CI = 0.42–0.84, p < .001), family history of hypertension (AOR = 0.38, 95%CI = 0.25–0.57, p < .0001) determined adequate knowledge of CVDs risk factors. CONCLUSIONS: This study has revealed a high prevalence of modifiable CVDs risk factors and low knowledge of CVDs risk factors. Community health promotion interventions to increase population knowledge of CVDs risk factors are recommended for the efficacious reduction of CVDs in the country. BioMed Central 2023-07-26 /pmc/articles/PMC10373223/ /pubmed/37496008 http://dx.doi.org/10.1186/s12872-023-03408-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gibore, Nyasiro Sophia
Munyogwa, Mariam John
Ng’weshemi, Secilia Kapalata
Gesase, Ainory Peter
Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania
title Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania
title_full Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania
title_fullStr Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania
title_full_unstemmed Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania
title_short Prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in Central Tanzania
title_sort prevalence and knowledge of modifiable cardiovascular diseases risk factors among vulnerable population in central tanzania
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373223/
https://www.ncbi.nlm.nih.gov/pubmed/37496008
http://dx.doi.org/10.1186/s12872-023-03408-3
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