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Original Article
- Educational Intervention Based on the Health Belief Model to Modify Risk Factors of Cardiovascular Disease in Police Officers in Iran: A Quasi-experimental Study
- Mohsen Saffari, Hormoz Sanaeinasab, Hassan Jafarzadeh, Mojtaba Sepandi, Keisha-Gaye N. O'Garo, Harold G. Koenig, Amir H. Pakpour
- J Prev Med Public Health. 2020;53(4):275-284. Published online June 18, 2020
- DOI: https://doi.org/10.3961/jpmph.20.095
- 8,225 View
- 380 Download
- 7 Crossref
-
Abstract
PDF
Supplementary Material - Objectives
Police officers may be at a greater risk for cardiovascular disease (CVD) than the general population due to their highstress occupation. This study evaluated how an educational program based on the health belief model (HBM) may protect police officers from developing CVD.
Methods
In this single-group experimental study, 58 police officers in Iran participated in a 5-week intervention based on HBM principles. Outcomes included changes in scores on an HBM scale, time spent on moderate to vigorous physical activity (International Physical Activity Questionnaire), body mass index (BMI), blood lipid profile, blood glucose, and blood pressure. The intervention consisted of 5 HBM-based educational sessions. Follow-up was conducted at 3 months post-intervention. The paired t-test was used to examine differences between baseline and follow-up scores.
Results
All aspects of the HBM scale improved between baseline and follow-up (p<0.05), except the cues to action subscale. Self-efficacy and preventive behaviors improved the most. BMI decreased from 26.7±2.9 kg/m2 at baseline to 25.8±2.4 kg/m2 at follow-up. All components of the lipid profile, including triglycerides, cholesterol, high-density lipoprotein, and low-density lipoprotein, showed significant improvements post-intervention. Blood glucose and blood pressure also decreased, but not significantly. Nearly 25% of participants who were not physically active at baseline increased their physical activity above or beyond the healthy threshold.
Conclusions
A relatively brief educational intervention based on HBM principles led to a significant improvement in CVD risk factors among police officers. Further research is needed to corroborate the effectiveness of this intervention. -
Summary
Citations
Citations to this article as recorded by
- An Intervention Program Using the Health Belief Model to Modify Lifestyle in Coronary Heart Disease: Randomized Controlled Trial
Mohsen Saffari, Hormoz Sanaeinasab, Hojat Rashidi-jahan, Fardin Aghazadeh, Mehdi Raei, Fatemeh Rahmati, Faten Al Zaben, Harold G. Koenig
International Journal of Behavioral Medicine.2024; 31(4): 631. CrossRef - Cardiovascular Risk Factors and Metabolic Syndrome among Police Officers in Kozhikode Corporation
Aparna Padmanabhan, Jayakrishnan Thayyil, G Alan, Siju Kumar
Indian Journal of Occupational and Environmental Medicine.2024; 28(1): 45. CrossRef - Effect of educational intervention on risk factors of cardiovascular diseases among school teachers: a quasi-experimental study in a suburb of Kolkata, West Bengal, India
Anubrata Karmakar, Aritra Bhattacharyya, Bijit Biswas, Aparajita Dasgupta, Lina Bandyopadhyay, Bobby Paul
BMC Public Health.2023;[Epub] CrossRef - The effect of educational intervention in the prevention of cardiovascular diseases in patients with hypertension with application of health belief model: A quasi-experimental study
Fatemeh Mohammadkhah, Abbas Shamsalinia, Fatemeh Rajabi, Pooyan Afzali Hasirini, Ali Khani Jeihooni
JRSM Cardiovascular Disease.2023;[Epub] CrossRef - Assessment of Compliance with Healthy Lifestyle Standards by the Instructional Staff of Higher Educational Institutions
Ivan М. Okhrimenko, Viacheslav V. Zasenko, Olena V. Chebotaryova, Alla L. Dushka, Andrii V. Lapin, Nataliia O. Kvitka, Iryna A. Holovanovа
Acta Balneologica.2022; 64(5): 463. CrossRef - Educational interventions in relation to the level of physical activities for police officers: a systematic literature review
Cleise Cristine Ribeiro Borges Oliveira, Carla Tatiane Oliveira Silva, Carolina de Souza-Machado, Fernanda Carneiro Mussi, Ana Carla Carvalho Coelho, Cláudia Geovana Da Silva Pires
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Bahram Mohebbi, Maryam Sabouri, Azar Tol
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COVID-19: Systematic Review- Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis
- Yousef Alimohamadi, Maryam Taghdir, Mojtaba Sepandi
- J Prev Med Public Health. 2020;53(3):151-157. Published online March 20, 2020
- DOI: https://doi.org/10.3961/jpmph.20.076
- 24,866 View
- 1,250 Download
- 192 Crossref
-
Abstract
PDF
- Objectives
The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R0) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R0 for COVID-19 in the current outbreak.
Methods
International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R0 of COVID-19. Articles were searched using the following keywords: “COVID-19” and “basic reproduction number” or “R0.” The heterogeneity among studies was assessed using the I2 index, the Cochran Q test, and T2. A random-effects model was used to estimate R0 in this study.
Results
The mean reported R0 in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R0 for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R0 did not have a significant effect on heterogeneity among studies (p=0.81).
Conclusions
Considering the estimated R0 for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R0 was higher than the World Health Organization estimate. -
Summary
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Kimberly A. Fisher, Sarah J. Bloomstone, Jeremy Walder, Sybil Crawford, Hassan Fouayzi, Kathleen M. Mazor
Annals of Internal Medicine.2020; 173(12): 964. CrossRef - Analysis and Forecast of COVID-19 in India, the US and Italy - An Application of Arima Model
Elbin Siby, Maria Joseph, Noel George, Richu Rajesh, Aneena Thankachan
SSRN Electronic Journal .2020;[Epub] CrossRef - Knowledge, Perceived Beliefs, and Preventive Behaviors Related to COVID-19 Among Chinese Older Adults: Cross-Sectional Web-Based Survey
Ying Chen, Rui Zhou, Boyan Chen, Hao Chen, Ying Li, Zhi Chen, Haihong Zhu, Hongmei Wang
Journal of Medical Internet Research.2020; 22(12): e23729. CrossRef - Vorhersage der Ausbreitung von SARS-CoV-2 im brasilianischen Bundesstaat Amapá, Amazonas, durch mathematische Modellierung
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef - Predicción de la propagación del SARS-CoV-2 en el estado de Amapá, Amazonas, Brasil, por modelado matemático
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef - Prédiction de la propagation du SRAS-CoV-2 dans l’État d’Amapá, Amazônia, Brésil, par modélisation mathématique
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef - Прогнозирование распространения SARS-CoV-2 в штате Amapá, Амазонка, Бразилия, с помощью математического моделирования
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef
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