Hypertension and associated factors in military police anthropometric, sleep, and lifestyle indicators

Authors

  • Renalt R Gonçalves
  • Geanderson S Oliveira
  • Wagner J R Domingues
  • Matheus F Deus
  • Pedro F C Fortes Junior
  • Roberta L Rica
  • Ana Paula Lima-Leopoldo
  • Andre S Leopoldo
  • Romeu Paulo Martins Silva
  • Danilo S Bocalini

DOI:

https://doi.org/10.47197/retos.v84.119887

Keywords:

Hypertension , military personnel, body composition, sleep duration , cardiovascular health

Abstract

Objective: To analyze and compare health indicators, body composition, blood pressure, sleep, and physical activity between hypertensive and non-hypertensive military personnel from the Shock Company of the Special Missions Battalion of the Military Police of Espírito Santo.

Methods: A total of 41 military personnel were evaluated, including 25 diagnosed with arterial hypertension and 16 non-hypertensive individuals. The analyzed variables included age, years of service, body composition, anthropometry, health indices, diastolic blood pressure, heart rate, hours of sleep, and weekly minutes of physical activity.

Results: Hypertensive individuals showed significantly higher values for body mass, BMI, waist circumference, body fat percentage, waist-to-height ratio, systolic and diastolic blood pressure compared to non-hypertensive individuals. Additionally, hypertensive military personnel exhibited fewer hours of sleep and similar levels of weekly physical activity.

Conclusion: Anthropometric indicators, sleep patterns, and lifestyle behaviors were associated with the presence of hypertension in military police officers. These findings highlight the importance of preventive strategies focusing on body composition, sleep quality, and physical activity to promote health and operational readiness in this population.

References

Battisha A, Kahlon A, Kalra DK. (2025). Sleep-Disordered Breathing and Hypertension—A Systematic Review. Journal of Clinical Medicine, 14(9): 3115. https://doi.org/10.3390/jcm14093115.

Braga Filho RT, D’Oliveira Jr A. (2014). The Prevalence of Metabolic Syndrome Among Soldiers of the Military Police of Bahia State, Brazil. American Journal of Men’s Health, 8(4): 310–315. https://doi.org/10.1177/1557988313510928.

Brandão AA, Rodrigues CIS, Bortolotto LA, Armstrong AC, Mulinari RA, Feitosa ADM, et al. (2025). Diretriz Brasileira de Hipertensão Arterial – 2025. Arquivos Brasileiros de Cardiologia, 122(9): e20250624. https://doi.org/10.36660/abc.20250624.

Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Departamento de análise epidemiológica e vigilância de doenças não transmissíveis. Vigitel Brasil 2023: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2023. Ministério da Saúde, 2023; 131 p.

Calamita Z, Silva Filho CR, Capputti PF. (2010). Fatores de risco para doenças cardiovasculares no policial militar. Revista Brasileira de Medicina do Trabalho, 8(1): 39–45.

Cerqueira FC. (2013). Ocorrência de hipertensão arterial nos policiais militares da ativa do Estado de Mato Grosso. Homens do Mato. Revista Científica de Pesquisa em Segurança Pública, 11: 30–45.

Choi B, Steiss D, Garcia-Rivas J, Kojaku S, Schnall P, Dobson M, Baker D. (2016). Comparison of body mass index with waist circumference and skinfold-based percent body fat in firefighters: adiposity classification and associations with cardiovascular disease risk factors. International Archives of Occupational and Environmental Health, 89(3): 435–448. https://doi.org/10.1007/s00420-015-1082-6.

Corrêa MM, Facchini LA, Thumé E, Oliveira ERA, Tomasi E. (2019). Habilidade da razão cintura-estatura na identificação de risco à saúde. Revista de Saúde Pública, 53: 66. https://doi.org/10.11606/S1518-8787.2019053000895.

Durnin JVGA, Womersley J. (1974). Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. British Journal of Nutrition, 32(1): 77–97. https://doi.org/10.1079/BJN19740060.

Esparza-Ros F, Vaquero-Cristóbal R, Marfell-Jones M. (2019). International standards for anthropometric assessment. International Society for the Advancement of Kinanthropometry (ISAK).

Ferraz AF, Andrade EL, Viana MV, Rica RL, Bocalini DS, Figueira Júnior A. (2020). Physical activity level and sedentary behavior of military police staff. Revista Brasileira de Medicina do Esporte, 26(2): 117–121. https://doi.org/10.1590/1517-869220202602208923.

Ferreira DKS, Bonfim C, Augusto LGS. (2011). Fatores associados ao estilo de vida de policiais militares. Ciência & Saúde Coletiva, 16(8): 3403–3412. https://doi.org/10.1590/S1413-81232011000900007.

Fonseca LSO, Silva SP, Fonseca LO, Vieira LTQ, Santana TS, Rocha ME, Barbosa MA, Amaral WN. (2021). Dependência alcoólica e a atividade policial militar / Alcohol dependency and military police activity. Brazilian Journal of Development, 7(3): 21207–21212. https://doi.org/10.34117/bjdv7n3-027.

Heinrich KM, Jitnarin N, Suminski RR, Berkel LV, Hunter CM, Alvarez L, Brundige AR, Peterson AL, Foreyt JP, Haddock CK, Poston WSC. (2008). Obesity classification in military personnel: a comparison of body fat, waist circumference, and body mass index measurements. Military Medicine, 173(1): 67–73. https://doi.org/10.7205/MILMED.173.1.67.

Holtermann A, Krause N, van der Beek AJ, Straker L. (2018). The physical activity paradox: six reasons why occupational physical activity does not confer the cardiovascular health benefits that leisure time physical activity does. British Journal of Sports Medicine, 52(3): 149–150. https://doi.org/10.1136/bjsports-2017-097965.

Hussain OJ, Ajuwon AJ. (2020). Prevalence, knowledge and preventive practices against hypertension among police officers in Ibadan. Annals of Ibadan Postgraduate Medicine, 18(2): 114–121.

Magnavita N, Chiorri C, Karimi L, Karanika-Murray M. (2022). The impact of quality of work organization on distress and absenteeism among healthcare workers. International Journal of Environmental Research and Public Health, 19(20): 13458. https://doi.org/10.3390/ijerph192013458.

Marçolla VF, Albuquerque DC, Oliveira DC, Aragão AAB, Aragão IPB, Ferreira E. (2024). Perfil sociodemográfico e de risco cardiovascular entre policiais do Batalhão de Operações Especiais (BOPE) e unidades convencionais no Rio de Janeiro. Mosaico – Revista Multidisciplinar de Humanidades, 15(3): 114–124. https://doi.org/10.21727/rm.v15i3.4706.

National Institute of Neurological Disorders and Stroke, Office of Communications and Public Liaison. (2007). Brain Basics: Understanding Sleep — How Much Sleep Do You Need?. National Institutes of Health / NINDS, NIH Publication No. 06-3440-C.

Oliveira GS, Machado AF, Reis CHO, Fortes Junior PFC, Rica RL, Morra EA, Paulo AC, Bocalini DS. (2024). Associação entre indicadores antropométricos, nível de atividade física e sono de policiais militares da Companhia de Operações de Choque do Batalhão de Missões Especiais do Espírito Santo. Retos, 60: 568–578. https://doi.org/10.47197/retos.v60.106897.

Oliveira RR, Aquino JBC, Reis CHO, Oliveira GS, Vieira LA, Machado AF, Rica RL, Bullo V, Bergamin M, Gobbo S, Bocalini DS. (2023). Skeletal muscle discomfort and lifestyle of brazilian military police officers of administrative and tactical force. Journal of Functional Morphology and Kinesiology, 8(4): 148. https://doi.org/10.3390/jfmk8040148.

Pitanga FJG, Lessa I. (2004). Sensibilidade e especificidade do índice de conicidade como discriminador do risco coronariano de adultos em Salvador, Brasil. Rev Bras Epidemiol. 2004;7(3):259–269. doi:10.1590/S1415-790X2004000300004.

Pitanga FJG, Lessa I. (2005). Indicadores antropométricos de obesidade como instrumento de triagem para risco coronariano elevado em adultos na cidade de Salvador – Bahia. Arq Bras Cardiol. 2005;85(1):26-31. doi:10.1590/S0066-782X2005001400006.

Santos HM, Teixeira EMB, Vieira PM. (2021). Perfil nutricional e hábitos alimentares de policiais militares. Research, Society and Development, 10(14): e165101420419. https://doi.org/10.33448/rsd-v10i14.20419.

Spiegel K, Tasali E, Penev P, Van Cauter E. (2004). Brief communication: Sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Annals of Internal Medicine, 141(11): 846–850. https://doi.org/10.7326/0003-4819-141-11-200412070-00008.

Tanasescu M, Rosu A, Minca A, Rosu A, Grigorie M, Timofte D, Ionescu D. (2025). Beyond BMI: Rethinking Obesity Metrics and Cardiovascular Risk in the Era of Precision Medicine. Diagnostics, 15(23): 3025. https://doi.org/10.3390/diagnostics15233025.

Velazquez-Kronen R, Millen AE, Ochs-Balcom HM, Mnatsakanova A, Gu JK, Andrew M, Violanti J. (2022). Sleep quality and dietary patterns in an occupational cohort of police officers. Behavioral Sleep Medicine, 2022; 20(5): 543–555. https://doi.org/10.1080/15402002.2021.1954925.

Wenzel D, Souza JMP, Souza SB. (2009). Prevalência de hipertensão arterial em militares jovens e fatores associados. Revista de Saúde Pública, 43(5): 789–795. https://doi.org/10.1590/S0034-89102009005000059.

World Health Organization (2020). Noncommunicable Diseases Progress Monitor 2020. World Health Organization, 224 p.

Zampero G, Trevisan IR, Monma F, Tinti JC, Santos LP, Lima TCP, Gorjão R, Hirabara SM, Pithon-Curi TC, Curi R, Santa-Rosa FA, Souza DR. (2026). Low physical activity levels of military police officers during day and night radio patrolling. BMJ Military Health, 172(2): 160–163. https://doi.org/10.1136/military-2024-002897

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Published

30-05-2026

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Section

Original Research Article

How to Cite

Gonçalves, R. R., Oliveira, G. S., Domingues, W. J. R., Deus, M. F., Fortes Junior, P. F. C., Rica, R. L., Lima-Leopoldo, A. P., Leopoldo, A. S., Martins Silva, R. P., & Bocalini, D. S. (2026). Hypertension and associated factors in military police anthropometric, sleep, and lifestyle indicators. Retos, 84, 111-123. https://doi.org/10.47197/retos.v84.119887