Military Physical Training, Muscular Strength, and Body Composition of Brazilian Military Personnel

Rosa, Samir Ezequiel da; Martinez, Eduardo Camilo; Marson, Runer Augusto; Fortes, Marcos de Sá Rego; Filho, José Fernandes

doi:10.1590/1517-869220182402169528

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…Significant The results of the present study indicate significant negative correlations between GLUC and LM (r = -0.46; p = 0.031) and FFM (r = -0.46; p = 0.032), and positive with %F (r = 0.43; p = 0.043). These results corroborate the study by Rosa et al (2018) who, found in their study with EB military personnel during a peace mission, that GLUC, TC, TRIG, and HDL-c were directly proportional to fat mass, and that, in the case of that study, the military graduates (officials), who had better physical performance, showed improvement in LM, reduction in FM and biochemical markers (GLUC, HDL-c, and TRIG). Where it is noteworthy that the designs of the studies are a little different but follow the same line of reasoning, and in that study, GLUC had the same behavior with the markers related to body fat, as well as behaved inversely proportional to LM and FM in the group of the official military.…”

Section: Discussionsupporting

confidence: 90%

“…All over the world, the military is characterized by occupying the most inhospitable places in their respective countries to guarantee the sovereignty of the state where the civilian population does not carry out this occupation spontaneously. In addition, in many regions of military employment there is no availability of continuous laboratory tests to monitor the cardiometabolic risk of this population, in this sense, the use of anthropometric parameters could be a solution for monitoring this variable, combined with training well-planned physical and military-oriented (Rosa, Martinez, Marson, Fortes, & Fernandes, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Correlation between anthropometric parameters and cardiometabolic risk in military (Correlación entre parámetros antropométricos y riesgo cadiometabólico en militares)

Zanetti¹,

Silva²,

Sena³

et al. 2022

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Introduction: The objective was to verify the relationship between anthropometric parameters and biomarkers associated with cardiometabolic diseases in military personnel. Methods: This is an analytical cross-sectional study, which involved 26 male Brazilian Army (EB) soldiers, with a mean age of 32.7 ± 2.12, physically active and from various EB military organizations. Serological clinical biomarkers were evaluated: glucose (GLUC), insulin (INSUL), triglyceride (TRIG), total cholesterol (TC) and high-density lipoprotein (HDL-c) and anthropometric variables obtained with a dual energy X-ray absorption densitometer (DXA) and body circumferences. The Shapiro-Wilk test and the Pearson correlation test were applied using the software Statistics® version 12.0. Results: Significant negative correlations between GLUC and lean mass (LM) (r = -0.46; p = 0.031) and fat-free mass (FFM) (r = -0.46; p = 0.032) and positive with the percentage of fat (%F) (r = 0.43; p = 0.043). Insulin (INSUL) showed positive correlations with fat mass (FM) (r = 0.52; p = 0.012); visceral adipose tissue (VAT) (r = 0.48; p = 0.024), waist circumference (WC) (r = 0.53; p = 0.01) and body mass index (BMI) (r = 0, 54; p = 0.009). The index of the model for assessing insulin homeostasis (HOMA-IR) showed positive correlations with %F (r = 0.44; p = 0.04), FM (r = 0.55; p = 0.007), VAT ( r = 0.52; p = 0.014), WC (r = 0.54; p = 0.01) and with the BMI (r = 0.52; p = 0.014). Conclusion: There was a positive association between variables representing insulin resistance and those related to body fat. In addition to negative correlations between GLUC and variables related to muscle mass. Resumen. Introducción. El objetivo fue verificar la relación entre parámetros antropométricos y biomarcadores asociados a enfermedades cardiometabólicas en personal militar. Métodos: Se trata de un estudio analítico de corte transversal, que involucró a 26 hombres soldados del Ejército Brasileño (EB), con una edad media de 32,7 ± 2,12 años, físicamente activos y de diversas organizaciones militares de la EB. Se evaluaron biomarcadores clínicos serológicos: glucosa (GLIC), insulina (INSUL), triglicéridos (TRIG), colesterol total (CT) y lipoproteínas de alta densidad (HDL-c) y variables antropométricas obtenidas con densitómetro de absorción de rayos X de energía dual (DXA) y circunferencias corporales. La prueba de Shapiro-Wilk y la prueba de correlación de Pearson se aplicaron utilizando el software Statistics® versión 12.0. Resultados: Correlaciones negativas significativas entre GLIC y masa magra (LM) (r = -0.46; p = 0.031) y masa libre de grasa (FFM) (r = -0.46; p = 0.032) y positiva con el porcentaje de grasa (% F) (r = 0,43; p = 0,043). La insulina (INSUL) mostró correlaciones positivas con la masa grasa (MG) (r = 0,52; p = 0,012); tejido adiposo visceral (IVA) (r = 0,48; p = 0,024), circunferencia de cintura (CC) (r = 0,53; p = 0,01) e índice de masa corporal (IMC) (r = 0, 54; p = 0,009). El índice del modelo para evaluar la homeostasis de la insulina (HOMA-IR) mostró correlaciones positivas con% F (r = 0.44; p = 0.04), MG (r = 0.55; p = 0.007), TAV (r = 0.52; p = 0.014), CC (r = 0,54; p = 0,01) y con el IMC (r = 0,52; p = 0,014). Conclusión: Hubo una asociación positiva entre las variables que representan la resistencia a la insulina y las relacionadas con la grasa corporal. Además de correlaciones negativas entre GLIC y variables relacionadas con la masa muscular.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Correlation between anthropometric parameters and cardiometabolic risk in military (Correlación entre parámetros antropométricos y riesgo cadiometabólico en militares)

Zanetti¹,

Silva²,

Sena³

et al. 2022

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“…Researchers claim that using the program of special power training during 2 months allowed to cause positive changes in the preparedness level of naval cadets. Scientists prove with deep arguments that 14 week course of power and aerobic preparation positively affect anthropometrical indicators, body composition and level of force of the Brazilian peacekeeping contingent [21].…”

Section: Discussionmentioning

confidence: 99%

The program of physical training of servicemen to a qualification examination on the right to wear the “Beret with honors”

Anatskyi¹,

Kolomiitseva

Liubchich³

2018

PES

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Purpose: To develop the author's program of physical training of servicemen to a qualification examination on the right to wear “The Beret with honors” and to check its efficiency. Material: The perspective contingent for participation in an examination in number of 20 people at the age of 19-23 years participated in the researches. Motive tests were used for determination of level of preparedness: run of 10 km, passing of the general combat course; grenade throwing; time of performance of complex power exercise: 30 squats, 30 bendings extensions of hands in an emphasis lying, 30 raising of legs lying, turn over of a rubber tire of 30 m. Time of dismantling-assembly of weapon, filling of magazine and finishing of 30 m were fixed in fire preparation. Defeat of the target was fixed in points when firing. Basic provisions of the author's program of training: duration of 21 day; Monday - Friday on two trainings, Saturday - one training and recovery actions, Sunday - rest; a method of performance of exercises - continuous; trainings took place in full combat equipment; the main attention was paid to development of the general endurance in the morning and the whole other work was performed against the background of the general exhaustion. Results: Use of the author's technique in 21 days of training allowed: to increase the level of the general endurance by 11,5%, the level of power endurance by 4,2%, the level of high-speed and power abilities and dexterity by 9,9%; the level of preparedness for aimed fire by 17,3%. Conclusions: The accelerated, three-week training program with complex use of power exercises, aerobic load, fighting sparrings and service weapon firing brought positive results. Thus, the level of professional preparedness of cadets for performing the set task was increased.

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“…Physical fitness is an important risk factor for musculoskeletal disorders, and muscle fatigue potentially predisposes individuals with lower fitness to musculoskeletal disorders (Murphy et al, 2003). Body weight control and assessment of anthropometric characteristics are important to evaluate motor activity and manage exercise strategy (Naghii, 2016;Aandstad et al, 2014;da Rosa et al, 2018). Sharp changes in body mass, body mass index and body fat percentage, as found in some studies, may also influence the rate of musculoskeletal disorders and might be a risk factor for musculoskeletal disorders (Taanila et al, 2010(Taanila et al, , 2015Parkkari et al, 2011;Mitchell et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Anthropometric Parameters and Biochemical Markers of Military Personnel Under the Influence of High Physical and Psychological Loads

Pļaviņa

Mackevics

Smagare

et al. 2019

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

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Physical fitness, health, and physical endurance are important attributes of persons in military. The purpose of the present study was to assess the changes of anthropometric parameters and of biochemical markers in blood serum for participants of a one-week combat training course (CTC) during which participants had high physical and psychological loads in combination with dietary limitation and sleep deprivation. High physical and psychological loads cause changes in the level of biochemical markers that are indicative of musculoskeletal system dysfunction. The study group included participants (n = 59) of both genders aged 23 to 30 years. Anthropometric parameters (body mass, height, body mass index) were determined. Blood plasma analyses were done before and directly after CTC. Biomarkers like lactate dehydrogenase (LDH), creatine phosphokinase (CPK), alanine amino transferase (ALT) and aspartate amino transferase (AST) were measured. Data were analysed by using SPSS 20. We determined levels of anthropometric parameters before, during and after a combat training course. The body mass decreased during the one-week training course, until the sixth day of combat training course, when the peak of physical and emotional stress was reached. The level of biomarkers lactate dehydrogenase and creatine phosphokinase sharply increased after the combat training course. A high physical load caused changes in biochemical markers, indicating musculoskeletal dysfunction in healthy young persons. The study underlines the importance of checking the health status of military personnel before and after exercises with high physical and psychological loads in order to prevent major health disorders in the combat environment.

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Military Physical Training, Muscular Strength, and Body Composition of Brazilian Military Personnel

Cited by 3 publications

References 11 publications

Correlation between anthropometric parameters and cardiometabolic risk in military (Correlación entre parámetros antropométricos y riesgo cadiometabólico en militares)

Correlation between anthropometric parameters and cardiometabolic risk in military (Correlación entre parámetros antropométricos y riesgo cadiometabólico en militares)

The program of physical training of servicemen to a qualification examination on the right to wear the “Beret with honors”

Anthropometric Parameters and Biochemical Markers of Military Personnel Under the Influence of High Physical and Psychological Loads

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