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SUMMARY: Military readiness relies heavily on the physical fitness and operational capability of its personnel. This study aims to enhance the effectiveness of body composition assessment and classification protocols within the military context. A comprehensive evaluation of 4370 active-duty Chilean military personnel was conducted, focusing on anthropometric characteristics, including adipose tissue, muscle tissue, and anthropometric indices. The study observed significant differences in body composition between genders, with men exhibiting lower levels of body fat percentage (men: 26.28 %; women: 34.62 %) but higher levels of muscle mass (men: 42.0 %; women: 36.0 %;), skeletal muscle index (men:11.81; women: 9.31), and fat-free mass index (men: 19.92; women: 18.45) compared to women. High levels of muscle tissue were observed in both groups. By integrating these findings into a standardized assessment protocol, a more accurate classification of military personnel was achieved, surpassing traditional methods used in sedentary obese populations. The study advocates the future adoption of an assessment model based on artificial intelligence (AI) algorithms, which consider the multifaceted nature of body composition and its impact on operational capability. Such a model would enable military forces to optimize their personnel's physical fitness and readiness, thus enhancing their effectiveness in deployment operations.

La preparación militar depende en gran medida de la aptitud física y la capacidad operativa de su personal. Este estudio tiene como objetivo mejorar la eficacia de los protocolos de evaluación y clasificación de la composición corporal dentro del contexto militar. Se realizó una evaluación integral de 4.370 militares chilenos en servicio activo, centrándose en las características antropométricas, incluido el tejido adiposo, el tejido muscular y los índices antropométricos. El estudio observó diferencias significativas en la composición corporal entre sexos, con los hombres exhibiendo niveles más bajos de porcentaje de grasa corporal (hombres: 26,28 %; mujeres: 34,62 %) pero niveles más altos de masa muscular (hombres: 42,0 %; mujeres: 36,0 %;), índice de músculo esquelético (hombres: 11,81; mujeres: 9,31) e índice de masa magra (hombres: 19,92; mujeres: 18,45) en comparación con las mujeres. Se observaron altos niveles de tejido muscular en ambos grupos. Al integrar estos hallazgos en un protocolo de evaluación estandarizado, se logró una clasificación más precisa del personal militar, superando los métodos tradicionales utilizados en poblaciones obesas sedentarias. El estudio aboga por la adopción futura de un modelo de evaluación basado en algoritmos de inteligencia artificial (IA), que consideren la naturaleza multifacética de la composición corporal y su impacto en la capacidad operativa. Un modelo de este tipo permitiría a las fuerzas militares optimizar la aptitud física y la preparación de su personal, mejorando así su eficacia en las operaciones de despliegue.

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SUMMARY: The aim of this study was to establish an age-related dynamic of change model for predicting changes in body composition indicators in professional firefighters. The study included a total sample of 145 subjects, comprising professional firefighters from Serbia (Age: 36.6 ± 7.6 yrs., Min - Max: 21.0 - 52.0 yrs.). Four basic variables were analysed: Body Mass - BM, Body Fat Mass - BFM, Skeletal Muscle Mass - SMM, and Visceral Fat Area - VFA, as well as five derived, or index, variables: Body Mass Index - BMI, Percentage of Body Fat - PBF, Percentage of Skeletal Muscle Mass - PSMM, Protein-Fat Index - PFI, and Index of Body - IBC Composition. The results showed a statistically significant dynamic of change as a function of age for eight of the examined variables, while only one (Skeletal Muscle Mass - SMM) was not statistically significant. The highest statistical significance in terms of dynamics of change as a function of age was found for the variable VFA (F = 35.241, p = 000) and the variable PSMM (F = 31.398, p = 0.000). Professional firefighters in Serbia fall into the category of people with normal nutritional indicators. However, due to a dominant increase in visceral fat (VFA) combined with a dominant decrease in the proportion of skeletal muscles in the body (PSMM), it can be concluded that they are exposed to a risk of developing various chronic diseases, while their working conditions, which promote certain negative lifestyle habits, also contribute to the observed increase in body fat components.

El objetivo de este estudio fue establecer un modelo de dinámica de cambio relacionada con la edad para predecir cambios en los indicadores de composición corporal en bomberos profesionales. El estudio incluyó una muestra total de 145 sujetos, incluidos bomberos profesionales de Serbia (Edad: 36,6 ± 7,6 años, mín. - máx.: 21,0 - 52,0 años). Se analizaron cuatro variables básicas: Masa Corporal - MC, Masa Grasa Corporal - MGC, - Masa Muscular Esquelética - MME y Área Grasa Visceral - AGV, así como cinco variables derivadas o indexadas: Índice de Masa Corporal - IMC, Porcentaje de grasa corporal - PGC, porcentaje de masa muscular esquelética - PMME, índice proteína-grasa - IPG e índice de composición corporal - ICC. Los resultados mostraron una dinámica de cambio estadísticamente significativa en función de la edad para ocho de las variables examinadas, mientras que sólo una, MME no fue estadísticamente significativa. La mayor significancia estadística en términos de dinámica de cambio en función de la edad se encontró para la variable AGV (F = 35,241, p = 000) y la variable PMME (F = 31,398, p = 0,000). Los bomberos profesionales de Serbia pertenecen a la categoría de personas con indicadores nutricionales normales. Sin embargo, debido a un aumento dominante de la grasa visceral combinado con una disminución dominante de la PMME, se puede concluir que están expuestos a un riesgo de desarrollar diversas enfermedades crónicas, mientras que las condiciones de trabajo, que promueven ciertos hábitos de vida negativos, también contribuyen al aumento observado de los componentes de la grasa corporal.

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El análisis de impedancia bioeléctrica (BIA) es un método relativamente económico, rápido y no invasivo para la determinación de la composición corporal. El ángulo de fase (PhA) es un indicador de la salud celular y de la integridad de la membrana y parece estar relacionado con la capacidad física y el rendimiento deportivo. El objetivo de este estudio fue el de analizar las posibles relaciones entre PhA y el porcentaje de masa muscular esquelética (SMM%) y entre PhA y el porcentaje de masa grasa (FM%) en una población caucásica sana, con un amplio rango de edad. Se analizaron 210 sujetos caucásicos sanos (99 mujeres y 111 hombres), de edades comprendidas entre 20 y 70 años. Se utilizó un dispositivo BIA mano-pie (BIA-101, AKERN-Srl, Firenze, Italy) para la determinación de los parámetros bioeléctricos y un escáner DXA de cuerpo entero QDR, serie Horizon (Hologic Inc., Bedford, MA, USA) para la determinación de SMM% y FM%. Se observaron correlaciones significativas positivas fuertes entre PhA y SMM%, independientemente de la franja de edad, (0,520-0,687; p < 0,01) y correlaciones significativas negativas fuertes (o moderadas/fuertes) entre PhA y FM% (0,492-0,657; p < 0,01), también independientemente de la franja de edad. Estas correlaciones indican que PhA podría utilizarse como marcador para ver la evolución de un sujeto activo, sea deportista o no. Se recomienda, por tanto, el desarrollo y la validación de nuevas ecuaciones para determinar la masa muscular y la masa grasa, que incluyan PhA como parámetro bioeléctrico.

SUMMARY: Bioelectrical impedance analysis (BIA) is a non-invasive, economic and fast method for body composition assessment. Phase angle (PhA) is considered an indicator of cellular health and cell membrane integrity, and it seems to be related to physical capacity and performance. The aim of this study was to analyze the possible relationships between PhA and skeletal muscle mass percentage (SMM%) and between PhA and fat mass percentage (FM%) in a healthy Caucasian population with a wide age range. 210 healthy Caucasian participants (99 women and 111 men), aged 20-70 years were analyzed. A BIA foot-to-hand body composition analyzer (BIA-101, AKERN-Srl, Firenze, Italy) was used to determine bioelectrical parameters, and a whole body DXA scanner QDR, serie Horizon (Hologic Inc., Bedford, MA, USA) was used for SMM% and FM% assessment. Irrespective of age range, strong positive significant correlations were observed between PhA and SMM% (0.520-0.687; p < 0.01) and strong (or moderate/strong) negative significant correlations were observed between PhA and FM% (0.492-0.657; p < 0.01). These correlations indicate that PhA could be used as a marker to monitor the evolution of an active subject, whether an athlete or not. It would be useful to develop and validate new equations for skeletal muscle mass and fat mass assessment, which include PhA as a bioelectrical parameter.

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BACKGROUND: The vegan diet (VEGD) has gained popularity in recent years for ecological and ethical reasons, as well as for its health benefits. In addition to the type of diet, the resistance training program (RTP) plays a fundamental role as one of the main natural anabolic stimuli to increase musculoskeletal mass and reduce fat mass. METHODS: The study was a 16-week non-randomized controlled clinical trial consisting of three RTP sessions per week. The sample included 70 Chilean individuals, aged between 18 and 59 years, who had been following a VEGD or omnivorous diet (OMND) for the past 6 months. Four groups were established: Vegan Diet Resistance Training Program (VEGD-RTP), Vegan Diet Control (VEGD-C), Omnivorous Diet Resistance Training Program (OMND-RTP), and Omnivorous Diet Control (OMND-C). RESULTS: The sample consisted of 47 women and 23 men, with a mean age of 30.1 (±8.6) years. A reduction of 1.20% in the percentage of fat mass (%FM) was observed in the VEGD-RTP group (r = 0.554, p = 0.016), as well as a reduction of 0.70 kg in kilograms of fat mass (KFM) (r = 0.480, p = 0.036). The OMND-RTP group decreased %FM by 0.90% (r = 0.210, p = 0.432) and KFM by 0.50 kg (r = 0.109, p = 0.683). CONCLUSIONS: RTP combined with VEGD or OMND significantly reduced the percentage of fat mass, although its effect was more significant in the VEGD-RTP participants.

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BACKGROUND & AIMS: The association of Prognostic Nutritional Index (PNI) with prognosis has been established for various cancer types, including rectal cancer. However, the precise relationship between PNI and body composition characteristics in patients with non-metastatic rectal cancer remain unclear. This study aimed to investigate the impact of PNI on overall survival and disease-free survival in non-metastatic rectal cancer patients undergoing total surgical resection. Additionally, it sought to assess the inflammatory status and body composition in patients across different PNI levels. METHODS: Patients with non-metastatic rectal cancer who underwent total surgical resection, were consecutively enrolled. PNI was calculated using the formula: PNI = (10 × serum albumin [g/dl]) + (0.005 × lymphocytes/µL). Body composition was assessed using CT-derived measurements and laboratory tests performed at diagnosis were used to calculate inflammatory indices. Univariate and multivariate logistic regression analyses as well as Kaplan-Meier curves were used to determine prognostic values. RESULTS: A total of 298 patients were included. Patients with low PNI demonstrated significantly reduced overall survival and disease-free survival compared to those with high PNI (Hazard ratio [HR] 1.85; Confidence interval [CI] 1.30-2 0.62; p = 0.001). Moreover, patients with low PNI exhibited heightened systemic inflammatory status and reduced skeletal muscle index, increased muscle radiodensity, as well as a decrease in subcutaneous adipose tissue area, subcutaneous fat index, and low attenuation of both subcutaneous and visceral adipose tissue. CONCLUSION: The PNI, assessed prior to treatment initiation, serves as a prognostic biomarker for non-metastatic rectal cancer patients undergoing total surgical resection and is linked with both inflammation and alterations in body composition.

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OBJECTIVE: To investigate the association of mental health in childhood and adolescence with four outcomes at 18 years: ultra-processed food (UPF) consumption, body mass index (BMI), excessive weight (EW), and body composition, including fat mass (FM) and fat free mass (FFM) in kg, FM index (FMI) and FFM index (FFMI) in kg/m2. METHODS: Cohort study in which The Development and Well-Being Assessment (DAWBA) (6 and 11 years) and the MINI International Neuropsychiatric Interview (MINI) (18 years) provided information on internalizing (INT), externalizing (EXT) and any mental disorder (ANY). The exposure was classified in: "never", "at 6 and/or 11 years", "at 18 years only" and "at 6, 11, and 18 years". Linear and logistic regression were run. All analyses were stratified by sex. RESULTS: A total of 2722 participants were analyzed. At 18 years, female with EXT disorders at 6 and/or 11 years presented higher BMI (ß: 1.70; 0.18-3.23), FM (ß: 4.74; 1.42-8.06), and FMI (ß: 1.53; 0.28-2.79) than those who never had. The odds of EW at 18 years was also higher in females with EXT disorders at 6 and/or 11 years (OR: 3.39; 1.56-7.36) and at the three time points (OR: 7.08; 1.69-29.59). Males with EXT disorders at 6 and/or 11 years presented higher FM (ß: 4.45; 1.85-7.06) and FMI (ß: 1.47; 0.63-2.31). CONCLUSIONS: Among children and adolescents showing symptoms of EXT disorders, weight should be monitored carefully, thus ultimately contributing to reduce the burden of EW in adolescence.

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The interaction between lifestyle--defined more specifically in health care as the personal exposome--and its implications on obesity and breast cancer development highlights the critical role of body composition and inflammation in these patients. There is clear evidence that the personal and internal exposome triggers biochemical, inflammatory, and metabolic reprogramming, which might favor ectopic lipid accumulation within the body, such as muscles. Additionally, the presence of excessive adipose tissue exacerbates these alterations in the internal exposome, resulting in cell damage and modifying body composition. Understanding the nexus between these lifestyle-induced exposome modifications, such as inflammation, and the resultant changes in body composition is crucial to assess the association with breast cancer progression and treatment responses. Various techniques can be used to evaluate body composition; one of those most used currently is bioelectrical impedance analysis. This analysis provides parameters, including phase angle (PhA), by which cellular health and metabolic activity can be assessed. In addition, PhA is a potential indicator of nutritional status and disease prognosis, as it has been linked to survival and quality of life in patients with cancer. Therefore, PhA might be used in daily oncology practice to implement an accurate nutritional intervention, reducing side effects and complications of oncology management, and improving quality of life during treatment and survival, even in patients with breast cancer with obesity or overweight. The aim of this review is to analyze the existing information on the current application of PhA in patients with breast cancer and its potential use as a tool to assess inflammatory response, identify malnutrition, and predict the deterioration of quality of life so that it could be proposed as an early indicator for nutritional interventions in this group of patients.

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BACKGROUND: The most frequent body composition alterations in post-COVID-19 syndrome include low muscle mass, dynapenia, sarcopenia, and obesity. These conditions share interconnected pathophysiological mechanisms that exacerbate each other. The relationship between body composition phenotypes and metabolic abnormalities in post-COVID-19 syndrome remains unclear. OBJECTIVE: To evaluate the association between body composition phenotypes and insulin resistance (IR) and metabolic abnormalities in non-diabetic individuals with post-COVID-19 syndrome. METHODS: A cross-sectional, single-center study involving 483 subjects with post-COVID-19 syndrome following moderate to severe acute COVID-19 requiring hospitalization. Individuals with diabetes, those who declined to participate, or those who could not be contacted were excluded. Body composition phenotypes were classified as normal weight, dynapenia, sarcopenia, dynapenic obesity, and sarcopenic obesity (SO). RESULTS: The average age was 52.69 ± 14.75 years; of note, 67.08% were male. The prevalence of body composition phenotypes was as follows: 13.25% were of normal weight, 9.52% had dynapenia, 9.94% had sarcopenia, 43.69% had obesity, 18.84% had dynapenic obesity, and 4.76% had SO. Additionally, 58.18% had IR. Obesity (OR: 2.98, CI95%; 1.64-5.41) and dynapenic obesity (OR: 4.98, CI95%; 1.46-6.88) were associated with IR. CONCLUSION: The most common body composition phenotypes were obesity, dynapenic obesity, and dynapenia. Furthermore, obesity and dynapenic obesity were associated with IR in post-COVID-19 syndrome.

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This study aimed to evaluate the prognostic value of thigh muscle assessed by CT images to predict overall mortality in patients with colorectal cancer (CRC). This was a multicenter cohort study including adults (≥ 18 years old) newly diagnosed with CRC, who performed a diagnostic computed tomography (CT) exam including thigh regions. CT images were analyzed to evaluate skeletal muscle (SM in cm2), skeletal muscle index (SMI in cm2/m2), and skeletal muscle density (SMD in HU). Muscle abnormalities (low SM, SMI, and SMD) were defined as the values below the median by sex. Kaplan-Meyer curves and hazard ratios (HRs) for low SM, SMI and SMD were evaluated for overall mortality, stratified by sex. A total of 257 patients were included in the final analysis. Patients' mean age was 62.6 ± 12.1 years, and 50.2% (n = 129) were females. In males, low thigh SMI was associated with shorter survival (log-rank P = .02). Furthermore, this low thigh SMI (cm2/m2) was independently associated with higher mortality rates (HR adjusted 2.08, 95% CI 1.03-4.18). Our additional findings demonstrated that low SMD was independently associated with overall mortality among early-stage patients (I-III) (HR adjusted 2.78, 95% CI 1.26-6.15).

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OBJECTIVE: To examine the relationship between the age-adjusted Charlson comorbidity index (A-CCI) with body composition and overall survival in patients newly diagnosed with colorectal cancer (CRC). RESEARCH METHODS AND PROCEDURES: In this cohort study, patients (≥ 18 years old) with CRC were followed for 36 months. Computed tomography images of the third lumbar were analyzed to determine body composition, including skeletal muscle area (SMA), skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Phenotypes based on comorbidity burden assessed by A-CCI and body composition parameters were established. RESULTS: A total of 436 participants were included, 50% male, with a mean age of 61 ± 13.2 years. Approximately half of the patients (50.4%) had no comorbidity, and the A-CCI median score was 4 (interquartile range: 3-6). A higher A-CCI score was a risk factor for 36-month mortality (HR = 3.59, 95% CI = 2.17-5.95). Low SMA and low SMD were associated with a higher A-CCI. All abnormal phenotypes (high A-CCI and low SMA; high A-CCI and low SMD; high A-CCI and high VAT) were independently associated with higher 36-month mortality hazard (adjusted HR 5.12, 95% CI 2.73-9.57; adjusted HR 4.58, 95% CI 2.37-8.85; and adjusted HR 2.36, 95% CI 1.07-5.22, respectively). CONCLUSION: The coexistence of comorbidity burden and abnormal body composition phenotypes, such as alterations in muscle or fat compartments, may pose an additional risk of mortality in patients newly diagnosed with CRC. Early assessment and management of these phenotypes could be crucial in optimizing outcomes in such patients.

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