This study describes the results on stress level and stress coping strategies used by women - the personnel working in the Defence System of Lithuania. The research was based on two questionnaires. The results showed that the average stress level and the values of coping strategies are similar to other studies, but differ according to age and number of kids. This pilot study initialized the following research on military stress sources.
This study describes the results on stress level and stress coping strategies used by women - the personnel working in the Defence System of Lithuania. The research was based on two questionnaires. The results showed that the average stress level and the values of coping strategies are similar to other studies, but differ according to age and number of kids. This pilot study initialized the following research on military stress sources.
This study describes the results on stress level and stress coping strategies used by women - the personnel working in the Defence System of Lithuania. The research was based on two questionnaires. The results showed that the average stress level and the values of coping strategies are similar to other studies, but differ according to age and number of kids. This pilot study initialized the following research on military stress sources.
This study describes the results on stress level and stress coping strategies used by women - the personnel working in the Defence System of Lithuania. The research was based on two questionnaires. The results showed that the average stress level and the values of coping strategies are similar to other studies, but differ according to age and number of kids. This pilot study initialized the following research on military stress sources.
Lithuania is still among the leading countries with the highest number of suicides in the population. A retrospective analysis was carried out on manual data of military servicemen suicide cases in the Lithuanian Armed Forces during the period 2005-2015. Most of the cases were younger aged, lower rank soldiers. Right after each suicide act, the Psychological Support Programme was presented to the family members and colleagues as well as group meetings and educational lectures for leaders on the recognition of early suicidal signs. Moreover, the Department of Military Psychology established a goal of having a psychologist in every military region or bigger unit, in order to make psychological help more attainable. For this reason, the numbers of psychological consultations, counselling and seminars significantly increased. Finally, groups of psychotherapy in the churches announced by military chaplains as help for persons in bereavement started in two cities. We think that all of these efforts made an impact on rates of suicides decreasing from 4-5 per year to 0-2.
Lithuania is still among the leading countries with the highest number of suicides in the population. A retrospective analysis was carried out on manual data of military servicemen suicide cases in the Lithuanian Armed Forces during the period 2005-2015. Most of the cases were younger aged, lower rank soldiers. Right after each suicide act, the Psychological Support Programme was presented to the family members and colleagues as well as group meetings and educational lectures for leaders on the recognition of early suicidal signs. Moreover, the Department of Military Psychology established a goal of having a psychologist in every military region or bigger unit, in order to make psychological help more attainable. For this reason, the numbers of psychological consultations, counselling and seminars significantly increased. Finally, groups of psychotherapy in the churches announced by military chaplains as help for persons in bereavement started in two cities. We think that all of these efforts made an impact on rates of suicides decreasing from 4-5 per year to 0-2.
Lithuania is still among the leading countries with the highest number of suicides in the population. A retrospective analysis was carried out on manual data of military servicemen suicide cases in the Lithuanian Armed Forces during the period 2005-2015. Most of the cases were younger aged, lower rank soldiers. Right after each suicide act, the Psychological Support Programme was presented to the family members and colleagues as well as group meetings and educational lectures for leaders on the recognition of early suicidal signs. Moreover, the Department of Military Psychology established a goal of having a psychologist in every military region or bigger unit, in order to make psychological help more attainable. For this reason, the numbers of psychological consultations, counselling and seminars significantly increased. Finally, groups of psychotherapy in the churches announced by military chaplains as help for persons in bereavement started in two cities. We think that all of these efforts made an impact on rates of suicides decreasing from 4-5 per year to 0-2.
Lithuania is still among the leading countries with the highest number of suicides in the population. A retrospective analysis was carried out on manual data of military servicemen suicide cases in the Lithuanian Armed Forces during the period 2005-2015. Most of the cases were younger aged, lower rank soldiers. Right after each suicide act, the Psychological Support Programme was presented to the family members and colleagues as well as group meetings and educational lectures for leaders on the recognition of early suicidal signs. Moreover, the Department of Military Psychology established a goal of having a psychologist in every military region or bigger unit, in order to make psychological help more attainable. For this reason, the numbers of psychological consultations, counselling and seminars significantly increased. Finally, groups of psychotherapy in the churches announced by military chaplains as help for persons in bereavement started in two cities. We think that all of these efforts made an impact on rates of suicides decreasing from 4-5 per year to 0-2.
The aim of this study was to assess the anthropometrical data and physical fitness of soldiers according to the sociodemographic characteristics during one-year compulsory military service. The height and weight of 197 soldiers were measured at the beginning and at the end of their service, and body mass index was calculated. The physical fitness was evaluated using index of ability on the basis of 2 km walking test. Conscripts from cities were taller than conscripts from rural areas. At the beginning of the service every fifth was overweight (25 body mass index <30 kg/m2) or obese (body mass index 30 kg/m2): 17.9% of conscripts from rural areas as well as 17.6% from urban were overweight and 1.9% from rural as well as 1.1% from urban areas were obese. A tendency that the weight of conscripts gradually increased with the level of education was observed. There were no significant differences in index of ability according to the level of soldiers' education as well as place of residence. During one-year service the height of soldiers did not change, however, their weight increased in average by 5.5±4.5 kg (p<0.01). The part of overweight persons at the end of the service increased 2.3-fold. Physical fitness of soldiers after one-year service significantly decreased compared with the beginning of the service. In order to decrease the rate of overweight soldiers and to increase their physical fitness the health promotion programs in Lithuanian Army are needed.
The aim of this study was to assess the anthropometrical data and physical fitness of soldiers according to the sociodemographic characteristics during one-year compulsory military service. The height and weight of 197 soldiers were measured at the beginning and at the end of their service, and body mass index was calculated. The physical fitness was evaluated using index of ability on the basis of 2 km walking test. Conscripts from cities were taller than conscripts from rural areas. At the beginning of the service every fifth was overweight (25 body mass index <30 kg/m2) or obese (body mass index 30 kg/m2): 17.9% of conscripts from rural areas as well as 17.6% from urban were overweight and 1.9% from rural as well as 1.1% from urban areas were obese. A tendency that the weight of conscripts gradually increased with the level of education was observed. There were no significant differences in index of ability according to the level of soldiers' education as well as place of residence. During one-year service the height of soldiers did not change, however, their weight increased in average by 5.5±4.5 kg (p<0.01). The part of overweight persons at the end of the service increased 2.3-fold. Physical fitness of soldiers after one-year service significantly decreased compared with the beginning of the service. In order to decrease the rate of overweight soldiers and to increase their physical fitness the health promotion programs in Lithuanian Army are needed.
This research aims to predict conscripts' task cohesion in groups using artificial neural network modelling (NNM). The prediction of task cohesion during military conscription lies on two domains of research. The first is related to team cohesion, its deconstruction, and its measurement, while the second is allied to nonlinear modelling in group behaviour research. To predict this multidimensional and complex phenomenon, the multilayer perceptron (MLP) and the radial basis function (RBF) neural networks are used. As a result, the team cohesion in conscript groups, which is a key variable in conscription service effectiveness, was predicted with high accuracy (MPL MOD2= 88% and RBF MOD8=90%) by the models created. The performed modeling shows that according to MPL MOD2 norm cohesion has 100% of normalized importance, while according to RBF MOD8, interpersonal cohesion is the best predictor (normalized importance=100%) for task cohesion in groups during conscription service.
The present study aims to elucidate the main variables that increase the level of stress at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey was conducted to generate data for the training and testing of the ANN models. Using nonlinearity in stress research, numerous ANN structures were constructed and verified to limit the optimal number of neurons, hidden layers, and transfer functions. The highest accuracy was obtained by the multilayer perceptron neural network (MLPNN) with a 6-2-2 partition. A standardized rescaling method was used for covariates. For the activation function, the hyperbolic tangent was used with 20 units in one hidden layer as well as the back-propagation algorithm. The best ANN model was determined as the model that showed the smallest cross-entropy error, the correct classification rate, and the area under the ROC curve. These findings show, with high precision, that cohesion in a team and adaptation to military routines are two critical elements that have the greatest impact on the stress level of conscripts.
This research aims to predict conscripts' task cohesion in groups using artificial neural network modelling (NNM). The prediction of task cohesion during military conscription lies on two domains of research. The first is related to team cohesion, its deconstruction, and its measurement, while the second is allied to nonlinear modelling in group behaviour research. To predict this multidimensional and complex phenomenon, the multilayer perceptron (MLP) and the radial basis function (RBF) neural networks are used. As a result, the team cohesion in conscript groups, which is a key variable in conscription service effectiveness, was predicted with high accuracy (MPL MOD2= 88% and RBF MOD8=90%) by the models created. The performed modeling shows that according to MPL MOD2 norm cohesion has 100% of normalized importance, while according to RBF MOD8, interpersonal cohesion is the best predictor (normalized importance=100%) for task cohesion in groups during conscription service.
The present study aims to elucidate the main variables that increase the level of stress at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey was conducted to generate data for the training and testing of the ANN models. Using nonlinearity in stress research, numerous ANN structures were constructed and verified to limit the optimal number of neurons, hidden layers, and transfer functions. The highest accuracy was obtained by the multilayer perceptron neural network (MLPNN) with a 6-2-2 partition. A standardized rescaling method was used for covariates. For the activation function, the hyperbolic tangent was used with 20 units in one hidden layer as well as the back-propagation algorithm. The best ANN model was determined as the model that showed the smallest cross-entropy error, the correct classification rate, and the area under the ROC curve. These findings show, with high precision, that cohesion in a team and adaptation to military routines are two critical elements that have the greatest impact on the stress level of conscripts.
This research aims to predict conscripts' task cohesion in groups using artificial neural network modelling (NNM). The prediction of task cohesion during military conscription lies on two domains of research. The first is related to team cohesion, its deconstruction, and its measurement, while the second is allied to nonlinear modelling in group behaviour research. To predict this multidimensional and complex phenomenon, the multilayer perceptron (MLP) and the radial basis function (RBF) neural networks are used. As a result, the team cohesion in conscript groups, which is a key variable in conscription service effectiveness, was predicted with high accuracy (MPL MOD2= 88% and RBF MOD8=90%) by the models created. The performed modeling shows that according to MPL MOD2 norm cohesion has 100% of normalized importance, while according to RBF MOD8, interpersonal cohesion is the best predictor (normalized importance=100%) for task cohesion in groups during conscription service.
