Piloting Signs of Safety : A Deaf-Accessible Toolkit for Trauma and Addiction

The Deaf community - a minority group of 500,000 Americans who use American Sign Language (ASL) - experiences trauma and addiction at rates double to the general population. Yet, there are no evidence-based treatments that have been evaluated to treat trauma, addiction, or other behavioral health conditions among Deaf people. Current evidence-based treatments fail to meet the needs of Deaf clients. One example is Seeking Safety, a well-validated therapy for people recovering from trauma and addiction. Seeking Safety includes a therapist guide and client handouts for 25 therapy sessions, each teaching clients a safe coping skill. When Seeking Safety was used with Deaf clients, unique barriers were revealed with regard to the client materials: they were presented in complex English instead of ASL, nor sensitive to Deaf people’s culture, social norms, and history of oppression. To address these barriers, Dr. Anderson assembled a team of Deaf and hearing researchers, clinicians, filmmakers, actors, artists, and Deaf people in recovery to develop Signs of Safety, a Deaf-accessible toolkit to be used with Seeking Safety. Signs of Safety is comprised of a therapist companion guide and population-specific client materials, including visual handouts and ASL teaching stories on digital video, which present key learning points via an “educational soap opera.” Dr. Anderson is currently leading a pilot study of Signs of Safety. Preliminary results show that participants are reporting symptom reduction from baseline to follow-up and high levels of satisfaction with the model, giving us the confidence to further pursue this line of research

Symptom Patterns of Posttraumatic Stress Disorder among Deaf Trauma Survivors

Details about Deaf people’s pattern of posttraumatic stress disorder (PTSD) symptoms remain relatively unknown due to inaccessible methods used in most epidemiological research. We conducted semi-structured American Sign Language interviews with 16 trauma-exposed Deaf individuals to explore their PTSD symptom patterns. Half met criteria for current PTSD, a rate higher than the general population. Underlying this disparity may be heightened rates of dissociation and psychogenic amnesia reported by many Deaf trauma survivors. Future research with large samples of Deaf survivors is needed to clarify this hypothesis, and to inform interventions that more accurately target Deaf people’s pattern of trauma symptoms

Obesity status and physical fitness levels in male and female portuguese adolescents: a two-way multivariate analysis

Obesity and decreasing fitness levels among the youth are growing concerns in Portugal, similar to other developed countries, with implications for health and psychomotor development. Understanding the influence of health determinants such as sex and age are crucial for developing effective public health strategies. This study aimed to analyze the association between sex and chronological age with obesity status and physical fitness in Portuguese adolescents. A total of 170 adolescents (85 males and 85 females) were evaluated for body mass index, abdominal adiposity, aerobic fitness, abdominal resistance, upper limb resistance, lower limb power, and maximal running speed in a 40 m sprint using the FITescola® physical fitness battery, a Portuguese government initiative. The general model, analyzed using Pillai’s trace, showed a significant effect of age and sex on body mass index, abdominal circumference, aerobic fitness, abdominal resistance, upper limb resistance, lower limb power, and maximal running speed (V = 0.99, F (7) = 10,916.4, p < 0.001, partial η2, sex = 0.22; age = 0.43, sex and age interaction = 0.10). Boys had higher physical fitness levels than girls in most tests, but both sex groups had a significantly higher proportion of non-fit adolescents, with boys showing the highest number of participants classified as non-fit.This research was funded by the National Funds through FCT—Portuguese Foundation for Science and Technology (UIDB/DTP/04045/2020).info:eu-repo/semantics/publishedVersio

A Deep Learning Neural Network to Classify Obesity Risk in Portuguese Adolescents Based on Physical Fitness Levels and Body Mass Index Percentiles: Insights for National Health Policies

The increasing prevalence of overweight and obesity among adults is a risk factor for many chronic diseases and death. In addition, obesity among children and adolescents has reached unprecedented levels and studies show that obese children and adolescents are more likely to become obese adults. Therefore, both the prevention and treatment of obesity in adolescents are critical. This study aimed to develop an artificial intelligence (AI) neural network (NNET) model that identifies the risk of obesity in Portuguese adolescents based on their body mass index (BMI) percentiles and levels of physical fitness. Using datasets from the FITescola® project, 654 adolescents aged between 10–19 years old, male: 334 (51%), female: n = 320 (49%), age 13.8 ± 2 years old, were selected to participate in a cross-sectional observational study. Physical fitness variables, age, and sex were used to identify the risk of obesity. The NNET had good accuracy (75%) and performance validation through the Receiver Operating Characteristic using the Area Under the Curve (ROC AUC = 64%) in identifying the risk of obesity in Portuguese adolescents based on the BMI percentiles. Correlations of moderate effect size were perceived for aerobic fitness (AF), upper limbs strength (ULS), and sprint time (ST), showing that some physical fitness variables contributed to the obesity risk of the adolescents. Our NNET presented a good accuracy (75%) and was validated with the K-Folds Cross-Validation (K-Folds CV) with good accuracy (71%) and ROC AUC (66%). According to the NNET, there was an increased risk of obesity linked to low physical fitness in Portuguese teenagers.This project was supported by the National Funds through the FCT—Portuguese Foundation for Science and Technology (project UIDB/04045/2021).info:eu-repo/semantics/publishedVersio

Symptom Patterns of Posttraumatic Stress Disorder among Deaf Trauma Survivors

Details about Deaf people’s pattern of posttraumatic stress disorder (PTSD) symptoms remain relatively unknown due to inaccessible methods used in most epidemiological research. We conducted semi-structured American Sign Language interviews with 16 trauma-exposed Deaf individuals to explore their PTSD symptom patterns. Half met criteria for current PTSD, a rate higher than the general population. Underlying this disparity may be heightened rates of dissociation and psychogenic amnesia reported by many Deaf trauma survivors. Future research with large samples of Deaf survivors is needed to clarify this hypothesis, and to inform interventions that more accurately target Deaf people’s pattern of trauma symptoms

Developing Signs of Safety: A Deaf-accessible counselling toolkit for trauma and addiction

The U.S. Deaf community-more than half a million Americans who communicate using American Sign Language (ASL)-experiences higher rates of trauma exposure and substance use disorder (SUD) than the general population. Yet there are no evidence-based treatments for any behavioural health condition that have been evaluated for use with Deaf people. The driving aim of our work, therefore, has been to develop and formally evaluate a Deaf-accessible trauma/SUD counselling approach. Here we describe our initial intervention development work and a single-arm pilot that evaluated the feasibility, acceptability, and preliminary clinical efficacy of Signs of Safety-a Deaf-accessible toolkit to be used with an existing, widely adopted protocol for trauma and addiction (Seeking Safety). Preliminary efficacy results indicated clinically significant reductions in PTSD symptoms and frequency of alcohol use for the Seeking Safety/Signs of Safety model. Frequency of drug use did not change significantly-likely attributable to the mid-study legalization of recreational marijuana in our state. Next steps include the redesign and refilming of Signs of Safety based on pilot participant feedback, again using a Deaf-engaged development and production process. This new toolkit will be tested via a pilot randomized controlled trial designed based on present methodological lessons learned

Obesity status and physical fitness levels in male and female Portuguese adolescents: A two-way multivariate analysis

Obesity and decreasing fitness levels among the youth are growing concerns in Portugal, similar to other developed countries, with implications for health and psychomotor development. Understanding the influence of health determinants such as sex and age are crucial for developing effective public health strategies. This study aimed to analyze the association between sex and chronological age with obesity status and physical fitness in Portuguese adolescents. A total of 170 adolescents (85 males and 85 females) were evaluated for body mass index, abdominal adiposity, aerobic fitness, abdominal resistance, upper limb resistance, lower limb power, and maximal running speed in a 40 m sprint using the FITescola® physical fitness battery, a Portuguese government initiative. The general model, analyzed using Pillai\u27s trace, showed a significant effect of age and sex on body mass index, abdominal circumference, aerobic fitness, abdominal resistance, upper limb resistance, lower limb power, and maximal running speed (V = 0.99, F (7) = 10,916.4, p \u3c 0.001, partial η2, sex = 0.22; age = 0.43, sex and age interaction = 0.10). Boys had higher physical fitness levels than girls in most tests, but both sex groups had a significantly higher proportion of non-fit adolescents, with boys showing the highest number of participants classified as non-fit

A deep learning neural network to classify obesity risk in portuguese adolescents based on physical fitness levels and body mass index percentiles: Insights for national health policies

The increasing prevalence of overweight and obesity among adults is a risk factor for many chronic diseases and death. In addition, obesity among children and adolescents has reached unprecedented levels and studies show that obese children and adolescents are more likely to become obese adults. Therefore, both the prevention and treatment of obesity in adolescents are critical. This study aimed to develop an artificial intelligence (AI) neural network (NNET) model that identifies the risk of obesity in Portuguese adolescents based on their body mass index (BMI) percentiles and levels of physical fitness. Using datasets from the FITescola® project, 654 adolescents aged between 10–19 years old, male: 334 (51%), female: n = 320 (49%), age 13.8 ± 2 years old, were selected to participate in a cross-sectional observational study. Physical fitness variables, age, and sex were used to identify the risk of obesity. The NNET had good accuracy (75%) and performance validation through the Receiver Operating Characteristic using the Area Under the Curve (ROC AUC = 64%) in identifying the risk of obesity in Portuguese adolescents based on the BMI percentiles. Correlations of moderate effect size were perceived for aerobic fitness (AF), upper limbs strength (ULS), and sprint time (ST), showing that some physical fitness variables contributed to the obesity risk of the adolescents. Our NNET presented a good accuracy (75%) and was validated with the K-Folds Cross-Validation (K-Folds CV) with good accuracy (71%) and ROC AUC (66%). According to the NNET, there was an increased risk of obesity linked to low physical fitness in Portuguese teenagers