Latinos comprise 18.9% of the population in the United States and are the largest and fastest growing minority group. Obesity prevalence was 26.2% among Hispanic children compared to 16.6% among non-Hispanic White children. The obesity epidemic among Latino children has been growing rapidly over the past three decades. Multiple barriers, such as lack of culturally appropriate screening tools, language, and lack of access to nutritional assessment and expert consultation, prevents screening of Latino children and further nutritional guidance. For this reason, prevention efforts such as the use of nutritional screening tools is required for early intervention, more so with populations such as Hispanics that are already at higher risk. To prevent the further divide and increased prevalence of obesity, malnutrition, and food insecurity within this group, it is necessary to develop validated, reliable, and culturally competent screening tools that consider the population cultural background. While nutritional screening tools exist and have been validated in English and even translated into Spanish, there are distinct cultural and geographic eating patterns associated with different diet-related disease rates. As we recognize different benefits and results from varying diets, this leads to the conclusion that differing cultural dietary practices present within the Hispanic population in the United States require more than just a translation of existing validated screening tools. The purpose of this project is to develop a Spanish nutrition screening tool for 3-5-year-old children to be used by Spanish-speaking parents in community settings, to appropriately address malnutrition risk factors with cultural sensitivity. To achieve validity of this screening tool, this study had two phases. Phase 1 established face and content validity and phase 2 established criterion validity. This paper will focus on criterion validity. The Spanish nutrition screening tool results were compared to the dietitian assessment risk rating classification using Chi-Square to determine the sensitivity, specificity, positive and negative predictive value of the screening tool. After a comparison between the nutritional assessment and the nutrition screening tool, the tool proved to have a sensitivity of 91.67% and a specificity of 81.48%.

<p>MobileMe is a recently developed system for monitoring and recording physiological variables. It is wireless, and can therefore be suitable for field research, for example when measuring motion sickness symptoms.</p><p>The aim of this thesis was to conclude whether the MobileMe recording system was valid for research studies. A validation study, consisting of two parts and including 10 subjects, was performed. The first part was a laboratory study, where data from MobileMe and a reference equipment were compared. A field study was also performed, onboard a combat boat, to determine the equipment’s validity in uncontrolled environments. Furthermore, the field study included an investigation of motion sickness symptoms, and provided data for evaluation of motion sickness rating scales.</p><p>Statistical results from the laboratory study, and results from evaluation of data from the field study, showed that MobileMe was valid in both controlled and uncontrolled environments.</p>

MobileMe is a recently developed system for monitoring and recording physiological variables. It is wireless, and can therefore be suitable for field research, for example when measuring motion sickness symptoms. The aim of this thesis was to conclude whether the MobileMe recording system was valid for research studies. A validation study, consisting of two parts and including 10 subjects, was performed. The first part was a laboratory study, where data from MobileMe and a reference equipment were compared. A field study was also performed, onboard a combat boat, to determine the equipment’s validity in uncontrolled environments. Furthermore, the field study included an investigation of motion sickness symptoms, and provided data for evaluation of motion sickness rating scales. Statistical results from the laboratory study, and results from evaluation of data from the field study, showed that MobileMe was valid in both controlled and uncontrolled environments.