Does corporate reputation matter? Role of social media in consumer intention to purchase innovative food product

The exponential growth of the corporate reputation in food industry has resulted in innovations in every link of its supply chain. There have been studies that have characterized innovation in various industries from the perspective of technology, but far fewer in the area of corporate reputation, consumer perception, and intention towards innovations in food products. This research analyses the innovations in the food industry from the perspective of the consumer and provides a conceptual framework of food innovation stages. The study also investigates the relationship between corporate reputation and intention towards food innovation along with the other components of TPB model with an extension of social media engagement. The results from India and US samples confirm that social media engagement have a significant role to play in creating intention to purchase innovative food products. The study compares the US and Indian samples and identifies differences in subjective norms and perceived behavioural control

Continuous Glucose Monitoring, Type 2 Diabetes and Hemoglobin A1C: An Integrative Review

Continuous glucose monitors (CGMs) are used to measure a patient’s glucose levels every few minutes around the clock. According to the National Institute of Diabetes and Digestive and Kidney Disease (NIDDK), CGMs are mostly used by Type 1 Diabetes Mellitus patients, but research has shown that Type 2 DM patients can benefit from them as well (Ida et al., 2019; NIDDK, 2017). Glucose levels can change over hours or days, and seeing the trends by using a CGM will help patients make more informed decisions about the food they eat and how much they exercise, and the type and amount of medication they take (NIDDK, 2021). The use of CGMs allows more control over a patient’s disease process and promotes better health maintenance. The final outcome of using CGMs is lowering hemoglobin A1c levels. When glucose is monitored continuously, trends can be seen, hyperglycemic episodes, which may require a medication adjustment or an increase in exercise regimen, will be seen. This is especially beneficial for those who are hypoglycemic unaware, as food or glucose can be given to bring glucose levels to normal. Each of these adjustments keeps the glucose in the body at a more stable level, and ultimately, HbA1c levels will become lower as well

The Effect of Quality of Movement on the Single Hop Test in Soccer Players Aged 15-16 Years

Sports injuries are one of the most common injuries in modern society. The anterior cruciate ligament (ACL) is commonly injured in sports. Soccer is one of many sports where an ACL injury is likely to occur, due to inherent jumping and pivoting during participation. Abnormal movement patterns have been suggested as a risk factor for knee injuries, which lead to the development of the step-down test. The Single Leg Hop for Distance test is used to assess functional performance in individuals with an ACL injury or reconstruction. The purpose of the current study was to determine if there are differences in hop test distances according to scores on the step-down test. A second purpose is to determine the relationship between hop test distances and height. Sixty-one males and sixty-one females between 15 and 16 years who participated in a club soccer program participated in the study. The Hop test and the step-down test were administered to the subjects. Mean hop distance for males was 172.89 cm (SD = 18.27) and the mean hop distance for females was 146.88 cm (SD = 14.63). For both males and females, there were no differences in hop distances between the left and right lower extremity (LE). There were no differences in hop distances according to classification of the step-down test for males. Females classified as good by the step-down test hopped farther than females classified as poor. There were no relationships between distances in the hop test and height in females (r = .23 for the left LE; .21 for the right LE). There was a low relationship between distances in the hop test and height in males (r = .46 for the left LE; .39 for the right LE). Clinicians may utilize this information for goal setting and objective testing during rehabilitation

Prevalence and Predictors of Anxiety Disorders in Adolescent and Adult Males with Autism Spectrum Disorder and Fragile X Syndrome

Anxiety disorders affect ~ 15-20% of youths without neurodevelopmental disorders, with persons having autism spectrum disorder (ASD) and fragile X syndrome (FXS) at elevated risk for anxiety disorders. Few studies have compared rates and predictors of anxiety disorders in adolescents with FXS or ASD. This study directly compares rates, predictors, and medication of anxiety disorders between age-matched, male adolescents with FXS (n = 31) or ASD (n = 20). Results indicate that 51.6% of FXS and 50.0% of ASD adolescents met criteria for an anxiety disorder. Cognitive scores and ASD severity did not predict anxiety. Of those with anxiety, ~ 40% of the FXS and 20% of the ASD participants were prescribed medications for anxiety

Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment

Infectious diseases are changing due to the environment and altered interactions among hosts, reservoirs, vectors, and pathogens. This is particularly true for zoonotic diseases that infect humans, agricultural animals, and wildlife. Within the subset of zoonoses, vector-borne pathogens are changing more rapidly with climate change, and have a complex epidemiology, which may allow them to take advantage of a changing environment. Most mosquito-borne infectious diseases are transmitted by mosquitoes in three genera: Aedes, Anopheles, and Culex, and the expansion of these genera is well documented. There is an urgent need to study vector-borne diseases in response to climate change and to produce a generalizable approach capable of generating risk maps and forecasting outbreaks. Here, we provide a strategy for coupling climate and epidemiological models for zoonotic infectious diseases. We discuss the complexity and challenges of data and model fusion, baseline requirements for data, and animal and human population movement. Disease forecasting needs significant investment to build the infrastructure necessary to collect data about the environment, vectors, and hosts at all spatial and temporal resolutions. These investments can contribute to building a modeling community around the globe to support public health officials so as to reduce disease burden through forecasts with quantified uncertainty