Anxiety is one of the most common mental illnesses in the United States. In this project, I chose to explore how food is one of the most accessible and inexpensive ways of treating anxiety. This creative project examines the major key components of gut health including the balance of neurotransmitters and bacteria in the gut, restoring hydrochloric acid through celery juice, removing heavy metal toxins through food, eating fermented foods, and limiting refined carbohydrates, and high-sugar consumption. Additionally, this creative project explores my own personal journey through the implementation of foods that influence anxiety revealed in a systemic review over the course of a 6-week period.
The purpose of this cookbook and ingredient index is to simplify the reasoning behind eating a plant based diet--including how it can be beneficial to your health, and what benefits each ingredient provides. These recipes have been cultivated and modified over time to provide nutritious meals that are also tasty. I was introduced to healthy eating at a young age, and have been fascinated by it ever since. The recipes and information conveyed about a plant based diet have come from the many books read and research I have done on the subject. This paper will walk you through how I started this journey, and go on to show a basic overview of what makes up the foods we consume and why we need them. The cookbook portion of my Thesis contains recipes for breakfast, lunch, dinner, snacks, sauces, and dessert. Following the cookbook is an ingredient index that goes through the majority of ingredients used in my recipes, and what health benefits they provide. I hope that by reading this, others will be inspired to use more plant-based whole foods in their diet, and realize the healing that can come from them.
Background: The number of days of pedometer or accelerometer data needed to reliably assess physical activity (PA) is important for research that examines the relationship with health. While this important research has been completed in young to middle-aged adults, data is lacking in older adults. Further, data determining the number of days of self-reports PA data is also void. The purpose of this study was to examine the number of days needed to predict habitual PA and sedentary behaviour across pedometer, accelerometer, and physical activity log (PA log) data in older adults.
Methods: Participants (52 older men and women; age = 69.3 ± 7.4 years, range= 55-86 years) wore a Yamax Digiwalker SW-200 pedometer and an ActiGraph 7164 accelerometer while completing a PA log for 21 consecutive days. Mean differences each instrument and intensity between days of the week were examined using separate repeated measures analysis of variance for with pairwise comparisons. Spearman-Brown Prophecy Formulae based on Intraclass Correlations of .80, .85, .90 and .95 were used to predict the number of days of accelerometer or pedometer wear or PA log daily records needed to represent total PA, light PA, moderate-to-vigorous PA, and sedentary behaviour.
Results: Results of this study showed that three days of accelerometer data, four days of pedometer data, or four days of completing PA logs are needed to accurately predict PA levels in older adults. When examining time spent in specific intensities of PA, fewer days of data are needed for accurate prediction of time spent in that activity for ActiGraph but more for the PA log. To accurately predict average daily time spent in sedentary behaviour, five days of ActiGraph data are needed.
Conclusions: The number days of objective (pedometer and ActiGraph) and subjective (PA log) data needed to accurately estimate daily PA in older adults was relatively consistent. Despite no statistical differences between days for total PA by the pedometer and ActiGraph, the magnitude of differences between days suggests that day of the week cannot be completely ignored in the design and analysis of PA studies that involve < 7-day monitoring protocols for these instruments. More days of accelerometer data were needed to determine typical sedentary behaviour than PA level in this population of older adults.