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War is one of the worst characteristics of human nature. Wars over territory, religion, and governance were and are always present through history. War and tourism seem dissonant at first glance. However, the post effects of war enable its components, such as battlefields and artefacts, to become tourist attractions. People share the impetus to visit war attractions such as battlefields, military museums, cemeteries, memorials, and other war-related sites. There is a supply for this type of tourism in exchange for the demand. This type of tourism is referred to in the literature as battlefield tourism. The meaning and definition of battlefield tourism are the main aim of this chapter. What is battlefield tourism? What are the components of battlefield tourism? How can battlefield tourism be defined? These are the primary questions this study tries to address.

A major concern for policymakers and researchers is to ascertain the movement of price levels and employment rates. Predicting the trends of these variables will assist the government in making policies to stabilize the economy. The objective of this chapter is to forecast the unemployment rate and Consumer Price Index (CPI) for the period 2022 to 2031 for the Indian economy. For this purpose, the authors analyse the prediction capability of the univariate auto-regressive integrated moving average (ARIMA) model and the vector autoregressive (VAR) model. The dataset for India's annual CPI and unemployment rate pertains to a 30-year time period from 1991 to 2021. The result shows that the inflation forecasts derived from the ARIMA model are more precise than that of the VAR model. Whereas, unemployment rate forecasts obtained from the VAR model are more reliable than that of the ARIMA model. It is also observed that predicted unemployment rates hover around 5.7% in the forthcoming years, while the forecasted inflation rate witnesses an increasing trend.

This chapter covers two behaviors that greatly affect college students’ mental health and wellbeing: eating and sleeping. The chapter begins with a definition of eating disorders and distinguishes clinically disordered eating from other forms of problematic eating. The chapter describes common eating disorders among college students: anorexia nervosa, bulimia nervosa, avoidant restrictive food intake disorder (ARFID) and binge eating disorder. The chapter then discusses measures of problematic eating among college students, including the SCOFF, the Eating Disorder Inventory and the Eating Concerns subscale of the Counseling Center Assessment of Psychological Symptoms (CCAPS). Next, the chapter discusses the prevalence of problematic eating among college students. Cultural considerations are described, with particular attention paid to gender, sexual orientation and ethnicity. Causes of problematic eating among college students are discussed, and the consequences of problematic eating are explored, from shame to medical complications to death. Treatment options are detailed, as are barriers to seeking professional help. The chapter follows a similar structure in covering healthy and problematic sleep behaviors among college students. In particular, the chapter explores measures of sleep quality, the prevalence of problematic sleep among college students, their causes and consequences, as well as strategies for correcting poor sleep and interventions for promoting healthy sleep habits.

Mental health is not simply the absence of psychological problems any more than physical health is the absence of disease. This chapter explores various aspects of optimal mental health and wellbeing among college students. It examines the question of what is required for college students to both feel their best and function at or near their highest levels. It also discusses the characteristics of peak mental health, including its transient nature. Predictive factors such as exercise, diet, sleep and social connection will be explored. Regarding the features of optimal wellbeing, the following variables are described: integrity, values, mindfulness, self-compassion, flow and resilience. These variables are considered in an integrated fashion as components, as well as byproducts, of wellness. Hettler’s multidimensional model of wellness is presented at the outset of the chapter, followed by Keyes’ theory of flourishing.