Because of the high and rapidly increasing cost of health care, wellness has become a significant issue for both health care practitioners and the general public. This research examines the issue of wellness and seeks to develop a model that identifies the factors that are most significant in explaining why people engage in wellness activities. A questionnaire was mailed to a sample (n = 499) randomly selected from the general population of the United States. Predictor variables are the demographic variables of age, income, education and gender together with the cognitive variables of self-actualization, benefits of wellness behavior, health locus of control and threat to health. Dependent variables are the health-seeking behaviors of exercise, stress management, nutrition, health responsibility and social support. Canonical correlation, t-tests, regression and analysis of variance are used to analyze the data. Chapter one presents two existing health models. The first presents prevention or threat to health and the second proposes self-actualization as motivating wellness behavior. The research model combines the two models. Chapter two presents relevant studies in the literature regarding use of multivariate models in consumer behavior, dimensions of wellness and empirical findings of wellness-related research. Chapter three presents the research hypotheses, research design …

The purpose of this research was to examine how the intervening variable of comparative well-being (which is how persons view their age, financial resources, and health compared to others of their own age) will enhance the significance of the relationship between selected demographic and psychographic variables and perceived risk. Specifically, the research investigated the structural relationship between comparative well-being in four different statistical models: (1) as an independent predictor of perceived risk; (2) as an intensifier of the psychographic and demographic predictors of perceived risk; (3) as a covariate of perceived risk; and (4) finally, as a jointly dependent variable with perceived risk. This approach was pursued in an effort to enhance the traditional marketing use of demographic and psychographic variables in predictingconsumer buying behavior. The data for this study were gathered as part of a national consumer-panel mail survey utilizing approximately 3,000 households. The research instrument was a self-administered questionnaire which collected demographic, psychographic, and perceived risk information from purchasers of apparel wear. Data analysis included descriptive statistics, Pearson product moment correlation analysis, factor analysis, analysis of variance (ANOVA), and multivariate analysis of variance (MANOVA). The findings have identified the importance of how consumers position themselves in society, based …

Female teenagers have been found to be the most affluent teens according to the Rand Youth Poll's nationwide survey. The survey finds the average weekly income from female teens age 16 to 19 to be $82, with $50 from earnings and the balance from their allowances. Other findings from the survey indicate that adolescent girls receive more than adolescent males in allowance from parents, as mothers understand the need for the female teen to have the income necessary to purchase clothing and cosmetics. Past research studies have attempted to measure the influence sources on teenagers when purchasing clothing by asking teens to rank different influence sources or by asking the teens who accompany them when shopping. The current research study develops a structural equation model that allows for the comparison of the three predominant influence sources identified in the consumer socialization literature, i.e., parental influence, peer influence, and promotional communications sought out by the teen. To test the model, 206 randomly selected female teenagers completed a mail questionnaire regarding the influences on clothing interest. The female teens were all members of a non-denominational youth group, age 13 to 19, living in the North Texas region. The model derived is only …

The first objective of this research was to identify whether Asian-Americans having higher than average levels of income and education represent an appropriate target market for four food product categories. Second, the impact of national origin membership, demographic variables, and level of acculturation on food consumption was determined. In addition, perceptions related to sensory and nutritional factors and the cultural acceptability of the products were identified and interpreted to determine if the variables differed among specific groups of Asian-American consumers.