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There is always a significant amount of speculation as to how the American diet changes over time. Some of speculation is based on what’s good for people, and others base their speculation on various supply and demand issues and the impact of world social changes. However one approach to forecasting the demand for various food products in the American diet is to extrapolate how America’s eating habits would change based on two different scenarios. The first scenario is an cohort model. In this scenario individuals continue their eating habits as they get older. The second scenario is the aging model, with which it is assumed that as people age they adopt the eating habits of the group that they’re moving into.

In this chapter we will evaluate these two scenario-based extrapolation models for projecting food consumption. Data comes from the National Health and Nutrition Examination survey (NHANES), which is conducted regularly by the National Center for Health Statistics (NCHS). It measures levels of consumption with a level accuracy usually not associated with traditional business data services. The specific food items consumed in a 24-hour period are collected for over 30,000 people along with an extensive list of biometric, anthropometric, social, and clinical variables.

The models we evaluate assume that new consumers will enter the market based on projected population growth rates and that consumers “exit” the market based on projected death rates. This chapter applies the models to a subset of the total food variables in the database. Food groups that are pertinent to current issues were selected, such as beef, carbonated soft drinks, and snack foods.

The models forecast food consumption of the by 5 year increments from age 1 to age 85+ an aging cohort model extrapolate how eating habits could be expected to changeover this time interval. The implications of this exercise are essential to the forecasting and management of food processors. The extrapolations may provide guidance for potential changes in capital investment or entry into other markets.

The objective of this research is to examine, validate, and recommend techniques for handling the problem of missingness in observational data. We use a rich observational data set, the Nielsen HomeScan data set, which allows us to effectively combine elements from simulated data sets: large numbers of observations, large number of data sets and variables, allowing elements of “design” that typically come with simulated data, and its observational nature. We created random 20% and 50% uniform missingness in our data sets and employed several widely used methods of single imputation, such as mean, regression, and stochastic regression imputations, and multiple imputation methods to fill in the data gaps. We compared these methods by measuring the error of predicting the missing values and the parameter estimates from the subsequent regression analysis using the imputed values. We also compared coverage or the percentages of intervals that covered the true parameter in both cases. Based on our results, the method of single regression or conditional mean imputation provided the best predictions of the missing price values with 28.34 and 28.59 mean absolute percent errors in 20% and 50% missingness settings, respectively. The imputation from conditional distribution method had the best rate of coverage. The parameter estimates based on data sets imputed by conditional mean method were consistently unbiased and had the smallest standard deviations. The multiple imputation methods had the best coverage of both the parameter estimates and predictions of the dependent variable.

Deficiency of nutrition is generally referred to as malnutrition; however, malnutrition can refer to both overnutrition and undernutrition. Nutrient availability and intake are current challenges for society, and these challenges will only intensify as population continues to grow and resources become more stressed. This chapter examines the need for dietary guidelines to increase nutrition security, describes the history of dietary guidelines in the United States, examines compliance and challenges with compliance of dietary guidelines, and finishes with future implications of dietary guidelines. This study concluded that although the purpose of the United States Department of Agriculture (USDA) Dietary Guidelines is to assist Americans in choosing healthy eating patterns and to alleviate the negative health and economic outcomes associated with malnutrition, consumers typically do not follow the USDA Dietary Guidelines due to their inherent complexities and other factors, such as income and access to food which may affect compliance.

In this chapter, we explore the future global supply and demand trends for key agricultural products under baseline assumptions of socioeconomic changes in population and income. We examine nutritional trends under this baseline to highlight countries that lag behind in attaining key dietary sufficiency targets.

Using a global multimarket agricultural model, we disaggregate the key macronutrients within food commodities to understand how progress toward target dietary intake levels of nutrients compares across various regions. We look particularly at those regions whose populations fall into the bottom sixth of nutritional attainment (the Bottom Billion) and note their slow projected progress toward achieving dietary sufficiency in key macronutrients.

Many countries falling into the Bottom Billion category of nutritional attainment are in Africa and Asia. Colombia is the only Latin American country that fell into this category. Most populations in the Bottom Billion are deficient in carbohydrate, protein, and fiber intake.

Policies aimed at eliminating hunger and improving the nutritional status of populations must be aligned with evolving socioeconomic patterns and changes that shape food consumption and dietary patterns. This analysis evaluates regions of the world in greatest need of attaining sufficient dietary intake of important nutrients, and sets the stage for a deeper discussion of policy options for improving these regions’ food security.

Social scientists often speculate that both acculturation and socioeconomic status are factors that may explain differences in the body weight between Mexican Americans and whites and between Mexican Americans and Mexican immigrants, yet prior research has not explicitly theorized and tested the pathways that lead both of these upstream factors to contribute to ethnic/nativity disparities in weight. We make this contribution to the literature by developing a conceptual model drawing from Glass and McAtee’s (2006) risk regulation framework. We test this model by analyzing data from the 1999–2012 National Health and Nutrition Examination Survey (NHANES). Our conceptual model treats acculturation and socioeconomic status as risk regulators, or social factors that place individuals in positions where they are at risk for health risk behaviors that negatively influence health outcomes. We specifically argue that acculturation and low socioeconomic status contribute to less healthy diets, lower physical activity, and chronic stress, which then increases the risk of weight gain. We further contend that pathways from ethnicity/nativity and through acculturation and socioeconomic status likely explain disparities in weight gain between Mexican Americans and whites and between Mexican immigrants and whites. Study results largely support our conceptual model and have implications for thinking about solutions for reducing ethnic/nativity disparities in weight.

Research examining the experiences of women in the workplace has, to a large extent, neglected the unique stressors pregnant employees may experience. Stress during pregnancy has been shown consistently to lead to detrimental consequences for the mother and her baby. Using job stress theories, we develop an expanded theoretical model of experienced stress during pregnancy and the potential detrimental health outcomes for the mother and her baby. Our theoretical model includes factors from multiple levels (i.e., individual, interpersonal, sociocultural, and community) and the role they play on the health and well-being of the pregnant employee and her baby. In order to gain a deeper understanding of job stress during pregnancy, we examine three pregnancy-specific organizational stressors (i.e., perceived pregnancy discrimination, pregnancy disclosure, and identity-role conflict) that are unique to pregnant employees. These stressors are argued to be over and above the normal job stressors experienced and they are proposed to result in elevated levels of experienced stress leading to detrimental health outcomes for the mother and baby. The role of resilience resources and learning in reducing some of the negative outcomes from job stressors is also explored.

We examine the joint demand for components of a household’s diet diversity and its relationship with household and regional characteristics that embody diverse food access and utilization constraints within the framework of the dietary patterns of rice producers in Peru.

We use multivariate probit regression to account for the simultaneous nature of the choice of different dietary group components.

There are diverse food intake patterns for households, depending on their wealth, education, demographic structure, market access and geographic location, as well as past shocks. There are also several obesogenic foods that are complements to consumption, with milk being a strong substitute for some of them. Of particular concern is the high vulnerability of female-headed households to low consumption of micronutrient-rich foods as well as the high vulnerability of households with children to high consumption of beverages with added sugars. Climate shocks are also highly associated with poor diet quality.

Results show the important influence of trade on household nutrition and food security. They indicate that policy and program recommendations should focus on nutrition information (such as labeling requirements) and education so that consumers can make informed decisions. They also suggest that policy makers should focus on how to make healthy foods available during crises to prevent health issues after economic and climatic shocks.

The treatment and care of persons with a disability should and must be all encompassing. With the expansion of the knowledge that proper dieting can make a difference in the individual’s development and quality of life, attention must be focused on using proper food intake to remediate the negative impact of a disability. Food is related to proper healthcare; therefore, we must include proper nutrition in working with learners with exceptionalities. We must add to the list of treatments not only educational intervention, social interaction, and independent living, but also food intake. This chapter looks at the dietary needs of several disabling conditions, and addresses how particular dietary food selections help in their development and their ability to learn integration, playing skills with others, and working independently when called on to do so. Therefore, for the purposes of this chapter, we focus on exceptionalities such as cognitive disability, autism spectrum disorder (ASD), Down syndrome, attention deficit hyperactivity disorder (ADHD), muscular dystrophy, and cystic fibrosis.

This chapter explores policy implications of deliberately targeted interventions aimed at closing the gap between nutrition baseline trends and desirable levels of nutrition intake according to World Health Organization/Food and Agriculture Organization of the United Nations guidelines. Special attention is paid to the implications for those at the bottom of the nutrition achievement range (Bottom Billion).

We conduct a forward looking evaluation with a global multimarket model for agriculture within the context of key drivers of change. We observe the effect of interventions on nutrition intake for the most food-insecure regions as transmitted through food prices, changes in country-level food trade, and other market-driven outcomes. We demonstrate the nutrition-enhancing effects that occur when animal-sourced protein consumption, livestock production, and livestock feed demand decrease in developed countries. We also show the effect of a significant growth in agricultural productivity and household incomes.

Our analysis shows that the most effective intervention boosts household income to facilitate adequate intake of food and key nutrients. Diet changes have notable effects but are harder to implement on a practical level. Enhancing agricultural productivity (especially in regions with historically low yields) is also effective in improving nutrition outcomes.

Short of social protection and direct assistance programs, the ability of policy to effect short-term changes in nutritional status is limited. We highlight the effectiveness of pathways that promote longer-term socioeconomic growth and productivity gains as ways of improving the nutrition and health status of consumers.

The chapter is an auto-ethnographic account of the self-management of a chronic illness within the context of a participatory research project on Mediterranean Diet (MD). A group of Italian women with type 2 diabetes is following a non-medical, personal interpretation of the Mediterranean-style diet. The research account is preceded by a critical appraisal of the scientific narratives of the MD.

Analysis of epidemiological research on MD examines some methodological aspects of gender blindness in its scientific approach. The ethnography concerns self-management of MD diet and redefinition of gender relations.

MD is analyzed as a case of transplantation of yesterday’s cultural and social capitals of the peasant classes, to today’s discourses on food considered as appropriate for affluent people suffering from satiety diseases. The ethnography highlights gender aspects of biographical work, examining in particular a “conversion” dietary model.

The ethnography must be amplified to include women and men from different social classes with various Mediterranean cooking habits, and family and gender patterns.

The chapter highlights cultural processes for women’s empowerment in self-managing type 2 diabetes.

This chapter may represent a seminal sociological work on chronic illness, gender and food studies in one of the “native” contexts of the Mediterranean-style diet.