Obesity and Nutritional Sociology: A Model for Coping with the Stigma of Obesity

Nutritional sociology uses sociological theories and methods to study and influence food patterns, eating habits, and nutrition. Obesity and weight loss are important topics in nutritional sociology, and stigmatization of the obese is a long-standing interest. Most past sociological work has only described stigmatization, rather than developing ways to facilitate coping with it. A model for coping with the stigma of obesity is presented here. The model includes four components: Recognition, Readiness, Reaction, and Repair. Recognition involves awareness of the stigma of obesity and understanding about stigmatization. Readiness involves anticipation that stigmatization may occur in specific settings or by some people, and preparation for and prevention of stigmatizing acts. Reaction involves immediate and long-term coping techniques to deal with a stigmatizing act. Repair involves the recovery from stigmatization and attempts at restitution and reform of the stigmatizing actions of others. This model uses a sociological perspective to develop strategies for dealing with stigmatization, which differs from a medical model for dealing with obesity. This sociological model for helping people cope with the stigma of obesity may also be useful with other types of stigmas

Changes in intergenerational eating patterns and the impact on childhood obesity

The objective of this study was to examine intergenerational eating patterns within two sets of families, those with an obese child and those with a normal weight child, and to assess the impact of intergenerational influences on children's eating. A qualitative study design was used, incorporating focus groups and semi-structured interviews. Sixteen focus groups took place and 27 semi-structured interviews were held with different generations. Focus groups were conducted in the community with grandparents, parents and children from different families. This was followed by semi-structured interviews, involving individuals from three generations within families with an obese child and within families with a normal weight child. An examination of intergenerational eating has shown that eating patterns have changed regardless of whether or not families have children who are obese. The grandparent's eating patterns were more structured, whereas the children's eating patterns were less so. There have been more changes, and eating is less structured, within those families with an obese child than those families with a normal weight child. It is recommended that approaches to tackling childhood obesity concentrate on the family setting and the ways in which professionals can support families to change eating practices. Future research should formally test the relationship between the concept 'structured eating' and the 'what' of eating, in order to determine whether there is a link between intergenerational eating patterns and childhood obesity. © The Author(s) 2010

Gradient-based Planning with World Models

The enduring challenge in the field of artificial intelligence has been the control of systems to achieve desired behaviours. While for systems governed by straightforward dynamics equations, methods like Linear Quadratic Regulation (LQR) have historically proven highly effective, most real-world tasks, which require a general problem-solver, demand world models with dynamics that cannot be easily described by simple equations. Consequently, these models must be learned from data using neural networks. Most model predictive control (MPC) algorithms designed for visual world models have traditionally explored gradient-free population-based optimisation methods, such as Cross Entropy and Model Predictive Path Integral (MPPI) for planning. However, we present an exploration of a gradient-based alternative that fully leverages the differentiability of the world model. In our study, we conduct a comparative analysis between our method and other MPC-based alternatives, as well as policy-based algorithms. In a sample-efficient setting, our method achieves on par or superior performance compared to the alternative approaches in most tasks. Additionally, we introduce a hybrid model that combines policy networks and gradient-based MPC, which outperforms pure policy based methods thereby holding promise for Gradient-based planning with world models in complex real-world tasks

Joint Embedding Predictive Architectures Focus on Slow Features

Many common methods for learning a world model for pixel-based environments use generative architectures trained with pixel-level reconstruction objectives. Recently proposed Joint Embedding Predictive Architectures (JEPA) offer a reconstruction-free alternative. In this work, we analyze performance of JEPA trained with VICReg and SimCLR objectives in the fully offline setting without access to rewards, and compare the results to the performance of the generative architecture. We test the methods in a simple environment with a moving dot with various background distractors, and probe learned representations for the dot's location. We find that JEPA methods perform on par or better than reconstruction when distractor noise changes every time step, but fail when the noise is fixed. Furthermore, we provide a theoretical explanation for the poor performance of JEPA-based methods with fixed noise, highlighting an important limitation.Comment: 4 pages (3 figures) short paper for SSL Theory and Practice workshop at NeurIPS 2022. Code is available at https://github.com/vladisai/JEPA_SSL_NeurIPS_202

Classifying foods in contexts: How adults categorize foods for different eating settings

This project examined adults\u27 food cognitions by applying schema theory to explain how adults categorized foods for different contexts. Qualitative interviews and repeated card sort activities for different eating contexts were conducted to elicit as many food categories as possible form 42 US adults. Participants labeled card sort piles with their own words, providing 991 card sort labels. Qualitative analysis of the labels resulted in the emergence of 12 category types. Personal-experience-based types were specific to the individual (e.g., Preference). Context-based types were related to situational aspects of eating episodes (e.g., Location). Food-based types were related to intrinsic properties of the foods (e.g., Physical characteristics). Different combinations of the 12 category types were used for different eating contexts. Personal-experience and context-based types were used most frequently overall. Some category types were used more frequently for specific contexts (e.g., Convenience for work contexts). Food-based taxonomic category types were used most frequently when no context was defined. Script-oriented categories were more often used in response to specific eating contexts. These findings provide a framework to consider how individuals classify foods in real-life eating contexts. Attention to personal-experience and context-based category types may help improve understanding of relationships between knowledge and food choice behaviors

'Food hates' over the life course : an analysis of food narratives from the UK Mass Observation Archive

This article presents data from the UK Mass Observation Archive drawn from the 1982 Winter Food Directive, which focuses on memories of childhood food ‘hates’. Through our analysis of these data, we identify three main findings: (a) there is a discrepancy between individual-level and collective aggregate level food hates, which problematises the notion of commensality; (b) a small but powerful ‘outlier’ group of respondents, which we refer to as ‘visceral repulsors’, show relatively extreme reactions to certain foods throughout their lives; and (c) the duration and temporalities of food hates can be used to sketch a rough model of change and continuity of food hates over the life course. Finally, the discussion focuses on the food hate trajectories through the life course, situated in a social context, to explore the implications the findings may have for food and health policy more generally

Health, ethics and environment: A qualitative study of vegetarian motivations

This qualitative study explored the motivations of vegetarians by means of online ethnographic research with participants in an international message board. The researcher participated in discussions on the board, gathered responses to questions from 33 participants, and conducted follow-up e-mail interviews with eighteen of these participants. Respondents were predominantly from the US, Canada and the UK. Seventy per cent were female, and ages ranged from 14 to 53, with a median of 26 years. Data were analysed using a thematic approach. While this research found that health and the ethical treatment of animals were the main motivators for participants’ vegetarianism, participants reported a range of commitments to environmental concerns, although in only one case was environmentalism a primary motivator for becoming a vegetarian. The data indicates that vegetarians may follow a trajectory, in which initial motivations are augmented over time by other reasons for sustaining or further restricting their diet

Religion, social support, fat intake and physical activity

Most research on diet and exercise has focused on these health behaviours as proximate causes of disease, rather than examine the context of how diet and exercise are developed and maintained. This study examined religion and social support in relationship to fat intake and physical activity. Data from surveys of 546 adults aged 17–91 years, residing in one upstate New York county, were analysed. Most relationships between the multiple facets of religion, fat intake and physical activity were not statistically significant. After controlling for demographics and social support, Conservative Protestant women and women specifying an ‘Other’ religious affiliation reported higher fat intakes than did Catholic women. There were no relationships between religion and fat intake in men. In women, religious commitment was associated with greater moderate and vigorous physical activity, whereas in men, divine social support was associated with greater moderate physical activity. Social support did not substantially change the magnitude of the relationships between religion, diet and physical activity. Overall, there were few relationships between religion, fat intake and physical activity, suggesting that in contemporary US society religion may play a small role in the context of how diet and exercise are developed and maintained. The limited range of religiosity in the sample, however, may have underestimated the role of religion. Significant relationships between religion and physical activity in women suggest that further research is needed to more clearly delineate religion's relationship with health behaviours