Kevin D. Hall

The global obesity pandemic: shaped by global drivers and local environments

The simultaneous increases in obesity in almost all countries seem to be driven mainly by changes in the global food system, which is producing more processed, affordable, and effectively marketed food than ever before. This passive overconsumption of energy leading to obesity is a predictable outcome of market economies predicated on consumption-based growth. The global food system drivers interact with local environmental factors to create a wide variation in obesity prevalence between populations. Within populations, the interactions between environmental and individual factors, including genetic makeup, explain variability in body size between individuals. However, even with this individual variation, the epidemic has predictable patterns in subpopulations. In low-income countries, obesity mostly affects middle-aged adults (especially women) from wealthy, urban environments; whereas in high-income countries it affects both sexes and all ages, but is disproportionately greater in disadvantaged groups. Unlike other major causes of preventable death and disability, such as tobacco use, injuries, and infectious diseases, there are no exemplar populations in which the obesity epidemic has been reversed by public health measures. This absence increases the urgency for evidence-creating policy action, with a priority on reduction of the supply-side drivers.

Quantification of the effect of energy imbalance on bodyweight

Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptations during weight loss. We also present a web-based simulator for prediction of weight change dynamics. We show that the bodyweight response to a change of energy intake is slow, with half times of about 1 year. Furthermore, adults with greater adiposity have a larger expected weight loss for the same change of energy intake, and to reach their steady-state weight will take longer than it would for those with less initial body fat. Using a population-averaged model, we calculated the energy-balance dynamics corresponding to the development of the US adult obesity epidemic. A small persistent average daily energy imbalance gap between intake and expenditure of about 30 kJ per day underlies the observed average weight gain. However, energy intake must have risen to keep pace with increased expenditure associated with increased weight. The average increase of energy intake needed to sustain the increased weight (the maintenance energy gap) has amounted to about 0·9 MJ per day and quantifies the public health challenge to reverse the obesity epidemic.

The progressive increase of food waste in America and its environmental impact.

Food waste contributes to excess consumption of freshwater and fossil fuels which, along with methane and CO2 emissions from decomposing food, impacts global climate change. Here, we calculate the energy content of nationwide food waste from the difference between the US food supply and the food consumed by the population. The latter was estimated using a validated mathematical model of metabolism relating body weight to the amount of food eaten. We found that US per capita food waste has progressively increased by ∼50% since 1974 reaching more than 1400 kcal per person per day or 150 trillion kcal per year. Food waste now accounts for more than one quarter of the total freshwater consumption and ∼300 million barrels of oil per year.

Child and adolescent obesity: part of a bigger picture

The prevalence of childhood overweight and obesity has risen substantially worldwide in less than one generation. In the USA, the average weight of a child has risen by more than 5 kg within three decades, to a point where a third of the countrys children are overweight or obese. Some low-income and middle-income countries have reported similar or more rapid rises in child obesity, despite continuing high levels of undernutrition. Nutrition policies to tackle child obesity need to promote healthy growth and household nutrition security and protect children from inducements to be inactive or to overconsume foods of poor nutritional quality. The promotion of energy-rich and nutrient-poor products will encourage rapid weight gain in early childhood and exacerbate risk factors for chronic disease in all children, especially those showing poor linear growth. Whereas much public health effort has been expended to restrict the adverse marketing of breastmilk substitutes, similar effort now needs to be expanded and strengthened to protect older children from increasingly sophisticated marketing of sedentary activities and energy-dense, nutrient-poor foods and beverages. To meet this challenge, the governance of food supply and food markets should be improved and commercial activities subordinated to protect and promote childrens health.

Energy balance and its components: implications for body weight regulation 1-3

A fundamental principle of nutrition and metabolism is that body weight change is associated with an imbalance between the energy content of food eaten and energy expended by the body to maintain life and to perform physical work. Such an energy balance framework is a potentially powerful tool for investigating the regulation of body weight. However, we need a better understanding of the components of energy balance and their interactions over various time scales to explain the natural history of conditions such as obesity and to estimate the magnitude and potential success of therapeutic interventions. Therefore, the ASN and the International Life Sciences Institute convened a panel composed of members with expertise in weight management, energy metabolism, physical activity, and behavior to review the published scientific literature and to hear presentations from other experts in these fields. The Consensus Panel met 9–12 May 2011 in Chicago, IL, and was charged to provide answers to the following 5 questions: Explain energy balance and imbalance in terms of a biological system in which energy intake and energy expenditure change over time in response to the environment. What are the interactions between the components of energy balance and how are they regulated? What is the veracity of some of the popular beliefs related to energy balance? What limitations do we face in the study of energy balance and its components? What research would better inform our knowledge of energy balance and its components?

NIH working group report: Innovative research to improve maintenance of weight loss.

The National Institutes of Health, led by the National Heart, Lung, and Blood Institute, organized a working group of experts to discuss the problem of weight regain after weight loss. A number of experts in integrative physiology and behavioral psychology were convened with the goal of merging their perspectives regarding the barriers to scientific progress and the development of novel ways to improve long‐term outcomes in obesity therapeutics. The specific objectives of this working group were to: (1) identify the challenges that make maintaining a reduced weight so difficult; (2) review strategies that have been used to improve success in previous studies; and (3) recommend novel solutions that could be examined in future studies of long‐term weight control.

Predicting metabolic adaptation, body weight change, and energy intake in humans

Complex interactions between carbohydrate, fat, and protein metabolism underlie the bodys remarkable ability to adapt to a variety of diets. But any imbalances between the intake and utilization rates of these macronutrients will result in changes in body weight and composition. Here, I present the first computational model that simulates how diet perturbations result in adaptations of fuel selection and energy expenditure that predict body weight and composition changes in both obese and nonobese men and women. No model parameters were adjusted to fit these data other than the initial conditions for each subject group (e.g., initial body weight and body fat mass). The model provides the first realistic simulations of how diet perturbations result in adaptations of whole body energy expenditure, fuel selection, and various metabolic fluxes that ultimately give rise to body weight change. The validated model was used to estimate free-living energy intake during a long-term weight loss intervention, a variable that has never previously been measured accurately.

Persistent metabolic adaptation 6 years after "The Biggest Loser" competition.

To measure long‐term changes in resting metabolic rate (RMR) and body composition in participants of “The Biggest Loser” competition.

Management of obesity: Improvement of health-care training and systems for prevention and care

Although the caloric deficits achieved by increased awareness, policy, and environmental approaches have begun to achieve reductions in the prevalence of obesity in some countries, these approaches are insufficient to achieve weight loss in patients with severe obesity. Because the prevalence of obesity poses an enormous clinical burden, innovative treatment and care-delivery strategies are needed. Nonetheless, health professionals are poorly prepared to address obesity. In addition to biases and unfounded assumptions about patients with obesity, absence of training in behaviour-change strategies and scarce experience working within interprofessional teams impairs care of patients with obesity. Modalities available for the treatment of adult obesity include clinical counselling focused on diet, physical activity, and behaviour change, pharmacotherapy, and bariatric surgery. Few options, few published reports of treatment, and no large randomised trials are available for paediatric patients. Improved care for patients with obesity will need alignment of the intensity of therapy with the severity of disease and integration of therapy with environmental changes that reinforce clinical strategies. New treatment strategies, such as the use of technology and innovative means of health-care delivery that rely on health professionals other than physicians, represent promising options, particularly for patients with overweight and patients with mild to moderate obesity. The co-occurrence of undernutrition and obesity in low-income and middle-income countries poses unique challenges that might not be amenable to the same strategies as those that can be used in high-income countries.

A viscerally driven cachexia syndrome in patients with advanced colorectal cancer: contributions of organ and tumor mass to whole-body energy demands

BACKGROUND Cancer cachexia-associated weight loss is poorly understood; energetically demanding tissues (eg, organ and tumor mass) and resting energy expenditure (REE) are reported to increase with advanced cancer. OBJECTIVE The objective was to quantify the potential contribution of increasing masses of energetically demanding tissues to REE with colorectal cancer cachexia progression. DESIGN A longitudinal computed tomography (CT) image review was performed to quantify organ size (liver, including metastases, and spleen) and peripheral tissues (skeletal muscle and adipose tissue) during colorectal cancer cachexia progression (n = 34). Body composition was prospectively evaluated by CT and dual-energy X-ray absorptiometry, and REE was determined by indirect calorimetry in advanced colorectal cancer patients (n = 18). RESULTS Eleven months from death, the liver (2.3 +/- 0.7 kg) and spleen (0.32 +/- 0.2 kg) were larger than reference values. One month from death, liver weight increased to 3.0 +/- 1.5 kg (P = 0.010), spleen showed a trend to increase (P = 0.077), and concurrent losses of muscle (4.2 kg) and fat (3.5 kg) (P < 0.05) were observed. The estimated percentage of fat-free mass (FFM) occupied by the liver increased from 4.5% to 7.0% (P < 0.001). The most rapid loss of peripheral tissues and liver and metastases gain occurred within 3 mo of death. A positive linear relation existed between liver mass and measured whole-body REE (r(2) = 0.35, P = 0.010); because liver accounted for a larger percentage of FFM, measured REE . kg FFM(-1) . d(-1) increased (r(2) = 0.35, P = 0.010). CONCLUSIONS Increases in mass and in the proportion of high metabolic rate tissues, including liver and tumor, represented a cumulative incremental REE of approximately 17,700 kcal during the last 3 mo of life and may contribute substantially to cachexia-associated weight loss.