Framing obesity in UK policy from the Blair years, 1997-2015: the persistence of individualistic approaches despite overwhelming evidence of societal and economic factors, and the need for collective responsibility

Since 1997, and despite several political changes, obesity policy in the UK has overwhelmingly framed obesity as a problem of individual responsibility. Reports, policies and interventions have emphasized that it is the responsibility of individual consumers to make personal changes to reduce obesity. The Foresight Report 'Tackling Obesities: Future Choices' (2007) attempted to reframe obesity as a complex problem that required multiple sites of intervention well beyond the range of personal responsibility. This framing formed the basis for policy and coincided with increasing acknowledgement of the complex nature of obesity in obesity research. Yet policy and interventions developed following Foresight, such as the Change4Life social marketing campaign, targeted individual consumer behaviour. With the Conservative-Liberal Democrat government of 2011, intervention shifted to corporate and individual responsibility, making corporations voluntarily responsible for motivating individual consumers to change. This article examines shifts in the framing of obesity from a problem of individual responsibility, towards collective responsibility, and back to the individual in UK government reports, policies and interventions between 1997 and 2015. We show that UK obesity policies reflect the landscape of policymakers, advisors, political pressures and values, as much as, if not more than, the landscape of evidence. The view that the individual should be the central site for obesity prevention and intervention has remained central to the political framing of population-level obesity, despite strong evidence contrary to this. Power dynamics in obesity governance processes have remained unchallenged by the UK government, and individualistic framing of obesity policy continues to offer the path of least resistance.

Systems Thinking and Simulation Modeling to Inform Childhood Obesity Policy and Practice

OBJECTIVES

In 2007, 31.7% of Georgia adolescents in grades 9-12 were overweight or obese. Understanding the impact of policies and interventions on obesity prevalence among young people can help determine statewide public health and policy strategies. This article describes a systems model, originally launched in 2008 and updated in 2014, that simulates the impact of policy interventions on the prevalence of childhood obesity in Georgia through 2034.

METHODS

In 2008, using information from peer-reviewed reports and quantitative estimates by experts in childhood obesity, physical activity, nutrition, and health economics and policy, a group of legislators, legislative staff members, and experts trained in systems thinking and system dynamics modeling constructed a model simulating the impact of policy interventions on the prevalence of childhood obesity in Georgia through 2034. Use of the 2008 model contributed to passage of a bill requiring annual fitness testing of schoolchildren and stricter enforcement of physical education requirements. We updated the model in 2014.

RESULTS

With no policy change, the updated model projects that the prevalence of obesity among children and adolescents aged ≤18 in Georgia would hold at 18% from 2014 through 2034. Mandating daily school physical education (which would reduce prevalence to 12%) and integrating moderate to vigorous physical activity into elementary classrooms (which would reduce prevalence to 10%) would have the largest projected impact. Enacting all policies simultaneously would lower the prevalence of childhood obesity from 18% to 3%.

CONCLUSIONS

Systems thinking, especially with simulation models, facilitates understanding of complex health policy problems. Using a simulation model to educate legislators, educators, and health experts about the policies that have the greatest short- and long-term impact should encourage strategic investment in low-cost, high-return policies.

The Impact of Seattle's Sugar-Sweetened Beverage Tax on Substitution to Sweets and Salty Snacks

BACKGROUND

Sugar-sweetened beverage (SSB) taxes may have broad effects on purchases of untaxed foods, and substitution of SSBs with untaxed sweets and/or salty snacks could offset the intended dietary and health effects of these policies.

OBJECTIVES

To test whether there were changes in sales and calories sold for untaxed foods in response to the SSB tax in Seattle, Washington, at 12 and 24 months post-tax implementation.

METHODS

On 1 January 2018, the City of Seattle levied a 1.75 cents per ounce excise tax on distributors selling targeted SSBs. We utilized universal product code-level store scanner data and employed a difference-in-differences approach to assess the impacts of the tax on the changes in 1) sales of sweets and salty snacks; and 2) total calories sold for sweets in Seattle relative to changes in its comparison site of Portland, Oregon, at 12 and 24 months post-tax.

RESULTS

In the 12 months post-tax, sales of sweets increased by 4% [ratio of incidence rate ratios (RIRR), 1.04; 95% CI, 1.03-1.05] in Seattle relative to the changes in Portland; at 24 months post-tax, sweet sales increased by 6% (RIRR, 1.06; 95% CI, 1.05-1.07) relative to the pretax period. There was no significant change in sales of salty snacks at 12 months (RIRR, 1.00; 95% CI, 0.99-1.01) or 24 months (RIRR, 1.00; 95% CI, 0.98-1.02) post-tax. Total calories sold for sweets increased by 3% (RIRR, 1.03; 95% CI, 1.02-1.05) in Seattle compared with Portland at 12 months post-tax and by 4% (RIRR, 1.04; 95% CI, 1.02-1.05) at 24 months after implementation.

CONCLUSIONS

There was modest substitution of SSBs for sweets in Seattle following tax implementation. However, this increase in sales and calories sold is not likely to offset previously identified tax-related reductions in the demand for taxed beverages in Seattle. Thus, SSB taxes are a promising policy tool to reduce caloric intake in the United States.

Childhood overweight and obesity abatement policies in Europe

Over the past two decades, a concerted effort to combat the rising tide of childhood overweight and obesity has taken shape. The World Health Organization (WHO) Commission on Ending Childhood Obesity (ECHO) provides recommendations for six priority areas of action, including the promotion of healthy food consumption, promotion of physical activity, preconception and pregnancy care, early childhood diet and physical activity, healthy nutrition and physical activity for school-aged children, and community-based weight management. This paper provides a snapshot of policies and measures aligned to these areas of action within the WHO European Region in order to encourage other countries to make similar efforts. Examples are drawn from Portugal (sugar-sweetened beverage tax, integrated nutrition strategy), the United Kingdom (soft drink levy, active commuting programs, urban design principles), Lithuania (prohibition of energy drinks), Norway (industry and government partnerships to promote healthier foods, nutrition education curriculum for schools), Hungary (tax subsidies to promote healthy diets), the European Union (cross-border marketing regulations, preconception and pregnancy care), Slovenia (food marketing restrictions), Spain (marketing restrictions within educational settings), Poland (investing in sports infrastructure), Russia (increasing sports participation), Estonia (redevelopment of the physical education curriculum), Netherlands (preconception and pregnancy care), Croatia (conditions to support breastfeeding), Austria (perinatal and early childhood nutrition), Czechia (life-course strategy), San Marino (nutrition and physical activity for school-aged children), Ukraine (potable water for schools), Ireland and Italy (community-based weight management approaches). Our findings suggest that a large disparity exists among the type and breadth of policies adopted by Member States, with a mix of single-issue policy responses and more cohesive strategies. The role of data, implementation research, and ongoing surveillance of country-level progress related to childhood overweight and obesity policies are discussed as an essential part of the iterative process of policy development. Additional work to systematically gather context-specific information on policy development, implementation, and reach according to ECHO's six areas of action by WHO European Region countries will inform future policy paradigms within the region.

Implications for Policy to Support Healthy Weight for Women

Worldwide, obesity rates have more than doubled during the past three decades. Women experience twice the obesity prevalence as men, and women of color, with less education, and in lower income levels disproportionately affected. Obesity and its comorbidities result in considerable economic burdens for the individual and society. Given the widespread prevalence of obesity, the potential effect on individual and population health, and associated costs, policy solutions targeting obesity prevention and interventions must be explored.

Healthy Eating Policy Strategies in Community Health Improvement Plans: A Cross-Sectional Survey of US Local Health Departments

CONTEXT

Policies (eg, regulations, taxes, and zoning ordinances) can increase opportunities for healthy eating. Community Health Improvement Plans (CHIP) may foster collaboration and local health department (LHD) engagement in policy decision making to improve local food environments. Limited research describes what policies supportive of healthy food environments are included in CHIPs nationally and relationships between LHD characteristics and participation in plans including such policies.

OBJECTIVES

To determine the proportion of US LHDs who participated in development of a CHIP containing healthy eating policy strategies and assess the association between LHD characteristics and inclusion of any healthy eating policy strategy in a CHIP.

DESIGN

A cross-sectional national probability survey.

PARTICIPANTS

Of the 209 US LHDs (serving populations <500 000) (response rate: 30.2%), 176 LHDs with complete data on CHIP status, outcomes, and covariates were eligible for analysis.

MAIN OUTCOME MEASURES

Thirteen healthy eating policy strategies were organized into 3 categories: increasing availability/identification of healthy foods, reducing access to unhealthy foods, and improving school food environments. Strategies and categories were identified from literature and public health recommendations.

RESULTS

In total, 32.2% of LHDs reported inclusion of 1 or more healthy eating policy strategies in a CHIP. The proportion of departments reporting specific strategies ranged from 20.8% for school district policies to 1.1% for sugar-sweetened beverage taxes. Local health departments serving 25 000 to 49 999 residents (odds ratio [OR]: 5.00; 95% confidence interval [CI]: 1.71-14.63), 100 000 to 499 999 residents (OR: 3.66; 95% CI: 1.12-11.95), pursuing national accreditation (OR: 4.46; 95% CI: 1.83-10.83), or accredited (OR: 3.22; 95% CI: 1.08-9.63) were more likely to include 1 or more healthy eating policy strategies in a CHIP than smaller LHDs (<25 000) and LHDs not seeking accreditation, respectively, after adjusting for covariates.

CONCLUSIONS

Few LHDs serving less than 500 000 residents reported CHIPs that included a policy-based approach to improve food environments, indicating room for improvement. Population size served and accreditation may affect LHD policy engagement to enhance local food environments.

Who Are the Key Players Involved with Shaping Public Opinion and Policies on Obesity and Diabetes in New Zealand?

There is an urgent need for strategic approaches to address the high prevalence of obesity and diabetes in New Zealand. Such approaches rely strongly on input from multiple actors in the diabetes and obesity policy space. We conducted a social network analysis to identify influential actors involved with shaping public opinion and/or policy regarding obesity and diabetes in New Zealand. Our analysis revealed a diverse network of 272 individuals deemed influential by their peers. These individuals represented nine professional categories, particularly academics (34%), health service providers (22%), and government representatives (17%). The network included a total of 17 identified decision-makers. Relative capacity of professional categories to access these decision-makers was highest for representatives of the food and beverage industry (25%), compared with nongovernment organisations (9%) or academics (7%). We identified six distinct brokers, in academic (n = 4), government (n = 1), and nongovernmental (n = 1) positions, who could play a key role in improving communication and networking activities among all interest groups. Such actions should ultimately establish effective networks to foster evidence-based policy development to prevent and reduce the burden of diabetes and obesity.

Effect of interdisciplinary obesity care on metabolic markers and body weight in people with type 2 diabetes in a rural setting: A randomised controlled trial

Management of type 2 diabetes includes medications that can unintentionally increase obesity and insulin resistance. This unblinded, single-centre, randomised controlled trial focused on rural Australian adults with type 2 diabetes (aged 18-75 and body mass index [BMI] >30 kg/m2), measuring the effectiveness of a tailored interdisciplinary obesity care approach compared with usual diabetes care. Led by a nurse practitioner with allied health support (dietitian ± psychologist and physiotherapist), the bariatric treatment involved reducing weight-gaining medications, a 500-calories/day deficit, an unsupervised exercise program emphasising movement/strength and psychotherapy, 3-monthly to 24-months with support phone calls at weeks 2, 4, 8 and 10. Outcomes from the 224 (113 intervention/111 control) participants were differences in biomedical and physical markers within- and between-groups estimated using multivariate mixed-effects linear regression between recruitment and 6-monthly follow-ups. Greater change occurred in intervention compared with control groups at 12 and 24 months in mean: body weight (-5.9 kg [95% confidence interval, CI: -8.53, -3.23] and -9.0 kg [95% CI: -13.2, -4.77]); BMI (-2.03 kg/m2 [95% CI: -2.92, -1.15] and -3.51 kg/m2 [95% CI: -4.93, -2.08]); and glycated haemoglobin (-0.26% [95% CI: -0.69%, 0.18%] and -0.63% [95% CI: -1.17%, 0.08%]). The control group showed a significant increase in mean leptin level, resulting in a between-group difference (-27.1 [95% CI: -42.7, -11.5]). Lipids and blood pressure differences were inconclusive, while exploratory analysis showed greater decline in estimated glomerular filtration rate in the control group. The interdisciplinary obesity approach, compared with usual diabetes care, resulted in sustained weight loss and improved diabetes control over 2 years. Trial registration number: ACTRN12622000240741.

Public Policies on Obesity: A Literature Review of Global Challenges and Response Strategies

As a complex and multifactorial health problem, obesity results from the interaction of genetic, environmental, dietary, and lifestyle factors. Globally, the increase in obesity and related chronic diseases has been associated with global trade liberalization, rapid urbanization, and economic growth. This article is a narrative literature review on the global obesity problem and explores the global challenges of obesity and strategies to address them. The research methodology included a retrieval of peer-reviewed articles, including PubMed, ScienceDirect, and Google Scholar. Specific search terms like "obesity", "policy", "nutrition", and "global", outline the impact of obesity on global health and social systems, as well as policy effectiveness and gaps that exist. The outcome reveals regional differences in obesity rates and provides an analysis of the policies that countries have implemented to address obesity and their effectiveness, in particular concerning improving the quality of diets and limiting the intake of added sugars. Despite some policies proving effective, the challenge of obesity is far from being fully addressed, necessitating robust international efforts and strategies.

Obscurity on obesity

Much research is underway on the links between diet and obesity. So too are long-running disputes among nutritionists on core questions about the relationship. This editorial reviews the state-of-play on four issues: what makes people fat, how to lose weight, how much do we eat, and what policies to adopt towards obesity. The practical consequence is that, at present, frontline health professionals will not find in nutrition science agreed, actionable solutions to assist overweight patients. But research and debate continues actively.

Effectively communicating with local policymakers: a randomized trial of policy brief dissemination to address obesity

Introduction

Evidence-based policies are a powerful tool for impacting health and addressing obesity. Effectively communicating evidence to policymakers is critical to ensure evidence is incorporated into policies. While all public health is local, limited knowledge exists regarding effective approaches for improving local policymakers' uptake of evidence-based policies.

Methods

Local policymakers were randomized to view one of four versions of a policy brief (usual care, narrative, risk-framing, and narrative/risk-framing combination). They then answered a brief survey including questions about their impressions of the brief, their likelihood of using it, and how they determine legislative priorities.

Results

Responses from 331 participants indicated that a majority rated local data (92%), constituent needs/opinions (92%), and cost-effectiveness data (89%) as important or very important in determining what issues they work on. The majority of respondents agreed or strongly agreed that briefs were understandable (87%), believable (77%), and held their attention (74%) with no brief version rated significantly higher than the others. Across the four types of briefs, 42% indicated they were likely to use the brief. Logistic regression models showed that those indicating that local data were important in determining what they work on were over seven times more likely to use the policy brief than those indicating that local data were less important in determining what they work on (aOR = 7.39, 95% CI = 1.86,52.57).

Discussion

Among local policymakers in this study there was no dominant format or type of policy brief; all brief types were rated similarly highly. This highlights the importance of carefully crafting clear, succinct, credible, and understandable policy briefs, using different formats depending on communication objectives. Participants indicated a strong preference for receiving materials incorporating local data. To ensure maximum effect, every effort should be made to include data relevant to a policymaker's local area in policy communications.

Municipal officials' perspectives on policymaking for addressing obesity and health equity

Background

Obesity evidence-based policies (EBPs) can make a lasting, positive impact on community health; however, policy development and enactment is complex and dependent on multiple forces.

Aims and objectives

This study investigated key factors affecting municipal officials' policymaking for obesity and related health disparities.

Methods

Semi-structured interviews were conducted with 20 local officials from a selection of municipalities with high obesity or related health disparities across the United States between December 2020 and April 2021.

Findings

Policymakers follow a general decision-making process with limited distinction between health and other policy areas. Factors affecting policymaking included: being informed about other local, state, and federal policy, conducting their own research using trustworthy sources, and seeking constituent and stakeholder perspectives. Key facilitators included the need for timely, relevant local data, and seeing or hearing from those impacted. Key local policymaking barriers included constituent opposition, misinformation, controversial issues with contentious solutions, and limited understanding of the connection between issues and obesity/health. Policymakers had a range of understanding about causes of health disparities, including views of individual choices, environmental influences on behaviors, and structural factors impacting health. To address health disparities, municipal officials described: a variety of roles policymakers can take, limitations based on the scope of government, challenges with intergovernmental collaboration or across government levels, ability of policymakers and government employees to understand the problem, and the challenge of framing health disparities given the social-political context.

Discussion and conclusion

Understanding factors affecting the uptake of EBPs can inform local-level interventions that encourage EBP adoption.

Acceptability and perceived harm of calorie labeling and other obesity policies: A cross-sectional survey study of UK adults with eating disorders and other mental health conditions

OBJECTIVE

We assessed perceptions of recently proposed UK obesity policies (mandatory calorie labeling, banning of advertisements of unhealthy food and drinks online and before 9 pm on TV, and banning "buy one get one free" deals for unhealthy food and drinks) in people with an eating disorder (ED) and other mental health conditions.

METHOD

A total of 1273 participants with a self-reported lifetime mental health condition (N = 583 with an ED) completed an online survey in September-November 2022. Multinomial logistic regression was used to examine support for and potential adverse effects of policies in participants with and without an ED. A qualitative analysis of the potential effects of the policy on current ED symptoms was also conducted to better understand how and why policies may be damaging or beneficial.

RESULTS

Participants with an ED had a lower level of support for the implementation of the calorie labeling policy compared to those without an ED (43% vs. 58%). Half of the participants with an ED (55%) reported that labeling may worsen their ED symptoms. Qualitative data indicated perceived potential harm (e.g., a gateway to relapse, negative effects on mood) and perceived benefits (e.g., feeling informed and reassured) of calorie labeling in participants with an ED. No differences in support or perceived harms of the other two policies were observed between participants with versus without an ED.

DISCUSSION

Future studies are warranted to explore the potential effects of calorie labeling and how to mitigate negative impacts on people with an ED.

PUBLIC SIGNIFICANCE

This research is the first to assess the perceptions of UK obesity-related policies in people with an ED and other mental health conditions. Participants with an ED (vs. without) were more likely to disagree with the government implementing the calorie labeling policy. These findings highlight the potentially harmful effects of calorie labeling in people with an ED and the need for future research to understand how to mitigate negative impacts.