Tackling of unhealthy diets, physical inactivity, and obesity: health effects and cost-effectiveness

Cecchini, Michele; Sassi, Franco; Lauer, Jeremy A.; Lee, Yong Yi; Guajardo-Barrón, Verónica; Chisholm, Daniel

doi:10.1016/s0140-6736(10)61514-0

Cited by 734 publications

(651 citation statements)

References 18 publications

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“…In contrast, even when behavioral preventive care mitigates the need for more expensive treatments, investment in health promotion is held to the much higher standard of requiring rapid return on investment (ROI) [5]. More strategic alignment of incentives and smoother integration of public health and clinical preventive efforts could yield a lot more population health [13][14][15].…”

mentioning

confidence: 99%

“…To be clear, investment in intensive lifestyle treatments for high-risk patients should not displace low-intensity population-wide behavioral or policy efforts to promote health [13][14][15]. Intensive behavioral treatments are needed to keep high-risk patients from bankrupting the health care system by progressing to need more expensive treatments or hospitalization.…”

mentioning

confidence: 99%

“…Intensive behavioral treatments are needed to keep high-risk patients from bankrupting the health care system by progressing to need more expensive treatments or hospitalization. Community-wide health promotion also is needed to reduce future disease burden by shifting the overall population distribution of a risk factor towards lower risk [13][14][15]25]. Both approaches are necessary; neither alone can suffice.…”

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confidence: 99%

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Translational Behavioral Medicine: a pathway to better health

Spring

2011

Behav. Med. Pract. Policy Res.

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Translational Behavioral Medicine: a pathway to better health

Spring

2011

Behav. Med. Pract. Policy Res.

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“…These studies have linked sedentary lifestyles and unhealthy eating patterns to obesity in LMICs [11], as well as the deleterious effects to health from low-quality education [12], poor built environment [13] and social interaction [14]. Empirical research taking the SDH as its lens has helped to discredit the characterisation of NCDs as diseases of affluence, yet its impact on policy is less definite.…”

Section: Introductionmentioning

confidence: 99%

Non-communicable diseases in Indian slums: re-framing the Social Determinants of Health

Lumagbas

Coleman

Bunders

et al. 2018

Global Health Action

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Background: The epidemic of non-communicable diseases (NCDs) in slums has pushed its residents to heightened vulnerability. The Social Determinants of Health (SDH) framework has been used to understand the social dynamics and impact of NCDs, especially in poorly resourced communities. Whilst the SDH has helped to discredit the characterisation of NCDs as diseases of affluence, its impact on policy has been less definite. Given the multitude of factors that interact in the presentation of NCDs, operationalising the SDH for policies and programmes that account for the contextual complexity of slums has stalled. Objective: To organise the complex networks of relations between SDH in slums so as to identify options for Indian municipal policy that are feasible to implement in the short term. Methods: The study reviews the literature describing SDH in Indian slums, specifically those that establish causal relations between SDH and NCDs. Root cause analysis was then used to organise the identified relations of SDH and NCDs. Results: Although poverty remains the largest structural determinant of health in slums, the multi-dimensional relations between SDH and NCDs are structured around four themes that describe the dynamics of slums, namely scarce clean water, low education, physical (in)activity and transportation. From the reviewed literature, four logic trees visualising the relations between SDH in slums and NCDs were constructed. The logic trees separate symptomatic problems from their more distal causes, and recommendations were formulated based on features of these relationships that are amenable to policy intervention. Conclusion: Root cause analysis provides a means to focus the lens of examination of SDH, as evidenced here for Indian slums. It provides a guide for the development of policies that are grounded in the actual health concerns of people in slums, and takes account of the complex pathways through which diseases are socially constituted.

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“…Tackling this obesogenicity requires system-wide environmental interventions that complement educational and behavioural measures in order to create supportive environments (21) . Population-level environmental interventions are cost-effective measures to achieve lasting reductions in obesity because they become incorporated into structures, systems, policies and sociocultural norms (21)(22)(23) . However, it is likely that strategies to combat obesity will be more effective if they are appropriate to the national context (24,25) .…”

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confidence: 99%

An obesogenic island in the Mediterranean: mapping potential drivers of obesity in Malta

Cauchi

Rutter

Knai

2015

Public Health Nutr.

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Objective: The prevalence of childhood and adult obesity in Malta is among the highest in the world. Although increasingly recognised as a public health problem with substantial future economic implications for the national health and social care systems, understanding the context underlying the burden of obesity is necessary for the development of appropriate counter-strategies. Design: We conducted a contextual analysis to explore factors that may have potentially contributed to the establishment of an obesogenic environment in Malta. A search of the literature published between 1990 and 2013 was conducted in MEDLINE and EMBASE. Twenty-two full-text articles were retrieved. Additional publications were identified following recommendations by Maltese public health experts; a review of relevant websites; and thorough hand searching of back issues of the Malta Medical Journal since 1990. Setting: Malta. Subjects: Whole population, with a focus on children. Results: Results are organised and presented using the ANalysis Grid for Elements Linked to Obesity (ANGELO) framework. Physical, economic, policy and sociocultural dimensions of the Maltese obesogenic environment are explored. Conclusions: Malta's obesity rates may be the result of an obesogenic environment characterised by limited infrastructure for active living combined with an energy-dense food supply. Further research is required to identify and quantify the strength of interactions between these potential environmental drivers of obesity in order to enable appropriate countermeasures to be developed.

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Tackling of unhealthy diets, physical inactivity, and obesity: health effects and cost-effectiveness

Cited by 734 publications

References 18 publications

Translational Behavioral Medicine: a pathway to better health

Translational Behavioral Medicine: a pathway to better health

Non-communicable diseases in Indian slums: re-framing the Social Determinants of Health

An obesogenic island in the Mediterranean: mapping potential drivers of obesity in Malta

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