We searched PubMed for full-text original studies and review articles written in English between Jan 1, 1990, and May 31, 2013, to identify reports on metabolic parameters and mortality in obese people. The search terms used were “metabolically healthy obesity”, “metabolically benign obesity”, “metabolic syndrome”, “insulin sensitivity”, “insulin resistance”, “fitness”, “bariatric surgery”, and “lifestyle intervention” together with “mortality”. The reference lists of the identified papers were
Personal ViewMetabolically healthy obesity: epidemiology, mechanisms, and clinical implications
Introduction
The health consequences of obesity are well documented. In particular, the worldwide increase in the incidence of type 2 diabetes, cardiovascular disease, and several types of cancer is thought to be largely attributed to the obesity epidemic.1, 2, 3, 4 Therefore, prevention and treatment of obesity to reduce risk of chronic diseases at the population and individual level is crucial. Although the deleterious metabolic effects of obesity are widely recognised at population level, individual differences exist in metabolic responses to obesity. Findings from many studies show that a subgroup of obese individuals might be protected from metabolic complications of obesity or might be at substantially lower risk than expected for their degree of obesity. This subgroup has been described as having metabolically healthy obesity.5, 6, 7, 8, 9 Many questions have been raised regarding the biological basis, transitory nature, and predictors of metabolically healthy obesity.
Findings from epidemiologic studies have shown that increased waist circumference is associated with mortality and cardiovascular disease independent of overall adiposity.4, 10 Additionally, data from several small studies suggested that some obese people are not insulin resistant.5, 11, 12, 13 This finding was unexpected, because generally, a strong positive association exists between body-mass index (BMI) and insulin resistance. Insulin resistance is thought to represent one of the most important pathomechanisms of metabolic diseases and also of certain types of cancer.14, 15 In addition to body fat distribution and insulin resistance, other metabolic risk factors might also be useful in the characterisation of metabolically healthy obesity in view of their well-established association with risk, including lipid profiles, blood pressure, inflammation, or physical fitness.
In this Personal View we describe observational data that gave rise to the idea of metabolically healthy obesity. We then discuss the key parameters that might help to distinguish metabolically healthy obesity from the general form of obesity, such as smaller waist circumference, increased physical fitness, decreased insulin resistance, and low prevalence of metabolic risk factors despite a high BMI. We also discuss potential biological mechanisms underlying this phenotype and its clinical implications.
Section snippets
Observational data supporting the idea of metabolically healthy obesity
Individuals with metabolically healthy obesity are a subset of individuals who meet the standard BMI cutoff point for obesity (≥30 kg/m2), but are regarded as metabolically healthy because they do not have other major cardiovascular risk factors (figure 1). This subgroup is believed to be at much lower risk of cardiovascular morbidity and mortality compared with obese individuals with major cardiovascular risk factors, who can consequently be judged as being metabolically at risk or
Findings from animal studies
To identify mechanisms underlying adiposity-mediated metabolic diseases in human beings, data from animal studies need to be considered. In such studies, predominantly genetic modification of animals allows precise investigation of the interplay of metabolically relevant tissues and molecular signalling pathways. Three rodent models have provided important information about the protective effects of the expansion of adipose tissue on metabolism. The most compelling evidence that metabolically
Findings from human studies
Consistent with data from animal studies, obese individuals also have different fat distribution patterns that are related to distinct metabolic phenotypes.8, 40 Large differences can be seen in skeletal muscle and, predominantly, in liver fat content (figure 3).8 Liver fat content is substantially associated with insulin sensitivity, and much more so than visceral fat mass.8, 41, 42, 43, 44 Furthermore, liver fat content, but not visceral fat mass, was independent of atherosclerotic risk
Effectiveness of interventions in metabolically healthy obesity
In view of the magnitude of the obesity epidemic, stratification of obese individuals, in terms of their risk for obesity-related metabolic diseases, becomes more important for prevention and treatment purposes. Scarce resources can be more effectively used among those at risk; various prevention and treatment strategies can be very expensive and time consuming. Therefore, an important question is whether metabolically healthy obesity is indeed a concept allowing the discrimination of obese
Clinical and public health implications
The lack of a standard definition of metabolically healthy obesity makes it unclear how the concept of metabolically healthy obesity can be incorporated into clinical practice. Nevertheless, clinicians need to carefully assess the metabolic status of obese people to devise strategies to reduce their risk of cardiovascular disease, mortality, and possibly cancer incidence. This reduction can be achieved with a measurement of the waist circumference, to provide an assessment of the body fat
Conclusions
The idea of metabolically healthy obesity is not new, but the concept has only recently been widely recognised in the discipline. Insufficient standard criteria to define metabolically healthy obesity and the largely unknown biological mechanisms are barriers to the application of the metabolically healthy obesity phenotype to clinical practice. Nonetheless, this idea underscores the need to consider other metabolic and anthropometric parameters in addition to BMI. This concept might be used in
Search strategy and selection criteria
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