Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 26, 2026.

Beyond Obesity and Lifestyle: A Review of 21st Century Chronic Disease Determinants

Garry Egger, John Dixon

BioMed Research International · 2014 · Review

doi:10.1155/2014/731685

Abstract

The obesity epidemic and associated chronic diseases are often attributed to modern lifestyles. The term “lifestyle” however, ignores broader social, economic, and environmental determinants while inadvertently “blaming the victim.” Seen more eclectically, lifestyle encompasses distal, medial, and proximal determinants. Hence any analysis of causality should include all these levels. The term “anthropogens,” or “… man-made environments, their by-products and/or lifestyles encouraged by these, some of which may be detrimental to human health ” provides a monocausal focus for chronic diseases similar to that which the germ theory afforded infectious diseases. Anthropogens have in common an ability to induce a form of chronic, low-level systemic inflammation (“metaflammation”). A review of anthropogens, based on inducers with a metaflammatory association, is conducted here, together with the evidence for each in connection with a number of chronic diseases. This suggests a broader view of lifestyle and a focus on determinants, rather than obesity and lifestyle per se as the specific causes of modern chronic disease. Under such an analysis, obesity is seen more as “a canary in a mineshaft” signaling problems in the broader environment, suggesting that population obesity management should be focused more upstream if chronic diseases are to be better managed.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.

1. Introduction

Modern western lifestyles are often blamed for the current obesity and associated chronic disease pandemics. This seems plausible as such problems, at a population level, only really began 3-4 decades ago. They are also not usually caused by any microbial agent and have occurred too quickly for genome changes to be a factor (although this does not preclude environmental influences on gene expression). The increased aging of the population is a consideration, but increased risk factors across all age groups limit aging as a sole explanation. Other behaviors and environmental factors have been implicated, but a single causal underpinning is illusive, thus making “lifestyle” an attractive proposition.

However, lifestyle (“a mode of life chosen by a person or group”-Macquarie Dictionary) infers volitional behavior on the part of an individual. This has a pejorative meaning for some social scientists as it is thought to ignore the deeper social, economic, and environmental determinants of both lifestyle and disease, while focusing on individual responsibility, that is, “victim blaming”. A more holistic view would involve not only looking at the “cause” of a disease, but also, as Rose has pointed out in, looking at the “cause of the cause,” and even the “cause of the cause of the cause.” This is particularly relevant for an understanding of the chronic, noncommunicable diseases (NCDs) often linked to obesity, in contrast to infectious/communicable diseases that have prevailed historically.

Infectious diseases benefited from a monocausal focus provided by the “germ theory,” which culminated in improvements in public health, hygiene, immunization, and the development of antibiotics in the early 20th century.

Chronic diseases began to replace the decline in infections in the west in the late 20th century, taking health experts somewhat by surprise. Epidemiologists noted a phase in the development of a country called the “epidemiological transition” when chronic diseases take over from infections as the main disease burden. This occurred in the 1970s and 1980s for many developed economies in North America, Europe, and the Asian-Pacific region and is currently occurring in others, such as Brazil, Russia, India, and China. The double-edged sword of progress, which facilitated control over infectious diseases, instigated an unhealthy trend in chronic diseases. The worldwide rise in obesity has been an accompaniment to this.

2. Causality in Disease

While infectious disease can usually be ascribed to microbial causes, causality in NCDs is more problematic. In most cases the agent of causality is ill-defined, but there are layers of influence. As shown in Figure 1, most immediate to the disease are risk factors, which, in turn, are influenced by drivers or determinants at different levels from proximal or “downstream” (i.e., more immediate to the disease) to medial and then distal or “upstream.” Heart disease for example has proximal determinants of smoking, nutrition, and inactivity, medial determinants of peer pressure and food and exercise environments, and distal determinants of economic and social policies.

Unlike the germ theory for communicable diseases, there has been no equivalent underlying link between the determinants shown in Figure 1 and chronic diseases. Such a revelation is unlikely to solve the chronic disease problem. However it could help rationalize treatment resources and mitigate the inevitable disabilities and morbidities associated with aging.

The discovery, in the 1990s, of a “new” form of inflammation, which appears to be present in many if not all chronic diseases, offers the prospect of an underlying generic disease marker pointing to determinants beyond the diverse explanations of aging and lifestyle. The term “metaflammation” has been used to define a form of low-grade, chronic, and systemic inflammation, originally ascribed to obesity. Subsequent research has shown that metaflammation is not limited to obesity, but associated with other lifestyle and environmental “inducers”, examples of which have been linked, either directly or indirectly to certain chronic diseases and conditions like heart disease, type 2 diabetes, respiratory problems, many forms of cancer, and even depression and dementia. Metaflammation appears to be part of a metabolic cascade, including cellular oxidative stress and insulin resistance, which induces allostatic overload, dysmetabolism, and ultimately chronic disease. This raises the question of whether obesity is a necessary condition for the chronic diseases with which it is associated or just a sufficient condition in some circumstance and whether lifestyle and environmental inducers which may (or may not) lead to obesity can be independent determinants of disease as indicated by metaflammatory processes.

Inducers of metaflammation, which have largely arisen since the industrial revolution, have been labeled “anthropogens,” or “…man-made environments, their by-products and/or lifestyles encouraged by these, some of which may be detrimental to human health”. Anthropogens incite a low level, but persistent immune response to a not-immediately life-threatening situation, which can become dysmetabolic when exposure is chronic. Because such a response is undifferentiated, the outcome is systemic rather than localized.

An individual's susceptibility to a range of anthropogens clearly varies with genetic predisposition to chronic diseases carried through the genome including obesity, diabetes, many cancers, and cardiovascular disease. However, during the second half of the 20th century, a revolution in our understanding of environmental influences and lifelong gene expression has emphasized the importance of early environmental influences on the later development of chronic disease. It is now clear that epigenetics, the heritable changes in gene activity not driven by change in the DNA sequence, has a major influence on the susceptibility to chronic disease for both individuals and their offspring. Chronic disease driven by a mismatch between the environment one is programmed for and the environment one is born into is highlighted by the extreme susceptibility of indigenous and developing communities to anthropogens and related chronic diseases.

Obviously, not all anthropogens are unhealthy for all people. The identification of those that have negative health effects however is important for developing a focus on chronic disease aetiology. We consider that a review of anthropogens could focus the attention of health workers and hence provide such a review below. We provide evidence of metaflammatory reactions from either inadequate or excessive exposure to these and evidence for their association with a number of chronic diseases. A list of disease categories is shown in Table 1.

A summary of anthropogens associated with these disease categories, discussed in the text, is given in Table 2 using the acronym NASTIE ODOURS.

3. Identifying “Anthropogens”

In discussions of modern chronic disease etiology, smoking, poor nutrition, excess weight, and alcohol use stand out as the dominant preventable determinants. However recent research has expanded this considerably to take account of social, cultural, occupational, environmental, and other factors (“anthropogens”) in the hierarchical structure (Figure 1). A list of these is described below. The discussion is not meant to be an extensive review of each topic area but rather to cover the main components of each identified here as being associated with chronic disease and with a common metaflammatory base. Each is also considered in its own right an independent determinant in the absence of obesity or weight gain.

Nutrition. The importance of nutrition for the prevention and management of chronic disease is well known. Inadequate or overnutrition has been proposed to account for up to two-thirds of risk for certain chronic problems like type 2 diabetes and cardiovascular disease and a significant proportion of other chronic ailments. Health problems have been related to both specific nutrients and overall meal patterns, with inflammatory biomarkers generally accompanying those foods/eating patterns associated with disease risk in the presence and the absence of obesity.

Excessive energy intake, particularly of high energy-dense, but low nutrient-dense products, is a major problem of industrialised societies. Still, excessive intake of even healthy foods can increase postprandial (and potentially chronic) metaflammation, suggesting negative long-term outcomes. At the other extreme, chronic energy restriction is now well documented as being associated with increased longevity and improved heath.

In relation to nutrition quality, studies have reported increased risk and elevated metaflammation from excessive amounts of sugars, salt, alcohol, and (saturated and trans) fats, as well as inadequate levels of fibre, fruit, vegetables, grains, and certain nutrients. Levels of processing have been proposed as a general indication of risk, and there appears to be a clear postprandial “metaflammatory” trail from processed versus whole foods, suggesting an evolutionary role in nutritional health. Although individual and genetic factors influence outcomes, the worst-case scenario for obesity and chronic disease based on current evidence would be an excessive amount of a modern, western diet made up of highly processed foods. While there may be controversy over an ideal diet (mediterranean, anti-inflammatory, paleo, etc.), Michael Pollan's dictum to “Eat food. Mostly plants. Not too much”, provides a simple, concise, and accurate long-term nutritional goal.

(In)Activity. Inactivity, as well as sedentary activities like sitting, in contrast to insufficient physical activity, is an independent risk factor for disease. It is one of the major unhealthy anthropogens of our times with links to over 35 different diseases.

Movement, physical activity, and exercise can be conceived of as gradations along a scale and all have a role, to different degrees, in primary prevention of a range of diseases and, in some cases, treatment and reversal of risks and/or disease entities (namely, type 2 diabetes). This is mainly through the modems of aerobic capacity and/or muscle strength and integrity. Flexibility and balance provide musculoskeletal integrity that can enhance quality of life.

While controversies exist about type, intensity, frequency, and duration of physical activity, there is no dispute about the health value of an optimal physical activity requirement for humans. A generic prescription based on “volume” (intensity × frequency × duration) incorporating both aerobic and resistance training is appropriate in the absence of a more detailed individual-genetic understanding. In the absence of this, recommendations that “…any activity is better than none, and more is better than a little”, and for individuals to “think of movement as an opportunity, not an inconvenience” are appropriate. The relationship between activity and health has been referred to as a U-shaped function, with excessive exercise having diminishing health benefits as reflected in increased metaflammation, similar to that of inactivity.

Poor nutrition and inactivity are the best-known inducers of weight gain. Several studies however now show that either poor nutrition or inactivity can independently modify metaflammation without significant changes in weight.

Stress, Anxiety, and Depression. The nature of stress has changed in recent times from an acute warning signal to a chronic strain on physiological adaptation. Typically, the body's reaction to a stressor has been “flight” or “fight,” but these options are less viable in the modern environment, leading to chronic effects such as elevated adrenocortical hormone concentrations, activation of the sympathetic nervous system, ailments like heart disease, and accompanying vascular, metabolic, and inflammatory processes. Of itself, stress is not a health issue, and a certain amount within the coping capacity of the individual is vital for a healthy life. It is the “strain,” resulting from excessive stress, outside the limitations of the stressee to cope, and resulting in anxiety and depression that can lead to allostasis and chronic disease.

Anxiety is a form of “feared helplessness” defined as “…a thin stream of fear trickling through the mind. If encouraged, it cuts a channel into which all other thoughts are drained”. Anxiety occurs while an individual is striving to adapt and the association of this with ill-health is diffuse. However it is when striving ceases that depression or “learned helplessness” can result, with more defined channels into a range of chronic diseases. High levels of depression have been shown to be related to a range of chronic diseases from type 2 diabetes to Alzheimer's. A consistent finding is a link between stress, anxiety, and depression and increased inflammatory markers, which can be associated with or independent of body weight.

Technology-Pathology. The association of chronic disease with certain modern forms of technology is often overlooked or disregarded. This can range from death or chronic pain initiated from motor vehicle or machine injuries to auditory problems from amplified music. At the extremes, it can range from mortality and morbidity from firearms and high tech weapons used in warfare to apparently obscure problems like dermatoses, other skin disorders, impaired vision, and repetitive strain injury from excessive computer and small screen use.

Other recent problems within this category are acute and chronic problems that occur while focusing on use of social media (e.g., texting and tweeting) whilst carrying out other activities, such as driving. Because of its immediacy, social media bullying and intimidation can also lead to psychological morbidities and even suicide amongst prone youth, although this is not as yet well documented in the medical literature. Other problems such as “facebook depression” are only beginning to emerge. Social contagion effects on disease are amplified through the use of social media as shown in the association between social networks and chronic disease risks like obesity and smoking. Control of technology misuse is traditionally through legislative restrictions (i.e., use of cell phones while driving) but personal controls on behavior are also likely to be necessary.

Inadequate Sleep. Healthy sleep is the anchor for a healthy life, thus interacting with other chronic disease determinants discussed here. Together with inactivity, inadequate sleep is one of the most underrated lifestyle risk factors for chronic disease. Poor sleep is associated with an increase in inflammatory markers, as well as more classic risk factors and significant social impacts. The cumulative long-term effects of sleep deprivation and sleep disorders have been associated with a wide range of deleterious health consequences including an increased risk of hypertension, diabetes, obesity, depression, heart attack, and stroke. As many as 80% of people in western countries will suffer from a sleep problem at some stage in their life, 30–50% will have difficulty in sleeping. According to the US National Sleep Foundation, the average of eight to nine hours sleep per night in previous years has now dropped to around seven hours per night, with 37% of young adults getting <7 hours in 2002 compared to less than half that (16%) in 1960.

Modern lifestyles are often in direct competition with sleep so much so that it could be argued that the majority of modern sleep problems have a basis in lifestyle choices. The combination of sufficient sleep with other lifestyle factors (e.g., physical activity, a healthy diet, moderate alcohol consumption, and nonsmoking) has additional value in heart disease prevention than sleep alone. Sleep deprivation can also indirectly affect other disease determinants. Appetitive food mechanisms in the brain for example stimulate a greater desire for “junk” food after sleep deprivation, thus potentially enhancing obesity. Unfortunately chronic disease often interferes with sleep quality and quantity generating a bidirectional vicious cycle, a situation commonly encountered in chronic disease. Inadequate sleep also has a strong relationship with elevated inflammatory markers. On the positive side, sleep can be dramatically improved with a healthy approach to the lifestyle and a structured approach to sleep hygiene. Simple actions like the removal of interactive media from adolescent bedrooms can be a starting point for better sleep.

Environment. Aspects of the environment have always been a consideration in public health. However the rise of chronic diseases has led to a more structured approach to this. Swinburn et al., for example, consider four types (physical, economic, policy, and sociocultural) and two sizes (micro and macro) of “obesogenic” environments, which serve to draw attention away from purely biological explanations of obesity and by extension chronic disease.

Small particle pollution from exhaust and industrial fumes as well as a wide range of chemicals in the air, water, soil, and households makes up the natural physical environment. A large group of such pollutants, labeled endocrine disrupting chemicals (EDCs), has been attributed to significant physiological and even behavioural changes such as increased hunger, which can lead to obesity. Exposure data (e.g., to bisphenol A) suggests a link between this and obesity in children, leading to the suggestion of some chemicals being “obesogens”. Increases in carbon in the atmosphere are an example of a dramatic macroenvironmental change with potential health (as well as climate change) impacts. Many environmental factors have also been shown to lead to increased metaflammation as an intermediatory process with links to chronic disease.

Sociocultural influences are reflected, for example, in attitudes to feasting in some cultures which may have been suitable in historical times but are contraindicated with the imposition of a western culture and diets. Political environments make the “rules” that allow, for example, smoking or drinking in the family or unrestricted sales of unhealthy foods and products (e.g., cigarettes) in society. Overarching all of this is the macroeconomic system, including the modern economic growth model which demands consumption that is not necessarily conducive to health.

Recent findings relating to the gut microbiome suggest that the inner environment (“in”-vironment in contrast to “en”-vironment) should also be considered within this category. Changes in the gut microbiome not only appear to result from unhealthy activities but also influence outcomes, such as obesity through better energy harvesting through a “leaky gut”.

Some protection against unhealthy environments may be provided by positive lifestyle changes. It should be obvious however that significant macroenvironmental reforms through legislative change, some of which may crossover with those required to moderate climate change and other environmental degradation, are necessary.

Occupation. Meaningful work is an important component of good health. Generally however it is the direct effects on health and safety—exposure to machinery, chemicals, injury, and so forth—or the adverse health effects of work hours and shift work and their effects on inflammation that are considered. Recent concern has turned more to social factors. Job insecurity and job strain, for example, have been shown to increase the risk of heart disease (although the effect may be modest and largely explainable by socioeconomic factors). Poor job satisfaction is linked to “burn out,” low self-esteem, depression, and anxiety and excessive work hours to a risk of ill-health and damage to social relationships. In work with the British Civil Service, Marmot and colleagues have reported on the health effects of perceived social justice, “burn out”, and social standing relating to occupational status. Changes in the nature and security of work in the modern world mean that both the physical and psychological components of occupations need to be considered part of a lifestyle/environmental perspective on health. Hence some forms of occupation can be seen as modern-day, chronic disease promoting anthropogens.

Drugs, Cigarettes, and (Excessive) Alcohol. Drugs, both licit and illicit, are responsible for a significant and increasing degree of morbidity and mortality in modern societies. The stand-out amongst licit products is cigarette smoking and its links with cancers, heart disease, and respiratory problems. Legal medications form another category of drug related mortality and morbidity. Shapiro et al. categorise problematic drug use into hazardous use, substance abuse, or substance dependence. Unfortunately some of the most effective medications for disorders such as schizophrenia, depression, and certain forms of epilepsy increase hunger, weight gain, and cardio-metabolic risk. Illicit drug use (and the accompanying health effects) appears to increase with increased urbanization, economic prosperity, and inequality.

Its more ambiguous outcomes make alcohol a more diverse problem. Some health and social benefits of moderate consumption are difficult to weigh up against the severe health and social disruption of excessive consumption, binge drinking, social and economic costs, and other chronic disease outcomes. Overuse of alcohol is also known to have deleterious effects on several forms of disease including cancers, although this literature is not expanded on here. While excessive alcohol intake is inflammatory, moderate intake has an anti-inflammatory effect.

Over- and Underexposure. While many lifestyle-related behaviours have a linear association with health (e.g., smoking and sleep), others have a “U” or “tick-shaped” relationship (e.g., physical activity, alcohol, and sleep). Exposure to ultraviolet radiation (UVR) from sunlight is a case in point. UVR is classified as a carcinogen and a major determinant for several forms of skin disorders. The incidence of melanoma, the most deadly form of skin cancers, has doubled in recent years, although this is less common than other forms of skin cancers and photoaging. Intermittent extreme exposures and sunburn, as well as chronic overexposure can have differing degrees of risk. Overexposure to heat and dryness (low humidity) is also thought to have adverse effects on the skin. Passive smoking is yet another form of overexposure with increased risks of chronic diseases like type 2 diabetes.

At the other extremes, underexposure to sunlight can lead to deficiencies in vitamin D, thus increasing risks of heart disease, type 2 diabetes, and depression, as well as more well-known problems such as rickets. Underexposure to daylight can also have unhealthy consequences in seasonal affective disorders (SAD) suffered at extreme latitudes.

Relationships. The quality of personal and social relationships is clearly linked to chronic disease outcomes including heart disease, stroke, some cancers, and all-cause mortality.

The pathways for this are, as yet, unclear and psychological mediators have not been proven, but inflammatory processes have been associated with poor social relations such as spousal ambivalence and isolation and can even stem back to maternal separation in childhood. People who have supportive close relationships have lower levels of systemic inflammation compared to people who have unsatisfactory relationships. Negative and competitive social interactions can even increase proinflammatory cytokine activity on a daily level. In reverse, a Finnish study has shown that social support can alleviate the inflammation associated with childhood adversities. Improving awareness of the importance of social support and assisting in finding such support should be integral to chronic disease management.

Social Disadvantage. Social disadvantage is associated with diseases like type 2 diabetes and cardiovascular disease. Disadvantage exists not only through socioeconomic status and income inequalities but also through economic stress and security, with metaflammation as a possible link.

According to the Commission on Social Determinants of Health, inequities in power, money, and resources are responsible for much of the inequalities in health within and between countries. While the effects of socioeconomic status on health (and inflammation) are relatively clear, the effects of income disparities on health have been more controversial. Wilkinson and Pickett in a descriptive analysis of ratios of rich to poor within and between OECD countries show a linear worsening of a number of health and social problems (obesity, infant mortality, teenage pregnancies, etc.) in countries with greater income gradients.

Much has been made of the mechanisms underlying social disadvantage, socioeconomic status, and inequality. Stringhini et al. show that modifiable health behaviours and obesity could explain around 50% of the incidence in type 2 diabetes. Increases in inflammatory processes are also common with social disadvantage in different forms (see Figure 2).

4. Discussion

We have categorized a number of determinants of modern chronic diseases within a hierarchy using the acronym NASTIE ODOURS (Table 2). In doing so, we have extended the concept of lifestyle to include broader aspects of the social, political, and economic environments. Because of their man-made nature (in contrast to the microbial nature of infectious disease determinants), these have been collectively called anthropogens. In addition, we have shown that most of the anthropogens discussed here have a common physiological link through chronic, systemic inflammatory (metaflammation) processes.

An obvious omission from our classification is obesity. There are two reasons for this. In the first place, obesity should be seen as a risk factor, rather than a primary determinant of disease, which is downstream, sometimes, but not always resulting from some of the determinants considered here, like overnutrition, inactivity, stress, social pressure, and so forth. A second reason is the variability of causal links between obesity and disease as exemplified in the “obesity paradox” and metaflammatory associations with disease preceding or in the absence and presence of obesity. Hence obesity is probably more a “canary in a mineshaft,” warning of problems in the broader environment than a universal cause of disease.

There are a number of implications stemming from this discussion. Firstly, arguments about the best “diets” for weight loss and chronic disease become less relevant when looking at this big picture pattern of disease. Secondly, the presence of independent upstream determinants means that weight loss should not be the sole focus of chronic disease management. Losses can be expected from changing aspects of the NASTIE ODOURS formula, but weight loss should not be seen as the sole driver of the process. Third, it would be wrong to assume that chronic disease determinants should be managed singly. The interactive nature of these determinants suggests more of a “systems” model approach to managing chronic disease problems than is often considered. Inadequate sleep and resultant fatigue, for example, can lead to a reduction in physical activity and a change in dietary patterns, uptake of technology-based entertainment, increased obesity, and resultant depression, which can continue and/or widen the cycle. The use of a “diet” for treating obesity, when underlying inflammatory processes may be related to all these more obscure determinants, is unlikely to provide optimal health. Finally a concentration on lifestyle through simply proximal and even medial determinants as defined here is unlikely to significantly influence the problem while more dominant upstream determinants remain. Effective management of modern chronic disease thus needs to be broadened to encompass a greater sphere of influence than is often publically perceived or politically popular.

References 142

  1. 1.

    Power ML, Schulkin J. The Evolution of Obesity. 2009.

    Not in our library

  2. 2.

    Finucane MM, Stevens GA, Cowan MJ, et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. The Lancet. 2011;377(9765):557-567.

    Not in our library10.1016/s0140-6736(10)62037-5

  3. 3.

    King DE, Matheson E, Chirina S, Shankar A, Broman-Fulks J. The status of baby boomers' health in the United States: the healthiest generation? Journal of the American Medical Association. 2013;173(5):385-386.

    Not in our library10.1001/jamainternmed.2013.2006

  4. 4.

    Oschman JL. Chronic disease: are we missing something? Journal of Alternative and Complementary Medicine. 2011;17(4):283-285.

    Not in our library10.1089/acm.2011.0101

  5. 5.

    Genuis SJ. What’s out there making us sick? Journal of Environmental and Public Health. 2012;2012:10 pages.

    Not in our library10.1155/2012/605137

  6. 6.

    Have MT, van der Heide A, Mackenbach JP, de Beaufort ID. An ethical framework for the prevention of overweight and obesity: a tool for thinking through a programme's ethical aspects. European Journal of Public Health. 2013;23(2):299-305.

    Not in our library10.1093/eurpub/cks052

  7. 7.

    Rose G. The Strategy of Preventive Medicine. 1992.

    Not in our library

  8. 8.

    Harris B. Public health, nutrition, and the decline of mortality: the McKeown thesis revisited. Social History of Medicine. 2004;17(3):379-407.

    Not in our library

  9. 9.

    Anderson H. History and philosophy of modern epidemiology.

    Not in our library

  10. 10.

    McKeown T. The Origins of Human Disease. 1998.

    Not in our library

  11. 11.

    Sanders JW, Fuhrer GS, Johnson MD, Riddle MS. The epidemiological transition: the current status of infectious diseases in the developed world versus the developing world. Science Progress. 2008;91(1):1-38.

    Not in our library10.3184/003685008x284628

  12. 12.

    Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444(7121):860-867.

    Not in our library10.1038/nature05485

  13. 13.

    Hotamisligil GS, Shargill NS, Spiegelman BM. Adipose expression of tumor necrosis factor-α: direct role in obesity-linked insulin resistance. Science. 1993;259(5091):87-91.

    Not in our library10.1126/science.7678183

  14. 14.

    Medzhitov R. Origin and physiological roles of inflammation. Nature. 2008;454(7203):428-435.

    Not in our library10.1038/nature07201

  15. 15.

    Libby P. Inflammatory mechanisms: the molecular basis of inflammation and disease. Nutrition Reviews. 2007;65(12):S140-S146.

    Not in our library10.1111/j.1753-4887.2007.tb00352.x

  16. 16.

    Gregor MF, Hotamisligil GS. Inflammatory mechanisms in obesity. Annual Review of Immunology. 2011;29:415-445.

    Not in our library10.1146/annurev-immunol-031210-101322

  17. 17.

    Egger G, Dixon J. Inflammatory effects of nutritional stimuli: further support for the need for a big picture approach to tackling obesity and chronic disease. Obesity Reviews. 2010;11(2):137-149.

    Not in our library10.1111/j.1467-789x.2009.00644.x

  18. 18.

    Egger G, Dixon J. Non-nutrient causes of low-grade, systemic inflammation: support for a “canary in the mineshaft” view of obesity in chronic disease. Obesity Reviews. 2011;12(5):339-345.

    Not in our library10.1111/j.1467-789x.2010.00795.x

  19. 19.

    Egger G. In search of a “germ theory” equivalent for chronic disease. Preventing Chronic Disease. 2012;9(11):1-7.

    Not in our library10.5888/pcd9.110301

  20. 20.

    Ezzati M, Riboli E. Behavioral and dietary risk factors for non-communicable diseases. The New England Journal of Medicine. 2013;369:954-964.

    Not in our library10.1056/nejmra1203528

  21. 21.

    Diet, Nutrition, and the Prevention of Chronic Diseases. 2003;916.

    Not in our library

  22. 22.

    Nicholas L, Roberts D, Pond D. The role of the general practi­tioner and the dietitian in patient nutrition management. Asia Pacific Journal of Clinical Nutrition. 2003;12(1):3-8.

    Not in our library

  23. 23.

    Chronic diseases.

    Not in our library

  24. 24.

    Galland L. Diet and inflammation. Nutrition in Clinical Practice. 2010;25:634-664.

    Not in our library10.1177/0884533610385703

  25. 25.

    Barbaresko J, Koch M, Schulze MB, Nothlings U. Dietary pattern analysis and biomarkers of low-grade inflammation: a systematic literature review. Nutrition Reviews. 2013;71(8):511-527.

    Not in our library10.1111/nure.12035

  26. 26.

    Calder PC, Ahluwalia N, Brouns F, et al. Dietary factors and low-grade inflammation in relation to overweight and obesity. British Journal of Nutrition. 2011;106(supplement 3):S75-S78.

    Not in our library10.1017/s0007114511005460

  27. 27.

    O'Keefe JH, Gheewala NM, O'Keefe JO. Dietary strategies for improving post-prandial glucose, lipids, inflammation, and cardiovascular health. Journal of the American College of Cardiology. 2008;51(3):249-255.

    Not in our library10.1016/j.jacc.2007.10.016

  28. 28.

    Bales CW, Kraus WE. Calorie restriction: implications for human cardiometabolic health. Journal of Cardiopulmonary Rehabilitation and Prevention. 2013;33(4):201-208.

    Not in our library10.1097/hcr.0b013e318295019e

  29. 29.

    Monteiro CA. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutrition. 2009;12(5):729-731.

    Not in our library10.1017/s1368980009005291

  30. 30.

    Cordain L. The Paleo Answer. 2012.

    Not in our library

  31. 31.

    Campbell TC, Campbell TM. The China Study. 2006.

    Not in our library

  32. 32.

    Minich DM, Bland JS. Personalized lifestyle medicine: relevance for nutrition and lifestyle recommendations. The Scientifc World Journal. 2013;2013:14 pages.

    Not in our library10.1155/2013/129841

  33. 33.

    Pollan M. In Defense of Food: An Eater’s Manifesto. 2008.

    Not in our library

  34. 34.

    Dunstan D, Howard H, Healy GN, Owen N. Too much sitting—a health hazard. Diabetes Research and Clinical Practice. 2012;97(3):368-376.

    Not in our library10.1016/j.diabres.2012.05.020

  35. 35.

    Booth FW, Chakravarthy MV, Gordon SE, Spangenburg EE. Waging war on physical inactivity: using modern molecular ammunition against an ancient enemy. Journal of Applied Physiology. 2002;93(1):3-30.

    Not in our library10.1152/japplphysiol.00073.2002

  36. 36.

    Greenhaff PL, Hargreaves M. ‘Systems biology’ in human exercise physiology: is it something different from integrative physiology? Journal of Physiology. 2011;589(5):1031-1036.

    Not in our library10.1113/jphysiol.2010.201525

  37. 37.

    National Physical Activity Guidelines. 1999.

    Not in our library

  38. 38.

    Pinho RA, Silva LA, Pinho CA, et al. Oxidative stress and inflammatory parameters after an ironman race. Clinical Journal of Sport Medicine. 2010;20(4):306-311.

    Not in our library10.1097/jsm.0b013e3181e413df

  39. 39.

    Pedersen BK. The anti-inflammatory effect of exercise: its role in diabetes and cardiovascular disease control. Essays in Biochemistry. 2006;42:105-117.

    Not in our library10.1042/bse0420105

  40. 40.

    Phillips MD, Patrizi RM, Cheek DJ, Wooten JS, Barbee JJ, Mitchell JB. Resistance training reduces subclinical inflammation in obese, postmenopausal women. Medicine and Science in Sports and Exercise. 2012;44(11):2099-2110.

    Not in our library10.1249/mss.0b013e3182644984

  41. 41.

    Richard C, Couture P, Desroches S, Charest A, Lamarche B. Effect of the Mediterranean diet with and without weight loss on cardiovascular risk factors in men with the metabolic syndrome. Nutrition, Metabolism and Cardiovascular Diseases. 2011;21(9):628-635.

    Not in our library10.1016/j.numecd.2010.01.012

  42. 42.

    Lambert EA, Lambert GW. Stress and its role in sympathetic nervous system activation in hypertension and the metabolic syndrome. Current Hypertension Reports. 2011;13(3):244-248.

    Not in our library10.1007/s11906-011-0186-y

  43. 43.

    Gémes K, Ahnve S, Janszky I. Inflammation a possible link between economical stress and coronary heart disease. European Journal of Epidemiology. 2008;23(2):95-103.

    Not in our library10.1007/s10654-007-9201-7

  44. 44.

    Almadi T, Cathers I, Chow CM. Associations among work-related stress, cortisol, inflammation, and metabolic syndrome. Psychophysiology. 2013;50(9):821-830.

    Not in our library10.1111/psyp.12069

  45. 45.

    Csikszentmihalyi M. Flow: The Psychology of Happiness. 1992.

    Not in our library

  46. 46.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

  47. 47.

    Seligman ME. Helplessness: On Depression, Development and Death. 1975.

    Not in our library

  48. 48.

    Dixon JB, Browne JL, Lambert GW, et al. Severely obese people with diabetes experience impaired emotional well-being associated with socioeconomic disadvantage: results from diabetes MILES—Australia. Diabetes Research and Clinical Practice. 2013;101(2):131-140.

    Not in our library10.1016/j.diabres.2013.05.017

  49. 49.

    Gracia-García P, de-la-Cámara C, Santabárbara J, et al. Depression and incident alzheimer disease: the impact of disease severity. The American Journal of Geriatric Psychiatry. 2013.

    Not in our library10.1016/j.jagp.2013.02.011

  50. 50.

    Hamer M, Stamatakis E. Inflammation as an intermediate pathway in the association between psychosocial stress and obesity. Physiology and Behavior. 2008;94(4):536-539.

    Not in our library10.1016/j.physbeh.2008.03.010

  51. 51.

    Hamer M, Molloy GJ, de Oliveira C, Demakakos P. Persistent depressive symptomatology and inflammation: to what extent do health behaviours and weight control mediate this relationship? Brain, Behavior, and Immunity. 2009;23(4):413-418.

    Not in our library10.1016/j.bbi.2009.01.005

  52. 52.

    Henderson E, Testa MA, Hartnick C. Prevalence of noise-induced hearing-threshold shifts and hearing loss among US youths. Pediatrics. 2011;127(1):e39-e46.

    Not in our library10.1542/peds.2010-0926

  53. 53.

    Ghasri P, Feldman SR. Frictional lichenified dermatosis from prolonged use of a computer mouse: case report and review of the literature of computer-related dermatoses. Dermatology Online Journal. 2010;16(12):p. 3.

    Not in our library

  54. 54.

    Wintzen M, van Zuuren EJ. Computer-related skin diseases. Contact Dermatitis. 2003;48(5):241-243.

    Not in our library10.1034/j.1600-0536.2003.00085.x

  55. 55.

    Agarwal S, Goel D, Sharma A. Evaluation of the factors which contribute to the ocular complaints in computer users. Journal of Clinical and Diagnostic Research. 2013;7(2):331-335.

    Not in our library10.7860/jcdr/2013/5150.2760

  56. 56.

    Keller K, Corbett J, Nichols D. Repetitive strain injury in computer keyboard users: pathomechanics and treatment principles in individual and group intervention. Journal of Hand Therapy. 1998;11(1):9-26.

    Not in our library10.1016/s0894-1130(98)80056-2

  57. 57.

    'Connor S O, Whitehill J, King K, et al. Compulsive cell phone use and history of motor vehicle crash. Journal of Adolescent Health. 2013.

    Not in our library10.1016/j.jadohealth.2013.05.015

  58. 58.

    O'Keefe GS, Clarke-Pearson K. Council on communications and media. The impact of social media on children, adolescents, and families. Paediatrics. 2011;127(4):800-804.

    Not in our library10.1542/peds.2011-0054

  59. 59.

    Christakis NA, Fowler JH. Social contagion theory: examining dynamic social networks and human behavior. Statistics in Medicine. 2013;32(4):556-577.

    Not in our library10.1002/sim.5408

  60. 60.

    Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. The New England Journal of Medicine. 2007;357(4):370-379.

    Not in our library10.1056/nejmsa066082

  61. 61.

    Christakis NA, Fowler JH. The collective dynamics of smoking in a large social network. The New England Journal of Medicine. 2008;358(21):2249-2258.

    Not in our library10.1056/nejmsa0706154

  62. 62.

    Dement WC. The Promise of Sleep. 2000.

    Not in our library

  63. 63.

    Wells ME, Vaughn BV. Poor sleep challenging the health of a Nation. The Neurodiagnostic Journal. 2012;52(3):233-249.

    Not in our library

  64. 64.

    Ferrie JE, Kivimäki M, Akbaraly TN, et al. Associations between change in sleep duration and inflammation: findings on C-reactive protein and interleukin 6 in the Whitehall II study. The American Journal of Epidemiology. 2013;178(6):956-961.

    Not in our library10.1093/aje/kwt072

  65. 65.

    Alvarez GG, Ayas NT. The impact of daily sleep duration on health: a review of the literature. Progress in Cardiovascular Nursing. 2004;19(2):56-59.

    Not in our library10.1111/j.0889-7204.2004.02422.x

  66. 66.

    Colten HR, Altevogt BM. Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem. 2006.

    Not in our library

  67. 67.

    Carskadon MA, Dement WC, Kyger MH, Roth TH, Dement WC. Normal human sleep: an overview. Principles and Practice of Sleep Medicine. 2010.

    Not in our library

  68. 68.

    International bedroom poll.

    Not in our library

  69. 69.

    Hoevenaar-Blom MP, Spijkerman AM, Kromhout D, Verschuren WM. Sufficient sleep duration contributes to lower cardiovascular disease risk in addition to four traditional lifestyle factors: the MORGEN study. European Journal of Preventive Cardiology. 2013.

    Not in our library10.1177/2047487313493057

  70. 70.

    Greer SM, Goldstein AN, Walker MP. The impact of sleep deprivation on the human brain. Nature Communications. 2013;2259.

    Not in our library10.1038/ncomms3259

  71. 71.

    Motivala SJ. Sleep and inflammation: psychoneuroimmunology in the context of cardiovascular disease. Annals of Behavioral Medicine. 2011;42(2):141-152.

    Not in our library10.1007/s12160-011-9280-2

  72. 72.

    Nishinoue N, Takano T, Kaku A, et al. Effects of sleep hygiene education and behavioral therapy on sleep quality of white-collar workers: a randomized controlled trial. Industrial Health. 2012;50(2):123-131.

    Not in our library10.2486/indhealth.ms1322

  73. 73.

    Brunborg GS, Mentzoni RA, Molde H, et al. The relationship between media use in the bedroom, sleep habits and symptoms of insomnia. Journal of Sleep Research. 2011;20(4):569-575.

    Not in our library10.1111/j.1365-2869.2011.00913.x

  74. 74.

    Swinburn B, Egger G, Raza F. Dissecting obesogenic environments: the development and application of a framework for identifying and prioritizing environmental interventions for obesity. Preventive Medicine I. 1999;29(6):563-570.

    Not in our library10.1006/pmed.1999.0585

  75. 75.

    Egger G, Swinburn B. An “ecological” approach to the obesity pandemic. British Medical Journal. 1997;315(7106):477-480.

    Not in our library10.1136/bmj.315.7106.477

  76. 76.

    Laumbach RJ, Kipen HM. Acute effects of motor vehicle traffic-related air pollution exposures on measures of oxidative stress in human airways. Annals of the New York Academy of Sciences. 2010;1203:107-112.

    Not in our library10.1111/j.1749-6632.2010.05604.x

  77. 77.

    Sears ME, Genuis SJ. Environmental determinants of chronic disease and medical approaches: recognition, avoidance, supportive therapy, and detoxification. Journal of Environmental and Public Health. 2012;2012:15 pages.

    Not in our library10.1155/2012/356798

  78. 78.

    Dietert RR. Misregulated inflammation as an outcome of early-life exposure to endocrine-disrupting chemicals. Reviews on Environmental Health. 2012;27(2-3):117-131.

    Not in our library10.1515/reveh-2012-0020

  79. 79.

    Kelishai R, Poursafa P, Jamshidi F. Role of environmental chemicals in obesity: a systematic review on the current evidence. Journal of Environmental and Public Health. 2013;2013:8 pages.

    Not in our library10.1155/2013/896789

  80. 80.

    Eng DS, Lee JM, Gebremariam A, Meeker JD, Peterson K, Padmanabhan V. Bisphenol A and chronic disease risk factors in US children. Paediatrics. 2013;132(3):e637-e645.

    Not in our library10.1542/peds.2013-0106

  81. 81.

    Klimentidis YC, Mark Beasley T, Lin H-Y, et al. Canaries in the coal mine: a cross-species analysis of the plurality of obesity epidemics. Proceedings of the Royal Society B: Biological Sciences. 2011;278(1712):1626-1632.

    Not in our library10.1098/rspb.2010.1890

  82. 82.

    Hersoug L-G, Sjodin A, Astrup A. A proposed potential role for increasing atmospheric CO2 as a promoter of weight gain and obesity. Nutrition and Diabetes. 2012;5(2, article e31).

    Not in our library10.1038/nutd.2012.2

  83. 83.

    Bind M-A, Baccarelli A, Zanobetti A, et al. Air pollution and markers of coagulation, inflammation, and endothelial function: associations and epigene-environment interactions in an elderly cohort. Epidemiology. 2012;23(2):332-340.

    Not in our library10.1097/ede.0b013e31824523f0

  84. 84.

    Egger G. Health, “illth” and economic growth: medicine, environment and economics at the cross-roads. The American Journal of Preventive Medicine. 2009;37(1):78-83.

    Not in our library10.1016/j.amepre.2009.03.004

  85. 85.

    Egger G, Swinburn B. Planet Obesity: How We Are Eating Ourselves and the Planet to Death. 2011.

    Not in our library

  86. 86.

    Bäckhed F. 99th dahlem conference on infection, inflammation and chronic inflammatory disorders: the normal gut microbiota in health and disease. Clinical and Experimental Immunology. 2010;160(1):80-84.

    Not in our library10.1111/j.1365-2249.2010.04123.x

  87. 87.

    Cani PD. Gut microbiota and obesity: lessons from the microbiome. Briefings in Functional Genomics. 2013;12(4):381-387.

    Not in our library10.1093/bfgp/elt014

  88. 88.

    Tilg H, Kaser A. Gut microbiome, obesity, and metabolic dysfunction. Journal of Clinical Investigation. 2011;121(6):2126-2132.

    Not in our library10.1172/jci58109

  89. 89.

    Genuis SJ, Birkholz D, Rodushkin I, Beesoon S. Blood, urine, and sweat (BUS) study: monitoring and elimination of bioaccumulated toxic elements. Archives of Environmental Contamination and Toxicology. 2011;61(2):344-357.

    Not in our library10.1007/s00244-010-9611-5

  90. 90.

    Egger G. Dousing our inflammatory environment(s): is personal carbon trading an option for reducing obesity—and climate change? Obesity Reviews. 2008;9(5):456-463.

    Not in our library10.1111/j.1467-789x.2008.00469.x

  91. 91.

    Figueiro MG, White RD. Health consequences of shift work and implications for structural design. Journal of Perinatology. 2013;33(supplement 1):S17-S23.

    Not in our library10.1038/jp.2013.7

  92. 92.

    Puttonen S, Viitasalo K, Härmä M. Effect of shiftwork on systemic markers of inflammation. Chronobiology International. 2011;28(6):528-535.

    Not in our library10.3109/07420528.2011.580869

  93. 93.

    Virtanen M, Nyberg ST, Batty GD, et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. British Medical Journal. 2013;347(1):p. f4746.

    Not in our library10.1136/bmj.f4746

  94. 94.

    Lundberg U, Cooper CL. The Science of Occupational Health: Stress, Psychobiology and the New World of Work. 2010.

    Not in our library

  95. 95.

    Burke R, Cooper CL. Long Working Hours Culture. 2008.

    Not in our library

  96. 96.

    Elovainio M, Ferrie JE, Singh-Manoux A, et al. Organisational justice and markers of inflammation: the Whitehall II study. Occupational and Environmental Medicine. 2010;67(2):78-83.

    Not in our library10.1136/oem.2008.044917

  97. 97.

    Toker S, Shirom A, Shapira I, Berliner S, Melamed S. The association between burnout, depression, anxiety, and inflammation biomarkers: C-reactive protein and fibrinogen in men and women. Journal of Occupational Health Psychology. 2005;10(4):344-362.

    Not in our library10.1037/1076-8998.10.4.344

  98. 98.

    Wilkinson RG, Marmot MG. Social Determinants of Health. 2006.

    Not in our library

  99. 99.

    Marmot MG. Status Syndrome: How Your Social Standing Directly Affects Your Health and Life Expectancy. 2004.

    Not in our library

  100. 100.

    Rehm J, Taylor B, Room R. Global burden of disease from alcohol, illicit drugs and tobacco. Drug and Alcohol Review. 2006;25(6):503-513.

    Not in our library10.1080/09595230600944453

  101. 101.

    Shapiro B, Coff D, McCance-Katz EF. A primary care approach to substance misuse. The American Family Physician. 2013;88(2):113-121.

    Not in our library

  102. 102.

    Hasnain M, Vieweg WV, Hollett B. Weight gain and glucose dysregulation with second-generation antipsychotics and antidepressants: a review for primary care physicians. Postgraduate Medicine. 2012;124(4):154-167.

    Not in our library10.3810/pgm.2012.07.2577

  103. 103.

    Poli A, Marangoni F, Avogaro A, et al. Moderate alcohol use and health: a consensus document. Nutrition, Metabolism and Cardiovascular Diseases. 2013;23(6):487-4504.

    Not in our library10.1016/j.numecd.2013.02.007

  104. 104.

    Huang D, Hunter Z, Francescutti LH. Alcohol, health, and injuries. The American Journal of Lifestyle Medicine. 2013;7(4):232-240.

    Not in our library

  105. 105.

    O'Keefe JH, Bybee KA, Lavie CJ. Alcohol and cardiovascular health. The razor-sharp double-edged sword. Journal of the American College of Cardiology. 2007;50(11):1009-1014.

    Not in our library10.1016/j.jacc.2007.04.089

  106. 106.

    Garibyan L, Fisher DE. How sunlight causes melanoma. Current Oncology Reports. 2010;12(5):319-326.

    Not in our library10.1007/s11912-010-0119-y

  107. 107.

    Tuong W, Cheng LS, Armstrong AW. Melanoma: epidemiology, diagnosis, treatment, and outcomes. Dermatologic Clinics. 2012;30(1):113-124.

    Not in our library10.1016/j.det.2011.08.006

  108. 108.

    Morganroth PA, Lim HW, Burnett CT. Ultra-violet radiation and the skin: an in-depth review. The American Journal of Lifestyle Medicine. 2013;7(3):168-181.

    Not in our library

  109. 109.

    Alexander RL. Skin cancer: causes and groups at risk. Nursing Times. 2012;108(30-31):23-25.

    Not in our library

  110. 110.

    Egger G, Molloy H. Skin Fitness. 2008.

    Not in our library

  111. 111.
  112. 112.

    Zittermann A, Koerfer R. Vitamin D in the prevention and treatment of coronary heart disease. Current Opinion in Clinical Nutrition and Metabolic Care. 2008;11(6):752-757.

    Not in our library10.1097/mco.0b013e328312c33f

  113. 113.

    Mezza T, Muscogiuri G, Sorice GP. Vitamin D deficiency: a new risk factor for type 2 diabetes? Annals of Nutrition and Metabolism. 2012;61(4):337-348.

    Not in our library10.1159/000342771

  114. 114.

    Anglin RE, Samaan Z, Walter SD, McDonald SD. Vitamin D deficiency and depression in adults: systematic review and meta-analysis. The British Journal of Psychiatry. 2013;202:100-107.

    Not in our library10.1192/bjp.bp.111.106666

  115. 115.

    Caruso TJ, Fuzaylov G. Severe vitamin D deficiency—rickets. The New England Journal of Medicine. 2013;369, article 9.

    Not in our library10.1056/nejmicm1205540

  116. 116.

    Oren DA, Koziorowski M, Desan PH. SAD and the not-so-single photoreceptors. The American Journal of Psychiatry. 2013;170(12):1403-1412.

    Not in our library10.1176/appi.ajp.2013.13010111

  117. 117.

    Umberson D, Crosnoe R, Reczek C. Social relationships and health behavior across the life course. Annual Review of Sociology. 2010;36:139-157.

    Not in our library10.1146/annurev-soc-070308-120011

  118. 118.

    Barth J, Schneider S, von Känel R. Lack of social support in the etiology and the prognosis of coronary heart disease: a systematic review and meta-analysis. Psychosomatic Medicine. 2010;72(3):229-238.

    Not in our library10.1097/psy.0b013e3181d01611

  119. 119.

    Stuller KA, Jarrett B, DeVries AC. Stress and social isolation increase vulnerability to stroke. Experimental Neurology. 2012;233(1):33-39.

    Not in our library10.1016/j.expneurol.2011.01.016

  120. 120.

    Pinquart M, Duberstein PR. Associations of social networks with cancer mortality: a meta-analysis. Critical Reviews in Oncology/Hematology. 2010;75(2):122-137.

    Not in our library10.1016/j.critrevonc.2009.06.003

  121. 121.
  122. 122.

    Uchino BN, Bowen K, Carlisle M, Birmingham W. Psychological pathways linking social support to health outcomes: a visit with the “ghosts” of research past, present, and future. Social Science and Medicine. 2012;74(7):949-957.

    Not in our library10.1016/j.socscimed.2011.11.023

  123. 123.

    Kiecolt-Glaser JK, Gouin J-P, Hantsoo L. Close relationships, inflammation, and health. Neuroscience and Biobehavioral Reviews. 2010;35(1):33-38.

    Not in our library10.1016/j.neubiorev.2009.09.003

  124. 124.

    Uchino BN, Bosch JA, Smith TW, et al. Relationships and cardiovascular risk: perceived spousal ambivalence in specific relationship contexts and its links to inflammation. Health Psychology. 2013.

    Not in our library10.1037/a0033515

  125. 125.

    Yang YC, McClintock MK, Kozloski M, Li T. Social isolation and adult mortality: the role of chronic inflammation and sex differences. Journal of Health and Social Behavior. 2013;54(2):183-203.

    Not in our library10.1177/0022146513485244

  126. 126.

    Lacey RE, Kumari M, McMunn A. Parental separation in childhood and adult inflammation: the importance of material and psychosocial pathways. Psychoneuroendocrinology. 2013.

    Not in our library10.1016/j.psyneuen.2013.05.007

  127. 127.

    Fagundes CP, Bennett JM, Derry HM, Kiecolt-Glaser JK. Relationships and inflammation across the lifespan: social developmental pathways to disease. Social and Personality Psychology Compass. 2011;5(11):891-903.

    Not in our library10.1111/j.1751-9004.2011.00392.x

  128. 128.

    Chiang JJ, Eisenberger NI, Seeman TE, Taylor SE. Negative and competitive social interactions are related to heightened proinflammatory cytokine activity. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(6):1878-1882.

    Not in our library10.1073/pnas.1120972109

  129. 129.

    Runsten S, Korkeila K, Koskenvuo M, Rautava P, Vainio O, Korkeila J. Can social support alleviate inflammation associated with childhood adversities? Nordic Journal of Psychiatry. 2013;68(2):137-144.

    Not in our library10.3109/08039488.2013.786133

  130. 130.
  131. 131.

    Clark C, Ridker P, Ommerborn M, et al. Cardiovascular inflammation in healthy women: multilevel associations with state-level prosperity, productivity and income inequality. BMC Public Health. 2012;12(1, article 211).

    Not in our library10.1186/1471-2458-12-211

  132. 132.

    Wilkinson RG, Pickett K. The Spirit Level. 2010.

    Not in our library

  133. 133.

    Petersen KL, Marsland AL, Flory E Votruba-Drzal J, Muldoon MF, Manuck SB. Community socioeconomic status is associated with circulating interleukin-6 and C-reactive protein. Psychosomatic Medicine. 2008;70(6):646-652.

    Not in our library10.1097/psy.0b013e31817b8ee4

  134. 134.

    Closing the gap in a generation: health equity through action on the social determinants of health. Final Report of the Commission on Social Determinants of Health. 2008.

    Not in our library10.1016/s0140-6736(08)61690-6

  135. 135.

    Gallo LC, Fortmann AL, de los Monteros KE, et al. Individual and neighborhood socioeconomic status and inflammation in Mexican American women: what is the role of obesity? Psychosomatic Medicine. 2012;74(5):535-542.

    Not in our library10.1097/psy.0b013e31824f5f6d

  136. 136.

    Ramsay S, Lowe GDO, Whincup PH, Rumley A, Morris RW, Wannamethee SG. Relationships of inflammatory and haemostatic markers with social class: results from a population-based study of older men. Atherosclerosis. 2008;197(2):654-661.

    Not in our library10.1016/j.atherosclerosis.2007.02.022

  137. 137.

    Stringhini S, Tabak AG, Akbaraly TN, et al. Contribution of modifiable risk factors to social inequalities in type 2 diabetes: prospective Whitehall II cohort study. British Medical Journal. 2012;345.

    Not in our library10.1136/bmj.e5452

  138. 138.

    Friedman EM, Herd P. Income, education, and inflammation: differential associations in a national probability sample (The MIDUS Study). Psychosomatic Medicine. 2010;72(3):290-300.

    Not in our library10.1097/psy.0b013e3181cfe4c2

  139. 139.

    Marmot MG, Shipley MJ, Hemingway H, Head J, Brunner EJ. Biological and behavioural explanations of social inequalities in coronary heart disease: the Whitehall II study. Diabetologia. 2008;51(11):1980-1988.

    Not in our library10.1007/s00125-008-1144-3

  140. 140.

    Flegal KM, Kalantar-Zadeh K. Perspective: mortality and survival. Obesity. 2013.

    Not in our library10.1002/oby.20588

  141. 141.

    Egger GJ, Dixon JB. Obesity and global warming: are they similar “canaries” in the same “mineshaft”? Medical Journal of Australia. 2010;193(11-12):635-637.

    Not in our library10.5694/j.1326-5377.2010.tb04089.x

  142. 142.

    Pagoto SL, Appelhans BM. A call to the end of the diet debate. The Journal of the American Medical Association. 2013;310:687-688.

    Not in our library

Cited by papers we hold 6

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.