Introduction
The obesity epidemic is affecting an estimated two of every three Americans and has become the most important nutritional problem on a global basis (1). Worldwide more people suffer from conditions related to overweight and obesity than from malnutrition and underweight (2). The increase in obesity in the United States began in the late 1970’s. In the three decades since, the increase in the number of severely obese has been substantial, and problem appears to be accelerating. Between 2000 and 2005 alone, the number of people with a BMI > 50 (equivalent to a 5’5” person weight 300 lbs) has increased by 75% (3). In this short period of 30 years, it does not appear that there has been any change within people-- no mutations, metabolic changes, or physiologic alterations. Given that there are no recognizable changes within individuals, sources outside of individuals need to be considered as causal factors for obesity. By definition, these sources must emanate from the environment. Indeed, the past 30 years have seen dramatic changes in the food and physical activity environments, both of which contribute to the changes in human behavior that could explain obesity. This paper will review documented changes in the food environment, changes in the physical activity environment, and the mechanisms through which people respond to these environments, often without conscious awareness or control.
Changes in the Food Environment
The most dramatic change in the food environment over the last 30 years has been the increased accessibility of foods and the decline in the relative price of food. The major accomplishment of the Green Revolution was to increase the productivity of cereals, rice, wheat, and maize, staples for much of the world. Improvements in both variety as well as cultivation techniques and fertilizers improved crop yields substantially. For example, before the Green Revolution the maximum yield potential of rice was 4 tons per hectare. After improving the variety and adding fertilizer the yield was increased to 10 tons per hectare. Second, the growth duration was also reduced from 150-180 days to 110 days, making it possible to plant two cycles of crops rather than just one in a year. Yield was also improved by developing varieties that were disease- resistant and could tolerate problems with soils, temperatures and insects. The increase in rice production has resulted in a decrease in cost, and, on average, people are paying 40% less (adjusted for inflation) for rice now than they did in the mid 1960’s. (4) The increasing yields of all staples have led to lower food prices overall in relation to income, and in the United States, in 2006, the average family spent only 9.9 % of their income on food compared to 14.8% 40 years ago. In addition, due to the relative decline in the cost of food, more people can afford the convenience of purchasing food away from home. In 1966 only 24% of all food expenses went toward food prepared away from home; in 2006 the percentage increased to 42% (5).
Along with the real decrease in food cost, in the 1980s per capita food availability increased by about 15% compared to 1970. Per capita carbohydrate availability increased by 27% while fat increased by only 3% per capita (6). Beyond the overall increase in food in the environment, its accessibility has dramatically changed. In a 10 year period, between 1986 and 1996 the number of commercial food establishments increased by 78%, with the number of fast food outlets increasing by 85% and the number of restaurants and lunchrooms increasing by 62%, although food stores decreased by 15% (7). The real accessibility of food is likely to be many times higher, as a large percentage retail outlets that do not sell food as their primary business, now have food available on their premises, either in vending machines, as “impulse buys” at the cash register, or as an add-on to their other merchandise. Chocolate, candies, chips and sodas are now sold in gas stations, hardware stores, book stores, car washes, office buildings, and clothing stores. Typically the types of food sold in these non-food establishments are highly processed, non-perishable items which tend to be high in sugar and fat and have very low nutrient value. Furthermore, there is no system that provides inspection or control, or keeps track of the scope of food availability.
Another dramatic change in the food environment has been the increase in portion sizes. Portions for beverages in 6 oz and 8 oz sizes are no longer sold in favor of 12 oz, 16 oz, 20 oz and larger sizes (6). The typical restaurant now serves portions that are 2-5 times in excess of what individuals typically require to stay in energy balance (8-10). Packaging sizes for goods have increased and big box stores are making foods available in larger quantities as well. Moreover, larger supermarkets and warehouse stores are being increasingly utilized. Just 20 years ago nearly 90 percent of food purchases were from traditional grocery stores. Today, grocery store purchases account for 69 percent of all at home food purchases and the difference has been allotted to nontraditional food stores like Costco, Target and WalMart (11).
The variety of food available in the marketplace has also increased, although the variety in nutrient composition has not necessarily been affected. The foods industry introduces in excess of 10,000 new products each year, most of which have only minor changes in flavoring and texture, but still contain the same sugar and fat ingredients (12).
Why we eat more than we need to
Even though the food environment has changed dramatically, it doesn’t directly explain why people may be consuming more foods. What is necessary to connect the changes in the built environment with changes in eating behaviors are mechanisms whereby the bounty of the built environment directly influences people’s responses to food. Evidence for such mechanisms has been identified in a variety of fields: neurophysiology, behavioral economics, social psychology and commercial marketing. What follows is brief review of the ways in which the environment influences our behaviors and results in over consumption, often without awareness or control.
People are being artificially stimulated to feel hungry
Neuroimaging studies of the brain have identified that the brain secrets dopamine in responses to a variety of stimuli, including food and images of food (13). Dopamine creates the sensation of desire and craving and motivation to act (14). The response of the brain to images of drugs among drugs addicts is exactly the same as the response to food, although the magnitude of dopamine secretion is lower (15). The brain’s response is automatic and is NOT mediated by consciousness. The reaction is largely uncontrollable. This suggests that the food and images of food in the environment stimulates the desire to eat, in addition to internal mechanisms like low blood sugar (16). Translated on a larger scale, the ubiquitous accessibility of food and the omnipresence of food advertising is artificially stimulating people to feel hungry and overconsume. Given the increasing food availability over time, this stimulation is increasing, potentially explaining continuing rises in obesity.
Behavior is often NOT the result of deliberate, consciously planned decision-making
Once stimulated to desire food, people can potentially interrupt the action to eat. If people are aware that the stimulus to eat is artificial, it is easier to interrupt. However, when people are unaware of the stimulus, it may not be possible to avoid acting on what they perceive to be a real need.
Unfortunately, it appears that people have little insight into how much the environment influences their behavior. Studies of unplanned buying in supermarkets have documented that 65% of all supermarket decisions were made in the store with over 50% being unplanned. Of the factors that lead to unplanned purchases include supermarket displays, 67% were due to retail displays and manufacturing factors—all beyond the control of the individual (17).
People’s eating behaviors and preferences can be influenced without their knowledge or control
Although people may not be aware of them, they perceive subliminal cues. Many experiments have been done in which image are flashed at duration too short for the conscious part of our brains to be aware of, yet the subjects so exposed react to the images, even though they report that they did not see them. One study using this technique flashed images of a person either frowning, with a neutral expression or smiling, which was then masked by another image, for which subjects were asked to identify the gender (18). Afterwards, subjects were asked to pour themselves an “energy” drink, sample it and rate it. The subjects who were exposed to the frowning face poured themselves the least and rated the drink the lowest, while those exposed to the smiling face poured and drank more, and rated the drink the highest. Subjects reported no noticeable differences in mood and arousal among the three groups. Thus, individuals were influenced to consume different amounts in a manner that was beyond their awareness or control. Although this experiment took place in a laboratory setting, the same kind of phenomena has been shown to occur in natural settings.
For example, a British study of the influence of restaurant background music on consumption behavior compared consumption patterns among diners on days when the background music played was classical, pop music versus no music at all (19). The music could not be considered a subliminal cue, because people can hear the music, although they may not realize how it influences them. Although the researchers did not measure the calories consumed, diners listening to classical music on average racked up higher bills, 32.5 Pounds Sterling (£) for classical music, 29.5 £ for pop music vs. 29.7£ among the group with no music. The group provided with classical music also spent significantly more on appetizers and coffee. The researchers hypothesized that music created an “upscale” atmosphere that primed the constructs of wealth and increased purchase intentions, pointing to greater spending on optional features of a meal, the appetizer and coffee. Again, it is unlikely that individuals would be aware that the background music would effect how much food they order and consume.
Much of Human Behavior Occurs Automatically without Conscious Direction (20)
Human beings are designed to be able to do several things at once. In order to walk, for example, we do not have to consciously direct our right foot to move in front of our left foot. We walk effortlessly and can direct our attention elsewhere while walking. Similarly, if we need to raise our foot a little higher to navigate over a raised curb or avoid a puddle in our path, we don’t have to stop to calculate a change in our trajectory or stepping pattern; typically, we will do this either without noticing or we may realize we have taken the appropriate action, usually AFTER we have already done it. One study observed children eating when they were served excessively large portion of food. The researcher noted that when their plates had more food, the children automatically opened their mouths wider to accommodate more. This action was completely unrecognized by the children (21). Libet was the first to conduct a study that clearly demonstrated that motor activity occurs PRIOR to conscious awareness of that activity (22). However, people often have the illusion that they consciously direct their behavior (23).
Mirror neurons have been identified as the mechanism through which people automatically respond to environmental stimuli, and mimic other individuals (24). Not only to do people unconsciously mimic many kinds of behavior, but they even adopt others’ preferences unknowingly (25). The behaviors are completely automatic; thus, they are also largely uncontrollable.
Research on decision making also shows that people lack insight into the processes that govern their decisions (26). When it comes to choosing and eating foods, many factors, including distractions (27), information overload (28), context (29), fatigue and stress (30), smells and ambience (31, 32) play a more important role than rational choice. Typically, evaluations and judgments are made instantaneously, and then subsequently people fabricate a reason for their behavior (33).
Behavioral economics and the important of framing
The work of Amos Tversky and Daniel Kahneman showed that people make choices depending upon how information is presented to them and the context (34). Their decisions are influenced by “framing and prospect theory” and three basic heuristics: representativeness, availability, and anchoring (35) As far as framing, people make different decisions, for example, based upon whether choices are presented as gains or losses, even when the choices result in exactly the same outcomes. The three heuristics that influence our choices are based upon how people evaluate their environments. People tend to make judgments that are frequently flawed or biased because they may inappropriately generalize from their prior experiences to what they see in front of them. The frequency of an event or perception of the event influences their judgments by creating an appearance of normality or acceptability. Judgments are often biased by an initial impression, which may prevent reassessments. Because people don’t have control over how information is presented to them or the context in which it is presented, the resulting actions cannot be considered to be independently chosen.
Why people can not easily resist an obesogenic environment
Obesity occurs to people in a way that is insidious and undetectable—people gradually put on weight, a few ounces at a time. An imbalance as low as 20 excess calories per day will cause the average person to gain about 2 pounds per year, or 10 pounds in 5 years. These small amounts are next to impossible for people to recognize or keep track of, especially when there are so many calories available all around us and so many strong cues that bid us to eat.
Improvements in Marketing and Advertising
In 1957 Vance Packard wrote the popular book, The Hidden Persuaders pointing out the influence on advertising techniques on consumer behavior. Since that time, not only has the sophistication of advertising has increased enormously, but the amount of dollars invested in marketing research and advertisements has increased geometrically. Eye tracking technology is an example of how marketers can use technology to increase product sales. Visual fixations represent interest in a visual area and provide information about automatic processing of behavior (36). The longer people look at a product the more likely they are to purchase it. Devices have been developed that track the retina and record where people look and how long they focus on any particular element in an image. Individuals cannot accurately report eye fixations themselves, but the technology can record it with great accuracy. Eye tracking technology allows measurement of both conscious and unconscious reactions to stimuli and choices presented to the respondent (37). With this information, marketers can constantly improve on designs and products that will automatically grab people’s attention.
Another technique that are found to be powerful in increasing consumer behaviors include branding, which is a type of conditioning that creates automatic association between desired qualities and characteristics and a specific product (38). Again, this is something that is difficult for individuals to recognize and resist at the moment when they are making choices.
Changes in the physical activity environment
While a great deal of the obesity epidemic can be ascribed to increases in caloric consumption caused by the increase in food cues, reductions in energy expenditure may also play a role. The history of the human race has been the struggle to develop labor saving devices and other shortcuts—anything that will make life easier for people. The total energy expenditure needed to survive has declined considerably over time. And the search for convenience continues at an inexorable pace.
However, it is very difficult to track population physical activity over time. The changes may be more subtle than can be detected by gross surveys. Jobs have been sedentary well before the obesity epidemic accelerated in the late 1970’s. Nevertheless, even though jobs were sedentary before, people are probably even more sedentary since the mid 1980s when personal computers became widely available and the 1990’s when internet communications were available. Now it is easier to send an email to colleague, than to walk 30 seconds down the hall to have a conversation. For a person weighting 70 kg, the amount of calories conserved from avoiding a 30-second walk seems negligible, about 1.75 calories. But if this is now avoided 6 times per day (back and forth 3 times), that’s a total of 10 calories no longer burned on daily basis, and could accumulate to an extra pound per year. Moreover, there are increasingly more gadgets sold to decrease everyday labor, including riding lawnmowers, leaf blowers, remote control devices for garages, doors, and televisions, automatic sprinklers, all of which may save a few calories of expenditure here and there. These differences cannot be easily measured, but cumulatively could make a significant overall difference in energy balance. These changes are also quite subtle and are likely below our awareness and control.
While there have been changes in the design of our communities and streets, these changes occurred well before the obesity epidemic accelerated in the late 1970s. It is likely that social factors and physical features of our microenvironments play a more important role than the gross features of urban design and land use in explaining changes in our daily energy expenditure. Studies that have tried to measure an association between PA, BMI and land use, typically can only find a modest association between PA and the environment and rarely, if at all, an association between PA and BMI (39-41).
Another problem with research on physical activity has been the reliance on self-report. According the CDC’s Behavioral Risk factor Surveillance System (BRFSS) in 2005, 49.1 % of US adults reported meet recommended physical activity guidelines of exercising 30 minutes per day, at least 5 days per week (42). In contrast, the National Health and Nutrition Examination Survey (NHANES) used accelerometers on 6,329 people to actually measure moderate-to-vigorous physical activity (MVPA) and showed that fewer than 5% of adults met the guidelines (43). Just as shown with respect to eating behaviors, it is likely that individuals have little insight into their own physical activity behaviors. The lack of insight is also likely due to the fact that our motor activities are generally automatic, don’t need conscious direction, so that while we are in motion, we are attending to other environmental cues, such as looking at the world around us, thinking about other problems, events, or engaged in other activities.
Conclusion
Eating behaviors as well as physical activity behaviors have previously been characterized as a matter of conscious choice that people make to satisfy their own desires and cravings or to achieve their own goals. This model assumes that people are rational players who make decisions in their best interests and are aware of everything they do. Yet in reality, many people do not want to eat more than they need to, because they do not want to be overweight or obese, but that are unable to control their intake in a sustained manner. Similarly, in the past, more people had to be active, (whether or not they wanted to), whereas now, labor-saving devices mean we do not have expend as many calories to complete daily routines and communications. Given that the majority of individuals are now overweight or obese, and that obesity exists across all subgroups, including among minority and majority populations, among low and high income, and among well educated and poorly educated groups, suggests that excess eating and reduced physical activity may not be a conscious choice, but is probably the result of automatic and largely uncontrollable responses to unappreciated environmental cues. It can be clearly shown that changes in food presentation, portion sizes, and other environmental factors precede and cause changes in food consumption. Similarly, changes in environmental cues, like signs that promote climbing the stairs (44-46) also result in increases in physical activity in a causal fashion. The existence of mechanisms that facilitate automatic and unconscious eating and responses to cues for physical activity are the critical link in the chain of causation between the environment and behavior.
A more accurate conceptualization of the obesity epidemic is that people are responding to the forces in their environment, rather than lacking in willpower and self-control. A metaphor that more truly captures the phenomenon is the tsunami. The environmental tsunami of cues and stimuli artificially make people hungry and lead them to unintentionally overconsume and to remain excessively sedentary. The societal response to the tsunami has been to provide swimming lessons and cheerleaders. The response has clearly not been proportional to the threat. People cannot change their responses to cues they do not perceive. Unless we focus on a more appropriate response, the obesity epidemic will continue. The real solution would be to control and reduce those forces that are causing the tsunami, change the cues we are exposed to on a daily basis to prevent drowning, or make explicit the cues we cannot change. Only then will people be able to make good use of the swimming lessons they receive, and bring themselves into energy balance according to their individual preferences.
References
- 1.Flegal KM, Carroll MD, Ogden CL, Johnson CL. Prevalence and trends in obesity among US adults, 1999-2000. Jama. 2002;288:1723–7. doi: 10.1001/jama.288.14.1723. [DOI] [PubMed] [Google Scholar]
- 2.WHO Global Strategy on Diet PAaH. Obesity and Overweight fact Sheet. 2008 http://www.who.int/dietphysicalactivity/media/en/gsfs_obesity.pdf.
- 3.Sturm R. Increases in morbid obesity in the USA: 2000-2005. Public Health. 2007;121:492–6. doi: 10.1016/j.puhe.2007.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Khush G. Productivity improvements in rice. Nutr Rev. 2003;61(6 Pt 2):S114–6. doi: 10.1301/nr.2003.jun.S114-S116. [DOI] [PubMed] [Google Scholar]
- 5.USDA-ERS. Food CPI, Prices and Expenditures: Food Expenditures by Families and Individuals as a Share of Disposable Personal Income. 2007 http://www.ers.usda.gov/Briefing/CPIFoodAndExpenditures/Data/table7.htm.
- 6.Jeffery RW, Utter J. The changing environment and population obesity in the United States. Obesity research. 2003;11(Suppl):12S–22S. doi: 10.1038/oby.2003.221. [DOI] [PubMed] [Google Scholar]
- 7.Price C. Trends in Eating Out. USDA ERS. 1997 http://www.ers.usda.gov/publications/foodreview/sep1997/sept97c.pdf.
- 8.Rolls BJ, Morris EL, Roe LS. Portion size of food affects energy intake in normal-weight and overweight men and women. Am J Clin Nutr. 2002;76:1207–13. doi: 10.1093/ajcn/76.6.1207. [DOI] [PubMed] [Google Scholar]
- 9.Nestle M. Increasing portion sizes in American diets: more calories, more obesity. Journal of the American Dietetic Association. 2003;103:39–40. doi: 10.1053/jada.2003.50007. [DOI] [PubMed] [Google Scholar]
- 10.Nielsen SJ, Popkin BM. Changes in beverage intake between 1977 and 2001. American journal of preventive medicine. 2004;27:205–10. doi: 10.1016/j.amepre.2004.05.005. [DOI] [PubMed] [Google Scholar]
- 11.Leibtag E. Where You Shop Matters: Store Formats Drive Variation in Retail Food Prices. Amber Waves. 2005 http://www.ers.usda.gov/AmberWaves/November05/Features/WhereYouShop.htm.
- 12.Gallo A. Fewer Food Products Introduced in Last 3 Years. 1999 http://www.ers.usda.gov/publications/foodreview/sep1999/frsept99f.pdf.
- 13.Volkow ND, Wang GJ, Maynard L, et al. Brain dopamine is associated with eating behaviors in humans. Int J Eat Disord. 2003;33:136–42. doi: 10.1002/eat.10118. [DOI] [PubMed] [Google Scholar]
- 14.Volkow ND. This is your brain on food. Interview by Kristin Leutwyler-Ozelli. Sci Am. 2007;297:84–5. [PubMed] [Google Scholar]
- 15.Volkow ND, Wise RA. How can drug addiction help us understand obesity? Nat Neurosci. 2005;8:555–60. doi: 10.1038/nn1452. [DOI] [PubMed] [Google Scholar]
- 16.Laibson D. A Cue-Theory of Consumption. Quarterly Journal of Economics. 2001;116:81–119. [Google Scholar]
- 17.Abratt R, SD G. Unplanned buying and in-store stimuli in supermarkets. Managerial and Decision Economics. 1990;11:111–121. [Google Scholar]
- 18.Berridge KC, Winkielman P. What is an unconscious emotion? (The case for unconscious “liking”) Cognition and emotion. 2003;17:181–211. doi: 10.1080/02699930302289. [DOI] [PubMed] [Google Scholar]
- 19.North AC, Shilcock A, Hargreaves DJ. The effect of musical style on restaurant customers’ spending. Environment and Behavior. 2003;35:712–718. [Google Scholar]
- 20.Bargh J, Chartrand T. The unbearable automaticity of being. American Psychologist. 1999;54:462–479. [Google Scholar]
- 21.Orlet Fisher J, Rolls BJ, Birch LL. Children’s bite size and intake of an entree are greater with large portions than with age-appropriate or self-selected portions. Am J Clin Nutr. 2003;77:1164–70. doi: 10.1093/ajcn/77.5.1164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Libet B, Pearl DK, Morledge DE, Gleason CA, Hosobuchi Y, Barbaro NM. Control of the transition from sensory detection to sensory awareness in man by the duration of a thalamic stimulus. The cerebral ‘time-on’ factor. Brain. 1991;114:1731–57. doi: 10.1093/brain/114.4.1731. [DOI] [PubMed] [Google Scholar]
- 23.Wegner DM, Wheatley T. Apparent Mental Causation Sources of the Experience of Will. American Psychologist. 1999;54:480–492. doi: 10.1037//0003-066x.54.7.480. [DOI] [PubMed] [Google Scholar]
- 24.Rizzolatti G. The mirror neuron system and its function in humans. Anat Embryol. 2005;210:419–21. doi: 10.1007/s00429-005-0039-z. [DOI] [PubMed] [Google Scholar]
- 25.Chartrand T. The Role of Conscious Awareness in Consumer Behavior. Journal of Consumer Psychology. 2005;15:203–210. [Google Scholar]
- 26.Wilson T, Nisbett R. The accuracy of verbal reports about the effects of stimuli on evaluations and behavior. Social Psychology. 1978;41:118–131. [Google Scholar]
- 27.Shiv B, Nowlis S. The Effect of Distractions While Tasting a Food Sample: The Interplay of Informational and Affective Components in Subsequent Choice. Journal of Consumer Research. 2004;31:599–608. [Google Scholar]
- 28.Shiv B, Britton J, Payne J. Does elaboration increase or decrease the effectiveness of negatively versus positively framed messages? Journal of Consumer Research. 2004;31:199–208. [Google Scholar]
- 29.Shiv B, Fedorikhin A. Heart and mind in conflict: The interplay of affect and cognition in consumer decision making. Journal of Consumer Research. 1999;26:278–292. [Google Scholar]
- 30.Baumeister RF, Bratslavsky E, Muraven M, Tice DM. Ego depletion: is the active self a limited resource? Journal of personality and social psychology. 1998;74:1252–65. doi: 10.1037//0022-3514.74.5.1252. [DOI] [PubMed] [Google Scholar]
- 31.North A, Hargreaves D. The effect of music on atmosphere and purchase intentions in a cafeteria. Journal of Applied Social Psychology. 1998;28:2254–2273. [Google Scholar]
- 32.North AC, Hargreaves DJ, McKendrick J. The influence of in-store music on wine selections. Journal of Applied Psychology. 1999;84:271–276. [Google Scholar]
- 33.Bargh JA, Ferguson MJ. Beyond behaviorism: on the automaticity of higher mental processes. Psychological bulletin. 2000;126:925–45. doi: 10.1037/0033-2909.126.6.925. [DOI] [PubMed] [Google Scholar]
- 34.Kahneman D. A perspective on judgment and choice: mapping bounded rationality. Am Psychol. 2003;58:697–720. doi: 10.1037/0003-066X.58.9.697. [DOI] [PubMed] [Google Scholar]
- 35.Laibson D, Zeckhauser R. Amos Tversky and the Ascent of Behavioral Economics. Journal of Risk and Uncertainty. 1998;16:7–47. [Google Scholar]
- 36.Alexander GM. Associations among gender-linked toy preferences, spatial ability, and digit ratio: evidence from eye-tracking analysis. Arch Sex Behav. 2006;35:699–709. doi: 10.1007/s10508-006-9038-2. [DOI] [PubMed] [Google Scholar]
- 37.Pieters R, Wedel M. Attention Capture and Transfer in Advertising: Brand, Pictorial, and Text-Size Effects. Journal of Marketing. 2004;68:36–50. [Google Scholar]
- 38.Pieters R, Warlop L, Wedel M. Breaking through the clutter: Benefits of advertisement originality and familiarity for brand attention and memory. Management Science. 2002;48:765–781. [Google Scholar]
- 39.Frank LD, Andresen MA, Schmid TL. Obesity relationships with community design, physical activity, and time spent in cars. American journal of preventive medicine. 2004;27:87–96. doi: 10.1016/j.amepre.2004.04.011. [DOI] [PubMed] [Google Scholar]
- 40.Frank LD, Schmid TL, Sallis JF, Chapman J, Saelens BE. Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. Am J Prev Med. 2005;28(2 Suppl 2):117–25. doi: 10.1016/j.amepre.2004.11.001. [DOI] [PubMed] [Google Scholar]
- 41.Cohen D, Ashwood J, Scott M, et al. Public Parks and Physical Activity Among Adolescent Girls. Pediatrics Electronic Pages. 2006:118. doi: 10.1542/peds.2006-1226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.CDC. BRFSS. 2005 http://apps.nccd.cdc.gov/brfss/list.asp?cat=PA&yr=2005&qkey=4418&state=All.
- 43.Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–8. doi: 10.1249/mss.0b013e31815a51b3. [DOI] [PubMed] [Google Scholar]
- 44.Andersen RE, Franckowiak SC, Snyder J, Bartlett SJ, Fontaine KR. Can Inexpensive Signs Encourage the Use of Stairs? Results from a Community Intervention. Ann Intern Med. 1998;129:363–369. doi: 10.7326/0003-4819-129-5-199809010-00003. [DOI] [PubMed] [Google Scholar]
- 45.Blamey A, Mutrie N, Aitchison T. Health promotion by encouraged use of stairs. BMJ. 1995;311:289–290. doi: 10.1136/bmj.311.7000.289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Russell WD, Dzewaltowski DA, Ryan GJ. The effectiveness of a point-of-decision prompt in deterring sedentary behavior. Am J Health Promot. 1999;13:257–9. ii. doi: 10.4278/0890-1171-13.5.257. [DOI] [PubMed] [Google Scholar]
