Skip to main content
Erschienen in: BMC Public Health 1/2010

Open Access 01.12.2010 | Research article

The publics' understanding of daily caloric recommendations and their perceptions of calorie posting in chain restaurants

verfasst von: Sara N Bleich, Keshia M Pollack

Erschienen in: BMC Public Health | Ausgabe 1/2010

Abstract

Background

Calorie posting in chain restaurants has received increasing attention as a policy lever to reduce energy intake. Little research has assessed consumer understanding of overall daily energy requirements or perceived effectiveness of calorie posting.

Methods

A phone survey was conducted from May 1 through 17, 2009 with 663 randomly selected, nationally-representative adults aged 18 and older, including an oversample of Blacks and Hispanics in the United States. To examine differences in responses by race and ethnicity (White, Black, and Hispanic) and gender, we compared responses by conducting chi-squared tests for differences in proportions.

Results

We found that most Americans were knowledgeable about energy requirements for moderately active men (78%) and women (69%), but underestimated energy requirements for inactive adults (60%). Whites had significantly higher caloric literacy and confidence about their caloric knowledge than Blacks and Hispanics (p < 0.05). As compared to their counterparts, Blacks, Hispanics and women reported a significantly higher likelihood of eating at a chain restaurant and of selecting lower calorie foods where caloric information was posted. Most Americans favored the government requiring chain restaurants to post calorie information on menus at the point of purchase (68%). Support for government mandated calorie posting in chain restaurants was significantly higher among Blacks, Hispanics and women as compared to their counterparts. The public was divided about the mode of caloric information that would best help them make a lower calorie decision; a third favored number of calories (35%) which is the current standard mode of presenting caloric information in chain restaurants, a third favored a physical activity equivalent (26%), and a third favored percentage of total energy intake (39%).

Conclusion

Mandating calorie posting in chain restaurants may be a useful policy tool for promoting energy balance, particularly among Blacks, Hispanics and women who have higher obesity risk.
Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SNB and KMP conceived the study and developed the hypotheses. SNB analyzed the data. All authors contributed to the interpretation of study findings. SNB drafted the manuscript and all authors contributed to the final draft. All authors read and approved the final manuscript. SNB is the guarantor.

Background

As experts increasingly point to the environment as the primarily driver of obesity [13], calorie posting on menus or menu boards at restaurants (hereafter referred to as "calorie posting"), alongside price, has received growing attention as a potential policy lever to reduce energy intake and promote energy balance (equilibrium between energy intake and energy expenditure). To date, calorie posting legislation has passed in two cities (New York City, Seattle) and one state (California) and is currently under consideration in more than 20 states, cities and counties in the United States [4]. In the United Kingdom, the Food Standards Agency has asked fast food restaurants to voluntarily post calories on menus [5]. Theoretically, calorie posting should have a larger impact on individuals with greater caloric literacy (defined as an understanding of federal energy intake guidelines) given that perceived risk is a critical precursor to behavior change [6].
Shifts in consumption patterns and poor nutritional literacy give strong justification for calorie posting, particularly in chain restaurants which account for approximately half of all restaurant visits [7]. Over the past three decades, Americans have greatly increased the percent of their food dollars spent on food away from home; from roughly a third in 1970 to a half in 2001 [8]. Foods eaten away from home, especially fast food, are more energy dense and have a higher percentage of fat and sugar [9]. In addition, foods with a higher energy density are associated with excess energy consumption [10].
A key challenge to limiting energy intake is the publics' significant underestimation of the amount of calories in the foods they consume [11, 12]. A recent study that asked participants to estimate the caloric content of nine restaurant entrées found that 90% underestimated the calorie content of less-healthy items by an average of more than 600 kcal [12]. In the same study, when calorie information was provided on food items, consumers chose high calorie items roughly a third less often. Since most surveys evaluating nutrition literacy primarily focus on nutrient composition (e.g., percent fat, percent fiber) rather than overall energy needs (e.g., "caloric count"), they are of limited usefulness for informing current efforts around calorie posting.
To our knowledge, little research has assessed consumer understanding of overall daily energy requirements or perceived effectiveness of calorie posting [13]. This study - which is the first to use nationally-representative public opinion data to address this research question - will fill this gap in the knowledge base. We hypothesized that the publics' caloric literacy (e.g., understanding of federal daily caloric recommendations) will be poor, and that Americans will strongly support calorie posting initiatives. In addition to looking at overall knowledge patterns and views about calorie posting, we additionally stratified our results by race/ethnicity and gender given the disproportionate impact of obesity on minorities and women [14]. Findings from this study may be useful for policy makers looking to pass calorie posting legislation and for researchers interested in exploring the impact of such initiatives.

Methods

Data

The survey was designed by the Johns Hopkins Bloomberg School of Public Health and conducted from May 1, 2009 through May 17, 2009. The study sample included 663 adults aged 18 and older in the United States, including an oversample of Blacks and Hispanics. All together, 119 Blacks and 103 Hispanics were interviewed. We performed a power analysis under the assumption that we would have 100 Blacks, 100 Hispanic and 250 White participants and an effect size of 0.12. Survey respondents were selected from households across the country using a fully replicated, stratified, single stage, random-digit-dialing sampling strategy. Within each sample household, a single respondent was randomly selected. The data were weighted to account for the disproportionate probability of household selection attributable to multiple telephone lines and the probability associated with the random selection of an individual household member. In addition, the data were weighted by age, sex, race/ethnicity, education, and census division to ensure nationally representative findings. The sample error for 683 respondents was ± 4 percentage points. Interviews were administered by International Communications Research (ICR) and lasted approximately 7 to 10 minutes in duration. Given that we do not have a response rate for this survey, the accuracy of the data is determined by the representativeness of the sample. This was ensured by re-weighting, and analyses have shown that the results of statistical re-weighting of the data are similar to those of an analysis based on the higher response rate in opinion surveys of long duration [1519].
This study was approved by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board.

Survey Questions

To determine the accuracy of consumer knowledge of daily energy requirements, we used the current U.S. federal dietary guidelines which are calculated based on an individual's gender, age and physical activity level [20]. For simplicity, we aggregated the recommendations and asked respondents their perceptions of caloric recommendations for moderately active men, moderately active women and inactive adults. Respondents were asked, "Now, thinking about [moderately active men/moderately women/inactive adults], what is the recommended daily number of calories - less than 1500 calories, 1500 to less than 3000 calories, 3000 to less than 4500 calories, or 4500 calories or more?" For each question, we defined the level of activity (e.g., moderately active or inactive) at the end of the question (e.g., "Moderate physical activity included exercises such as brisk walking, bicycling or gardening for about 30 minutes each day.") We created the response categories such that the correct answer for each question about recommended energy requirements was the same (e.g., 1500 to less than 3000 calories). The caloric knowledge questions were developed with consultation from the Harvard Opinion Research Program.
In the survey instrument, we included both open-ended and close-ended questions regarding caloric knowledge. We purposely asked the open-ended question first so as not to prime the respondent with the response categories for the closed-ended questions. The results reported in this manuscript include only the responses to the close-ended caloric knowledge questions. For those questions, there we no missing values and the percentage of respondents who answered ''don't know'' or ''refused'' was less than ten percent for each question. So, we treat those responses as missing at random as they would have minimal contribution to any selection bias.
We additionally asked a series of questions to assess perceptions of caloric labeling in chain restaurants on menu boards alongside price. The questions specifically asked respondent's their beliefs about perceived usefulness of calorie posting, personal knowledge of energy requirements, how calorie posting would impact their behavior in a chain restaurant, preferred type of calorie posting, calorie posting legislation and government responsibility for calorie posting (see Appendix for exact wording of survey questions). In each question which mentioned chain restaurants, we gave respondents' the examples of McDonalds and Subway. To assess respondents' preferred type of calorie posting, they were asked about three different possibilities: 1) number of calories (which is the dominant way chain restaurants display caloric information); 2) number of calories translated into a physical activity equivalent such as eating a hamburger would require 80 minutes of brisk walking to burn off the calories and 3) number of calories translated into a percentage of total daily intake such as eating a hamburger is equal to 10 percent of total daily calories.
Self-reported height and body weight were used to calculate body mass index (BMI) categories. Healthy weight was defined as BMI from 18.5 to 24.9, overweight was defined as BMI from 25 to 29.9, and obese was defined as BMI ≥ 30 [21].

Statistical Analysis

To examine differences by race and ethnicity (White, Black, and Hispanic) and gender, we compared responses by conducting chi-squared tests for differences in proportions. We considered p < 0.05 to be statistically significant. For all analyses, we accounted for the study design and weighted the data to be representative of the general population. Analyses were performed using the STATA, version 9.2 software package (StataCorp LP, College Station, TX).

Results

Characteristics of the study sample

Table 1 reports the characteristics of the study sample. Approximately half of respondents (49%) were female, under 45 years of age (46%), married or living with a partner (57%), employed full-time (45%), or had more than a high school degree (55%). Roughly two-thirds of the study sample was White (68%). One third of the sample (33%) reported being overweight, and one quarter (24%) reported being obese. The prevalence of overweight and obesity was similar to national estimates [22]. Two-thirds of the study sample reported visiting fast food restaurants at least once weekly (70%).
Table 1
Characteristics of the study sample
 
%
N
Missing (%)
Gender
   
   Female
49
347
0.0
   Male
51
316
 
Race
   
   White
68
414
7.6
   Black
11
119
 
   Hispanic
13
103
 
Age, y
   
   18-44
46
193
0.0
   45-64
38
278
 
   65+
16
192
 
Marital status
   
   Married/living with partner
60
400
0.3
   Single, never married
19
91
 
   Separated/divorced
13
97
 
   Widowed
8
73
 
Employment status
   
   Employed full-time
45
283
0.0
   Employed part-time
14
81
 
   Retired
17
180
 
   Other (e.g., homemaker, student)
24
119
 
Household income
   
   Less than $30,000
34
206
0.0
   $30,000 to less than $75,000
32
214
 
   More than $75,000
33
243
 
Education
   
   Less than high school
14
49
0.0
   High school diploma
31
205
 
   More than high school
55
408
 
BMI category
   
   Healthy weight
38
241
5.6
   Overweight
33
236
 
   Obese
24
153
 
Weekly visits to fast food restaurants
   
   None
29
234
0.5
   1-2
51
314
 
   3-4
13
74
 
   5+
6
36
 
Notes: Numbers may not add up to 100% because of rounding. Data are weighted to be representative of the national population. The BMI categories are defined as follows: healthy weight (BMI, 18.5 to 24.9 kg/m2), overweight (BMI, 25.0 to 29.9 kg/m2), and obese (BMI, ≥ 30 kg/m2). Sample sizes vary across categories because of missing data.

American reports of daily recommended energy requirements

Public perceptions of daily energy requirements are presented in Table 2. For each category (moderately active men, moderately active women, inactive adults), the response category consistent with current federal dietary guidelines is 1500 to less than 3000 calories [20]. Most Americans correctly identified the recommended energy requirements for moderately active men (78%) and moderately active women (69%), but only a third correctly identified the energy requirements for inactive adults (35%). Reports of daily recommended energy requirements for moderately active men, moderately active women and inactive adults differed significantly by race/ethnicity and age (p < 0.05). Reports of daily recommended energy requirements for inactive adults differed significantly by gender. We observed no differences in caloric knowledge by BMI category or educational attainment.
Table 2
American reports of daily recommended energy requirements
 
Knowledge of energy requirements
 
Moderately active men
Moderately active women
Inactive adults
 
< 1500 kcal
1500 to < 3000 kcal
> 3000 kcal
< 1500 kcal
1500 to < 3000 kcal
> 3000 kcal
< 1500 kcal
1500 to < 3000 kcal
> 3000 kcal
Total
8
78
14
26
69
5
60
35
5
Gender
         
   Female
6
79
15
31
65
4
73
25
2
   Male
10
76
14
20
74
5
48
44
8
   P-value
0.276
  
0.082
  
<0.001
  
Race
7
83
10
23
74
3
64
34
2
   White
7
83
10
23
74
3
64
34
2
   Black
14
65
21
43
49
7
59
28
13
   Hispanic
14
60
26
30
64
6
55
35
10
   P-value
0.001
  
0.012
  
<0.001
  
Age, y
         
   18-44
5
74
21
19
73
8
52
41
7
   45-64
9
81
9
28
70
2
65
31
4
   65+
13
79
8
39
58
3
73
26
2
   P-value
<0.001
  
<0.001
  
0.010
  
Education
8
74
18
36
57
7
52
44
4
   Less than high school
8
74
18
36
57
7
52
44
4
   High school diploma
12
69
19
31
66
3
63
29
8
   More than high school
6
83
11
20
74
5
60
36
4
   P-value
0.084
  
0.156
  
0.379
  
BMI category
         
   Healthy weight
7
82
11
25
70
5
59
34
7
   Overweight
11
75
14
25
70
5
59
36
5
   Obese
7
74
19
27
69
4
60
38
3
   P-value
0.295
  
0.984
  
0.586
  
Notes: Numbers may not add up to 100% because of rounding. Data are weighted to be representative of the national population. P-values for chi-squared tests were calculated among demographic and bodyweight categories. Sample sizes vary across categories because of missing data.

The public's self-perceived caloric knowledge and perceived usefulness of calorie posting in chain restaurants

Table 3 presents public views on self-perceived caloric knowledge and perceived usefulness of calorie posting in chain restaurants. Half of Americans reported knowing enough about daily energy requirements to make lower calorie choices (56%), most reported that being told the calorie count of foods at the point of purchase in a chain restaurant would be very or somewhat useful (76%), and about half reported that they would be more likely to eat at a chain restaurant which reported caloric information on the menus alongside the price of each food item (51%). Whites, older adults and individuals with more than a high school education reported being more confident about their caloric knowledge than their counterparts. Women and middle age individuals reported being more likely than their counterparts to perceive calorie posting as useful. Women, Blacks and Hispanics reported a higher likelihood than their counterparts of eating at a chain restaurant with caloric information on the menu.
Table 3
The public's self-perceived caloric knowledge and views on usefulness of calorie posting in chain restaurants
 
Know enough about energy requirements to make lower calorie choices
Usefulness of calorie count to food choice at the point of purchase in chain restaurants
Likelihood of eating at chain restaurants with calorie information on the menu
 
Yes
No
Very useful
Somewhat useful
Not very useful
Not at all useful
More likely
Less likely
Neither
Total
56
44
44
32
6
18
51
20
29
Gender
         
   Female
62
38
52
32
6
11
57
19
23
   Male
51
49
36
32
6
26
45
21
34
   P-value
0.026
 
0.001
   
0.028
  
Race
63
37
42
35
6
17
46
20
33
   White
63
37
42
35
6
17
46
20
33
   Black
38
62
49
26
4
21
56
29
15
   Hispanic
40
60
53
21
5
21
61
17
22
   P-value
< 0.001
 
0.200
   
0.010
  
Age, y
49
51
38
37
4
20
52
22
26
   18-44
49
51
38
37
4
20
52
22
26
   45-64
63
37
50
29
6
15
52
19
30
   65+
61
39
46
24
10
20
46
19
35
   P-value
0.010
 
0.031
   
0.502
  
Education
39
61
47
25
2
26
48
27
25
   Less than high school
39
61
47
25
2
26
48
27
25
   High school diploma
44
56
39
36
7
19
53
19
29
   More than high school
68
32
46
31
6
17
51
19
30
   P-value
< 0.001
 
0.421
   
0.781
  
BMI category
58
42
43
30
6
21
58
19
23
   Healthy weight
58
42
43
30
6
21
58
19
23
   Overweight
53
47
40
37
6
17
42
25
33
   Obese
57
43
51
27
4
18
52
17
32
   P-value
0.704
 
0.559
   
0.060
  
Notes: Numbers may not add up to 100% because of rounding. Data are weighted to be representative of the national population. P-values for chi-squared tests were calculated among demographic and bodyweight categories. Sample sizes vary across categories because of missing data.

American perceptions of calorie posting in chain restaurants

Table 4 presents American views on calorie posting in chain restaurants. Roughly two-thirds of Americans reported that calorie posting would encourage them to select a lower caloric food (60%) while a third reported that it would not influence their purchase at all (38%). Less than half reported they would feel guilty if calories were posted on the menu and they picked a higher calorie food (40%). When asked whether they would pay more attention to price or calories in a chain restaurant with calories posted on the menu alongside the price, Americans reported being pretty evenly divided between paying attention to price (44%) and paying attention to calories (47%).
Table 4
American perceptions of posting caloric information in chain restaurants
 
Calorie posting in the menu board next to the price would encourage you to...
Feel guilty for picking a higher calorie food if calories were posted
In a chain restaurant with calories posted on the menu alongside price, more likely to pay attention to...
 
Select a higher calorie food
Select a lower calorie food
Not influence purchase
Yes
No
Price
Calories
Both Equally
Total
2
60
38
40
60
44
47
9
Gender
        
   Female
0
72
27
49
51
35
58
7
   Male
4
48
48
32
68
53
38
10
   P-value
< 0.001
  
0.001
 
< 0.001
  
Race
        
   White
1
59
40
38
62
45
46
9
   Black
5
62
33
40
60
36
53
10
   Hispanic
1
63
36
43
57
47
51
3
   P-value
0.027
  
0.735
 
0.250
  
Age, y
        
   18-44
4
54
42
43
57
48
45
6
   45-64
0
65
35
37
63
41
49
10
   65+
1
63
35
39
61
39
49
12
   P-value
0.026
  
0.335
 
0.359
  
Education
        
   Less than high school
4
27
69
25
75
60
36
5
   High school diploma
1
66
33
45
55
49
44
8
   More than high school
3
65
33
42
58
38
52
10
   P-value
< 0.001
  
0.044
 
0.089
  
BMI category
        
   Healthy weight
3
57
40
38
62
43
48
9
   Overweight
3
59
38
43
57
43
51
6
   Obese
1
60
40
38
62
47
42
11
 
0.832
  
0.630
 
0.573
  
Notes: Numbers may not add up to 100% because of rounding. Data are weighted to be representative of the national population. P-values for chi-squared tests were calculated among demographic and bodyweight categories. Sample sizes vary across categories because of missing data.
American perceptions of calorie posting differed significantly by sociodemographic characteristics. Women (as compared to men), Black and Hispanics (as compared to Whites), older adults (as compared to adults aged 45 and below), and more educated adults (as compared to those with less than a high school education) were significantly more likely to report that calorie posting would encourage them to select a lower calorie food. Women and more educated individuals, as compared to their counterparts, were significantly more likely to report feeling guilty for selecting a higher calorie food if calories were posted on the menu. Women were also significantly more likely than men to report paying attention to calories if they were posted on the menu alongside price.

Public preferences for the type of calorie posting and views on calorie posting policies

The public was evenly divided about the mode of caloric information that would best help them make a lower calorie decision in a chain restaurant; a third favored number of calories (35%) which is the current standard mode of presenting caloric information in chain restaurants, a third favored a physical activity equivalent (26%), and a third favored percentage of total daily energy intake (39%). Most Americans favored the government requiring chain restaurants to post calorie information on menus at the point of purchase (68%). Support for government mandated calorie posting in chain restaurants was significantly higher among Blacks, Hispanics and women as compared to their counterparts. A majority of Americans believed that either the federal (29%) or the state/local government (48%) should bear the responsibility for requiring chain restaurants to post caloric information.

Discussion

The central aims of this study were to assess the public's knowledge of daily energy requirements and their beliefs about the perceived usefulness of caloric information on chain restaurant menu boards - overall and among subgroups at higher obesity risk. This is the first national poll to assess public beliefs about calorie posting initiatives which require some chain restaurants to post caloric information on menus or menu boards alongside price.
Overall, we found that most Americans were knowledgeable about energy requirements for moderately active men and women, but tended to underestimate energy requirements for inactive adults. Only about half of the public perceived themselves as sufficiently knowledgeable to make lower calorie choices in chain restaurants. Americans expressed a positive attitude towards calorie posting in chain restaurants; a majority viewed it as very or somewhat useful, reported being more likely to eat in a chain restaurant with calories posted in the menu and reported being more likely to select a low calorie food where calories were posted. Given that price, convenience and taste [23, 24] are the major motivators for food purchasing decisions, our finding that Americans were evenly divided between purchasing an item based on calories or price is very encouraging for calorie posting initiatives.
Our findings also suggest that calorie posting initiatives may be more salient among certain sociodemographic groups. Blacks, Hispanics and women, who are disproportionately impacted by obesity [14], were more likely than their counterparts to perceive calorie posting as very useful, to report they would eat in a chain restaurant with calorie posting and to report that caloric posting would encourage their selection of a lower calorie food. Therefore, mandatory calorie posting initiatives may be more salient among women and racial/ethnic groups.
These results further suggest that the best mode for communicating caloric information in chain restaurants may not be calorie count (e.g., a hamburger is equal to 300 kcal) - the dominant mode of communicating caloric information in chain restaurants to date. Rather the public is pretty evenly divided between three possible presentation formats: number of calories, physical activity equivalent, or percentage of total daily energy intake. Our finding that most Americans favor a mode of communication other than a calorie count is consistent with prior research suggesting that interpretational aids help consumers with nutritional labels [25]. It also may partially explain mixed findings on the impact of calorie labeling on purchasing behavior in New York City; some studies show an impact [26] whole others show none [27].
This study makes three important contributions to the evidence base. To our knowledge, this is the first study to assess consumer understanding of overall daily energy requirements and perceived effectiveness of calorie posting in a nationally representative study sample. Previous research has focused on sub-populations and small geographic areas [13]. Second, it identifies groups at higher risk for obesity who are most likely to be positively affected by calorie posting initiatives. Third, the results from this study may inform the recent legislative interest in mandating calorie posting in chain restaurants in the United States and other developed countries.
There are limitations to this analysis which deserve discussion. First, this cross sectional analysis only allows us to address associations. Second, we asked our respondents to think abstractly about how they might use caloric labeling at the point of purchase. Given that individuals are inclined to have an optimism bias - tendency to be overly positive about the outcome of their planned actions [28] - our results may be somewhat inflated. Third, that the public appeared to have a good understanding of the recommended federal energy requirements for moderately active adults but did not perceive themselves as sufficiently knowledgeable to make lower calorie choice, may be more related to the plethora of dietary guidelines based on the 2,000 kcal diet and less a reflection of true caloric knowledge. Fourth, because the range of calories in the correct response category for the caloric knowledge question was broad, our finding of relatively high caloric knowledge may be biased upwards. Fifth, given that the correct answer to the caloric literacy questions was the same for all groups (e.g., moderately active men, moderately active women and inactive adults), some respondents may have assumed the answer should change across groups. This would bias our results downwards and may partially explain our finding of low caloric literacy about inactive adults. Sixth, we relied on self-reported height and body weight to calculate body mass index which may lead to an underestimation of the obese population [29]. However, research suggests that the self-reported height and body weight bias do not differ by race/ethnicity[30] Seventh, random digit dialing, which was used to capture the study population, omits individuals who rely sole on cell phones or individuals who cannot afford a land line in their home. Finally, that McDonalds and Subway were provided as examples of chain restaurants in the survey questions may have affected respondent views on calorie posting. The direction of the bias would have depended on their perceptions of those chain restaurants.
Despite these limitations, this study has several strengths. It is consistent with state and local efforts in the United States to mandate calorie posting in chain restaurants as well as with the current federal priorities to reduce the prevalence adult obesity [3133]. Second, it is very timely. Given wide-spread recognition among experts that the obesity epidemic is largely driven by environmental changes [13], there is considerable interest in designing effective societal-level interventions which reduce energy. Third, a better understanding of public perceptions about calorie posting may encourage policy makers to adopt this policy tool which is likely low cost, particularly for large food outlets with standard menus. In turn, the likely "calorie shock" about the high number of calories in food options, which has been reported in the mass media, may encourage restaurant chains to highlight lower calorie options and/or introduce healthier options. Some restaurants may also begin voluntarily providing caloric information. For example, YUM! Brands (owners of Pizza Hut and KFC) have announced plans to begin providing caloric information in their 20,000 outlets nationwide by 2011, regardless of legislative requirements.
The results from this study suggest the need for more research in two key areas. First, that a majority of Americans miscalculate the energy requirements of inactive adults (which characterizes most Americans [34]) suggests a poor understanding of energy balance. Second, more research is needed to understand whether the most effective mode for presenting consumers with calorie information and whether it varies by sociodemographic characteristics.

Conclusion

To conclude, mandating calorie posting in chain restaurants may be a useful policy tool for promoting energy balance, particularly among Blacks, Hispanics and women who are at higher risk for obesity [14]. Improved knowledge about how to maximize the effectiveness of calorie posting in chain restaurants may encourage policy makers to adopt this relatively low cost policy tool.

Appendix: Question Wording

Caloric literacy
1.
Now, thinking about moderately active men, what is the recommended daily number of calories - less than 1500 calories, 1500 to less than 3000 calories, 3000 to less than 4500 calories, or 4500 calories or more? Moderate physical activity includes exercises such as brisk walking, bicycling or gardening for about 30 minutes each day.
 
1 Less than 1500 calories
2 1500 to less than 3000 calories
3 3000 to less than 4500 calories
4 4500 calories or more
2.
Now, thinking about moderately active women, what is the recommended daily number of calories - less than 1500 calories, 1500 to less than 3000 calories, 3000 to less than 4500 calories, or 4500 calories or more? Moderate physical activity includes exercises such as brisk walking, bicycling or gardening for about 30 minutes each day.
 
1 Less than 1500 calories
2 1500 to less than 3000 calories
3 3000 to less than 4500 calories
4 4500 calories or more
3.
Now, thinking about inactive adults, what is the recommended daily number of calories - less than 1500 calories, 1500 to less than 3000 calories, 3000 to less than 4500 calories, or 4500 calories or more? Inactivity is defined as sitting or remaining inactive for most of the day with little or no exercise at your job or during your leisure time.
 
1 Less than 1500 calories
2 1500 to less than 3000 calories
3 3000 to less than 4500 calories
4 4500 calories or more
Perceptions of caloric labeling in chain restaurants
1.
Do you feel that you know enough about your daily caloric requirements to make lower calorie choices in chain restaurants or do you feel that you don't know enough?
 
1 Yes, know enough
2 No, do not know enough
2.
If you were told the calorie count of foods at the point of purchase in a chain restaurant, such as McDonalds or Subway, how useful would that information be to your food choice? Would it be...?
 
1 Very useful
2 Somewhat useful
3 Not very useful
4 Not at all useful
3.
Would you be more or less likely to eat at chain restaurants if they reported calorie information on the menus alongside the price for each food item?
 
1 More likely to eat at chain restaurants reporting caloric information alongside price
2 Less likely to eat at chain restaurants reporting caloric information alongside price
3 Not more or less likely to eat at chain restaurants reporting caloric information alongside price
4.
A few cities are now requiring some chain restaurants (such as McDonalds or Subway) to post calorie information on the menu boards next to the price for each food item. If you were in a chain restaurant which had calories posted on the menu board next to the price for each food item, would that encourage you to...
 
1 Select a higher calorie food
2 Select a lower calorie food, or
3 Would it not influence your food purchase at all?
5.
If you were in a chain restaurant which had calories posted on the menu board next to the price for each food item, and you selected a higher calorie food, would you feel guilty for picking a higher calorie food or would you not feel guilty?
 
1 Yes, would feel guilty for picking a higher calorie food
2 No, would not feel guilty for picking a higher calorie food
6.
If you were in a chain restaurant which had calories posted on the menu board next to the price for each food item, would you be more likely to pay attention to the price or to the calories?
 
1 Pay attention to the price
2 Pay attention to the calories
Perceptions of calorie posting legislation
1.
Do you favor or oppose the government requiring chain restaurants, such as McDonalds or Subway, to post calorie information on menus or menu boards for each food item at the point of purchase?
 
1 Favor
2 Oppose
2.
Do you think the federal government should be responsible for requiring chain restaurants (such as McDonalds or Subway) to post calories on menus next to the price for each food item or do you think it should be the responsibility of state and local governments?
 
1 Responsibility of the federal government
2 Responsibility of state and local government

Acknowledgements

Funding: This work was supported by a grant from Center for Health Disparities Solutions at the Johns Hopkins Bloomberg School of Public Health.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SNB and KMP conceived the study and developed the hypotheses. SNB analyzed the data. All authors contributed to the interpretation of study findings. SNB drafted the manuscript and all authors contributed to the final draft. All authors read and approved the final manuscript. SNB is the guarantor.
Literatur
1.
Zurück zum Zitat Kopelman PG: Obesity as a Medical Problem. Nature. 2000, 404: 635-643.PubMed Kopelman PG: Obesity as a Medical Problem. Nature. 2000, 404: 635-643.PubMed
2.
Zurück zum Zitat Cohen DA: Obesity and the built environment: changes in environmental cues cause energy imbalances. Int J Obes (Lond). 2008, 32 (Suppl 7): S137-142. 10.1038/ijo.2008.250.CrossRef Cohen DA: Obesity and the built environment: changes in environmental cues cause energy imbalances. Int J Obes (Lond). 2008, 32 (Suppl 7): S137-142. 10.1038/ijo.2008.250.CrossRef
3.
Zurück zum Zitat Booth KM, Pinkston MM, Poston WS: Obesity and the built environment. J Am Diet Assoc. 2005, 105 (5 Suppl 1): S110-117. 10.1016/j.jada.2005.02.045.CrossRefPubMed Booth KM, Pinkston MM, Poston WS: Obesity and the built environment. J Am Diet Assoc. 2005, 105 (5 Suppl 1): S110-117. 10.1016/j.jada.2005.02.045.CrossRefPubMed
4.
Zurück zum Zitat Robert Wood Johnson Foundation: State Action to Promote Nutrition, Increase Physical Activity and Prevent Obesity. 2008, Princeton, NJ: Robert Wood Johnson Foundation Robert Wood Johnson Foundation: State Action to Promote Nutrition, Increase Physical Activity and Prevent Obesity. 2008, Princeton, NJ: Robert Wood Johnson Foundation
5.
Zurück zum Zitat Triggle N: Calorie information on menus call. BBC News London. 2009 Triggle N: Calorie information on menus call. BBC News London. 2009
6.
Zurück zum Zitat Baranowski T, Cullen KW, Nicklas T, Thompson D, Baranowski J: Are current health behavioral change models helpful in guiding prevention of weight gain efforts?. Obesity Research. 2003, 11: 23S-43S. 10.1038/oby.2003.222.CrossRefPubMed Baranowski T, Cullen KW, Nicklas T, Thompson D, Baranowski J: Are current health behavioral change models helpful in guiding prevention of weight gain efforts?. Obesity Research. 2003, 11: 23S-43S. 10.1038/oby.2003.222.CrossRefPubMed
7.
Zurück zum Zitat Keystone Forum in Away-From-Home Foods: Opportunities for Preventing Weight Gain and Obesity. 2006, Washington DC: Keystone Center Keystone Forum in Away-From-Home Foods: Opportunities for Preventing Weight Gain and Obesity. 2006, Washington DC: Keystone Center
8.
Zurück zum Zitat Sturm R: Stemming the global obesity epidemic: what can we learn from data about social and economic trends?. Public Health. 2008, 122 (8): 739-746. 10.1016/j.puhe.2008.01.004.CrossRefPubMedPubMedCentral Sturm R: Stemming the global obesity epidemic: what can we learn from data about social and economic trends?. Public Health. 2008, 122 (8): 739-746. 10.1016/j.puhe.2008.01.004.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Bowman SA, Vinyard BT: Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004, 23 (2): 163-168.CrossRefPubMed Bowman SA, Vinyard BT: Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004, 23 (2): 163-168.CrossRefPubMed
10.
Zurück zum Zitat Prentice AM, Jebb SA: Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev. 2003, 4 (4): 187-194. 10.1046/j.1467-789X.2003.00117.x.CrossRefPubMed Prentice AM, Jebb SA: Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev. 2003, 4 (4): 187-194. 10.1046/j.1467-789X.2003.00117.x.CrossRefPubMed
11.
Zurück zum Zitat Backstrand J: Fat Chance. 1997, Washington, DC: Center for the Public Interest Backstrand J: Fat Chance. 1997, Washington, DC: Center for the Public Interest
12.
Zurück zum Zitat Burton S, Creyer EH, Kees J, Huggins K: Attacking the obesity epidemic: the potential health benefits of providing nutrition information in restaurants. Am J Public Health. 2006, 96 (9): 1669-1675. 10.2105/AJPH.2004.054973.CrossRefPubMedPubMedCentral Burton S, Creyer EH, Kees J, Huggins K: Attacking the obesity epidemic: the potential health benefits of providing nutrition information in restaurants. Am J Public Health. 2006, 96 (9): 1669-1675. 10.2105/AJPH.2004.054973.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Krukowski RA, Harvey-Berino J, Kolodinsky J, Narsana RT, Desisto TP: Consumers may not use or understand calorie labeling in restaurants. J Am Diet Assoc. 2006, 106 (6): 917-920. 10.1016/j.jada.2006.03.005.CrossRefPubMed Krukowski RA, Harvey-Berino J, Kolodinsky J, Narsana RT, Desisto TP: Consumers may not use or understand calorie labeling in restaurants. J Am Diet Assoc. 2006, 106 (6): 917-920. 10.1016/j.jada.2006.03.005.CrossRefPubMed
14.
Zurück zum Zitat Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM: Prevalence of overweight and obesity in the United States, 1999-2004. Journal of the American Medical Association. 2006, 295 (13): 1549-1555. 10.1001/jama.295.13.1549.CrossRefPubMed Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM: Prevalence of overweight and obesity in the United States, 1999-2004. Journal of the American Medical Association. 2006, 295 (13): 1549-1555. 10.1001/jama.295.13.1549.CrossRefPubMed
15.
Zurück zum Zitat Blendon RJ, Altman DE, Benson JM, Brodie M: Health care in the 2004 presidential election. New England Journal of Medicine. 2004, 351 (13): 1314-1322. 10.1056/NEJMsa042360.CrossRefPubMed Blendon RJ, Altman DE, Benson JM, Brodie M: Health care in the 2004 presidential election. New England Journal of Medicine. 2004, 351 (13): 1314-1322. 10.1056/NEJMsa042360.CrossRefPubMed
16.
Zurück zum Zitat Blendon RJ, Benson JM, DesRoches CM, Weldon KJ: Using opinion surveys to track the public's response to a bioterrorist attack. Journal of Health Communication. 2003, 8 (Suppl 1): 83-92.CrossRefPubMed Blendon RJ, Benson JM, DesRoches CM, Weldon KJ: Using opinion surveys to track the public's response to a bioterrorist attack. Journal of Health Communication. 2003, 8 (Suppl 1): 83-92.CrossRefPubMed
17.
Zurück zum Zitat Curtin R, Presser S, Singer E: The effect of response rate changes on the Index of Consumer Sentiment. Public Opinion Quarterly. 2000, 64: 413-428. 10.1086/318638.CrossRefPubMed Curtin R, Presser S, Singer E: The effect of response rate changes on the Index of Consumer Sentiment. Public Opinion Quarterly. 2000, 64: 413-428. 10.1086/318638.CrossRefPubMed
18.
Zurück zum Zitat Keeter S, Miller C, Kohut A, Groves RM, Presser S: Consequences of reducing non-response in a national telephone survey. Public Opinion Quarterly. 2000, 64: 125-148. 10.1086/317759.CrossRefPubMed Keeter S, Miller C, Kohut A, Groves RM, Presser S: Consequences of reducing non-response in a national telephone survey. Public Opinion Quarterly. 2000, 64: 125-148. 10.1086/317759.CrossRefPubMed
19.
Zurück zum Zitat Traugott MW: Assessing poll performance in the 2000 campaign. Public Opinion Quarterly. 2001, 65: 389-419. 10.1086/322850.CrossRefPubMed Traugott MW: Assessing poll performance in the 2000 campaign. Public Opinion Quarterly. 2001, 65: 389-419. 10.1086/322850.CrossRefPubMed
20.
Zurück zum Zitat Department of Health and Human Services and U.S. Department of Agriculture: Dietary Guidelines for Americans. 2005, Washington DC: HHS and USDA Department of Health and Human Services and U.S. Department of Agriculture: Dietary Guidelines for Americans. 2005, Washington DC: HHS and USDA
21.
Zurück zum Zitat WHO: Obesity: Preventing and managing the global epidemic--report of a WHO consultation on obesity. 1988, Geneva: WHO WHO: Obesity: Preventing and managing the global epidemic--report of a WHO consultation on obesity. 1988, Geneva: WHO
22.
Zurück zum Zitat Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM: Prevalence of overweight and obesity in the United States, 1999-2004. JAMA. 2006, 13: 1549-1555. 10.1001/jama.295.13.1549.CrossRef Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM: Prevalence of overweight and obesity in the United States, 1999-2004. JAMA. 2006, 13: 1549-1555. 10.1001/jama.295.13.1549.CrossRef
23.
Zurück zum Zitat Grunert KG: Food quality and safety: consumer perception and demand. European Review of Agricultural Economics. 2005, 32 (3): 369-391. 10.1093/eurrag/jbi011.CrossRef Grunert KG: Food quality and safety: consumer perception and demand. European Review of Agricultural Economics. 2005, 32 (3): 369-391. 10.1093/eurrag/jbi011.CrossRef
24.
Zurück zum Zitat Glanz K, Mullis RM: Environmental interventions to promote healthy eating: a review of models, programs, and evidence. Health Educ Q. 1988, 15 (4): 395-415.CrossRefPubMed Glanz K, Mullis RM: Environmental interventions to promote healthy eating: a review of models, programs, and evidence. Health Educ Q. 1988, 15 (4): 395-415.CrossRefPubMed
25.
Zurück zum Zitat Cowburn G, Stockley L: Consumer understanding and use of nutrition labelling: a systematic review. Public Health Nutr. 2005, 8 (1): 21-28. 10.1079/PHN2005666.CrossRefPubMed Cowburn G, Stockley L: Consumer understanding and use of nutrition labelling: a systematic review. Public Health Nutr. 2005, 8 (1): 21-28. 10.1079/PHN2005666.CrossRefPubMed
26.
Zurück zum Zitat Bassett MT, Dumanovsky T, Huang C, Silver LD, Young C, Nonas C, Matte TD, Chideya S, Frieden TR: Purchasing behavior and calorie information at fast-food chains in New York City, 2007. Am J Public Health. 2008, 98 (8): 1457-1459. 10.2105/AJPH.2008.135020.CrossRefPubMedPubMedCentral Bassett MT, Dumanovsky T, Huang C, Silver LD, Young C, Nonas C, Matte TD, Chideya S, Frieden TR: Purchasing behavior and calorie information at fast-food chains in New York City, 2007. Am J Public Health. 2008, 98 (8): 1457-1459. 10.2105/AJPH.2008.135020.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Elbel B, Kersh R, Brescoll VL, Dixon LB: Calorie labeling and food choices: a first look at the effects on low-income people in New York City. Health Aff (Millwood). 2009, 28 (6): w1110-1121. 10.1377/hlthaff.28.6.w1110.CrossRef Elbel B, Kersh R, Brescoll VL, Dixon LB: Calorie labeling and food choices: a first look at the effects on low-income people in New York City. Health Aff (Millwood). 2009, 28 (6): w1110-1121. 10.1377/hlthaff.28.6.w1110.CrossRef
28.
Zurück zum Zitat Miles S, Scaife V: Optimistic bias and food. Nutrition Research Reviews. 2003, 16 (1): 3-19. 10.1079/NRR200249.CrossRefPubMed Miles S, Scaife V: Optimistic bias and food. Nutrition Research Reviews. 2003, 16 (1): 3-19. 10.1079/NRR200249.CrossRefPubMed
29.
Zurück zum Zitat Ezzati M, Martin H, Skjold S, Hoorn SV, Murray CJ: Trends in national and state-level obesity in the USA after correction for self-report bias: analysis of health surveys. Journal of the Royal Society of Medicine. 2006, 99: 250-257. 10.1258/jrsm.99.5.250.CrossRefPubMedPubMedCentral Ezzati M, Martin H, Skjold S, Hoorn SV, Murray CJ: Trends in national and state-level obesity in the USA after correction for self-report bias: analysis of health surveys. Journal of the Royal Society of Medicine. 2006, 99: 250-257. 10.1258/jrsm.99.5.250.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Merrill RM, Richardson JS: Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001-2006. Prev Chronic Dis. 2009, 6 (4): A121-PubMedPubMedCentral Merrill RM, Richardson JS: Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001-2006. Prev Chronic Dis. 2009, 6 (4): A121-PubMedPubMedCentral
31.
Zurück zum Zitat Thomas SB, Fine MJ, Ibrahim SA: Health disparities: the importance of culture and health communication. Am J Public Health. 2004, 94 (12): 2050-10.2105/AJPH.94.12.2050.CrossRefPubMedPubMedCentral Thomas SB, Fine MJ, Ibrahim SA: Health disparities: the importance of culture and health communication. Am J Public Health. 2004, 94 (12): 2050-10.2105/AJPH.94.12.2050.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat National Center for Health Statistics: Healthy People 2000 Review, 1998-99. 1999, Hyattsville, Maryland: Public HealthService National Center for Health Statistics: Healthy People 2000 Review, 1998-99. 1999, Hyattsville, Maryland: Public HealthService
33.
Zurück zum Zitat US Department of Health and Human Services: Healthy People 2010: Understanding and Improving Health. 2000, Washington, DC: U.S. Government Printing Office, 2 US Department of Health and Human Services: Healthy People 2010: Understanding and Improving Health. 2000, Washington, DC: U.S. Government Printing Office, 2
34.
Zurück zum Zitat Brownson RC, Boehmer TK, Luke DA: Declining rates of physical activity in the United States: what are the contributors?. Annual Review of Public Health. 2005, 26 (421): 443- Brownson RC, Boehmer TK, Luke DA: Declining rates of physical activity in the United States: what are the contributors?. Annual Review of Public Health. 2005, 26 (421): 443-
Metadaten
Titel
The publics' understanding of daily caloric recommendations and their perceptions of calorie posting in chain restaurants
verfasst von
Sara N Bleich
Keshia M Pollack
Publikationsdatum
01.12.2010
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2010
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-10-121

Weitere Artikel der Ausgabe 1/2010

BMC Public Health 1/2010 Zur Ausgabe