Journal of Obesity & Weight Loss Category: Medical Type: Research Article

Chocolate Consumption and Health Beliefs and its Relation to BMI in College Students

Charles Platkin1*, Patricia Estrella2, Caitlin MacShane3, Deborah Allinger3, Rebecca Elbaum2, Melissa Keeney3, Barbara Brumaru2, Ming-Chin Yeh4* and Katarzyna Wyka5
1 Nutrition and food science program, School of Urban Public Health, Hunter College, City University of New York School of Public Health, Silberman Building, 2180 Third Avenue RM 528, New York, NY 10035, United states
2 Nutrition and food science program, School Of Urban Public Health, Hunter College, City University of New York School of Public Health, Manhattan, United states
3 Nutrition and food science program, School of Urban Public Health, Hunter College, City University of New York School of Public Health, Manhattan, United states
4 Nutrition and food science program, School of Urban Public Health, Hunter College, City University of New York School of Public Health, Ilberman Bldg, 2180 Third Avenue, RM 614, New York, NY 10035, United states
5 Epidemiology and biostatistics program, School of Urban Public Health, Hunter College, City University of New York School of Public Health, New York, United states

*Corresponding Author(s):
Charles Platkin
Nutrition And Food Science Program, School Of Urban Public Health, Hunter College, City University Of New York School Of Public Health, Silberman Building, 2180 Third Avenue RM 528, New York, NY 10035, United States
Ming-Chin Yeh
Nutrition And Food Science Program, School Of Urban Public Health, Hunter College, City University Of New York School Of Public Health, Ilberman Bldg, 2180 Third Avenue, RM 614, New York, NY 10035, United States
Tel:+1 2123967776,

Received Date: Nov 06, 2015
Accepted Date: Jan 06, 2016
Published Date: Jan 21, 2016


Objective: To evaluate chocolate consumption, its association with Body Mass Index (BMI), and the relationship between health beliefs about chocolate and its consumption in college students.

Methods: In 2013, a paper and electronic survey was conducted to assess personal health information, type of chocolate consumed, its typical serving size, and frequency of consumption. A series of statements pertaining to chocolate consumption and health was assessed using a five-point Likert scale. The survey was conducted between May 1 and August 5, 2013 and recruited participants from a multi-ethnic population of students and employees of an urban college.

Results: Participants (n=553) were 66.7% female, mean age of 23.75 years (SD=7.40) and a mean BMI of 23.61 (SD=5.11). Milk chocolate was consumed by 40% of participants and 28.4% consumed dark chocolate. Most respondents ate a small-medium or medium-large serving size of chocolate (66.8%) and consumed chocolate several times a week (48.9%). A significant association was observed with milk chocolate consumed in large serving sizes, whereas dark chocolate was consumed in small serving sizes (p=0.001). In comparison to males, females were more likely to have consumed dark chocolate (p<0.001) and in smaller servings sizes (p<.001). Racial/ethnic differences were observed with Whites consuming more dark chocolate and other racial/ethnic groups consuming more milk chocolate (p<0.001), while African-Americans and Asians consumed larger serving sizes (p=0.013). Most respondents agreed with a statement that dark chocolate is the healthiest chocolate (74.1%), this belief was stronger among females as compared to males (p<.001). While most chocolate health beliefs were similar between genders and racial and ethnic groups, males, African-Americans, and Hispanics held stronger beliefs that all chocolate is good for one’s health (p<.05). BMI was not associated with chocolate consumption nor was health beliefs about chocolate.

Conclusion: Our findings showed that this group of college-aged students tended to consume milk chocolate most commonly. Racial/ethnic and gender differences were observed in consumption and general health beliefs of chocolate. No association was observed between BMI and type of chocolate consumption, or between BMI and chocolate health beliefs.


Since 1980, the worldwide prevalence of overweight and obesity has almost doubled [1]. Overweight and obesity has been attributed to 3.4 million deaths per year worldwide [2] and an increased risk of chronic diseases [1]. As a result, much attention has been paid to prevention mechanisms, including increasing physical activity and adequate nutrition. The impact of dietary components, such as chocolate products, on body weight and health status is being actively researched.

Chocolate consumption and health status

In recent years, chocolate-related research, especially in regards to the health benefits of dark chocolate, has grown in popularity [3-6]. Although most research highlights the benefits of chocolate consumption, it is important to note the difference between commercially available chocolates. Chocolate, a processed form of cocoa beans derived from the seeds of Theobroma cacao, is a suspension of sugar, cocoa, and/or milk solids in a continuous fat phase, which is categorized primarily into white, milk or dark chocolate that differ on a spectrum of chocolate liquor [7]. White chocolate has no chocolate liquor, dark chocolate has the most chocolate liquor, and milk chocolate varies in between [8]. Additionally, chocolate is a rich source of polyphenols, such catechins, and flavonol glycosides [9], as well as a source of minerals and compounds like methylxanthines that add to its health-promoting properties [10,11].

There have been many studies indicating the cardiovascular benefits associated with consumption of dark chocolate and its flavonoids. In a randomized controlled crossover trial, Faridi et al., [4] examined the cardio protective effects of solid dark chocolate and liquid cocoa and found that its consumption improved endothelial function and decreased blood pressure in overweight adults. Similarly, other studies have demonstrated that consuming 50 g of dark chocolate significantly improved endothelial function, increased nitric oxide levels, and decreased superoxide anion production [5,6]. In a related study pertaining to cardiovascular health, the National Heart, Lung, and Blood Institute (NHLBI) family heart study found an inverse association between the frequency of chocolate consumption and the calcified atherosclerotic plaque in the coronary arteries [3]. Furthermore, meta-analyses of studies have found that dark chocolate and cocoa beverages decreased systolic blood pressure by 2.77 to 4.5 mmHg and diastolic blood pressure by 2.20 to 2.50 mmHg [12,13].

Cocoa and its polyphenols have been shown to prevent or slow down the progression of cancer by diminishing intracellular reactive oxygen species production, enhance the activity of endogenous antioxidant enzymes, act as a radical scavengers, prevent oxidative damage to DNA, inhibit inflammatory mediators, and induce apoptosis in cancer cells [14]. For instance, cocoa was shown to be chemo protective as it induced antioxidant enzymes and suppressed the expression of inflammatory mediators in a mouse model of colitis-associated cancer cells [15]. Another study found that a polyphenolic cocoa extract had an antioxidant effect at the molecular level by over expressing a gene, CYP1A1, in breast cancer cells which is important in metabolizing xenobiotics, carcinogens, and estrogen [16].

There is some evidence that dark chocolate may help with body fat or body weight. For example, an animal study found that mice that were fed a high-fat diet supplemented with an equivalent reasonable human dose of cocoa had a lower increase in fat mass compared to the high-fat control group [17]. In another study examining the anti-obesity effects of cocoa in rats found that cocoa decreased body weight gain and the weight of white adipose tissue [18].

Although there have been an abundance of research focusing on the health contributions of chocolate, it is important to note that not all varieties offer the same benefits. Milk chocolate and, especially, white chocolate are higher in fat, calories, and added sugars in comparison to dark chocolate, thus may reduce healthful effects. A prospective cohort study found a dose-dependent relationship between chocolate-candy consumption and weight gain in women with each additional 1 oz serving per month associated with an average weight gain of 0.92 kg in the three-year study period [19]. Furthermore, there is also research that addresses its potential adverse contributions to health. A study of older women aged 70-85 years of age that examined the relationship between chocolate consumption and bone density and strength found that a higher frequency of consumption was associated with lower bone density and strength [20].

Due to the controversy and inconsistencies in prior research, a study that assesses the relationship between BMI and chocolate consumption, differentiating between different types, is warranted. In addition, the study will explore if health beliefs affect chocolate consumption and BMI. To our knowledge, this is the first study to examine such relationship. The objectives of this study will be to evaluate: 1) chocolate consumption in college students, 2) their association with BMI, 3) the relationship between health beliefs about chocolate and their consumption.


Study design and survey development

The Institutional Review Board for the protection of human participants in research at Hunter College, City University of New York approved the protocol for this study, which was conducted in 2013. Survey questions were developed based primarily on prior studies [21-23]. Prior to data collection, a pilot test of 30 participants was conducted to assess the survey quality. Minimal changes were made to the survey, mainly in regards to wording of questions. For example, since some responses identified more than one ethnicity, a “mixed ethnicity” choice was added. The survey was designed to assess personal health information, chocolate consumption and chocolate health beliefs. The survey was divided into three separate sections:

Individual characteristics and attributes

Questions in this section included age, sex, ethnicity, height and weight, household income and health-seeking behavior questions such as smoking status, degree of physical activity and self-perceived healthy eating habits. Self-reported height and weight were used to calculate BMI.

Chocolate consumption and health beliefs

Questions in this section pertained to type of chocolate consumed (i.e., milk chocolate, dark chocolate, white chocolate or any type), typical serving size based on pictures provided, frequency of consumption, and which chocolate-containing foods are consumed (i.e., candy, cake, ice cream, etc.). This was followed by a series of statements pertaining to chocolate consumption and health assessed by a five-point Likert scale ranging from strongly agrees to strongly disagree.

Data collection

The survey was conducted between May 1 and August 5, 2013 and recruited participants from a multi-ethnic population of students and employees of an urban college in New York City. Research assistants approached students and employees in the dining area and halls to complete a paper survey and verbal consent was obtained from each participant. In addition, an online version of the survey (Appendix 1), was created using Formstack (, a website dedicated to form creation and online data collection tool. A link to the survey and consent form was distributed to students using listserv emails to different academic departments within the college.

Statistical analysis

General descriptive statistics (Mean/SD and percentages) were used to describe the sample and assess chocolate consumption. Chi-square tests were conducted to test for differences in chocolate consumption between males and females and race/ethnic groups (White, African-American, Hispanic, Asian, and Other/Mixed). Pair wise comparisons were conducted using chi-square goodness-of-fit tests. Differences in five chocolate health beliefs assessed were evaluated using chi-square test for categorical outcomes (agree/strongly agree vs. neither agree nor disagree vs. disagree/strongly disagree). Results from these analyses were then confirmed using Mann-Whitney U and Kruskal-Wallis tests for the original 5-Likert scales.

Lastly, linear and logistic regressions were conducted to test for associations between BMI index and BMI categories and chocolate consumption and chocolate health beliefs. All analyses were conducted using the Statistical Package for the Social Sciences (SPSS, version 12, SPSS, Inc., Chicago, IL, 2004). Significance was judged as p<.05 and analyses were not adjusted for inflated Type I error due to testing multiple hypotheses.


Sample description

The sample was representative of current college undergraduate students [24] (Table 1). Of the respondents, 66.7% were female. The mean age was 23.75 years (SD=7.40). Most identified themselves as White (35.3%), followed by Asian (22.8%), Hispanic (19.4%), other/mixed (14.1%) and African American (8.3%). The mean BMI was 23.61 (SD=5.11). The majority of respondents were of normal BMI (66.1%), 17.1% were overweight, and 9.60% were obese. Most respondents described their diet as healthy (57.0%) and reported exercising at least 1 times a week (64.6%).
Characteristic n M (SD) or %
Age 551 23.75 (7.40)
Male 182 32.7
Female 371 66.7
White 195 35.3
African-American 46 8.3
Asian 126 22.8
Hispanic 107 19.4
Other/Mixed 78 14.1
Household Income    
$0 - $29,999 174 32.8
$30,000 - $49,999 126 23.8
$50,000 - $69,999 80 15.1
$70,000 or more 150 28.3
Education Level    
Some college 365 66
College graduate 188 34
BMI 519 23.61 (5.11)
Underweight (BMI<18.5) 37 7.1
Normal (18.5≤BMI≤24.9) 343 66.1
Overweight(25≤BMI≤29.9) 89 17.1
Obese(MBI ≥30) 50 9.6
Smoking Status    
Non smoker 443 79.7
Former smoker 60 10.8
Current smoker 51 9.2
Rarely 130 35.4
1-2 times per week 102 27.8
3 or more times per week 135 36.8
Healthy 306 57
Neither healthy nor unhealthy 146 27.2
Unhealthy 85 15.8
Table 1: Sample characteristics.

Chocolate consumption

About 40% of the respondents reported consuming milk chocolate, followed by dark chocolate (28.4%, with the vast majority consuming dark chocolate with cocoa level of over 50%), and any type of chocolate (28.6%). Most respondents (66.8%) typically ate a small-medium or a medium-large size of chocolate and 48.9% consumed chocolate several times a week (Table 2). There was a statistically significant association between the type of chocolate consumed and serving size (χ2(6, N=442)= 21.50, p=0.001), with milk chocolate more often consumed in large serving sizes as compared to dark chocolate (23.4% vs. 12.3%). Majority of respondents reported consuming multiple products containing chocolate (72.3%), most often candies and cookies.
  Overall n=494 Male n=182 Female n=371   White n=195 White n=195 Hispanic n=107 Asian n=126  Other/ Mixed n=78  
  % % % p-valuec % % % % % p-valued
Don’t eat chocolate 7.3 8 6.7 0.128 3.8 17.8 5.5 10.8 5.7 0.369
Type of chocolate usually consumed       <.001           <.001
Milk chocolate 43 43.8 45.2   35.7 71.4 53 40.7 50  
Dark chocolatea 28.4 18.5 34.4   40.9 11.4 21.7 31.4 15.6  
Any typeb 28.6 37.7 20.4   23.4 17.1 25.3 27.9 34.4  
Typical serving size       <.001           0.013
Small 14.6 10 17   18.9 18.9 12.8 11 9.1  
Small-medium 40.8 33.3 44.4   45.7 27 41.9 28.6 53  
Medium-large 26 30 23.9   22.9 32.4 23.3 35.2 19.7  
Large 18.6 26.7 14.7   12.6 21.6 22.1 25.3 18.2  
Frequency of chocolate eating       0.585           0.081
Daily 4 4 3.6   3.5 2.8 5.8 0 9.1  
Several times a week 48.9 45.6 50.8   53.8 38.9 46.5 53.3 39.4  
Rarely 47.1 50.3 45.5   42.8 58.3 47.7 46.7 51.5  
Table 2: Chocolate consumption overall and by gender and race/ethnicity.
aDark chocolate includes dark chocolate with 50% cocoa or more and less than 50% cocoa
bIncludes White chocolate
c, dp-values for gender differences and race/ethnic differences were based on bivariate 2x2 χ² tests. Pair wise comparisons for race/gender differences were assessed using the χ² goodness-of-fit tests. Significant differences (p < .05) are bolded.

Females were significantly more likely to consume dark chocolate (34.4% vs. 18.5%) and less likely to choose any type of chocolate (20.4% vs. 37.7%) than males (χ²(2, N=440)= 19.60, p<0.001). Likewise, females consumed smaller servings of chocolate overall (small/small-medium serving size 61.4% vs. 43.3%, χ²(3, N=456)= 15.59, p<.001). Chocolate preferences also differed by race/ethnicity, with Whites consuming significantly more dark chocolate than African Americans, Hispanic and Other/Mixed (40.9% vs. 11.4%, 21.7% and 15.6%, respectively; χ²(4, N=129)= 106.23, p<0.001). Milk chocolate consumption was significantly associated with being African-American (71.4% vs. 35.7% for Whites, 53.0% for Hispanics, 50.0% for Other/Mixed and 40.7% for Asians; χ2(4, N=197)= 19.52, p<0.001). In addition, African-Americans and Asians reported consuming generally larger serving sizes (χ²(12, N=455)= 25.33, p=0.013) (Table 2). There was no association between chocolate type, serving size or chocolate consumption frequency and respondent’s BMI.

Health beliefs about chocolate and chocolate consumption

Overall, most respondents agreed with a statement that dark chocolate (with 50% cocoa or more) is the healthiest chocolate (74.1%). About half of respondents reported a belief that dark chocolate (w/ 50% cocoa or more) helps reduce blood pressure (45.7%) and dark chocolate (w/ 50% cocoa or more) consumption helps lower the risk of heart disease (47.2%). Thirteen percent of respondents thought that all chocolate are good for one’s health and 28.3% endorsed a statement that dark chocolate (with 50% cocoa or more) helps prevent cancer.

Chocolate health beliefs regarding blood pressure, heart disease, and cancer were similar among females and males and racial/ethnic groups (Figure 1). However, males, African-Americans, and Hispanics reported a stronger belief that all chocolate is good for your health (χ²(2, N=451)= 8.99, p=0.011 and χ²(8, N=450)= 21.91, p=0.005, respectively) (Figure 1). In addition, women were significantly more likely to agree that dark chocolate (with 50% cocoa or more) is the healthiest chocolate (χ²(2, N=453)= 21.44, p<0.001). There were no differences in chocolate health beliefs and neither chocolate consumption patterns nor respondent’s BMI.
Figure 1: Beliefs about chocolate overall and by gender and race/ethnicity.
Note: M=Male; F=Female; W=White; AA=African-American; H=Hispanic; AS=Asian; O/M=Other/Mixed; Gender differences and race/ethnic differences were based on bivariate 2x2 χ² tests.


Chocolate consumption, chocolate health beliefs, and BMI

The majority of participants consumed milk chocolate, followed by dark chocolate, in small-medium to medium-large servings several times a week. We found an association between types of chocolate consumed and serving size; dark chocolate was consumed in smaller servings compared to other types of chocolate, while milk chocolate was consumed in larger serving sizes. Randomized crossover trials have found that dark chocolate in smaller servings can be more satiating than milk chocolate and curb sweet cravings longer [25,26]. Moreover, another study found that smelling or ingesting 30 g of dark chocolate suppresses the appetite through the involvement of decreased ghrelin, the hunger hormone [27]. However, dark chocolate’s effect on satiety might be a function of its intense flavor from its high cocoa content and high fat content that increases gastrointestinal transit time [28].

Women have been reported to have more cravings for chocolate and are more likely to choose chocolate as a “comfort food” compared to men [29]. In this study, females were found to be significantly more likely to consume dark chocolate and in smaller servings. Contrastingly, a randomized controlled study that examined the psychoactive effects of tasting chocolate and the components to desire more consumption revealed that more men than women desired to consume more chocolate in spite of men’s lower chocolate craving and liking scores [30]. On the other hand, a cross-sectional study of undergraduate psychology students found no gender differences in chocolate consumption [31].

We also observed significant differences in chocolate consumption among racial/ethnic groups. Dark chocolate consumption was greater among Whites and milk chocolate consumption greater among other racial/ethnic groups with Asians and African-Americans consuming the largest sizes. Milk chocolate is known to be considerably sweeter and less bitter than dark chocolate. Although there may be many factors to explain this finding, a study that examined sucrose preferences reported racial/ethnic differences with African-Americans preferring solutions with higher concentrations of sucrose compared to Whites [32].

We found that most participants believed that dark chocolate to be the healthiest choice, to help reduce blood pressure, and to lower the risk of heart disease. And overall, chocolate health beliefs did not differ between participants in most statements. However, this study did find gender and racial differences concerning chocolate’s health beliefs with males, African-Americans, and Hispanics reporting a stronger belief in all chocolate being good for one’s health and with females agreeing that dark chocolate is the healthiest choice. Our findings contradict the suggestion that chocolate, treated as a treat, has limited credibility of any health claims among its participants [33].

To our knowledge, this is the first study to examine the relationship between the type of chocolate consumption or chocolate health beliefs and BMI. We found that neither chocolate consumption nor type of chocolate is correlated to BMI category. The relationship between chocolate consumption and BMI in the current literature, however, is mixed. A meta-analysis found no significant relationship between BMI and flavonoid-rich cocoa in 11 short-term studies [34]. Cross-sectional surveys have found those who consumed chocolate at higher frequencies had lower levels of BMI [35-37]. However, those authors did mention BMI-confounding factors such as physical activity [35,36]. A prospective study yielded a significant dose-response association between chocolate intake and BMI over time, but their cross-sectional analysis found an inverse association between chocolate intake and BMI [38].


Findings from this study are limited to urban, young college students and extrapolation of the results to the rest of the US population is limited. Furthermore, there is a chance of misreporting of chocolate consumption by participants that may have biased associations. Food recalls can be subject to variation in recalling in certain food items such as a snack items like chocolate, respondents more likely to omit than add food items, and over- or underestimate portion sizes [39]. Although some studies have shown that the self-reported body weight and heights of young adults tend to be fairly accurate [40,41], another limitation can be the possibility of underestimation of self-reported weight and overestimation of height [42,43]. Another limitation of the study can be the lack of accurate labeling of polyphenols in commercial chocolate to determine the true relationship between chocolate and health or BMI. Lastly, there may be relevant confounding factors, such as energy intake or physical activity, which may be responsible for the relationship between chocolate consumption with BMI.


In conclusion, majority of the participants consumed milk chocolate in larger serving sizes, followed by dark chocolate in smaller serving sizes. The gender and racial/ethnic differences observed was dark chocolate consumption being significantly greater among Whites and females. Participants tended to disagree with chocolate health belief statements, but males, African-Americans, and Hispanics believed strongly all chocolate is good for one’s health, while females believed dark chocolate is the healthiest. There was no association between BMI and type of chocolate consumption, or between BMI and chocolate health beliefs. Further research should take steps to control confounding factors, such as physical activity or energy intake, to confirm whether the type of chocolate consumption and BMI are not related.


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Citation: Ming-Chin Yeh, Platkin C, Estrella P, MacShane C, Allinger D, et al. (2016) Chocolate Preferences and Its Relation to BMI and Health Status in College Students. J Obes Weight Loss 1: 004.

Copyright: © 2016  Charles Platkin, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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