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Food Psychology 101: Why We Eat More Than We Think
James E. Painter PhD, RD Chair of the School of Family and Consumer Sciences Eastern Illinois University
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Obesity Trends
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Percent of Adult Females that are Obese by Country
3.4% Philippines 5% Switzerland 5.6% Thailand 6.7% Singapore 8% Malaysia 8% Tunisia 8.3% Cuba 9.9% Italy 10% Norway 10.3 Brazil 11% Netherlands 11.8% Canada 12% Sweden 13% Norway 13% Belgium 13.7% Canada 14% Spain 15% Mauritius 15% Iceland 15% Denmark (WHO, 2003) 16% Ireland 16% Slovakia 16.4% Peru 17% Austria 17% Latvia 17% France 17% Lithuania 18% New Zealand 18% Uruguay 18.5% Australia 19% Yugoslavia 19% Finland 20% Germany 20.9% Israel 21% Portugal 21% Hungary 21% Colombia 23% Romania 23% Scotland 23% Chile 23.5% England 25% Russia 25.1% Mexico 25.4% Argentina 26% Oman 26% Czech Republic 28% Greece 29.4% S. Africa 30% Iran 31.5% Jamaica 34% Bahrain 34% US 35.7% Paraguay 36% Curacao 36% Malta 36.5 Panama 40% Lebanon 40% Trinidid and Tobago 41% Kuwait 43.4% French Polynesia 66.3% Samoa American 74.3% Samoa -urban
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Percent of Adult Males that are Obese by Country
1.7% Thailand 1.7% Philippines 2% Tunisia 2.7% Cuba 5% Malaysia 5% Mauritius 5.3% Singapore 6% Switzerland 7.2% Jamaica 7.2% Peru 9% Latvia 9.1% S. Africa 9.5% Italy 10% Russia 10% Oman 10% Spain 10% Sweden 10% Iran 11% Lithuania 11% Netherlands 12% Austria 12% France 14% Portugal 14% Belgium 14.7% Israel 14.9% Mexico 15% Yugoslavia 15% Denmark 15% New Zealand 15.7% Chile 17% Romania 18% Hungary 18% Slovakia 18% Uruguay 18% Germany 18.5% Australia 19% Curacao 19% Iceland 20% Trinidad and Tobago 20% Ireland 20% Scotland 20% Finland 21% Lebanon 21% England 21% Colombia 22% Malta 22% Czech Republic 22.9% Paraguay 23% Bahrain 26.5% Brazil 27.7% U.S. 28.4% Argentina 29% Greece 32% Kuwait 34.6% French Polynesia 36.5% Panama 56% Samoa –urban* 64% Samoa –American*
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Why are Americans gaining weight
I. Lack of exercise II. Sedentary lifestyles III. Stress/pressure IV. Advertising V. Genetic VI. Deep emotional needs, DR Phil? VII. Haven’t found the right diet Premise for today! We lose track of how much we are eating (example)
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I Portion size 1. Restaurants
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Historical glance
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Then and Now…Bagel 20 years ago 3 in diameter 140 calories Today
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Then and Now…Burger 20 years ago 333 calories Today 590 calories
Monster Burger 1420 calories Web video video
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Then and now…Fries 20 years ago 2.4 oz 210 calories Today 6.9 oz
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Then and Now…Spaghetti
20 years ago 1 C. pasta-sauce w/ 3 meatballs 500 calories Today 2 C. pasta-sauce w/3 meatballs 1,025 calories
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Introduction of Larger Portion Sizes 1970-1999
60 50 40 30 20 10
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Value Marketing More for less money Increases company profits
“Combo Meal” “Value Meal” Increases company profits We spend a little extra for larger portions We feel we’ve gotten a deal Is it of value to get more of something you didn’t need in the first place Value meals cost less than it would cost to buy each component separately. Encourages customers to spend a little extra to purchase larger portion sizes yet feel as though they’ve gotten a deal. Cost of food itself is small so cost of larger portion is small Bundling-when fast food establishments encourage consumers to combine their entree with high-profit-margin, high calorie soft drinks and side dishes like french fries. Generally steers customers toward calorically-dense, low-nutrition foods rather than healthier options such as salads and yogurt parfaits.
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Value Meals McDonald’s Quarter Pounder Wendy’s Double w/cheese
Regular vs. value meal= 660 kcal Wendy’s Double w/cheese Regular vs. Combo meal= 600 kcal Burger King Whopper Regular vs. value meal= 590 kcal 1 daily value meal = 1#/wk = 52#/yr = 3,570# McD-Quarter pounder w/ cheese and a Quarter Pounder w/cheese medium extra value meal (med fries and coke) Wendy’s classic double w/cheese-making it an old fashioned value meal adds BK-it costs 87 cents more to “king size” the medium whopper value meal (adds 440 calories)
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Calorie Comparison-7-Eleven
700 600 500 400 300 200 100 Gulp Big Gulp Super Big Double
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Other Trends Nestle Toll House cookies
recipe yields 60 vs. 100 when written in 1949
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Changes in Calorie Consumption 1971-2000
CDC study Women’s intake of calories rose from 1,542 kcal to 1,877 kcal Men’s intake of calories rose from 2,450 kcal to 2,618 kcal Study published February 5th by CDC
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Macaroni study Subjects Design 51 men and women
served lunch 1 day/week for 4 weeks macaroni & cheese(500, 625, 750, 1000 g) Hypothesized when subjects determined their own portion, the amount in serving dish would not affect intake, but if experimenter determined portion, it would affect intake. Predicted subjects who restricted intake would resist environmental influence Predicted subjects who are more prone to eat in response to environmental cues would directly be affected by portion size. Also investigated whether men and women responded differently to portion size. Subjects were interviewed by phone to determine they were age 21-40, in good health, not following a weight loss diet, not using meds that affected intake, not athletes in training, not preg. Or lactating, no food allergies or food restriction. Subjects completed various questionnaires BMI of subjects had to be within 20-28 Experiment used a between-subject design. One group rec’d entee on a plate, other group received in serving dish Groups were matched by age, sex, BMI, and questionnaire score. Subjects were seated in individual cubicles-served Kraft mac & cheese, carrot sticks(30g), snack size chocolate bar (17g) and water (1L) Subjects had to eat carrots and choc. In full, eat as much or little of the rest
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Conclusions/Discussion
Results subjects consumed 30% more when offered largest portion Conclusions/Discussion larger portion led to greater intake 27 subjects in plate group, 24 in serving dish group Subjects in both groups consumed significantly greater amounts of lunch entrée as portion size increased (P<0.0001) Subjects consumed 30% more when presented the largest portion than when presented with smallest portion. Serving dish group took greater amt per serving spoonful Less than one half of subjects reported noticing difference in portion sizes Future studies should determine effects of portion size are seen in different types of foods. Mac & cheese has no distinct shape and people have difficulty judging portion size of foods with amorphous shape.
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The French Paradox Objective Design
Compare portion size of foods in restaurants, supermarkets, cookbooks, buffet guides Design Comparison of Paris and Philadelphia Conducted Jan-March 2001 France and US both affluent Western countries, both have major fashion industry and concern with appearance. A look at diet and health in two countries leads to what has been called the French Paradox. Mortality rate from heart disease is lower in France than US; French eat more total and saturated fat than Americans, consume less of fat-reduced products. Collected data by measuring actual portion sizes and time spent eating on site in Paris and Philadelphia during January-March 2001, and through analysis of printed materials (rest. Guides and cookbooks). Made sure rest. Were in similar neighborhoods, had similar prices, and same type of foods. Some times could compare same rest. Chain in both cities.
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Super size me Portion size me Web video
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CBS show on portion size me
CBS Morning Show December 2006 video
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II. Beware of the Size and Shape of Containers
General Finding About Package Size . . . Study 1. Package Size Study 2. Portion Size Study 3. Serving Shapes Study 4. Shape Study #2
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Package Size Increases Consumption
People who pour from larger containers eat more than those pouring from small Consistent across 47 of 48 categories General Finding: Package Size Can Double Consumption
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Hungry for Some Stale Movie Popcorn?
General Question Does portion size effect consumption? The Field Study (Chicago, IL) 2x2 Design Large vs. X-Large Popcorn (pre-weighed) Fresh vs. 10-day-old Popcorn
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We Eat Much More from Big Containers
People eat 45-50% more from extra-large popcorn containers They still eat 40-45% more with stale popcorn Grams Eaten Fresh 10 Days Old 100 90 80 70 60 50 40 30 20 10 Large Extra- Bucket Large Bucket
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Do Serving Container Shapes Bias Consumption?
Piaget’s Conservation of Volume Kids think tall vessels hold more than wide vessels
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Do Serving Container Shapes Bias Consumption?
133 adolescents at a “Nutrition & Fitness Camp” in NH Cafeteria at breakfast time Each was randomly given one glass when arriving Tall narrow juice glass or a Short wide juice glass
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Yes . . . Container Sizes and Shapes Bias Usage Volume
Ounces of Juice Poured 88% more into short wide glasses, but believed they poured bout the same Hmmm does this still happen with experts and a specific target volume (say 1.5 oz)? 12 10 Amount Poured Estimate 8 6 4 2 Tall Short Slender Wide Glass Glass
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Do Peripheral Cues Influence Experts with Precise Target Volumes?
48 Philadelphia bartenders Given 4 tall, slender (highball) glasses or 4 short, wide (tumbler) glasses Given 4 full 1500 ml bottles and asked to pour … Split in to . . . Less than 5 years experience More than 5 years experience Pour gin for gin & tonic Pour rum for rum & Coke Pour vodka for vodka tonic Pour whiskey for whiskey/rocks Highball Glass Tumbler
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Bartenders poured 28% more alcohol into tumblers than highball glasses
“When in Philadelphia, Should I Ask for a Tumbler or a Highball Glass?” Bartenders poured 28% more alcohol into tumblers than highball glasses Experience doesn’t eliminate bias < 5 years 5+ years 0.5 1 1.5 2 2.5 Tall Highball Glass Short Tumbler oz
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III. The effect of visibility and convenience on dietary consumption
Gas stations, remember when someone else pumped the gas Fast food, remember when you had to go in
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RESEARCH QUESTIONS (1) Do people eat more when food is in sight?
(2) Do people eat more when food is within reach?
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METHODS Intervention: Three conditions:
Closed candy container containing 30 Hershey kisses replenished daily Three conditions: on top of the desk (visible & convenient) in a desk drawer (not visible & convenient) away from desk (inconvenient)
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METHODS Study design: 1 week in each condition
Length of study: 3 weeks Questionnaires: Estimate of candy consumption in each condition
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AMOUNT OF CANDY CONSUMPTION ACCORDING TO CONDITION
10 9 8 7 Number of 6 on desk candies 5 in desk consumed 4 2 meters from desk 3 2 1 on desk in desk 2 meters Painter, J., Wansink, B., Hieggelki, J. (2002). How Visibility and Convenience Influence Candy Consumption. Appetite 38, from desk
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ACTUAL AND ESTIMATED AMOUNT OF CANDY CONSUMPTION
12 10 8 Number of 6 actual candies estimated consumed 4 2 on desk in desk 2 meters from -2 desk Painter, J., Wansink, B., Hieggelki, J. (2002). How Visibility and Convenience Influence Candy Consumption. Appetite 38,
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Would this be seen with other types of foods???
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Average Number of Pretzels Consumed by Condition
25 20 15 Number Consumed 10 5 On the Desk In the Desk Away from Desk Painter, J,E., North, J Effects of Visibility and Convenience on Snack Food Consumption. Journal of the American Dietetic Association, 103(9), A-81.
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METHODS Two conditions: Study design: Length of study: 3 weeks
2 days in each condition 4 foods, grapes, chocolate, carrots & pretzels, were placed in one of 2 conditions Two conditions: On top of the desk (visible & accessible In a desk drawer (not visible & inaccessible)
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Increase in Dietary Intake when food is Visible (on desk)
Compared to Invisible (in desk) 45.00% 40.00% 35.00% % increase 30.00% Grapes 25.00% Chocolate 20.00% carrots 15.00% pretzels 10.00% 5.00% 0.00%
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IV. Can Labels Change the Taste of Foods?
Study 1. Descriptive Labels in the Cafeteria Study 2. Health Labels
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Method Basic question -- Do descriptive labels (in aggregate) impact consumers? Four general types of descriptive menu labels 1) Geographic labels (Cajun or Italian) 2) Nostalgic labels (homestyle or Grandma’s) 3) Sensory labels (tender or satin) 4) Brand labels (Jack Daniels Chicken or Butterfinger Blizzard)
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Menu Items Used Red beans & rice Seafood filet Grilled chicken
Chicken Parmesan Chocolate Pudding Zucchini cookies Traditional Cajun Red beans & rice Succulent Italian Seafood filet Tender Grilled chicken Homestyle Chicken Parmesan Satin Dutch Chocolate Pudding Grandma’s Zucchini cookies
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Dependent Variables Completed questionnaire at end of meal
Perception -- Taste (1 to 9) & Texture (1 to 9) Calorie estimation Repurchase intentions (Eat again within 2 weeks (1 to 9)
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“Well, I know what I like” --> Maybe Not
8 7 People evaluate descriptive foods as more favorable 6 5 Taste 4 Texture 3 Calories 2 1 Plain Descriptive
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Results: Effects are Less Strong with Desserts
Taste No Label Label Desserts Main & Side Dishes
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Results: Impact on Perceptions
Descriptive Labels* Influenced Perception Was appealing vs. 6.7* Tasted good vs. 7.3* Number of calories 303 vs. 366*
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V Visual cues 1. Chicken bones and beer bottles 2. Ice cream 3. Soup
4. Pistachios
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Do We Put More into Big Containers
Subjects were give bowls (17oz or 34oz) and serving spoons of different sizes They serves themselves as much as they desired Ounces Eaten 10 9 8 7 6 5 4 3 2 1 small Large
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Effect of Bowl and spoon size
CBS Morning Show December 2006 video
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V Visual cues 1. Chicken bones and beer bottles 2. Ice cream 3. Soup
4. Pistachios
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Refillable Soup Bowls Increase Consumption,
but Not Perception of Consumption 300 250 200 Actual Calories Calories Consumed 150 Estimated Calories 100 Consumed 50 Normal Soup Bowls Refillable Soup Bowls
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Soup Study Fifty-four participants (72% male)
Details were not provided about the study, but bowls used in the study were different colors, subjects were guessing the purpose of the study.
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V Visual cues 1. Chicken bones and beer bottles 2. Ice cream 3. Soup
4. Pistachios
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3. How Pistachios Shells Function as Visual Cues that Effect Consumption
Study 1 Will consumption of nuts in the shell reduce self selected portions compared to shelled? Methods Population 129 college students Subjects self selected a portion of nuts Two conditions Shelled nuts offered Nuts in the shell offered
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Self Selected Portions of Pistachios; Comparing Shelled Nuts to Nuts in the Shell by Weight (no significant differences P ≥ .01) 1.8 1.6 1.4 1.2 Initial weight 1 selected Ounces 0.8 weight 0.6 consumed 0.4 0.2 Shelled With shell
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Self Selected Portions of Pistachios;
Comparing Shelled to Nuts in the Shell by Calorie (Differences were significant p ≤ .01) 300 250 Calories 200 initially selected calories 150 Calories 100 consumed 50 Shelled With Shell Calorie consumption decreased by 50% when nuts were consumed with the shell.
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Satisfaction with and Satiety of Portions. P ≥
Satisfaction with and Satiety of Portions ** P ≥ .01 for each attribute, no significant differences 3.5 3 2.5 2 Full 1.5 Satisfied 1 0.5 Shelled In shell ** Scales Fullness 1 very Hungry to 5 very full Satisfaction 1 very satisfied to 5 very unsatisfied
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Quality Comparison Shelled Nuts vs Nuts in the Shell. P ≥
Quality Comparison Shelled Nuts vs Nuts in the Shell ** P ≥ .01 for each attribute, no significant differences 2.5 2 1.5 Taste Texture 1 Quality 0.5 Shelled In Shell ** Scale 1 Less appealing to 3 most appealing
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Will the presence of the empty shells reduce consumption? Methods
Study 2 Will the presence of the empty shells reduce consumption? Methods Population 17 faculty & staff Two conditions Empty shells left on table (visible) Empty shells were cleared Duration 8 hours
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Calorie Consumption Comparing Empty Shells visible to Shells Cleared Differences were significant p ≤ .01 350 300 An increase of 56% when shells were cleared 250 200 Calories Calories 150 consumed 100 50 Shells visible Shells cleared
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Satiety of Portions ** No significant differences, P ≥ .01
5 4.5 Even though consumption increased by 56%, there was no significant difference in satiety 4 3.5 3 2.5 Full 2 1.5 1 0.5 Shells visible Shells cleared ** Fullness Scale (1) very Hungry – (5) very full
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Quality Comparison Shells Visible vs Shells Cleared. P ≥
Quality Comparison Shells Visible vs Shells Cleared ** P ≥ .01 for each attribute, no significant differences ** Scale (1) Least appealing – (3) most appealing
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Solution Self monitoring Know what you are eating
Track what you are eating
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Efficacy Self monitoring
38 subjects Sample was split into four quartiles (based on participants’ self-monitoring consistency During holiday (3 weeks) and non-holiday weeks (7 weeks). Baker and Kirschenbaum 1998, Health Psych
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Efficacy of self monitoring
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Efficacy Self monitoring
57 subjects Over the holiday season Intervention (adding self-monitoring) 2 weeks pre holiday During a 2-week holiday period And 2 weeks post holiday. Boutelle et al. 1999, Health Psych
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Efficacy of self monitoring
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Conclusion Self monitoring helps control consumption. Smaller package size decreases consumption Out of sight out of mind. Visibility influences consumption. Inconvenience decreases consumption. Food labels influence consumption. Visual cues to satiation influence consumption Food guides guide consumption.
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Educate on portion size Educate on serving size
Implications Monitor food intake Educate on portion size Educate on serving size Encourage clients to order smaller items avoid “super-sizing”, etc. Education-control of portion at home. Make healthy foods convenient. Use food guides.
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Thank You . . .
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