The following symptoms & habits may be related to 'Eat out when traveling'.
See your
for a computerized assessment of your body type.
Please click on the symptoms below to learn more about them.
of other symptoms.
From the
people who reported Eat out when traveling
average deviation in biocharacteristic levels were the following:
Oily Sign![]()
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71.9% avg client level
26.2% (4,541) of cases
9,587 have Oily constitution
Salty Sign![]()
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64.4% avg client level
20.8% (3,616) of cases
7,179 have Salty constitution
Kapha![]()
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64.1% avg client level
33.7% (5,844) of cases
12,745 have Kapha constitution
Sweet![]()
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61.8% avg client level
27.4% (4,745) of cases
9,650 have Sweet constitution
Heavy Sign![]()
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56.0% avg client level
27.5% (4,772) of cases
9,738 have Heavy constitution
Astringent![]()
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52.0% avg client level
20.0% (3,461) of cases
8,068 have Astringent constitution
Dry![]()
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50.4% avg client level
22.8% (3,960) of cases
9,009 have Dry constitution
Light![]()
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50.0% avg client level
23.0% (3,993) of cases
9,391 have Light constitution
Difficult Sign![]()
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50.0% avg client level
24.8% (4,307) of cases
8,532 have Difficult constitution
Sour![]()
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45.2% avg client level
21.2% (3,677) of cases
7,528 have Sour constitution
Hot![]()
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44.0% avg client level
21.5% (3,721) of cases
7,949 have Hot constitution
Gooey![]()
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43.6% avg client level
19.1% (3,309) of cases
7,069 have Gooey constitution
Bitter![]()
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39.7% avg client level
20.7% (3,590) of cases
8,626 have Bitter constitution
Causes Toxic![]()
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35.2% avg client level
21.2% (3,676) of cases
7,099 have Toxic constitution
Pungent![]()
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34.8% avg client level
17.9% (3,111) of cases
6,802 have Pungent constitution
Pitta![]()
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33.4% avg client level
29.1% (5,051) of cases
10,540 have Pitta constitution
Cold![]()
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29.5% avg client level
21.0% (3,646) of cases
8,107 have Cold constitution
Vata![]()
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28.1% avg client level
29.3% (5,078) of cases
11,554 have Vata constitution
Below you will see general risk factors as well as the greatest risk factors, i.e. those who were also more likely to report Eat out when traveling.
Overall,
45.14% of people surveyed reported Eat out when traveling.
Review These Common Risk Factors
Feel underweight (2358)
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840 cases with both
35.6% of cases
20% less often
Feel overweight (25362)
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11655 cases with both
46% of cases
insignificant difference
Hyperactive, quick (19615)
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4609 cases with both
23.5% of cases
50% less often
Fatigue / tired (16721)
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7644 cases with both
45.7% of cases
insignificant difference
Male (1336)
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597 cases with both
44.7% of cases
insignificant difference
Female (26227)
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12005 cases with both
45.8% of cases
insignificant difference
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Frequent travel (2968)
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2166 cases with both
73% of cases
60% more often
Eat out on work days (6529)
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4421 cases with both
67.7% of cases
50% more often
Restaurants 3+ times / week (6106)
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3902 cases with both
63.9% of cases
40% more often
Fast food 2+ times / week (6974)
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4063 cases with both
58.3% of cases
30% more often
Burritos (8001)
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4585 cases with both
57.3% of cases
30% more often
Burgers/Hot Dogs (8841)
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5050 cases with both
57.1% of cases
30% more often
Traveler's Diarrhea (1701)
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955 cases with both
56.1% of cases
20% more often
Strep Throat (1657)
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921 cases with both
55.6% of cases
20% more often
Soda / corn syrup (5096)
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2812 cases with both
55.2% of cases
20% more often
No time to cook (5637)
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3083 cases with both
54.7% of cases
20% more often
Candy (7492)
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4065 cases with both
54.3% of cases
20% more often
Refined flours (10936)
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5885 cases with both
53.8% of cases
20% more often
Pizza (15366)
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8274 cases with both
53.8% of cases
20% more often
Rarely cook (6054)
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3253 cases with both
53.7% of cases
20% more often
2039 cases with both
53.7% of cases
20% more often
8292 cases with both
53.4% of cases
20% more often
Need constant social activity (1756)
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938 cases with both
53.4% of cases
20% more often
2661 cases with both
53.4% of cases
20% more often
Sandwiches (13526)
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7198 cases with both
53.2% of cases
20% more often
Food is romantic / passionate (9067)
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4827 cases with both
53.2% of cases
20% more often
Food Poisoning (1032)
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547 cases with both
53% of cases
20% more often
Indiscriminate eating (3113)
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1650 cases with both
53% of cases
20% more often
Canned/frozen food (13186)
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6979 cases with both
52.9% of cases
20% more often
Fatty fried food (11744)
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6209 cases with both
52.9% of cases
20% more often
Iced/cold drinks (14492)
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7659 cases with both
52.8% of cases
20% more often
Refined sugar (13447)
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7027 cases with both
52.3% of cases
20% more often
Blisters (609)
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318 cases with both
52.2% of cases
20% more often
Don't know how to cook (2322)
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1213 cases with both
52.2% of cases
20% more often
1844 cases with both
52.1% of cases
20% more often
Tight clothing / belts (3919)
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2036 cases with both
52% of cases
20% more often
Dessert after meals (11160)
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5793 cases with both
51.9% of cases
10% more often
2985 cases with both
51.9% of cases
10% more often
Search for perfect bite (3999)
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2076 cases with both
51.9% of cases
10% more often
Old food in fridge (7819)
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4049 cases with both
51.8% of cases
10% more often
Implant / Prosthesis (787)
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407 cases with both
51.7% of cases
10% more often
Croup (176)
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91 cases with both
51.7% of cases
10% more often
Liposuction (652)
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337 cases with both
51.7% of cases
10% more often
Prefer urban landscape (5866)
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3026 cases with both
51.6% of cases
10% more often
Chronic Peeling Skin (1173)
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602 cases with both
51.3% of cases
10% more often
Impulsive / extroverted (5201)
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2663 cases with both
51.2% of cases
10% more often
Eating after midnight (3846)
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1964 cases with both
51.1% of cases
10% more often
Eating without realizing it (4049)
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2069 cases with both
51.1% of cases
10% more often
Use microwave (3857)
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1966 cases with both
51% of cases
10% more often
Frequent Nose Bleeds (1500)
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765 cases with both
51% of cases
10% more often
Binging more than 1x monthly (5063)
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2576 cases with both
50.9% of cases
10% more often
Frequent Leftovers (14905)
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7592 cases with both
50.9% of cases
10% more often
Dirty clothes on floor (8183)
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4153 cases with both
50.8% of cases
10% more often
1380 cases with both
50.8% of cases
10% more often
Manic / giddy (2385)
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1206 cases with both
50.6% of cases
10% more often
1840 cases with both
50.6% of cases
10% more often
Preoccupied with sex / lust (2530)
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1279 cases with both
50.6% of cases
10% more often
Red meat (14935)
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7548 cases with both
50.5% of cases
10% more often
Overeat more than 2x/week (8274)
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4170 cases with both
50.4% of cases
10% more often
Poor diet (11384)
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5711 cases with both
50.2% of cases
10% more often
Pliable / elastic skin (6272)
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3150 cases with both
50.2% of cases
10% more often
Venereal Disease (781)
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391 cases with both
50.1% of cases
10% more often
Herpes - Mouth / Facial (3056)
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1530 cases with both
50.1% of cases
10% more often
Don't enjoy cooking (6389)
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3204 cases with both
50.1% of cases
10% more often
Underdressed for cold weather (3757)
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1881 cases with both
50.1% of cases
10% more often
Frequent Hiccup (2477)
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1239 cases with both
50% of cases
10% more often
2097 cases with both
50% of cases
10% more often
3302 cases with both
49.9% of cases
10% more often
Scars (Past) (10320)
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5149 cases with both
49.9% of cases
10% more often
Sun damage/burn (6640)
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3311 cases with both
49.9% of cases
10% more often
Artificial sweeteners (8589)
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4284 cases with both
49.9% of cases
10% more often
Peanuts (12504)
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6227 cases with both
49.8% of cases
10% more often
Yellow mucus (3355)
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1670 cases with both
49.8% of cases
10% more often
Exercising as punishment (2175)
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1083 cases with both
49.8% of cases
10% more often
Have step children (2052)
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1021 cases with both
49.8% of cases
10% more often
Green mucus (1730)
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860 cases with both
49.7% of cases
10% more often
Sinus pain in cheeks (4378)
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2176 cases with both
49.7% of cases
10% more often
Acne - painful (1966)
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978 cases with both
49.7% of cases
10% more often
Eat when lonely / depressed (9688)
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4812 cases with both
49.7% of cases
10% more often
Variety in food is fun (24158)
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12004 cases with both
49.7% of cases
10% more often
Low fiber diet (4548)
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2261 cases with both
49.7% of cases
10% more often
Tickle in nose (3451)
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1715 cases with both
49.7% of cases
10% more often
Exercising when emotional (5575)
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2773 cases with both
49.7% of cases
10% more often
2490 cases with both
49.6% of cases
10% more often
Tuberculosis/TB (135)
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67 cases with both
49.6% of cases
10% more often
Love tropical climates (13599)
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6748 cases with both
49.6% of cases
10% more often
Hiding wrappers / packaging (4619)
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2289 cases with both
49.6% of cases
10% more often
Cough with mucus / wet cough (3294)
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1629 cases with both
49.5% of cases
10% more often
Calluses (5116)
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2530 cases with both
49.5% of cases
10% more often
Workaholic (5855)
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2897 cases with both
49.5% of cases
10% more often
Inguinal hernia (411)
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203 cases with both
49.4% of cases
10% more often
White vaginal discharge (9653)
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4773 cases with both
49.4% of cases
10% more often
1254 cases with both
49.4% of cases
10% more often
Frequent snacking (16139)
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7965 cases with both
49.4% of cases
10% more often
Vaginal discharge (11456)
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5658 cases with both
49.4% of cases
10% more often
Sinus Infection (5489)
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2706 cases with both
49.3% of cases
10% more often
4574 cases with both
49.3% of cases
10% more often
Diet pills, gums (5926)
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2922 cases with both
49.3% of cases
10% more often
Red dots on tongue (3391)
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1667 cases with both
49.2% of cases
10% more often
Yellow vaginal discharge (1950)
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960 cases with both
49.2% of cases
10% more often
Snot / dried mucus (6731)
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3311 cases with both
49.2% of cases
10% more often
People who report Eat out when traveling were likely to report the following:
6572 cases with both
+1.8 times more likely
38% of cases
21.59% (13,471 cases)
Slow, heavy digestion ![]()
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6897 cases with both
+1.7 times more likely
40% of cases
22.89% (21,898 cases)
546 cases with both
+1.7 times more likely
3% of cases
1.74% (1,259 cases)
Abdominal surgery ![]()
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608 cases with both
+1.6 times more likely
4% of cases
2.47% (1,336 cases)
Restricting Food Intake ![]()
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7246 cases with both
+1.5 times more likely
42% of cases
28.12% (15,613 cases)
Artificial sweeteners ![]()
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4284 cases with both
+1.5 times more likely
25% of cases
17.04% (8,589 cases)
Fatty fried food ![]()
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6209 cases with both
+1.4 times more likely
36% of cases
25.49% (11,744 cases)
Eat out on work days ![]()
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4421 cases with both
+1.4 times more likely
25% of cases
17.88% (6,529 cases)
Frequent travel ![]()
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2166 cases with both
+1.4 times more likely
12% of cases
8.62% (2,968 cases)
Burgers/Hot Dogs ![]()
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5050 cases with both
+1.4 times more likely
29% of cases
20.98% (8,841 cases)
Long workday ![]()
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6903 cases with both
+1.4 times more likely
40% of cases
28.99% (22,260 cases)
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Fast food 2+ times / week ![]()
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4063 cases with both
+1.4 times more likely
23% of cases
16.96% (6,974 cases)
Exercising as punishment ![]()
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1083 cases with both
+1.4 times more likely
6% of cases
4.43% (2,175 cases)
Poor diet ![]()
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5711 cases with both
+1.3 times more likely
33% of cases
24.63% (11,384 cases)
Burritos ![]()
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4585 cases with both
+1.3 times more likely
26% of cases
19.55% (8,001 cases)
Canned/frozen food ![]()
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6979 cases with both
+1.3 times more likely
40% of cases
30.1% (13,186 cases)
5496 cases with both
+1.3 times more likely
32% of cases
24.25% (11,960 cases)
Refined flours ![]()
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5885 cases with both
+1.3 times more likely
34% of cases
25.79% (10,936 cases)
Strong hunger ![]()
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8954 cases with both
+1.3 times more likely
52% of cases
39.61% (31,540 cases)
Soda / corn syrup ![]()
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2812 cases with both
+1.3 times more likely
16% of cases
12.21% (5,096 cases)
Conflict makes me restless ![]()
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11732 cases with both
+1.3 times more likely
68% of cases
52.33% (43,701 cases)
Traveler's Diarrhea ![]()
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955 cases with both
+1.3 times more likely
6% of cases
4.64% (1,701 cases)
Pizza ![]()
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8274 cases with both
+1.3 times more likely
48% of cases
37.22% (15,366 cases)
Workaholic ![]()
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2897 cases with both
+1.3 times more likely
17% of cases
13.24% (5,855 cases)
Restaurants 3+ times / week ![]()
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3902 cases with both
+1.3 times more likely
22% of cases
17.15% (6,106 cases)
1239 cases with both
+1.3 times more likely
7% of cases
5.47% (2,548 cases)
Refined sugar ![]()
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7027 cases with both
+1.3 times more likely
41% of cases
32.5% (13,447 cases)
Exercising without eating ![]()
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3683 cases with both
+1.3 times more likely
21% of cases
16.67% (7,501 cases)
Sandwiches ![]()
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7198 cases with both
+1.3 times more likely
41% of cases
32.78% (13,526 cases)
Iced/cold drinks ![]()
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7659 cases with both
+1.3 times more likely
44% of cases
35.19% (14,492 cases)
Candy ![]()
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4065 cases with both
+1.2 times more likely
23% of cases
18.5% (7,492 cases)
Frequent Leftovers ![]()
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7592 cases with both
+1.2 times more likely
44% of cases
35.49% (14,905 cases)
4827 cases with both
+1.2 times more likely
28% of cases
22.61% (9,067 cases)
8292 cases with both
+1.2 times more likely
48% of cases
38.85% (15,540 cases)
Gas, irregular digestion ![]()
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12435 cases with both
+1.2 times more likely
72% of cases
58.32% (47,247 cases)
8863 cases with both
+1.2 times more likely
51% of cases
41.32% (19,304 cases)
Rarely cook ![]()
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3253 cases with both
+1.2 times more likely
19% of cases
15.42% (6,054 cases)
Gain weight easily ![]()
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9414 cases with both
+1.2 times more likely
54% of cases
43.99% (35,031 cases)
Dessert after meals ![]()
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5793 cases with both
+1.2 times more likely
33% of cases
26.89% (11,160 cases)
Low fiber diet ![]()
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2261 cases with both
+1.2 times more likely
13% of cases
10.73% (4,548 cases)
Exercising when emotional ![]()
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2773 cases with both
+1.2 times more likely
16% of cases
13.22% (5,575 cases)
Don't know how to cook ![]()
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1213 cases with both
+1.2 times more likely
7% of cases
5.8% (2,322 cases)
2985 cases with both
+1.2 times more likely
17% of cases
14.21% (5,753 cases)
Compulsive exercising ![]()
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853 cases with both
+1.2 times more likely
5% of cases
4.18% (1,909 cases)
Eating after midnight ![]()
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1964 cases with both
+1.2 times more likely
11% of cases
9.2% (3,846 cases)
7536 cases with both
+1.2 times more likely
43% of cases
36.1% (15,623 cases)
Blisters ![]()
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318 cases with both
+1.2 times more likely
2% of cases
1.68% (609 cases)
Skin growths - other ![]()
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286 cases with both
+1.2 times more likely
2% of cases
1.68% (619 cases)
Red meat ![]()
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7548 cases with both
+1.2 times more likely
44% of cases
37.07% (14,935 cases)
Intense emotions ![]()
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10721 cases with both
+1.2 times more likely
62% of cases
52.25% (42,048 cases)
Short bursts of energy ![]()
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8609 cases with both
+1.2 times more likely
50% of cases
42.15% (34,156 cases)
Irregular/small appetite ![]()
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4892 cases with both
+1.2 times more likely
28% of cases
23.81% (20,509 cases)
Sore eye muscles ![]()
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1130 cases with both
+1.2 times more likely
7% of cases
5.97% (2,328 cases)
Nut allergy ![]()
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436 cases with both
+1.2 times more likely
3% of cases
2.56% (960 cases)
2320 cases with both
+1.2 times more likely
13% of cases
11.1% (5,106 cases)
Don't enjoy cooking ![]()
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3204 cases with both
+1.2 times more likely
18% of cases
15.42% (6,389 cases)
Irregular sleep schedule ![]()
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8603 cases with both
+1.2 times more likely
50% of cases
43.08% (18,870 cases)
Frequent Stress ![]()
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11467 cases with both
+1.2 times more likely
66% of cases
56.87% (25,363 cases)
Anxiety, fear, uncertainty ![]()
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11844 cases with both
+1.2 times more likely
68% of cases
58.66% (47,291 cases)
8420 cases with both
+1.2 times more likely
49% of cases
42.31% (18,003 cases)
5723 cases with both
+1.2 times more likely
33% of cases
28.54% (22,284 cases)
Feel overweight ![]()
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11655 cases with both
+1.2 times more likely
67% of cases
57.96% (25,362 cases)
1545 cases with both
+1.2 times more likely
9% of cases
7.8% (3,400 cases)
Stress affects my digestion ![]()
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9114 cases with both
+1.2 times more likely
53% of cases
45.94% (19,512 cases)
Insomnia ![]()
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6083 cases with both
+1.2 times more likely
35% of cases
30.39% (13,627 cases)
No time to cook ![]()
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3083 cases with both
+1.2 times more likely
18% of cases
15.63% (5,637 cases)
Variety in food is fun ![]()
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12004 cases with both
+1.2 times more likely
69% of cases
60% (24,158 cases)
Food is comfort ![]()
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11456 cases with both
+1.1 times more likely
66% of cases
57.43% (23,448 cases)
7315 cases with both
+1.1 times more likely
42% of cases
36.59% (15,443 cases)
Lack of exercise ![]()
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11178 cases with both
+1.1 times more likely
64% of cases
55.76% (24,585 cases)
Pain lower back ![]()
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8883 cases with both
+1.1 times more likely
51% of cases
44.53% (19,881 cases)
Citrus allergy ![]()
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264 cases with both
+1.1 times more likely
2% of cases
1.75% (670 cases)
Peanuts ![]()
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6227 cases with both
+1.1 times more likely
36% of cases
31.66% (12,504 cases)
Wide, Heavy Hips ![]()
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5189 cases with both
+1.1 times more likely
30% of cases
26.4% (20,459 cases)
262 cases with both
+1.1 times more likely
2% of cases
1.76% (575 cases)
10689 cases with both
+1.1 times more likely
62% of cases
54.66% (42,924 cases)
Feel stuck ![]()
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5821 cases with both
+1.1 times more likely
34% of cases
29.98% (12,640 cases)
Wheat ![]()
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8152 cases with both
+1.1 times more likely
47% of cases
41.45% (16,659 cases)
Purging Food ![]()
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1310 cases with both
+1.1 times more likely
8% of cases
7.06% (2,856 cases)
Dark Yellow Urine ![]()
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5143 cases with both
+1.1 times more likely
30% of cases
26.48% (10,665 cases)
Spicy food ![]()
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8243 cases with both
+1.1 times more likely
48% of cases
42.42% (16,819 cases)
Caring, calm, patient ![]()
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8020 cases with both
+1.1 times more likely
46% of cases
40.69% (32,300 cases)
1254 cases with both
+1.1 times more likely
7% of cases
6.2% (2,537 cases)
Bloody stools ![]()
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490 cases with both
+1.1 times more likely
3% of cases
2.66% (1,021 cases)
Frequent snacking ![]()
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7965 cases with both
+1.1 times more likely
46% of cases
40.79% (16,139 cases)
Few leafy greens ![]()
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6886 cases with both
+1.1 times more likely
40% of cases
35.51% (14,637 cases)
5408 cases with both
+1.1 times more likely
31% of cases
27.54% (21,522 cases)
Chocolate ![]()
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10275 cases with both
+1.1 times more likely
59% of cases
52.43% (21,019 cases)
Eye surgery ![]()
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1302 cases with both
+1.1 times more likely
8% of cases
7.11% (2,708 cases)
Tense muscles when stressed ![]()
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4184 cases with both
+1.1 times more likely
24% of cases
21.33% (9,005 cases)
Irregular meal times ![]()
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10148 cases with both
+1.1 times more likely
59% of cases
52.47% (21,155 cases)
Dry, dark, frizzy hair ![]()
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5818 cases with both
+1.1 times more likely
34% of cases
30.27% (24,799 cases)
Water after meals ![]()
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7883 cases with both
+1.1 times more likely
45% of cases
40.08% (16,151 cases)
Intermittent abdominal pain ![]()
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3290 cases with both
+1.1 times more likely
19% of cases
16.93% (6,963 cases)
Sharp language ![]()
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7960 cases with both
+1.1 times more likely
46% of cases
41.08% (32,070 cases)
Meat every day ![]()
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8112 cases with both
+1.1 times more likely
47% of cases
41.98% (16,723 cases)
Food Poisoning ![]()
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547 cases with both
+1.1 times more likely
3% of cases
2.68% (1,032 cases)
Rarely Thirsty ![]()
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5084 cases with both
+1.1 times more likely
29% of cases
25.96% (20,226 cases)
Herpes - Mouth / Facial ![]()
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1530 cases with both
+1.1 times more likely
9% of cases
8.06% (3,056 cases)
Kidney Infection ![]()
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790 cases with both
+1.1 times more likely
5% of cases
4.49% (1,649 cases)
8950 cases with both
+1.1 times more likely
52% of cases
46.72% (34,930 cases)
HOW AYURVEDA WORKS
ARE YOU WONDERING HOW AYURVEDA CAN HELP YOU?
WHY IS AYURVEDA THE RIGHT SOLUTION?
Ayurveda strengthens the body while opposing disorders. It takes a holistic,
systemic approach that looks at the whole body. Ayurveda
shows how to interpret signs and symptoms of imbalance, and how to address them
using diet, lifestyle adjustments, and herbs. It shows a person how to optimize their health on a continual basis. You can't
take the doctor home with you, but you can take Ayurveda home with you.
Ayurveda is the most advanced and easy to use home system for self healing.
HOW DOES AYURVEDA WORK?
Ayurveda starts by identifying your
body type,
which identifies certain tendencies in your body to get sick (as well as identifying your strengths).
It uses body type to determine the likely root causes of your disorders.
Next, Ayurveda analyzes the nature of your disorder.
It fits all your signs and symptoms into a pattern, expressed as a combination of
biocharacteristics (gunas).
For example, you may have a heat disorder, a cold disorder, or an oily disorder, etc.
This simple categorical approach shows you how to correct systemic imbalances and strengthen your body as a whole.
On Joyful Belly, we've created an extensive categorization of food so you can easily match food to your imbalanced biocharacteristics.
By eating an optimal diet that balances your biocharacteristics, your whole body is strengthened
and the conditions that created the disorder are removed. Once the root causes of the disease
are removed, the disease lessens in strength or disappears altogether. Additional remedies -
such as herbs and lifestyle practices - focused on the specific disorder, can greatly enhance
your healing.
GET STARTED
To get started on your Ayurvedic journey, we first recommend that your find your body
type by taking our free quiz. In Ayurveda, every solution is based on your unique body type, so
by taking this quiz, you’ll get the best results.
FIND YOUR BODY TYPE