| Literature DB >> 30583521 |
Katharina Wirnitzer1,2, Patrick Boldt3, Christoph Lechleitner4, Gerold Wirnitzer5, Claus Leitzmann6, Thomas Rosemann7, Beat Knechtle8.
Abstract
Health effects of vegetarian and vegan diets are well known. However, data is sparse in terms of their appropriateness for the special nutritional demands of endurance runners. Therefore, the aim of this study was to investigate the health status of vegetarian (VER) and vegan endurance runners (VGR) and compare it to omnivorous endurance runners (OR). A total of 245 female and male recreational runners completed an online survey. Health status was assessed by measuring health-related indicators (body weight, mental health, chronic diseases, and hypersensitivity reactions, medication intake) and health-related behavior (smoking habits, supplement intake, food choice, healthcare utilization). Data analysis was performed by using non-parametric ANOVA and MANOVA. There were 109 OR, 45 VER and 91 VGR. Significant differences (p < 0.05) were determined for the following findings: (i) body weight for VER and VGR was less than for OR, (ii) VGR had highest food choice scores, and (iii) VGR reported the lowest prevalences of allergies. There was no association (p > 0.05) between diet and mental health, medication intake, smoking habits, supplement intake, and healthcare utilization. These findings support the notion that adhering to vegetarian kinds of diet, in particular to a vegan diet, is associated with a good health status and, thus, at least an equal alternative to an omnivorous diet for endurance runners.Entities:
Keywords: half-marathon; health conscious; marathon; recreational athlete; running; vegan; vegetarian
Mesh:
Year: 2018 PMID: 30583521 PMCID: PMC6356807 DOI: 10.3390/nu11010029
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Anthropometric and demographic characteristics of the subjects displayed by diet group.
| Omnivorous | Vegetarian | Vegan | ||
|---|---|---|---|---|
|
| 100% (109) | 100% (45) | 100% (91) | |
|
| Female | 47% (51) | 58% (26) | 70% (64) |
| Male | 53% (58) | 42% (19) | 30% (27) | |
|
| 43 (IQR 18) | 39 (IQR 16) | 37 (IQR 15) | |
|
| 68 (IQR 16.7) | 62 (IQR 11.3) | 64 (IQR 10) | |
|
| ≤18.49 | 4% (4) | 7% (3) | 9% (8) |
| 18.50–24.99 | 80% (87) | 87% (39) | 82% (75) | |
| ≥25–29.99 | 17% (18) | 7% (3) | 9% (8) | |
|
| 10 km | 34% (37) | 33% (15) | 43% (39) |
| Half-marathon | 36% (39) | 44% (20) | 33% (30) | |
| Marathon/Ultramarathon | 30% (33) | 22% (10) | 24% (22) | |
|
| No Qualification | 0% (0) | 0% (0) | 1% (1) |
| Upper Secondary Education/Technical Qualification/GCSE or Equivalent | 38% (41) | 38% (17) | 27% (25) | |
| A Levels or Equivalent | 24% (26) | 16% (7) | 22% (20) | |
| University Degree/Higher Degree (i.e., doctorate) | 30% (33) | 38% (17) | 36% (33) | |
| No Answer | 8% (9) | 9% (4) | 13% (12) | |
|
| Divorced/Separated | 3% (3) | 4% (2) | 11% (10) |
| Married/Living with Partner | 75% (82) | 58% (26) | 62% (56) | |
| Single | 22% (24) | 38% (17) | 27% (25) | |
|
| Austria | 21% (23) | 18% (8) | 14% (13) |
| Germany | 70% (76) | 76% (34) | 74% (67) | |
| Switzerland | 7% (8) | 4% (2) | 3% (3) | |
| Other | 2% (2) | 2% (1) | 9% (8) | |
|
| Health, wellbeing | 81% (21) | 85% (28) | 90% (79) |
| Sporting performance | 54% (14) | 33% (11) | 59% (52) | |
| Food scandals | 15% (4) | 55% (18) | 32% (28) | |
| Animal welfare | 46% (12) | 79% (26) | 90% (79) | |
| Ecological aspects | 50% (13) | 76% (25) | 83% (73) | |
| Social aspects | 35% (9) | 55% (18) | 57% (50) | |
| Economic aspects | 8% (2) | 12% (4) | 22% (19) | |
| Religion/spirituality | 0% (0) | 12% (4) | 7% (6) | |
| Custom/tradition | 15% (4) | 0% (0) | 2% (2) | |
| Taste/enjoyment | 42% (11) | 33% (11) | 44% (39) | |
| No specific reason | 4% (1) | 0% (0) | 0% (0) | |
10 km = 10-km control group. BMICALC = Body Mass Index (calculated). IQR = interquartile range.
Scheme 1Categorization of participants.
Scheme 2Flow chart of participants’ enrollment.
Overview of the variables in order to derive health status of endurance runners.
| Cluster | Dimension | Indicator | Item | Measure |
|---|---|---|---|---|
|
| BMIcalc 1 | Your current body weight (kg)? | Body weight (kg) | |
| Your height (m)? | Height (m) | |||
|
| Stress perception | Are you under pressure and/or are you suffering from stress? | Yes | |
|
| Cardiovascular diseases and Cancer | Are you currently suffering from the following chronic diseases or their direct consequences? | Heart disease requiring treatment | |
| Metabolic diseases | Are you currently suffering from one of the following metabolic disease(s)? | Diabetes mellitus type 1 | ||
| Hypersensitivity reactions | Are you currently suffering from ...? | Allergies | ||
|
| Do you take medicaments regularly (every day), for example, ...? | Thyroid | ||
|
|
| Current consumption | Do you currently smoke? | Yes |
| Former consumption | Have you ever smoked? | Yes | ||
|
| Substance intake for medical reasons | Do you take supplements prescribed by a doctor regularly (everyday)? | Yes | |
| Intake of Performance enhancement substance | Do you take anything to boost your performance | Yes, regularly every day | ||
| Substance intake for stress coping | Do you take anything to help you cope with stress in your daily life, at work or while doing sport? | Yes, regularly every day | ||
|
| Motivation for food choice | Do you choose ingredients and food on the basis Of the following (e.g., in view of the disease mentioned above or other illnesses)? | Healthy (e.g., if you are ill) | |
| Avoided ingredients | Do you choose food in order to avoid particular ingredients or nutrients (e.g., in view of the diseases mentioned above or other illnesses or effects on health)? | Refined sugar | ||
| Desired ingredients | Do you choose food because of particular valuable ingredients or nutrients (e.g., to prevent the diseases mentioned above or other illnesses or effects on health)? | Vitamins | ||
|
| Frequency of doctor consultations | How often have you seen a doctor in the last 12 months (except dentist and for routine check-ups)? | Never | |
| Utilization of regular health check-ups | Do you go for regular check-ups or routine health checks? | Yes |
1 BMICALC = Body Mass Index calculated.
Descriptive results and ANOVA of the ‘Health-Related Indicators’ cluster.
| Dimension | Omnivorous | Vegetarian | Vegan | Statistics |
|---|---|---|---|---|
|
| ||||
| Body Weight (kg) (median) | 68.00 (IQR 16.70) | 62.00 (IQR 11.30) | 64.00 (IQR 10.00) | F(2, 242) = 6.86, |
| BMICALC | ||||
| ≤18.49 | 4% (4) | 7% (3) | 9% (8) | |
| 18.50–24.99 | 80% (87) | 87% (39) | 82% (75) | |
| ≥25–29.99 | 17% (18) | 7% (3) | 9% (8) | |
|
| ||||
| Stress Perception | ||||
| Yes | 36% (35) | 46% (18) | 34% (29) | |
| No | 64% (63) | 54% (21) | 66% (56) | |
|
| ||||
| Prevalence of Chronic Diseases | ||||
| Heart Disease | 1% (1) | |||
| Heart Attack | ||||
| Cancer | 1% (1) | |||
| No Diseases | 99% (97) | 100% (39) | 99% (84) | |
| Prevalence of Metabolic Diseases | ||||
| Diabetes Mellitus 1 | 1% (1) | 3% (1) | ||
| Diabetes Mellitus 2 | 2% (2) | |||
| Hyperthyroidism | 1% (1) | 3% (1) | 1% (1) | |
| Hypothyroidism | 5% (5) | 3% (1) | 8% (7) | |
| Other Diseases | 1% (1) | 1% (1) | ||
| No Diseases | 90% (88) | 92% (36) | 89% (76) | |
| Prevalence of Hypersensitivity Reactions | ||||
| Allergies | 32% (31) | 36% (14) | 20% (17) | |
| Intolerances | 1% (1) | 10% (4) | 12% (10) | |
| No Reactions | 67% (66) | 54% (21) | 68% (58) | |
|
| ||||
| Thyroid Disease | 6% (6) | 8% (3) | 11% (9) | |
| Hypertension | 5% (5) | 3% (1) | ||
| Cholesterol Level | ||||
| Other Medication | 5% (5) | 5% (4) | ||
| No Medication | 84% (82) | 90% (35) | 85% (72) | |
| Contraceptives | 12% (12) | 10% (4) | 15% (13) | |
BMICALC = Body Mass Index (calculated). IQR = interquartile range.
Figure 1Indices of both clusters ‘Health-Related Indicators’ and ‘Health-Related Behavior’ of female and male endurance runners, displayed by dietary subgroups (as percentage, %). Low scores indicate detrimental health effects, high scores indicate beneficial health effects.
Descriptive results and ANOVA of the ‘Health-Related Behavior’ cluster.
| Dimension | Omnivorous | Vegetarian | Vegan | Statistics |
|---|---|---|---|---|
|
| ||||
| Non-Smoker | 58% (57) | 72% (28) | 54% (46) | |
| Ex-Smoker | 40% (39) | 23% (9) | 46% (39) | |
| Smoker | 2% (2) | 5% (2) | ||
|
| ||||
| prescribed by doctor | 8% (8) | 10% (4) | 6% (5) | |
| to boost your performance (occasionally) | 10% (10) | 21% (8) | 11% (9) | |
| to boost your performance (regularly) | 3% (3) | 0 % (0) | 2% (2) | |
| to cope with stress (occasionally) | 5% (5) | 5% (2) | 8% (7) | |
| to cope with stress (regularly) | 2% (2) | 2% (2) | ||
|
| ||||
| Motivation | ||||
| because it is healthy | 67% (66) | 74% (29) | 75% (64) | |
| because it is health-promoting | 81% (79) | 79% (31) | 88% (75) | |
| because it is good for maintaining health | 85% (83) | 92% (36) | 95% (81) | |
| Avoided Ingredients | ||||
| Refined Sugar | 62% (61) | 56% (22) | 73% (62) | |
| Sweetener | 74% (73) | 59% (23) | 80% (68) | |
| Fat in General | 39% (38) | 46% (18) | 49% (42) | |
| Saturated Fats | 53% (52) | 46% (18) | 72% (61) | |
| Cholesterol | 34% (33) | 31% (12) | 65% (55) | |
| White Flour | 64% (63) | 59% (23) | 74% (63) | |
| Sweets | 58% (57) | 62% (24) | 69% (59) | |
| Nibbles | 62% (61) | 59% (23) | 62% (53) | |
| Alcohol | 55% (54) | 51% (20) | 56% (48) | |
| Caffeine | 26% (25) | 36% (14) | 46% (39) | |
| Desired Ingredients | ||||
| Vitamins | 81% (79) | 72% (28) | 86% (73) | |
| Minerals/Trace Elements | 70% (69) | 72% (28) | 75% (64) | |
| Antioxidants | 47% (46) | 44% (17) | 60% (51) | |
| Phytochemicals | 42% (41) | 31% (12) | 59% (50) | |
| Fiber | 68% (67) | 62% (24) | 75% (64) | |
|
| ||||
| Regular check-ups or routine health checks | 54% (53) | 49% (19) | 61% (52) | |
Results of the MANOVA considering health status.
| Cluster | Dimension | Subgroup | F | Df |
|
|---|---|---|---|---|---|
|
|
| Diet | 0.75 | 2 | 0.475 |
| Race Distance | 0.49 | 2 | 0.613 | ||
| Sex | 0.62 | 1 | 0.432 | ||
|
| Diet | 0.91 | 2 | 0.402 | |
| Race Distance | 3.39 | 2 | 0.036 | ||
| Sex | 4.06 | 1 | 0.045 | ||
|
| Diet | 0.49 | 2 | 0.611 | |
| Race Distance | 3.27 | 2 | 0.040 | ||
| Sex | 0.77 | 1 | 0.381 | ||
|
| Diet | 0.41 | 2 | 0.665 | |
| Race Distance | 0.15 | 2 | 0.859 | ||
| Sex | 1.06 | 1 | 0.304 | ||
|
|
| Diet | 0.80 | 2 | 0.451 |
| Race Distance | 1.78 | 2 | 0.172 | ||
| Sex | 4.22 | 1 | 0.041 | ||
|
| Diet | 0.14 | 2 | 0.866 | |
| Race Distance | 0.93 | 2 | 0.395 | ||
| Sex | 1.91 | 1 | 0.168 | ||
|
| Diet | 6.10 | 2 | 0.003 | |
| Race Distance | 1.11 | 2 | 0.331 | ||
| Sex | 0.08 | 1 | 0.779 | ||
|
| Diet | 0.96 | 2 | 0.385 | |
| Race Distance | 1.52 | 2 | 0.222 | ||
| Sex | 2.14 | 1 | 0.145 |
F = F-value. Df = Degrees of freedom. p = p-value for difference among groups.