| Literature DB >> 30254747 |
Anthony J Basile1,2, David B Schwartz3, Joseph Rigdon4, Hamilton Stapell5.
Abstract
LAYEntities:
Keywords: dietetics; evolutionary medicine; interdisciplinary approaches; nutrition
Year: 2018 PMID: 30254747 PMCID: PMC6146772 DOI: 10.1093/emph/eoy022
Source DB: PubMed Journal: Evol Med Public Health ISSN: 2050-6201
Participant demographics
| Students ( | Professionals ( | ||||
|---|---|---|---|---|---|
| Age | Mean | SD | Age | Mean | SD |
| 25 | 6.3 | 44 | 13.1 | ||
| Gender ( | Gender ( | ||||
| Female | 92% | Female | 96% | ||
| Male | 8% | Male | 4% | ||
| Educational program ( | Professional title ( | ||||
| Undergraduate | 53% | Registered dietitian nutritionist | 98% | ||
| Graduate | 20% | ||||
| Dietetic technician, registered | 2% | ||||
| Dietetic intern | 28% | ||||
| Regional location ( | Regional location ( | ||||
| Northeast | 23% | Northeast | 28% | ||
| South | 23% | South | 28% | ||
| Midwest | 30% | Midwest | 21% | ||
| West | 24% | West | 23% | ||
Participant’s evolution definition word/phrase frequency query
| Word/Phrase included in definition | Students ( | Professionals ( | Total ( |
|---|---|---|---|
| Change | 35% | 39% | 37% |
| Time | 42% | 37% | 40% |
| Survival | 32% | 34% | 33% |
| Adapt | 32% | 34% | 33% |
| ‘Natural Selection’ | 12% | 10% | 11% |
| ‘Survival of the Fittest’ | 10% | 9% | 9% |
| ‘Change Over Time’ | 6% | 5% | 6% |
Word stems used in search:
Change: change, changed, changes, changing.
Time: time, times.
Survival: survival, survive, survived, survives, surviving.
Adapt: adapt, adaptability, adaptable, adaptation, adapted, adapting, adaptive, adapts.
Evolutionary medicine’s applicability to the field of nutrition and dietetics
| Strongly Agree (%) | Agree (%) | Neutral (%) | Disagree (%) | Strongly Disagree (%) | Mean | SD | |
|---|---|---|---|---|---|---|---|
| An understanding of evolution can aid in the field of nutrition and dietetics. | |||||||
| 15 | 44 | 31 | 8 | 3 | 2.41 | 0.93 | |
| Incorporating an evolutionary perspective on health and disease would be beneficial in dietetics education. | |||||||
| 9 | 42 | 33 | 9 | 4 | 2.54 | 0.91 | |
| When trying to understand the pathology of a disease, it is equally important to understand both the ultimate (evolutionary) and proximate (direct) cause of the disease. | |||||||
| 18 | 53 | 24 | 4 | 1 | 2.17 | 0.81 | |
| Summed mean | SD | ||||||
| 2.37 | 0.88 | ||||||
Differences in response by participant’s religious belief
| Evolution without god guidance | God-guided evolution | God made humans 10 000 yrs. Ago | Total | ||
|---|---|---|---|---|---|
| How familiar are you with the field of evolutionary medicine, also known as Darwinian or ancestral medicine? | |||||
| Very familiar | 9.20% | 5.50% | 4.70% | 6.50% | <0.0001 |
| Somewhat | 51.70% | 52.60% | 43.60% | 50.20% | |
| Not at all | 39.20% | 42.00% | 51.70% | 43.30% | |
| I am knowledgeable of the theory of evolution. | |||||
| Mean (SD) | 2.2 (±0.9) | 2.6 (±1.0) | 2.6 (±0.9) | 2.5 (±1.0) | <0.0001 |
| When trying to understand the pathology of a disease, it is equally important to understand both the ultimate (evolutionary) and proximate (direct) cause of the disease. | |||||
| Mean and SD | 2.0 (±0.7) | 2.1 (±0.7) | 2.5 (±0.9) | 2.2 (±0.8) | <0.0001 |
| An understanding of evolution can aid in the field of nutrition and dietetics. | |||||
| Mean and SD | 2.0 (±0.8) | 2.3 (±0.8) | 3.2 (±1.0) | 2.4 (±0.9) | <0.0001 |
| Incorporating an evolutionary perspective on health and disease would be beneficial in dietetics education. | |||||
| Mean and SD | 2.3 (±0.8) | 2.4 (±0.8) | 3.3 (±1.0) | 2.5 (±0.9) | <0.0001 |
| How likely are you to provide an evolutionary explanation of a condition or a disease to a patient or client? | |||||
| Mean and SD | 3.1 (±1.0) | 3.3 (±1.0) | 3.9 (±1.0) | 3.4 (±1.1) | <0.0001 |
| Scenario: How likely would you be to think of an evolutionary-based explanation? | |||||
| Mean and SD | 3.2 (±1.2) | 3.2 (±1.2) | 3.6 (±1.2) | 3.3 (±1.2) | <0.0001 |
| Scenario: How likely would you be to provide an evolutionary-based explanation? | |||||
| Mean and SD | 3.4 (±1.1) | 3.4 (±1.1) | 3.9 (±1.1) | 3.5 (±1.1) | <0.0001 |
*P-values from Fisher's exact test. For ease of presentation, some questions presented as mean (±SD) of Likert scale (1-strongly agree, 5-strongly disagree), but null hypothesis that categorical question answer was not associated with participant's religious belief still tested by Fisher's exact test.
Difference in response by participant’s prior evolutionary knowledge
| Strongly agree | Agree | Neutral | Disagree | Strongly disagree | Total | ||
|---|---|---|---|---|---|---|---|
| How much information about the theory of evolution has been presented to you in your program's coursework? | |||||||
| Mean and SD | 2.7 (±1.4) | 2.8 (±1.3) | 2.9 (±1.2) | 3.2 (±1.1) | 3.7 (±0.6) | 2.9 (±1.3) | <0.0001 |
| The field of nutrition and dietetics can benefit from incorporating outside fields of study. | |||||||
| Mean and SD | 1.4 (±0.6) | 1.6 (±0.7) | 1.6 (±0.7) | 1.6 (±0.6) | 1.6 (±0.8) | 1.6 (±0.7) | <0.0001 |
| When trying to understand the pathology of a disease, it is equally important to understand both the ultimate (evolutionary) and proximate (direct) cause of the disease. | |||||||
| Mean and SD | 1.9 (±0.9) | 2.2 (±0.8) | 2.3 (±0.8) | 2.3 (±0.8) | 2.6 (±0.8) | 2.2 (±0.8) | <0.0001 |
| An understanding of evolution can aid in the field of nutrition and dietetics. | |||||||
| Mean and SD | 1.9 (±0.9) | 2.4 (±1.0) | 2.5 (±0.8) | 2.6 (±0.8) | 2.7 (±0.9) | 2.4 (±0.9) | <0.0001 |
| Incorporating an evolutionary perspective on health and disease would be beneficial in dietetics education. | |||||||
| Mean and SD | 2.2 (±1.0) | 2.5 (±0.9) | 2.7 (±0.8) | 2.7 (±0.8) | 3.0 (±0.9) | 2.5 (±0.9) | <0.0001 |
| How likely are you to provide an evolutionary explanation of a condition or a disease to a patient or client? | |||||||
| Mean and SD | 2.9 (±1.2) | 3.3 (±1.1) | 3.5 (±1.0) | 3.7 (±0.9) | 3.9 (±1.0) | 3.4 (±1.1) | <0.0001 |
*P-values from Fisher's exact test. For ease of presentation, questions presented as mean (±SD) of Likert scale (1- strongly agree, 5- strongly disagree), but null hypothesis that categorical question answer was not associated with participant's prior evolutionary knowledge still tested by Fisher's exact test.