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Record W2804707532 · doi:10.7939/r32j68h09

The Social and Psychological Well-Being of Vegetarians: A Focused Ethnography

2017· article· en· W2804707532 on OpenAlexaboutno aff
Jacqueline Torti

Bibliographic record

VenueUniversity of Alberta Library · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyPsychologySocial psychologySociologyAnthropology

Abstract

fetched live from OpenAlex

Background: A vegetarian is a person who refrains from eating any type of animal flesh. Research has been established on the physical health implications of adopting a vegetarian diet. However, to date, there has been no qualitative study exploring social and psychological well-being of vegetarians. Purpose: The purpose of this thesis was a) to provide a systematic review of the existing studies on the psychological well-being of vegetarians and b) to conduct original research that further explored the following: i) vegetarians’ rationales for adopting their diet, ii) their self-perceived social well-being, and, iii) their self-perceived psychological well-being. Methods: a) The systematic review involved searching several databases for primary research studies that examined the psychological well-being of vegetarians. Titles and abstracts were screened for relevance to the review and then full texts of those articles considered potentially relevant were screened. The quality of the selected studies was assessed using Health Evidence Bulletins (Wales) questions to assist with the critical appraisal of an observational study. b) After a pilot study was conducted, a focused ethnographic approach was utilized to conduct this research. Data were collected through 19 individual interviews, three focus groups, as well as a series of participant observations at several vegan- and vegetarian-association events in Alberta. Interviews and focus groups were tape recorded and transcribed verbatim, fieldnotes were taken during participant observations and materials were collected. Data were then analyzed using qualitative content analysis. Results: a) After reviewing our search for relevant articles, seven studies were identified for inclusion in this study- all of which were cross-sectional. One study had low risk and one study had moderate risk of bias (both reported poorer health in vegetarians). Five studies (with inconsistent findings) had high risk of bias. Most differences in mental health measures were small and of doubtful clinical significance. b) Individuals decided to become vegetarian for a variety of reasons including improved personal health, improved animal welfare, and reduced environmental impact through diet. Vegetarians experienced many social challenges, including being teased and dealing with unsupportive friends and family, which could pose a threat to their social well-being. However, vegetarians also experienced many psychological rewards including a sense of pride and peace of mind knowing their values aligned with their actions. Conclusion: There is little available evidence on the psychological well-being of vegetarians. Most studies have high risk of bias, and the evidence that does exist is inconsistent, although the higher quality studies suggest poorer psychological well-being among vegetarians. Further research is needed to investigate whether a causal relationship exists between vegetarianism and mental health. Individuals become vegetarian for a variety of reasons. Others may not agree with their diet choice and this can affect their self-perceived social well-being. However, the self-perceived benefits to psychological well-being associated with adopting a vegetarian diet seem to outweigh any of the perceived threats to their social well-being.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.199
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2017
Admission routes1
Has abstractyes

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