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The Effects of Omega 3 Supplementation on Reducing the Neuropathy Pain Symptoms in Hispanics with Type‐2 Diabetes

2016· article· en· W2402094481 on OpenAlexaboutno aff
W. Lawrence Beeson, Ivette Perez‐Paquien, Anthony Firek, Zaida Cordero‐MacIntyre, Marino De León

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsMedicineType 2 diabetesPhysical therapyDiabetes mellitusMcGill Pain QuestionnaireType 2 Diabetes MellitusTest (biology)Visual analogue scale

Abstract

fetched live from OpenAlex

Objective To determine the effects the including omega 3 fatty acids supplement on neuropathy pain symptoms among Hispanics with type‐2 diabetes. Methods Hispanic patients with type −2 diabetes (males n=16, females (n=24) were recruited from local community organizations. Participants were enrolled in EN BALANCE PLUS, three‐month culturally sensitive diabetes education program. As part of the program, patients were requested to take one gram of omega 3 supplementation daily. Subjects completed demographic, physical activity, and dietary habits questionnaires at baseline and after three months in the program. Weekly phone calls were made to assure participants compliance. Neuropathy pain assessment was done using the short form McGill pain questionnaire. A pain diagram was used to determine the location and the intensity of the pain. Fasting blood glucose and HbA1c were obtained from the subjects at baseline and after three months. Paired t‐test was used to evaluate change in pain at different body locations at baseline and after three months. The change was assessed of the total number of body locations in McGill pain questionnaire and pain diagram multiplied by the number of participants who reported pain in those locations at baseline and after three months. Paired t‐test was also used to evaluate the change in HbA1c after the 3‐month intervention. We adjusted for the dietary omega 3 using paired t‐test for the difference between the baseline and after the intervention. LOG transformation was used to meet the Paired t‐test normality assumption. The study was approved by the Loma Linda University Institutional Review Board. Results We found a significant reduction in the proportion of participants who reported neuropathy pain compared to baseline at the end of the three months of participating in the program (68% vs. 39%, p=0.0034), respectively. With respect to the severity of the pain, the percentage of subjects that reported moderate and severe pain at baseline dropped significantly after three months to mild or no pain status (35% vs. 12.5%, p=0.0051) respectively. Participants also reported a reduction of neuropathy symptoms in the limbs. Although it is not significant (p=0.08), interestingly, the percentage of participants reporting having pain in the limbs went down from 30% at baseline to 15% after three months. Further, at the end of the three‐month study the number of body locations reported by all participants exhibiting neuropathy pain dropped to 108 (mean difference of 3.31, p<0.0001). These findings were accompany with a significant reduction in HbA1c (0.56, p=0.016). Conclusion Our findings support the inclusion of omega 3 fatty acids supplementation in health education intervention programs to reduce neuropathic pain in patient with type 2 diabetes. Support or Funding Information National Institutes On Minority Health and Health Disparities, NIH. Project # 5P20MD006988

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.235
Teacher spread0.227 · 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 designNon-randomized trial
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

Citations0
Published2016
Admission routes1
Has abstractyes

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