MétaCan
Menu
Back to cohort
Record W2211118566 · doi:10.22037/anm.v17i58.670

EFFECTS OF AROMATHERAPY AND MASSAGE ON PAIN OF PATIENTS WITH MULTIPLE SCLEROSIS (MS)

2007· article· en· W2211118566 on OpenAlexaboutno aff
F Atashzadeh Shourideh, Shamaneh Mohammadi, Z H Abed Saeidi, Hamid Alavi Majd, M H Salehi Sourmeghi

Bibliographic record

VenueAdvances in nursing and midwifery · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPowdery Mildew Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAromatherapyMassageMedicinePhysical therapyPopulationAlternative medicine

Abstract

fetched live from OpenAlex

BackgroundMultiple sclerosis (MS) is one of common autoimmune diseases with 0.1% incidence in the world population. Pain is one of its clinical manifestations and, according to recent studies, it mostly remains untreated. Pain relief is a primary nursing intervention and, currently, complementary therapies such as massage and aromatherapy are increasingly used for it. PurposeThis quasi-experimental study was conducted to compare between the effects of massage with menthol (aromatherapy) and sweet almond on MS-related pain in patients referring to Mazandaran MS Association in Sari, 2006. Methods80 MS patients were selected by purposive sampling method. Inclusion criteria consisted of age between 20 and 40; no massage prohibition; presence of pain in lumbar or distal extremities; no history of allergy, headache and respiratory diseases. Data were collected by a questionnaire in two parts: demographics and McGill pain scale (0-5). Its validity and reliability were checked by content and internal consistency (r=0.88) methods respectively. Patients were randomly divided into two groups: massage group receiving sweet almond massage and aromatherapy group receiving aromatic (mint abstract) menthol massage. Severity of pain was recorded and compared before and after the intervention. ResultsFinding showed no difference between the groups in terms of demographic data and pain severity before the intervention (P< 0.05). On the other hand, a significant difference was found within (P

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.146

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in nursing and midwiferySame topicPowdery Mildew Fungal DiseasesFrench-language works237,207