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Long‐chain Polyunsaturated Fatty Acid Status Associates with Bone Mass in Overweight and Obese Children

2015· article· en· W614844609 on OpenAlexaff
Ivy Lynn Mak, Tamara R. Cohen, Sarah‐Eve Loiselle, Catherine A. Vanstone, Tom J. Hazell, Hope A. Weiler

Bibliographic record

VenueThe FASEB Journal · 2015
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsWilfrid Laurier UniversityMcGill University
Fundersnot available
KeywordsPolyunsaturated fatty acidBone mineralMedicineOverweightInternal medicineFatty acidEndocrinologyArachidonic acidBone densityObesityChemistryOsteoporosisBiochemistry

Abstract

fetched live from OpenAlex

Children who are obese are at increased risk of fractures. However, linkages to possible nutritional imbalances are unclear. Experimental studies suggest long‐chain polyunsaturated fatty acids (LCPUFA) such as arachidonic acid (AA C20:4 n6) modulate bone mass in a biphasic manner, yet it is uncertain whether this is observed in humans. This study examined the relationship between LCPUFA status and bone mass in overweight and obese (OvOb) children. Participants (n=119, 9.28 ± 1.89 y, BMI‐z 3.03 ± 1.02) were assessed for bone mass with DXA (Hologic Discovery). Fatty acid profile was measured in red blood cells (RBC) using gas chromatography. A generalized linear model was used to determine relationships between LCPUFA in RBC and bone outcomes with adjustments for Tanner stages and BMI. Saturated fatty acids palmitate (C16:0) and stearate (C18:0) inversely related to lumbar spine bone mineral density (r=‐0.18 and ‐0.22 respectively, p<0.05); while the omega‐3 fatty acid α‐linoleneate (ALA, C18:3 n3) positively related to whole body, total hip, ultra‐distal and mid forearm bone area, mineral content (BMC) and density (r=0.21 to 0.31, p<0.05). When children were divided into three groups by AA tertiles (cutoffs by 33rd and 67th percentile of % total FA) and compared with MIXED model ANOVA, those in the second tertile had greater forearm bone area and BMC than those in the first or third tertiles (Table 1), indicating higher AA levels may not confer additional benefits in bone growth and mineral accrual. These data suggest LCPUFA may play important roles in modulating bone mass during growth in OvOb children. 1 st tertile (n=39) [4.67‐7.51%] 2 nd tertile (n=35)[7.52‐ 8.42%] 3 rd tertile (n=45)[8.44‐14.06%] Ultra‐dista Area (cm 2 ) 4.09 ± 0.64 a 4.67 ± 0.67 b 4.29 ± 0.63 a BMC (g) 1.32 ± 0.05 1.51 ± 0.09 1.38 ± 0.07 Mid Area (cm 2 ) 7.50 ± 0.47 ab 9.21 ± 0.55 a 7.75 ± 0.32 b BMC (g) 3.05 ± 0.22 a 4.02 ± 0.34 b 3.31 ± 0.19 a 1/3 distal Area (cm 2 ) 4.33 ± 0.10 a 4.74 ± 0.10 b 4.38 ± 0.06 a BMC (g) 2.11 ± 0.09 2.43 ± 0.13 2.28 ± 0.09

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.018
GPT teacher head0.274
Teacher spread0.255 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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