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Record W7056039616

EFFECT OF MILK PROTEIN, SODIUM CHLORIDE, AND POTASSIUM CITRATE ON ACUTE URINARY CALCIUM EXCRETION IN CHILDREN

2023· dissertation· en· W7056039616 on OpenAlexfundno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersDairy Farmers of Canada
KeywordsCalciumExcretionSodiumPotassiumUrinary calciumUrineCaseinNet acid excretion
DOInot available

Abstract

fetched live from OpenAlex

Studies using adult human subjects indicate that dietary protein and sodium chloride can have a negative impact on the retention of calcium by increasing urinary calcium excretion. Conversely, alkaline potassium can improve calcium retention by decreasing urinary calcium losses. Childhood is an important time for bone growth, however, the effect of these dietary factors on calcium metabolism in children has not been addressed. This study investigated the effects of oral potassium citrate (K-citrate), sodium chloride (NaCl), and milk protein on short-term urinary calcium excretion in 6-10 year old girls. Subjects provided a fasting urine sample then consumed a base meal and one of five supplements: 8.6 g protein (MP); 8.6 g protein + 25.7 mmol sodium chloride (MP+Na); 25.6 g protein (HP); 25.6 g protein + 25.7 mmol sodium chloride (HP+Na); or 25.6 g protein + 10.8 mmol tri-potassium citrate (HP+K). Urine was collected at 1.5 and 3.0 hours after the meal. Fourteen healthy Caucasian girls ages 6.7-10.0 years old completed all treatments, with at least 48 hours between each test. Supplemental protein was 80% casein and 20% lactalbumin, to simulate cow's milk protein, and contained 0.2 mmol phosphorus per gram. Results were statistically analyzed by Repeated Measures ANOVA and Student-Newman-Keels test. Urinary calcium excretion rose after the meal, peaking at 1.5 hours after all treatments. There were no significant differences in calcium excretion between treatments at any time point. HP, which did not increase urinary calcium excretion compared to MP, also did not result in an increase in either net acid or sulfate excretion at 1.5 hours. Dietary sodium chloride had no effect on urinary sodium or calcium excretion over the three hours. However, fasting calcium excretion (mmol/mmol creatinine) was correlated with fasting sodium excretion (mmol/mmol creatinine) (r=0.53, p<0.001) for the 70 fasting samples collected during the study. Urinary potassium excretion was increased at 1.5 and 3 hours with HP+K (p<0.001). Also, at 1.5 hours after the HP+K treatment, sodium and phosphate excretion were increased (p≤0.002) and net acid excretion was decreased (p<0.001). The results of this study indicate that in children, a simultaneous increase in protein and phosphorus due to increased milk protein intake does not increase acute urinary calcium excretion. There was no effect of a sodium chloride load on urinary calcium excretion seen within the short time-frame of this model. These findings are similar to those of adult studies conducted in the same laboratory using a similar format and treatments. To study the effect of dietary sodium chloride on urinary calcium excretion, longer time periods are necessary. The observation that potassium citrate is not hypocalciuric in children differs from that for adults, who show a decrease in urinary calcium excretion in response to a load of alkaline potassium. The physiological responses of children to dietary factors are not necessarily the same as those of adults. Further research needs to be conducted to determine appropriate dietary recommendations which maximize bone mass in children.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.197
Teacher spread0.193 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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