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Record W6990151063

Correlation between maternal physical exercises during late pregnancy and infant motor development

2017· article· en· W6990151063 on OpenAlexaboutno aff

Bibliographic record

VenueMurray State's Digital Commons (Murray State University) · 2017
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyPhysical activityMotor skillGross motor skillConfoundingMotor activityEnergy expenditure
DOInot available

Abstract

fetched live from OpenAlex

Correlation between maternal physical exercises during late pregnancy and infant motor development. Nikitha Rajendran1, Karen Furgal, PT, DPT, PCS2, Keri Esslinger, PhD3, Rachel Tinius PhD, ACSM-EP-C3 1 Gatton Academy of Math and Sciences, WKU, Bowling Green, KY 2 Department of Physical Therapy, WKU, Bowling Green, KY 3 Department of Kinesiology, Recreation, and Sport, Western Kentucky University, Bowling Green, KY The relationship between maternal physical activity during late pregnancy and infant motor development has not been studied. Here we hypothesize that women who were physically active during pregnancy will have newborns with higher motor skill development at 4 months of age. Physical activity during late pregnancy (32-39 weeks) was assessed using Actigraph Link devices. Wrist-worn tri-axel accelerometers are a valid measure of physical activity-based energy expenditure in pregnant women. Data were collected for seven consecutive days at 30 Hz. The accelerometer output was sampled by a 12-bit analog-to-digital converter. The percentage of time spent sedentary, as well as the amount of time spent participating in different categories of physical activity ranging from light and moderate were calculated using algorithms corresponding to the following activity counts: sedentary: 0 - 99 counts/min, light: 100 - 759 counts/min, lifestyle: 760 - 1951 counts/min, moderate: 1952-5724 counts/min. In addition, potential confounders (e.g. amount of time infant spends in different positions, number of siblings, daycare environment, etc.) were assessed via surveys. The maternal physical activity levels during pregnancy and the AIMS scores in infants at 4 months has positively correlated. These results provide evidence to encourage pregnant women to be physically active throughout pregnancy in order to improve the motor development and performance of their child. These findings suggest maternal exercise as an effective and resourceful approach to improve maternal and infant health- as motor performance early in life is linked to improvements in cognitive function in childhood. In the coming months, the infant motor development using the Alberta Infant Motor Scale (AIMS), a validated test to assess motor control in infants at 4 months of age, will be performed by trained physical therapists and physical educators.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.017
GPT teacher head0.239
Teacher spread0.221 · 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.

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
Published2017
Admission routes1
Has abstractyes

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