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Letters to the Editor

2007· letter· en· W2405206466 on OpenAlexaff
Melissa Wake, Rachel Barratt, Sharon W. Foster, Raelene McNaughton

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2007
Typeletter
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsPolicyWise for Children & Families
Fundersnot available
KeywordsMedicineOverweightAnthropometryChildhood obesityFamily medicineIntervention (counseling)ObesityHealth carePediatricsGerontologyDemographyNursing

Abstract

fetched live from OpenAlex

18 September 2006 Dear Editor, LOOKING OUT FOR OVERWEIGHT/OBESITY IN AUSTRALIAN PRESCHOOLERS: WHO’S ACTUALLY DOING IT? Prevalence of overweight/obesity has risen dramatically in Australian pre-schoolers, topping 20% by 2004.1 The period before school entry may be an important opportunity for early intervention, before comorbidities emerge. Despite this rising epidemic, it is clear that major child health providers including general practitioners2 and large children’s hospitals3,4 are neither systematically nor effectively addressing the issue. The only other services universally available for pre-schoolers’ health care in several Australian states are the community maternal and child nursing services. We surveyed metropolitan Victorian Maternal and Child Health (M&CH) nurses regarding their routine anthropometric practice for 2- to 5-year-old children and perceived role in managing childhood overweight. In February 2006, surveys were completed by 175 of a convenience sample of just under 200 M&CH nurses attending one of three annual professional development conferences in Melbourne, Victoria, which all M&CH nurses are encouraged to attend. Respondents’ M&CH experience ranged from <5 to >20 years. Most training in basic anthropometry (70%) had occurred during the M&CH training course, often many years earlier, and >20% reported having received no anthropometric training. All routinely weighed and measured attending children. Most (64%) scales had been calibrated within the preceding year, and 62% were over 5 years old. Height measures tended to be old and rarely checked; 23% reported using stand-alone stadiometers, 63% pull-down tapes (which need regular checking), and the remainder were using techniques likely to be inaccurate. Although 95% recorded height and weight measurements and 80% also plotted them on percentile charts, none used body mass index (BMI) charts, only 12% reported calculating child BMI, and only 22% knew how to calculate BMI correctly. There was no consensus on the prevalence of overweight and obesity. Some nurses reported seeing few or no overweight/obese children while others thought half of all their clients were affected. Although more than 80% felt very/quite competent broaching and discussing a child’s overweight, only half felt very/quite competent regarding making a difference to a child’s weight. These findings closely resemble our previous findings for general practitioners and major children’s hospitals. Clearly, the 2003 National Health and Medical Research Council guidelines5, recommending routine use of BMI as the measure for overweight surveillance, in Australian children are a long way from reality in all major primary care sectors. Substantial, sustained and systematic investments are required for primary care to become an effective player in state or national initiatives to address established overweight/obesity in pre-schoolers.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.011
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 head0.025
GPT teacher head0.358
Teacher spread0.333 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2007
Admission routes1
Has abstractyes

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