npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

growthmethods

v1.2.6

Published

UK-WHO Growth Chart Node Module

Downloads

14

Readme

growthmethods

An NPM module for UK-WHO growth charts: Please note the data inside is licensed to the MRC and should not be used without their permission.

This module uses the UK-WHO growth chart data and blood-pressure data to generate centiles and SDS scores.

To do this it has to look up the L, M and S values against the calculated decimal age of the child, interpolate if necessary, and combine these to generate SDS. The methods in this module do not correct for gestational age in premature babies <37 weeks or <32 weeks as recommended by national guidance so should only be used for the > 2y olds.

The LMS parameters are the median (M), the generalized coefficient of variation (S), and the power in the Box-Cox transformation (L). To obtain the value (X) of a given physical measurement at a particular z-score or percentile, use the following equation:

    X = M (1 + LSZ)**(1/L), L ≠ 0

    Or

    X = M exp(SZ), L = 0

methods

calculate a decimal age:

decimalAgeFromDates(_dateOfBirth_, _clinicDate_)

correctedDecimalAgeFromDatesAndGestation(dateOfBirth, clinicDate, gestationWeeks, gestationSupplementaryDays)

calculate a chronological age

chronologicalAgeFromDates(dateOfBirth, clinicDate)

Note neither of these methods correct for gestational age which is recommended if below 1y and born at 32-37 weeks, or below 2y and born at below 32 weeks.

calculate a BMI (kg/m2) from a height in cm and weight in kg

bmiFromHeightandWeight(height, weight)

calculate a weight (kg) from a BMI and a height (cm)

weightForBMI(height, BMI)

calculate the BMI as a percentage of the median for age and sex. The isMale parameter is boolean

percentageMedianBMI(actualBMI, decimalAge, isMale)

calculate an SDS from a measurement, sex and decimal age

the measurement parameter accepts: "weight", "height", "BMI". isMale is boolean.

  SDS(measurement,  decimalAge,  actualMeasurement, isMale)

convertZScoreToCentile(SDS)

where measurement parameter: "weight", "height", "BMI", "BPSystolic", "BPDiastolic"

measurementFromSDS(measurement, requestedMeasureSDS, actualMeasurement, isMale, decimalAge, isBP)

Blood Pressure methods

There are different methods depending on which reference data is used. If using the the Jackson data, only an age and sex is required. The youngest age this can be used for is 4 years.

If using the Fourth Report data, age, sex and height centile are required. The height centile is calculated from the UK-WHO growth data. The youngest age this can be used for is 1 year.

calculate a BP SDS from the Jackson data.

isSystolic, isMale are boolean.

bpSDS(isSystolic, isMale, decimalAge, bp_measurement )

calculate a BP SDS using the Fourth report method.

isSystolic and isMale are boolean, height_measurement is in cm.

BPZFromHeightSDSAndDecimalAgeAndSex = function (isSystolic, height_sds, bp_measurement, decimal_age, isMale)

References

Cole TJ, Green PJ (1992). Smoothing reference centile curves: the LMS method and penalized likelihood. Statistics in Medicine, 11:1305–1319.

The Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents, PEDIATRICS Vol. 114 No. Supplement 2 August 1, 2004 pp. 555-576

Jackson L V, Thalange N K S, Cole T J. Blood pressure centiles for Great Britain. Arch Dis Child 200792298–303.303

http://www.cdc.gov/growthcharts/percentile_data_files.htm

GrowthMethods by eatyourpeas is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

DISCLAIMER: NO LIABILITY IS ACCEPTED FOR THE ACCURACY OF THE METHODS IN THESE MODULES OR THE RESULTS THEY PRODUCE.