HEAD CIRCUMFERENCE OF INFANTS RELATED TO BODY WEIGHT

Similar documents
Fact sheet: UK 2-18 years Growth Chart

MEASURES OF VARIATION

Means, standard deviations and. and standard errors

The correlation coefficient

Linear Models in STATA and ANOVA

Section 14 Simple Linear Regression: Introduction to Least Squares Regression

4. Continuous Random Variables, the Pareto and Normal Distributions

Simple linear regression

2. Incidence, prevalence and duration of breastfeeding

REQUIREMENTS FOR REGIONAL CENTER ELIGIBILITY HAVE CHANGED

Body Mass Index as a measure of obesity

Population prevalence rates of birth defects: a data management and epidemiological perspective

Obtaining insurance coverage for human growth hormone treatment for Idiopathic Short Stature In 2003, the Food and Drug Administration (FDA) approved

The first three steps in a logistic regression analysis with examples in IBM SPSS. Steve Simon P.Mean Consulting

Mode and Patient-mix Adjustment of the CAHPS Hospital Survey (HCAHPS)

LINEAR INEQUALITIES. Mathematics is the art of saying many things in many different ways. MAXWELL

The right edge of the box is the third quartile, Q 3, which is the median of the data values above the median. Maximum Median

Neural Tube Defects - NTDs

The National Survey of Children s Health The Child

Terms concerned with internal quality control procedures

Week 4: Standard Error and Confidence Intervals

Unbeknownst to us, the entire population consists of 5 cloned sheep with ages 10, 11, 12, 13, 14 months.

CHAPTER THREE COMMON DESCRIPTIVE STATISTICS COMMON DESCRIPTIVE STATISTICS / 13

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.

Schools Value-added Information System Technical Manual

CALCULATIONS & STATISTICS

X X X a) perfect linear correlation b) no correlation c) positive correlation (r = 1) (r = 0) (0 < r < 1)

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number

The Code. for Crown Prosecutors

Introduction to Statistics for Psychology. Quantitative Methods for Human Sciences

Content Sheet 7-1: Overview of Quality Control for Quantitative Tests

Breastfeeding. Clinical Case Studies. Residency Curriculum

BIRTH DEFECTS IN MICHIGAN All Cases Reported and Processed by April 15, 2008

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous?

AIG Life. Additional support from AIG Medical advice from the world s Best Doctors

The Logistic Function

11. Analysis of Case-control Studies Logistic Regression

A s h o r t g u i d e t o s ta n d A r d i s e d t e s t s

MICHIGAN DEPARTMENT OF HEALTH & HUMAN SERVICES Division for Vital Records and Health Statistics Michigan Birth Defects Registry

Adolescent Pregnancy and Parenting

MANA Home Birth Data : Consumer Considerations

Ultrasound scans in pregnancy

Correlation key concepts:

Descriptive statistics Statistical inference statistical inference, statistical induction and inferential statistics

Supplementary online appendix

Point and Interval Estimates

3-1 THE NERVOUS SYSTEM

Chapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS

Method To Solve Linear, Polynomial, or Absolute Value Inequalities:

Comprehensive Reading Assessment Grades K-1

INTERNATIONAL STANDARD ON AUDITING 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING CONTENTS

Pregnancy Intendedness

GROWTH AND DEVELOPMENT

Descriptive Statistics

STAGES OF PRENATAL DEVELOPMENT

2016 PQRS OPTIONS FOR INDIVIDUAL MEASURES: CLAIMS, REGISTRY

Chapter 8 Hypothesis Testing Chapter 8 Hypothesis Testing 8-1 Overview 8-2 Basics of Hypothesis Testing

Supplementary Fetal Growth Curves

Parental Responsibility and Unmarried Fathers in Northern Ireland

First Trimester Screening for Down Syndrome

AP Statistics Solutions to Packet 2

Lecture 13/Chapter 10 Relationships between Measurement (Quantitative) Variables

A simple guide to classifying body mass index in children. June 2011

Session 7 Bivariate Data and Analysis

NATIONAL SURVEY OF HOME EQUITY LOANS

Freely Falling Bodies & Uniformly Accelerated Motion

THE BENEFITS OF LIVING DONOR KIDNEY TRANSPLANTATION. feel better knowing

The Life Cycle of Nazarene Churches Kenneth E. Crow, Ph.D.

An Introduction to Ages & Stages Questionnaires (ASQ-3)

The data set we have taken is about calculating body fat percentage for an individual.

Section 1.3 Exercises (Solutions)

When a Child Dies. A Survey of Bereaved Parents. Conducted by NFO Research, Inc. on Behalf of. The Compassionate Friends, Inc.

The Special Education Referral & Identification Process. Menlo Park City School District Source: US Department of Education and

Long-term impact of childhood bereavement

Evaluation and Assessment and Eligibility Regulations 2011

Chapter 6: Probability

Mid-year population estimates. Embargoed until: 20 July :30

2. Simple Linear Regression

PROFILE OF THE SINGAPORE CHINESE DIALECT GROUPS

STATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI

The Relationship between Speed and Car Driver Injury Severity

Why does my child have a hearing loss?

Child Maltreatment Report retrieved on 6/7/09

Water scarcity as an indicator of poverty in the world

Section A. Index. Section A. Planning, Budgeting and Forecasting Section A.2 Forecasting techniques Page 1 of 11. EduPristine CMA - Part I

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Statistical estimation using confidence intervals

Patient information on soft markers

Regression Analysis: A Complete Example

5.1 Identifying the Target Parameter

Charlesworth School Year Group Maths Targets

The Impact on Inequality of Raising the Social Security Retirement Age

INTERNATIONAL STANDARD ON AUDITING (UK AND IRELAND) 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING CONTENTS

What is personal data? A quick reference guide

A Strategy for Teaching Finite Element Analysis to Undergraduate Students

Notes on using capture-recapture techniques to assess the sensitivity of rapid case-finding methods

Chapter 5 Analysis of variance SPSS Analysis of variance

Standard Comparison Protocols at NICU, Regional and National levels.

Product Development News

Duration and Bond Price Volatility: Some Further Results

Transcription:

Arch Dis Childh 1965 40 672 HEAD CRCUMFERENCE OF NFANTS RELATED TO BODY WEGHT BY R S LLNGWORTH and W LUTZ From the Department of Child Health and the Department of Statistics the University of Sheffield (RECEVED FOR PUBLCATON FEBRUARY 24 1965) The measurement of the maximum circumference of the head is a part of the routine physical examination of any baby just as much as examination of the heart chest and abdomen as examination of the hips for subluxation of the urine for phenylpyruvic acid and of the hearing after the age of 3 or 4 months The importance of measuring the head circumference lies partly in the early detection of hydrocephalus which is now amenable to surgical procedures and partly in the early diagnosis of mental subnormality When there are indications for a careful developmental assessment measurement of the maximum head circumference is a vital part of the examination Though the maximum head circumference is of great importancein developmental and neurological assessment there are several difficulties in its interpretation A large head may be merely a familial feature t is rarely due to megalencephaly and still more rarely to hydranencephaly The diagnosis of the obvious cause hydrocephalus is normally supported by other clinical signs such as a bulging fontanelle or undue separation of the sutures n the very young baby with a spina bifida air studies may demonstrate a fairly considerable degree of hydrocephalus before its presence is revealed by an excessive head size or excessive increase in its size (Lorber 1961) A small head is not strictly synonymous with microcephaly t may for instance be a familial feature A true microcephalic head is characterized not only by the small head circumference but by its shape and in particular by the excessive tapering off toward the vertex Microcephaly is usual in children suffering from mental subnormality (unless there be hydrocephalus megalencephaly or hydranencephaly) and if a mentally subnormal child has developed normally during the early months the head will by then have attained much of its eventual size By the age of 9 months the brain has reached half its adult size and by the age of 2 years 672 three-quarters its adult size To put it another way if mental subnormality dates from birth or before birth the head is usually small The later in the first year at which the mental subnormality develops the less will be the evidence of microcephaly f it develops after the first year there will be no significant evidence of microcephaly A broad head (brachycephaly) with a flat occiput may have an average head circumference but it is nevertheless commonly associated with mental subnormality The head in generalized craniostenosis may be unduly small but craniostenosis is distinguished from microcephaly by palpation of the sutures and by radiological examination Serial measurements are more important than isolated measurements A changing relationship between the head circumference and its placing on the percentile head chart may well indicate the development of hydrocephalus or microcephaly (Fig 1) On the other hand a placing above or below the upper or lower percentile respectively will be seen to be normal when serial measurements indicate that the position in relation to the percentile is not changing (Fig 2) A minor difficulty in interpretation of the head circumference lies in the fact that the younger the baby (or foetus) the larger the head size in relation to the size of the rest of the baby A major difficulty is the obvious fact that at any given age a large baby is likely to have a larger head than a small baby and vice versa t is necessary therefore to relate the size of the head to the size of the baby and a convenient index of the size of the baby is his weight Up to the present we have plotted the head circumference on a chart which gives the 10th 50th and 90th percentiles and his weight against a weight chart which gives the same percentiles for the relevant sex at the age in question One can then determine whether his head size corresponds with (ie occupies the same relative percentile position as) his weight This method

- 43-4 1 - -lb 673 39 - t- E 37 e E 37 c&)1 u V _- -14 01V -14 35 39- _l A L HEAD CRCUMFERENCE AND BODY WEGHT - 90 50 43-00i 4 11 35-33413 33t 13 0 4 8 12 16 20 WEEKS FG 1-Head circumference: serial measurements in hydrocephalus and a case of microcephaly a case of 0 4 8 12 16 20 WEEKS FG 2-Head circumference in a normal small child; measurements indicate normal rate of head growth serial involves the use of two charts for each child Our present study was intended to provide a more accurate method of relating the head size to the weight using a single graph for each child Material and Methods During a joint obstetrical and paediatric study made with a different object we kept a record of certain physical measurements including the child's weight and maximum head circumference The children were seen at birth and followed up as nearly as possible at the ages of 6 weeks 6 months and 10 months Those ages were chosen because it was felt that they were the best for developmental assessment The total number of children for whom we have the necessary measurements is shown in the statistical addendum (Table A) The nude weight was recorded The maximum head circumference was measured by a non-elastic soft tape which was checked for accuracy at frequent intervals nfants who were suspected on developmental testing of being mentally subnormal or of having hydrocephalus were excluded from this investigation Table 1 gives the average head circumference and weight of the boys and girls studied in this investigation The figures indicate that there is a direct relationship between body weight and head circumference :~~~~~V L/i- Results We had hoped to obtain one graph for each sex covering the four age periods but it was found that the data available would not permit this Consequently we have prepared eight graphs four for each sex covering the periods of birth 6 weeks 6 months and 10 months (Figs 3 and 4) From these graphs it is immediately possible to determine the expected head circumference for a child of given sex age and weight t can be seen from the graphs that the expected head circumference can be calculated with reasonable accuracy by subtracting (or adding) the following measurements from (or to) the head circumference for each pound above (or below) the average weight (Table 2) We emphasize that the head circumference of most children will not coincide with these average values

674 LLNGWORTH AND LUTZ TABLE 1 HEAD CRCUMFERENCE RELATED TO WEGHT AT DFFERENT AGES Boys Girls Weight Regression Regression Average Head Coefficient Average Head Coefficient Circumference Head Circumference Head Boys Girls Circumfer- Circumference on _ ence on nch Cm Weight nch Cm Weight lb oz g lb oz g Birth 13*7 34-8 0 343 13*8 35*0 0 231 7 5k 3180 7 5k 3180 6 weeks -3 38-9 0-235 14-9 37-8 0-262 10 13 4860 10 0 4500 6 months -5 44-4 0*122 *0 43 *2 0*124 18 121 8520 7k 7840 10 months 18-4 46-7 0-114 -9 45-5 0 099 22 2i 10460 20 10i 9380 There are considerable normal variations and it is essential to take into account the 95% confidence limits and all the relevant clinical features mentioned TABLE 2 CALCULATON OF EXPECTED HEAD CRCUMFERENCE FROM AGE AND WEGHT* Boys Girls nch Cm nch Cm Birth 0 3 0 8 025 0* 6 6 weeks 025 0 6 025 0*6 6 months 0 125 0 3 0 125 0 3 10 months 01 0 3 0 1 0 3 * The figures show the amount to be added to or subtracted from the head circumference for each lb above or below the average weight There is bound to be some degree of error in head and weight measurements n practice allowance for the influence of body weight will be made in older infants of over 6 months only in extreme cases of overweight or underweight t is important to note that a sudden loss of weight such as may occur with acute dehydration will disturb the relation between head circumference and weight A sudden increase of weight will normally be accompanied by a corresponding increase in head size At first sight this might lead the unwary relying on a head chart alone to make the erroneous diagnosis of hydrocephalus The relationship of head size to weight in grossly underweight children with the 'failure to thrive' picture is still uncertain Dean (1965) found that -C u z U U 1 7-6 - 1 5-4 - 1 3-2- BRTH DATA y =0 34x + 4 5 b 7 8 9 10 1 20-18- 19-1 8-1 7 - i6 2b-WEEK FOLLOW-UP 18-2 6 5-4 3 12 2 1 19 - y= 0-1 2x+ 18 20- - b-week FOLLOW-UP y= 024x+1274 5 7 8 9 10 45-WEEK FOLLOW-UP y=olx81 _ 1 2 13 _ 16 13 14 16 18 19 20 21 18 19 20 21 22 23 WEGHT (1 24 25 FG 3-Relationship of head circumference to weight (boys)

HEAD CRCUMFERENCE AND BODY WEGHT 675 BRTH DATA b-week FOLLOW-UP 18- lb 6Y=O023x+ 1190 1 7 -y=02bsx+12 2b u 2 3~~~ z 4 5 7 8 9 10 11 12 5 6 7 8 9 10 12 13 a: 20-26-WEEK FOLLOW-UP 45-WEEK FOLLOW-UP 20-21 D 19 y=012xs1486 20 y= OOx+8b 7 188 b -- 71 13 14 lb 18 19 20 21 16 18 19 20 21 22 23 24 25 WEGHT (lb) FG 4-Relationship of head circumference to weight (girls) the relationship between the circumference of the head and that of the chest was useful in assessing children with severe malnutrition such as kwashiorkor Whereas the circumference of the head is normally greater than that of the chest until the age of 6 months that of the chest is normally greater after that age Dean found that in malnutrition the measurement affected least was the head circumference and that the head was nearly always larger than it should be in relation to the size of the body n malnourished children the extent of the difference between the circumference of the head and the thorax was related in a statistically significant way Discussion Too much must not be read into an unusual head size but in conjunction with other clinical features it is of the utmost importance in developmental assessment Thus if a child is developmentally retarded and the head circumference is found to be low in relation to his weight one will be very suspicious that he may prove to be mentally subnormal f on the other hand the child is developmentally retarded and yet the head circumference corresponds well with the weight the child may be an example of delayed maturation and later prove to be normal n doubtful cases serial measurements can throw a great deal of light on the problem Summary The measurement of the maximum head circumference must be part of the routine examination of any baby t must be related to the size of the baby and the weight is a good index of this Graphs have been constructed in which the head circumference is related to the size of the baby A table which enables a rough correction to be made in order to relate the head size to the weight is given Difficulties in interpreting the results are discussed We wish to thank the Spastics Society for support in the joint obstetrical and paediatric study from which the figures were obtained for this investigation REFERENCES Dean R F A (1965) Effects of malnutrition especially of slight degree on the growth of young children Courrier 73 Lorber J (1961) Systematic ventriculographic studies in infants born with meningomyelocele and encephalocele: the incidence and development of hydrocephalus Arch Dis Childh 36 381 Statistical Addendum The data for boys and girls were analysed separately and the subsequent results showed that the boys had a slightly larger head circumference at all ages after birth We realized that a linear regression over the whole period of 45 weeks was unlikely to be realistic On the other

676 LLNGWORTH AND LUTZ TABLE A No of ofcasesmean Caes Age Standard Deviation Range of Regression Coefficient (wk)of Age Ages (wk) Head Circumference (sexes on Weight combined) Boys Girls Boys Girls Boys Girls Boys Girls Birth 397 311 - - - - - 0 343 0*231 st follow-up 362 307 6-7 6-7 1*27 128 4-0 235 0*262 2nd follow-up 353 295 26-7 26-8 0 2-06 21-36 0*122 0*124 3rd follow-up 356 312 44-6 44-8 2-02 2-52 35-57 0114 0099 hand fitting a curve to data concentrated at 4 points only (0 6 26 and 45 weeks) was not advisable Hence each of the four stages birth and the follow-up studies at 6 26 and 45 weeks was treated separately A comparison of the linear regression lines of head circumference on gestation and birth weight with the regression line on birth weight only (both sexes treated separately) clearly showed that gestation did not reduce the sum of squares about the regression curve to any worth-while degree Thus gestation as a predictor of head circumference was unsatisfactory for the birth data and would obviously be of even less value at older ages Mothers were requested to bring their children in for examination at the three stated ages Not all were able to comply resulting in a varying number of cases at the different follow-ups Moreover mothers were not always able to adhere precisely to the times requested resulting in a variation of age at each of the follow-up periods Table A shows the extent of these variations in numbers and age Analysis showed that the variable 'age' at each followup study did not reduce the sum of squares about the regression line by more than a minute fraction Since gestation as a predictor had already been eliminated we finally used the regression line of head circumference on weight only at each of the four age stages and for each sex t is not claimed that there is no relationship between age and head circumference n fact there must exist at least in the first year a fairly strong relationship between head circumference on the one hand with age and weight on the other However the limited age variation at each single follow-up study added little to the ability to predict head circumference The regression studies therefore seem applicable to children whose ages vary a few weeks either side of the mean ages 64 26 and 45 weeks Cases of hydrocephalus and microcephalus (not included in the series) showed their head circumferences to lie well outside the 95% confidence belts as shown on the graphs in nearly all instances Table A also shows the regression coefficients of head circumference on weight at the four periods studied The regression coefficient 0 343 for boys and 0 231 for girls at birth was significantly different at the 95% level At later ages the regression coefficients for boys and girls were not significantly different The decline in the regression coefficients with age clearly indicates that weight alone becomes an increasingly poor predictor of head circumference with age at least on its own For older children a combination of several variables will have to be considered if a good predictor of head circumference is desired