New equations to estimate basal metabolic rate (BMR) - Its Nutritional application and worldwide use
Submitting Institution
Oxford Brookes UniversityUnit of Assessment
Allied Health Professions, Dentistry, Nursing and PharmacySummary Impact Type
HealthResearch Subject Area(s)
Mathematical Sciences: Pure Mathematics, Statistics
Medical and Health Sciences: Public Health and Health Services
Summary of the impact
Jeya Henry's research into Basal Metabolic Rate (BMR) and applied
equations for predicting BMR led to the development of new equations. The
`Henry' equations have recently been adopted and recommended for clinical
use by UK and EU bodies, and are now used in daily dietetic practice
throughout the European region, influencing the way in which patients and
clients' treatments and therapies are designed in a variety of complex
clinical settings. They also form the basis on which the food industry can
make recommendations on their products based around recommended daily
allowances (RDA) of energy intake, improving the power of the consumer to
make informed choices about the food they eat.
Underpinning research
Basal Metabolic rate (BMR) may be defined as the minimal rate of energy
expenditure compatible with life and is measured when a subject is at
rest. BMR represents up to 70% of total energy expenditure (TEE) of any
individual.
Prof. Jeya Henry has been researching BMR since 1984 at Oxford Brookes
University. At the time of the publication of a Food and Agriculture
organization of the United Nations/World Health Organization/United
Nations University (FAO/WHO/UNU) report in 1985, it was acknowledged that
there were shortcomings in the Schofield equations that were used to
estimate BMR in the report, which related to their not accounting for
ethnic variations. The chair of the FAO committee which produced the
report, John Waterlow, encouraged Henry to begin investigations into
identifying what the variation in BMR produced by ethnic factors might be.
This included some preliminary work on the development of new predictive
equations (Henry & Rees 1991), undertaken in collaboration with the
late David Rees, a statistician also at Brookes.
In 1993, Professor Jeya Henry was awarded funding from Fondation Nestlé
(Switzerland) to investigate human energy expenditure, focussing
particularly on BMR in UK and Malaysian children. This was a unique study
comparing growth, development and BMR in children living in two
contrasting environments. The funding was initially for three years, and
was extended for a further 4 years. The study found that UN/FAO/UNU
recommended Schofield equations, and Henry's own earlier equations (Henry
& Rees 1991) overestimated BMR of Malaysian children [1].
In 1994, Henry, with his PhD student Hayter, identified the European bias
that the subject selection had in the development of the Schofield
equations [2], which contributed to the overestimation identified in the
earlier study. While conventionally it had been usual to collate
information from European subjects who were the major source of
nutritional research investigation, it was understandable that this bias
was present. However, given that a greater proportion of the global
population are not from European and north American backgrounds, there was
clear need to take account of differences that ethnic origins may have on
BMR. One of the key findings was determining that there was a circa 10%
reduction in Asian BMR values compared to European and North American
equivalents [2].
Between 1995 and 2005, Henry worked with collaborators internationally to
continue to investigate BMR in different demographic groups and gather
together a much wider-ranging dataset of BMR measurements [3-5]. As the
dataset grew and was integrated with earlier datasets, the process of
mathematical analysis using regression, eventually culminated in the
creation of the `Henry' equations and the `Oxford' database [6]. These
equations for the first time assembled data generated from Brookes'
laboratories and collated from the world literature to generate predictive
equations of greater accuracy and universal application.
References to the research
1 Henry, CJK (1993) Relationship between basal metabolic rate (BMR)
and fasting metabolic rate (FMR) — some theoretical and
practical implications, International Journal of Obesity, Volume: 17
Supplement: 1, Pages: S79-S79
This paper can be made available on request.
2 Hayter, JE & Henry, CJK (1994) A re-examination of Basal
Metabolic Rate predictive equations — the importance of geographic
origin of subjects in sample selection, European Journal of Clinical
Nutrition, Volume 48, Issue 10, Pages 702-707
Hayter was a PhD student in Henry's research group at Brookes at the time.
This paper can be made available on request.
3 Shetty, PS; Henry, CJK; Black, AE; et al. (1996) Energy
requirements of adults: An update on basal metabolic rates (BMRs) and
physical activity levels (PALs), European Journal of Clinical
Nutrition, Volume 50, Supplement 1, Pages S11-S23
Shetty was collaborator at the London School of Hygiene & Tropical
Medicine.
Black was collaborator at University of Cambridge.
4 Henry, CJK; Dyer, S; Ghusain-Choueiri, A (1999) New equations to
estimate basal metabolic rate in children aged 10-15 years, European
Journal of Clinical Nutrition, Volume 53, Issue 2, Pages 134-142, http://www.nature.com/ejcn/journal/v53/n2/pdf/1600690a.pdf
Ghusain-Choueiri and Dyer both Post-doctoral researchers in Henry's
research group at Brookes.
Submitted to RAE2001, Oxford Brookes University, UoA14-Biological
Sciences, RA2, CJK Henry, Output 3.
5 Poh
BK, Ismail
M, Zawiah
H, Henry
C. (1999) Predictive equations for the estimation of basal
metabolic rate in Malaysia adolescents, Malaysian
Journal of Nutrition, Volume 5, Issue 1, Pages 1-14.
Poh, Ismail and Zawiah all collaborators at Universiti Kebangsaan in
Malaysia, who provided data from the Malaysian end of the study, and
assisted with analysis.
6 Henry, CJK (2005) Basal metabolic rate studies in humans:
measurement and development of new equations, Public Health
Nutrition, Volume 8, Issue 7A, Special Issue: SI, Pages 1133-1152, DOI:
10.1079/PHN2005801
Submitted to RAE2008, Oxford Brookes University, UoA12-Allied Health
Professions and Studies, RA2, CJK Henry, Output 1.
Details of the impact
Due to his significant contribution to the understanding of BMR across
populations, as shown above, Henry was invited to be a special scientific
advisor to the FAO/WHO/UNU Expert Consultation on Energy in Human
Nutrition, for which he produced a background document. This development
formed the foundation on which later impacts were achieved in the period
of assessment:
In 2011 the Scientific Advisory Committee on Nutrition (SACN) reviewed
Dietary Reference Values (DRVs) for energy requirements in the UK, which
required a review of the means of calculating BMR. Their report [a] was
one of the most comprehensive reviews of energy requirements. It found
that the Henry equations showed a greater degree of accuracy in predicted
BMR compared with measured BMR than any other equation tested. As a
result, the SACN recommended that the Henry equations should be adopted by
the UK and Europe for the estimation of energy requirements and the
associated food production requirements at the population level (see
paragraphs 192-3, [a]). Until the publication of the Henry equations every
dietitian was using the Schofield equations. Following the recommendations
by SACN the Henry equations have now replaced these equations and are the
ones recommended for use by dietitians in most clinical conditions.
Also in 2011, the British Dietetic Association's Parenteral and Enteral
Nutrition Group (PENG) produced the 4th edition of their A Pocket
Guide To Clinical Nutrition, in which the authors recommend the use
of the Oxford equations to estimate BMR rather than the Schofield
equations [b]. In September 2012, the Nutrition Support Interest Group of
Ireland (NSIG) advised the Irish and Nutrition Dietetic Institute (INDI)
to recommend the use of the Henry/Oxford equations rather than the
Schofield equations (or COMA update of these), to estimate BMR. Most
dietitians have already changed over to using these equations [c].
Similarly, the 2013 updated print-run of the Oxford Handbook of
Nutrition and Dietetics [d] , which is a key resource for dietetics
practitioners and students, was updated to use the Henry equations for
estimated BMR, relating to issues of general nutritional Energy Balance,
nutrition for people with Cardiovascular disease, other illnesses and burn
injuries.
In January 2013, the European Food Safety Authority (EFSA) published
their report [e] defining DRVs for energy, which relies heavily on the use
of the Henry predictive equations for BMR (referred to as Resting Energy
Expenditure (REE) in this document). The report notes that, in common with
the SACN findings, the Henry equations provide the best predictive values
for estimating energy requirements, giving a greater accuracy. It was
recommended that the Henry equations be utilised to develop guideline DRVs
for energy in all demographic groups. Moreover, the EFSA document will now
serve as a basis to estimate the energy requirements in the 27 countries
within the EU.
Dietetic and Nutritional consultants make daily use of predicted BMR in
their practice, and the widespread recommendation of the new Henry
equations for estimation in the above resources has therefore had an
impact on both them and their patients and clients. The Henry equations
are,
"used to calculate an individual's basal metabolic rate, which
forms the basis of the calculation of energy requirements in
individuals, groups and populations. This calculation is used to
prescribe diets in the treatment of many conditions including obesity,
malnutrition, gastroenterology and spinal cord injuries. It is also used
when prescribing nutritional supplements, enteral and parenteral
nutrition for patients with a wide variety of conditions e.g. burns,
stroke, cancer. Therefore the Henry equations are an essential element
of everyday dietetic practice. Dietitians working in other settings such
as schools and public health use them to form the basis of a lot of
their work e.g. menu planning, interventions aimed at reducing the
prevalence of obesity." - excerpt from statement from consultant
dietitian and nutritionist [f].
The chief editor of the Manual of Dietetic Practice (5th
Ed) has also ensured that this publication also makes use of the
Henry equations as opposed to the Schofield equations [g].
By association, as the food and nutrition industry relies on scientific
evidence to support any claims on food items being `healthy' they are
required to test their products against recommended standards. This
includes being able to show what proportion of the Recommended Daily
Allowance (RDA) of energy is contained within any product. This means that
as the Henry equations are becoming integrated into national guidance via
the EFSA recommendations, they also underpin the claims against RDA of
food products produced and sold in those countries.
National and international bodies require a sound scientific basis in
planning for procuring food supplies, stockpile of food for emergencies
and as a tool for monitoring national food requirements. It is essential
that there is a defined methodology that may be used for assessing the
above needs and that an accurate predictive equation is available to
estimate energy needs. The recent uptake of the Henry equations by the
EFSA and SACN will have an effect on the on-going policy revisions
concerning issues such as these, as this one of the inherent purposes of
developing them.
Sources to corroborate the impact
a) Scientific Advisory Committee on Nutrition (2011) Dietary Reference
Values for Energy, http://www.sacn.gov.uk/pdfs/sacn_dietary_reference_values_for_energy.pdf
b) A Pocket Guide To Clinical Nutrition, 4th Edition (2011), The
Parenteral and Enteral Nutrition Group of the British Dietetics
Association, http://www.peng.org.uk/publications/publications.html
c) Corroborative statement author 1. Email to Prof. Henry from chair of
The Nutrition Support Interest Group of Ireland, dated 23/11/2012 - can be
made available on request from Oxford Brookes University Research and
Business Development Office
d) Gandy, Madden & Holdsworth, Oxford Handbook of Nutrition and
Dietetics, 2nd Edition, (2011), Oxford Medical Publications. 2013
Print run which has updated from the Schofield to the Henry equations -
proofs supplied by the author available on request.
e) Scientific opinion on Dietary Reference Values for Energy,
EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA)2 EFSA
Journal 2013;11(1):3005, DOI: 10.2903/j.efsa.2013.3005
f) Corroborative statement author 2. Statement from consultant dietitian
and nutritionist, and Visiting Researcher at Brookes, co-author and editor
of the Manual of Dietetic Practice (5th Edition), co-author and editor of
the Oxford Handbook of Nutrition and Dietetics, Fellow of the British
Dietetic Association (BDA) and former editor in chief of the Journal of
Nutrition and Dietetics (The official journal of the BDA).
g) Manual of Dietetic Practice, 5th Edition,
Wiley-Blackwell (in press)