ClinicalTrials.gg
Status unknownNCT02682537Updated Apr 11, 2018

IC-BASAROTs: New Practice Method for More Accurate Bed-side Assessment of Individual Energy Expenditure

An observational study in Healthy, Body Weight and Overweight, sponsored by University of Applied Sciences Neubrandenburg. Status unknown at 6 sites in Germany. Open to participants aged 18 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2018-04-11.

Primary conditionOverweightRegistry: Body WeightReclassifiedWhy we changed it
Registry
Body Weight — the first condition term the registry derived for this study.
ClinicalTrials.gg
Overweight
Why
  1. Body Weight is a broad heading, used only when no more specific condition is named.
  2. The study's listed conditions name Overweight, a narrower term within Body Weight.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by University of Applied Sciences Neubrandenburg · Observational

The sponsor has not verified this record recently (last verified Apr 2018), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Other
Time perspective
Prospective
Enrollment
1,400
Ages
18 Years to 100 Years
Sex
All
01

Study summary

Assessment of resting energy expenditure (REE) by indirect calorimetry (IC) in 1400 healthy individuals for arithmetical transformation into an bedside tool to estimate energy requirements in dietary practice (BASAROTs). A multinational, multicenter, prospective cross-sectional study.

Read the detailed description

The assessment of energy expenditure is the basic requirement for any nutritional therapy. Nevertheless, there is still no accurate, scientifically validated and practical bedside tool.

The reference method for energy expenditure measurement is indirect calorimetry (IC). High costs, time requirements and the need for trained personal are main reasons for its limited use in clinical practice. Also arithmetical calculations, such as the Harris-Benedict equation, are not widely accepted.

In general energy expenditure is often estimated by so called rules of thumbs, a method requiring only one multiplication with body weight (for example: 25 kcal/kg body weight). Sex, age and BMI are usually not considered, although they are independent predictors of energy expenditure. Thus, energy expenditure estimations are often inaccurate, especially in older and overweight/obese persons.

Therefore, it is important to develop a bedside tool that is more accurate but simple enough to be accepted by practitioners. In 2004, the Austrian Society of Clinical Nutrition published the first BMI, aged and sex adapted rule of thumbs, called BASAROTs (BMI Age Sex Adjusted Rule Of Thumbs). Those were, however, based on results of the Harris Benedict equation.

The main objective of the present study is, therefore, to replace the existing BASAROTs by BASAROTs based on actual measurements of resting energy expenditure by indirect calorimetry (IC-BASAROTs).

02

Conditions studied

  • Healthy
  • Body Weight
  • Overweight
  • Thinness

Browse trials for

Keywords

  • Resting energy expenditure
  • Calorie requirements
  • Indirect Calorimetry
03

In context

Overweight Reclassified

3,599 studies on the registry are indexed under Overweight; 852 are open to participants now.

This study's planned enrollment of 1,400 is above the median of 154 across 424 observational studies indexed under Overweight.

Browse Overweight studies →

Lead sponsor

This is the only study on the registry with University of Applied Sciences Neubrandenburg as lead sponsor.

Compared within Overweight, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Body Weight. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years to 100 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Minimum sample size of n = 1400: 700 mostly healthy people (50% women, aged 18-100 years, BMI 16.5 to 39.9 kg / m²), 420 underweight individuals (50% women, 18 years to 100 years, BMI from 14.0 to 16.4 kg/m²), 280 morbidly obese (50% women,18 years to 100 years, BMI 40.0-49,9 kg/m²).

Recruitment of volunteers is performed in the local trial centers.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • female, male
  • 18 years to 85 years
  • : 14,0 - 49,9 kg/m²
  • (ECOG) Performance Status (Grade 0 or 1)
  • normal thyroid function
  • subjective health in dependence of BMI (underweight, normal weight, obesity, morbid obesity)

Exclusion criteria

Exclusion Criteria:

  • implanted pacemaker
  • amputations
  • paresis (mono- and diparesis)
  • Asian or African descent
  • above-average physical activity (competitive sport)
  • present or suspicion of malignant neoplasms (tumors, , hemato-oncological diseases)
  • severe diseases (organ diseases, neurological diseases)
  • severe dementia ( \< 20 points)
  • pregnancy
  • participation in other trials
  • subjects with expect non-compliance to protocol guidelines
  • intake of:
  • lithium compound
  • neuroleptics: Olanzapine (Zyprexa ®), Clozapine, Sertindole, Ziprasidone, Haloperidol, Thioridazine
  • anticonvulsant (Carbamazepin, Valproic Acid, Topiramate)
  • noradrenalin-reuptake-inhibitor (NARI): Reboxetine , Atomoxetine
  • tricyclic antidepressants (Amitryptiline, Clomipramine, Doxepin, Imipramine, Trimipramin)
  • Lorcaserin
  • interferon-alfa, interferon-beta
  • Baclofen
  • Orciprenaline
  • Amiodarona
  • Insulin
  • corticoid therapy (oral)
Terms in these criteria, in plain language(4)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

ECOG performance status

A scale of how much an illness limits everyday activity. For people being assessed to join a study, scores run from 0 (fully active) to 4; lower is more active.

0
Fully active, no restrictions.
1
Limited in strenuous activity, but walking and able to do light work, such as housework or office work.
2
Walking and able to look after yourself, but unable to work; up and about more than half of waking hours.
3
Able to look after yourself only in part; in bed or a chair more than half of waking hours.
4
Unable to look after yourself at all; in bed or a chair all day.

Studies most often ask for 0–1 or 0–2. Your doctor gives the score; the WHO scale uses the same steps. The full scale also has 5, which records death.

Metastases

Cancer that has spread from where it began to other parts of the body. “Metastatic” cancer is cancer that has spread this way.

MMSE and MoCA

Short tests of memory and thinking, each scored out of 30. Lower scores suggest more difficulty; criteria give a range, either to include people with memory problems or to leave them out.

05

Study design

Observational model
Other
Time perspective
Prospective
Enrollment
1,400 participants (estimated)
Patient registry
No

Groups and cohorts

  • Female, BMI: 14,00-16,49 kg/m²

    Age: 18 - 100 Years

  • Female, BMI: 16,50-18,49 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 18,50-19,99 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 20,00-24,99 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 25,00-29,99 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 30,00-34,99 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 35,00-39,99 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 40,00-44,99 kg/m²

    Age: 18 - 100 years

  • Female, BMI: 45,00-49,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 14,00-16,49 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 16,50-18,49 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 18,50-19,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 20,00-24,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 25,00-29,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 30,00-34,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 35,00-39,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 40,00-44,99 kg/m²

    Age: 18 - 100 years

  • Male, BMI: 45,00-49,99 kg/m²

    Age: 18 - 100 years

06

What researchers measure

Primary outcomes

  1. resting energy expenditure (REE) (kcal)

    Assessed by indirect calorimetry

    Time frame: 15 minutes

Secondary outcomes

  1. blood pressure (mm Hg)

    upper arm measurement by certified medical device

    Time frame: one single (baseline) measurement under standardized conditions

  2. Body temperature (°C)

    measured axillar, by infra-red ear thermometer and non-contact thermoscan

    Time frame: one single (baseline) measurement under standardized conditions

  3. Heart rate (bpm)

    measured by heart rate band and blood pressure device

    Time frame: one single (baseline) measurement under standardized conditions

  4. Body weight (kg)

    measured by electronic scale integrated in BIA device

    Time frame: one single (baseline) measurement under standardized conditions

  5. Body height (m)

    measured by digital stationary stadiometer

    Time frame: one single (baseline) measurement under standardized conditions

  6. Fat mass (FM) (kg)

    measured by bioelectrical impedance analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  7. Fat-free mass (FFM) (kg)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  8. Fat-free mass index (FFMI) (kg/m²)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  9. Fat mass index (FMI) (kg/m²)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  10. Skeletal muscle mass (SMM) (kg)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  11. Total body water (TBW) (l)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  12. Extracellular water (ECW) (l)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  13. Resistance (R) (Ω)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  14. Reactance (Xc) (Ω)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  15. Phase angle (°)

    measured by bioelectrical impedance Analysis (BIA)

    Time frame: one single (baseline) measurement under standardized conditions

  16. Waist circumference (cm)

    measured by measuring tape

    Time frame: one single (baseline) measurement under standardized conditions

  17. International Physical Activity Questionnaire (IPAQ) short form

    Time frame: one single (baseline) interview

07

Study locations

6 of 6 sites recruiting
  • Technical University of Munich
    Munich, Bavaria 80992, Germany
    Recruiting
  • Fulda University of Applied Sciences
    Fulda, Hesse 36030, Germany
    Recruiting
  • Dietrich Bonheoffer Hospital of Neubrandenburg
    Neubrandenburg, Mecklenburg-Western Pomerania 17033, Germany
    Recruiting
  • University of Applied Sciences Neubrandenburg
    Neubrandenburg, Mecklenburg-Western Pomerania 17033, Germany
    Recruiting
  • Profil Institut for Metabolic Research
    Mainz, Rhineland-Palatinate 55116, Germany
    Recruiting
  • Leipzig University - Medical Center IFB AdiposityDiseases
    Leipzig, Saxony 04103, Germany
    Recruiting
08

References and documents

Publications

  • Elizabeth Weekes C. Controversies in the determination of energy requirements. Proc Nutr Soc. 2007 Aug;66(3):367-77. doi: 10.1017/S0029665107005630. PubMed 17637089 ↗
  • Schoeller DA. Making indirect calorimetry a gold standard for predicting energy requirements for institutionalized patients. J Am Diet Assoc. 2007 Mar;107(3):390-2. doi: 10.1016/j.jada.2007.01.030. No abstract available. PubMed 17324655 ↗
  • Valentini L, Roth E, Jadrna K, Postrach E, Schulzke JD. The BASA-ROT table: an arithmetic-hypothetical concept for easy BMI-, age-, and sex-adjusted bedside estimation of energy expenditure. Nutrition. 2012 Jul;28(7-8):773-8. doi: 10.1016/j.nut.2011.11.020. PubMed 22704700 ↗
  • Lawrence M. Predicting energy requirements: is energy expenditure proportional to the BMR or to body weight? An analysis of data collected in rural Gambian women. Eur J Clin Nutr. 1988 Nov;42(11):919-27. PubMed 3074920 ↗
  • Piers LS, Soares MJ, McCormack LM, O'Dea K. Is there evidence for an age-related reduction in metabolic rate? J Appl Physiol (1985). 1998 Dec;85(6):2196-204. doi: 10.1152/jappl.1998.85.6.2196. PubMed 9843543 ↗
  • Muller MJ, Bosy-Westphal A, Kutzner D, Heller M. Metabolically active components of fat-free mass and resting energy expenditure in humans: recent lessons from imaging technologies. Obes Rev. 2002 May;3(2):113-22. doi: 10.1046/j.1467-789x.2002.00057.x. PubMed 12120418 ↗
  • Dickerson RN. Optimal caloric intake for critically ill patients: first, do no harm. Nutr Clin Pract. 2011 Feb;26(1):48-54. doi: 10.1177/0884533610393254. PubMed 21266697 ↗
  • Berger MM, Pichard C. Development and current use of parenteral nutrition in critical care - an opinion paper. Crit Care. 2014 Aug 8;18(4):478. doi: 10.1186/s13054-014-0478-0. PubMed 25184816 ↗
  • Heidegger CP, Berger MM, Graf S, Zingg W, Darmon P, Costanza MC, Thibault R, Pichard C. Optimisation of energy provision with supplemental parenteral nutrition in critically ill patients: a randomised controlled clinical trial. Lancet. 2013 Feb 2;381(9864):385-93. doi: 10.1016/S0140-6736(12)61351-8. Epub 2012 Dec 3. PubMed 23218813 ↗
  • Bader N, Bosy-Westphal A, Dilba B, Muller MJ. Intra- and interindividual variability of resting energy expenditure in healthy male subjects -- biological and methodological variability of resting energy expenditure. Br J Nutr. 2005 Nov;94(5):843-9. doi: 10.1079/bjn20051551. PubMed 16277790 ↗
  • Bosy-Westphal A, Eichhorn C, Kutzner D, Illner K, Heller M, Muller MJ. The age-related decline in resting energy expenditure in humans is due to the loss of fat-free mass and to alterations in its metabolically active components. J Nutr. 2003 Jul;133(7):2356-62. doi: 10.1093/jn/133.7.2356. PubMed 12840206 ↗
  • Gonnissen HK, Adam TC, Hursel R, Rutters F, Verhoef SP, Westerterp-Plantenga MS. Sleep duration, sleep quality and body weight: parallel developments. Physiol Behav. 2013 Sep 10;121:112-6. doi: 10.1016/j.physbeh.2013.04.007. Epub 2013 May 3. PubMed 23643826 ↗
  • Chaput JP, St-Onge MP. Increased food intake by insufficient sleep in humans: are we jumping the gun on the hormonal explanation? Front Endocrinol (Lausanne). 2014 Jul 15;5:116. doi: 10.3389/fendo.2014.00116. eCollection 2014. No abstract available. PubMed 25076940 ↗
  • Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB. PubMed 12900694 ↗
  • Rutten A, Abu-Omar K. Prevalence of physical activity in the European Union. Soz Praventivmed. 2004;49(4):281-9. doi: 10.1007/s00038-004-3100-4. PubMed 15357531 ↗
  • Bosy-Westphal A, Schautz B, Later W, Kehayias JJ, Gallagher D, Muller MJ. What makes a BIA equation unique? Validity of eight-electrode multifrequency BIA to estimate body composition in a healthy adult population. Eur J Clin Nutr. 2013 Jan;67 Suppl 1:S14-21. doi: 10.1038/ejcn.2012.160. PubMed 23299866 ↗

Individual participant data

Plan to share: Yes — The other study centers forward us pseudonymised participant data for evaluation. It might also be possible that we share selected pseudonymised participant data with the other study centers.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 11, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02682537
Lead sponsor
University of Applied Sciences Neubrandenburg
Responsible party
Luzia Valentini (Prof. Dr., University of Applied Sciences Neubrandenburg) — Principal investigator
First posted
Feb 15, 2016
Start date
Mar 2015
Primary completion
Dec 2019 (estimated)
Completion
Dec 2020 (estimated)
Last update
Apr 11, 2018

Study contacts

Luzia Valentini, Prof. Dr.
Contact
valentini@hs-nb.de
+49 395 5693 ext. 2512
Sara Ramminger, M.Sc.
Contact
ramminger@hs-nb.de
+49 395 5693 ext. 1507
Luzia Valentini, Prof. Dr.
principal investigator · Neubrandenburg University of Applied Sciences

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Apr 2018. You cannot join it, but the record below documents what was studied.

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