ArticleThe journal of nutrition, health & aging2022
Determinants of Resting Energy Expenditure in Very Old Nursing Home Residents.
Article in The journal of nutrition, health & aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Energy and protein nutrition adequacy in general wards among intensive care unit survivors: A systematic review and meta-analysis.JPEN. Journal of parenteral and enteral nutrition · 2025Pooled it
- Energy Adequacy of Planned Diets in Institutionalized Older Adults: A Scenario Analysis Based on Requirements from Indirect Calorimetry.Nutrients · 2026Article
- Applicability of resting energy expenditure prediction equations in Chinese nursing home residents.Frontiers in nutrition · 2026Article
- Association of resting energy expenditure with phase angle in hospitalized older patients: a cross-sectional analysis.European journal of clinical nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to measure resting energy expenditure (REE) in institutionalized old persons and to determine factors possibly related to change in REE as a basis for estimating energy requirements. DESIGN AND SETTINGS: A monocentric cross-sectional study was conducted. Statistical approaches were conducted to determine independent factors associated with REE. Various published predictive equations of REE were compared to our population.
participants72 residents of a nursing home, mostly women (80.5%) aged 87.4±6.6 years were included. MEASUREMENTS: REE (indirect calorimetry), body composition (bio-impedance analysis), biological and anthropometric data were collected.
resultsMean REE was 1006±181 kcal/d and was higher in men than in (1227±195 vs. 953±131 kcal/d, p<0.05). According to criteria adapted from the Global Leadership Initiative on Malnutrition consensus, 65.3 % of the institutionalized population were malnourished. In multivariate analysis adjusted on gender and age, REE was positively associated with calorie intake, fat-free mass (FFM), functional abilities (French Autonomie Gérontologie Groupe Iso Ressources scale), and elevated CRP level (> 25 mg/l). Significant differences (p<0.05) appeared between measured REE and predicted REE by using various published equations.
conclusionREE of very old nursing home residents is influenced by FFM, calorie intake, functional abilities, and CRP levels and is poorly predicted by classical equations based on age, gender, height, and weight. This suggests a metabolic adaptation to caloric restriction and inflammation and prompts to consider the level of physical activity and muscle loss when assessing caloric requirements in this population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.