ArticleBMC women's health2024
The relationship between resting metabolic rate and quality of life is moderated by age and body composition in women: a cross-sectional study.
Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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3 citing papers in PubMed, 2 citations in OpenAlex.
- Routine metabolic rate is not associated with boldness in zebrafish.Biology open · 2026Article
- Age modulates, religious coping mediates: the role of attitude to self in cancer patients' quality of life.Frontiers in psychology · 2025Article
- Factors affecting aesthetic results in patients undergoing craniofacial reconstruction following maxillofacial trauma.American journal of translational research · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
backgroundHealth-related quality of life (HRQOL) is related to body composition, which is also related to resting metabolic rate (RMR). RMR can be increased by exercise and diet interventions that are not dependent on changes in body composition, so a link between RMR and HRQOL may provide interventions that directly improve HRQOL in women.
methodsOne hundred twenty women (median age 63.5 [IQR: 53.0-71.0] years) completed one-time measurement of body composition (multi-frequency bioelectrical impedance), RMR (handheld calorimetry), and HRQOL (RAND-36). Physical (PCS) and mental (MCS) composite scores were calculated for the RAND-36. Pearson correlations were used to identify relationships between RMR, body composition, and HRQOL. Variables at the p < .01 level were entered into multiple regression models.
resultsMedian body mass index was 26.1 [IQR: 23.2-30.9] kg/m
conclusionIn women, the relationship between RMR and HRQOL is moderated by age and body composition. Understanding these pathways will allow clinicians and researchers to direct interventions more effectively.
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