Literature DB >> 29717270

Biological and psychological mediators of the relationships between fat mass, fat-free mass and energy intake.

Mark Hopkins1, Graham Finlayson2, Cristiana Duarte2, Catherine Gibbons2, Alexandra M Johnstone3, Stephen Whybrow3, Graham W Horgan4, John E Blundell2, R James Stubbs2.   

Abstract

BACKGROUND: While recent studies in humans indicate that fat-free mass (FFM) is closely associated with energy intake (EI) when in energy balance, associations between fat mass (FM) and EI are inconsistent.
OBJECTIVES: The present study used a cross-sectional design to examine the indirect and direct effects of FFM, FM and resting metabolic rate (RMR) on EI in individuals at or close to energy balance.
METHODS: Data for 242 individuals (114 males; 128 females; BMI = 25.7 ± 4.9 kg/m2) were collated from the non-intervention baseline conditions of five studies employing common measures of body composition (air-displacement plethysmography), RMR (indirect calorimetry) and psychometric measures of eating behaviours (Dutch Eating Behaviour Questionnaire). Daily EI (weighed dietary records) and energy expenditure (flex heart rate) were measured for 6-7 days. Sub-analyses were conducted in 71 individuals who had additional measures of body composition (dual-energy X-ray absorptiometry) and fasting glucose, insulin and leptin.
RESULTS: After adjusting for age, sex and study, linear regression and mediation analyses indicated that the effect of FFM on EI was mediated by RMR (P < 0.05). FM also independently predicted EI, with path analysis indicating a positive indirect association (mediated by RMR; P < 0.05), and a stronger direct negative association (P < 0.05). Leptin, insulin and insulin resistance failed to predict EI, but cognitive restraint was a determinant of EI and partially mediated the association between FM and EI (P < 0.05).
CONCLUSIONS: While the association between FFM and EI was mediated by RMR, FM influenced EI via two separate and opposing pathways; an indirect 'excitatory' effect (again, mediated by RMR), and a stronger direct 'inhibitory' effect. Psychological factors such as cognitive restraint remain robust predictors of EI when considered alongside physiological determinants of EI, and indeed, have the potential to play a mediating role in the overall expression of EI.

Entities:  

Mesh:

Year:  2018        PMID: 29717270     DOI: 10.1038/s41366-018-0059-4

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  2 in total

Review 1.  Techniques for the measurement of human energy expenditure: a practical guide.

Authors:  P R Murgatroyd; P S Shetty; A M Prentice
Journal:  Int J Obes Relat Metab Disord       Date:  1993-10

2.  Overnight and basal metabolic rates in men and women.

Authors:  G R Goldberg; A M Prentice; H L Davies; P R Murgatroyd
Journal:  Eur J Clin Nutr       Date:  1988-02       Impact factor: 4.016

  2 in total
  8 in total

1.  Recharacterizing the Metabolic State of Energy Balance in Thrifty and Spendthrift Phenotypes.

Authors:  Tim Hollstein; Alessio Basolo; Takafumi Ando; Susanne B Votruba; Mary Walter; Jonathan Krakoff; Paolo Piaggi
Journal:  J Clin Endocrinol Metab       Date:  2020-05-01       Impact factor: 5.958

Review 2.  The Rise and Fall of Physiological Theories of the Control of Human Eating Behavior.

Authors:  David A Levitsky; Laura Barre; John Jeshurun Michael; Yingyi Zhong; Yitong He; Alyse Mizia; Sahib Kaila
Journal:  Front Nutr       Date:  2022-05-17

3.  Cognitive dietary restraint, disinhibition, and hunger are associated with 24-h energy expenditure.

Authors:  Emma J Stinson; Alexis L Graham; Marie S Thearle; Marci E Gluck; Jonathan Krakoff; Paolo Piaggi
Journal:  Int J Obes (Lond)       Date:  2019-01-16       Impact factor: 5.095

4.  Predictors of Post-Exercise Energy Intake in Adolescents Ranging in Weight Status from Overweight to Severe Obesity.

Authors:  Nicole Fearnbach; Amanda E Staiano; Neil M Johannsen; Daniel S Hsia; Robbie A Beyl; Owen T Carmichael; Corby K Martin
Journal:  Nutrients       Date:  2022-01-05       Impact factor: 5.717

5.  Variants of the cry 1 gene may influence the effect of fat intake on resting metabolic rate in women with overweight of obesity: a cross-sectional study.

Authors:  Atieh Mirzababaei; Elnaz Daneshzad; Farideh Shiraseb; Sanaz Pourreza; Leila Setayesh; Cain C T Clark; Hadith Tangestani; Faezeh Abaj; Habib Yarizadeh; Khadijeh Mirzaei
Journal:  BMC Endocr Disord       Date:  2021-10-05       Impact factor: 2.763

Review 6.  Dietary Intake and Energy Expenditure in Breast Cancer Survivors: A Review.

Authors:  Sarah A Purcell; Ryan J Marker; Marc-Andre Cornier; Edward L Melanson
Journal:  Nutrients       Date:  2021-09-27       Impact factor: 5.717

7.  Reduced adaptive thermogenesis during acute protein-imbalanced overfeeding is a metabolic hallmark of the human thrifty phenotype.

Authors:  Tim Hollstein; Alessio Basolo; Takafumi Ando; Jonathan Krakoff; Paolo Piaggi
Journal:  Am J Clin Nutr       Date:  2021-10-04       Impact factor: 8.472

8.  Brown adipose tissue volume and 18F-fluorodeoxyglucose uptake are not associated with energy intake in young human adults.

Authors:  Guillermo Sanchez-Delgado; Francisco M Acosta; Borja Martinez-Tellez; Graham Finlayson; Catherine Gibbons; Idoia Labayen; Jose M Llamas-Elvira; Angel Gil; John E Blundell; Jonatan R Ruiz
Journal:  Am J Clin Nutr       Date:  2020-02-01       Impact factor: 7.045

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.