Literature DB >> 9665683

Fasting respiratory quotient as a predictor of weight changes in non-obese women.

M Marra1, L Scalfi, A Covino, A Esposito-Del Puente, F Contaldo.   

Abstract

OBJECTIVE: To detect predictive variables of weight changes in non-obese women.
DESIGN: Three year follow-up study.
SUBJECTS: Fifty-eight women (age 40.0+/-12.8 y, height 159+/-7 cm, weight 62.5+/-9.6 kg and body mass index ((BMI) 24.7+/-3.7 kg/m2). MEASUREMENTS: At baseline, basal metabolic rate (BMR) and respiratory quotient (RQ) by indirect calorimetry. Weight and BMI at baseline and after 3 y.
RESULTS: In both univariate and multivariate analyses, age and RQ at baseline were significant predictors (P<0.05) of subsequent changes in weight and BMI.
CONCLUSION: In non-obese women, RQ and age are independent predictors of subsequent weight changes.

Entities:  

Mesh:

Year:  1998        PMID: 9665683     DOI: 10.1038/sj.ijo.0800612

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  21 in total

1.  High respiratory quotient is associated with increases in body weight and fat mass in young adults.

Authors:  R P Shook; G A Hand; A E Paluch; X Wang; R Moran; J R Hébert; J M Jakicic; S N Blair
Journal:  Eur J Clin Nutr       Date:  2015-11-25       Impact factor: 4.016

2.  Baseline Metabolic Variables Do Not Predict Weight Regain in Premenopausal Women.

Authors:  Catia Martins; Barbara A Gower; Gary R Hunter
Journal:  Obesity (Silver Spring)       Date:  2020-05       Impact factor: 5.002

Review 3.  The relationship between substrate metabolism, exercise and appetite control: does glycogen availability influence the motivation to eat, energy intake or food choice?

Authors:  Mark Hopkins; Asker Jeukendrup; Neil A King; John E Blundell
Journal:  Sports Med       Date:  2011-06-01       Impact factor: 11.136

4.  Respiratory quotient predicts fat mass gain in premenopausal women.

Authors:  Amy C Ellis; Tanya C Hyatt; Gary R Hunter; Barbara A Gower
Journal:  Obesity (Silver Spring)       Date:  2010-05-06       Impact factor: 5.002

5.  Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor.

Authors:  Barbara Ukropcova; Michele McNeil; Olga Sereda; Lilian de Jonge; Hui Xie; George A Bray; Steven R Smith
Journal:  J Clin Invest       Date:  2005-07       Impact factor: 14.808

6.  Human Resting Energy Expenditure Varies with Circadian Phase.

Authors:  Kirsi-Marja Zitting; Nina Vujovic; Robin K Yuan; Cheryl M Isherwood; Jacob E Medina; Wei Wang; Orfeu M Buxton; Jonathan S Williams; Charles A Czeisler; Jeanne F Duffy
Journal:  Curr Biol       Date:  2018-11-08       Impact factor: 10.834

7.  Prospective association between fasting NEFA and type 2 diabetes: impact of post-load glucose.

Authors:  D Il'yasova; F Wang; R B D'Agostino; A Hanley; L E Wagenknecht
Journal:  Diabetologia       Date:  2010-02-09       Impact factor: 10.122

8.  The adaptive metabolic response to exercise-induced weight loss influences both energy expenditure and energy intake.

Authors:  M Hopkins; C Gibbons; P Caudwell; P M Hellström; E Näslund; N A King; G Finlayson; J E Blundell
Journal:  Eur J Clin Nutr       Date:  2014-01-08       Impact factor: 4.016

Review 9.  Exercise, abdominal obesity, skeletal muscle, and metabolic risk: evidence for a dose response.

Authors:  Cris A Slentz; Joseph A Houmard; William E Kraus
Journal:  Obesity (Silver Spring)       Date:  2009-12       Impact factor: 5.002

10.  Individual responsiveness to exercise-induced fat loss is associated with change in resting substrate utilization.

Authors:  Nicholas D Barwell; Dalia Malkova; Melanie Leggate; Jason M R Gill
Journal:  Metabolism       Date:  2009-06-18       Impact factor: 8.694

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