Literature DB >> 24930597

Elevated objectively measured but not self-reported energy intake predicts future weight gain in adolescents.

Eric Stice1, Shelley Durant2.   

Abstract

BACKGROUND: Although obesity putatively occurs when individuals consume more calories than needed for metabolic needs, numerous risk factor studies have not observed significant positive relations between reported caloric intake and future weight gain, potentially because reported caloric intake is inaccurate.
OBJECTIVE: The present study tested the hypothesis that objectively measured habitual energy intake, estimated with doubly labeled water, would show a stronger positive relation to future weight gain than self-reported caloric intake based on a widely used food frequency measure.
DESIGN: Two hundred and fifty-three adolescents completed a doubly labeled water (DLW) assessment of energy intake (EI), a food frequency measure, and a resting metabolic rate (RMR) assessment at baseline, and had their body mass index (BMI) measured at baseline and at 1- and 2-year follow-ups.
RESULTS: Controlling for baseline RMR, elevated objectively measured EI, but not self-reported habitual caloric intake, predicted increases in BMI over a 2-year follow-up. On average, participants under-reported caloric intake by 35%.
CONCLUSIONS: RESULTS provide support for the thesis that self-reported caloric intake has not predicted future weight gain because it is less accurate than objectively measured habitual caloric intake, suggesting that food frequency measures can lead to misleading findings. However, even objectively measured caloric intake showed only a moderate relation to future weight gain, implying that habitual caloric intake fluctuates over time and that it may be necessary to conduct serial assessments of habitual intake to better reflect the time-varying effects of caloric intake on weight gain.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Caloric intake; Doubly labeled water; Prospective; Weight gain

Mesh:

Year:  2014        PMID: 24930597      PMCID: PMC4128488          DOI: 10.1016/j.appet.2014.06.012

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  36 in total

1.  Estimates of nutrient intake from a food frequency questionnaire: the 1987 National Health Interview Survey.

Authors:  G Block; A F Subar
Journal:  J Am Diet Assoc       Date:  1992-08

2.  New methods for calculating metabolic rate with special reference to protein metabolism.

Authors:  J B DE B WEIR
Journal:  J Physiol       Date:  1949-08       Impact factor: 5.182

3.  Use of the body mass index (BMI) as a measure of overweight in children and adolescents.

Authors:  W H Dietz; T N Robinson
Journal:  J Pediatr       Date:  1998-02       Impact factor: 4.406

4.  Evaluation of four methods for determining energy intake in young and older women: comparison with doubly labeled water measurements of total energy expenditure.

Authors:  A L Sawaya; K Tucker; R Tsay; W Willett; E Saltzman; G E Dallal; S B Roberts
Journal:  Am J Clin Nutr       Date:  1996-04       Impact factor: 7.045

5.  Longitudinal changes in fatness in white children: no effect of childhood energy expenditure.

Authors:  M I Goran; R Shewchuk; B A Gower; T R Nagy; W H Carpenter; R K Johnson
Journal:  Am J Clin Nutr       Date:  1998-02       Impact factor: 7.045

6.  Energy intake, not energy output, is a determinant of body size in infants.

Authors:  A J Stunkard; R I Berkowitz; V A Stallings; D A Schoeller
Journal:  Am J Clin Nutr       Date:  1999-03       Impact factor: 7.045

7.  Influence of diet, physical activity and parents' obesity on children's adiposity: a four-year longitudinal study.

Authors:  C Maffeis; G Talamini; L Tatò
Journal:  Int J Obes Relat Metab Disord       Date:  1998-08

8.  Relative dilution spaces of 2H- and 18O-labeled water in humans.

Authors:  S B Racette; D A Schoeller; A H Luke; K Shay; J Hnilicka; R F Kushner
Journal:  Am J Physiol       Date:  1994-10

9.  Relationship between dietary restraint, energy intake, physical activity, and body weight: a prospective analysis.

Authors:  R C Klesges; T R Isbell; L M Klesges
Journal:  J Abnorm Psychol       Date:  1992-11

Review 10.  Role of dietary fat in calorie intake and weight gain.

Authors:  Z S Warwick; S S Schiffman
Journal:  Neurosci Biobehav Rev       Date:  1992       Impact factor: 8.989

View more
  8 in total

1.  Depressed affect and dietary restraint in adolescent boys' and girls' eating in the absence of hunger.

Authors:  Nichole R Kelly; Lauren B Shomaker; Courtney K Pickworth; Mariya V Grygorenko; Rachel M Radin; Anna Vannucci; Lisa M Shank; Sheila M Brady; Amber B Courville; Marian Tanofsky-Kraff; Jack A Yanovski
Journal:  Appetite       Date:  2015-04-29       Impact factor: 3.868

2.  Low energy intake plus low energy expenditure (low energy flux), not energy surfeit, predicts future body fat gain.

Authors:  David John Hume; Sonja Yokum; Eric Stice
Journal:  Am J Clin Nutr       Date:  2016-05-11       Impact factor: 7.045

3.  Misdefined energy flux and increased fatness.

Authors:  Dale A Schoeller
Journal:  Am J Clin Nutr       Date:  2016-11       Impact factor: 7.045

4.  Elevated BMI and Male Sex Are Associated with Greater Underreporting of Caloric Intake as Assessed by Doubly Labeled Water.

Authors:  Eric Stice; Christina A Palmrose; Kyle S Burger
Journal:  J Nutr       Date:  2015-09-02       Impact factor: 4.798

5.  The Remote Food Photography Method Accurately Estimates Dry Powdered Foods-The Source of Calories for Many Infants.

Authors:  Abby F Duhé; L Anne Gilmore; Jeffrey H Burton; Corby K Martin; Leanne M Redman
Journal:  J Acad Nutr Diet       Date:  2016-03-03       Impact factor: 4.910

6.  A Randomized Study of the Effects of Additional Fruit and Nuts Consumption on Hepatic Fat Content, Cardiovascular Risk Factors and Basal Metabolic Rate.

Authors:  Christian Agebratt; Edvin Ström; Thobias Romu; Olof Dahlqvist-Leinhard; Magnus Borga; Per Leandersson; Fredrik H Nystrom
Journal:  PLoS One       Date:  2016-01-20       Impact factor: 3.240

7.  Rapid increase of overweight and obesity among primary school-aged children in the Caribbean; high initial BMI is the most significant predictor.

Authors:  Walaa A Mumena; Isabella Francis-Granderson; Leroy E Phillip; Katherine Gray-Donald
Journal:  BMC Obes       Date:  2018-01-30

8.  Dietary and cardio-metabolic risk factors in patients with Obstructive Sleep Apnea: cross-sectional study.

Authors:  Marta Stelmach-Mardas; Marcin Mardas; Khalid Iqbal; Magdalena Kostrzewska; Tomasz Piorunek
Journal:  PeerJ       Date:  2017-06-21       Impact factor: 2.984

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.