Literature DB >> 26338886

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

Eric Stice1, Christina A Palmrose2, Kyle S Burger3.   

Abstract

BACKGROUND: Inaccuracies in energy intake (EI) measurement hinder identification of risk factors that predict weight gain and evaluation of obesity prevention and treatment interventions. Research has used objective measures of EI to identify underreporting correlates, producing mixed results, suggesting the need to examine novel potential correlates.
OBJECTIVE: With the use of an objective measure of EI from doubly labeled water (DLW) this report examined multiple potential underreporting correlates.
METHODS: Adolescents from 2 studies (study 1, n = 91; mean age: 18.4 ± 0.58 y; 100% female; study 2, n = 162; mean age: 15.2 ± 1.99 y; 82 female adolescents; 80 male adolescents) completed a DLW assessment of EI, a food-frequency questionnaire, and measures of perceived pressure for thinness, thin-ideal internalization, body dissatisfaction, dieting, food-cue reactivity, eating disorder symptoms, socioeconomic status, and neural response to food; BMI (in kg/m(2)) was measured over a 2-y follow-up.
RESULTS: Elevated BMI correlated with underreported EI in study 1 (r = 0.26, P < 0.05) and study 2 (r = 0.20, P = 0.01), as did male sex in study 2 (r = 0.24, P < 0.01); the other survey measures did not. Underreporting correlated negatively (r = -0.29; uncorr P < 0.001) with responsivity of brain regions implicated in motor control to palatable food receipt and positively (r = 0.31; uncorr P < 0.001) with responsivity of a region implicated in taste processing to cues signaling impending milkshake receipt. Underreporting did not predict future change in BMI in either study.
CONCLUSIONS: Findings document marked underreporting and replicate evidence that BMI correlates positively with underreporting and extends this literature by revealing that several novel factors were unrelated to underreporting and further that neural responsivity to food correlated with underreporting, suggesting that adolescents who showed reduced responsivity in a motor control region to food receipt and elevated responsivity of gustatory regions to anticipated palatable food receipt showed greater underreporting. This trial was registered at clinicaltrials.gov as NCT00433680 and NCT02084836.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  doubly labeled water; energy intake; obesity; underreporting; weight gain

Mesh:

Year:  2015        PMID: 26338886      PMCID: PMC4580962          DOI: 10.3945/jn.115.216366

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  35 in total

1.  Magnitude, determinants and impact of under-reporting of energy intake in a cohort study in Greece.

Authors:  C Gnardellis; C Boulou; A Trichopoulou
Journal:  Public Health Nutr       Date:  1998-06       Impact factor: 4.022

2.  Body-image and eating disturbances prospectively predict increases in depressive symptoms in adolescent girls: a growth curve analysis.

Authors:  E Stice; S K Bearman
Journal:  Dev Psychol       Date:  2001-09

3.  Physical activity, total energy expenditure, and food intake in grossly obese and normal weight women.

Authors:  P Platte; K M Pirke; S E Wade; P Trimborn; M M Fichter
Journal:  Int J Eat Disord       Date:  1995-01       Impact factor: 4.861

4.  Risk factors for binge eating onset in adolescent girls: a 2-year prospective investigation.

Authors:  Eric Stice; Katherine Presnell; Diane Spangler
Journal:  Health Psychol       Date:  2002-03       Impact factor: 4.267

5.  Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting.

Authors:  A H Goris; E P Meijer; K R Westerterp
Journal:  Br J Nutr       Date:  2001-05       Impact factor: 3.718

6.  Characteristics of women who frequently under report their energy intake: a doubly labelled water study.

Authors:  F B Scagliusi; E Ferriolli; K Pfrimer; C Laureano; C S F Cunha; B Gualano; B H Lourenço; A H Lancha
Journal:  Eur J Clin Nutr       Date:  2009-07-15       Impact factor: 4.016

7.  Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall: a doubly labeled water study.

Authors:  R K Johnson; R P Soultanakis; D E Matthews
Journal:  J Am Diet Assoc       Date:  1998-10

8.  The Power of Food Scale. A new measure of the psychological influence of the food environment.

Authors:  Michael R Lowe; Meghan L Butryn; Elizabeth R Didie; Rachel A Annunziato; J Graham Thomas; Canice E Crerand; Christopher N Ochner; Maria C Coletta; Dara Bellace; Matthew Wallaert; Jason Halford
Journal:  Appetite       Date:  2009-06-12       Impact factor: 3.868

9.  Evaluating the Power of Food Scale in obese subjects and a general sample of individuals: development and measurement properties.

Authors:  J C Cappelleri; A G Bushmakin; R A Gerber; N K Leidy; C C Sexton; J Karlsson; M R Lowe
Journal:  Int J Obes (Lond)       Date:  2009-06-09       Impact factor: 5.095

10.  An effectiveness trial of a dissonance-based eating disorder prevention program for high-risk adolescent girls.

Authors:  Eric Stice; Paul Rohde; Jeff Gau; Heather Shaw
Journal:  J Consult Clin Psychol       Date:  2009-10
View more
  16 in total

1.  Association between habitual dietary and lifestyle behaviours and skin autofluorescence (SAF), a marker of tissue accumulation of advanced glycation endproducts (AGEs), in healthy adults.

Authors:  Nicole J Kellow; Melinda T Coughlan; Christopher M Reid
Journal:  Eur J Nutr       Date:  2017-06-27       Impact factor: 5.614

2.  Urinary Excretion of Sodium, Nitrogen, and Sugar Amounts Are Valid Biomarkers of Dietary Sodium, Protein, and High Sugar Intake in Nonobese Adolescents.

Authors:  Lori B Moore; Sarah V Liu; Tanya M Halliday; Andrew P Neilson; Valisa E Hedrick; Brenda M Davy
Journal:  J Nutr       Date:  2017-09-20       Impact factor: 4.798

3.  Associations of sleep patterns with metabolic syndrome indices, body composition, and energy intake in children and adolescents.

Authors:  Sarah J Mi; Nichole R Kelly; Robert J Brychta; Anne Claire Grammer; Manuela Jaramillo; Kong Y Chen; Laura A Fletcher; Shanna B Bernstein; Amber B Courville; Lisa M Shank; Jeremy J Pomeroy; Sheila M Brady; Miranda M Broadney; Marian Tanofsky-Kraff; Jack A Yanovski
Journal:  Pediatr Obes       Date:  2019-01-31       Impact factor: 4.000

4.  The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire.

Authors:  Luis Maria Bejar; Brett Northrop Sharp; María Dolores García-Perea
Journal:  JMIR Res Protoc       Date:  2016-11-02

5.  Crave, Like, Eat: Determinants of Food Intake in a Sample of Children and Adolescents with a Wide Range in Body Mass.

Authors:  Johannes Hofmann; Adrian Meule; Julia Reichenberger; Daniel Weghuber; Elisabeth Ardelt-Gattinger; Jens Blechert
Journal:  Front Psychol       Date:  2016-09-21

6.  Association of Proton Pump Inhibitor (PPI) Use with Energy Intake, Physical Activity, and Weight Gain.

Authors:  Jennifer L Czwornog; Gregory L Austin
Journal:  Nutrients       Date:  2015-10-19       Impact factor: 5.717

7.  Total Energy Expenditure in Obese Kuwaiti Primary School Children Assessed by the Doubly-Labeled Water Technique.

Authors:  Lena Davidsson; Jameela Al-Ghanim; Tareq Al-Ati; Nawal Al-Hamad; Anwar Al-Mutairi; Lulwa Al-Olayan; Thomas Preston
Journal:  Int J Environ Res Public Health       Date:  2016-10-13       Impact factor: 3.390

Review 8.  Insulin Sensitivity and Glucose Homeostasis Can Be Influenced by Metabolic Acid Load.

Authors:  Lucio Della Guardia; Michael Alex Thomas; Hellas Cena
Journal:  Nutrients       Date:  2018-05-15       Impact factor: 5.717

9.  Comparison of 3 Nutritional Questionnaires to Determine Energy Intake Accuracy in Iranian Adults.

Authors:  Shima Moradi; Yahya Pasdar; Behrooz Hamzeh; Farid Najafi; Seyed Mostafa Nachvak; Roghayeh Mostafai; Parisa Niazi; Mansour Rezaei
Journal:  Clin Nutr Res       Date:  2018-07-30

10.  Dutch food bank recipients have poorer dietary intakes than the general and low-socioeconomic status Dutch adult population.

Authors:  J E Neter; S C Dijkstra; A L M Dekkers; M C Ocké; M Visser; I A Brouwer
Journal:  Eur J Nutr       Date:  2017-10-03       Impact factor: 5.614

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.