Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
01 Jun 2022
Historique:
received: 28 04 2022
revised: 25 05 2022
accepted: 27 05 2022
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 14 6 2022
Statut: epublish

Résumé

(1) Background: Energy intake (EI) underreporting is a widespread problem of great relevance to public health, yet is poorly described among pregnant women. This study aimed to describe and predict error in self-reported EI across pregnancy among women with overweight or obesity. (2) Methods: Participants were from the Healthy Mom Zone study, an adaptive intervention to regulate gestational weight gain (GWG) tested in a feasibility RCT and followed women (n = 21) with body mass index (BMI) ≥25 from 8−12 weeks to ~36 weeks gestation. Mobile health technology was used to measure daily weight (Wi-Fi Smart Scale), physical activity (activity monitor), and self-reported EI (MyFitnessPal App). Estimated EI was back-calculated daily from measured weight and physical activity data. Associations between underreporting and gestational age, demographics, pre-pregnancy BMI, GWG, perceived stress, and eating behaviors were tested. (3) Results: On average, women were 30.7 years old and primiparous (62%); reporting error was −38% ± 26 (range: −134% (underreporting) to 97% (overreporting)), representing an ~1134 kcal daily underestimation of EI (1404 observations). Estimated (back-calculated), but not self-reported, EI increased across gestation (p < 0.0001). Higher pre-pregnancy BMI (p = 0.01) and weekly GWG (p = 0.0007) was associated with greater underreporting. Underreporting was lower when participants reported higher stress (p = 0.02) and emotional eating (p < 0.0001) compared with their own average. (4) Conclusions: These findings suggest systemic underreporting in pregnant women with elevated BMI using a popular mobile app to monitor diet. Advances in technology that allow estimation of EI from weight and physical activity data may provide more accurate dietary self-monitoring during pregnancy.

Identifiants

pubmed: 35684126
pii: nu14112326
doi: 10.3390/nu14112326
pmc: PMC9183022
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHLBI NIH HHS
ID : R56 HL126799
Pays : United States
Organisme : National Heart Lung and Blood Institute
ID : R56HL126799
Organisme : NCATS NIH HHS
ID : UL1TR000127
Pays : United States
Organisme : National Heart Lung and Blood Institute
ID : R01HL119245-01
Organisme : NCATS NIH HHS
ID : UL1 TR002014
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL119245
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1TR002014
Pays : United States

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Auteurs

Katherine M McNitt (KM)

Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA 16802, USA.

Emily E Hohman (EE)

Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA 16802, USA.

Daniel E Rivera (DE)

Control Systems Engineering Laboratory, Arizona State University, Tempe, AZ 85281, USA.

Penghong Guo (P)

Control Systems Engineering Laboratory, Arizona State University, Tempe, AZ 85281, USA.

Abigail M Pauley (AM)

Exercise Psychology Laboratory, The Pennsylvania State University, University Park, PA 16802, USA.

Alison D Gernand (AD)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA.

Danielle Symons Downs (D)

Exercise Psychology Laboratory, The Pennsylvania State University, University Park, PA 16802, USA.

Jennifer S Savage (JS)

Center for Childhood Obesity Research, Department of Nutritional Sciences, The Pennsylvania State University, State College, PA 16801, USA.

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Classifications MeSH