Literature DB >> 26522666

Evaluation of different methods to handle misreporting in obesity research: evidence from the Canadian national nutrition survey.

Mahsa Jessri1, Wendy Y Lou2, Mary R L'Abbé1.   

Abstract

The association of dietary exposures with health outcomes may be attenuated or reversed as a result of energy intake (EI) misreporting. This study evaluated several methods for dealing with implausible recalls when analysing the association between dietary factors and obesity. We examined data from 16,187 Canadians aged ≥12 years in the nationally representative Canadian Community Health Survey 2.2. Under- and over-reporting were defined as the ratio of EI:estimated energy requirement <0·7 and >1·42, respectively. Multinomial logistic regression-generalised logit model was conducted to test the utility of different methods for handling misreporting, including (a) adjusting for variables related to misreporting, (b) excluding misreported recalls, (c) adjusting for reporting groups (under-, plausible and over-reporters), (d) adjusting for propensity score and (e) stratifying the analyses by reporting groups. In the basic model, EI showed a negative association with overweight (OR 0·988; 95% CI 0·979, 0·998) and obesity (OR 0·989; 95% CI 0·977, 0·999). Similarly, the association between total energy density and overweight (OR 0·670; 95% CI 0·487, 0·923) and obesity (OR 0·709; 95% CI 0·495, 1·016) was inverse. Among all methods of handling misreporting, adjusting for the reporting status revealed the most satisfactory results, where a positive association between EI and overweight (OR 1·037; 95% CI 1·019, 1·055) and obesity (OR 1·109; 95% CI 1·082, 1·137) was observed (P<0·0001), as well as direct positive associations between energy density and percentage energy from solid fats and added sugars with obesity (P<0·05). The results of this study can help advance knowledge about the relationship between dietary variables and obesity and demonstrate to researchers and nutrition policy makers the importance of adjusting for recall plausibility in obesity research, which is highly relevant in light of global obesity epidemic.

Entities:  

Keywords:  CCHS Canadian Community Health Survey; EER estimated energy requirement; EI energy intake; Energy intake; Energy misreporting; Implausible dietary recalls; Obesity; PAL physical activity level; SoFAS solid fats and added sugars

Mesh:

Year:  2015        PMID: 26522666     DOI: 10.1017/S0007114515004237

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  36 in total

1.  Scientific rigor and credibility in the nutrition research landscape.

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2.  Tolerable upper intake level for dietary sugars.

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Journal:  EFSA J       Date:  2022-02-28

3.  Dietary Mediators of the Genetic Susceptibility to Obesity-Results from the Quebec Family Study.

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Journal:  J Nutr       Date:  2022-01-11       Impact factor: 4.798

4.  Misreporting of dietary energy intake obtained by 24 h recalls in older adults: a comparison of five previous methods using doubly labeled water.

Authors:  Lais Duarte Batista; Natasha Aparecida Grande de França; Mariane de Mello Fontanelli; Angela Graciela Martinez-Arroyo; Regina Mara Fisberg
Journal:  Eur J Clin Nutr       Date:  2021-08-30       Impact factor: 4.016

5.  Associations between dietary patterns and cardiovascular disease risk in Canadian adults: a comparison of partial least squares, reduced rank regression, and the simplified dietary pattern technique.

Authors:  Svilena V Lazarova; Mahsa Jessri
Journal:  Am J Clin Nutr       Date:  2022-08-04       Impact factor: 8.472

6.  Dietary underreporting in women affected by polycystic ovary syndrome: A pilot study.

Authors:  Rachele De Giuseppe; Valentina Braschi; David Bosoni; Ginevra Biino; Fatima C Stanford; Rossella E Nappi; Hellas Cena
Journal:  Nutr Diet       Date:  2018-08-05       Impact factor: 2.333

7.  Temporal Dietary Patterns Are Associated with Obesity in US Adults.

Authors:  Marah M Aqeel; Jiaqi Guo; Luotao Lin; Saul B Gelfand; Edward J Delp; Anindya Bhadra; Elizabeth A Richards; Erin Hennessy; Heather A Eicher-Miller
Journal:  J Nutr       Date:  2020-12-10       Impact factor: 4.798

8.  Associations between Diet Quality and Body Composition in Young Children Born with Very Low Body Weight.

Authors:  Meghan McGee; Sharon Unger; Jill Hamilton; Catherine S Birken; Zdenka Pausova; Alex Kiss; Nicole Bando; Deborah L O'Connor
Journal:  J Nutr       Date:  2020-11-19       Impact factor: 4.798

9.  The effect of different methods to identify, and scenarios used to address energy intake misestimation on dietary patterns derived by cluster analysis.

Authors:  Geraldine Lo Siou; Alianu K Akawung; Nathan M Solbak; Kathryn L McDonald; Ala Al Rajabi; Heather K Whelan; Sharon I Kirkpatrick
Journal:  Nutr J       Date:  2021-05-08       Impact factor: 3.271

10.  The enriched home environment and dietary intake are related to percent overBMI in children.

Authors:  Leonard H Epstein; Katelyn A Carr; Catherine Guth; Lilianna Shapiro; Lucia A Leone; Jennifer L Temple
Journal:  Prev Med Rep       Date:  2021-06-04
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