Evidence mapPaperPMID 33918343Full record

ReviewNutrients2021

Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes.

Yue Qin, Marah Aqeel, Fengqing Zhu, Edward J Delp, Heather A Eicher-Miller

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yue QinDepartment of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-4007-0532
Marah AqeelDepartment of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA.
Fengqing ZhuSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.
Edward J DelpSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.
Heather A Eicher-MillerDepartment of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-1261-4291
Purdue University West Lafayette · US

Funding

Eli Lilly and Company N/A
6 · The paper itself

Abstract

Diabetes is the seventh leading cause of death in United States. Dietary intake and behaviors are essential components of diabetes management. Growing evidence suggests dietary components beyond carbohydrates may critically impact glycemic control. Assessment tools on mobile platforms have the ability to capture multiple aspects of dietary behavior in real-time throughout the day to inform and improve diabetes management and insulin dosing. The objective of this narrative review was to summarize evidence related to dietary behaviors and composition to inform a mobile image-based dietary assessment tool for managing glycemic control of both diabetes types (type 1 and type 2 diabetes). This review investigated the following topics amongst those with diabetes: (1) the role of time of eating occasion on indicators of glycemic control; and (2) the role of macronutrient composition of meals on indicators of glycemic control. A search for articles published after 2000 was completed in PubMed with the following sets of keywords "diabetes/diabetes management/diabetes prevention/diabetes risk", "dietary behavior/eating patterns/temporal/meal timing/meal frequency", and "macronutrient composition/glycemic index". Results showed eating behaviors and meal macronutrient composition may affect glycemic control. Specifically, breakfast skipping, late eating and frequent meal consumption might be associated with poor glycemic control while macronutrient composition and order of the meal could also affect glycemic control. These factors should be considered in designing a dietary assessment tool, which may optimize diabetes management to reduce the burden of this disease.

Indexed as

Mobile ApplicationsNutrition AssessmentAdultBehavior Observation TechniquesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Disease ManagementFeeding BehaviorGlycemic ControlHumansHypoglycemic AgentsInsulinMaleMealsMiddle AgedNutrientsHypoglycemic AgentsInsulinNutrientsdiabetes managementdietary behaviormobile image-based dietary assessment toolnarrative reviewtime of eating

Identifiers

PMID33918343
PMCPMC8066992
OpenAlexW3150176499

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.