Evidence map›Paper›PMID 35057547›Full record

ArticleNutrients2022

Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes.

Su Hyun Park, Jiali Yao, Xin Hui Chua, Suresh Rama Chandran, Daphne S L Gardner, Chin Meng Khoo, Falk Müller-Riemenschneider, Clare Whitton, Rob M van Dam

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

9 authors at 4 institutions in 4 countries.

Su Hyun ParkSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Jiali YaoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Xin Hui ChuaSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0001-7313-4681
Suresh Rama ChandranDepartment of Endocrinology, Singapore General Hospital, Singapore 169608, Singapore.
Daphne S L GardnerDepartment of Endocrinology, Singapore General Hospital, Singapore 169608, Singapore.
Chin Meng KhooDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.ORCID 0000-0003-1601-2391
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Clare WhittonSchool of Public Health, Curtin University, Perth 6102, Australia.ORCID 0000-0003-1991-2432
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0002-7354-8734
National University of Singapore · SGSingapore General Hospital · SGCurtin University · AUMilken Institute · US

Funding

The Singapore Ministry of Health's National Medical Research Council NRMC/CG/M0092017
6 · The paper itself

Abstract

We examined how dietary and physical activity behaviors influence fluctuations in blood glucose levels over a seven-day period in people at high risk for diabetes. Twenty-eight participants underwent a mixed meal tolerance test to assess glucose homeostasis at baseline. Subsequently, they wore an accelerometer to assess movement behaviors, recorded their dietary intakes through a mobile phone application, and wore a flash glucose monitoring device that measured glucose levels every 15 min for seven days. Generalized estimating equation models were used to assess the associations of metabolic and lifestyle risk factors with glycemic variability. Higher BMI, amount of body fat, and selected markers of hyperglycemia and insulin resistance from the meal tolerance test were associated with higher mean glucose levels during the seven days. Moderate- to vigorous-intensity physical activity and polyunsaturated fat intake were independently associated with less variation in glucose levels (CV%). Higher protein and polyunsaturated fatty acid intakes were associated with more time-in-range. In contrast, higher carbohydrate intake was associated with less time-in-range. Our findings suggest that dietary composition (a higher intake of polyunsaturated fat and protein and lower intake of carbohydrates) and moderate-to-vigorous physical activity may reduce fluctuations in glucose levels in persons at high risk of diabetes.

Indexed as

ExerciseAccelerometryAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2DietDietary CarbohydratesDietary ProteinsEnergy IntakeFatty Acids, UnsaturatedFeeding BehaviorFemaleHumansInsulin ResistanceMaleBlood GlucoseDietary CarbohydratesDietary ProteinsFatty Acids, Unsaturatedaccelerometrydietary intakeglucose monitorglucose variabilitymobile phonephysical activitysedentary behavior

Identifiers

PMID35057547
PMCPMC8781180
OpenAlexW4225872309

What OpenQuestion 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 OpenQuestion graph.