Evidence map›Paper›PMID 32455131›Full record

ArticleJournal of diabetes research2020

How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not.

Mohammad Farris Iman Leong Bin Abdullah, Hatta Sidi, Arun Ravindran, Paula Junggar Gosse, Emily Samantha Kaunismaa, Roslyn Laurie Mainland, Norlaila Mustafa, Nurul Hazwani Hatta, Puteri Arnawati, Amelia Yasmin Zulkifli and 1 more

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In one paragraph

Article in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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

11 authors at 5 institutions in 3 countries.

Mohammad Farris Iman Leong Bin AbdullahAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Malaysia.ORCID https://orcid.org/0000-0002-7762-4052
Hatta SidiDepartment of Psychiatry, Universiti Kebangsaan Malaysia Medical Centre, Malaysia.
Arun RavindranCentre for Addiction and Mental Health, University of Toronto, Canada.
Paula Junggar GosseFaculty of Medicine, University of Toronto, Canada.
Emily Samantha KaunismaaFaculty of Medicine, University of Toronto, Canada.
Roslyn Laurie MainlandFaculty of Medicine, University of Toronto, Canada.
Norlaila MustafaDepartment of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Malaysia.
Nurul Hazwani HattaUniversity of Galway, Ireland.
Puteri ArnawatiUniversity of Galway, Ireland.
Amelia Yasmin ZulkifliUniversity of Galway, Ireland.
Luke Sy-Cherng WoonDepartment of Psychiatry, Universiti Kebangsaan Malaysia Medical Centre, Malaysia.ORCID https://orcid.org/0000-0002-8216-0694
Ollscoil na Gaillimhe – University of Galway · IEUniversity Kebangsaan Malaysia Medical Centre · MYUniversity of Toronto · CACentre for Addiction and Mental Health · CAUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes mellitus is one of the most common noncommunicable diseases in Malaysia. It is associated with significant complications and a high cost of treatment, especially when glycaemic control is poor. Despite its negative impact on health, data is still lacking on the possible biopsychosocial predictors of poor glycaemic control among the diabetic population. This study is aimed at determining the prevalence of poor glycaemic control as well as its association with biopsychosocial factors such as personality traits, psychiatric factors, and quality of life (QOL) among Malaysian patients with diabetes.

methodsA cross-sectional study was conducted at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using outpatient population diabetic patients. Demographic data on social and clinical characteristics were collected from participants. Several questionnaires were administered, including the Beck Depression Inventory-II (BDI-II) to measure depressive symptoms, the Generalized Anxiety Disorder-7 (GAD-7) to assess anxiety symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the WHO Quality of Life-BREF (WHOQOL-BREF) to assess QOL. Multivariate binary logistic regression was performed to determine the predictors of poor glycaemic control.

results300 patients with diabetes mellitus were recruited, with the majority (90%) having type 2 diabetes. In this population, the prevalence of poor glycaemic control (HbA

conclusionThis study emphasizes the importance of considering the various factors that contribute to poor glycaemic control, such as duration of diabetes, medication adherence, age, and QOL. These findings should be used by clinicians, particularly when planning a multidisciplinary approach to the management of diabetes.

Indexed as

AdultAgedAge FactorsBlood GlucoseCross-Sectional StudiesDiabetes MellitusFemaleGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsMalaysiaMaleMedication AdherenceMiddle AgedPsychologyBlood GlucoseGlycated HemoglobinHypoglycemic Agents

Identifiers

PMID32455131
PMCPMC7222480
OpenAlexW3022045498

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.