Evidence map›Paper›PMID 35065623›Full record

ArticleBMC endocrine disorders2022

Prevalence and predictors of diabetes distress among adults with type 2 diabetes mellitus: a facility-based cross-sectional study of Bangladesh.

A B M Kamrul-Hasan, Mohammad Abdul Hannan, Md Asaduzzaman, Mohammad Motiur Rahman, Muhammad Shah Alam, Mohammad Nurul Amin, Mohammed Ruhul Kabir, Palash Kumar Chanda, Nadia Jannat, Md Zahurul Haque and 3 more

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Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 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

13 authors at 9 institutions in 1 country.

A B M Kamrul-HasanDepartment of Endocrinology, Mymensingh Medical College, Mymensingh, 2207, Bangladesh. rangassmc@gmail.com.ORCID https://orcid.org/0000-0002-5681-6522
Mohammad Abdul HannanDepartment of Endocrinology, North East Medical College, Sylhet, Bangladesh.
Md AsaduzzamanDepartment of Endocrinology, Shaheed Sheikh Abu Naser Specialized Hospital, Khulna, Bangladesh.
Mohammad Motiur RahmanDepartment of Medicine, Rajshahi Medical College Hospital, Rajshahi, Bangladesh.
Muhammad Shah AlamDepartment of Medicine, Army Medical College, Cumilla, Bangladesh.
Mohammad Nurul AminDepartment of Endocrinology, Mugda Medical College, Dhaka, Bangladesh.
Mohammed Ruhul KabirDepartment of Medicine, Sylhet MAG Osmani Medical College, Sylhet, Bangladesh.
Palash Kumar ChandaDepartment of Endocrinology, Mymensingh Medical College Hospital, Mymensingh, Bangladesh.
Nadia JannatDepartment of Endocrinology, Aalok Healthcare & Hospital Ltd., Dhaka, Bangladesh.
Md Zahurul HaqueDepartment of Chronic Diseases, Government Homeopathic Medical College, Dhaka, Bangladesh.
Sanjoy Ranjon BanikDepartment of Endocrinology, Mymensingh Medical College Hospital, Mymensingh, Bangladesh.
Mohammad Jahid HasanPi research consultancy center, Dhaka, Bangladesh. dr.jahid61@gmail.com.
Shahjada SelimDepartment of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Mymensingh Medical College Hospital · BDBangladesh Jute Research Institute · BDBangladesh Medical University · BDComilla Medical College · BDDhaka Medical College and Hospital · BDNorth East University · BDRajshahi Medical College · BDShaheed Suhrawardy Medical College · BDSylhet MAG Osmani Medical College · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes distress (DD) is common and has considerable impacts on diabetes management. Unfortunately, DD is less discussed and frequently underestimated. This study evaluated the prevalence and predictors of DD in adults with type 2 diabetes mellitus (T2DM).

methodsA cross-sectional study was conducted at several specialized endocrinology outpatient clinics in Bangladesh from July 2019 to June 2020; 259 adults with T2DM participated. Participants' DD and depression were measured using the 17-item Diabetes Distress Scale (DDS-17) and 9-item Patient Health Questionnaire (PHQ-9), respectively. DDS-17 scores ≥2 and PHQ-9 scores ≥10 were the cutoffs for DD and significant depression, respectively.

resultsThe mean (±SD) age of the participants was 50.36 (±12.7) years, with the majority (54.8%) being male; their median (IQR) duration of diabetes was 6 (3-11) years. Among the study participants, 52.5% had DD (29.7% moderate and 22.8% high DD). The prevalence of emotional burden, physician-related distress, regimen-related distress, and interpersonal distress was 68.7, 28.6, 66, and 37.7%, respectively. Depression was present in 40.5%; 28.6% of the participants had DD and depression. The total DDS-17 score was positively correlated with the PHQ-9 score (r = 0.325, p < 0.001). Rural residence (OR 1.94), presence of any diabetic complication (OR 3.125), insulin use (OR 2.687), and presence of major depression (OR 4.753) were positive predictors of DD. In contrast, age ≥ 40 years at diabetes diagnosis (OR 0.047) and diabetes duration of > 10 years (OR 0.240) were negative predictors of DD (p < 0.05 in all instances).

conclusionsThe prevalence of DD in our setting is notably high; DD and depression frequently overlap. Screening for diabetes distress may be considered, especially in high-risk patients.

Indexed as

BangladeshCross-Sectional StudiesDepressionDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPrevalenceStress, PsychologicalSurveys and QuestionnairesDDS-17DepressionDiabetes distressPHQ-9T2DM

Identifiers

PMID35065623
PMCPMC8783990
OpenAlexW4206990782

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.