Evidence map›Paper›PMID 33542669›Full record

ArticlePatient related outcome measures2021

Prevalence of Diabetes Related Distress and Associated Factors Among Type 2 Diabetes Patients Attending Hospitals, Southwest Ethiopia, 2020: A Cross-Sectional Study.

Bonsa Amsalu Geleta, Sanbato Tamiru Dingata, Milkias Dugassa Emanu, Lemi Bacha Eba, Kebebe Bidira Abera, Dereje Tsegaye

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Article in Patient related outcome measures, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

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23citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Predictors Affecting Diabetes Related Distress among Diabetes Patients.The Malaysian journal of medical sciences : MJMS · 2022
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bonsa Amsalu GeletaDepartment of Nursing, College of Health Sciences, Mettu University, Mettu, Ethiopia.ORCID 0000-0002-3803-6514
Sanbato Tamiru DingataDepartment of Nursing, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Milkias Dugassa EmanuDepartment of Nursing, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Lemi Bacha EbaDepartment of Nursing, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Kebebe Bidira AberaDepartment of Nursing, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Dereje TsegayeDepartment of Public Health, College of Health Sciences, Mettu University, Mettu, Ethiopia.ORCID 0000-0001-7358-5423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes related distress is the most common psychological co-morbid condition among type 2 diabetes patients. However, although the number of people living with diabetes has continued to increase over the last 10 years, information regarding diabetes related distress is limited in Ethiopia.

objectiveThe present study aimed to assess the prevalence of diabetes related distress and associated factors among type 2 diabetes patients attending hospitals in Southwest Ethiopia.

methodsA cross-sectional study was employed on 360 type 2 diabetes patients attending hospitals from January 1 to March 30, 2020. Convenient sampling technique was used to select study participants. Data were entered into EpiData manager version 4.2.2 and exported to Statistical Package for the Social Sciences (SPSS) version 20.0 and analyzed using descriptive statistics, bivariate and multivariate logistic regressions. The statistical significance was set at P < 0.05.

resultsOut of a total 360 patients recruited, 321 (89.2%) patients (201 male and 120 female) were involved in the study. The mean age of the participants was 41.3 (SD = 12.8) years. The prevalence of diabetes related distress was 118 (36.8%) in which emotional distress was the most prevalent (43.6%) domain. Level of education [AOR 4.55; 95% CI: 1.28-16.19], family or social support [AOR 0.62; 95% CI: 0.33-1.06], duration of diabetes [AOR 0.75; 95% CI: 0.35-1.55], having diabetes complications [AOR 1.98; 95% CI: 1.0-3.86], smoking status [AOR 1.6; 95% CI: 1.12-2.97] and alcohol consumption status [AOR 1.4; 95% CI: 1.07-2.53] were the identified factors of diabetes related distress.

conclusionDiabetes related distress was highly prevalent in type 2 diabetes patients. Healthcare providers need to address this through integrating psychosocial care with collaborative medical care.

Indexed as

associated factorsdiabetes distressdiabetes mellitusprevalence

Identifiers

PMID33542669
PMCPMC7850978

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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.