Evidence map›Paper›PMID 39211462›Full record

ArticleBelitung nursing journal2024

Diabetes self-management and its influencing factors among adults with type 2 diabetes mellitus in rural Sri Lanka: A cross-sectional study.

Samantha Sandamali Premadasa, Khemaradee Masingboon, Niphawan Samartkit

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In one paragraph

Article in Belitung nursing journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Samantha Sandamali PremadasaMaster of Nursing Science Program Adult Nursing (International Program), Faculty of Nursing, Burapha University, Chon Buri, Thailand.ORCID https://orcid.org/0000-0002-7636-8034
Khemaradee MasingboonFaculty of Nursing, Burapha University, Chon Buri, Thailand.ORCID https://orcid.org/0000-0002-6278-7860
Niphawan SamartkitFaculty of Nursing, Burapha University, Chon Buri, Thailand.ORCID https://orcid.org/0000-0002-8193-3042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes Self-Management (DSM) is pivotal in managing diabetes. However, poor engagement in DSM has been observed in rural Sri Lankan settings. Thus, identifying factors influencing DSM is crucial for nurses and other healthcare professionals. Objectives: This study aimed to describe DSM among adults with Type 2 Diabetes Mellitus (T2DM) in rural Sri Lanka and to examine whether perceived stress, health literacy, self-efficacy, and family support can predict DSM among adults with T2DM in rural Sri Lanka. Methods: This correlational predictive study used a simple random sampling technique to recruit 160 adults with T2DM from an outpatient clinic at a secondary care hospital in a rural area of Sri Lanka. Data were collected from March to April 2024 using socio-demographic and standardized questionnaires to examine predictive factors of DSM, including perceived stress, health literacy, self-efficacy, and family support. Data analysis was conducted using descriptive statistics and standard multiple linear regression analysis. Results: Approximately half of the participants had uncontrolled T2DM (Fasting Plasma Glucose (FPG) >126) and sub-optimal DSM. The analysis revealed that all variables could explain 39.3% of the variance in DSM among rural Sri Lankan adults with T2DM. However, DSM was significantly predicted by self-efficacy (β = 0.530, Conclusion: The findings emphasized the need for further development of interventions to increase self-efficacy and reduce harmful family involvement to enhance DSM among adults with T2DM. Nurses and other healthcare providers should target family members' engagement to improve self-efficacy among this population.

Indexed as

adultblood glucosediabetes self-managementfamily supporthealth literacyperceived stressself-efficacySri Lankatype 2 diabetes mellitus

Identifiers

PMID39211462
PMCPMC11350352

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LicenceCC BY-NC
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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.