Evidence map›Paper›PMID 37255792›Full record

ArticleJournal of diabetes and metabolic disorders2023

Health literacy and self-efficacy of the elderly with diabetes.

Abdollah Goli Roshan, Seyedeh Navabeh Hosseinkhani, Reza Norouzadeh

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 16 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

3 authors at 1 institution in 1 country.

Abdollah Goli RoshanDepartment of Nursing, Faculty of Nursing and Midwifery, Shahed University, Opposite Holy Shrine of Imam Khomeini,Khalij Fars Expresswa, 3319118651 P.O.Box 18155/159, Tehran, Iran.
Seyedeh Navabeh HosseinkhaniDepartment of Nursing, Faculty of Nursing and Midwifery, Shahed University, Opposite Holy Shrine of Imam Khomeini,Khalij Fars Expresswa, 3319118651 P.O.Box 18155/159, Tehran, Iran.
Reza NorouzadehDepartment of Nursing, Faculty of Nursing and Midwifery, Shahed University, Opposite Holy Shrine of Imam Khomeini,Khalij Fars Expresswa, 3319118651 P.O.Box 18155/159, Tehran, Iran.ORCID 0000-0002-3044-1910
Shahed University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to investigate the relationship between health literacy and self-efficacy in the elderly with diabetes. Method: This cross-sectional study was conducted on 375 diabetic elderly members from a diabetes association, in Iran. Self-efficacy and health literacy questionnaires were used. The Pearson test was used to determine the relationship between self-efficacy and health literacy and linear regression was used to predict self-efficacy by health literacy. Results: Elderly men and women with diabetes showed a significant difference in terms of health literacy (P = 0.003). People over the age of 70 had a lower level of literacy (P < 0.05). The highest and lowest self-efficacy in the elderly patients were related to taking medications (89.75 ± 17.56) and physical activity (71.38 ± 24.40), respectively. The results of stepwise linear regression showed that health literacy is a predictor of self-efficacy in the diabetic elderly (r Conclusion: Health literacy is directly related to self-efficacy in older people with diabetes. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01181-w.

Indexed as

DiabetesElderlyHealth literacySelf-efficacy

Identifiers

PMID37255792
PMCPMC10225399
OpenAlexW4315798232

What OpenQuestion holds

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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.