Evidence map›Paper›PMID 36737709›Full record

ArticleBMC public health2023

Hierarchical multiple regression investigating factors associated with depressive symptoms in the middle-aged and elderly undergoing haemodialysis.

Chou-Ping Chiou, Yu-Ling Bai, Liu-Yuan Lai, Hsiu-Chu Hsieh, Shin-Tsu Chang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 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
2.4field-weighted citation impact, top 12% 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, 12 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

5 authors at 5 institutions in 1 country.

Chou-Ping Chiou *School of Nursing, I-Shou University, Kaohsiung, Taiwan.ORCID 0000-0003-4005-2094
Yu-Ling Bai *Department of Nursing, Chung Hwa University of Medical Technology, Tainan, Taiwan.
Liu-Yuan LaiDepartment of Nursing, Fooyin University Hospital, Pingtung, Taiwan.
Hsiu-Chu HsiehDepartment of Nursing, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
Shin-Tsu ChangDepartment of Physical Medicine and Rehabilitation, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. ccdivlaser1959@gmail.com.ORCID 0000-0001-5769-3977
Chung Hwa University of Medical Technology · TWFooyin University · TWI-Shou University · TWKaohsiung Armed Forces General Hospital · TWKaohsiung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepressive moods are commonly seen in patients who receive haemodialysis. This can cause a lack of compliance in their treatment procedures and increase the rate of hospitalization. This study aimed to investigate the relationship between social support and degree of depression in middle-aged and elderly patients undergoing haemodialysis and the predictors of depressive symptoms.

methodsA cross-sectional correlational study was designed with a structured questionnaire survey. Patients over 40 years of age were included from five haemodialysis centres. Measures embraced a demographic and clinical characteristics questionnaire, the Centre for Epidemiologic Studies Depression Scale, and the Personal Resource Questionnaire 2000. Statistical analysis was performed using hierarchical multiple regression analysis.

resultsA total of 179 patients over 40 years of age were included from five haemodialysis centres in the analysis. The mean CES-D score was 19.0(12.3); the majority of participants (60.3%) had a CES-D score ≥ 15, indicating likely depressive status. The mean PRQ2000 score was 75.7(15.9). The proportional mean of the PRQ2000 was 72.11%, indicating moderate social support for participants in this study. Data disclosed that marital status, number of comorbidities, exercise behaviour, and social support could significantly predict depressive symptoms; total explanatory variance was 31.3%.

conclusionHealth care professionals should identify those at high risk of depressive symptoms when they provide care to the middle-aged and elderly patients undergoing haemodialysis. These findings may lead to greater insights into the nursing and rehabilitative care of patients treated by chronic maintenance haemodialysis.

Indexed as

DepressionRenal DialysisAdultAgedComorbidityCross-Sectional StudiesHumansMiddle AgedSurveys and QuestionnairesDepressive symptomHaemodialysisHealth care professionalMiddle-aged and elderlyRehabilitationSocial support

Identifiers

PMID36737709
PMCPMC9896830
OpenAlexW4319081148

What Socratic holds

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LicenceCC BY
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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 Socratic graph.