Evidence map›Paper›PMID 25695007›Full record

ArticleMedical journal of the Islamic Republic of Iran2014

Sleep quality and associated factors among patients with chronic heart failure in Iran.

Mina Moradi, Neda Mehrdad, Soghra Nikpour, Hamid Haghani, Maryam Aalaa, Mahnaz Sanjari, Farshad Sharifi

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 citing papers in PubMed.

  1. Trial
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  9. Review
  10. Sleep Quality in Patients with Heart Failure in the Spanish Population: A Cross-Sectional Study.International journal of environmental research and public health · 2020
    Article
  11. Article
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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

7 authors.

Mina Moradi1. BSc, MSc in Nursing, Teacher in School of Nursing & Midwifery, Tehran University of Medical Sciences, Tehran, Iran. m.moraditeacher@gmail.com.
Neda Mehrdad2. MSc, PHD in Nursing, Associate Professor, Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences & Center for Nursing Care Research, Iran University of Medical Sciences, Tehran, Iran. nmehrdad@tums.ac.ir.
Soghra Nikpour3. BSc, MSC in Nursing, Assistant Professor, Center for Nursing Care Research, School of Nursing & Midwifery, Iran University of Medical Sciences, Tehran, Iran. s-nikpour@iums.ac.ir.
Hamid Haghani4. MSc in Biostatistics. Faculty Member School of Public Health, Iran University of Medical Sciences, Tehran, Iran. haghani511@yahoo.com.
Maryam Aalaa5. BSc in Nursing, MSc in Medical Education, Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. maryam_aalaa@yahoo.com.
Mahnaz Sanjari6. Sc, MSc. PhD Student in Nursing, Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute. Tehran University of Medical Sciences, Tehran, Iran. sanjarim@yahoo.com.
Farshad Sharifi7. MD, PhD by research Students, Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences & Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran. sharifi.tums.ac@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disorders are common among patients with chronic heart failure (HF), and it can have a significant effect on patients' daily activities as well as their health. The purpose of this study was to assess sleep quality and its predictors in Iranian patients with chronic HF.

methodsThis cross-sectional study was conducted on a sample of 200 patients with HF in two hospitals of Tehran University of Medical Sciences from June to November 2009. These patients completed a demographic questionnaire, and their sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). One-way analysis of variance (ANOVA), Kruskal-Wallis test, t-test and Linear regression were used for data analysis.

resultsSeventy-nine percent of patients (n = 158) reported poor sleep quality (PSQI > 5). The range of global PSQI scores was 3-20. Also, a significant relationship was found between PSQI scores and patients' age (p<0.004), gender (p< 0.042), educational level (p< 0.001), occupational status (p< 0.038), number of hospitalizations (p< 0.005), type of referral (p< 0.001), non-cardiac diseases (p< 0.001), diuretic use (p< 0.021) and left ventricular ejection fraction (p< 0.015). Three predictors were identified using regression analyses with stepwise methods, and included age, type of referral and educational level.

conclusionThe high prevalence of poor sleep quality highlighted the importance of sleep disorders in HF patients. There are many factors associated with sleep quality and sleep disorders that health providers should recognize for improved and effective management.

Indexed as

Heart FailureSleep DisorderSleep Quality

Identifiers

PMID25695007
PMCPMC4322339

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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.