Evidence map›Paper›PMID 40547769›Full record

ArticleJournal of family medicine and primary care2025

A study to determine the relationship between sleep quality and socioeconomic status of the nursing officers working in a selected hospital, Bhubaneswar.

Indrani Sen, Anannya Chatterjee, Ishita Bhattacharya, Soudamini Pahi, R Asokan, Chandan Pradhan, Minati Das, Nibedita Mohanty

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. 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

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.

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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

8 authors.

Indrani SenM.Sc Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
Anannya ChatterjeeM.Sc Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
Ishita BhattacharyaM.Sc Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
Soudamini PahiM.Sc Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
R AsokanDepartment of Medical Surgical Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
Chandan PradhanDepartment of Medical Surgical Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
Minati DasDepartment of Medical Surgical Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.
Nibedita MohantyDepartment of Medical Surgical Nursing, Kalinga Institute of Nursing Sciences (KINS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep is a vital biological function, critical for maintaining physical and mental health. Nursing officers, because of their demanding shift work, often experience disrupted sleep patterns. This study aims to determine the association between sleep quality and socioeconomic status among nursing officers in a selected hospital in Bhubaneswar. Methods: A descriptive cross-sectional study was conducted using the Pittsburgh Sleep Quality Index (PSQI) and Modified Kuppuswamy Scale. An online questionnaire using Google Forms was distributed to 236 nursing officers aged over 25 years. Exclusion criteria included officers on maternity leave, those with a history of sleep disorders, chronic illnesses affecting sleep, and those on sleep-inducing medication. Data analysis was performed using SPSS version 29, with descriptive statistics and Kruskal-Wallis tests used to examine bivariate associations. Results: The majority of participants (66.5%) were aged 25-30 years, with 75.8% being female and 80.9% unmarried, and socioeconomic status was assessed through educational qualifications, occupation, and family income. While there was no significant difference in PSQI scores based on age, gender, and educational qualifications, a significant association was found between PSQI scores and both occupation ( Conclusion: The study highlights a significant association between sleep quality and socioeconomic factors such as occupation and family income among nursing officers. These findings suggest that socioeconomic disparities contribute to variations in sleep quality, emphasizing the need for targeted interventions to improve sleep health among nursing professionals.

Indexed as

Good HealthNursing officersleep qualitysocioeconomic statuswellbeing

Identifiers

PMID40547769
PMCPMC12178536

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LicenceCC BY-NC-SA
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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.