Evidence map›Paper›PMID 40201880›Full record

ArticleCureus2025

Influence of Sociodemographic, Personal, and Lifestyle Factors on Sleep Quality and Stress-Coping Strategies Among Trainees in a Tertiary Hospital.

Ryan O Alinab, Pearl Angeli B Diamante

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ryan O AlinabDepartment of Neurology, The Medical City, Quezon City, PHL.
Pearl Angeli B DiamanteDepartment of Neurology, The Medical City, Pasig City, PHL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealthcare workers, especially physician trainees, are often required to work demanding shifts exceeding 24 hours, which expose them to various stressors and impact sleep quality and patterns.

objectivesThis study investigated the impact of sociodemographic, personal, and lifestyle factors on sleep quality among hospital trainees and explored their coping mechanisms for managing stress. METHODOLOGY: This analytic, cross-sectional study approved by the hospital's IRB was conducted among hospital trainees (fellows, non-surgical, and surgical residents) in a tertiary hospital. Data were gathered through an online survey using three validated questionnaires: the Pittsburgh Sleep Quality Index, Brief COPE, and FANTASTIC Lifestyle Questionnaire.

resultsOut of 107 respondents, 92 were included in the study, with the majority of respondents being single, female, and having working shifts over 24 hours. The study revealed an 85% (n=79) prevalence of poor sleep quality, with an average sleep duration of 5.7 hours. Sleep duration was significantly associated with working hours and marital status in the non-surgical resident group. Poor sleep quality in general negatively impacted lifestyle factors, especially in surgical residents. Problem-focused coping was the most commonly used strategy, especially among fellows, while surgical residents scored lower in emotion-focused strategies like humor and religion. Avoidant coping, though generally low, was more evident through self-distraction.

conclusionThis study highlights a high prevalence of sleep deprivation among physician trainees, linked to poor sleep quality and influenced by lifestyle factors. It recommends implementing consistent work shifts, reducing long consecutive hours, and introducing educational programs on sleep hygiene and institutional support to improve trainees' well-being and coping strategies.

Indexed as

coping strategieslifestylephysician traineesshift worksleep quality

Identifiers

PMID40201880
PMCPMC11977824

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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.