Evidence map›Paper›PMID 42046072›Full record

ArticleBMC nursing2026

Individual and joint associations of smartphone addiction and work duration with job burnout in nursing interns: a multicenter cross-sectional study.

Jun Liu, Linfei Dou, Hongyuan Peng, Xinghua Yang, Zheng Zhang, Jiao Luo, Mingmin Xu, Mingyang Wu

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Jun Liu *Hunan Province Maternal and Child Health Care Hospital, No.53 Xiangchun Road , Changsha, 410008, China.
Linfei Dou *Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, No.172 Tongzipo Road, Changsha, 410013, China.
Hongyuan PengHunan Province Maternal and Child Health Care Hospital, No.53 Xiangchun Road , Changsha, 410008, China.
Xinghua YangDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, No.172 Tongzipo Road, Changsha, 410013, China.
Zheng ZhangDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, No.172 Tongzipo Road, Changsha, 410013, China.
Jiao LuoHunan Province Maternal and Child Health Care Hospital, No.53 Xiangchun Road , Changsha, 410008, China.
Mingmin XuHunan Province Maternal and Child Health Care Hospital, No.53 Xiangchun Road , Changsha, 410008, China. 1183559609@qq.com.
Mingyang WuDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, No.172 Tongzipo Road, Changsha, 410013, China. mingyangwu@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province 2025JJ80661Research Project of Hunan Provincial Maternal and Child Health Care Hospital 2023RX30
6 · The paper itself

Abstract

backgroundJob burnout prevalence among healthcare workers is high, posing significant threats to physical or mental health, care quality, and patient safety. While work duration is an established risk factor for burnout, the impact of smartphone addiction and its potential synergistic effect with prolonged work hours on job burnout remains unclear.

methodsIn this multi-center cross-sectional study, a total of 1,055 nursing interns were recruited using a convenience sampling method from hospitals in Hunan Province, China. Smartphone addiction was measured with the Smartphone Addiction Scale-Short Version, and job burnout was evaluated using the Maslach Burnout Inventory-General Survey (MBI-GS). Logistic regression, adjusted for basic demographic information, health status, and lifestyle variables, was used to assess the associations between smartphone addiction, work duration and job burnout. Associations were reported as odds ratios (OR) with their 95% confidence intervals (CI). Additive interactions were examined using relative excess risk due to interaction (RERI) and attributable proportion (AP) metrics.

resultsAmong 1,055 nursing interns, job burnout prevalence was higher with smartphone addiction (47.5% vs. 38.5%; P = 0.012). Additionally, individuals working more than 50 h per week also exhibited a higher prevalence of job burnout (15.8% vs. 9.1%; P = 0.009). In adjusted models, each 1-unit increase in addiction score elevated MBI-GS by 0.471 (95% CI: 0.360–0.583), while addiction status showed borderline association with job burnout (OR = 1.33, 95% CI: 0.99–1.78). The odds of experiencing burnout were notably higher for those working more than 50 h weekly (vs. <40 h/week) (OR = 1.85, 95% CI: 1.13–3.04). Notably, the likelihood of burnout with combined smartphone addiction and prolonged work duration exceeded that obtained from the sum of each exposure taken separately (OR = 3.24, 95% CI: 1.63–6.51; RERI = 1.948, 95% CI: 0.240–3.656; AP = 0.601, 95% CI: 0.293–0.908).

conclusionsThis cross-sectional research suggests that smartphone addiction and prolonged work duration are independent and synergistic risk factors for job burnout among nursing interns. If corroborated by prospective studies, findings could have implications for workplace preventive interventions. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Job burnoutNursing internSmartphone addictionWork duration

Identifiers

PMID42046072
PMCPMC13262324

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LicenceCC BY-NC-ND
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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.