Evidence map›Paper›PMID 41915677›Full record

ArticlePloS one2026

Screen time and chronic neck pain in Peru: A comparative population-based cross-sectional study in the COVID-19 post-pandemic period.

Tomas Nakazato, Franco Romani-Romani, César Gutiérrez

Abstract readComparative Study
In one paragraph

Article in PloS one, 2026. 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

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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

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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. Observational
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

3 authors.

Tomas NakazatoFacultad de Medicina Humana, Universidad de Piura, Lima, Peru.
Franco Romani-RomaniFacultad de Medicina Humana, Universidad de Piura, Lima, Peru.ORCID https://orcid.org/0000-0002-6471-5684
César GutiérrezFacultad de Medicina Humana, Universidad de Piura, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic neck pain (CNP) is a prevalent condition worldwide. During the COVID-19 pandemic, its prevalence increased, partly due to the rise in screen time associated with digital device use. However, two years after the pandemic, there is still a lack of epidemiological data on its current prevalence. This study aimed to estimate the prevalence of CNP among adults in Peru in 2025 and assess its association with screen viewing time.

methodsWe conducted a cross-sectional study involving a nationally representative sample of Peruvian individuals aged 18 years or older, whose data were collected in February 2025. The dependent variable -CNP- was self-reported based on symptoms experienced in the prior six months, and the exposure was the average daily screen time (hours/day). We assessed the association with multinomial logistic regression, adjusting by sex, age, rurality, and region of residence. The prevalences of the outcome and the exposure were described along with the estimates from November 2022, at the end of the pandemic.

results1208 individuals were surveyed (51.6% women), with a mean age of 40.34 years (95% confidence interval [CI]: 39.3-41.3). CNP daily or near-daily affected 15.6% (95%CI: 13.4-18.0) of the participants; representing a slight but non-significant increase compared to 2022 (14.8%, 95%IC: 12.6-17.3) (p = 0.525). Screen time exceeding 8 hours per day was significantly associated with daily or near-daily CNP (odds ratio: 4.17, 95% CI: 2.15-7.69) compared with individuals who had never experienced neck pain.

conclusionsTwo years after the end of the COVID-19 social restrictions in Peru, the prevalence of CNP remains high, with 15 out of 100 adults experiencing this condition daily. The association between screen use and CNP was strongest in adults aged 18-29 years, while other factors may be more influential in adults ≥60. As prolonged screen use is a modifiable risk factor, reducing excessive exposure should be prioritized within prevention strategies to lower CNP prevalence.

Indexed as

Chronic PainCOVID-19Neck PainScreen TimeAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsPeruPrevalenceSARS-CoV-2Young Adult

Identifiers

PMID41915677
PMCPMC13038022

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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.