Evidence map›Paper›PMID 42605257›Full record

ArticleJournal of public health research2026

Prevalence and associated factors of smartphone addiction among caregivers of children with physical disabilities in Nepal: A cross-sectional study.

Shreesti Sharma, Rajan Bhusal, Sanjiv Prasad Khatiwada, Prakash Kumar Yadav, Bibek Banskota

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Article in Journal of public health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shreesti SharmaDepartment of Research, Hospital and Rehabilitation Center for Disabled Children, Banepa, Nepal.
Rajan BhusalDepartment of Research, Hospital and Rehabilitation Center for Disabled Children, Banepa, Nepal.ORCID https://orcid.org/0000-0002-0808-7476
Sanjiv Prasad KhatiwadaNepalese Army Institute of Health Sciences, Tribhuvan University, Kathmandu, Nepal.ORCID https://orcid.org/0009-0005-3377-5456
Prakash Kumar YadavDepartment of Research, Hospital and Rehabilitation Center for Disabled Children, Banepa, Nepal.
Bibek BanskotaDepartment of Research, Hospital and Rehabilitation Center for Disabled Children, Banepa, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smartphone addiction is an emerging public health concern, particularly among caregivers experiencing chronic stress. Caregivers of children with physical disabilities may be especially vulnerable, yet research on this topic in low-resource settings like Nepal is scarce. This study aimed to determine the prevalence of smartphone addiction and identify its sociodemographic, psychological, and social determinants among caregivers of children with physical disabilities. Methods: A quantitative, cross-sectional, descriptive study was conducted at the country's only specialized pediatric rehabilitation center in Nepal, a national referral hub providing comprehensive care for children with physical disabilities. Consecutive sampling was used to recruit 227 primary caregivers. Inclusion criteria were: age ≥18 years, primary responsibility for the child's daily care, and ability to complete a structured questionnaire. Exclusion criteria included caregivers with severe cognitive impairments or acute illness preventing participation. Data were collected using a structured questionnaire incorporating the Smartphone Addiction Scale-Short Version (SAS-SV). Descriptive statistics, Chi-square tests, t-tests, and multivariable logistic regression were used to examine associations between smartphone addiction and participant characteristics. Results: In this sample of 227 caregivers, 62.1% (n=141) screened above the SAS-SV risk threshold for problematic smartphone use. Significant determinants identified in multivariable logistic regression included female gender (AOR=5.83, 95% CI 1.58-21.45, p=0.008), unemployment (AOR=19.17, 95% CI 1.14-323.85, p=0.041), ethnicity (Brahmin/Chhetri: AOR=0.009, 95% CI 0.000-0.234, p=0.005; Janajati: AOR=0.015, 95% CI 0.001-0.420, p=0.014), chronic illness (AOR=0.009, 95% CI 0.000-0.514, p=0.022), frequent headaches (AOR=0.004, 95% CI 0.000-0.093, p<0.001), and occasional eye strain (AOR=0.081, 95% CI 0.009-0.748, p=0.027). Conclusion: In this sample, a high proportion of caregivers screened at risk for problematic smartphone use, with female gender and unemployment associated with higher adjusted odds. Given the cross-sectional design, these findings are preliminary and hypothesis-generating, and further longitudinal research is needed before screening or intervention strategies can be recommended.

Indexed as

caregiverscross-sectional studydigital healthNepalphysical disabilitiessmartphone addiction

Identifiers

PMID42605257
PMCPMC13477520

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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.