Evidence map›Paper›PMID 42220474›Full record

ArticleNature and science of sleep2026

The Level of Smartphone Addiction and Its Relationship to High Blood Pressure Among Middle-Aged and Elderly People in Rural Areas of China.

Liandi Cheng, Yunhao Zheng, Xiaoguang Chen, Jiazhi Wu, Yixuan Pan, Xin Xiong, Zheng Ye

Abstract read
In one paragraph

Article in Nature and science of sleep, 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

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

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

7 authors.

Liandi Cheng *West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yunhao Zheng *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0002-4906-2830
Xiaoguang ChenGuangze County Grid-Based National Health Service Leading Group, Guangze, People's Republic of China.
Jiazhi WuGuangze County Grid-Based National Health Service Leading Group, Guangze, People's Republic of China.
Yixuan PanState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, People's Republic of China.
Xin XiongState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0003-2175-0970
Zheng YeWest China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: There is a lack of research on the association between smartphone addiction and hypertension (HTN) in middle-aged and elderly populations, and their associations with employment status and sleep quality are still unclear. Methods: This study was conducted in 85 villages in southeastern China. A total of 975 middle-aged and elderly participants (mean age: 60.70 years; 483 males and 492 females) were included. Demographic data were collected. Smartphone addiction was assessed using the Smartphone Addiction Scale-Short Version (SAS-SV), and sleep quality was measured using the Brief version of the Pittsburgh Sleep Quality Index (B-PSQI). Multiple regression and moderated mediation analyses were used to explore the potential moderating role of employment status (employed vs. unemployed/retired) and the mediating role of sleep quality in the association between smartphone addiction and HTN. Results: A total of 415 (42.56%) individuals were suffering from HTN. Smartphone addiction was significantly and positively associated with sleep quality ( Conclusion: Smartphone addiction is associated with HTN among middle-aged and elderly individuals in rural China. Among unemployed or retired individuals, smartphone addiction may be directly associated with HTN, whereas among employed individuals, this association may be mediated by sleep quality. Reducing excessive smartphone use in rural middle-aged and elderly residents and improving sleep quality (especially in employed individuals) may help mitigate HTN risk. Future studies are warranted to explore underlying mechanisms using longitudinal designs.

Indexed as

hypertensionmiddle-aged and elderlyrural Chinasleep qualitysmartphone addiction

Identifiers

PMID42220474
PMCPMC13221434

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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.