Evidence map›Paper›PMID 39730731›Full record

ArticleScientific reports2024

Impact of health information seeking behavior and digital health literacy on self-perceived health and depression symptoms among older adults in the United States.

Jonathan Aseye Nutakor, Lulin Zhou, Ebenezer Larnyo, Stephen Addai-Dansoh, Yupeng Cui

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Jonathan Aseye NutakorSchool of Management, Jiangsu University, Zhenjiang, Jiangsu, China.
Lulin ZhouSchool of Management, Jiangsu University, Zhenjiang, Jiangsu, China. 1000006300@ujs.edu.cn.
Ebenezer LarnyoCenter for Black Studies Research, University of California, Santa Barbara, CA, USA.
Stephen Addai-DansohSchool of Management, Jiangsu University, Zhenjiang, Jiangsu, China.
Yupeng CuiSchool of Management, Jiangsu University, Zhenjiang, Jiangsu, China.

Funding

National Natural Science Foundation of China 71974064
6 · The paper itself

Abstract

backgroundUnderstanding the impact of digital health literacy and health information-seeking behavior on the self-perceived health and depression symptoms of older adults is crucial, particularly as the number of older internet users is increasing.

methodsThis study utilized data from the Health Information National Trends Survey to examine the relationship between these factors and the health outcomes of adults aged 50 and above.

resultsThe study found that digital health literacy has a positive but non-significant relationship with self-perceived health when other factors are considered. However, education level and body mass index consistently predicted self-perceived health. Moreover, higher digital health literacy was associated with a reduced likelihood of perceived depression symptoms, even after adjusting for demographic and health-related factors.

conclusionsThese findings highlight the importance of digital health literacy in the mental well-being of older adults and provide insights for shaping future health policies and interventions.

Indexed as

DepressionHealth LiteracyInformation Seeking BehaviorAgedAged, 80 and overFemaleHumansMaleMiddle AgedSelf ConceptUnited StatesDepression symptomsDigital health literacyHealth information seeking behaviorOlder adultsSelf-perceived health

Identifiers

PMID39730731
PMCPMC11680910

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.