Evidence map›Paper›PMID 37427252›Full record

ArticleFrontiers in public health2023

eHealth literacy was associated with anxiety and depression during the COVID-19 pandemic in Nigeria: a cross-sectional study.

Oluwadamilare Akingbade, Khadijat Adeleye, Oluwadamilola Agnes Fadodun, Israel Opeyemi Fawole, Jiaying Li, Edmond Pui Hang Choi, Mandy Ho, Kris Yuet Wan Lok, Janet Yuen Ha Wong, Daniel Yee Tak Fong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Oluwadamilare AkingbadeThe Nethersole School of Nursing, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Khadijat AdeleyeUniversity of Massachusetts, Amherst, MA, United States.
Oluwadamilola Agnes FadodunFaculty of Health Sciences, University of Lethbridge, Lethbridge, AB, Canada.
Israel Opeyemi FawoleInstitute of Nursing Research, Osogbo, Osun, Nigeria.
Jiaying LiSchool of Nursing, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Edmond Pui Hang ChoiSchool of Nursing, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Mandy HoSchool of Nursing, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Kris Yuet Wan LokSchool of Nursing, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Janet Yuen Ha WongSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China.
Daniel Yee Tak FongSchool of Nursing, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Oluwabunmi OgungbeJohns Hopkins University School of Nursing, Baltimore, MD, United States.
University of Hong Kong · HKChinese University of Hong Kong · HKJohns Hopkins University · USLadoke Akintola University of Technology · NGUniversity of Lethbridge · CAUniversity of Massachusetts Amherst · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic health (eHealth) literacy may play an important role in individuals' engagement with online mental health-related information. Aim: To examine associations between eHealth literacy and psychological outcomes among Nigerians during the Coronavirus disease-2019 (COVID-19) pandemic. Methods: This was a cross-sectional study among Nigerians conducted using the 'COVID-19's impAct on feaR and hEalth (CARE) questionnaire. The exposure: eHealth literacy, was assessed using the eHealth literacy scale, and psychological outcomes were assessed using the PHQ-4 scale, which measured anxiety and depression; and the fear scale to measure fear of COVID-19. We fitted logistic regression models to assess the association of eHealth literacy with anxiety, depression, and fear, adjusting for covariates. We included interaction terms to assess for age, gender, and regional differences. We also assessed participants' endorsement of strategies for future pandemic preparedness. Results: This study involved 590 participants, of which 56% were female, and 38% were 30 years or older. About 83% reported high eHealth literacy, and 55% reported anxiety or depression. High eHealth literacy was associated with a 66% lower likelihood of anxiety (adjusted odds ratio aOR, 0·34; 95% confidence interval, 0·20-0·54) and depression (aOR: 0·34; 95% CI, 0·21-0·56). There were age, gender, and regional differences in the associations between eHealth literacy and psychological outcomes. eHealth-related strategies such as medicine delivery, receiving health information through text messaging, and online courses were highlighted as important for future pandemic preparedness. Conclusion: Considering that mental health and psychological care services are severely lacking in Nigeria, digital health information sources present an opportunity to improve access and delivery of mental health services. The different associations of e-health literacy with psychological well-being between age, gender, and geographic region highlight the urgent need for targeted interventions for vulnerable populations. Policymakers must prioritize digitally backed interventions, such as medicine delivery and health information dissemination through text messaging, to address these disparities and promote equitable mental well-being.

Indexed as

COVID-19Health LiteracyTelemedicineAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleNigeriaPandemicsanxietyCOVID-19depressioneHealth literacymental health—state of emotional and social well-beingNigeriapandemic preparednesspsychological outcomes

Identifiers

PMID37427252
PMCPMC10323132
OpenAlexW4381616601

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.