Evidence map›Paper›PMID 32432555›Full record

ArticleJMIR diabetes2020

Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey.

Lena M Stühmann, Rebecca Paprott, Christin Heidemann, Jens Baumert, Sylvia Hansen, Daniela Zahn, Christa Scheidt-Nave, Paul Gellert

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

10 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

8 authors at 3 institutions in 1 country.

Lena M StühmannInstitute for Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-0550-389X
Rebecca PaprottDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID https://orcid.org/0000-0003-2919-450X
Christin HeidemannDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID https://orcid.org/0000-0002-9413-2148
Jens BaumertDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID https://orcid.org/0000-0003-1399-6874
Sylvia HansenCologne Center for Ethics, Rights, Economics, and Social Sciences of Health, Cologne, Germany.ORCID https://orcid.org/0000-0003-2304-9248
Daniela ZahnPreventive Cardiology and Medical Prevention, Department of Cardiology, University Medical Centre, Johannes Gutenberg University, Mainz, Germany.ORCID https://orcid.org/0000-0002-0477-1369
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID https://orcid.org/0000-0002-1902-7567
Paul GellertInstitute for Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-7492-7210
Robert Koch Institute · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEJohannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence suggests that mobile health app use is beneficial for the prevention and management of type 2 diabetes (T2D) and its associated complications; however, population-based research on specific determinants of health app use in people with and without T2D is scarce.

objectiveThis cross-sectional study aimed to provide population-based evidence on rates and determinants of health app use among adults with and without T2D, thereby covering a prevention perspective and a diabetes management perspective, respectively.

methodsThe study population included 2327 adults without a known diabetes diagnosis and 1149 adults with known T2D from a nationwide telephone survey in Germany conducted in 2017. Rates of smartphone ownership and health app use were estimated based on weighted sample proportions. Among smartphone owners, determinants of health app use were identified for both groups separately in multivariable logistic regression models. Sociodemographic factors, diabetes-related factors or indicators, psychological and health-related factors, and physician-provided information were selected as potential determinants.

resultsAmong participants without known diabetes, 74.72% (1690/2327) were smartphone owners. Of those, 49.27% (717/1690) used health apps, most often to improve regular physical activity. Among participants with T2D, 42.26% (481/1149) were smartphone owners. Of those, 41.1% (171/481) used health apps, most commonly to target a healthy diet. Among people without known diabetes, determinants significantly (all P values <.05) associated with an increased likelihood of health app use compared with their reference group were as follows: younger and middle age of 18 to 44 or 45 to 64 years (odds ratios [ORs] 3.89; P<.001 and 1.76; P=.004, respectively), overweight or obesity (ORs 1.58; P<.001 and 2.07; P<.001, respectively), hypertension diagnosis (OR 1.31; P=.045), former or current smoking (ORs 1.51; P=.002 and 1.58; P<.001, respectively), perceiving health as very good (OR 2.21; P<.001), other chronic diseases (OR 1.48; P=.002), and having received health advice from a physician (OR 1.48; P<.001). A slight or high perceived diabetes risk (ORs 0.78; P=.04 and 0.23; P<.001, respectively) was significantly associated with a decreased likelihood of health app use. Among people with T2D, younger and middle age (18-64 years; OR 1.84; P=.007), female gender (OR 1.61; P=.02), and using a glucose sensor in addition or instead of a glucose meter (OR 2.74; P=.04) were significantly positively associated with health app use.

conclusionsIn terms of T2D prevention, age, diabetes-related risk factors, psychological and health-related factors, and medical health advice may inform app development for specific target groups. In addition, health professionals may encourage health app use when giving advice on health behaviors. Concerning T2D management, only a few determinants seem relevant for explaining health app use among people with T2D, indicating a need for more future research on which people with T2D use health apps and why.

Indexed as

diabetes mellitushealth promotionhealth-related behaviormobile apprisk factorssmartphonetype 2 diabetes

Identifiers

PMID32432555
PMCPMC7270854
OpenAlexW3005326200

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.