Evidence map›Paper›PMID 30034299›Full record

ArticleProceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences2016

Development of the Mobile Phone Attachment Scale.

Beth C Bock, Herpreet Thind, Joseph L Fava, Kristen Walaska, Nancy P Barnett, Rochelle Rosen, Regina Traficante, Ryan Lantini

Abstract read
In one paragraph

Article in Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Assessing mobile phone attachment: a psychometric study in the Portuguese young adult population.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026
    Article
  2. Article
  3. Article
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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.

Beth C BockBrown University Medical School.
Herpreet ThindBrown University Medical School.
Joseph L FavaThe Miriam Hospital.
Kristen WalaskaThe Miriam Hospital.
Nancy P BarnettBrown School of Public Health.
Rochelle RosenBrown University Medical School.
Regina TraficanteCommunity College of Rhode Island.
Ryan LantiniThe Miriam Hospital.

Funding

Text Messaging as a Novel Alcohol Intervention for Community College StudentsR21AA021014 · NIAAA · MIRIAM HOSPITAL · PI BOCK, BETH C · 2012 to 2013
$377k
NIAAA NIH HHS R21 AA021014
6 · The paper itself

Abstract

Existing instruments that assess the individual's relationship with technology tend to focus on negative constructs and assume that a high use of technology reflects pathology. Since technology use can be beneficial, there is a need for a more balanced instrument. An initial survey to assess the individual's relationship with their mobile phone was developed, checked for face validity and the resulting survey was administered online to students at local colleges. 146 adults (mean age=25.5 years) completed surveys. Principal Component Analysis with varimax rotation produced a final 27-item scale with factor loadings from .50 to .81, representing 4 components: "Usefulness", "Anxious Attachment", "Addiction" and "24/7" (continuous use). This study produced an instrument to assess multiple aspects of the individuals' relationship to their mobile phone. Additional work is needed to validate this measure in other populations, with larger samples, and to assess its predictive ability in mHealth interventions delivered through mobile phones.

Identifiers

PMID30034299
PMCPMC6053277

What OpenQuestion holds

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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.