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Supplemental Material for Quantifying smartphone “use”: Choice of measurement impacts relationships between “usage” and health

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Supplemental Material for Quantifying smartphone “use”: Choice of measurement impacts relationships between “usage” and health. / Shaw, Heather; Ellis, David A.; Geyer, Kristoffer et al.
In: Technology, Mind, and Behavior, Vol. 1, No. 2, 30.11.2020.

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Shaw H, Ellis DA, Geyer K, Davidson BI, Ziegler FV, Smith A. Supplemental Material for Quantifying smartphone “use”: Choice of measurement impacts relationships between “usage” and health. Technology, Mind, and Behavior. 2020 Nov 30;1(2). doi: 10.1037/tmb0000022.supp

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Bibtex

@article{e59055ecfeb84924998861aeeda77a3f,
title = "Supplemental Material for Quantifying smartphone “use”: Choice of measurement impacts relationships between “usage” and health",
abstract = "Problematic smartphone scales and duration estimates of use dominate research that considers the impact of smartphones on people and society. However, issues with conceptualization and subsequent measurement can obscure genuine associations between technology use and health. Here, we consider whether different ways of measuring “smartphone use,” notably through problematic smartphone use (PSU) scales, subjective estimates, or objective logs, lead to contrasting associations between mental and physical health. Across two samples including iPhone (n = 199) and Android (n = 46) users, we observed that measuring smartphone interactions with PSU scales produced larger associations between mental health when compared with subjective estimates or objective logs. Notably, the size of the relationship was fourfold in Study 1, and almost three times as large in Study 2, when relying on a PSU scale that measured smartphone “addiction” instead of objective use. Further, in regression models, only smartphone “addiction” scores predicted mental health outcomes, whereas objective logs or estimates were not significant predictors. We conclude that addressing people{\textquoteright}s appraisals including worries about their technology usage is likely to have greater mental health benefits than reducing their overall smartphone use. Reducing general smartphone use should therefore not be a priority for public health interventions at this time.",
author = "Heather Shaw and Ellis, {David A.} and Kristoffer Geyer and Davidson, {Brittany I.} and Ziegler, {Fenja V.} and Alice Smith",
year = "2020",
month = nov,
day = "30",
doi = "10.1037/tmb0000022.supp",
language = "English",
volume = "1",
journal = "Technology, Mind, and Behavior",
issn = "2689-0208",
publisher = "American Psychological Association",
number = "2",

}

RIS

TY - JOUR

T1 - Supplemental Material for Quantifying smartphone “use”

T2 - Choice of measurement impacts relationships between “usage” and health

AU - Shaw, Heather

AU - Ellis, David A.

AU - Geyer, Kristoffer

AU - Davidson, Brittany I.

AU - Ziegler, Fenja V.

AU - Smith, Alice

PY - 2020/11/30

Y1 - 2020/11/30

N2 - Problematic smartphone scales and duration estimates of use dominate research that considers the impact of smartphones on people and society. However, issues with conceptualization and subsequent measurement can obscure genuine associations between technology use and health. Here, we consider whether different ways of measuring “smartphone use,” notably through problematic smartphone use (PSU) scales, subjective estimates, or objective logs, lead to contrasting associations between mental and physical health. Across two samples including iPhone (n = 199) and Android (n = 46) users, we observed that measuring smartphone interactions with PSU scales produced larger associations between mental health when compared with subjective estimates or objective logs. Notably, the size of the relationship was fourfold in Study 1, and almost three times as large in Study 2, when relying on a PSU scale that measured smartphone “addiction” instead of objective use. Further, in regression models, only smartphone “addiction” scores predicted mental health outcomes, whereas objective logs or estimates were not significant predictors. We conclude that addressing people’s appraisals including worries about their technology usage is likely to have greater mental health benefits than reducing their overall smartphone use. Reducing general smartphone use should therefore not be a priority for public health interventions at this time.

AB - Problematic smartphone scales and duration estimates of use dominate research that considers the impact of smartphones on people and society. However, issues with conceptualization and subsequent measurement can obscure genuine associations between technology use and health. Here, we consider whether different ways of measuring “smartphone use,” notably through problematic smartphone use (PSU) scales, subjective estimates, or objective logs, lead to contrasting associations between mental and physical health. Across two samples including iPhone (n = 199) and Android (n = 46) users, we observed that measuring smartphone interactions with PSU scales produced larger associations between mental health when compared with subjective estimates or objective logs. Notably, the size of the relationship was fourfold in Study 1, and almost three times as large in Study 2, when relying on a PSU scale that measured smartphone “addiction” instead of objective use. Further, in regression models, only smartphone “addiction” scores predicted mental health outcomes, whereas objective logs or estimates were not significant predictors. We conclude that addressing people’s appraisals including worries about their technology usage is likely to have greater mental health benefits than reducing their overall smartphone use. Reducing general smartphone use should therefore not be a priority for public health interventions at this time.

U2 - 10.1037/tmb0000022.supp

DO - 10.1037/tmb0000022.supp

M3 - Journal article

VL - 1

JO - Technology, Mind, and Behavior

JF - Technology, Mind, and Behavior

SN - 2689-0208

IS - 2

ER -