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Relationship between family history of alcohol addiction, parents’ education level, and smartphone problem use scale scores
BACKGROUND AND AIMS: Smartphones are ubiquitous. As smartphones increased in popularity, researchers realized that people were becoming dependent on their smartphones. The purpose here was to provide a better understanding of the factors related to problematic smartphone use (PSPU). METHODS: The par...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573002/ https://www.ncbi.nlm.nih.gov/pubmed/28316252 http://dx.doi.org/10.1556/2006.6.2017.016 |
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author | Beison, Ashley Rademacher, David J. |
author_facet | Beison, Ashley Rademacher, David J. |
author_sort | Beison, Ashley |
collection | PubMed |
description | BACKGROUND AND AIMS: Smartphones are ubiquitous. As smartphones increased in popularity, researchers realized that people were becoming dependent on their smartphones. The purpose here was to provide a better understanding of the factors related to problematic smartphone use (PSPU). METHODS: The participants were 100 undergraduates (25 males, 75 females) whose ages ranged from 18 to 23 (mean age = 20 years). The participants completed questionnaires to assess gender, ethnicity, year in college, father’s education level, mother’s education level, family income, age, family history of alcoholism, and PSPU. The Family Tree Questionnaire assessed family history of alcoholism. The Mobile Phone Problem Use Scale (MPPUS) and the Adapted Cell Phone Addiction Test (ACPAT) were used to determine the degree of PSPU. Whereas the MPPUS measures tolerance, escape from other problems, withdrawal, craving, and negative life consequences, the ACPAT measures preoccupation (salience), excessive use, neglecting work, anticipation, lack of control, and neglecting social life. RESULTS: Family history of alcoholism and father’s education level together explained 26% of the variance in the MPPUS scores and 25% of the variance in the ACPAT scores. The inclusion of mother’s education level, ethnicity, family income, age, year in college, and gender did not significantly increase the proportion of variance explained for either MPPUS or ACPAT scores. DISCUSSION AND CONCLUSIONS: Family history of alcoholism and father’s education level are good predictors of PSPU. As 74%–75% of the variance in PSPU scale scores was not explained, future studies should aim to explain this variance. |
format | Online Article Text |
id | pubmed-5573002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-55730022017-09-06 Relationship between family history of alcohol addiction, parents’ education level, and smartphone problem use scale scores Beison, Ashley Rademacher, David J. J Behav Addict Full-Length Report BACKGROUND AND AIMS: Smartphones are ubiquitous. As smartphones increased in popularity, researchers realized that people were becoming dependent on their smartphones. The purpose here was to provide a better understanding of the factors related to problematic smartphone use (PSPU). METHODS: The participants were 100 undergraduates (25 males, 75 females) whose ages ranged from 18 to 23 (mean age = 20 years). The participants completed questionnaires to assess gender, ethnicity, year in college, father’s education level, mother’s education level, family income, age, family history of alcoholism, and PSPU. The Family Tree Questionnaire assessed family history of alcoholism. The Mobile Phone Problem Use Scale (MPPUS) and the Adapted Cell Phone Addiction Test (ACPAT) were used to determine the degree of PSPU. Whereas the MPPUS measures tolerance, escape from other problems, withdrawal, craving, and negative life consequences, the ACPAT measures preoccupation (salience), excessive use, neglecting work, anticipation, lack of control, and neglecting social life. RESULTS: Family history of alcoholism and father’s education level together explained 26% of the variance in the MPPUS scores and 25% of the variance in the ACPAT scores. The inclusion of mother’s education level, ethnicity, family income, age, year in college, and gender did not significantly increase the proportion of variance explained for either MPPUS or ACPAT scores. DISCUSSION AND CONCLUSIONS: Family history of alcoholism and father’s education level are good predictors of PSPU. As 74%–75% of the variance in PSPU scale scores was not explained, future studies should aim to explain this variance. Akadémiai Kiadó 2017-03-16 2017-03 /pmc/articles/PMC5573002/ /pubmed/28316252 http://dx.doi.org/10.1556/2006.6.2017.016 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Full-Length Report Beison, Ashley Rademacher, David J. Relationship between family history of alcohol addiction, parents’ education level, and smartphone problem use scale scores |
title | Relationship between family history of alcohol addiction,
parents’ education level, and smartphone problem use scale
scores |
title_full | Relationship between family history of alcohol addiction,
parents’ education level, and smartphone problem use scale
scores |
title_fullStr | Relationship between family history of alcohol addiction,
parents’ education level, and smartphone problem use scale
scores |
title_full_unstemmed | Relationship between family history of alcohol addiction,
parents’ education level, and smartphone problem use scale
scores |
title_short | Relationship between family history of alcohol addiction,
parents’ education level, and smartphone problem use scale
scores |
title_sort | relationship between family history of alcohol addiction,
parents’ education level, and smartphone problem use scale
scores |
topic | Full-Length Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573002/ https://www.ncbi.nlm.nih.gov/pubmed/28316252 http://dx.doi.org/10.1556/2006.6.2017.016 |
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