Exploring the Effects of Loneliness and Internet Addiction on Adults’ Well-Being During COVID-19 Quarantine

AlSumait, Loulwah; Alheneidi, Hasah; Smith, Andrew Paul

doi:10.1007/978-3-030-88163-4_42

Cited by 4 publications

(2 citation statements)

References 32 publications

(45 reference statements)

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“…Therefore, during the Corona period when the population around the world continues to be under lockdown, it has become more dependent on information and communication technology. And therefore, also in the study of AlSumait (2021) which examines the relationship between loneliness, Internet addiction and related factors such as the number of hours spent on the Internet, and the quality of the relationship of people who spend time in lockdown for well-being.…”

Section: Discussionmentioning

confidence: 99%

Loneliness as a predictor of Internet addiction among adolescentes from Arab society in Israel

Nibal

2023

EDMETIC

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Internet afecta a casi todos los aspectos de nuestras vidas. Puede ir acompañado de un uso excesivo y problemático e incluso de adicción. Lo que hará que los límites entre el mundo interior y el mundo digital se desdibujen. Los adolescentes que aún se encuentran en el período de desarrollo son los más vulnerables. Por lo tanto, el objetivo del estudio actual es examinar la soledad como predictor de la adicción a Internet entre los adolescentes árabes en Israel. La muestra de la investigación consistió en estudiantes adolescentes de secundaria y preparatoria de la sociedad árabe en el norte de Israel (n=382) de 12 a 17 años (M = 15.42, SD = 1.27). Alrededor del 65% de ellos eran niñas y alrededor del 35% eran niños. La muestra incluía adolescentes musulmanes, cristianos y drusos. Los resultados de la investigación indicaron que existe una correlación positiva entre la soledad y la adicción a Internet. Además, se encontró que el nivel promedio de adicción a Internet entre los niños (M=2.60, SD=1.03) es más alto que entre las niñas (M=2.60, SD=1.03), lo que significa que los niños son más adictos a Internet que las niñas. Los hallazgos también indican una diferencia significativa entre niños y niñas en el grado de soledad (t=2.653, p<0.01), se encontró que el nivel promedio de soledad entre los niños (M=2.56, DT=0.92) es mayor que entre los niños. niñas (M=2.31, SD=0.81), los niños reportan un mayor nivel de soledad que las niñas.

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Section: Discussionmentioning

confidence: 99%

Loneliness as a predictor of Internet addiction among adolescentes from Arab society in Israel

Nibal

2023

EDMETIC

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“…One single AMPS2 test costs US $9. In our work, some patients used three tests due to the turbidity of urine, (3) General Health questionnaire GHQ30 ( 19 ) (with permission from a publishing company Mapi Research Trust with order number 2315915), (4) Beck Depression Inventory-II ( 20 ): the Arabic version was used, (5) University of California, Los Angeles (version 3) ( 15 ): the Arabic version was used ( 21 ), and (6) Modified Overt Aggression Scale: the Arabic version was used ( 3 , 22 , 23 ).…”

Section: Methodsmentioning

confidence: 99%

The impact of methamphetamine on psychosocial variables in patients from Iraq

Abbass,

Al-Hemiary,

Sahib

2024

Front. Psychiatry

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BackgroundThe current work reviews the psychosocial factors associated with different urinary methamphetamine concentration levels.MethodsFrom April to November 2023, 243 participants from Baghdad’s Al-Ataa Hospital were the subjects of a cross-sectional descriptive analysis study. We included 73 patients in this study.ResultThe urinary methamphetamine concentration levels were from 3 to 92,274 ng/ml, with a mean ± SD of 10,873.6 ± 18,641. Patients diagnosed with major depression disorder exhibited higher scores on GHQ-30, UCLA, MOAS, and BDI-II with a significant P-value of 0.0001, 0.001, 0.0001, and 0.0001, consequently with an effect size of 0.015, 0.001, 1.05, and 3.24, respectively.ConclusionsThe multi-screening test can produce a false positive. It frequently interferes with other drugs, especially antidepressants. This will result in patients being stigmatized and accused. On the other hand, those who accidentally come into contact with crystal smoke will experience the same withdrawal symptoms as the addicted patients. Their urinary methamphetamine level (titer) could have negative results. Urinary methamphetamine levels should be zero in healthy patients. In this situation, screening tests, expert opinion, and urine methamphetamine testing are strongly recommended.

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Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

et al. 2022

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Purpose of Review The COVID-19 pandemic changed people’s lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately. Recent Findings Four databases (PubMed, Scopus, ISI Web of Knowledge, and ProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants’ characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data. Summary Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.

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Exploring the Effects of Loneliness and Internet Addiction on Adults’ Well-Being During COVID-19 Quarantine

Cited by 4 publications

References 32 publications

Loneliness as a predictor of Internet addiction among adolescentes from Arab society in Israel

Loneliness as a predictor of Internet addiction among adolescentes from Arab society in Israel

The impact of methamphetamine on psychosocial variables in patients from Iraq

Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

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