Nomophobia Questionnaire (NMP-Q) Across China, Bangladesh, Pakistan, and Iran
Confirmatory Factor Analysis, Measurement Invariance, and Network Analysis
Bibliographic Data
| ID | 15440876 |
|---|---|
| Authors | Li Li (0000-0001-9700-9682, Gannan Medical University), I‐Hua Chen (0000-0001-6999-6406, Qufu Normal University), Mohammed A Mamun (0000-0002-1728-8966, Jahangirnagar University), Firoj Al-Mamun (0000-0003-4611-9624, Jahangirnagar University), Firoj Al Mamun, Irfan Ullah (0000-0001-9410-4107), F Jaguga (0000-0003-1100-101X, Gandhara University), Ismail Hosen (0000-0001-6406-7325, Jahangirnagar University), Najma Iqbal Malik (0000-0002-3521-1014, University of Sargodha), Abiha Fatima (University of Sargodha), Ali Poorebrahim (0000-0003-2358-0901, Guilan University of Medical Sciences), Morteza Pourgholami (0000-0002-1921-4784, Guilan University of Medical Sciences), Marc N Potenza (0000-0002-6323-1354, Yale University), Chung-Ying Lin (0000-0002-2129-4242, National Cheng Kung University, corresponding author), Amir H Pakpour (0000-0002-8798-5345, Qazvin University of Medical Sciences, corresponding author) |
| Year | 2023 |
| Volume | 23 |
| Issue | 2 |
| Pages | 1054-1069 |
| Publication date | 2023-09-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Mental Health and Addiction (JOURNAL) |
| Journal identifiers | ISSN: 1557-1874 • E-ISSN: 1557-1882 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11469-023-01154-3 |
| OpenAlex | W4386727235 |
| Language | EN |
| Citations received | 3 |
| References cited | 54 |
The popularity and advancement of smartphones generate a new phenomenon of smartphone addiction. To promote early identification of individuals at risk of smartphone addiction, healthcare providers could assess if an individual has nomophobia (i.e., anxiety and worry of having no smartphone at hand). The present study aimed to evaluate the psychometric properties of the Nomophobia Questionnaire (NMP-Q) across four countries: China, Bangladesh, Pakistan, and Iran. Via cross-sectional design and convenience sampling, 7871 participants (5969 Chinese, 534 Bangladeshi, 666 Pakistani, and 702 Iranian) completed the NMP-Q. Confirmatory factor analysis (CFA) and network analysis were used to examine the psychometric properties of the NMP-Q across the four countries. CFA identified a four-factor structure (Tucker-Lewis index = 0.934, comparative fit index = 0.943, standardized root mean square residual = 0.037, and root mean square error of approximation = 0.079) for the NMP-Q, and the four-factor structure was measurement invariant across genders and countries. Network analysis results supported the CFA findings via visualized correlations among the NMP-Q items. The four-factor structure of the NMP-Q was consistently found in the four countries of China, Bangladesh, Pakistan, and Iran, indicating that the NMP-Q includes four specific domains. Measurement invariance suggests the NMP-Q may effectively assess nomophobia across genders and countries
Anxiety · Confirmatory factor analysis · Measurement invariance · Psychiatry · Statistics · Structural equation modeling · Worry · Clinical Psychology · Digital Mental Health Interventions · Impact of Technology on Adolescents · Mathematics · Mental Health Research Topics · Psychology
Structural Equation Modeling With EQS
Network analysis of multivariate data in psychological science
Global prevalence of digital addiction in general population
Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales
Sparse inverse covariance estimation with the graphical lasso
Time invariance of three ultra-brief internet-related instruments
Extended Bayesian information criteria for model selection with large model spaces
Internet addiction and sleep problems
Network Analysis in the Social Sciences
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Estimating psychological networks and their accuracy
Qgraph
Principles and practice in reporting structural equation analyses.
Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures
Gender Differences in the Associations Between Physical Activity, Smartphone Use, and Weight Stigma
A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia
Temporal associations between physical activity and three types of problematic use of the internet
Comparing generalized and specific problematic smartphone/internet use
A network analysis of the Internet Disorder Scale–Short Form (IDS9-SF)
Nomophobia
Smartphone use and smartphone addiction among young people in Switzerland
Exploring the dimensions of nomophobia
Mean and Covariance Structures (Macs) Analyses of Cross-Cultural Data
Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress
Associations of Problematic Internet Use, Weight-Related Self-Stigma, and Nomophobia with Physical Activity
Effects of Weight-Related Self-Stigma and Smartphone Addiction on Female University Students’ Physical Activity Levels
The Psychometric Properties of the Smartphone Application-Based Addiction Scale (Sabas)
Smartphone Application-Based Addiction Among Iranian Adolescents
Assessing Nomophobia
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |