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Prevalence, correlates, and network analysis of Internet addiction symptoms among Chinese pregnant and postpartum women
Yang, Yuan1,2,3,4; Zhang, Dong Ying5; Li, Yi Lin5; Zhang, Meng5; Wang, Pei Hong6; Liu, Xiao Hua7; Ge, Li Na8; Lin, Wen Xuan9; Xu, Yang10; Zhang, Ya Lan11; Li, Feng Juan12; Xu, Xu Juan13; Wu, Hong He14; Cheung, Teris15; Ng, Chee H.16; Bo, Hai Xin17; Xiang, Yu Tao2,3,4
2022-02-01
Source PublicationJournal of Affective Disorders
ISSN0165-0327
Volume298Pages:126-133
Abstract

Objective: Excessive Internet use is a common health problem globally. This study aimed to assess the prevalence, correlates, and network structure of Internet addiction symptoms (Internet addiction hereafter) among Chinese pregnant and postpartum women. Methods: This was a multicenter cross-sectional study using Internet Addiction Test (IAT) and the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) to evaluate Internet addiction and quality of life (QOL), respectively. Univariate analyses, multivariate logistic regression analyses, and network analyses were performed. Results: Of a total of 1,060 women who completed the study, 320 (30.19%, 95% CI=27.42%-32.96%) women reported Internet addiction during or after pregnancy. Women with previous adverse pregnancy experiences (OR=1.831, P=0.001) and physical comorbidities (OR=1.724, P=0.004) had a higher likelihood of developing Internet addiction. Internet addiction was significantly associated with poor QOL in all domains. Network analyses revealed that IAT item 16 (request an extension for longer time spent online) was the most central symptom in the analyses, and also one of the strongest bridging symptoms linking the Internet addiction and QOL communities. Limitations: This was a cross-sectional study, all study findings were based on self-reported data, and possible recall bias and selection bias may exist. Conclusion: Internet addiction is common among Chinese pregnant and postpartum women, and is significantly associated with lower QOL. Effective strategies, especially focusing on central symptoms, are needed to reduce the impact of Internet addiction and improve QOL in pregnant and postpartum women.

KeywordInternet Addiction Postpartum Pregnant Quality Of Life Women
DOI10.1016/j.jad.2021.10.092
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectClinical Neurology ; Psychiatry
WOS IDWOS:000768324700016
Scopus ID2-s2.0-85118796861
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Health Sciences
Corresponding AuthorNg, Chee H.; Bo, Hai Xin; Xiang, Yu Tao
Affiliation1.Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510120, China
2.Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
3.Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
4.Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China
5.Department of Obstetrics, Peking Union Medical College Hospital, China
6.Department of Obstetrics, Union Medical College Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
7.Department of Obstetrics, Shuangliu District Maternal and Child Health Hospital, Chengdu, China
8.Department of Obstetrics, Shengjing Hospital, China Medical University, Shenyang, China
9.Department of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, China
10.Department of Obstetrics, China-Japan Friendship Hospital, China
11.Department of Obstetrics, Qinghai Provincial People's Hospital, Xining, China
12.Health Management Center, Maternal and Child Health Care Hospital of Uygur Autonomous Region, Urumqi, China
13.Department of Obstetrics, Affiliated Hospital of Nantong University, Nantong, China
14.Department of Obstetrics, Nantong Maternity and Child Health Care Hospital, Nantong, China
15.School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, Hong Kong
16.Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Australia
17.Department of Nursing, Peking Union Medical College Hospital, China
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Yang, Yuan,Zhang, Dong Ying,Li, Yi Lin,et al. Prevalence, correlates, and network analysis of Internet addiction symptoms among Chinese pregnant and postpartum women[J]. Journal of Affective Disorders,2022,298:126-133.
APA Yang, Yuan,Zhang, Dong Ying,Li, Yi Lin,Zhang, Meng,Wang, Pei Hong,Liu, Xiao Hua,Ge, Li Na,Lin, Wen Xuan,Xu, Yang,Zhang, Ya Lan,Li, Feng Juan,Xu, Xu Juan,Wu, Hong He,Cheung, Teris,Ng, Chee H.,Bo, Hai Xin,&Xiang, Yu Tao.(2022).Prevalence, correlates, and network analysis of Internet addiction symptoms among Chinese pregnant and postpartum women.Journal of Affective Disorders,298,126-133.
MLA Yang, Yuan,et al."Prevalence, correlates, and network analysis of Internet addiction symptoms among Chinese pregnant and postpartum women".Journal of Affective Disorders 298(2022):126-133.
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