单位：[1]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, Beijing, China[6]Department of Obstetrics, Union Medical College Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China[7]Department of Obstetrics, Shuangliu District Maternal and Child Health Hospital, Chengdu, Sichuan, China[8]Department of Obstetrics, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China中国医科大学附属盛京医院[9]Department of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China[10]Department of Obstetrics, China-Japan Friendship Hospital, Beijing, China[11]Department of Obstetrics, Qinghai Provincial People’s Hospital, Xining, Qinghai, China[12]Health Management Center, Maternal and Child Health Care Hospital of Uygur Autonomous Region, Urumqi, Xinjiang, China[13]Department of Obstetrics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China[14]Department of Obstetrics, Nantong Maternity and Child Health Care Hospital, Nantong, Jiangsu, China[15]School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China[16]Department of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, Victoria, Australia[17]Department of Nursing, Peking Union Medical College Hospital, Beijing, China
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.
基金：
National Science and Technology Major Project for investigational new drug [2018ZX09201-014]; Beijing Municipal Science & Technology Commission [Z181100001518005]; University of Macau [MYRG2019-00066FHS]
第一作者单位：[1]Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510120, China
共同第一作者：
通讯作者：
通讯机构：[15]School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China[16]Department of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, Victoria, Australia[17]Department of Nursing, Peking Union Medical College Hospital, Beijing, China[*1]Faculty of Health Sciences, University of Macau, Avenida da Universidade, 3/F, Building E12, Taipa, Macau SAR, China.OR Department of Nursing, Peking Union Medical College Hospital, Beijing, China.OR The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, Victoria, Australia.
推荐引用方式(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.doi:10.1016/j.jad.2021.10.092.
APA：
Yang Yuan,Zhang Dong-Ying,Li Yi-Lin,Zhang Meng,Wang Pei-Hong...&Xiang Yu-Tao.(2022).Prevalence, correlates, and network analysis of Internet addiction symptoms among Chinese pregnant and postpartum women.JOURNAL of AFFECTIVE DISORDERS,298,
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
医学