Yongjie Zhou1, Ruoxi Wang2,3, Lei Liu4, Ting Ding4, Lijuan Huo5,6, Ling Qi7, Jie Xiong8, Jie Yan9, Lingyun Zeng1, Jiezhi Yang10, Suyi Song11, Gaolanxin Dai11. 1. Shenzhen Kanning Hospital, Shenzhen, 518020, China. 2. School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. ruoxiwang@hust.edu.cn. 3. Research Center for Rural Health Services, Hubei Province Key Research Institute of Humanities and Social Sciences, Wuhan, 430030, Hubei, China. ruoxiwang@hust.edu.cn. 4. Qingdao Mental Health Center, Qingdao University, Qingdao, 266034, China. 5. Department of Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510000, China. 6. The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510000, China. 7. School of Health Science and Nursing, Wuhan Polytechnic University, Wuhan, 430023, China. 8. ESSCA School of Management, 1 Rue Joseph Lakanal - BP 40348, 49003 Cedex 01, Angers, France. 9. Grenoble Ecole de Management, 12 Rue Pierre Semard, 38000, Grenoble, France. 10. Shenzhen Health Development Research Center, Shenzhen, 518028, China. 11. School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Abstract
BACKGROUND: Although more and more attention has been paid to the psychological consequences of the lockdown policy amongst pregnant women, the underlying mechanism linking the lockdown policy to maternal depression has not been studied in the context of China. This study aimed to explore the association between the lockdown policy and maternal depressive symptoms, and whether such association was mediated by internet use and/or family support. METHODS: This cross-sectional study used multi-stage sampling techniques in central and western China. Data were collected from 1266 pregnant women using a structtured questionnaire that measured internet use, family support, and depressive symptoms. The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms. Internet use was measured by length of usage and varierity of purpose for internet use. Family support was measureed by spousal support and parental support. The structural equation modelling was employed to conduct mediation analysis to test the specificity of the hypothetical paths. RESULTS: Overall, 527 respondents (41.63%) presented depressive symptoms. The lockdown policy was negatively associated with depressive symptoms in pregnant women (β = - 0.925, 95% CI = -1.510, - 0.360). The impact of the lockdown policy on depressive symptoms was partially mediated by internet use (β = 1.589, 95% CI = 0.730, 2.807) and family support (β = - 0.162, 95% CI = - 0.341, - 0.017), accounting for 42.67% of the total effect. CONCLUSIONS: The lockdown policy was generally associated with fewer depressive symptoms in pregnant women. The lockdown policy increased maternal depressive symptoms through increased internet use, but decreased maternal depressive symptoms through enhanced family support. The findings suggest that the psychological consequence of the lockdown policy may vary across different populations, and warrant the need to take into consideration the features of subgroups.
BACKGROUND: Although more and more attention has been paid to the psychological consequences of the lockdown policy amongst pregnant women, the underlying mechanism linking the lockdown policy to maternal depression has not been studied in the context of China. This study aimed to explore the association between the lockdown policy and maternal depressive symptoms, and whether such association was mediated by internet use and/or family support. METHODS: This cross-sectional study used multi-stage sampling techniques in central and western China. Data were collected from 1266 pregnant women using a structtured questionnaire that measured internet use, family support, and depressive symptoms. The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms. Internet use was measured by length of usage and varierity of purpose for internet use. Family support was measureed by spousal support and parental support. The structural equation modelling was employed to conduct mediation analysis to test the specificity of the hypothetical paths. RESULTS: Overall, 527 respondents (41.63%) presented depressive symptoms. The lockdown policy was negatively associated with depressive symptoms in pregnant women (β = - 0.925, 95% CI = -1.510, - 0.360). The impact of the lockdown policy on depressive symptoms was partially mediated by internet use (β = 1.589, 95% CI = 0.730, 2.807) and family support (β = - 0.162, 95% CI = - 0.341, - 0.017), accounting for 42.67% of the total effect. CONCLUSIONS: The lockdown policy was generally associated with fewer depressive symptoms in pregnant women. The lockdown policy increased maternal depressive symptoms through increased internet use, but decreased maternal depressive symptoms through enhanced family support. The findings suggest that the psychological consequence of the lockdown policy may vary across different populations, and warrant the need to take into consideration the features of subgroups.
Entities:
Keywords:
COVID-19; Family support; Internet use; Lockdown; Maternal depressive symptoms; Pregnant women
Authors: Constance Guille; Elena Frank; Zhuo Zhao; David A Kalmbach; Paul J Nietert; Douglas A Mata; Srijan Sen Journal: JAMA Intern Med Date: 2017-12-01 Impact factor: 21.873
Authors: Biljana Gjoneska; Marc N Potenza; Julia Jones; Célia M D Sales; Georgi Hranov; Zsolt Demetrovics Journal: Curr Opin Behav Sci Date: 2022-07-29