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Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study.
Zhang, Xiaotong; Liu, Jue; Han, Na; Yin, Jing.
  • Zhang X; School of Medicine, Macau University of Science and Technology, Macau, China.
  • Liu J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Han N; Department of Obstetrics and Gynecology, Maternal and Child Health Hospital of Tongzhou District, Beijing, China.
  • Yin J; Department of Obstetrics and Gynecology, Maternal and Child Health Hospital of Tongzhou District, Beijing, China.
JMIR Public Health Surveill ; 7(1): e25241, 2021 01 05.
Article in English | MEDLINE | ID: covidwho-2141298
ABSTRACT

BACKGROUND:

The COVID-19 pandemic has resulted in changes to normal life and disrupted social and economic function worldwide. However, little is known about the impact of social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women during the COVID-19 pandemic.

OBJECTIVE:

This study aims to assess the association between social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women in the early stage of the COVID-19 pandemic in China.

METHODS:

In this prospective cohort study, 456 singleton pregnant women in mainland China were recruited during January and February 2020. Sociodemographic characteristics, history of previous health, social media use, and current lifestyles were collected at baseline, and we followed up about the occurrence of miscarriage. Log-binomial regression models were used to estimate the risk ratios (RRs) of miscarriage for women with different exposures to COVID-19-specific information.

RESULTS:

Among all the 456 pregnant women, there were 82 (18.0%) who did no physical activities, 82 (18.0%) with inadequate dietary diversity, 174 (38.2%) with poor sleep quality, and 54 (11.8%) spending >3 hours on reading COVID-19 news per day. Women with excessive media use (>3 hours) were more likely to be previously pregnant (P=.03), have no physical activity (P=.003), have inadequate dietary diversity (P=.03), and have poor sleep quality (P<.001). The prevalence of miscarriage was 16.0% (n=73; 95% CI 12.6%-19.4%). Compared with women who spent 0.5-2 hours (25/247, 10.1%) on reading COVID-19 news per day, miscarriage prevalence in women who spent <0.5 hours (5/23, 21.7%), 2-3 hours (26/132, 19.7%), and >3 hours (17/54, 31.5%) was higher (P<.001). Miscarriage prevalence was also higher in pregnant women with poor sleep quality (39/174, 22.4% vs 34/282, 12.1%; P=.003) and a high education level (66/368, 17.9% vs 7/88, 8.0%; P=.02). In the multivariable model, poor sleep quality (adjusted RR 2.06, 95% CI 1.24-3.44; P=.006), 2-3 hours of media use daily (adjusted RR 1.74, 95% CI 1.02-2.97; P=.04), and >3 hours of media use daily (adjusted RR 2.56, 95% CI 1.43-4.59; P=.002) were associated with miscarriage. In the sensitivity analysis, results were still stable.

CONCLUSIONS:

Pregnant women with excessive media use were more likely to have no physical activity, inadequate dietary diversity, and poor sleep quality. Excessive media use and poor sleep quality were associated with a higher risk of miscarriage. Our findings highlight the importance of healthy lifestyles during the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Abortion, Spontaneous / Pregnant Women / Social Media / Life Style Type of study: Cohort study / Observational study / Prognostic study / Qualitative research Topics: Long Covid Limits: Adult / Female / Humans / Pregnancy Country/Region as subject: Asia Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 25241

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Abortion, Spontaneous / Pregnant Women / Social Media / Life Style Type of study: Cohort study / Observational study / Prognostic study / Qualitative research Topics: Long Covid Limits: Adult / Female / Humans / Pregnancy Country/Region as subject: Asia Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 25241